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description Publicationkeyboard_double_arrow_right Article , Other literature type 2024 SpainPublisher:MDPI AG Authors:Álvaro Fernández-Cardero;
José Sierra-Cinos; Adrián López-Jiménez;Álvaro Fernández-Cardero
Álvaro Fernández-Cardero in OpenAIREBeatriz Beltrán;
+4 AuthorsBeatriz Beltrán
Beatriz Beltrán in OpenAIREÁlvaro Fernández-Cardero;
José Sierra-Cinos; Adrián López-Jiménez;Álvaro Fernández-Cardero
Álvaro Fernández-Cardero in OpenAIREBeatriz Beltrán;
Beatriz Beltrán
Beatriz Beltrán in OpenAIRECarmen Cuadrado;
Carmen Cuadrado
Carmen Cuadrado in OpenAIREMaría García-Conesa;
María García-Conesa
María García-Conesa in OpenAIRELaura Bravo;
Laura Bravo
Laura Bravo in OpenAIREBeatriz Sarriá;
Beatriz Sarriá
Beatriz Sarriá in OpenAIREObesity is a worldwide epidemic, making it crucial to understand how it can be effectively prevented/treated. Considering that obesity is a multifactorial condition, this article carried out a baseline cross-sectional study of the variables involved in the disorder. Eighty-four subjects with overweight/obesity were recruited. Dietary baseline information was obtained by analysing three 24 h recalls. Resting metabolic rate was measured using indirect calorimetry, physical activity was measured through accelerometry, cardiometabolic parameters were determined in blood samples and body composition via anthropometry and bioimpedance. A univariant and multivariate exploratory approach was carried out using principal component analysis (PCA). Large inter-individual variability was observed in dietetic, biochemical, and physical activity measurements (coefficient of variation ≥ 30%), but body composition was more uniform. Volunteers had an unbalanced diet and low levels of physical activity. PCA reduced the 26 analysed variables to 4 factors, accounting for 65.4% of the total data variance. The main factor was the “dietetic factor”, responsible for 24.0% of the total variance and mainly related to energy intake, lipids, and saturated fatty acids. The second was the “cardiometabolic factor” (explaining 16.8% of the variability), the third was the “adiposity factor” (15.2%), and the last was the “serum cholesterol factor” (9.4%).
Nutrients arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2024 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd 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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visibility 61visibility views 61 download downloads 53 Powered bymore_vert Nutrients arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2024 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAadd 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/nu16081143&type=result"></script>'); --> </script>
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