Evidence map›Paper›PMID 38351956›Full record

ArticleFrontiers in public health2024

The influence of different sources of anticipated instrumental support on depressive symptoms in older adults.

Duanduan Fu, Fang Wang, Baizhi Gao, Qin Bai, Guilin Liu, Jinghui Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 9% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed, 3 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Duanduan FuSchool of Public Health and Management, Wenzhou Medical University, Wenzhou, China.
Fang WangSchool of Public Health and Management, Wenzhou Medical University, Wenzhou, China.
Baizhi GaoSchool of Public Health and Management, Wenzhou Medical University, Wenzhou, China.
Qin BaiSchool of Public Health and Management, Wenzhou Medical University, Wenzhou, China.
Guilin LiuSchool of Public Health and Management, Wenzhou Medical University, Wenzhou, China.
Jinghui ZhuSchool of Public Health and Management, Wenzhou Medical University, Wenzhou, China.
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated how anticipated instrumental support sources and intergenerational support influence depressive symptoms in older Chinese adults. Methods: We employed binary logistic regression on data from 7,117 adults aged ≥60 in the 2018 China Health and Retirement Longitudinal Study, controlling for gender, marital status, and self-rated health. Results: 38.89% of respondents exhibited depressive symptoms. Anticipated support from spouse and children, spouse only, children only, or other sources showed 52, 25, 46, and 40% lower odds of depression, respectively, compared with no anticipated support. Those providing financial support had 36% higher odds of depression than those without exchanges. However, those receiving financial support, receiving instrumental support, and receiving and providing financial and emotional support had 19, 14, 23, and 24% lower odds of depression. Conclusion: Different anticipated instrumental support sources and intergenerational support influenced depression odds in older adults, suggesting potential benefits in promoting such support systems.

Indexed as

DepressionRetirementAgedChildChinaHumansLogistic ModelsLongitudinal StudiesMiddle Agedanticipated instrumental supportChina Health and Retirement Longitudinal Studydepressive symptomsintergenerational supportolder adults

Identifiers

PMID38351956
PMCPMC10861699
OpenAlexW4391359262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.