METHODS: Fifty-one (51) participants (36 males and 15 females, 38.84 ± 11.73 years) with overweight and obesity (BMI = 29.75 ± 5.04 kg/m2) were recruited and monitored before and at the end of the commencement of the four-week IF. Six healthy subjects with normal BMI (21.4±2.20 kg/m2) were recruited only to standardize the reference for normal levels of gene expressions. At the two time points, anthropometric, biochemical, and dietary assessments were performed, and LAMP2, LC3B, ATG5, and ATG4D gene expressions were assessed using qRT-PCR on RNA extracted from whole blood samples.

RESULTS: At the end of IF, and compared to the pre-fasting levels, the relative gene expressions among participants with overweight/obesity were significantly increased for the three autophagy genes LAMP2, LC3B, and ATG5, with increments of about 4.2 folds, 1.9-fold, and 1.4-fold, respectively. In contrast, the increase in the ATG4D gene was not significant. Concomitantly, significant decreases were found in body weight, BMI, fat mass, body fat percent, hip and waist circumferences, LDL, IL-6, and TNF-a (P <0.05), While HDL, IL-10, and CD163 significantly increased (P <0.05). Binary logistic regression analysis for genetic expressions showed no significant association between high-energy intake, waist circumference, or obesity and the four gene expressions.

METHODS: This cross-sectional study collected data using a structured, self-administered electronic questionnaire that was translated into 13 languages and disseminated to Muslim populations across 27 countries. The questionnaire assessed dietary and lifestyle factors as independent variables, and three sleep parameters (quality, duration, and disturbance) as dependent variables. We performed structural equation modeling (SEM) to examine how dietary and lifestyle factors affected these sleep parameters.

RESULTS: In total, 24,541 adults were enrolled in this study. SEM analysis revealed that during RF, optimum sleep duration (7-9 h) was significantly associated with sufficient physical activity (PA) and consuming plant-based proteins. In addition, smoking was significantly associated with greater sleep disturbance and lower sleep quality. Participants that consumed vegetables, fruits, dates, and plant-based proteins reported better sleep quality. Infrequent consumption of delivered food and infrequent screen time were also associated with better sleep quality. Conflicting results were found regarding the impact of dining at home versus dining out on the three sleep parameters.