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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Wiener klinische Woc...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Wiener klinische Wochenschrift
Article . 2009 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Clinical Gerontologist
Article . 2011 . Peer-reviewed
Data sources: Crossref
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Proceedings of the International Conference on Ageing

Authors: Mark Rinnerthaler; Birgit Simon-Nobbe; Phyllis von Seyerl; Peter Laun; Harald Klinger; Raphaela Rid; Michael Breitenbach; +2 Authors

Proceedings of the International Conference on Ageing

Abstract

Gender differences in depressive symptoms among older Chinese were examined based upon data collected from a survey with 497 randomly selected aging Chinese of 60 years or older in Jiangsu, China. A Chinese version of the 15-item Geriatric Depression Scale was used. Depressive symptoms correlated with lower levels of education, financial inadequacy, lower levels of satisfaction toward housing, higher levels of worry, and poorer physical health. When controlled for other confounding factors, the effect of gender was not significant. Gender differences were most likely attributed to women's less favorable status in education level, living arrangement, housing condition, and social support.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Average