Evidence map›Paper›PMID 25088683›Full record

ArticleInternational journal of stroke : official journal of the International Stroke Society2015

Neighborhood socioeconomic status and the prevalence of stroke and coronary heart disease in rural China: a population-based study.

Xun Tang, Daniel T Laskowitz, Liu He, Truls Østbye, Janet Prvu Bettger, Yang Cao, Na Li, Jingrong Li, Zongxin Zhang, Jianjiang Liu and 4 more

Open access · greenAbstract read
In one paragraph

Article in International journal of stroke : official journal of the International Stroke Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

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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

14 authors at 6 institutions in 2 countries.

Xun TangDepartment of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China.
Daniel T Laskowitz
Liu He
Truls Østbye
Janet Prvu Bettger
Yang Cao
Na Li
Jingrong Li
Zongxin Zhang
Jianjiang Liu
Liping Yu
Haitao Xu
Yonghua Hu
Larry B Goldstein
Beijing Municipal Health Bureau · CNDuke Medical Center · USChinese Center For Disease Control and Prevention · CNPeking University · CNPeking University First Hospital · CNClinical Research Institute · US

Funding

Iowa Non-communicable Chronic Diseases Research Training Program in RomaniaD43TW008308 · FIC · UNIVERSITY OF IOWA · PI FUORTES, LAURENCE JULIUS · 2010 to 2014
$1.2M
Training for the Prevention and Treatment of Stroke in ChinaD43TW008303 · FIC · DUKE UNIVERSITY · PI LASKOWITZ, DANIEL T · 2010 to 2014
$703k
FIC NIH HHS D43 TW008303FIC NIH HHS D43 TW008308FIC NIH HHS NIH 1D43-TW008303-01A1
6 · The paper itself

Abstract

backgroundLower neighborhood-level socioeconomic status (SES) is associated with an increased risk of vascular disease in developed countries.

aimsThis study aims to identify village- and individual-level determinants of stroke and coronary heart disease (CHD) in a rural Chinese population.

methodsWe analyzed data from a population-based survey of 14,424 rural Chinese adults aged over 40 years from 54 villages. Primary outcomes were stroke and coronary heart disease (CHD) prevalence. Village-level SES was determined from the Chinese government's official statistical yearbook. Individual-level characteristics were obtained by in-person interviews. Prevalence rate ratios (RRs) and 95% confidence intervals (95% CIs) were calculated using generalized linear mixed models with log-link function to explore associations of village-level SES and individual social, demographic, and cardiovascular risk factors with stroke or CHD. Variance was expressed using the median rate ratio (MRR) and interval rate ratio (IRR).

resultsVillage accounted for significant variability in the prevalence of stroke (MRR = 1.70; 95% CI: 1.42-1.94; P < 0.05) and CHD (MRR = 1.59; 95% CI: 1.35-1.78, P < 0.05), with village-level income alone accounting for 10% and 13.5% of between-village variation in stroke and CHD, respectively. High-income villages were at higher risk of both stroke (RR = 1.69, 95% CI: 1.09-2.62) and CHD (RR = 1.63, 95% CI: 1.13-2.34) than lower-income villages. Among individual-level risk factors, hypertension was associated with a higher prevalence of stroke (RR = 2.33, 95% CI: 1.93-2.80) than CHD (RR = 1.58, 95% CI: 1.38-1.82), whereas obesity was only associated with CHD (RR = 1.43, 95% CI: 1.23-1.66). In addition, there was an interaction between age and income; residents of higher-income villages below age 60 had a higher prevalence of CHD (RR = 1.58, 95% CI: 1.15-2.18) but not stroke.

conclusionsThere were differences in vascular risk across rural villages in China, with higher lifetime stroke and CHD prevalence in higher-income villages. For CHD, neighborhood effects were stronger among younger residents of high-income villages. The results may have implications for public health interventions targeting populations at risk.

Indexed as

Social ClassAdultAgedAnalysis of VarianceChinaCommunity Health PlanningCoronary DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceResidence CharacteristicsRisk FactorsRural Populationcardiovascular risk factorsChinacoronary heart diseaseneighborhood effectsstroke

Identifiers

PMID25088683
PMCPMC4317392
OpenAlexW2081615103

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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.