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Regional and socio-demographic variation in laboratory-based predictions of 10-year cardiovascular disease risk among adults in north and south India.
Chaudhary, Richard S; Srinivasapura Venkateshmurthy, Nikhil; Dubey, Manisha; Jarhyan, Prashant; Prabhakaran, Dorairaj; Mohan, Sailesh.
Afiliación
  • Chaudhary RS; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. Electronic address: rchaudh2@bidmc.harvard.edu.
  • Srinivasapura Venkateshmurthy N; Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India.
  • Dubey M; Centre for Chronic Disease Control, New Delhi, India.
  • Jarhyan P; Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India.
  • Prabhakaran D; Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India; London School of Hygiene and Tropical Medicine, London, UK.
  • Mohan S; Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India; Deakin University, Burwood, VIC, Australia.
Indian Heart J ; 2024 Jul 16.
Article en En | MEDLINE | ID: mdl-39025430
ABSTRACT

OBJECTIVE:

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in India. There is no laboratory-based CVD risk data among Indians from different regions and backgrounds. This study estimated laboratory-based 10-year CVD risk across different population sub-groups.

METHODS:

Data from UDAY derived from cross-sectional surveys of rural and urban populations of northern (Haryana) and southern (Andhra Pradesh) India were analysed. World Health Organization/International Society of Hypertension laboratory-based equations calculated 10-year CVD risk among participants without CVD history. Wilcoxon rank sum test analyzed average CVD risk across subgroups. Chi-square test compared population proportions in different CVD risk categories. Regression analysis assessed the association between CVD risk and participant characteristics.

RESULTS:

The mean (SD) age of the participants (n = 8448) was 53.2 (9.2) years. Males in Haryana had increased CVD risk compared to those in Andhra Pradesh (p < 0.01). In both states, female gender was shown to have a protective effect on CVD risk (p < 0.01). Age correlated with increased risk (p < 0.01). Education level did not affect CVD risk however employment status may have. Hypertension, diabetes, hyperlipidemia, smoking, and insufficient exercise were associated with increased CVD risk (p < 0.01). Residence (urban versus rural) and wealth index did not largely affect CVD risk.

CONCLUSION:

Minor differences exist in the distribution of laboratory-based CVD risk across Indian population cohorts. CVD risk was similar in urban wealthy participants and rural poor and working-class communities in northern and southern India. Public health efforts need to target all major segments of the Indian population to curb the CVD epidemic.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Indian Heart J Año: 2024 Tipo del documento: Article Pais de publicación: India
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Indian Heart J Año: 2024 Tipo del documento: Article Pais de publicación: India