Evidence map›Paper›PMID 41669952›Full record

ArticleJournal of the American Heart Association2026

Prevalence and Trends in Cardiovascular Risk Factors Among Middle-Aged South Asian Adults Compared With Other Racial and Ethnic Groups in the United States: A Longitudinal Analysis of 2 Cohort Studies.

Havisha Pedamallu, Zeynab Aghabazaz, Nicola Lancki, Luis A Rodriguez, Juned Siddique, Meena Moorthy, Nilay S Shah, Norrina B Allen, Alka M Kanaya, Namratha R Kandula

Abstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Observational
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Havisha Pedamallu *Northwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID 0000-0002-1753-1153
Zeynab Aghabazaz *Northwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID 0000-0002-6812-5235
Nicola LanckiNorthwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID 0000-0003-4809-1960
Luis A RodriguezUniversity of San Francisco in California San Francisco California USA.ORCID 0000-0001-9694-6842
Juned SiddiqueNorthwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID 0000-0002-1501-4152
Meena MoorthyNorthwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID 0000-0002-5326-9412
Nilay S ShahNorthwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID 0000-0003-3519-8662
Norrina B AllenNorthwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID 0000-0002-6993-4384
Alka M KanayaUniversity of San Francisco in California San Francisco California USA.ORCID 0000-0002-8903-1457
Namratha R KandulaNorthwestern University Feinberg School of Medicine Chicago Illinois USA.ORCID 0000-0003-2570-3426

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Mediators of Atherosclerosis in South Asians Living in AmericaR01HL093009 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M. · 2010 to 2018
$5.4M
Mentoring in community engaged implementation research to reduce cardiovascular disparitiesK24HL155897 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KANDULA, NAMRATHA R · 2021 to 2025
$729k
NCRR NIH HHS UL1 RR024131NHLBI NIH HHS K24 HL155897NHLBI NIH HHS R01 HL093009NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

backgroundPeople of South Asian background have a high burden of atherosclerotic cardiovascular disease (ASCVD). Few studies have examined if US South Asian individuals develop atherosclerotic cardiovascular disease risk factors at younger ages compared with other racial and ethnic groups.

methodsLongitudinal data from all eligible participants (ie, those aged between 45 and 55 years at time of the baseline examination) in the MASALA (Mediators of Atherosclerosis in South Asians Living in America) and the MESA (Multi-Ethnic Study of Atherosclerosis) cohort studies were combined. Data from all available examination visits (2010-2018 in MASALA and 2000-2018 in MESA) were used to estimate prevalence and change in prevalence of clinical and behavioral risk factors at ages 45 and 55 years for each racial and ethnic group and by gender.

resultsAt age 45 years, South Asian individuals had the highest prevalence of prediabetes and hypertension compared with White, Chinese, and Hispanic individuals. South Asian men had a higher dyslipidemia prevalence than White, Chinese, and Black men, while South Asian women had a higher prevalence than Chinese and Black women. At age 55 years, South Asian adults had the highest estimated hazard probability of diabetes among all racial and ethnic groups. At an increased age, clinical risk factor prevalence increased in all racial and ethnic groups, diet quality improved, and the prevalence of no leisure-time exercise decreased (ie, exercise improved).

conclusionsSignificant differences in risk factor prevalence were observed in South Asian adults compared with other US racial and ethnic groups at age 45 years. Understanding trends in cardiovascular risk and protective factors across the life course can help improve prevention and treatment strategies.

Indexed as

Cardiovascular DiseasesEthnicityAge FactorsAsia, SouthernFemaleHeart Disease Risk FactorsHumansLongitudinal StudiesMaleMiddle AgedPrevalenceRisk AssessmentRisk FactorsSouth Asian PeopleUnited Statescohort studiesheart disease risk factorsminority health

Identifiers

PMID41669952
PMCPMC13055708

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LicenceCC BY-NC-ND
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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.