Evidence map›Paper›PMID 39245566›Full record

ArticleEnvironmental health and preventive medicine2024

Lower regional urbanicity and socioeconomic status attenuate associations of green spaces with hypertension and diabetes mellitus: a national representative cross-sectional study in China.

Wanzhou Wang, Chao Yang, Jinwei Wang, Fulin Wang, Ze Liang, Yueyao Wang, Feifei Zhang, Chenyu Liang, Chenshuang Li, Yiqun Lan and 5 more

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Article in Environmental health and preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

15 authors.

Wanzhou WangNational Institute of Health Data Science at Peking University.
Chao YangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology.
Jinwei WangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology.
Fulin WangNational Institute of Health Data Science at Peking University.
Ze LiangKey Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University.
Yueyao WangKey Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University.
Feifei ZhangNational Institute of Health Data Science at Peking University.
Chenyu LiangKey Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University.
Chenshuang LiCenter for Smart and Healthy Buildings, Huazhong University of Science and Technology.
Yiqun LanCenter for Smart and Healthy Buildings, Huazhong University of Science and Technology.
Shuangcheng LiKey Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University.
Pengfei LiAdvanced Institute of Information Technology, Peking University.
Ying ZhouCenter for Smart and Healthy Buildings, Huazhong University of Science and Technology.
Luxia ZhangNational Institute of Health Data Science at Peking University.
Lieyun DingCenter for Smart and Healthy Buildings, Huazhong University of Science and Technology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh blood pressure (HBP) and diabetes mellitus (DM) are two of the most prevalent cardiometabolic disorders globally, especially among individuals with lower socio-economic status (SES). Studies have linked residential greenness to decreased risks of HBP and DM. However, there has been limited evidence on whether SES may modify the associations of residential greenness with HBP and DM.

methodsBased on a national representative cross-sectional study among 44,876 adults, we generated the normalized difference vegetation index (NDVI) at 1 km spatial resolution to characterize individuals' residential greenness level. Administrative classification (urban/rural), nighttime light index (NLI), individual income, and educational levels were used to characterize regional urbanicity and individual SES levels.

resultsWe observed weaker inverse associations of NDVI with HBP and DM in rural regions compared to urban regions. For instance, along with per interquartile range (IQR, 0.26) increment in residential NDVI at 0∼5 year moving averages, the ORs of HBP were 1.04 (95%CI: 0.94, 1.15) in rural regions and 0.85 (95%CI: 0.79, 0.93) in urban regions (P = 0.003). Along with the decrease in NLI levels, there were continuously decreasing inverse associations of NDVI with DM prevalence (P for interaction <0.001). In addition, weaker inverse associations of residential NDVI with HBP and DM prevalence were found among individuals with lower income and lower education levels compared to their counterparts.

conclusionsLower regional urbanicity and individual SES could attenuate the associations of residential greenness with odds of HBP and DM prevalence.

Indexed as

Diabetes MellitusHypertensionSocial ClassAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedParks, RecreationalResidence CharacteristicsRural PopulationUrban PopulationDiabetes mellitusHigh blood pressureRegional urbanicityResidential greennessSocio-economic statusUrbanization

Identifiers

PMID39245566
PMCPMC11391273

What Socratic holds

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LicenceCC BY
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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 Socratic graph.