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Is the Relationship between Depression and C Reactive Protein Level Moderated by Social Support in Elderly?-Korean Social Life, Health, and Aging Project (KSHAP)

Overview of attention for article published in Psychiatry Investigation, January 2018
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Title
Is the Relationship between Depression and C Reactive Protein Level Moderated by Social Support in Elderly?-Korean Social Life, Health, and Aging Project (KSHAP)
Published in
Psychiatry Investigation, January 2018
DOI 10.4306/pi.2018.15.1.24
Pubmed ID
Authors

Nam Wook Hur, Hyeon Chang Kim, Linda Waite, Yoosik Youm

Abstract

To investigate the buffering effects of social support as an effects modifier in the association between depression and inflammation in the elderly. We analyzed the Korean Social Life, Health, and Aging Project (KSHAP) for questionnaire, clinical, and laboratory data of 530 older adults living in a rural community. Multivariate regression models were used to investigate the association between depressive symptoms and C-reactive protein level (CRP), a marker of inflammation, at varying levels of social support. Social support affected the association between depressive symptoms and CRP level in both sexes. However, the direction of effects modification was different for men and women. In men, a higher CRP level was significantly associated with depressive symptoms only among those with lower support from a spouse or family members. By contrast, in women, the association was significant only among subgroups with higher spousal or family support. Social support from neighbors or friends did not affect the depression-inflammation relationship in men but modestly affected the relationship in women. Our findings suggest that social support may have a buffering effect in the relationship between depression and inflammation in elderly Koreans. But the influence of social support may run in different directions for men and women.

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 23%
Student > Doctoral Student 4 11%
Student > Ph. D. Student 3 9%
Student > Master 3 9%
Lecturer 1 3%
Other 4 11%
Unknown 12 34%
Readers by discipline Count As %
Psychology 10 29%
Medicine and Dentistry 7 20%
Nursing and Health Professions 2 6%
Chemical Engineering 1 3%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 13 37%