{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T10:54:07Z","timestamp":1793876047890,"version":"4.7.0"},"reference-count":60,"publisher":"BMJ","issue":"1","license":[{"start":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T00:00:00Z","timestamp":1578614400000},"content-version":"unspecified","delay-in-days":9,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Putra Grant \u2013 Postgraduate Initiative (GP-IPS) from the Universiti Putra Malaysia","award":["GP\/IPS\/2017\/9519900"],"award-info":[{"award-number":["GP\/IPS\/2017\/9519900"]}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2019,12,9]]},"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>To compare the performance of different anthropometric indices including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and a body shape index to predict high blood pressure (BP) in adolescents using the 90th and 95th percentiles as two different thresholds.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design<\/jats:title>\n                  <jats:p>Cross-sectional study.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Setting<\/jats:title>\n                  <jats:p>Probability proportionate to size was used to randomly select two schools in Selangor state, Malaysia.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Participants<\/jats:title>\n                  <jats:p>A total of 513 adolescents (58.9% women and 41.1% men) aged 12\u201316 years were recruited.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Primary and secondary outcome measures<\/jats:title>\n                  <jats:p>Weight, height, WC and BP of the adolescents were measured. The predictive power of anthropometric indices was analysed by sex using the receiver operating characteristic curve.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>BMI and WHtR were the indices with higher areas under the curve (AUCs), yet the optimal cut-offs to predict high BP using the 95th percentile were higher than the threshold for overweight\/obesity. Most indices showed poor sensitivity under the suggested cut-offs. In contrast, the optimal BMI and WHtR cut-offs to predict high BP using the 90th percentile were lower (men: BMI-for-age=0.79, WHtR=0.46; women: BMI-for-age=0.92, WHtR=0.45). BMI showed the highest AUC in both sexes but had poor sensitivity among women. WHtR presented good sensitivity and specificity in both sexes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>These findings suggested that WHtR might be a useful indicator for screening high blood pressure risk in the routine primary-level health services for adolescents. Future studies are warranted to involve a larger sample size to confirm these findings.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/bmjopen-2019-032874","type":"journal-article","created":{"date-parts":[[2020,1,13]],"date-time":"2020-01-13T04:35:23Z","timestamp":1578890123000},"page":"e032874","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":56,"title":["Comparisons of body mass index, waist circumference, waist-to-height ratio and a body shape index (ABSI) in predicting high blood pressure among Malaysian adolescents: a cross-sectional study"],"prefix":"10.1136","volume":"10","author":[{"given":"Joyce Ying Hui","family":"Tee","sequence":"first","affiliation":[{"name":"Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9016-3414","authenticated-orcid":false,"given":"Wan Ying","family":"Gan","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Poh Ying","family":"Lim","sequence":"additional","affiliation":[{"name":"Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2020,1,12]]},"reference":[{"key":"2025101812255754000_10.1.e032874.1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(12)61728-0"},{"key":"2025101812255754000_10.1.e032874.2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)31919-5"},{"key":"2025101812255754000_10.1.e032874.3","unstructured":"Institute for Public Health . 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