Evidence map›Paper›PMID 39825358›Full record

ArticleInternational journal for equity in health2025

Cardiovascular risk profiling among South Asian adults in Hong Kong: a latent class analysis.

Gary Ka-Ki Chung, Woohyung Lee, Danna Camille Vargas, Bulbul Sharma, Kai Sing Sun, Heidi Hung, Lee Sha Tong, Tsz Lui Tang, Hasiba Munir, Chi Yui Wong and 5 more

Abstract read
In one paragraph

Article in International journal for equity in health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Gary Ka-Ki ChungJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Woohyung LeeJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Danna Camille VargasJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Bulbul SharmaJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Kai Sing SunJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Heidi HungJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Lee Sha TongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Tsz Lui TangJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Hasiba MunirJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Chi Yui WongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Soniya PunJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Man Hin ChioJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Eliza Lai-Yi WongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Dong DongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China. dongdong@cuhk.edu.hk.
Eng-Kiong YeohJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.

Funding

The Hong Kong Jockey Club Charities Trust 2021/0387
6 · The paper itself

Abstract

backgroundSouth Asians living in urbanized settings are facing disproportionate cardiovascular burden largely attributable to modifiable risk factors. Given the rapid surge in South Asian population in Hong Kong, this study aims to identify and distinguish clusters of cardiovascular risk profiles among community-dwelling South Asian adults.

methodsBetween June 2022 and December 2023, 1181 South Asian adults were recruited through territory-wide outreach health assessments on lifestyle, psychological distress, obesity, clinical cardiovascular conditions, and sociodemographic factors. Latent class analysis was performed to classify the cardiovascular profiles, followed by multinomial logistic regression to identify the sociodemographic characteristics across classes.

resultsFive latent classes were identified: low risk (19.6%), lifestyle risk plus distress (8.9%), obesity risk (33.4%), lifestyle risk plus distress with obesity (26.6%), and high clinical risk (11.4%). Apart from the higher clinical risk in older adults, women tended to cluster into classes with obesity, while men and the economically active were more likely in classes with poorer lifestyles and stress. Pakistani and Nepalese consistently exhibited higher risks compared to Indians, whereas the less educated tended to cluster into the high clinical risk class.

conclusionThis study revealed distinct cardiovascular risk patterns and sociodemographic features within the South Asian community in Hong Kong. The heavy burden on obesity especially in women, lifestyle and psychological risks especially in men, and low overall physical activity level may be translated into a tremendous cardiovascular disease burden in the forthcoming decades, in particular among Pakistani and Nepalese as well as the socioeconomically disadvantaged.

Indexed as

Cardiovascular DiseasesHeart Disease Risk FactorsSouth Asian PeopleAdultAgedFemaleHong KongHumansLatent Class AnalysisLife StyleMaleMiddle AgedObesityRisk FactorsSocioeconomic FactorsCardiovascular riskCommunity screeningDemographicLatent class analysisObesitySocioeconomicSouth Asian

Identifiers

PMID39825358
PMCPMC11740419

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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.