Evidence map›Paper›PMID 42582695›Full record

ArticleHealth science reports2026

Association and Interaction of Neighborhood Environment and Social Factors With Blood Glucose Among Adult Residents: A Cross-Sectional Study.

Xiao Ji Zhang, Yunyan Xianyu, Tianyu He, Guiqin Zhang, Jiatong Cui, Yu Xin Cheng, Yu Jia Liu, Jie Chen, Qian Liu, Dan Luo and 3 more

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Xiao Ji ZhangCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.ORCID https://orcid.org/0009-0007-6202-5077
Yunyan XianyuDepartment of Nursing Renmin Hospital of Wuhan University Wuhan China.ORCID https://orcid.org/0000-0002-4012-1769
Tianyu HeCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.ORCID https://orcid.org/0009-0007-8887-4237
Guiqin ZhangCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.
Jiatong CuiCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.
Yu Xin ChengCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.
Yu Jia LiuCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.ORCID https://orcid.org/0009-0003-5726-0604
Jie ChenFlorida State University College of Nursing Tallahassee Florida USA.ORCID https://orcid.org/0000-0002-1568-8974
Qian LiuCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.ORCID https://orcid.org/0000-0001-6833-6131
Dan LuoCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.ORCID https://orcid.org/0000-0003-3079-3921
Xiao Qin WangCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.ORCID https://orcid.org/0000-0001-9422-6868
Bing Xiang YangCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.ORCID https://orcid.org/0000-0002-0227-4342
Huijing ZouCenter for Wise Information Technology of Mental Health Nursing Research, School of Nursing Wuhan University Wuhan China.ORCID https://orcid.org/0000-0002-5656-5364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: High fasting blood glucose (FBG) ranks fifth among the global risk factors for disease burden, influenced by both individual and environmental factors. However, the roles of social and neighborhood environmental factors remain underexplored in China. This study aimed to estimate the relationship between neighborhood environment, social factors, and FBG among adult residents, and explore potential interaction. Methods: This cross-sectional study included 440 participants from two public hospitals in China. We collected data on social factors, FBG, and participant characteristics using electronic questionnaires, anthropometric measurements, and physical examination. The neighborhood environment features were measured using the geographic information systems (GIS) methods. Linear regression analysis was used to examine associations between neighborhood environment features and social factors and FBG. Results: This study found that marital status (married VS unmarried; β = 0.21, Conclusion: This study suggests that marital status, residential greenness, and densities of sports facility and residential housing are associated with FBG, and demonstrates potential interaction. Future research is necessary to further clarify these relationships and explore the underlying mechanisms.

Indexed as

blood glucoseinteractionneighborhood environmentsocial factors

Identifiers

PMID42582695
PMCPMC13458024

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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.