Evidence map›Paper›PMID 33198728›Full record

ArticleBMC public health2020

Neighborhood's locality, road types, and residents' multimorbidity: evidence from China's middle-aged and older adults.

Xuexin Yu, Wei Zhang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Xuexin YuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610040, Sichuan, China.
Wei ZhangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610040, Sichuan, China. weizhanghx@163.com.
Sichuan University · CN

Funding

Health and Family Planning Commission of Sichuan Province 19PJ248National Development and Reform Commission 2018GFGW001
6 · The paper itself

Abstract

backgroundNeighborhood factors have gained increasing attention, while the association between the neighborhood's characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types.

methodsThe present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively.

resultsFirst, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95-1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78-0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63-0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55-0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51-0.89), digestive disease (OR = 0.82, 95% CI, 0.69-0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55-0.87), and asthma (OR = 0.67, 95% CI, 0.51-0.88).

conclusionsUrban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

Indexed as

Health Status DisparitiesMultimorbidityAgedChinaCross-Sectional StudiesEnvironment DesignFemaleHealth SurveysHumansLongitudinal StudiesMaleMiddle AgedNoncommunicable DiseasesResidence CharacteristicsRural HealthUrban HealthMiddle-agedMultimorbidityNeighborhoodNon-communicable chronic diseaseOlder adultsUrban-rural disparitiesWalkability

Identifiers

PMID33198728
PMCPMC7670703
OpenAlexW3102204840

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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.