ABSTRACT
Background: BMI is commonly used to classify obesity in adults. WC and WHR are considered as ac-ceptable measures of obesity. However in community settings these can be a time-consuming method. Instead, Neck circumference (NC) can be used to screen for obesity. Methodology: A cross sectional study among 310 study participants in rural field practice area of Karwar Medical College. Data was collected using pre designed semi structured questionnaire and an-thropometric measurements as per standard guidelines. Pearson’s correlation coefficient was used to assess correlation. NC cut off values were obtained from ROC. Results: In our study, the correlation of NC with BMI was highly correlated among both males(r=0.529), and females (r=0.565). Kappa statistics depicted moderate agreement with BMI males (κ = 0.512); fe-males (κ = 0.496) and NC. The cut-off values obtained for NC using ROC curve for males (35.5cm) and females (31.5cm) were statically significant associated in comparison to BMI to determine obesity in both males (χ2 = 58.57, and females (χ2 = 21.54). Conclusion: This study concluded that men with NC ≥ 35.5 cm and females with NC ≥ 31.5 cm are to be considered obese.
ABSTRACT
Background: Childhood and adolescence are critical stages of life for mental health. This is a time when rapid growth and development takes place. Half of all mental health conditions start by 14 years of age but most cases are undetected and untreated. Behavioural patterns of adolescents are not much ex-plored in India. In this study, we aim to assess the behavioural pattern and its correlates among adoles-cents in Karwar of Uttara kannada district, Karnataka. Methodology: It is a cross-sectional questionnaire-based study conducted on adolescents studying in Government Pre-University college of Karwar in the month of June and July 2019.The Strengths and Dif-ficulties Questionnaire (SDQ) was used to assess the mental health status of adolescents. The total diffi-culties score is used to categorize adolescents as normal (0-15) and high [borderline (16-19) and ab-normal (20-40)]. Results: Although majority of adolescents were in the normal range, a significant number of adolescents were in borderline (18.4%) and abnormal (14.1%) SDQ scores. Binary logistic regression analysis shows that use of social media, abnormal emotional grade, conduct grade, hyperactivity grade, peer grade and impact grade were found statistically significant. Conclusion: Significant numbers of adolescents were in high range of SDQ scores and suffered from emotional, conduct, prosocial behaviour and hyperactivity problems.