Evidence map›Paper›PMID 34498092›Full record

ArticleJournal of public health (Oxford, England)2022

Association between political group participation and depressive symptoms among older adults: an 11-year longitudinal study in Taiwan.

Yu-Chun Lin, Huang-Ting Yan

Open access · hybridAbstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2022. 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
0.4field-weighted citation impact, top 33% 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, 5 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

2 authors at 2 institutions in 1 country.

Yu-Chun LinDepartment of Chinese Medicine, China Medical University Hospital, 40447 Taichung City, Taiwan, ROC.
Huang-Ting YanInstitute of Political Science, Academia Sinica, 115 Taipei City, Taiwan, ROC.
China Medical University · TWInstitute of Political Science, Academia Sinica · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the speculation that political participation is causing an epidemic of depression, this study examined how participation in political and non-political groups influenced depressive symptoms among older adults in Taiwan.

methodsThe 11-year follow-up data from the Taiwan Longitudinal Study on Ageing, covering 5334 persons aged 50 years and older, were analysed using random-effects panel logit models.

resultsEngagement in social groups reduced the likelihood of depression (adjusted odds ratio [AOR]: 0.71, 95% confidence interval [CI]: 0.64-0.80). However, there was a greater likelihood of depressive symptoms among older adults who were engaged in political groups when compared with those who were engaged in non-political groups (AOR: 1.87, 95% CI: 1.31-2.65). For older adults who remained politically engaged, participation in a greater number of non-political group types was associated with a lower likelihood of depression (e.g. at 1: AOR: 0.53, 95% CI: 0.30-0.91; at 2+: AOR: 0.35, 95% CI: 0.18-0.67); this numbers-based effect was not prevalent among those who were solely engaged in non-political groups.

conclusionsPolitical group attendance can result in negative mental health outcomes among older adults. Our findings suggest that reducing the prevalence of depression through social participation is conditional to the engagement type.

Indexed as

DepressionSocial ParticipationAgedAgingHumansLongitudinal StudiesMiddle AgedTaiwandepressionolder adultspolitical groupssocial engagementTaiwan

Identifiers

PMID34498092
PMCPMC9715300
OpenAlexW3198105333

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.