Evidence map›Paper›PMID 36918271›Full record

ArticleJournal of epidemiology and community health2023

Couple concordance in diabetes, hypertension and dyslipidaemia in urban India and Pakistan and associated socioeconomic and household characteristics and modifiable risk factors.

Jannie Nielsen, Roopa Shivashankar, Solveig A Cunningham, Dorairaj Prabhakaran, Nikhil Tandon, Viswanathan Mohan, Romaina Iqbal, Km Venkat Narayan, Mohammed K Ali, Shivani Anil Patel

Open access · greenAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-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

7 citing papers in PubMed, 10 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

10 authors at 7 institutions in 4 countries.

Jannie NielsenEmory Global Diabetes Research Center, Hubert Department of GlobalHealth, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA Jannie.nielsen@emory.edu.ORCID 0000-0003-4897-8705
Roopa ShivashankarDivision of Non Communicable Diseases', Indian Council of Medical Research, New Delhi, India.
Solveig A CunninghamEmory Global Diabetes Research Center, Hubert Department of GlobalHealth, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Dorairaj PrabhakaranCentre for Chronic Disease Control, New Delhi, India.ORCID 0000-0002-3172-834X
Nikhil TandonDepartment of Endocrinology, Metabolism & Diabetes, All India Institute of Medical Sciences, New Delhi, India.
Viswanathan MohanEpidemiology & Diabetology, Madras Diabetes Research Foundation & Dr.Mohan's Diabetes Specialities Centre, Chennai, Tamilnadu, India.
Romaina IqbalDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
Km Venkat NarayanEmory Global Diabetes Research Center, Hubert Department of GlobalHealth, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Mohammed K AliEmory Global Diabetes Research Center, Hubert Department of GlobalHealth, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Shivani Anil PatelEmory Global Diabetes Research Center, Hubert Department of GlobalHealth, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Emory University · USAga Khan University · PKAll India Institute of Medical Sciences · INCentre for Chronic Disease Control · INIndian Council of Medical Research · INMadras Diabetes Research Foundation · INUniversity of Copenhagen · DK

Funding

Spousal Influences on Subclinical and Clinical Vascular and Myocardial DiseaseP01HL154996 · NHLBI · EMORY UNIVERSITY · PI Kabayam M Venkat Narayan, ARSHED A QUYYUMI · 2022 to 2026
$13.4M
Integrated Tracking, Referral, and Algorithmic Management (I-TREC) System for Hypertension and DiabetesU01HL138635 · NHLBI · ALL-INDIA INSTITUTE OF MEDICAL SCIENCES · PI TANDON, NIKHIL · 2017 to 2021
$1.3M
Interdisciplinary research training: NCD epidemiology and prevention in IndiaD43HD065249 · NICHD · CENTRE FOR CHRONIC DISEASE CONTROL · PI NARAYAN, KABAYAM M VENKAT, TANDON, NIKHIL · 2009 to 2013
$1.2M
NHLBI NIH HHS HHSN268200900026CNHLBI NIH HHS P01 HL154996NHLBI NIH HHS U01 HL138635NICHD NIH HHS D43 HD065249Wellcome TrustWellcome Trust WT084754/Z/08/A
6 · The paper itself

Abstract

backgroundConcordance in chronic disease status has been observed within couples. In urban India and Pakistan, little is known about couple concordance in diabetes, hypertension, and dyslipidaemia and associated socioeconomic characteristics and modifiable risk factors.

methodsWe analysed cross-sectional data from 2548 couples from the Centre for cArdio-metabolic Risk Reduction in South Asia cohort in Chennai, Delhi and Karachi. We estimated couple concordance in presence of ≥1 of diabetes, hypertension and dyslipidaemia (positive concordance: both spouses (W+H+); negative concordance: neither spouse (W-H-); discordant wife: only wife (W+H-); or discordant husband: only husband (W-H+)). We assessed associations of five socioeconomic and household characteristics, and six modifiable risk factors with couple concordance using multinomial logistic regression models with couples as the unit of analysis (reference: W-H-).

resultsOf the couples, 59.4% (95% CI 57.4% to 61.3%) were concordant in chronic conditions (W+H+: 29.2% (95% CI 27.4% to 31.0%); W-H-: 30.2% (95% CI 28.4%- to 32.0%)); and 40.6% (95% CI 38.7% to 42.6%) discordant (W+H-: 13.1% (95% CI 11.8% to 14.4%); W-H+: 27.6% (95% CI 25.9% to 29.4%)). Compared with couples with no conditions (W-H-), couples had higher relative odds of both having at least one condition if they had higher versus lower levels of: income (OR 2.03 (95% CI 1.47 to 2.80)), wealth (OR 2.66 (95% CI 1.98 to 3.58)) and education (wives' education: OR 1.92 (95% CI 1.29 to 2.86); husbands' education: OR 2.98 (95% CI 1.92 to 4.66)) or weight status (overweight or obesity in both spouses ORs 7.17 (95% CI 4.99 to 10.30)).

conclusionsPositive couple concordance in major chronic conditions is high in urban India and Pakistan, especially among couples with relatively higher socioeconomic position. This suggests that prevention and management focusing on couples at high risk for concordant chronic conditions may be effective and more so in higher socioeconomic groups.

Indexed as

Diabetes MellitusDyslipidemiasHypertensionChronic DiseaseCross-Sectional StudiesHumansIndiaPakistanRisk FactorsSocioeconomic FactorsSpousesCHRONIC DIEPIDEMIOLOGYPUBLIC HEALTHSOCIAL CLASS

Identifiers

PMID36918271
PMCPMC11771309
OpenAlexW4324136375

What OpenQuestion holds

Textmetadata
LicenceTDM
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.