DESIGN: Patients were assessed for food addiction utilizing the Malay YFAS 2.0. The participants were also assessed for eating disorder using the validated Malay Binge Eating Scale. The psychometric properties of the YFAS 2.0 were determined by analysing factor structure, overall item statistics, internal consistency and construct validity.
SETTING: Between 2017 and 2018, participants were chosen from a regional primary-care clinic in the district of Seremban, Malaysia.
PARTICIPANTS: Patients (n 382) from a regional primary-care clinic.
RESULTS: The prevalence of food addiction was 5·0%. A two-factor structure of the YFAS was confirmed as the most optimal solution for the scale via confirmatory factor analysis. In both its diagnostic and symptom count version, the YFAS 2.0 had good internal consistency (Kuder-Richardson α > 0·80 and McDonald's ω > 0·9).
CONCLUSIONS: We validated a psychometrically sound Malay version of the YFAS 2.0 in a primary-care population. Both diagnostic and symptom count versions of the scale had robust psychometric properties. The questionnaire can be used to develop health promotion strategies to detect food addiction tendencies in a general population.
METHODS: A cross-sectional questionnaire survey and anthropometric measurement were conducted with undergraduate university students that were randomly recruited. The Eating Attitudes Test (EAT-26) was utilized to determine the prevalence of disordered eating attitudes. The sample included 3148 university students, with a mean age of 20.5 years, SD = 1.6.
RESULTS: Using the EAT-26, 11.5% of the students across all countries were classified as being at risk for an eating disorder, ranging from below 10% in Indonesia, Thailand and Vietnam to 13.8% in Malaysia and 20.6% in Myanmar. In multivariable logistic regression analysis, sociodemographic factors (wealthier subjective economic status, and living in a lower middle income country), underweight and overweight body weight perception, psychological factors (depression symptoms and pathological internet use), and being obese were associated with eating disorder risk.
CONCLUSIONS: Relatively high rates of eating disorder risk were found. This result calls for increased awareness, understanding of eating disorders and related risk factors and interventions in university students in ASEAN.
LEVEL OF EVIDENCE: Level V, descriptive cross-sectional survey.
METHODS: This is a cross-sectional comparison study whereby 225 overweight/obese children matched for age, sex, and ethnicity with 225 normal weight children participated in this study. Body image dissatisfaction, disordered eating, and depressive symptoms were assessed through a self-administered questionnaire. Blood pressure was measured, whereas blood was drawn to determine insulin, high-sensitivity C-reactive protein (hs-CRP), glucose, and lipid profiles. Homeostasis model assessment-estimated insulin resistance (HOMA-IR) was calculated using glucose and insulin levels. Wechsler's Intelligence Scale for Children-Fourth Edition (WISC-IV) was used to assess cognitive function in children. Ordinary least square regression analysis was conducted to determine the direct and indirect relationships between weight status and cognitive function.
RESULTS: A negative relationship was found between overweight/obesity with cognitive function. Overweight/obese children were on average 4.075 units lower in cognitive function scores compared to normal weight children. Such difference was found through mediators, such as body image dissatisfaction, disordered eating, depression, systolic blood pressure, triglycerides, HOMA-IR, and hs-CRP, contributing 22.2% of the variances in cognitive function in children.
CONCLUSION: Results highlight the important mediators of the relationship between overweight/obesity and cognitive function. Consequently, future interventions should target to improve psychological well-being and reduce cardiovascular disease risk for the prevention of poorer cognitive performance in overweight/obese children.