Evidence map›Paper›PMID 36051326›Full record

ArticleGlobal heart2022

Cardiovascular Health in India - a Report Card from Three Urban and Rural Surveys of 22,144 Adults.

Roopa Shivashankar, Kalpana Singh, Dimple Kondal, Ruby Gupta, Pablo Perel, Deksha Kapoor, Devraj Jindal, Sailesh Mohan, Rajendra Pradeepa, Prashant Jarhyan and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Global heart, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Roopa ShivashankarIndian Council of Medical Research (ICMR), New Delhi, IN.ORCID 0000-0002-4361-9423
Kalpana SinghCentre for Chronic Disease Control (CCDC), New Delhi, IN.ORCID 0000-0002-2273-5062
Dimple KondalCentre for Chronic Disease Control (CCDC), New Delhi, IN.ORCID 0000-0002-1417-9510
Ruby GuptaCentre for Chronic Disease Control (CCDC), New Delhi, IN.ORCID 0000-0002-8487-6004
Pablo PerelLondon School of Hygiene and Tropical Medicine (LSHTM), London, UK.ORCID 0000-0002-2342-301X
Deksha KapoorAll India Institute of Medical Sciences (AIIMS), New Delhi, IN.ORCID 0000-0001-9999-4153
Devraj JindalCentre for Chronic Disease Control (CCDC), New Delhi, IN.ORCID 0000-0003-2384-7354
Sailesh MohanCentre for Chronic Disease Control (CCDC), New Delhi, IN.ORCID 0000-0003-1853-3596
Rajendra PradeepaMadras Diabetes Research Foundation (MDRF), Chennai, IN.ORCID 0000-0002-4909-3733
Prashant JarhyanPublic Health Foundation of India (PHFI), New Delhi, IN.ORCID 0000-0002-5020-3995
Nikhil Srinivasapura VenkateshmurthyPublic Health Foundation of India (PHFI), New Delhi, IN.ORCID 0000-0003-4037-6371
Nikhil TandonAll India Institute of Medical Sciences (AIIMS), New Delhi, IN.ORCID 0000-0003-4604-1986
Viswanathan MohanMadras Diabetes Research Foundation (MDRF), Chennai, IN.ORCID 0000-0001-5038-6210
K M Venkat NarayanRollins School of Public Health & Emory Global Diabetes Research Center, Emory University, Atlanta, US.ORCID 0000-0001-8621-5405
Dorairaj PrabhakaranCentre for Chronic Disease Control (CCDC), New Delhi, IN.ORCID 0000-0002-3172-834X
Mohammed K AliRollins School of Public Health & Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, US.ORCID 0000-0001-7266-2503

Funding

Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
FIC NIH HHS R24 TW007988NHLBI NIH HHS HHSN268200900026C
6 · The paper itself

Abstract

Background: Markers of ideal cardiovascular health (CVH) predict cardiovascular events. We estimated the prevalence of ideal CVH markers in two levels of cities and villages in India. Methods: We did pooled analysis of individual-level data from three cross sectional surveys of adults ≥ 30 years over 2010-14 (CARRS: Centre for cArdiometabolic Risk Reduction in South Asia; UDAY and Solan Surveillance Study) representing metropolitan cities; smaller cities and rural areas in diverse locations of India. We defined ideal CVH using modified American Heart Association recommendations: not smoking, ≥ 5 servings of fruits and vegetables (F&V), high physical activity (PA), body mass index (BMI) <25 Kg/m Results: Of the total 22,144 participants, the prevalence of ideal CVH markers were: not smoking (76.7% [95% CI 76.1, 77.2]), consumed ≥5 F&V (4.2% [3.9, 4.5]), high PA (67.5% [66.8, 68.2]), optimum BMI (59.6% [58.9, 60.3]), ideal BP (34.5% [33.9, 35.2]), FPG (65.8% [65.1, 66.5]) and TC (65.4% [64.7, 66.1]). The mean number of ideal CVH metrics was 3.7(95% CI: 3.7, 3.8). Adjusted prevalence of good, moderate, and poor CVH, varied across settings: metropolitan (3.9%, 41.0%, and 55.1%), smaller cities (7.8%, 49.2%, and 43%), and rural (10.4%, 60.9%, and 28.7%) and across asset tertiles: Low (11.0%, 55.9%, 33.1%), Middle (6.3%, 52.2%, 41.5%), and High (5.0%, 46.4%, 48.7%), respectively. Conclusion: Achievement of ideal CVH varied, with higher prevalence in rural and lower asset tertiles. Multi-sectoral and targeted policy and program actions are needed to improve CVH in diverse contexts in India.

Indexed as

Cardiovascular DiseasesAdultBiomarkersBlood PressureBody Mass IndexCross-Sectional StudiesExerciseHealth StatusHumansRisk FactorsRural PopulationUnited StatesBiomarkersCardiovascular healthIndiaPopulation Surveysocioeconomic statusurban living

Identifiers

PMID36051326
PMCPMC9354560

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.