Evidence map›Paper›PMID 30131504›Full record

ArticleScientific reports2018

Limited contribution of health behaviours to expanding income-related chronic disease disparities based on a nationwide cross-sectional study in China.

Qing Wang, Jay J Shen, Kaitlyn Frakes

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 16 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

3 authors at 2 institutions in 2 countries.

Qing WangSchool of business, Dalian University of Technology, Panjin, 124221, Liaoning, China. wangqing1984@126.com.
Jay J ShenDepartment of Health Care Administration and Policy, School of Community Health Sciences, University of Nevada Las Vegas, 4505 Maryland Parkway, Las Vegas, NV, 89154-3023, USA.
Kaitlyn FrakesDepartment of Health Care Administration and Policy, School of Community Health Sciences, University of Nevada Las Vegas, 4505 Maryland Parkway, Las Vegas, NV, 89154-3023, USA.
University of Nevada, Las Vegas · USDalian University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study estimated the association of income and prevalence of cardiovascular diseases (CVD) and hypertension, and then quantified the contribution of health behaviors to the association in China. Using the 2013 survey of the China Health and Retirement Longitudinal Study (CHARLS), a logit model was applied to examine income-related health disparities in relation to CVD and hypertension. A four-step regression method was then constructed to measure the role of health behaviors in income-related health disparities. Using indirect effects, mediation by health behaviors was examined. Income-related health disparities in chronic diseases were found to exist in China. Specifically, individuals in the high-income group had a 14% (OR = 0.86; 95% CI 0.73-1.02) and 14% (OR = 0.86; 95% CI 0.76-0.97) lower odds of suffering from CVD and hypertension than those in the low-income group. However, limited evidence shows this association was mediated by health behaviors. The Heaviness of Smoking Index (HSI), heavy drinking, irregular eating, and nap time did not significantly mediate the association of income and prevalence of CVD and hypertension. To curb the rising prevalence of CVD and hypertension in China, policies should focus on the low-income subpopulation. However, healthy behaviors interventions targeting smoking, heavy drinking, unhealthy napping and irregular eating habits among low-income people may be ineffective in reduction of income-related disparities in prevalence of CVD and hypertension.

Indexed as

AgedCardiovascular DiseasesChinaChronic DiseaseCross-Sectional StudiesFemaleHealth BehaviorHealthcare DisparitiesHealth Knowledge, Attitudes, PracticeHumansHypertensionLongitudinal StudiesMaleMiddle AgedPrevalenceRegression Analysis

Identifiers

PMID30131504
PMCPMC6104030
OpenAlexW2887145613

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.