Evidence map›Paper›PMID 33467046›Full record

ArticleToxics2021

Residential Green and Blue Spaces and Type 2 Diabetes Mellitus: A Population-Based Health Study in China.

Ruijia Li, Gongbo Chen, Anqi Jiao, Yuanan Lu, Yuming Guo, Shanshan Li, Chongjian Wang, Hao Xiang

Abstract read
In one paragraph

Article in Toxics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  12. The neighbourhood environment and profiles of the metabolic syndrome.Environmental health : a global access science source · 2022
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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

8 authors.

Ruijia LiDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, China.
Gongbo ChenGuangdong Environmental and Health Risk Assessment Engineering Technology Research Center, Department of Occupational and Environmental Hygiene, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Anqi JiaoDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, China.
Yuanan LuEnvironmental Health Laboratory, Department of Public Health Sciences, University Hawaii at Manoa, Honolulu, HI 96822, USA.ORCID 0000-0002-6854-6945
Yuming GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-1766-6592
Shanshan LiDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3010, Australia.
Chongjian WangDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3010, Australia.
Hao XiangDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan 430071, China.ORCID 0000-0003-0902-0115

Funding

Australian National Health and Medical Research Council APP1107107Australian National Health and Medical Research Council APP1109193Bill and Melinda Gates Foundation OOP1148464National Key Research and Development Program of China 2016YFC0900803National Natural Science Foundation of China 81903279
6 · The paper itself

Abstract

Evidence on the health benefits of green space in residential environments is still limited, and few studies have investigated the potential association between blue space and type 2 diabetes mellitus (T2DM) prevalence. This study included 39,019 participants who had completed the baseline survey from the Henan Rural Cohort Study, 2015-2017. The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) were employed to characterize the residential green space, and the distance from the participant's residential address to the nearest water body was considered to represent the residential blue space. Mixed effect models were applied to evaluate the associations of the residential environment with T2DM and fasting blood glucose (FBG) levels. An interquartile range (IQR) increase in NDVI and EVI was significantly associated with a 13.4% (odds ratio (OR): 0.866, 95% Confidence interval (CI): 0.830,0.903) and 14.2% (OR: 0.858, 95% CI: 0.817,0.901) decreased risk of T2DM, respectively. The residential green space was associated with lower fasting blood glucose levels in men (%change, -2.060 in men vs. -0.972 in women) and the elderly (%change, -1.696 in elderly vs. -1.268 in young people). Additionally, people who lived more than 5 km from the water body had a 15.7% lower risk of T2DM (OR: 0.843, 95% CI: 0.770,0.923) and 1.829% lower fasting blood glucose levels (95% CI: -2.335%,-1.320%) than those who lived closer to the blue space. Our findings suggest that residential green space was beneficially associated with T2DM and fasting blood glucose levels. However, further research is needed to explore more comprehensively the relationship between residential blue space and public health.

Indexed as

green spaceresidential environmenttype 2 diabeteswater body

Identifiers

PMID33467046
PMCPMC7830986

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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.