Evidence map›Paper›PMID 39215246›Full record

ArticleBMC geriatrics2024

The impact of community services usage on geriatric depression: a ten-year follow-up study.

Xiaowen Li, Yuanqing He, Shuhu Chen, Jun Zhang

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

4 authors.

Xiaowen LiInstitute of Mental Health Education, Anhui Normal University, Wuhu, 241000, China.
Yuanqing HeSchool of Educational Science, Anhui Normal University, Wuhu, 241000, China. xljkjyyjs@163.com.
Shuhu ChenCollege of law, Anhui Normal University, Wuhu, 241000, China.
Jun ZhangInstitute of Mental Health Education, Anhui Normal University, Wuhu, 241000, China.

Funding

National Education Science "Thirteenth Five-Year Plan" Project BBA190027
6 · The paper itself

Abstract

backgroundThis study explores whether the impact of environmental factors (community services usage, CSU) on geriatric depression is mediated by psychological resilience and moderated by the COMT (catechol-O-methyltransferase) gene val158met polymorphism.

methodsThe data consists of 13,512 entries from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) collected in the years 2008, 2011, 2014, and 2018. The study employed a Random Intercept Cross-Lagged Panel Model (RI-CLPM) to examine the relationship between CSU and geriatric depression, including the mediating effect of psychological resilience and the moderating role of the comt gene val158met gene polymorphism in this relationship.

resultsLower CSU at earlier assessments were significantly associated with more severe geriatric depression in subsequent evaluations.Psychological resilience was found to partially mediate the relationship between CSU and depression.Differential impacts were observed among various gene genotypes; specifically, the val genotype demonstrated a significantly greater influence of CSU on subsequent psychological resilience and on subsequent depression compared to the met genotype.

conclusionEnhancement in CSU can predict subsequent geriatric depression. The relationship between the CSU and depression can be mediated by psychological resilience, with genetics modulating the pathway from CSU through psychological resilience to depression. Multidisciplinary interventions focused on enhancing community service quality, boosting psychological resilience, and mitigating depression are likely to benefit the older adults's emotional and psychological well-being.

Indexed as

DepressionResilience, PsychologicalAgedAged, 80 and overCatechol O-MethyltransferaseChinaCommunity Health ServicesFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleCatechol O-MethyltransferaseCOMT protein, humanCommunity services usageGeriatric depressionOlder adultsPsychological resilienceRandom intercept cross-lagged panel model

Identifiers

PMID39215246
PMCPMC11363550

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LicenceCC BY-NC-ND
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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.