Evidence map›Paper›PMID 28756464›Full record

ArticleInternational journal of public health2017

Socioeconomic patterning of chronic conditions and behavioral risk factors in rural South Asia: a multi-site cross-sectional study.

Nandita Bhan, Christopher Millett, S V Subramanian, Amit Dias, Dewan Alam, Joseph Williams, Preet K Dhillon

Abstract readMulticenter Study
PubMed Publisher
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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  7. Population estimates, consequences, and risk factors of obesity among pregnant and postpartum women in India: Results from a national survey and policy recommendations.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2020
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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

7 authors.

Nandita BhanPublic Health Foundation of India, Gurgaon, India. nab289@mail.harvard.edu.
Christopher MillettPublic Health Foundation of India, Gurgaon, India.
S V SubramanianDepartment of Social & Behavioral Sciences, Harvard TH Chan School of Public Health, Harvard University, Boston, USA.
Amit DiasDepartment of Preventive Medicine, Goa Medical College and Sangath, Goa, India.
Dewan AlamSchool of Kinesiology & Health Sciences, York University, Toronto, Canada.
Joseph WilliamsVoluntary Health Services, Chennai, India.
Preet K DhillonCentre for Control of Chronic Conditions, Public Health Foundation of India, Gurgaon, India.

Funding

Department of Health RP_2014-04-032
6 · The paper itself

Abstract

objectivesOur aim was to examine relationships between markers of socioeconomic status and chronic disease risks in rural South Asia to understand the etiology of chronic diseases in the region and identify high-risk populations.

methodsWe examined data from 2271 adults in Chennai, Goa and Matlab sites of the Chronic Disease Risk Factor study in South Asia. We report age-sex adjusted odds ratios for risk factors (tobacco, alcohol, fruit-vegetable use and physical activity) and common chronic conditions (hypertension, diabetes, overweight, depression, impaired lung and vision) by education, occupation and wealth.

resultsRespondents with greater wealth and in non-manual professions were more likely to be overweight [OR = 2.48 (95% CI 1.8,3.38)] and have diabetes [OR = 1.88 (95% CI 1.02,3.5)]. Wealth and education were associated with higher fruit and vegetable [OR = 1.89 (95% CI 1.48,2.4)] consumption but lower physical activity [OR = 0.52 (95% CI 0.39,0.69)]. Non-manual workers reported lower tobacco and alcohol use, while wealthier respondents reported better vision and lung function.

conclusionsOngoing monitoring of inequalities in chronic disease risks is needed for planning and evaluating interventions to address the growing burden of chronic conditions.

Indexed as

Health Risk BehaviorsHealth Status DisparitiesRural PopulationSocial ClassAdolescentAdultAsiaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsYoung AdultBehavioral risk factorsChronic diseasesSocioeconomic inequalitiesSocioeconomic statusSouth Asia

Identifiers

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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.