Public health nutrition · 2013
Waist:height ratio: a superior index in estimating cardiovascular risks in Turkish adults.
Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Meseri Reci, Ucku Reyhan, Unal Belgin
Аннотация
OBJECTIVE: To determine the best anthropometric measurement among waist: height ratio (WHtR), BMI, waist:hip ratio (WHR) and waist circumference (WC) associated with high CHD risk in adults and to define the optimal cut-off point for WHtR.
DESIGN: Population-based cross-sectional study.
SETTING: Balcova, Izmir, Turkey.
SUBJECTS: Individuals (n 10 878) who participated in the baseline survey of the Heart of Balcova Project. For each participant, 10-year coronary event risk (Framingham risk score) was calculated using data on age, sex, smoking status, blood pressure, serum lipids and diabetes status. Participants who had risk higher than 10 % were defined as 'medium or high risk'.
RESULTS: Among the participants, 67·7% were female, 38·2% were obese, 24·5% had high blood pressure, 9·2% had diabetes, 1·5% had undiagnosed diabetes (≥126 mg/dl), 22·0% had high total cholesterol and 45·9% had low HDL-cholesterol. According to Framingham risk score, 32·7% of them had a risk score higher than 10 %. Those who had medium or high risk had significantly higher mean BMI, WHtR, WHR and WC compared with those at low risk. According to receiver-operating characteristic curves, WHtR was the best and BMI was the worst indicator of CHD risk for both sexes. For both men and women, 0·55 was the optimal cut-off point for WHtR for CHD risk.
CONCLUSIONS: BMI should not be used alone for evaluating obesity when estimating cardiometabolic risks. WHtR was found to be a successful measurement for determining cardiovascular risks. A cut-off point of '0·5' can be used for categorizing WHtR in order to target people at high CHD risk for preventive actions.
DESIGN: Population-based cross-sectional study.
SETTING: Balcova, Izmir, Turkey.
SUBJECTS: Individuals (n 10 878) who participated in the baseline survey of the Heart of Balcova Project. For each participant, 10-year coronary event risk (Framingham risk score) was calculated using data on age, sex, smoking status, blood pressure, serum lipids and diabetes status. Participants who had risk higher than 10 % were defined as 'medium or high risk'.
RESULTS: Among the participants, 67·7% were female, 38·2% were obese, 24·5% had high blood pressure, 9·2% had diabetes, 1·5% had undiagnosed diabetes (≥126 mg/dl), 22·0% had high total cholesterol and 45·9% had low HDL-cholesterol. According to Framingham risk score, 32·7% of them had a risk score higher than 10 %. Those who had medium or high risk had significantly higher mean BMI, WHtR, WHR and WC compared with those at low risk. According to receiver-operating characteristic curves, WHtR was the best and BMI was the worst indicator of CHD risk for both sexes. For both men and women, 0·55 was the optimal cut-off point for WHtR for CHD risk.
CONCLUSIONS: BMI should not be used alone for evaluating obesity when estimating cardiometabolic risks. WHtR was found to be a successful measurement for determining cardiovascular risks. A cut-off point of '0·5' can be used for categorizing WHtR in order to target people at high CHD risk for preventive actions.