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Anthropometric measurements of general and central obesity and the prediction of cardiovascular disease risk in women: a cross-sectional study
- Source :
- BMJ Open
- Publication Year :
- 2014
- Publisher :
- BMJ, 2014.
-
Abstract
- Objectives It is important to ascertain which anthropometric measurements of obesity, general or central, are better predictors of cardiovascular disease (CVD) risk in women. 10-year CVD risk was calculated from the Framingham risk score model, SCORE risk chart for high-risk regions, general CVD and simplified general CVD risk score models. Increase in CVD risk associated with 1 SD increment in each anthropometric measurement above the mean was calculated, and the diagnostic utility of obesity measures in identifying participants with increased likelihood of being above the treatment threshold was assessed. Design Cross-sectional data from the National Heart Foundation Risk Factor Prevalence Study. Setting Population-based survey in Australia. Participants 4487 women aged 20–69 years without heart disease, diabetes or stroke. Outcome measures Anthropometric obesity measures that demonstrated the greatest increase in CVD risk as a result of incremental change, 1 SD above the mean, and obesity measures that had the greatest diagnostic utility in identifying participants above the respective treatment thresholds of various risk score models. Results Waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-stature ratio had larger effects on increased CVD risk compared with body mass index (BMI). These central obesity measures also had higher sensitivity and specificity in identifying women above and below the 20% treatment threshold than BMI. Central obesity measures also recorded better correlations with CVD risk compared with general obesity measures. WC and WHR were found to be significant and independent predictors of CVD risk, as indicated by the high area under the receiver operating characteristic curves (>0.76), after controlling for BMI in the simplified general CVD risk score model. Conclusions Central obesity measures are better predictors of CVD risk compared with general obesity measures in women. It is equally important to maintain a healthy weight and to prevent central obesity concurrently.
- Subjects :
- Adult
Pediatrics
medicine.medical_specialty
Waist
Epidemiology
Cross-sectional study
Population
Risk Assessment
Predictive Value of Tests
Risk Factors
Prevalence
medicine
Humans
Obesity
Risk factor
education
Aged
education.field_of_study
Framingham Risk Score
Anthropometry
business.industry
Research
Australia
General Medicine
Middle Aged
Cross-Sectional Studies
Cardiovascular Diseases
Obesity, Abdominal
Female
Public Health
business
Risk assessment
Body mass index
Demography
Subjects
Details
- ISSN :
- 20446055
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- BMJ Open
- Accession number :
- edsair.doi.dedup.....405971674d84689a1d0b5a188f6cb1c4
- Full Text :
- https://doi.org/10.1136/bmjopen-2013-004138