Evidence map›Paper›PMID 35840878›Full record

ArticleBMC geriatrics2022

Influence of intergenerational relationships on depressive symptoms in ageing Chinese adults in Hong Kong: Mediating effects of sense of loneliness.

Jia-Jia Zhou, Xue Bai

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jia-Jia ZhouDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Xue BaiDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China. xue.bai@polyu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health of older adults could be positively predicted by harmonious parent-adult children relationships, although the mechanism has not been sufficiently demonstrated. This study employed sense of loneliness as mediator to examine the influence of multiple domains of intergenerational relationships on depressive symptoms in ageing Chinese adults.

methodsData was extracted from a representative survey in Hong Kong among Chinese adults aged over 50 with at least one adult child (n = 801). Four key domains (structural-associational, consensual-normative, affectual closeness, and intergenerational conflict) were adopted to measure the intergenerational relationship quality. Depressive symptoms were assessed using the five-item Geriatric Depression Scale. The mediating role of sense of loneliness in the association between intergenerational relationships and depressive symptoms were tested by the PROCESS macro in SPSS.

resultsThe influence of overall intergenerational relationship quality and its four subdomains on depressive symptoms were significantly mediated by sense of loneliness. Among the four domains, affectual closeness presented the strongest association with older people's depressive symptoms. The effect of intergenerational conflict on depressive symptoms was completely mediated by sense of loneliness, and the effects of remaining three domains were partially mediated. The domain of consensual-normative solidarity received the lowest rating by Chinese older adults.

conclusionThe psychological pathway that loneliness links intergenerational relationships and depressive symptoms was supported in this study. With respect to improving intergenerational relationships, enhancing affectual connection between older parents and adult children was essential to prevent mental problems. This study calls for more attention to the protective role of diverse social relationships in improving mental health through multiple pathways.

Indexed as

DepressionLonelinessAgedAgingAsian PeopleHong KongHumansAffectual closenessDepressive symptomsIntergenerational relationshipsPsychological pathwaySense of loneliness

Identifiers

PMID35840878
PMCPMC9287879

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.