ArticleBioMed research international2015
Body composition indices and predicted cardiovascular disease risk profile among urban dwellers in Malaysia.
Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- The long term association of nine anthropometric obesity indices with cardiovascular diseases and mortality.Scientific reports · 2025Article
- Comparative Analysis of Waist-Height Ratio and Heart Rate Recovery for Predicting Coronary Heart Disease Risk Among Working Malaysian Women.International journal of women's health · 2025Article
- Anthropometric indices in predicting 10-year cardiovascular risk among males and females aged 40-74 years in south and southeast Asia: analysis of 12 WHO STEPS survey data.The Lancet regional health. Southeast Asia · 2024Article
- Associations between body composition and cardiovascular disease risk in pre- and postmenopausal women.Journal of health, population, and nutrition · 2023Article
- Article
- Risk factors for hypertension and diabetes comorbidity in a Korean population: A cross-sectional study.PloS one · 2022Article
- An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1.BMC public health · 2021Article
- Comparison of anthropometric indices as predictors of the risk factors for cardiovascular disease in Iran: The PERSIAN Guilan Cohort Study.Anatolian journal of cardiology · 2021Article
- Cardiovascular Risk in Women Deprived of Freedom from a Public Prison in Mato Grosso, Brazil.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2020Article
- Skinfold thickness and the incidence of type 2 diabetes mellitus and hypertension: an analysis of the PERU MIGRANT study.Public health nutrition · 2020Article
- Comparative Abilities of Body Mass Index, Waist Circumference, Abdominal Volume Index, Body Adiposity Index, and Conicity Index as Predictive Screening Tools for Metabolic Syndrome among Apparently Healthy Ghanaian Adults.Journal of obesity · 2019Article
- Cardiovascular Risk Assessed by Reynolds Risk Score in Relation to Waist Circumference in Apparently Healthy Middle-Aged Population in Montenegro.Acta clinica Croatica · 2018Article
- The association between various indices of obesity and severity of atherosclerosis in adults in the north of Iran.Medicine · 2016Article
- Body composition, nutritional status, and endothelial function in physically active men without metabolic syndrome--a 25 year cohort study.Lipids in health and disease · 2016Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aims to compare various body composition indices and their association with a predicted cardiovascular disease (CVD) risk profile in an urban population in Kuala Lumpur, Malaysia.
methodsA cross-sectional survey was conducted in metropolitan Kuala Lumpur, Malaysia, in 2012. Households were selected using a simple random-sampling method, and adult members were invited for medical screening. The Framingham Risk Scoring algorithm was used to predict CVD risk, which was then analyzed in association with body composition measurements, including waist circumference, waist-hip ratio, waist-height ratio, body fat percentage, and body mass index.
resultsAltogether, 882 individuals were included in our analyses. Indices that included waist-related measurements had the strongest association with CVD risk in both genders. After adjusting for demographic and socioeconomic variables, waist-related measurements retained the strongest correlations with predicted CVD risk in males. However, body mass index, waist-height ratio, and waist circumference had the strongest correlation with CVD risk in females.
conclusionsThe waist-related indicators of abdominal obesity are important components of CVD risk profiles. As waist-related parameters can quickly and easily be measured, they should be routinely obtained in primary care settings and population health screens in order to assess future CVD risk profiles and design appropriate interventions.
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