Evidence map›Paper›PMID 31496848›Full record

ArticlePsychology research and behavior management2019

Personal, behavioral, and perceived environmental factors associated with late-life depression in older men and women.

Chien-Yu Lin, Bohyeon Kim, Yung Liao, Jong-Hwan Park

Abstract read
In one paragraph

Article in Psychology research and behavior management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. 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.

Chien-Yu LinGraduate School of Sport Sciences, Waseda University, Tokorozawa, Japan.
Bohyeon KimHealth Convergence Medicine Research Group, Biomedical Research Institute, Pusan National University Hospital, Busan, Korea.
Yung Liao *Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, Taiwan.
Jong-Hwan Park *Health Convergence Medicine Research Group, Biomedical Research Institute, Pusan National University Hospital, Busan, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevious investigations on factors associated with depression were highly focused on personal characteristics and health behaviors; however, few studies used an ecological perspective on the issue, much less on sex differences. This study examined the factors associated with depression, including any sex differences.

methodsA total of 1025 Taiwanese adults older than 65 years were recruited. Their personal demographics, lifestyle behaviors, and perceived environmental factors were obtained through a telephone-based survey. The multiple factors associated with depression in older adults were examined using logistic regression analyses.

resultsFully logistic regression analyses revealed that poor self-rated health (odds ratio =2.54) was correlated with a greater likelihood of depression. Aside from poor self-rated health, being older, sufficient leisure time spent in walking, and perceptions of a safe environment were associated with lower risks of depression in older men, whereas having hypertension and excessive TV viewing were associated with higher risks of depression in older women.

conclusionApart from self-rated health, sex differences in the associations of factors such as leisure-time walking, TV watching, and safe traffic environment with depression were observed among older adults. Strategies applied for geriatric depression prevention should take into consideration different sex group.

Indexed as

geriatric depressionmultiple factorsolder adults

Identifiers

PMID31496848
PMCPMC6691963

What OpenQuestion holds

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LicenceCC BY-NC
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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.