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Association of eating alone with depression among older adults living alone: Role of poor social networks.

Abstract：

OBJECTIVES:Eating alone is associated with an increased risk of depression symptoms. This association may be confounded by poor social networks. The present study aimed to determine the role of poor social networks in the association of eating alone with depression symptoms, focusing on cohabitation status. METHODS:Seven hundred and ten community-dwelling older adults were categorised according to their eating style and social network size, evaluated by an abbreviated version of the Lubben Social Network Scale, with poor social network size defined as the lowest quartile. Living arrangements and depression symptoms, detected by the Zung Self-Rating Depression Scale, were also assessed. RESULTS:A mixed-design two-way ANCOVA (eating style and social network size factors) for the depression scale score, adjusted by covariates, yielded significant effects of social network size and eating style without interaction. Greater depression scores were observed in eating alone and poor social network size. Analysis of participants living with others showed the same results. However, among older adults living alone, only a significant main effect of social network size was observed; poor social network size resulted in greater depression scores irrespective of eating style. CONCLUSIONS:Poor social network size, and not eating alone, was associated with greater depression symptoms among older adults living alone, whereas both factors may increase depression symptoms among older adults living with others. Poor social network size may show a stronger influence on depression than eating alone in older adults living alone; thus, social network size is an important health indicator.

journal_name

J Epidemiol

journal_title

Journal of epidemiology

authors

Sakurai R,Kawai H,Suzuki H,Kim H,Watanabe Y,Hirano H,Ihara K,Obuchi S,Fujiwara Y

doi

10.2188/jea.JE20190217

subject

Has Abstract

pub_date

2020-04-18 00:00:00

eissn

0917-5040

issn

1349-9092

pub_type

杂志文章

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