Adolescent eating behaviors in the UAE: Time to intervene

Association between Vegetarian Diet Consumption and Academic Performance, Sleep Quality, and Health-Related Quality of Life among Female Undergraduate College Students

Purpose

This cross-sectional survey study aimed to examine the association between vegetarian diet consumption and sleep quality, academic performance, and health-related quality of life among female undergraduate college students.

Method

A sample of 158 undergraduate female college students was recruited using a convenience sampling approach. Data collection utilized reliable and validated English-language instruments including the Vegetarian Quality of Life Questionnaire (VEGQOL), Pittsburgh Sleep Quality Index (PSQI), and health-related quality of life scale (HRQoL). The data were analyzed using one-way analysis of variance (ANOVA) and appropriate descriptive statistics.

Results

Vegetarians exhibited a significantly lower BMI compared to nonvegetarians (F (1, 156) = [6.09], p=0.015). Those strictly adhering to a vegan diet (48.79 ± 9.41) had the lowest vegetarian quality of life among all participants following various forms of a vegetarian diet (F (3, 68) = [2.78], p=0.04). The majority of female college students reported good to excellent general health (91.7%), with 53.2% perceiving their sleep quality as fairly good. However, the mean PSQI global score of 8.04 (±3.35) indicated poor sleep quality. No significant association was found between diet type (vegetarian vs. nonvegetarian) and academic performance (cGPA) (χ 2 (4, N = 158) = 2.92, p=0.57). There was no significant relationship between diet types and academic performance, HRQoL, and sleep quality.

Conclusion

Despite a significant association between vegetarian diet and lower BMI, surprisingly, no substantial relationships were identified between diet type and academic performance, HRQoL, and sleep quality. These findings contribute to the ongoing discourse on the potential impacts of a vegetarian diet on various facets of female college students' well-being and highlight the need for further exploration in this field.

Disordered Eating and Eating Disorders in Pediatric Obesity: Assessment and Next Steps

While the exact prevalence of disordered eating in youth who are overweight and have obesity has not been determined, studies show that the odds of a young adult (18-24 years) with obesity engaging in disordered eating behaviors is 2.45 times more likely to occur than in young adults with Body Mass Indexes (BMI) in the normative range. The purpose of this review is to highlight the role that disordered eating and eating disorders may play in pediatric obesity and the importance of screening for these conditions. The ability to identify and assess disordered eating alters the course of treatment. Without an understanding of the intersection of obesity and disordered eating, medical providers may continue treatment-as-usual. Doing so may inadvertently contribute to internalized weight bias in patients with obesity and exacerbate their disordered eating symptoms and behaviors. In addition, understanding the spectrum of disordered eating in pediatric patients with obesity allows providers to tailor treatments, discuss food and physical activity differently, and know when to refer patients to eating-disorder-specific providers for continued treatment.

Development of Novel Eating Error Scoring Tool to Evaluate Adult Eating Behavior Anomalies Among the United Arab Emirates Population

Introduction Maladaptive eating behaviors are emerging as the most significant determinants of obesity with a promising role in intervention. In the absence of a standardized tool to assess eating variations, an Eating Error Score (EES) tool was devised which comprised five zones for evaluating the severity of obesogenic behaviors as well as the specific area(s) with the highest susceptibility. This pilot study was aimed at evaluating the effectiveness of the EES in quantitating the eating behavior errors associated with excess weight and identifying the most affected zones. Methods The EES questionnaire was designed to explore potential disturbances in five zones of eating behavior related to the impetus to eat (Munger), meal choices and attentiveness to cravings (Impulsive), consumption speed (Speed feeding), cues to stop ingestion (Indulgent) and the social aspect of eating (Relationship). The questionnaire was conducted on adults with varying body mass index (BMI) attending governmental outpatient clinics. The correlation between EES and BMI was determined through Pearson Coefficient. Results A total of 204 participants completed the EES questionnaire. There were 72 males and 132 females with a mean BMI of 27.63 ± 6.16 kg/m2 and with nearly equal distribution between normal weight (37.2%), overweight (32.4%), and obese (29.4%) individuals. Nearly 75% of our cohort had a moderate total EES, and the remainder was equally distributed between the mild and severe ranges. A weak but significant correlation was observed between total EES and BMI (r=0.275, p<0.001) suggesting increasing obesogenic styles in participants with excess weight. In addition, a similar weak but significant correlation was noted between Body Mass Index and the Munger and Impulsive zones (r=0.266 and 0.258 and p<0.001, respectively) suggesting more severe maladaptive eating behaviors in these areas. No correlation was found with the Speed feeding, Indulgent, and Relationship zones. Conclusion The EES may be a useful tool for assessing the extent of maladaptive eating behaviors, which predispose individuals to weight gain and sabotage their weight loss efforts. Undoubtedly, the utility of the tool needs to be corroborated in large population studies. Further, identifying the specific operant zones may show promise as many of these habits are potentially modifiable and can be targeted for weight control, most notably those associated with the Munger and Impulsive zones.