Evidence map›Paper›PMID 31277619›Full record

ArticleBMC public health2019

Depressive symptoms among Chinese residents: how are the natural, built, and social environments correlated?

Ruoyu Wang, Ye Liu, Desheng Xue, Marco Helbich

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Green Space and Health in Mainland China: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Article
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  8. Perceived Environmental Attributes: Their Impact on Older Adults' Mental Health in Malaysia.International journal of environmental research and public health · 2022
    Article
  9. Article
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  15. Suicide Rates, Social Capital, and Depressive Symptoms among Older Adults in Japan: An Ecological Study.International journal of environmental research and public health · 2019
    Article
  16. 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.

Ruoyu WangSchool of Geography and Planning, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, 510275, China.
Ye LiuSchool of Geography and Planning, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, 510275, China. liuye25@mail.sysu.edu.cn.
Desheng XueSchool of Geography and Planning, Sun Yat-Sen University, Xingang Xi Road, Guangzhou, 510275, China. eesxds@mail.sysu.edu.cn.
Marco HelbichDepartment of Human Geography and Spatial Planning, Utrecht University, Utrecht, The Netherlands.

Funding

National Natural Science Foundation of China 41320104001National Natural Science Foundation of China 41501151National Natural Science Foundation of China 41871140The Innovative R&D Team Introduction Program of Guangdong Province 2017ZT07X355
6 · The paper itself

Abstract

backgroundDepression has become a severe societal problem in China. Although many studies have analyzed how environmental characteristics within neighborhoods affect depression, only a few have dealt with developing countries, and even fewer have considered built, natural, and social environments concurrently.

methodsBased on a sample of 20,533 Chinese residents assessed in 2016, the present study examined associations between depressive symptoms and respondents' built, natural, and social environments. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (CES-D), and multilevel regression models were fitted accounting for potential covariates.

resultsResults indicated that living in neighborhoods with more green spaces and a higher population density were negatively associated with CES-D scores. Living in neighborhoods with more social capital was protective against depression. Furthermore, results showed that the social environment moderated the association between the built environment and depression.

conclusionsSocial environments moderate the relationship between the built environment and depression. As environments seem to interact with each other, we advise against relying on a single environment when examining associations with depressive symptoms.

Indexed as

Social EnvironmentAdultBuilt EnvironmentChinaDepressionFemaleHumansMaleMiddle AgedMultilevel AnalysisResidence CharacteristicsRisk FactorsBuilt, natural, and social environmentsChinaDepressionModerating effect

Identifiers

PMID31277619
PMCPMC6611031

What OpenQuestion holds

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LicenceCC BY
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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.