BACKGROUND: The prevalence of obesity is increasing rapidly and abdominal obesity especially is known to be a risk factor for metabolic syndrome and other non-communicable diseases. Waist circumference percentile curves are useful tools which can help to identify abdominal obesity among the childhood and adolescent populations. OBJECTIVE: To develop age- and sex-specific waist circumference (WC) percentile curves for multi-ethnic Malaysian children and adolescents aged 6.0-16.9 years. Subjects and methods. A total of 16,203 participants comprising 8,093 boys and 8,110 girls recruited from all regions of Malaysia were involved in this study. Height, weight, WC were measured and BMI calculated. Smoothed WC percentile curves and values for the 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th and 97th percentiles were constructed using the LMS Method. RESULTS: WC was found to increase with age in both sexes, but boys had higher WC values at every age and percentile. Z-scores generated using the UK reference data shows that Chinese children had the highest WC compared to Malays, Indians and other ethnicities. Comparisons with other studies indicate that at the 50th percentile, Malaysian curves did not differ from the UK, Hong Kong and Turkish curves, but at the 90th percentile, Malaysian curves were higher compared with other countries, starting at 10 years of age. The 90th percentile was adopted as the cut-off point to indicate abdominal obesity in Malaysian children and adolescents. CONCLUSION: These curves represent the first WC percentiles reported for Malaysian children, and they can serve as a reference for future studies.
BACKGROUND: The prevalence of obesity is increasing rapidly and abdominal obesity especially is known to be a risk factor for metabolic syndrome and other non-communicable diseases. Waist circumference percentile curves are useful tools which can help to identify abdominal obesity among the childhood and adolescent populations. OBJECTIVE: To develop age- and sex-specific waist circumference (WC) percentile curves for multi-ethnic Malaysian children and adolescents aged 6.0-16.9 years. Subjects and methods. A total of 16,203 participants comprising 8,093 boys and 8,110 girls recruited from all regions of Malaysia were involved in this study. Height, weight, WC were measured and BMI calculated. Smoothed WC percentile curves and values for the 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th and 97th percentiles were constructed using the LMS Method. RESULTS: WC was found to increase with age in both sexes, but boys had higher WC values at every age and percentile. Z-scores generated using the UK reference data shows that Chinese children had the highest WC compared to Malays, Indians and other ethnicities. Comparisons with other studies indicate that at the 50th percentile, Malaysian curves did not differ from the UK, Hong Kong and Turkish curves, but at the 90th percentile, Malaysian curves were higher compared with other countries, starting at 10 years of age. The 90th percentile was adopted as the cut-off point to indicate abdominal obesity in Malaysian children and adolescents. CONCLUSION: These curves represent the first WC percentiles reported for Malaysian children, and they can serve as a reference for future studies.
Authors: Wai Fong Chew; Pooi Pooi Leong; Sook Fan Yap; A Malik Yasmin; Kong Bung Choo; Gary Kim Kuan Low; Nem Yun Boo Journal: Singapore Med J Date: 2017-02-17 Impact factor: 1.858
Authors: Bo Xi; Xin'nan Zong; Roya Kelishadi; Mieczysław Litwin; Young Mi Hong; Bee Koon Poh; Lyn M Steffen; Sonya V Galcheva; Isabelle Herter-Aeberli; Tadeusz Nawarycz; Małgorzata Krzywińska-Wiewiorowska; Anuradha Khadilkar; Michael D Schmidt; Hannelore Neuhauser; Anja Schienkiewitz; Zbigniew Kułaga; Hae Soon Kim; Barbara Stawińska-Witoszyńska; Mohammad Esmaeil Motlagh; Abd Talib Ruzita; Violeta M Iotova; Aneta Grajda; Mohd Noor Ismail; Alicja Krzyżaniak; Ramin Heshmat; Velin Stratev; Agnieszka Różdżyńska-Świątkowska; Gelayol Ardalan; Mostafa Qorbani; Anna Świąder-Leśniak; Lidia Ostrowska-Nawarycz; Yoto Yotov; Veena Ekbote; Vaman Khadilkar; Alison J Venn; Terence Dwyer; Min Zhao; Costan G Magnussen; Pascal Bovet Journal: J Clin Endocrinol Metab Date: 2020-04-01 Impact factor: 5.958
Authors: Ailing Liu; Nuala M Byrne; Masaharu Kagawa; Guansheng Ma; Kallaya Kijboonchoo; Lara Nasreddine; Bee Koon Poh; Mohammad Noor Ismail; Andrew P Hills Journal: BMC Public Health Date: 2011-06-26 Impact factor: 3.295
Authors: Rossana Gómez-Campos; Cinthya Lee Andruske; Jefferson Hespanhol; Jose Sulla Torres; Miguel Arruda; Cristian Luarte-Rocha; Marco Antonio Cossio-Bolaños Journal: Int J Environ Res Public Health Date: 2015-07-09 Impact factor: 3.390
Authors: Chandrashekhar T Sreeramareddy; Wai F Chew; Veronica Poulsaeman; Nem Y Boo; Kong B Choo; Sook F Yap Journal: J Family Community Med Date: 2013-05