Evidence map›Paper›PMID 34557719›Full record

ArticleInnovation (Cambridge (Mass.))2020

Associations of Residential Greenness with Depression and Anxiety in Rural Chinese Adults.

Niu Di, Shanshan Li, Hao Xiang, Yinyu Xie, Zhenxing Mao, Jian Hou, Xiaotian Liu, Wenqian Huo, Boyi Yang, Guanghui Dong and 3 more

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Urban green spaces and mental health: Findings from Uganda.Hygiene and environmental health advances · 2025
    Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Exposome in human health: Utopia or wonderland?Innovation (Cambridge (Mass.)) · 2021
    Review
  17. Greenspace and human health: An umbrella review.Innovation (Cambridge (Mass.)) · 2021
    Review
  18. Article
  19. 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

13 authors.

Niu DiGlobal Health Institute; Department of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, Hubei, China.
Shanshan LiDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Hao XiangGlobal Health Institute; Department of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, Hubei, China.
Yinyu XieGlobal Health Institute; Department of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, Hubei, China.
Zhenxing MaoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, Henan, China.
Jian HouDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, Henan, China.
Xiaotian LiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, Henan, China.
Wenqian HuoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, Henan, China.
Boyi YangGuangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2 Road, Yuexiu District, Guangzhou 510080, Guangdong, China.
Guanghui DongGuangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2 Road, Yuexiu District, Guangzhou 510080, Guangdong, China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, Henan, China.
Gongbo ChenGuangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2 Road, Yuexiu District, Guangzhou 510080, Guangdong, China.
Yuming GuoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and anxiety are top contributors to non-fatal health loss globally. Several studies have indicated the association between residential greenness and mental health.

methodThe participants (n = 27,366) were recruited from four counties in Henan Province, China during 2015-2017. Symptoms of depression and anxiety were evaluated using the Patient Health Questionnaire-2 (PHQ-2) and the Generalized Anxiety Disorder-2 (GAD-2) in the baseline survey. The level of residential greenness during the 3-year period before the baseline survey was assessed using the Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). The mixed-effect linear regression model was applied to examine the associations of residential greenness with depression and anxiety.

resultsThe results of adjusted models showed that the score of PHQ-2 (Δscore and 95% confidence interval [CI]) decreased by -0.024 (-0.041, -0.006) and -0.022 (-0.038, -0.004) with an interquartile range (IQR) increase in NDVI and EVI within a 1,000-m buffer radius, respectively. The score of GAD-2 (Δscore and 95% CI) decreased by -0.024 (-0.040, -0.006) and -0.028 (-0.044, -0.011), in relation to an IQR increase in NDVI and EVI within a 1,000-m buffer radius, respectively.

conclusionsA higher level of residential greenness was significantly associated with lower risk of depression and anxiety in rural areas of Henan Province. Improving residential greenness accessibility may help to promote the mental health of rural populations.

Indexed as

anxietydepressionepidemiologyresidential greennessrural residents

Identifiers

PMID34557719
PMCPMC8454668

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.