Evidence map›Paper›PMID 35086485›Full record

ArticleBMC geriatrics2022

Intergenerational support and depressive symptoms among older adults in rural China: the moderating roles of age, living alone, and chronic diseases.

Qian Sun, Youwei Wang, Nan Lu, Shiyan Lyu

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qian SunDepartment of Social Security, School of Public Administration, Hebei University of Economics and Business, Shijiazhuang, China.
Youwei WangDepartment of Social Security, School of Public Administration, Hebei University of Economics and Business, Shijiazhuang, China. youweidixi@163.com.
Nan LuSau Po Centre on Ageing, The University of Hong Kong, Hong Kong, China.
Shiyan LyuDepartment of Social Security, School of Public Administration, Hebei University of Economics and Business, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile depressive symptoms are recognized as major mental health problems in later life, there is a lack of study in examining potential moderators in the association between intergenerational support and depressive symptoms, especially in social contexts with low socioeconomic status and inadequate formal public support. This study set out to examine the association between intergenerational support and depressive symptoms among older adults in rural Northeast China, and the potential moderating roles of age, living alone, and number of chronic diseases on this link.

methodsA quota sampling approach was used to recruit 448 respondents aged 60 and above from rural Chinese communities. Depressive symptoms were the dependent variable. Intergenerational emotional, instrumental, and financial support were the main independent variables. Age, living alone, and number of chronic diseases were the moderators. Multiple linear regression models with interaction terms were conducted to test the proposed model.

resultsThe results showed that intergenerational emotional support was significantly associated with depressive symptoms in older adults when instrumental and financial support and covariates were controlled (β = -0.196, p < .001). Age was found to have a significant moderating effect on the relationship between intergenerational instrumental support and depressive symptoms (β = -0.118, p < .05). Among older respondents aged 74.51 years and older, instrumental support was positively associated with depressive symptoms, but this association was not significant for younger respondents. Furthermore, living alone and number of chronic diseases suffered moderated the association between intergenerational financial support and depressive symptoms, which was statistically significant only for those living alone and with more chronic diseases (interaction term between living alone and intergenerational financial support: β = -0.082, p < .05; interaction term between number of chronic diseases and intergenerational financial support: β = -0.088, p < .05.

conclusionsThe findings not only highlight the important role of intergenerational support in promoting mental health in later life in rural Chinese contexts, but also identify within-population heterogeneity in the identified associations. Policy and intervention implications are discussed.

Indexed as

DepressionIntergenerational RelationsRural PopulationSocial SupportAgedAge DistributionChinaChronic DiseaseHome EnvironmentHumansMiddle AgedRisk FactorsDepressive symptomsIntergenerational supportModeratorOlder adults

Identifiers

PMID35086485
PMCPMC8796626

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