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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:MDPI AG Yosuke Yamada; Yosuke Yamada; Tsukasa Yoshida; Yuya Watanabe; Yuya Watanabe; Chiho Goto; Yasuki Higaki; Naoyuki Ebine; Hiroyuki Sagayama; Miwa Yamaguchi; Misaka Kimura; Misaka Kimura; Daiki Watanabe; Hinako Nanri; Keiichi Yokoyama; Keiichi Yokoyama; Aya Itoi; Kazuko Ishikawa-Takata;Accurate assessments of a target population’s energy intake (EI) are essential to prevent poor nutritional status. However, self-reported dietary records (DRs) or food frequency questionnaires (FFQs) are not always accurate, thereby requiring validation and calibration studies. This study aimed to validate the EI estimated by a FFQ using the doubly labeled water (DLW) method. Participants were 109 Japanese older adults (50 women and 59 men) aged 65–88 years. The EI was obtained by a DR and 47-item FFQ over 1 year. The total energy expenditure (TEE) was measured by DLW for ~2 weeks. EI was significantly lower than TEE (p < 0.01); ratios of EI assessed by DR and FFQ against TEE were 0.91 ± 0.17 and 0.82 ± 0.22, respectively. TEE was significantly and moderately correlated with the EI estimated by the DR (r = 0.45, p < 0.01) and FFQ (r = 0.37, p < 0.01). Furthermore, the EI correlation coefficients estimated by DR and the FFQ in this study were not significantly different (p = 0.46). The EI/TEE ratio was significantly and negatively correlated with the body mass index (BMI). In conclusion, EI estimated with a DR or FFQ modestly correlated with TEE, and calibrating EI with a developed equation in this study can attenuate the underestimation of EI.
Nutrients arrow_drop_down NutrientsOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2072-6643/11/7/1546/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu11071546&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2072-6643/11/7/1546/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu11071546&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018Publisher:MDPI AG Emi Kondo; Hiroyuki Sagayama; Yosuke Yamada; Keisuke Shiose; Takuya Osawa; Keiko Motonaga; Shiori Ouchi; Akiko Kamei; Kohei Nakajima; Yasuki Higaki; Hiroaki Tanaka; Hideyuki Takahashi; Koji Okamura;To determine energy density for rapid weight loss (RWL) of weight-classified sports, eight male elite wrestlers were instructed to lose 6% of body mass (BM) within 53 h. Energy deficit during the RWL was calculated by subtracting total energy expenditure (TEE) determined using the doubly labeled water method (DLW) from energy intake (EI) assessed with diet records. It was also estimated from body composition change estimated with the four-component model (4C) and other conventional methods. BM decreased significantly by 4.7 ± 0.5 kg (6.4 ± 0.5%). Total body water loss was the major component of the BM loss (71.0 ± 7.6%). TEE was 9446 ± 1422 kcal, and EI was 2366 ± 1184 kcal during the RWL of 53-h; therefore, the energy deficit was 7080 ± 1525 kcal. Thus, energy density was 1507 ± 279 kcal/kg ∆BM during the RWL, comparable with values obtained using the 4C, three-component model, dual energy X-ray absorptiometry, and stable isotope dilution. Energy density for RWL of wrestlers is lower than that commonly used (7400 or 7700 kcal/kg ΔBM). Although RWL is not recommended, we propose that commonly practiced extreme energy restriction such as 7400 or 7700 kcal/kg ΔBM during RWL appears to be meaningless.
Nutrients arrow_drop_down NutrientsOther literature type . 2018License: CC BYFull-Text: http://www.mdpi.com/2072-6643/10/5/536/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu10050536&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2018License: CC BYFull-Text: http://www.mdpi.com/2072-6643/10/5/536/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu10050536&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Jun Yasukata; Yosuke Yamada; Hiroyuki Sagayama; Yasuki Higaki; Hiroaki Tanaka;The doubly labeled water method is a gold-standard method for the measurement of total energy expenditure in daily life. We aimed to identify the relationship between measured aerobic capacity and total energy expenditure, activity energy expenditure, or physical activity level using the doubly labeled water method in adults of advanced old age. A total of 12 physically independent older adults (10 men and 2 women), aged 81–94 years, participated in this study. The aerobic capacity was evaluated according to the lactate threshold. Total energy expenditure under free-living conditions was assessed using the doubly labeled water method, and self-reported physical activity was obtained using the Japanese version of the International Physical Activity Questionnaire. The lactate threshold was significantly positively correlated with total energy expenditure, activity energy expenditure, and physical activity level after adjusting for age and sex. We found that the aerobic capacity of the lactate threshold was positively and independently correlated with total energy expenditure, activity energy expenditure, or physical activity level. The present results suggest that maintaining aerobic capacity is an important factor in preventing frailty, although further research is required.
Geriatrics arrow_drop_down GeriatricsOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2308-3417/7/2/48/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/geriatrics7020048&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert Geriatrics arrow_drop_down GeriatricsOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2308-3417/7/2/48/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/geriatrics7020048&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:MDPI AG Yosuke Yamada; Hisashi Naito; Takashi Nakagata; Yoichi Hatamoto; Yoichi Hatamoto;Background and objectives: The purpose of this study was to compare the energy expenditures (EE) of a single sit-to-stand (STS) movements with slow and normal speeds using a multi-stage exercise test. Materials and Methods: Twelve young males, aged 21–27 years (age, 23.0 ± 1.7 years; height, 171.2 ± 6.1 cm; weight, 64.3 ± 5.6 kg), performed repeated 3-s stand-up and 3-s sit-down (slow) or 1-s stand-up and 1-s sit-down (normal) movement on two different days with random order. All the participants completed multi-stage tests at different STS frequencies per minute. The slope and intercept of the linear regression relationship between the EE (kcal/min) and the STS frequency were obtained, and the slope of the regression was quantified as the EE of an STS. Results: The metabolic equivalents (METs) of the STS-slow was 4.5 METs for the frequency of 10 times/min (in total 1 min), and the net EE was 5.00 ± 1.2 kcal/min. The net EE of the STS-slow was 0.37 ± 0.12 kcal, which was significantly greater than that during the STS-normal (0.26 ± 0.06 kcal). The difference between the EEs of the STS-slow and STS-normal was significantly greater in taller and heavier subjects. Conclusions: We concluded that the intensity of STS-slow movement is moderate, and the EE during an STS-slow (0.37 ± 0.12 kcal) is higher than that during an STS-normal (0.26 ± 0.06 kcal). Our study results will help exercise and/or health professionals prescribe physical activity programs using STS movement for healthy young population groups.
Medicina arrow_drop_down MedicinaOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1648-9144/55/3/77/pdfData sources: Multidisciplinary Digital Publishing InstituteMedicinaOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1010-660X/55/3/77/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/medicina55030077&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Medicina arrow_drop_down MedicinaOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1648-9144/55/3/77/pdfData sources: Multidisciplinary Digital Publishing InstituteMedicinaOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1010-660X/55/3/77/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/medicina55030077&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 Norway, Norway, Netherlands, Netherlands, Netherlands, Netherlands, United States, Netherlands, France, United Kingdom, United States, United States, Norway, Netherlands, United Kingdom, DenmarkPublisher:Elsevier BV Funded by:NSF | Development and Implement...NSF| Development and Implementation of a Global Human Metabolic Physiology DatabaseWesterterp, Klaas; Yamada, Yosuke; Sagayama, Hiroyuki; Ainslie, Philip; Andersen, Lene; Anderson, Liam; Arab, Lenore; Baddou, Issaad; Bedu-Addo, Kweku; Blaak, Ellen; Blanc, Stephane; Bonomi, Alberto; Bouten, Carlijn; Bovet, Pascal; Buchowski, Maciej; Butte, Nancy; Camps, Stefan; Close, Graeme; Cooper, Jamie; Das, Sai; Cooper, Richard; Dugas, Lara; Ekelund, Ulf; Entringer, Sonja; Forrester, Terrence; Fudge, Barry; Goris, Annelies; Gurven, Michael; Hambly, Catherine; El hamdouchi, Asmaa; Hoos, Marije; Hu, Sumei; Joonas, Noorjehan; Joosen, Annemiek; Katzmarzyk, Peter; Kempen, Kitty; Kimura, Misaka; Kraus, William; Kushner, Robert; Lambert, Estelle; Leonard, William; Lessan, Nader; Martin, Corby; Medin, Anine; Meijer, Erwin; Morehen, James; Morton, James; Neuhouser, Marian; Nicklas, Theresa; Ojiambo, Robert; Pietiläinen, Kirsi; Pitsiladis, Yannis; Plange-Rhule, Jacob; Plasqui, Guy; Prentice, Ross; Rabinovich, Roberto; Racette, Susan; Raichlen, David; Ravussin, Eric; Reynolds, Rebecca; Roberts, Susan; Schuit, Albertine; Sjödin, Anders; Stice, Eric; Urlacher, Samuel; Valenti, Giulio; Van etten, Ludo; Van mil, Edgar; Wells, Jonathan; Wilson, George; Wood, Brian; Yanovski, Jack; Yoshida, Tsukasa; Zhang, Xueying; Murphy-Alford, Alexia; Loechl, Cornelia; Luke, Amy; Pontzer, Herman; Rood, Jennifer; Schoeller, Dale; Wong, William; Speakman, John; Branth, Stefan; Colbert, Lisa; de Bruin, Niels; Dutman, Alice; Elmståhl, Sölve; Fogelholm, Mikael; Harris, Tamara; Heijligenberg, Rik; Jorgensen, Hans; Larsson, Christel; Rothenberg, Elisabet; Mccloskey, Margaret; Meijer, Gerwin; Pannemans, Daphne; Schulz, Sabine; van den Berg-Emons, Rita; van Gemert, Wim; Wilhelmine, W; Verboeket-van De, Venne; Verbunt, Jeanine; Philippaerts, Renaat; Subar, Amy; Tanskanen, Minna; Uauy, Ricardo; Velthuis-Te Wierik, Erica;Physical activity may be a way to increase and maintain fat-free mass (FFM) in later life, similar to the prevention of fractures by increasing peak bone mass.A study is presented of the association between FFM and physical activity in relation to age.In a cross-sectional study, FFM was analyzed in relation to physical activity in a large participant group as compiled in the International Atomic Energy Agency Doubly Labeled Water database. The database included 2000 participants, age 3-96 y, with measurements of total energy expenditure (TEE) and resting energy expenditure (REE) to allow calculation of physical activity level (PAL = TEE/REE), and calculation of FFM from isotope dilution.PAL was a main determinant of body composition at all ages. Models with age, fat mass (FM), and PAL explained 76% and 85% of the variation in FFM in females and males < 18 y old, and 32% and 47% of the variation in FFM in females and males ≥ 18 y old, respectively. In participants < 18 y old, mean FM-adjusted FFM was 1.7 kg (95% CI: 0.1, 3.2 kg) and 3.4 kg (95% CI: 1.0, 5.6 kg) higher in a very active participant with PAL = 2.0 than in a sedentary participant with PAL = 1.5, for females and males, respectively. At age 18 y, height and FM-adjusted FFM was 3.6 kg (95% CI: 2.8, 4.4 kg) and 4.4 kg (95% CI: 3.2, 5.7 kg) higher, and at age 80 y 0.7 kg (95% CI: -0.2, 1.7 kg) and 1.0 kg (95% CI: -0.1, 2.1 kg) higher, in a participant with PAL = 2.0 than in a participant with PAL = 1.5, for females and males, respectively.If these associations are causal, they suggest physical activity is a major determinant of body composition as reflected in peak FFM, and that a physically active lifestyle can only partly protect against loss of FFM in aging adults.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/1b42380zData sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BYFull-Text: http://hdl.handle.net/10852/90462Data sources: Bielefeld Academic Search Engine (BASE)Aberdeen University Research Archive (AURA)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/2164/21305Data sources: Bielefeld Academic Search Engine (BASE)American Journal of Clinical NutritionArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefAmerican Journal of Clinical NutritionArticle . 2021Data sources: Eindhoven University of Technology Research PortalAmerican Journal of Clinical NutritionArticle . 2021License: CC BYData sources: Tilburg University Research PortalServeur académique lausannoisArticle . 2021License: CC BYData sources: Serveur académique lausannoisCopenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)American Journal of Clinical NutritionArticle . 2021License: CC BYData sources: Maastricht University | MUMC+ Research InformationAberdeen University Research Archive (AURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Washington University School of Medicine: Digital Commons@BeckerArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/ajcn/nqab260&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/1b42380zData sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BYFull-Text: http://hdl.handle.net/10852/90462Data sources: Bielefeld Academic Search Engine (BASE)Aberdeen University Research Archive (AURA)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/2164/21305Data sources: Bielefeld Academic Search Engine (BASE)American Journal of Clinical NutritionArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefAmerican Journal of Clinical NutritionArticle . 2021Data sources: Eindhoven University of Technology Research PortalAmerican Journal of Clinical NutritionArticle . 2021License: CC BYData sources: Tilburg University Research PortalServeur académique lausannoisArticle . 2021License: CC BYData sources: Serveur académique lausannoisCopenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)American Journal of Clinical NutritionArticle . 2021License: CC BYData sources: Maastricht University | MUMC+ Research InformationAberdeen University Research Archive (AURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Washington University School of Medicine: Digital Commons@BeckerArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/ajcn/nqab260&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:MDPI AG Yuki Nishida; Shigeho Tanaka; Satoshi Nakae; Yosuke Yamada; Hiroyuki Shirato; Hirohiko Hirano; Satoshi Sasaki; Fuminori Katsukawa;Unintentional weight loss is a major frailty component; thus, assessing energy imbalance is essential for institutionalized elderly residents. This study examined prediction errors of the observed energy intake (OEI) against the actual energy intake obtained from the doubly labeled water (DLW) method and clarified the relationship between the energy gap obtained by subtracting total energy expenditure (TEE) from OEI and subsequent weight changes in elderly residents in long-term care facilities. Overall, 46 participants were recruited in Japan. TEE was measured using the DLW method, and OEI was calculated from recipes and plate waste simultaneously over a 14–15-day period at baseline. The total energy intake (TEIDLW) was determined on the basis of DLW and weight changes during the DLW period. The weight was longitudinally tracked monthly for 12 months in the 28 residents who still lived at the facilities. OEI was higher than TEIDLW by a mean of 232 kcal/day (15.3%) among 46 residents at baseline. The longitudinal data of 28 residents showed that the energy gap tended to be correlated with the slope of weight change (ρ = 0.337, p = 0.080) and the median value was significantly lower in the weight loss group (152 kcal/day) than in the weight gain group (350 kcal/day) (p < 0.05). In conclusion, weight loss could occur at Japanese long-term care facilities even if the difference obtained by subtracting TEE from OEI was positive because OEI was overestimated by more than 200 kcal/day.
Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/9/2677/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12092677&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/9/2677/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12092677&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:MDPI AG Keiichi Yokoyama; Yosuke Yamada; Yasunori Akamatsu; Yasuko Yoshinaka; Akiko Yamamoto; Tomonori Koizumi; Kana Ohyama; Katsuya Suzuki; Masaki Hashimoto; Hitoshi Sato; Misaka Kimura;Sedentary/inactive lifestyle leads middle-aged and older adults to metabolic syndrome and frailty. Capsinoids from nonpungent chili pepper cultivar have been reported to reduce body fat mass, promote metabolism, and improve unidentified complaints of chills. Additionally, they have an anti-inflammation effect; therefore, we hypothesized that continuous oral ingestion of capsinoids alleviates age-related inflammation in the brain and improves the physical activity (PA) in middle-aged and older adults. In our double-blind human study, 69 participants (17 male, 52 female; mean age: 74.1 ± 7.7 years; range: 52–87 years) were administered either 9 mg of capsinoids which were extracted from pepper fruit variety CH-19 Sweet (Capsicum anuum L.) (CP group), or a placebo (PL group) daily over a 3 month period. In an animal study, PA and inflammation-related mRNA expression in the brain were examined in 5-week (young) and 53-week (old) aged mice fed a diet with or without 0.3% dihydrocapsiate, a type of capsinoids, for 12 weeks. In a human study, capsinoids intake did not increase the amount of light-to-moderate PA less than 6.0 metabolic equivalents (METs) (CP: 103.0 ± 28.2 at baseline to 108.2 ± 28.3 at 12 weeks; PL: 104.6 ± 19.8 at baseline to 115.2 ± 23.6 at 12 weeks, METs × hour/week); however, in participants exhibiting an inactive lifestyle, it showed significant increase (CP: 84.5 ± 17.2 at baseline to 99.2 ± 24.9 at 12 weeks; PL: 99.7 ± 23.3 at baseline to 103.8 ± 21.9 at 12 weeks). The energy expenditure in physical activity also improved in the inactive CP group (CP: 481.2 ± 96.3 at baseline to 562.5 ± 145.5 at 12 weeks; PL: 536.8 ± 112.2 at baseline to 598.6 ± 127.6 at 12 weeks; kcal/day). In all participants, CP showed reduced waist circumference, percent body fat, and visceral fat volume; in addition, chills were eased in subjects aged 80 years and older. The older mice fed capsinoids showed increased locomotion activity, decreased inflammation, and oxidative stress in the brain. The results suggest that the continuous oral ingestion of capsinoids gains PA through anti-inflammation effect in the brain as well as reduces fat accumulation and chills in inactive and older humans.
Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/1/212/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12010212&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/1/212/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Denmark, Norway, United Kingdom, United States, Finland, Norway, United States, United States, Norway, NetherlandsPublisher:Elsevier BV Funded by:NSF | Development and Implement..., NIH | Physiology, Psychology, a...NSF| Development and Implementation of a Global Human Metabolic Physiology Database ,NIH| Physiology, Psychology, and Genetics of ObesityLewis G. Halsey; Vincent Careau; Herman Pontzer; Philip N. Ainslie; Lene Frost Andersen; Liam Anderson; Lenore Arab; Issad Baddou; Kweku Bedu-Addo; Ellen E. Blaak; Stéphane Blanc; A. Bonomi; C.V.C. Bouten; Pascal Bovet; Maciej S. Buchowski; Nancy F. Butte; Stefan Gerardus Camps; Graeme L. Close; Jamie A. Cooper; Sai Krupa Das; Richard Cooper; Lara R. Dugas; Ulf Ekelund; Sonja Entringer; Terrence Forrester; Barry W. Fudge; Annelies H. C. Goris; Michael Gurven; Catherine Hambly; Asmaa El Hamdouchi; Marije B. Hoos; Sumei Hu; Noorjehan Joonas; Annemiek M.C.P. Joosen; Peter T. Katzmarzyk; Kitty P. Kempen; Misaka Kimura; William E. Kraus; Robert F. Kushner; Estelle V. Lambert; William R. Leonard; Nader Lessan; Corby K. Martin; Anine Christine Medin; Erwin P. Meijer; James C. Morehen; James P. Morton; Marian L. Neuhouser; Theresa A. Nicklas; Robert Ojiambo; Kirsi H. Pietiläinen; Yannis Pitsiladis; Jacob Plange‐Rhule; Guy Plasqui; Ross L. Prentice; Roberto Rabinovich; Susan B. Racette; David A. Raichlen; Éric Ravussin; Rebecca M. Reynolds; Susan B. Roberts; Albertine J. Schuit; Anders Sjödin; Eric Stice; Samuel S. Urlacher; Giulio Valenti; Ludo M. Van Etten; Edgar A. Van Mil; George Wilson; Brian M. Wood; Jack A. Yanovski; Tsukasa Yoshida; Xueying Zhang; Alexia J. Murphy‐Alford; Cornelia Loechl; Amy Luke; Jennifer Rood; Hiroyuki Sagayama; Dale A. Schoeller; Klaas R. Westerterp; William W. Wong; Yosuke Yamada; John R. Speakman;pmid: 36115145
pmc: PMC9791915
Chez les mammifères, la variation des traits est souvent plus importante chez les mâles que chez les femelles. Cependant, à ce jour, seuls les traits morphologiques ont été étudiés. La dépense énergétique représente les coûts métaboliques de multiples traits physiques, physiologiques et comportementaux. La dépense énergétique pourrait présenter une plus grande variation masculine particulièrement élevée par un effet cumulatif si ces traits présentent principalement une plus grande variation masculine, ou une absence de plus grande variation masculine si beaucoup d'entre eux ne le font pas. Les différences entre les sexes dans la variation de la dépense énergétique ont été peu explorées. Nous avons analysé une grande base de données sur la dépense énergétique chez les humains adultes (1494 mâles et 3108 femelles) pour déterminer si les humains ont évolué en fonction des différences entre les sexes dans le degré de variation interindividuelle de la dépense énergétique. Nous avons constaté que, même en comparant statistiquement les hommes et les femmes du même âge, de la même taille et de la même composition corporelle, il y a beaucoup plus de variation dans le total, l'activité et la dépense énergétique de base chez les hommes. Cependant, avec le vieillissement, la variation de la dépense énergétique totale diminue, et parce que cela se produit plus rapidement chez les hommes, l'ampleur de la plus grande variation chez les hommes, bien que toujours importante, est atténuée dans les groupes d'âge plus âgés. Une variation considérablement plus grande des dépenses énergétiques totales et d'activité chez les hommes pourrait s'expliquer par une plus grande variation des niveaux d'activité quotidienne chez les hommes. La variation considérablement plus grande de la dépense énergétique basale chez les hommes est remarquable et peut s'expliquer, au moins en partie, par une plus grande variation chez les hommes de la taille des organes énergivores. Si la dépense énergétique est un trait qui intéresse indirectement les femmes lors du choix d'un partenaire sexuel, cela suggère que la dépense énergétique est soumise à la sélection sexuelle. Cependant, nous présentons un nouveau modèle énergétique démontrant qu'il est également possible que les femelles aient subi une pression de sélection stabilisatrice pour une dépense énergétique de base intermédiaire afin de maximiser l'énergie disponible pour la reproduction. En los mamíferos, a menudo se informa que la variación del rasgo es mayor entre los machos que entre las hembras. Sin embargo, hasta la fecha, principalmente solo se han estudiado rasgos morfológicos. El gasto de energía representa los costos metabólicos de múltiples rasgos físicos, fisiológicos y de comportamiento. El gasto de energía podría exhibir una variación masculina particularmente alta a través de un efecto acumulativo si esos rasgos exhiben en su mayoría una mayor variación masculina, o una falta de mayor variación masculina si muchos de ellos no lo hacen. Las diferencias de sexo en la variación del gasto energético se han explorado poco. Analizamos una gran base de datos sobre el gasto de energía en humanos adultos (1494 hombres y 3108 mujeres) para investigar si los humanos han evolucionado las diferencias sexuales en el grado de variación interindividual en el gasto de energía. Encontramos que, incluso cuando se comparan estadísticamente hombres y mujeres de la misma edad, altura y composición corporal, hay mucha más variación en el total, la actividad y el gasto energético basal entre los hombres. Sin embargo, con el envejecimiento, la variación en el gasto total de energía disminuye, y debido a que esto sucede más rápidamente en los hombres, la magnitud de una mayor variación masculina, aunque sigue siendo grande, se atenúa en los grupos de mayor edad. Una variación masculina considerablemente mayor tanto en el gasto energético total como en la actividad podría explicarse por una mayor variación masculina en los niveles de actividad diaria. La variación masculina considerablemente mayor en el gasto de energía basal es notable y puede explicarse, al menos en parte, por una mayor variación masculina en el tamaño de los órganos que demandan energía. Si el gasto de energía es un rasgo que es de interés indirecto para las mujeres al elegir una pareja sexual, esto sugeriría que el gasto de energía está bajo selección sexual. Sin embargo, presentamos un nuevo modelo energético que demuestra que también es posible que las hembras hayan estado bajo una presión de selección estabilizadora para un gasto energético basal intermedio para maximizar la energía disponible para la reproducción. In mammals, trait variation is often reported to be greater among males than females. However, to date, mainly only morphological traits have been studied. Energy expenditure represents the metabolic costs of multiple physical, physiological, and behavioral traits. Energy expenditure could exhibit particularly high greater male variation through a cumulative effect if those traits mostly exhibit greater male variation, or a lack of greater male variation if many of them do not. Sex differences in energy expenditure variation have been little explored. We analyzed a large database on energy expenditure in adult humans (1494 males and 3108 females) to investigate whether humans have evolved sex differences in the degree of interindividual variation in energy expenditure. We found that, even when statistically comparing males and females of the same age, height, and body composition, there is much more variation in total, activity, and basal energy expenditure among males. However, with aging, variation in total energy expenditure decreases, and because this happens more rapidly in males, the magnitude of greater male variation, though still large, is attenuated in older age groups. Considerably greater male variation in both total and activity energy expenditure could be explained by greater male variation in levels of daily activity. The considerably greater male variation in basal energy expenditure is remarkable and may be explained, at least in part, by greater male variation in the size of energy-demanding organs. If energy expenditure is a trait that is of indirect interest to females when choosing a sexual partner, this would suggest that energy expenditure is under sexual selection. However, we present a novel energetics model demonstrating that it is also possible that females have been under stabilizing selection pressure for an intermediate basal energy expenditure to maximize energy available for reproduction. في الثدييات، غالبًا ما يتم الإبلاغ عن تباين السمات بين الذكور أكثر من الإناث. ومع ذلك، حتى الآن، تمت دراسة السمات المورفولوجية فقط. يمثل إنفاق الطاقة التكاليف الأيضية للسمات الفيزيائية والفسيولوجية والسلوكية المتعددة. يمكن أن يُظهر الإنفاق على الطاقة تباينًا أكبر بين الذكور بشكل خاص من خلال تأثير تراكمي إذا كانت هذه السمات تُظهر في الغالب تباينًا أكبر بين الذكور، أو عدم وجود تباين أكبر بين الذكور إذا لم يفعل الكثير منهم ذلك. لم يتم استكشاف الاختلافات بين الجنسين في تباين إنفاق الطاقة إلا قليلاً. قمنا بتحليل قاعدة بيانات كبيرة حول إنفاق الطاقة لدى البشر البالغين (1494 من الذكور و 3108 من الإناث) للتحقيق فيما إذا كان البشر قد طوروا اختلافات بين الجنسين في درجة التباين بين الأفراد في إنفاق الطاقة. وجدنا أنه حتى عند المقارنة الإحصائية بين الذكور والإناث من نفس العمر والطول وتكوين الجسم، هناك تباين أكبر بكثير في إجمالي الإنفاق على الطاقة والنشاط والطاقة القاعدية بين الذكور. ومع ذلك، مع التقدم في السن، ينخفض التباين في إجمالي إنفاق الطاقة، ولأن هذا يحدث بسرعة أكبر لدى الذكور، فإن حجم التباين الأكبر للذكور، على الرغم من أنه لا يزال كبيرًا، يتم تخفيفه في الفئات العمرية الأكبر سنًا. يمكن تفسير التباين الأكبر للذكور في كل من إجمالي إنفاق الطاقة والنشاط من خلال التباين الأكبر للذكور في مستويات النشاط اليومي. يعد التباين الأكبر للذكور في إنفاق الطاقة القاعدية أمرًا ملحوظًا ويمكن تفسيره، جزئيًا على الأقل، بالتباين الأكبر للذكور في حجم الأعضاء التي تتطلب الطاقة. إذا كان إنفاق الطاقة سمة ذات أهمية غير مباشرة للإناث عند اختيار شريك جنسي، فإن هذا يشير إلى أن إنفاق الطاقة يخضع للانتقاء الجنسي. ومع ذلك، نقدم نموذجًا جديدًا للطاقة يوضح أنه من الممكن أيضًا أن تكون الإناث تحت ضغط اختيار مستقر لإنفاق طاقة قاعدية وسيطة لزيادة الطاقة المتاحة للتكاثر.
Universitet i Oslo: ... arrow_drop_down Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BYFull-Text: http://hdl.handle.net/10852/97801Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2022License: CC BYFull-Text: https://escholarship.org/uc/item/94d6d9qnData sources: Bielefeld Academic Search Engine (BASE)Aberdeen University Research Archive (AURA)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/2164/20666Data sources: Bielefeld Academic Search Engine (BASE)Journal of Human EvolutionArticle . 2022License: CC BYData sources: Eindhoven University of Technology Research PortalHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaUniversity of Copenhagen: ResearchArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Journal of Human EvolutionArticle . 2022License: CC BYData sources: Tilburg University Research PortalJournal of Human EvolutionArticle . 2022License: CC BYData sources: Maastricht University | MUMC+ Research InformationAberdeen University Research Archive (AURA)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Washington University School of Medicine: Digital Commons@BeckerArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jhevol.2022.103229&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Universitet i Oslo: ... arrow_drop_down Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BYFull-Text: http://hdl.handle.net/10852/97801Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2022License: CC BYFull-Text: https://escholarship.org/uc/item/94d6d9qnData sources: Bielefeld Academic Search Engine (BASE)Aberdeen University Research Archive (AURA)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/2164/20666Data sources: Bielefeld Academic Search Engine (BASE)Journal of Human EvolutionArticle . 2022License: CC BYData sources: Eindhoven University of Technology Research PortalHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaUniversity of Copenhagen: ResearchArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Journal of Human EvolutionArticle . 2022License: CC BYData sources: Tilburg University Research PortalJournal of Human EvolutionArticle . 2022License: CC BYData sources: Maastricht University | MUMC+ Research InformationAberdeen University Research Archive (AURA)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Washington University School of Medicine: Digital Commons@BeckerArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:MDPI AG Yoshiko Aoki; Yoshiko Aoki; Yosuke Yamada; Kaori Fujisawa; Yasuki Higaki; Makoto Nishimura; Hiroyuki Sagayama; Misaka Kimura; Aya Itoi;Adequate energy intake is essential for the healthy development of children, and the estimated energy requirement of children is determined by total daily energy expenditure (TDEE) and energy deposition for growth. A previous study in Japanese tweens indicated that TDEE could be estimated by fat-free mass (FFM) and step count. The aims of this study were to measure TDEE in Japanese preschool children and to confirm whether TDEE can be estimated by FFM and step count in preschool children. Twenty-one children aged 4–6 years old (11 girls and 10 boys; age, 5.1 (0.9) years; height, 107.2 (6.6) cm; weight, 17.5 (1.7) kg; BMI, 15.3 (1.3); mean (SD)) participated in this study. FFM and 7-day TDEE were obtained by doubly labeled water (DLW). Participants wore accelerometers during the DLW measurement period. No significant differences were observed in age-adjusted height, weight, BMI, FFM (13.0 (1.5) kg), or TDEE (1300 (174) kcal/day) between girls and boys. Girls had significantly higher percent fat and a lower daily step count than boys. Stepwise regression analysis revealed that FFM and step count were significant predictors of TDEE; TDEE (kcal/day) = 85.0 × FFM (kg) + 0.0135 × step count (steps/day). This accounted for 74% of TDEE variance. The current study confirmed that FFM and step count are major determinants of TDEE in Japanese preschool children as well as adolescents, although further research is needed to obtain precise equations.
Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/5/1223/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12051223&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/5/1223/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12051223&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 JapanPublisher:Elsevier BV Itsuko Miyazawa; Katsutaro Morino; Keiko Fuse; Keiko Kondo; Akiko Ohi; Kaori Nishida; Mika Kurihara; Shoko Yasuhara; Naoko Nakanishi; Yuki Nishida; Satoshi Nakae; Yosuke Yamada; Shigeho Tanaka; Naoyuki Ebine; Satoshi Sasaki; Fuminori Katsukawa; Masaya Sasaki; Satoshi Ugi; Hiroshi Maegawa;Although accurate assessment of energy intake (EI) is critical in diabetes care, underreporting of EI on dietary records (DR) is often an issue. However, few studies have examined EI with doubly labeled water (DLW) in patients with diabetes mellitus. We aimed to investigate the impact of sex and obesity on the dissociation of DR from total energy expenditure (TEE) evaluated with DLW in patients with type 2 diabetes.Fifty-two patients with type 2 diabetes aged 60-79 years were enrolled for the Clinical Evaluation of Energy Requirements in Patients with Diabetes Mellitus (CLEVER-DM) study at a single university hospital. TEE was measured over 14 days by the DLW method as standard. EI was calculated by assessment of 3-day DR by registered dietitians.The mean difference between EI and TEE was 238 ± 412 kcal/day (~10% of TEE). Neither EI nor TEE was significantly different between obese (body mass index (BMI) ≥25 kg/m2) and non-obese (BMI <25 kg/m2) patients. There was a negative correlation between EI/TEE ratio and BMI in women (R = -0.437, P = 0.033) but not in men (R = -0.174, P = 0.377). There was a significant difference in EI/TEE ratio between obese and non-obese patients among women (0.85 ± 0.15 vs. 1.01 ± 0.21, P = 0.045) but not men (0.85 ± 0.20 vs. 0.87 ± 0.17, P = 0.79).EI calculated by 3-day DR may underestimate habitual intake, which is assumed to be equal to TEE measured by the DLW method except in non-obese women with diabetes.UMIN000023051.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.clnesp.2020.07.001&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.clnesp.2020.07.001&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:MDPI AG Yosuke Yamada; Yosuke Yamada; Tsukasa Yoshida; Yuya Watanabe; Yuya Watanabe; Chiho Goto; Yasuki Higaki; Naoyuki Ebine; Hiroyuki Sagayama; Miwa Yamaguchi; Misaka Kimura; Misaka Kimura; Daiki Watanabe; Hinako Nanri; Keiichi Yokoyama; Keiichi Yokoyama; Aya Itoi; Kazuko Ishikawa-Takata;Accurate assessments of a target population’s energy intake (EI) are essential to prevent poor nutritional status. However, self-reported dietary records (DRs) or food frequency questionnaires (FFQs) are not always accurate, thereby requiring validation and calibration studies. This study aimed to validate the EI estimated by a FFQ using the doubly labeled water (DLW) method. Participants were 109 Japanese older adults (50 women and 59 men) aged 65–88 years. The EI was obtained by a DR and 47-item FFQ over 1 year. The total energy expenditure (TEE) was measured by DLW for ~2 weeks. EI was significantly lower than TEE (p < 0.01); ratios of EI assessed by DR and FFQ against TEE were 0.91 ± 0.17 and 0.82 ± 0.22, respectively. TEE was significantly and moderately correlated with the EI estimated by the DR (r = 0.45, p < 0.01) and FFQ (r = 0.37, p < 0.01). Furthermore, the EI correlation coefficients estimated by DR and the FFQ in this study were not significantly different (p = 0.46). The EI/TEE ratio was significantly and negatively correlated with the body mass index (BMI). In conclusion, EI estimated with a DR or FFQ modestly correlated with TEE, and calibrating EI with a developed equation in this study can attenuate the underestimation of EI.
Nutrients arrow_drop_down NutrientsOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2072-6643/11/7/1546/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu11071546&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/2072-6643/11/7/1546/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu11071546&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2018Publisher:MDPI AG Emi Kondo; Hiroyuki Sagayama; Yosuke Yamada; Keisuke Shiose; Takuya Osawa; Keiko Motonaga; Shiori Ouchi; Akiko Kamei; Kohei Nakajima; Yasuki Higaki; Hiroaki Tanaka; Hideyuki Takahashi; Koji Okamura;To determine energy density for rapid weight loss (RWL) of weight-classified sports, eight male elite wrestlers were instructed to lose 6% of body mass (BM) within 53 h. Energy deficit during the RWL was calculated by subtracting total energy expenditure (TEE) determined using the doubly labeled water method (DLW) from energy intake (EI) assessed with diet records. It was also estimated from body composition change estimated with the four-component model (4C) and other conventional methods. BM decreased significantly by 4.7 ± 0.5 kg (6.4 ± 0.5%). Total body water loss was the major component of the BM loss (71.0 ± 7.6%). TEE was 9446 ± 1422 kcal, and EI was 2366 ± 1184 kcal during the RWL of 53-h; therefore, the energy deficit was 7080 ± 1525 kcal. Thus, energy density was 1507 ± 279 kcal/kg ∆BM during the RWL, comparable with values obtained using the 4C, three-component model, dual energy X-ray absorptiometry, and stable isotope dilution. Energy density for RWL of wrestlers is lower than that commonly used (7400 or 7700 kcal/kg ΔBM). Although RWL is not recommended, we propose that commonly practiced extreme energy restriction such as 7400 or 7700 kcal/kg ΔBM during RWL appears to be meaningless.
Nutrients arrow_drop_down NutrientsOther literature type . 2018License: CC BYFull-Text: http://www.mdpi.com/2072-6643/10/5/536/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu10050536&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2018License: CC BYFull-Text: http://www.mdpi.com/2072-6643/10/5/536/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu10050536&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Jun Yasukata; Yosuke Yamada; Hiroyuki Sagayama; Yasuki Higaki; Hiroaki Tanaka;The doubly labeled water method is a gold-standard method for the measurement of total energy expenditure in daily life. We aimed to identify the relationship between measured aerobic capacity and total energy expenditure, activity energy expenditure, or physical activity level using the doubly labeled water method in adults of advanced old age. A total of 12 physically independent older adults (10 men and 2 women), aged 81–94 years, participated in this study. The aerobic capacity was evaluated according to the lactate threshold. Total energy expenditure under free-living conditions was assessed using the doubly labeled water method, and self-reported physical activity was obtained using the Japanese version of the International Physical Activity Questionnaire. The lactate threshold was significantly positively correlated with total energy expenditure, activity energy expenditure, and physical activity level after adjusting for age and sex. We found that the aerobic capacity of the lactate threshold was positively and independently correlated with total energy expenditure, activity energy expenditure, or physical activity level. The present results suggest that maintaining aerobic capacity is an important factor in preventing frailty, although further research is required.
Geriatrics arrow_drop_down GeriatricsOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2308-3417/7/2/48/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/geriatrics7020048&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert Geriatrics arrow_drop_down GeriatricsOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2308-3417/7/2/48/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/geriatrics7020048&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019Publisher:MDPI AG Yosuke Yamada; Hisashi Naito; Takashi Nakagata; Yoichi Hatamoto; Yoichi Hatamoto;Background and objectives: The purpose of this study was to compare the energy expenditures (EE) of a single sit-to-stand (STS) movements with slow and normal speeds using a multi-stage exercise test. Materials and Methods: Twelve young males, aged 21–27 years (age, 23.0 ± 1.7 years; height, 171.2 ± 6.1 cm; weight, 64.3 ± 5.6 kg), performed repeated 3-s stand-up and 3-s sit-down (slow) or 1-s stand-up and 1-s sit-down (normal) movement on two different days with random order. All the participants completed multi-stage tests at different STS frequencies per minute. The slope and intercept of the linear regression relationship between the EE (kcal/min) and the STS frequency were obtained, and the slope of the regression was quantified as the EE of an STS. Results: The metabolic equivalents (METs) of the STS-slow was 4.5 METs for the frequency of 10 times/min (in total 1 min), and the net EE was 5.00 ± 1.2 kcal/min. The net EE of the STS-slow was 0.37 ± 0.12 kcal, which was significantly greater than that during the STS-normal (0.26 ± 0.06 kcal). The difference between the EEs of the STS-slow and STS-normal was significantly greater in taller and heavier subjects. Conclusions: We concluded that the intensity of STS-slow movement is moderate, and the EE during an STS-slow (0.37 ± 0.12 kcal) is higher than that during an STS-normal (0.26 ± 0.06 kcal). Our study results will help exercise and/or health professionals prescribe physical activity programs using STS movement for healthy young population groups.
Medicina arrow_drop_down MedicinaOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1648-9144/55/3/77/pdfData sources: Multidisciplinary Digital Publishing InstituteMedicinaOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1010-660X/55/3/77/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/medicina55030077&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Medicina arrow_drop_down MedicinaOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1648-9144/55/3/77/pdfData sources: Multidisciplinary Digital Publishing InstituteMedicinaOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1010-660X/55/3/77/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/medicina55030077&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 Norway, Norway, Netherlands, Netherlands, Netherlands, Netherlands, United States, Netherlands, France, United Kingdom, United States, United States, Norway, Netherlands, United Kingdom, DenmarkPublisher:Elsevier BV Funded by:NSF | Development and Implement...NSF| Development and Implementation of a Global Human Metabolic Physiology DatabaseWesterterp, Klaas; Yamada, Yosuke; Sagayama, Hiroyuki; Ainslie, Philip; Andersen, Lene; Anderson, Liam; Arab, Lenore; Baddou, Issaad; Bedu-Addo, Kweku; Blaak, Ellen; Blanc, Stephane; Bonomi, Alberto; Bouten, Carlijn; Bovet, Pascal; Buchowski, Maciej; Butte, Nancy; Camps, Stefan; Close, Graeme; Cooper, Jamie; Das, Sai; Cooper, Richard; Dugas, Lara; Ekelund, Ulf; Entringer, Sonja; Forrester, Terrence; Fudge, Barry; Goris, Annelies; Gurven, Michael; Hambly, Catherine; El hamdouchi, Asmaa; Hoos, Marije; Hu, Sumei; Joonas, Noorjehan; Joosen, Annemiek; Katzmarzyk, Peter; Kempen, Kitty; Kimura, Misaka; Kraus, William; Kushner, Robert; Lambert, Estelle; Leonard, William; Lessan, Nader; Martin, Corby; Medin, Anine; Meijer, Erwin; Morehen, James; Morton, James; Neuhouser, Marian; Nicklas, Theresa; Ojiambo, Robert; Pietiläinen, Kirsi; Pitsiladis, Yannis; Plange-Rhule, Jacob; Plasqui, Guy; Prentice, Ross; Rabinovich, Roberto; Racette, Susan; Raichlen, David; Ravussin, Eric; Reynolds, Rebecca; Roberts, Susan; Schuit, Albertine; Sjödin, Anders; Stice, Eric; Urlacher, Samuel; Valenti, Giulio; Van etten, Ludo; Van mil, Edgar; Wells, Jonathan; Wilson, George; Wood, Brian; Yanovski, Jack; Yoshida, Tsukasa; Zhang, Xueying; Murphy-Alford, Alexia; Loechl, Cornelia; Luke, Amy; Pontzer, Herman; Rood, Jennifer; Schoeller, Dale; Wong, William; Speakman, John; Branth, Stefan; Colbert, Lisa; de Bruin, Niels; Dutman, Alice; Elmståhl, Sölve; Fogelholm, Mikael; Harris, Tamara; Heijligenberg, Rik; Jorgensen, Hans; Larsson, Christel; Rothenberg, Elisabet; Mccloskey, Margaret; Meijer, Gerwin; Pannemans, Daphne; Schulz, Sabine; van den Berg-Emons, Rita; van Gemert, Wim; Wilhelmine, W; Verboeket-van De, Venne; Verbunt, Jeanine; Philippaerts, Renaat; Subar, Amy; Tanskanen, Minna; Uauy, Ricardo; Velthuis-Te Wierik, Erica;Physical activity may be a way to increase and maintain fat-free mass (FFM) in later life, similar to the prevention of fractures by increasing peak bone mass.A study is presented of the association between FFM and physical activity in relation to age.In a cross-sectional study, FFM was analyzed in relation to physical activity in a large participant group as compiled in the International Atomic Energy Agency Doubly Labeled Water database. The database included 2000 participants, age 3-96 y, with measurements of total energy expenditure (TEE) and resting energy expenditure (REE) to allow calculation of physical activity level (PAL = TEE/REE), and calculation of FFM from isotope dilution.PAL was a main determinant of body composition at all ages. Models with age, fat mass (FM), and PAL explained 76% and 85% of the variation in FFM in females and males < 18 y old, and 32% and 47% of the variation in FFM in females and males ≥ 18 y old, respectively. In participants < 18 y old, mean FM-adjusted FFM was 1.7 kg (95% CI: 0.1, 3.2 kg) and 3.4 kg (95% CI: 1.0, 5.6 kg) higher in a very active participant with PAL = 2.0 than in a sedentary participant with PAL = 1.5, for females and males, respectively. At age 18 y, height and FM-adjusted FFM was 3.6 kg (95% CI: 2.8, 4.4 kg) and 4.4 kg (95% CI: 3.2, 5.7 kg) higher, and at age 80 y 0.7 kg (95% CI: -0.2, 1.7 kg) and 1.0 kg (95% CI: -0.1, 2.1 kg) higher, in a participant with PAL = 2.0 than in a participant with PAL = 1.5, for females and males, respectively.If these associations are causal, they suggest physical activity is a major determinant of body composition as reflected in peak FFM, and that a physically active lifestyle can only partly protect against loss of FFM in aging adults.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/1b42380zData sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BYFull-Text: http://hdl.handle.net/10852/90462Data sources: Bielefeld Academic Search Engine (BASE)Aberdeen University Research Archive (AURA)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/2164/21305Data sources: Bielefeld Academic Search Engine (BASE)American Journal of Clinical NutritionArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefAmerican Journal of Clinical NutritionArticle . 2021Data sources: Eindhoven University of Technology Research PortalAmerican Journal of Clinical NutritionArticle . 2021License: CC BYData sources: Tilburg University Research PortalServeur académique lausannoisArticle . 2021License: CC BYData sources: Serveur académique lausannoisCopenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)American Journal of Clinical NutritionArticle . 2021License: CC BYData sources: Maastricht University | MUMC+ Research InformationAberdeen University Research Archive (AURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Washington University School of Medicine: Digital Commons@BeckerArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/ajcn/nqab260&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/1b42380zData sources: Bielefeld Academic Search Engine (BASE)Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BYFull-Text: http://hdl.handle.net/10852/90462Data sources: Bielefeld Academic Search Engine (BASE)Aberdeen University Research Archive (AURA)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/2164/21305Data sources: Bielefeld Academic Search Engine (BASE)American Journal of Clinical NutritionArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefAmerican Journal of Clinical NutritionArticle . 2021Data sources: Eindhoven University of Technology Research PortalAmerican Journal of Clinical NutritionArticle . 2021License: CC BYData sources: Tilburg University Research PortalServeur académique lausannoisArticle . 2021License: CC BYData sources: Serveur académique lausannoisCopenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaUniversity of Copenhagen: ResearchArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)American Journal of Clinical NutritionArticle . 2021License: CC BYData sources: Maastricht University | MUMC+ Research InformationAberdeen University Research Archive (AURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Washington University School of Medicine: Digital Commons@BeckerArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/ajcn/nqab260&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:MDPI AG Yuki Nishida; Shigeho Tanaka; Satoshi Nakae; Yosuke Yamada; Hiroyuki Shirato; Hirohiko Hirano; Satoshi Sasaki; Fuminori Katsukawa;Unintentional weight loss is a major frailty component; thus, assessing energy imbalance is essential for institutionalized elderly residents. This study examined prediction errors of the observed energy intake (OEI) against the actual energy intake obtained from the doubly labeled water (DLW) method and clarified the relationship between the energy gap obtained by subtracting total energy expenditure (TEE) from OEI and subsequent weight changes in elderly residents in long-term care facilities. Overall, 46 participants were recruited in Japan. TEE was measured using the DLW method, and OEI was calculated from recipes and plate waste simultaneously over a 14–15-day period at baseline. The total energy intake (TEIDLW) was determined on the basis of DLW and weight changes during the DLW period. The weight was longitudinally tracked monthly for 12 months in the 28 residents who still lived at the facilities. OEI was higher than TEIDLW by a mean of 232 kcal/day (15.3%) among 46 residents at baseline. The longitudinal data of 28 residents showed that the energy gap tended to be correlated with the slope of weight change (ρ = 0.337, p = 0.080) and the median value was significantly lower in the weight loss group (152 kcal/day) than in the weight gain group (350 kcal/day) (p < 0.05). In conclusion, weight loss could occur at Japanese long-term care facilities even if the difference obtained by subtracting TEE from OEI was positive because OEI was overestimated by more than 200 kcal/day.
Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/9/2677/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12092677&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/9/2677/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12092677&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:MDPI AG Keiichi Yokoyama; Yosuke Yamada; Yasunori Akamatsu; Yasuko Yoshinaka; Akiko Yamamoto; Tomonori Koizumi; Kana Ohyama; Katsuya Suzuki; Masaki Hashimoto; Hitoshi Sato; Misaka Kimura;Sedentary/inactive lifestyle leads middle-aged and older adults to metabolic syndrome and frailty. Capsinoids from nonpungent chili pepper cultivar have been reported to reduce body fat mass, promote metabolism, and improve unidentified complaints of chills. Additionally, they have an anti-inflammation effect; therefore, we hypothesized that continuous oral ingestion of capsinoids alleviates age-related inflammation in the brain and improves the physical activity (PA) in middle-aged and older adults. In our double-blind human study, 69 participants (17 male, 52 female; mean age: 74.1 ± 7.7 years; range: 52–87 years) were administered either 9 mg of capsinoids which were extracted from pepper fruit variety CH-19 Sweet (Capsicum anuum L.) (CP group), or a placebo (PL group) daily over a 3 month period. In an animal study, PA and inflammation-related mRNA expression in the brain were examined in 5-week (young) and 53-week (old) aged mice fed a diet with or without 0.3% dihydrocapsiate, a type of capsinoids, for 12 weeks. In a human study, capsinoids intake did not increase the amount of light-to-moderate PA less than 6.0 metabolic equivalents (METs) (CP: 103.0 ± 28.2 at baseline to 108.2 ± 28.3 at 12 weeks; PL: 104.6 ± 19.8 at baseline to 115.2 ± 23.6 at 12 weeks, METs × hour/week); however, in participants exhibiting an inactive lifestyle, it showed significant increase (CP: 84.5 ± 17.2 at baseline to 99.2 ± 24.9 at 12 weeks; PL: 99.7 ± 23.3 at baseline to 103.8 ± 21.9 at 12 weeks). The energy expenditure in physical activity also improved in the inactive CP group (CP: 481.2 ± 96.3 at baseline to 562.5 ± 145.5 at 12 weeks; PL: 536.8 ± 112.2 at baseline to 598.6 ± 127.6 at 12 weeks; kcal/day). In all participants, CP showed reduced waist circumference, percent body fat, and visceral fat volume; in addition, chills were eased in subjects aged 80 years and older. The older mice fed capsinoids showed increased locomotion activity, decreased inflammation, and oxidative stress in the brain. The results suggest that the continuous oral ingestion of capsinoids gains PA through anti-inflammation effect in the brain as well as reduces fat accumulation and chills in inactive and older humans.
Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/1/212/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12010212&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/1/212/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12010212&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Denmark, Norway, United Kingdom, United States, Finland, Norway, United States, United States, Norway, NetherlandsPublisher:Elsevier BV Funded by:NSF | Development and Implement..., NIH | Physiology, Psychology, a...NSF| Development and Implementation of a Global Human Metabolic Physiology Database ,NIH| Physiology, Psychology, and Genetics of ObesityLewis G. Halsey; Vincent Careau; Herman Pontzer; Philip N. Ainslie; Lene Frost Andersen; Liam Anderson; Lenore Arab; Issad Baddou; Kweku Bedu-Addo; Ellen E. Blaak; Stéphane Blanc; A. Bonomi; C.V.C. Bouten; Pascal Bovet; Maciej S. Buchowski; Nancy F. Butte; Stefan Gerardus Camps; Graeme L. Close; Jamie A. Cooper; Sai Krupa Das; Richard Cooper; Lara R. Dugas; Ulf Ekelund; Sonja Entringer; Terrence Forrester; Barry W. Fudge; Annelies H. C. Goris; Michael Gurven; Catherine Hambly; Asmaa El Hamdouchi; Marije B. Hoos; Sumei Hu; Noorjehan Joonas; Annemiek M.C.P. Joosen; Peter T. Katzmarzyk; Kitty P. Kempen; Misaka Kimura; William E. Kraus; Robert F. Kushner; Estelle V. Lambert; William R. Leonard; Nader Lessan; Corby K. Martin; Anine Christine Medin; Erwin P. Meijer; James C. Morehen; James P. Morton; Marian L. Neuhouser; Theresa A. Nicklas; Robert Ojiambo; Kirsi H. Pietiläinen; Yannis Pitsiladis; Jacob Plange‐Rhule; Guy Plasqui; Ross L. Prentice; Roberto Rabinovich; Susan B. Racette; David A. Raichlen; Éric Ravussin; Rebecca M. Reynolds; Susan B. Roberts; Albertine J. Schuit; Anders Sjödin; Eric Stice; Samuel S. Urlacher; Giulio Valenti; Ludo M. Van Etten; Edgar A. Van Mil; George Wilson; Brian M. Wood; Jack A. Yanovski; Tsukasa Yoshida; Xueying Zhang; Alexia J. Murphy‐Alford; Cornelia Loechl; Amy Luke; Jennifer Rood; Hiroyuki Sagayama; Dale A. Schoeller; Klaas R. Westerterp; William W. Wong; Yosuke Yamada; John R. Speakman;pmid: 36115145
pmc: PMC9791915
Chez les mammifères, la variation des traits est souvent plus importante chez les mâles que chez les femelles. Cependant, à ce jour, seuls les traits morphologiques ont été étudiés. La dépense énergétique représente les coûts métaboliques de multiples traits physiques, physiologiques et comportementaux. La dépense énergétique pourrait présenter une plus grande variation masculine particulièrement élevée par un effet cumulatif si ces traits présentent principalement une plus grande variation masculine, ou une absence de plus grande variation masculine si beaucoup d'entre eux ne le font pas. Les différences entre les sexes dans la variation de la dépense énergétique ont été peu explorées. Nous avons analysé une grande base de données sur la dépense énergétique chez les humains adultes (1494 mâles et 3108 femelles) pour déterminer si les humains ont évolué en fonction des différences entre les sexes dans le degré de variation interindividuelle de la dépense énergétique. Nous avons constaté que, même en comparant statistiquement les hommes et les femmes du même âge, de la même taille et de la même composition corporelle, il y a beaucoup plus de variation dans le total, l'activité et la dépense énergétique de base chez les hommes. Cependant, avec le vieillissement, la variation de la dépense énergétique totale diminue, et parce que cela se produit plus rapidement chez les hommes, l'ampleur de la plus grande variation chez les hommes, bien que toujours importante, est atténuée dans les groupes d'âge plus âgés. Une variation considérablement plus grande des dépenses énergétiques totales et d'activité chez les hommes pourrait s'expliquer par une plus grande variation des niveaux d'activité quotidienne chez les hommes. La variation considérablement plus grande de la dépense énergétique basale chez les hommes est remarquable et peut s'expliquer, au moins en partie, par une plus grande variation chez les hommes de la taille des organes énergivores. Si la dépense énergétique est un trait qui intéresse indirectement les femmes lors du choix d'un partenaire sexuel, cela suggère que la dépense énergétique est soumise à la sélection sexuelle. Cependant, nous présentons un nouveau modèle énergétique démontrant qu'il est également possible que les femelles aient subi une pression de sélection stabilisatrice pour une dépense énergétique de base intermédiaire afin de maximiser l'énergie disponible pour la reproduction. En los mamíferos, a menudo se informa que la variación del rasgo es mayor entre los machos que entre las hembras. Sin embargo, hasta la fecha, principalmente solo se han estudiado rasgos morfológicos. El gasto de energía representa los costos metabólicos de múltiples rasgos físicos, fisiológicos y de comportamiento. El gasto de energía podría exhibir una variación masculina particularmente alta a través de un efecto acumulativo si esos rasgos exhiben en su mayoría una mayor variación masculina, o una falta de mayor variación masculina si muchos de ellos no lo hacen. Las diferencias de sexo en la variación del gasto energético se han explorado poco. Analizamos una gran base de datos sobre el gasto de energía en humanos adultos (1494 hombres y 3108 mujeres) para investigar si los humanos han evolucionado las diferencias sexuales en el grado de variación interindividual en el gasto de energía. Encontramos que, incluso cuando se comparan estadísticamente hombres y mujeres de la misma edad, altura y composición corporal, hay mucha más variación en el total, la actividad y el gasto energético basal entre los hombres. Sin embargo, con el envejecimiento, la variación en el gasto total de energía disminuye, y debido a que esto sucede más rápidamente en los hombres, la magnitud de una mayor variación masculina, aunque sigue siendo grande, se atenúa en los grupos de mayor edad. Una variación masculina considerablemente mayor tanto en el gasto energético total como en la actividad podría explicarse por una mayor variación masculina en los niveles de actividad diaria. La variación masculina considerablemente mayor en el gasto de energía basal es notable y puede explicarse, al menos en parte, por una mayor variación masculina en el tamaño de los órganos que demandan energía. Si el gasto de energía es un rasgo que es de interés indirecto para las mujeres al elegir una pareja sexual, esto sugeriría que el gasto de energía está bajo selección sexual. Sin embargo, presentamos un nuevo modelo energético que demuestra que también es posible que las hembras hayan estado bajo una presión de selección estabilizadora para un gasto energético basal intermedio para maximizar la energía disponible para la reproducción. In mammals, trait variation is often reported to be greater among males than females. However, to date, mainly only morphological traits have been studied. Energy expenditure represents the metabolic costs of multiple physical, physiological, and behavioral traits. Energy expenditure could exhibit particularly high greater male variation through a cumulative effect if those traits mostly exhibit greater male variation, or a lack of greater male variation if many of them do not. Sex differences in energy expenditure variation have been little explored. We analyzed a large database on energy expenditure in adult humans (1494 males and 3108 females) to investigate whether humans have evolved sex differences in the degree of interindividual variation in energy expenditure. We found that, even when statistically comparing males and females of the same age, height, and body composition, there is much more variation in total, activity, and basal energy expenditure among males. However, with aging, variation in total energy expenditure decreases, and because this happens more rapidly in males, the magnitude of greater male variation, though still large, is attenuated in older age groups. Considerably greater male variation in both total and activity energy expenditure could be explained by greater male variation in levels of daily activity. The considerably greater male variation in basal energy expenditure is remarkable and may be explained, at least in part, by greater male variation in the size of energy-demanding organs. If energy expenditure is a trait that is of indirect interest to females when choosing a sexual partner, this would suggest that energy expenditure is under sexual selection. However, we present a novel energetics model demonstrating that it is also possible that females have been under stabilizing selection pressure for an intermediate basal energy expenditure to maximize energy available for reproduction. في الثدييات، غالبًا ما يتم الإبلاغ عن تباين السمات بين الذكور أكثر من الإناث. ومع ذلك، حتى الآن، تمت دراسة السمات المورفولوجية فقط. يمثل إنفاق الطاقة التكاليف الأيضية للسمات الفيزيائية والفسيولوجية والسلوكية المتعددة. يمكن أن يُظهر الإنفاق على الطاقة تباينًا أكبر بين الذكور بشكل خاص من خلال تأثير تراكمي إذا كانت هذه السمات تُظهر في الغالب تباينًا أكبر بين الذكور، أو عدم وجود تباين أكبر بين الذكور إذا لم يفعل الكثير منهم ذلك. لم يتم استكشاف الاختلافات بين الجنسين في تباين إنفاق الطاقة إلا قليلاً. قمنا بتحليل قاعدة بيانات كبيرة حول إنفاق الطاقة لدى البشر البالغين (1494 من الذكور و 3108 من الإناث) للتحقيق فيما إذا كان البشر قد طوروا اختلافات بين الجنسين في درجة التباين بين الأفراد في إنفاق الطاقة. وجدنا أنه حتى عند المقارنة الإحصائية بين الذكور والإناث من نفس العمر والطول وتكوين الجسم، هناك تباين أكبر بكثير في إجمالي الإنفاق على الطاقة والنشاط والطاقة القاعدية بين الذكور. ومع ذلك، مع التقدم في السن، ينخفض التباين في إجمالي إنفاق الطاقة، ولأن هذا يحدث بسرعة أكبر لدى الذكور، فإن حجم التباين الأكبر للذكور، على الرغم من أنه لا يزال كبيرًا، يتم تخفيفه في الفئات العمرية الأكبر سنًا. يمكن تفسير التباين الأكبر للذكور في كل من إجمالي إنفاق الطاقة والنشاط من خلال التباين الأكبر للذكور في مستويات النشاط اليومي. يعد التباين الأكبر للذكور في إنفاق الطاقة القاعدية أمرًا ملحوظًا ويمكن تفسيره، جزئيًا على الأقل، بالتباين الأكبر للذكور في حجم الأعضاء التي تتطلب الطاقة. إذا كان إنفاق الطاقة سمة ذات أهمية غير مباشرة للإناث عند اختيار شريك جنسي، فإن هذا يشير إلى أن إنفاق الطاقة يخضع للانتقاء الجنسي. ومع ذلك، نقدم نموذجًا جديدًا للطاقة يوضح أنه من الممكن أيضًا أن تكون الإناث تحت ضغط اختيار مستقر لإنفاق طاقة قاعدية وسيطة لزيادة الطاقة المتاحة للتكاثر.
Universitet i Oslo: ... arrow_drop_down Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BYFull-Text: http://hdl.handle.net/10852/97801Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2022License: CC BYFull-Text: https://escholarship.org/uc/item/94d6d9qnData sources: Bielefeld Academic Search Engine (BASE)Aberdeen University Research Archive (AURA)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/2164/20666Data sources: Bielefeld Academic Search Engine (BASE)Journal of Human EvolutionArticle . 2022License: CC BYData sources: Eindhoven University of Technology Research PortalHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaUniversity of Copenhagen: ResearchArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Journal of Human EvolutionArticle . 2022License: CC BYData sources: Tilburg University Research PortalJournal of Human EvolutionArticle . 2022License: CC BYData sources: Maastricht University | MUMC+ Research InformationAberdeen University Research Archive (AURA)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Washington University School of Medicine: Digital Commons@BeckerArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Universitet i Oslo: ... arrow_drop_down Universitet i Oslo: Digitale utgivelser ved UiO (DUO)Article . 2022License: CC BYFull-Text: http://hdl.handle.net/10852/97801Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2022License: CC BYFull-Text: https://escholarship.org/uc/item/94d6d9qnData sources: Bielefeld Academic Search Engine (BASE)Aberdeen University Research Archive (AURA)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/2164/20666Data sources: Bielefeld Academic Search Engine (BASE)Journal of Human EvolutionArticle . 2022License: CC BYData sources: Eindhoven University of Technology Research PortalHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaUniversity of Copenhagen: ResearchArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Journal of Human EvolutionArticle . 2022License: CC BYData sources: Tilburg University Research PortalJournal of Human EvolutionArticle . 2022License: CC BYData sources: Maastricht University | MUMC+ Research InformationAberdeen University Research Archive (AURA)Article . 2022Data sources: Bielefeld Academic Search Engine (BASE)Washington University School of Medicine: Digital Commons@BeckerArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2020Publisher:MDPI AG Yoshiko Aoki; Yoshiko Aoki; Yosuke Yamada; Kaori Fujisawa; Yasuki Higaki; Makoto Nishimura; Hiroyuki Sagayama; Misaka Kimura; Aya Itoi;Adequate energy intake is essential for the healthy development of children, and the estimated energy requirement of children is determined by total daily energy expenditure (TDEE) and energy deposition for growth. A previous study in Japanese tweens indicated that TDEE could be estimated by fat-free mass (FFM) and step count. The aims of this study were to measure TDEE in Japanese preschool children and to confirm whether TDEE can be estimated by FFM and step count in preschool children. Twenty-one children aged 4–6 years old (11 girls and 10 boys; age, 5.1 (0.9) years; height, 107.2 (6.6) cm; weight, 17.5 (1.7) kg; BMI, 15.3 (1.3); mean (SD)) participated in this study. FFM and 7-day TDEE were obtained by doubly labeled water (DLW). Participants wore accelerometers during the DLW measurement period. No significant differences were observed in age-adjusted height, weight, BMI, FFM (13.0 (1.5) kg), or TDEE (1300 (174) kcal/day) between girls and boys. Girls had significantly higher percent fat and a lower daily step count than boys. Stepwise regression analysis revealed that FFM and step count were significant predictors of TDEE; TDEE (kcal/day) = 85.0 × FFM (kg) + 0.0135 × step count (steps/day). This accounted for 74% of TDEE variance. The current study confirmed that FFM and step count are major determinants of TDEE in Japanese preschool children as well as adolescents, although further research is needed to obtain precise equations.
Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/5/1223/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Nutrients arrow_drop_down NutrientsOther literature type . 2020License: CC BYFull-Text: http://www.mdpi.com/2072-6643/12/5/1223/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/nu12051223&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 JapanPublisher:Elsevier BV Itsuko Miyazawa; Katsutaro Morino; Keiko Fuse; Keiko Kondo; Akiko Ohi; Kaori Nishida; Mika Kurihara; Shoko Yasuhara; Naoko Nakanishi; Yuki Nishida; Satoshi Nakae; Yosuke Yamada; Shigeho Tanaka; Naoyuki Ebine; Satoshi Sasaki; Fuminori Katsukawa; Masaya Sasaki; Satoshi Ugi; Hiroshi Maegawa;Although accurate assessment of energy intake (EI) is critical in diabetes care, underreporting of EI on dietary records (DR) is often an issue. However, few studies have examined EI with doubly labeled water (DLW) in patients with diabetes mellitus. We aimed to investigate the impact of sex and obesity on the dissociation of DR from total energy expenditure (TEE) evaluated with DLW in patients with type 2 diabetes.Fifty-two patients with type 2 diabetes aged 60-79 years were enrolled for the Clinical Evaluation of Energy Requirements in Patients with Diabetes Mellitus (CLEVER-DM) study at a single university hospital. TEE was measured over 14 days by the DLW method as standard. EI was calculated by assessment of 3-day DR by registered dietitians.The mean difference between EI and TEE was 238 ± 412 kcal/day (~10% of TEE). Neither EI nor TEE was significantly different between obese (body mass index (BMI) ≥25 kg/m2) and non-obese (BMI <25 kg/m2) patients. There was a negative correlation between EI/TEE ratio and BMI in women (R = -0.437, P = 0.033) but not in men (R = -0.174, P = 0.377). There was a significant difference in EI/TEE ratio between obese and non-obese patients among women (0.85 ± 0.15 vs. 1.01 ± 0.21, P = 0.045) but not men (0.85 ± 0.20 vs. 0.87 ± 0.17, P = 0.79).EI calculated by 3-day DR may underestimate habitual intake, which is assumed to be equal to TEE measured by the DLW method except in non-obese women with diabetes.UMIN000023051.
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For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!
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