Evidence map›Paper›PMID 33865321›Full record

ArticleBMC geriatrics2021

Association between housing environment and depressive symptoms among older people: a multidimensional assessment.

Yuan Chen, Ping Yu Cui, Yi Yang Pan, Ya Xing Li, Nuremaguli Waili, Ying Li

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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  14. The Risk for Loneliness and Major Depression among Solo Agers.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2023
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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.

Yuan ChenDepartment of Social Medicine, School of Public Health, Zhejiang University, 866 Yu-hang-tang Road, Zhejiang, 310058, Hangzhou, China.
Ping Yu CuiDepartment of Social Medicine, School of Public Health, Zhejiang University, 866 Yu-hang-tang Road, Zhejiang, 310058, Hangzhou, China.
Yi Yang PanDepartment of Social Medicine, School of Public Health, Zhejiang University, 866 Yu-hang-tang Road, Zhejiang, 310058, Hangzhou, China.
Ya Xing LiDepartment of Social Medicine, School of Public Health, Zhejiang University, 866 Yu-hang-tang Road, Zhejiang, 310058, Hangzhou, China.
Nuremaguli WailiDepartment of Social Medicine, School of Public Health, Zhejiang University, 866 Yu-hang-tang Road, Zhejiang, 310058, Hangzhou, China.
Ying LiDepartment of Social Medicine, School of Public Health, Zhejiang University, 866 Yu-hang-tang Road, Zhejiang, 310058, Hangzhou, China. ying_li@zju.edu.cn.ORCID 0000-0001-8953-2166
Zhejiang University · CN

Funding

the basic public welfare project of Zhejiang Province LGF19H260012WeiJiang Special Foundation, Zhejiang University School of Public Health 20190701
6 · The paper itself

Abstract

backgroundDepression is a common mental disorder among older people. This study aimed to assess the association between housing environment factors and depressive symptoms among older people using a multidimensional assessment method.

methodsThe study uses a population-based cross-sectional design. A total of 950 participants aged ≥ 60 years were selected using a complex multistage sampling design from 22 locations in China. All data were collected using questionnaires by face-to-face interviews. A total of 938 participants were included in the analysis, and 17.1% of males and 23.1% of females were identified as having depressive symptoms. The depressive symptoms were assessed using the 15-item Geriatric Depression Scale. The housing environment was assessed on the basis of four dimensions: physical, social, psychological, and cognition and physical function. Cumulative logistic regression analysis was used to evaluate the association between housing environment and depressive symptoms.

resultsThe Cochran-Armitage trend test showed that the depressive symptom scores were linearly negatively associated with self-assessed housing environment, living arrangement, life satisfaction, and other physical environment factors and linearly positively associated with cognitive and physical function scores. The results of cumulative logistic regression analysis showed that the housing environment was significantly associated with depressive symptoms. The participants' self-assessed housing environment was strongly associated with the levels of depressive symptom scores, and the odds ratio was 3.47 (95% CI, 1.14-10.82, P = 0.003).

conclusionThe housing environment was significantly associated with depressive symptoms. Our results suggest that multi-dimensional assessment in the housing environment may be an effective way to develop intervention strategies of depressive symptoms among older people.

Indexed as

DepressionHousingAgedAged, 80 and overChinaCross-Sectional StudiesFemaleGeriatric AssessmentHumansMaleSurveys and QuestionnairesCross-sectional studyCumulative logistic regression analysisDepressive symptomsHousing environmentMultidimensional assessment

Identifiers

PMID33865321
PMCPMC8052816
OpenAlexW3155883426

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.