Evidence map›Paper›PMID 32223389›Full record

ArticleJournal of the American Heart Association2020

Hypertension in Rural India: The Contribution of Socioeconomic Position.

Amanda G Thrift, Rathina Srinivasa Ragavan, Michaela A Riddell, Rohina Joshi, K R Thankappan, Clara Chow, Brian Oldenburg, Ajay S Mahal, Kartik Kalyanram, Kamakshi Kartik and 10 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  13. Hypertension in Rural India: The Contribution of Socioeconomic Position.Journal of the American Heart Association · 2020
    Article
  14. Observational
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

20 authors at 10 institutions in 5 countries.

Amanda G ThriftSchool of Clinical Sciences at Monash Health Monash University Melbourne Australia.
Rathina Srinivasa RagavanSchool of Clinical Sciences at Monash Health Monash University Melbourne Australia.
Michaela A RiddellSchool of Clinical Sciences at Monash Health Monash University Melbourne Australia.
Rohina JoshiThe George Institute for Global Health University of New South Wales Australia.
K R ThankappanAchutha Menon Centre for Health Science Studies Sree Chitra Tirunal Institute for Medical Sciences and Technology Trivandrum Kerala, India.
Clara ChowThe George Institute for Global Health University of New South Wales Australia.
Brian OldenburgMelbourne School of Population and Global Health University of Melbourne Carlton Australia.
Ajay S MahalSchool of Public Health and Preventative Medicine Monash University Melbourne Australia.
Kartik KalyanramRishi Valley Rural Health Centre Chittoor District Andhra Pradesh India.
Kamakshi KartikRishi Valley Rural Health Centre Chittoor District Andhra Pradesh India.
Oduru SureshSchool of Clinical Sciences at Monash Health Monash University Melbourne Australia.
G K MiniAchutha Menon Centre for Health Science Studies Sree Chitra Tirunal Institute for Medical Sciences and Technology Trivandrum Kerala, India.
Jordan IsmailSchool of Clinical Sciences at Monash Health Monash University Melbourne Australia.
Dilan Giguruwa GamageSchool of Clinical Sciences at Monash Health Monash University Melbourne Australia.
Aniqa HasanSchool of Clinical Sciences at Monash Health Monash University Melbourne Australia.
Velandai K SrikanthPeninsula Clinical School Central Clinical School Monash University Frankston Australia.
Nihal ThomasDepartment of Endocrinology, Diabetes and Metabolism Christian Medical College Vellore Tamil Nadu India.
Pallab K MaulikGeorge Institute for Global Health New Delhi India.
Rama K GuggillaDepartment of Population Medicine and Civilization Diseases Prevention Faculty of Medicine With the Division of Dentistry and Division of Medical Education in English Medical University of Bialystok Bialystok Poland.
Roger G EvansCardiovascular Disease Program Biomedicine Discovery Institute, and Department of Physiology Monash University Melbourne Australia.
Monash Health · AUSree Chitra Thirunal Institute for Medical Sciences and Technology · INThe University of Melbourne · AUChristian Medical College, Vellore · INDiscovery Institute · USMedical University of Białystok · PLPeninsula Health · AUThe George Institute for Global Health · AUThe George Institute for Global Health · GBWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Various indicators of socioeconomic position (SEP) may have opposing effects on the risk of hypertension in disadvantaged settings. For example, high income may reflect sedentary employment, whereas greater education may promote healthy lifestyle choices. We assessed whether education modifies the association between income and hypertension in 3 regions of South India at different stages of epidemiological transition. Methods and Results Using a cross-sectional design, we randomly selected villages within each of rural Trivandrum, West Godavari, and Rishi Valley. Sampling was stratified by age group and sex. We measured blood pressure and anthropometry and administered a questionnaire to identify lifestyle factors and SEP, including education, literacy, and income. Logistic regression was used to assess associations between various components of SEP and hypertension, and interaction analyses were used to determine whether educational attainment modified the association between income and hypertension. Trivandrum, the region of highest SEP, had the greatest prevalence of hypertension, whereas Rishi Valley, the lowest SEP region, had the least. Overall, greater income was associated with greater risk of hypertension. In interaction analyses, there was no evidence that educational attainment modified the association between income and hypertension. Conclusions Education is widely considered to ameliorate the risk of hypertension in high-income countries. Why this effect is absent in rural India merits investigation.

Indexed as

Rural HealthSocial ClassSocial Determinants of HealthAdolescentAdultAgedBlood PressureCross-Sectional StudiesEducational StatusFemaleHealth SurveysHumansHypertensionIncomeIndiaMaleeducationlifestylelow‐to‐middle incomerisk factorssocioeconomic position

Identifiers

PMID32223389
PMCPMC7428634
OpenAlexW3013805662

What OpenQuestion holds

Textmetadata
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.