Changes in caloric consumption, physical activity, body mass index and sleeping pattern during holy month of Ramadan among doctors of a public sector University.

Objectives: To determine the change in caloric intake, physical activity, body mass index and sleeping pattern during Ramadan among doctors. METHODS: The longitudinal study was conducted at a public-sector medical university in Karachi from April to May 2020, and comprised healthy doctors of either gender who planned to fast during Ramadan. Data was collected using a multitude of validated structured tools by trained data collectors. Data was analysed using SPSS 20. RESULTS: Of the 193 subjects, 103(53.4%) were females and 90(46.6%) were males. The overall mean age was 30.05±9.4 years. Caloric intake in the month before Ramadan was significantly higher 2288±495kcal/day than during Ramadan 2089±491kcal/day (p<0.001). Calories from proteins decreased and those from fats increased (p<0.001). Metabolic equivalent of task per minute per week increased significantly during Ramadan (p<0.001). Overall sleep per day decreased significantly, and there was an increase in daytime sleep and a decrease in night-time sleep (p<0.05). Body mass index also dropped significantly (p=0.005). CONCLUSIONS: Fasting during Ramadan had a positive effect on body mass index and physical activity levels of doctors, while the quality of diet and sleep was affected negatively.

Validation of HF-Bioelectrical Impedance Analysis versus Body Mass Index in Classifying Overweight and Obese Pakistani Adults.

Purpose: To determine the validity of hand-to-foot bioelectrical impedance analysis (HF-BIA) versus body mass index (BMI) to assess overweight and obesity status in adults against a reference method, dual-energy x-ray absorptiometry (DXA). Patients and Methods: It is a validation study conducted on 206 Pakistani adults ≥20 years recruited through convenience sampling technique at PNS Shifa Hospital and Jinnah Post Medical Centre, Karachi, Pakistan. Results: HF-BIA showed better sensitivity of 90.1% and 100% specificity with no false positive, but 9% false negative as compared to BMI which indicated 80.3% sensitivity and 100% specificity with a false-negative rate of 19.6%.HF-BIA also showed better sensitivity 80.9-97.1% with 100% specificity and PPV across all age groups. The correlation coefficient between BMI and DXA bf% (r=0.67) was moderate and less than the correlation coefficient between HF-BIA and DXA bf % (r=0.87). Kappa agreement showed weak to a fair agreement between BMI and DXA bf % (0.1 overall; 0.22 men; 0.14 women) compared to HF-BIA, which had a better agreement between BIA bf% and DXA bf% (0.43 overall; 0.46 men; 0.34 women). HF-BIA bf % demonstrated a better discriminatory power than BMI (AUC of ≥0.91) and was better predictor of body fat than BMI. Conclusion: HF-BIA is a more accurate method than BMI and may be used consistently throughout the country in primary care and research to identify the fat-based overweight and obese in the Pakistani population.