Evidence map›Paper›PMID 38287240›Full record

ArticleBMC geriatrics2024

Association between residential proximity to major roadways and chronic multimorbidity among Chinese older adults: a nationwide cross-sectional study.

Xuange Sun, Xu Liu, Xue Wang, Chang Pang, Zhihua Yin, Shuang Zang

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

6 authors.

Xuange Sun *Department of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, 110122, Shenyang, Liaoning Province, China.ORCID 0009-0006-2985-1919
Xu Liu *Department of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, 110122, Shenyang, Liaoning Province, China.ORCID 0009-0001-9075-6076
Xue WangDepartment of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, 110122, Shenyang, Liaoning Province, China.ORCID 0000-0002-0371-4004
Chang PangDepartment of General Practice, The Second Affiliated Hospital of Shenyang Medical College, No.20 Bei Jiu Road, Heping District, 110002, Shenyang, Liaoning Province, China.ORCID 0000-0001-6865-4981
Zhihua YinDepartment of epidemiology, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, 110122, Shenyang, Liaoning Province, China.ORCID 0000-0002-7209-7046
Shuang ZangDepartment of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, 110122, Shenyang, Liaoning Province, China. zangshuang@cmu.edu.cn.ORCID 0000-0001-7814-8011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple negative health outcomes were linked to residential proximity to major roadways. Nevertheless, there is limited knowledge regarding the association between residential proximity to major roadways and chronic multimorbidity.

methodsWe used data from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey, which included 12,214 individuals aged ≥ 60. We derived the residential proximity to major roadways from self-reported data, defining chronic multimorbidity as the presence of two or more concurrent chronic diseases. A binary logistic regression model was utilized to investigate the association between residential proximity to major roadways and chronic multimorbidity. The model accounted for some demographic features, socioeconomic conditions, social participation, and health conditions. Subsequently, we conducted subgroup analyses to examine potential interaction effects.

resultsResidential proximity to major roadways was associated with chronic multimorbidity, even after adjusting for confounding factors. Compared with those living > 300 m from major roadways, the OR for those living 201-300 m, 101-200 m, 50-100 m, and < 50 m were increased. When subgroup analyses were conducted using a cutoff point of 200 m, the risk of chronic multimorbidity associated with residential proximity to major roadways was stronger in participants with education levels > 6 years (P = 0.017).

conclusionOur findings provide important implications for improving residential area siting, transportation policies, and environmental regulations to reduce the risk of chronic multimorbidity caused by traffic-related exposure.

Indexed as

MultimorbidityVehicle EmissionsAgedChinaCross-Sectional StudiesHumansLogistic ModelsVehicle EmissionsChronic diseaseCLHLSMajor roadwayMultimorbidityOlder adultsTraffic exposure

Identifiers

PMID38287240
PMCPMC10826232

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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.