INDIAN PEDIATRICS 177 VOLUME 57 __ FEBRUARY 15, 2020 RESEARCH LETTER 8. Wessels MR. Streptococcal Pharyngitis. N Engl J Med. 2011;364:648-55. 9. Shulman ST, Bisno AL, Clegg HW, Gerber MA, Kaplan EL, Lee G, et al. Infectious Diseases Society of America. Clinical Practice Guideline For the Diagnosis and Management of group A Streptococcal Pharyngitis: 2012 Factors Associated with Nutritional Status of Adolescent Schoolchildren in Tripura Among 893 adolescent school children from 31 schools, 78.9% were found to have normal body weight; prevalence of thinness and overweight were 8.1% and 13%, respectively. Compared to the National reference, 95 th percentile value of Body Mass Index was higher; while both weight and height were lower. Literacy, economic and physical activity status were the most significant predictors influencing nutritional status. Keyword: Obesity, Ethnic, Overweight, Thinness. The existence of ethnic differences between different tribes of India in regards to their nutritional health is well reported [1]. Hence, in the present study, nutritional status and its correlates among both ethnic (Tripuri) and non-ethnic (Bengali) adolescent of Tripura was assessed. Subjects (14-18 y) were selected using random numbers, from 31 different government schools of Tripura (3-4 school per district selected randomly). Only the students whose parents agreed to sign the informed consent were included in the study. Ethical clearance was obtained from Institutional Human Ethical Committee of Tripura University. A prevalence of 30% for malnutrition was taken to calculate the sample size with 95% confidence interval and absolute precision of 5% [2]. The sample size was 893. History of nutritional and socioeconomic status was obtained by questioning the parents using a pre-validated questionnaire. Weight and height were recorded. Frequent calibration of the scale was done. Subjects were grouped into thinness, overweight and normal weight categories based on CDC criteria [3]. Student t test, chi-square test, and logistic regression were applied for statistical analyses. A total of 893 students (54.8% males) were evaluated. Prevalence of thinness, overweight and normal weight was found to be 8.1%, 12.9%, and 78.9%, respectively. Highest (14.61%) and lowest (2.07%) prevalence of thinness was seen in 14 years age group of Bengali and Tripuri male subjects, respectively. On the other hand 18 years and 14 years age group of Bengali female was found to have highest and lowest prevalence for overweight (20% and 11.2%, respectively) compared to other groups (Table I). Compared to ICMR reference, 95 th percentile value of weight and height were found to be lower and BMI was higher in both sexes of our subjects. On multiple logistic regression analysis, only literacy status of parents, socioeconomic class, and physical activity level were found to be significantly related to being overweight or being thin (Table II). Ethnic Tripuri subjects showed equal and in many cases better physical characteristics compared to non- ethnic Bengali subjects, which contradicts the findings from other studies [4,5]. Another significant observation of the study was a non-significant urban and rural difference in nutritional status of adolescents from both the communities of Tripura [6]. Overall prevalence of thinness found in study was much lesser than the prevalence reported from other Indian studies [7]. Similar to our findings, previous studies reported that early adolescence was more vulnerable period for malnutrition [8]. Update by the Infectious Diseases Society of America. Clin Infect Dis. 2012;55:e86-102. 10. Piñeiro R, Hijano F, Álvez F, Fernández A, Silva JC, Pérez C, et al. Documento de consenso sobre el diagnóstico y tratamiento de la faringoamigdalitis aguda. An Pediatr (Barc). 2011;75:342.e1-42.e13. TABLE I Association Between Nutritional Status and Socio-Demographic Status (N=893) Demographic % Nutritional status(%) factors No.(%) Thinness Overweight Female gender 404 (45.24) 8.66 12.87 Community Tripuri 530 (59.35) 6.72 12.86 Bengali 363 (40.65) 9.95 13.17 Study area Rural 419 (46.92) 9.07 12.17 Urban 474 (53.08) 7.17 13.71 Age group 14 y 398 (44.57) 6.78 12.06 15 y 223 (24.97) 7.62 13.01 16 y 118 (13.21) 9.32 13.56 17 y 90 (10.08) 11.11 14.44 18 y 64 (7.17) 10.94 15.62