METHODS: Item generation, item reduction, and pretesting were used to develop a questionnaire that served as a screening tool to detect severe post-COVID-19 complications. The questionnaire was validated by both internal and external reviewers, and the final version consisted of 11 items. Face validity was assessed through direct interviews with 11 athletes. Severe COVID-19 complications were identified for criterion validity and correlation analysis. A total score of 11 indicates that there is no risk of severe COVID-19 complications and gradual return to play is recommended; results <11 indicate a need for further evaluation by trained medical personnel. For reliability test, 50 respondents were chosen and asked to answer the questionnaires 7 days after their first responses.

RESULTS: Physical Activity Readiness Questionnaires for post-COVID-19 athletes (PAR-COVID-Q) demonstrated excellent internal consistency (r=1, P<0.05) and test-retest reliability (r=1, P<0.05). A total of 118 athletes scored 11, had normal health screening, normal electrocardiogram and chest X-ray, and successfully returned to sports without any reported complications (r=1, P<0.05). Two athletes scored <11 and underwent further medical evaluation.

Method: The study involved secondary data analysis from the Malaysian Health and Adolescents Longitudinal Research Team (MyHeART) study. A closed cohort secondary data analysis was performed from the dynamic cohort of 528 adolescents (male = 151; female = 377) aged 13 years attending secondary school who were followed up at 15 and 17 years. Anaemia status was determined by haemoglobin level < 12g/dL based on FBC, and iron deficiency anaemia (IDA) was determined when the Mentzer Index < 13. A generalised estimating equation (GEE) was constructed to investigate the longitudinal relationship between nutritional status and lifestyle on anaemia status over five years.

Results: The trend of anaemia prevalence increased significantly across the age group (7•9%; 95% CI: 2•3-11•1, 13•9%; 95% CI: 10•8-15•7 and 15•8%; 95% CI: 3•8-23•1) at 13, 15 and 17 years, respectively, especially among females. The trend of anaemia prevalence among females, also increased significantly across the age group (11.1%;95% CI:6.7-17.8, 15.7%;95% CI:11.4-21.3, 23.1%;95% CI:16.8-31.0). A similar trend was noted for the prevalence of IDA among those who were anaemic (66•5%; 95% CI: 40•4-85•3, 72•2%;95% CI: 54•8-85•4, 76•3%; 95% CI: 59•2-87•7). A longitudinal analysis using GEE revealed that adolescents who did not meet the Recommended Nutrient Intake (RNI) for total iron intake per day were significantly associated with anaemia (RR=1•517;95% CI: 1•012-2•275; p=0•044) and IDA (RR=1•776;95% CI: 1•225-2•57; p= 0•002).

OBJECTIVE: This study aims to assess physical activity levels among Malaysian adolescents and investigate the association between physical activity levels and body composition such as body mass index (BMI), waist circumference (WC) and percentage of body fat.

SUBJECTS AND METHODS: 1361 school-going 13 year old multi-ethnic adolescents from population representative samples in Malaysia were involved in our study. Self-reported physical activity levels were assessed using the validated Malay version of the Physical Activity Questionnaire for Older Children (PAQ-C). Height, weight, body fat composition and waist circumference (WC) were measured. Data collection period was from March to May 2012.

RESULTS: 10.8% of the males and 7.4% of the females were obese according to the International Obesity Task Force standards. A majority of the adolescents (63.9%) were physically inactive. There is a weak but significant correlation between physical activity scores and the indicators of obesity. The adjusted coefficient for body fatness was relatively more closely correlated to physical activity scores followed by waist circumference and lastly BMI.

METHODS: This hospital-based prospective cohort study will comprise patients with breast cancer (18 years and above), managed in the University Malaya Medical Centre (UMMC). We aim to recruit 1000 cancer survivors over a 6-year period. Data collection will occur at baseline (within 3 months of diagnosis), 6 months, and 1, 3 and 5 years following diagnosis. The primary outcomes are disease-free survival and overall survival, and secondary outcome is QoL. Factors measured are demographic and socioeconomic factors, lifestyle factors (eg, dietary intake, physical activity), anthropometry measurements (eg, height, weight, waist, hip circumference, body fat analysis), psychosocial aspects, and complementary and alternative medicine (CAM) usage.