Prevalence of Eating Disorders and Their Association with Social Media Addiction among Youths.

Eating disorders and excessive attachment to social media are a matter of great concern among youths. This study assessed the prevalence of eating disorders and their association with social media addiction among youths. A descriptive cross-sectional study was conducted on 350 participants aged 14-25 years. Two pre-validated tools were used, i.e., the Eating Attitude Test and the Social Networking Addiction Scale. SPSS was used to analyze the data. Out of the 350 students, 42% had probable eating disorders, and 41.7% had social media addictions. The findings revealed that the chances of having eating disorders were significantly higher among youths who lived in separate places, smoked, and had a family history of eating disorders (p ≤ 0.05). Furthermore, the dieting domain displayed notably higher scores for youths living separately (p ≤ 0.05) and smokers (p ≤ 0.01). Moreover, the scores for bulimia and food preoccupation were significantly higher among participants who were married (p = 0.038), were smokers (p = 0.027), and had a family history of eating disorders (p = 0.001). Higher scores in the oral control domain were reported by females (p ≤ 0.05) and severely obese youths (p ≤ 0.01). Moreover, social media addiction was significantly higher among students aged 18-21 (p ≤ 0.01). Spearman's correlation revealed that social media addiction has a weak positive relationship with eating disorders (r = 0.133, p ≤ 0.01), particularly bulimia and food preoccupation (r = 0.173, p ≤ 0.001). This reflects the need to address the harmful consequences of social media addiction that might raise the likelihood of developing eating disorders, particularly bulimia nervosa.

Environmental determinants and PCOS symptoms severity: a cross-sectional study.

Polycystic Ovary Syndrome is a complicated female disorder worldwide. Researchers conducted a quantitative study to examine multiple environmental determinants contributing to its symptoms severity. Data of 150 PCOS diagnosed women (16 to 45 years) was gathered from private clinics and hospitals of Lahore, Pakistan. Chi-square, spearman's correlation, and linear regression tests were run. Chicken, fast food and spicy food intake were found to be the significant predictors of PCOS severity (F (1, 148) = 6.903, p = 0.01), (F (1, 148) = 11.400, p = 0.001), and (F (1, 148) = 4.525, p = 0.035) respectively. We also found significant relationships of sedentary lifestyle (p = .034) & BMI (p = 0.025) with PCOS symptoms severity. However, relationship of socioeconomic status (SES) was non-significant with the disease severity. These determinants will direct healthcare professionals in proper management and counseling of PCOS women thus improving their life quality.