Background: Quantification of obesity/adiposity is feasible with different anthropometric characteristics along with the bioelectrical impedance analysis techniques. Recent advancements are now witnessing development of further computations derived from previously established measures to gauge obesity. Objective: Main aim of our study was to evaluate the association of anthropometric determinants of obesity with body compositional adiposity variables, and thus identifying the best marker among them emerging out as the probable predictor for compositional adiposity. Participants and Setting: 550 female participants within the age of 18 to 23 years were enrolled under this study attending graduation course at University of Delhi. Ethical clearance was received from the institutional head. Informed written consent was taken from every participant. Design: All the body measurements were recorded by trained staff using standard techniques. Derived measurements were calculated further. Analysis: Data, hence, gathered was undertaken for descriptive and inferential statistical analysis with SPSS 20.0. Variables Measured and Results: WHR overestimated the count for those at risk compared to waist circumference and WHtR. Skeletal muscle fat associated negatively with all anthropometric adiposity indicators. BMI, BAI, WHtR and waist circumference related closely with all body composition cum obesity markers compared to WHR, CI and ABSI. BAI overrated the risk for fat determining body composition parameters the most followed by BMI. ABSI revealed an underestimated risk for augmenting fat content in body, compared to other markers. Conclusion and Implications: It is difficult to establish with compliance as to which of the measures used in the study could better predict the perils of obesity but it could be ascertained that some of the newly verified anthropometric adiposity indicators could be administered for determining clinical situations after further validation.

Background: Rapid changes in global economies and industrialization have resulted in switch from traditional diets and labor intensive lifestyle to consumption of modern calorie-rich diets loaded with fat and sugar contents, accompanied with sedentary lifestyle further leading to onset of numerous non-communicable, chronic disorders; obesity being one of them. This study aims at investigating risk posed by family history of obesity over the generations for inducing extreme overweight conditions among adolescent females of Delhi. Methods: Present work is a cross-sectional study conducted in Delhi (India) with sample size of 444 females aged between 18-22 years. Socio-demographic aspect along with lifestyle-related profile of participants was assessed using a self-administered proforma. Prior history of obesity among family members, if any, was noted as well, and anthropometric and physiologic measurements were recorded using well established customary techniques. Analysis was carried out in SPSS 20.0. Results: Participants holding a history for obesity in family were comparatively more obese than their counterparts. Positive family history for the same has been found possessing a notably closer association with elevated levels of adiposity determined by various physical and physiological variables. Conclusion: Family history of excessive fatness develops high risk of pathological manifestation for the same in upcoming generations that needs to be administered effectively-at individual or population level, and addressed efficiently by one's family or by the prevailing governmental provisions.

Background: Place of food preparation and hence consumption is an important determining factor for diet intake and consequently the risk for development of obesity. Aims: Present study attempts to examine dietary behavior among students attending undergraduate courses at Delhi University so as to assess the prevalence of overweight and obesity status using various dietary and behavioral factors triggering obesity. Methods: 201 females with age ranging from 18 to 22 years were interviewed for different socio-demographic information and parameters relating to lifestyle regime using a standardized proforma. Anthropometric and physiological measurements were taken according to standard techniques. Analysis was done using SPSS 20.0. Results: Family history for obesity and diabetes is noted to be significantly higher among girls taking home-made food. It has been reported that girls taking food prepared at home are more overweight/obese for BMI or at risk for higher waist line and waist height ratio as compared to those taking meals away from home. Conclusion: Universities can perform a crucial role in restraining the prevalence of obesity among young population by assessing college-going students for their weight status and eating practices and counseling them about healthy eating choices and habits.