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

Abstract Background South 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 p...

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Main Authors: 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, Soniya Pun, Man Hin Chio, Eliza Lai-Yi Wong, Dong Dong, Eng-Kiong Yeoh
Format: Article
Language:English
Published: BMC 2025-01-01
Series:International Journal for Equity in Health
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Online Access:https://doi.org/10.1186/s12939-025-02376-8
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author 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
Soniya Pun
Man Hin Chio
Eliza Lai-Yi Wong
Dong Dong
Eng-Kiong Yeoh
author_facet 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
Soniya Pun
Man Hin Chio
Eliza Lai-Yi Wong
Dong Dong
Eng-Kiong Yeoh
author_sort Gary Ka-Ki Chung
collection DOAJ
description Abstract Background South 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. Methods Between 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. Results Five 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. Conclusion This 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.
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institution Kabale University
issn 1475-9276
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series International Journal for Equity in Health
spelling doaj-art-82be3387829f4a4c8f1fa1181024266e2025-01-19T12:14:18ZengBMCInternational Journal for Equity in Health1475-92762025-01-0124111010.1186/s12939-025-02376-8Cardiovascular risk profiling among South Asian adults in Hong Kong: a latent class analysisGary Ka-Ki Chung0Woohyung Lee1Danna Camille Vargas2Bulbul Sharma3Kai Sing Sun4Heidi Hung5Lee Sha Tong6Tsz Lui Tang7Hasiba Munir8Chi Yui Wong9Soniya Pun10Man Hin Chio11Eliza Lai-Yi Wong12Dong Dong13Eng-Kiong Yeoh14JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongJC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong KongAbstract Background South 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. Methods Between 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. Results Five 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. Conclusion This 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.https://doi.org/10.1186/s12939-025-02376-8South AsianCardiovascular riskObesityLatent class analysisDemographicSocioeconomic
spellingShingle 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
Soniya Pun
Man Hin Chio
Eliza Lai-Yi Wong
Dong Dong
Eng-Kiong Yeoh
Cardiovascular risk profiling among South Asian adults in Hong Kong: a latent class analysis
International Journal for Equity in Health
South Asian
Cardiovascular risk
Obesity
Latent class analysis
Demographic
Socioeconomic
title Cardiovascular risk profiling among South Asian adults in Hong Kong: a latent class analysis
title_full Cardiovascular risk profiling among South Asian adults in Hong Kong: a latent class analysis
title_fullStr Cardiovascular risk profiling among South Asian adults in Hong Kong: a latent class analysis
title_full_unstemmed Cardiovascular risk profiling among South Asian adults in Hong Kong: a latent class analysis
title_short Cardiovascular risk profiling among South Asian adults in Hong Kong: a latent class analysis
title_sort cardiovascular risk profiling among south asian adults in hong kong a latent class analysis
topic South Asian
Cardiovascular risk
Obesity
Latent class analysis
Demographic
Socioeconomic
url https://doi.org/10.1186/s12939-025-02376-8
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