Methods: This study involved 93 disabled athletes in Malaysia. The setting of the study is at National Sports Council, Malaysia. The data obtained are analysed using chi-square test using SPSS.

Results: This study shows that the most common types of eating behaviour among disabled athletes are emotional eating (37.6%), followed by uncontrolled eating (34.3%) and cognitive restraint (28%). Most of the overweight and obese disabled athletes are prone to emotional eating (19.4%) as compared to non-overweight athletes (18.3%).

METHOD: Participants were 98 female students from Malaysia, who completed a measure of risk factors for eating disorder symptomatology (the Eating Disorder Inventory-3 subscales of drive for thinness, body dissatisfaction, and bulimia symptoms) at two time points: two months prior to beginning their sojourn in the UK (Time 1) and four months after the sojourn began (Time 2). At Time 2, participants also completed measures of sociocultural adjustment, cultural distance between home and host cultures, and perceived discrimination in the host culture.

RESULTS: Analyses indicated that, compared to scores at Time 1, participants had significantly higher drive for thinness (d = 0.64), body dissatisfaction (d = 0.54), and bulimia symptoms (d = 0.29) at Time 2. Poorer sociocultural adjustment and greater perceived discrimination significantly predicted greater risk of eating disorders at Time 2.

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).

METHODS: Sociodemographic data, anthropometric measurements and 3 day dietary intake record were collected from 54 ADHD children and 54 typical development (TD) children. The Behavioral Pediatrics Feeding Assessment Scale was used to assess feeding problems.

RESULTS: Mean subject age was 8.6 ± 2.1 years. On anthropometric assessment, 11.1% of the ADHD children had wasting, while 1.9% had severe wasting. In contrast, none of the TD children had wasting. Approximately 5.6% of the ADHD children had stunting, as compared with 3.7% of the TD children, while none of the TD children had severe stunting compared with 3.7% of the ADHD children. More than half of the ADHD children had mid-upper arm circumference (MUAC) below the 5th percentile, indicating undernutrition, compared with only 35.2% of TD children. More than one-third of the ADHD children had feeding problems compared with 9.3% of TD children. There was a significant negative relationship between the ADHD children's feeding problems and bodyweight (r = -0338, P = 0.012), body mass index (r = -0322, P = 0.017) and MUAC (r = -0384, P = 0.004).

METHODS: We performed a cross-sectional study among healthy children aged 12-36 months attending three well-baby clinics in three urban areas in Malaysia and Singapore between December 2016 and February 2017. Parents were interviewed for concerns about their child's feeding and presence of behavioral and organic red flags for feeding difficulties. We defined growth faltering as weight-for-age < 3rd centile and short stature as height-for-age < 3rd centile according to World Health Organization Growth Standards.