Meal Pattern and Obesity Sector for Biostatistics & Repository Data, NIH, MOH among Adolescents in urban area 18.5% 11.3% P-81 ACKNOWLEDGEMENT ACKNOWLEDGEMENT 85% OBESITY CHARACTERICTICS Referrence: Abarca-Gómez L, Abdeen Z.A, Hamid Z.A, Abu-Rmeileh N.M, Acosta-Cazares B, Acuin C, Adams R.J, Aekplakorn W, Afsana K, Aguilar-Salinas C.A. (2017). Worldwide trends in body- mass index, underweight, overweight, and obesity from 1975 to 2016: A pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet, 390: 2627–2642. Appannah G, Pot G.K, Oddy W.H, Jebb S.A, Ambrosini G.L.(2017). Determinants of a dietary pattern linked with greater metabolic risk and its tracking during adolescence. J. Hum. Nutr. Diet. 31, 218–227. Institute for Public Health Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2018. National Health and Morbidity Survey (NHMS) 2017: Adolescents Health Survey 2017. Yunsheng Ma, Elizabeth R. Bertone,Edward J. Stanek III, et al. Association between eating patterns and obesity in free-living US adult population. American Journal of Epidemiology 2003; Vol. 158, No.1. Bellisle F, McDevitt R, Prentice A. Meal frequency and energy balance. Br J Nutr 1997;77 (supply 1):S57-70.surement studies in 128.9 million children, adolescents, and adults. Lancet, 390: 2627–2642. 1. 2. 3. 4. 5. INTRODUCTION INTRODUCTION Obesity was found to be higher among males and Bumiputera Sarawak. DISCUSSION AND CONCLUSION DISCUSSION AND CONCLUSION This study showed that the prevalence of obesity among Malaysian urban adolescents was quite high with estimating of 1 in every 7 adolescents found to become obese. The study has limitations since it concentrated on the relationship between obesity and food intake effects without taking into account other possible causes. Awareness programmes and activities on obesity and healthy meal pattern need to be improved especially among primary and secondary students. OBESE 15% The prevalence of obesity may have reached a plateau in some developed countries and become more complex and intractable in many developing countries. Poor diet patterns are found to be prospectively associated with an increased risk of adolescent obesity. The aim of this study is to determine the association of having frequent meals towards obesity among Malaysian school-going adolescents in urban areas. 1 2 METHODOLOGY METHODOLOGY This study used the data from National Health Morbidity Survey (NHMS) 2017, a nationwide cross- sectional survey that implemented a two-stage stratified random sampling design. Total of 23,463 adolescent age between 10 to 17 years old from the urban area were involved. Complex samples logistic regression analyses were then performed to estimate the odds of being obese according to the meal type using the SPSS software version 25. Meal patterns are used to describe individuals' eating patterns at a different level of a meal including of breakfast, lunch, dinner, or a smaller-sized meal like supper or snack in a week. 2,103 with male adolescents 187,471 were obese estimated population 1,393 adolescents with f e m a l e 109,990 were obese estimated population Classification table 85%, Nagelkerke R square: 3.3% Others RESULT RESULT Farahdila H, Anita A, Zamtira S, Rozita MY, Azahadi O NMMR-16-698-30042 The author would like to thank the Director of Health Malaysia for permission to present this poster. Appreciation is also dedicated to all individuals who contributed to the success of this study. NOT OBESE 297,462 estimated population of adolescents were o b e s e in urban Malaysia 15% 85% male unadjusted odds ratio 95% ci p-value multivariat adjusted 1.776 1.000 0.942 0.948 0.933 0.963 1.851 1.000 0.973 0.986 0.944 0.949 1.578-1.998 reference p<0.001 0.016 0.344 p<0.001 p<0.001 female breakfast lunch dinner supper 0.942-0.981 0.923-0.974 0.908-0.959 0.943-0.983 p<0.001 odds ratio 95% ci p-value 0.952-0.995 0.957