Evidence map›Paper›PMID 33303439›Full record

ArticleBMJ open2020

Built form and depression among the Chinese rural elderly: a cross-sectional study.

Qin-Wei Qiu, Jing Li, Jia-Yu Li, Yong Xu

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Relationship of depression and loneliness with quality of life in rural widowed elderly women living alone.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Article
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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

4 authors.

Qin-Wei QiuSchool of Public Health, Soochow University Medical College, Suzhou, Jiangsu, China.
Jing LiSchool of Public Health, Soochow University Medical College, Suzhou, Jiangsu, China.
Jia-Yu LiSchool of Public Health, Soochow University Medical College, Suzhou, Jiangsu, China.
Yong XuSchool of Public Health, Soochow University Medical College, Suzhou, Jiangsu, China xuysuda@163.com.ORCID 0000-0002-4669-447X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFew data on the association between housing structure and depression among rural elders in China are available. We examined the impact of built forms on depression.

designThis is a cross-sectional study.

settingA representative sample of rural residents aged 60 years or older in China.

participantsA total of 5090 older adults in 2019 in rural Suzhou, China. OUTCOME MEASURES: Associations of built form with odds of probable and possible depression.

resultsThere was significant difference among elders living in varied sizes of house. Older age (vs 60-64 years: 75-79 years AdjOR, 1.737; 95% CI, 1.309 to 2.305; ≥80 years AdjOR, 2.072; 95% CI, 1.439 to 2.981), male sex (AdjOR, 0.719; 95% CI, 0.593 to 0.871), single (AdjOR, 1.303; 95% CI, 1.032 to 1.646), self-care disability (AdjOR, 4.761; 95% CI, 3.960 to 5.724), three or more chronic diseases (AdjOR, 2.200; 95% CI, 1.657 to 2.920), living alone (AdjOR, 1.443; 95% CI, 1.059 to 1.966), living in cottage (AdjOR, 1.426; 95% CI, 1.033 to 1.967), living space (vs <50 m

conclusionThe built form was significantly and meaningfully associated with depression among Chinese rural elders. More attention should be paid to preventing mental illness among the rural elderly living in the small housing area and cottages in China.

Indexed as

DepressionRural PopulationAgedChinaCross-Sectional StudiesHousingHumansMaleMiddle Ageddepression & mood disordersepidemiologyold age psychiatrypublic health

Identifiers

PMID33303439
PMCPMC7733171

What OpenQuestion holds

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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.