{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T13:41:11Z","timestamp":1787838071757,"version":"build-2784847793"},"reference-count":43,"publisher":"Cambridge University Press (CUP)","issue":"10","license":[{"start":{"date-parts":[[2013,10,8]],"date-time":"2013-10-08T00:00:00Z","timestamp":1381190400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Public Health Nutr."],"published-print":{"date-parts":[[2014,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec id=\"S136898001300267X_abs1\" sec-type=\"general\"><jats:title>Objective<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec id=\"S136898001300267X_abs2\" sec-type=\"general\"><jats:title>Design<\/jats:title><jats:p>Population-based cross-sectional study.<\/jats:p><\/jats:sec><jats:sec id=\"S136898001300267X_abs3\" sec-type=\"general\"><jats:title>Setting<\/jats:title><jats:p>Balcova, Izmir, Turkey.<\/jats:p><\/jats:sec><jats:sec id=\"S136898001300267X_abs4\" sec-type=\"subjects\"><jats:title>Subjects<\/jats:title><jats:p>Individuals (<jats:italic>n<\/jats:italic>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 \u2018medium or high risk\u2019.<\/jats:p><\/jats:sec><jats:sec id=\"S136898001300267X_abs5\" sec-type=\"results\"><jats:title>Results<\/jats:title><jats:p>Among the participants, 67\u00b77 % were female, 38\u00b72 % were obese, 24\u00b75 % had high blood pressure, 9\u00b72 % had diabetes, 1\u00b75 % had undiagnosed diabetes (\u2265126 mg\/dl), 22\u00b70 % had high total cholesterol and 45\u00b79 % had low HDL-cholesterol. According to Framingham risk score, 32\u00b77 % 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\u00b755 was the optimal cut-off point for WHtR for CHD risk.<\/jats:p><\/jats:sec><jats:sec id=\"S136898001300267X_abs6\" sec-type=\"conclusion\"><jats:title>Conclusions<\/jats:title><jats:p>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 \u20180\u00b75\u2019 can be used for categorizing WHtR in order to target people at high CHD risk for preventive actions.<\/jats:p><\/jats:sec>","DOI":"10.1017\/s136898001300267x","type":"journal-article","created":{"date-parts":[[2013,10,8]],"date-time":"2013-10-08T13:02:56Z","timestamp":1381237376000},"page":"2246-2252","source":"Crossref","is-referenced-by-count":34,"title":["Waist:height ratio: a superior index in estimating cardiovascular risks in Turkish 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