Depression in Community-Dwelling Older Adults Living Alone in China: Association of Social Support Network and Functional Ability

Gu, Libin; Yu, Mingming; Xu, Dongjuan; Wang, Qiuling; Wang, Wenru

doi:10.3928/19404921-20190930-03

Cited by 16 publications

(9 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cutoff score over five or six points is suggestive of depression and a score over 10 points is almost always depression [12]. Depressive symptoms can restrict older adults' daily functional abilities and psychosocial factors such as social isolation, loneliness, and living alone in older adults [13][14][15]. A previous study found that increased risk of depressive symptoms is associated with lack of social contact [16] and poor social relationships [17].…”

Section: Introductionmentioning

confidence: 99%

A New Social Network Scale for Detecting Depressive Symptoms in Older Japanese Adults

Bae

Harada

Chiba

et al. 2020

IJERPH

View full text Add to dashboard Cite

Social engagement and networking deter depression among older adults. During the COVID-19 pandemic, older adults are especially at risk of isolation from face-to-face and non-face-to-face interactions. We developed the National Center for Geriatrics and Gerontology Social Network Scale (NCGG-SNS) to assess frequency of, and satisfaction with, social interactions. The NCGG-SNS consists of four domains: face-to-face/non-face-to-face interactions with family/friends. Each domain score is obtained by multiplying frequency ratings by satisfaction ratings for each item; all scores were summed to obtain a total NCGG-SNS score (range: 0–64). Additionally, face-to-face and non-face-to-face subscores were calculated. Higher scores indicated satisfactory social networking. A cohort of 2445 older Japanese adults completed the NCGG-SNS and the Geriatrics Depression Scale-Short form. Receiver Operating Characteristic (ROC) analysis and logistic regression determined predictive validity for depressive symptoms. Depressive symptoms were reported by 284 participants (11.6%). The optimal NCGG-SNS cut-off value to identify depressive symptoms was 26.5 points. In logistic regression analysis adjusted for potential confounders, lower NCGG-SNS values were significantly associated with greater prevalence of depressive symptoms. Face-to-face and non-face-to-face subscores were associated with depressive symptoms. The NCGG-SNS is a valid and useful indicator of multidimensional social networking enabling identification of depressive symptoms in older adults.

show abstract

Section: Introductionmentioning

confidence: 99%

A New Social Network Scale for Detecting Depressive Symptoms in Older Japanese Adults

Bae

Harada

Chiba

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…Social networks are concepts related to the formal structure of social relations such as size, composition, frequency of contact, and boundaries [ 33 ]. Some social networks decrease depression, using the Lubben social network scale [ 34 , 35 , 36 ] and the framework of the World Bank’s Social Capital Assessment Tool [ 29 ]. Others decrease depression scores using the Revised Lubben Social Network Scale [ 37 , 38 , 39 ], the Chinese version of the Intergenerational Relationship Scale [ 20 ], the Social Support Scale [ 40 ], the version of portions of the social networks [ 25 ], network structure and social network function [ 19 ], network size and social interaction [ 30 , 41 , 42 ], and number of visitors per week [ 43 ].…”

Section: Methodsmentioning

confidence: 99%

Effectiveness of Social Support for Community-Dwelling Elderly with Depression: A Systematic Review and Meta-Analysis

Lee

2022

Healthcare

View full text Add to dashboard Cite

Depression in the elderly is an important health factor that requires intervention in the form of social support resources. The purpose of this study was to conduct a systematic review, while synthesizing available evidence on what kind of social support, such as social participation and social connection/network, is effective for depression in the elderly. We performed a quality assessment of the included studies using the revised Risk of Bias for Non-randomized Studies tool and a meta-analysis of studies published up to 14 May 2021. Of the 3449 studies, 52 were relevant to this study. The various types of social resource applications reported in these were classified into three types: social support, social participation, and social connection/network. The social support group had significantly lower depression compared to the control group (0.72 [0.65, 0.81], p < 0.00001, I² = 92%). There was a significant decrease in depression in the social participation group compared to the control group (0.67 [0.56, 0.80], p < 0.00001, I² = 93%) (2.77 [1.30, 5.91], p = 0.008, I² = 97%) (0.67 [0.56, 0.80], p < 0.00001, I² = 93%). Finally, the social connection/network group showed decreased depression compared to the control group (2.40 [1.89, 3.05], p < 0.00001, I² = 24%) (0.83 [0.76, 0.90], p < 0.00001, I² = 94%). The results of this systematic review confirmed the effects of various social support interventions in reducing depression among the elderly living in the community.

show abstract

“…The severity of geriatric depression might vary dramatically depending on living arrangements (14). Previous studies have shown the relationship between living arrangements and depression, but the conclusions were not consistent (5,(15)(16)(17). A cross-sectional study from South Korea reported that living without a spouse in their family and living alone were most strongly associated with depressive symptoms (15).…”

Section: Introductionmentioning

confidence: 93%

The relationship between living arrangements and depression among older adults in Shandong, China: The mediating role of social support

Pei

Hu²,

Qin³

et al. 2022

Front. Psychiatry

View full text Add to dashboard Cite

BackgroundLiving arrangements and social support have an impact on depression among older adults. However, the underlying mechanism between those variables remains unknown. This study aims to investigate the mediating role of social support in the relationship between living arrangements and depression among older adults.Materials and methodsMulti-stage stratified sampling method was used to select 3,859 older adults from Taian City, Shandong Province, China, for cross-sectional investigation. Living arrangements were measured by a question. Social support and depression were measured using the Multidimensional Scale of Perceived Social Support and Patient Health Questionnaire-9. Multiple linear regression models were used to assess the relationship between living arrangements and depression and the possible influence of social support on the relationship between living arrangements and depression.ResultsStatistics showed that 15.08% of older adults lived alone. After controlling for covariates, living arrangements (ß = 0.45, t = 2.87, P < 0.01) and social support (ß =−0.08, t =−16.93, P < 0.001) were significantly associated with depression. The linear regression model showed that social support mediated the relationship between living arrangements and depression, and the mediating effect accounted for 18.20% of the total effect.ConclusionThis study revealed that living arrangements played an essential role in indirectly predicting depression in older adults through social support. This provided evidence for how to reduce depression in older adults.

show abstract

Depression in Community-Dwelling Older Adults Living Alone in China: Association of Social Support Network and Functional Ability

Cited by 16 publications

References 43 publications

A New Social Network Scale for Detecting Depressive Symptoms in Older Japanese Adults

A New Social Network Scale for Detecting Depressive Symptoms in Older Japanese Adults

Effectiveness of Social Support for Community-Dwelling Elderly with Depression: A Systematic Review and Meta-Analysis

The relationship between living arrangements and depression among older adults in Shandong, China: The mediating role of social support

Contact Info

Product

Resources

About