Evidence map›Paper›PMID 28401249›Full record

ArticleInternational journal of public health2017

Socioeconomic gradients of cardiovascular risk factors in China and India: results from the China health and retirement longitudinal study and longitudinal aging study in India.

Peifeng Hu, Serena Wang, Jinkook Lee

Abstract read
In one paragraph

Article in International journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Hypertension and Cognitive Health Among Older Adults in India.Journal of the American Geriatrics Society · 2020
    Article
  10. Article
  11. Article
  12. Review
  13. 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

3 authors.

Peifeng HuDivision of Geriatric Medicine, David Geffen School of Medicine at UCLA, 10945 Le Conte Avenue, Suite 2339, Los Angeles, CA, 90095-1687, USA. phu@mednet.ucla.edu.
Serena WangCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Jinkook LeeCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
Longitudinal Aging Biomarker Study in India (LASI-Biomarkers)R21AG034443 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI BLOOM, DAVID E, HU, PEIFENG · 2011 to 2012
$392k
NIA NIH HHS 1R21 AG034443NIA NIH HHS P30 AG017265NIA NIH HHS R01 AG030153NIA NIH HHS R21 AG034443
6 · The paper itself

Abstract

objectivesCardiovascular disease has become a major public health challenge in developing countries. The goal of this study is to compare socioeconomic status (SES) gradients of cardiovascular risk factors (CVRF) both within and between China and India.

methodsWe used multivariable logistic regression models to examine the associations between SES and CVRF, using data from the China health and retirement longitudinal study and the longitudinal aging study in India.

resultsThe results showed that, compared to illiteracy, the odds ratios of completing junior high school for high-risk waist circumference were 4.99 (95% confidence interval: 1.77-14.06) among Indian men, 3.42 (95% confidence interval: 1.66-7.05) among Indian women, but 0.74 (95% confidence interval: 0.59-0.92) among Chinese women. Similar patterns were observed between educational attainment and high-risk body mass index, and between education and hypertension, based on self-reported physician diagnosis and direct blood pressure measurements.

conclusionsSES is associated with CVRF in both China and India. However, this relationship showed opposite patterns across two countries, suggesting that this association is not fixed, but is subjective to underlying causal pathways, such as patterns of risky health behaviors and different social and health policies.

Indexed as

Health Status DisparitiesSocial ClassAgedCardiovascular DiseasesChinaFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedRisk FactorsAgingCardiovascular risk factorChinaIndiaSocioeconomic status

Identifiers

PMID28401249
PMCPMC5940550

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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.