METHOD: Participants of Juara Sihat (n=55) were followed-up at 18 months after completion of the intervention. Juara Sihat intervention was implemented over 12 weeks and focused on four key components: (i) five one-hour nutrition education classes, (ii) four one-hour physical activity education sessions, (iii) family involvement, and (iv) empowerment of Parents and Teachers Association. Anthropometric variables (body mass index, body fat percentage and waist circumference) were measured and physical activity level was evaluated by using Physical Activity Questionnaire for Children (PAQ-C) at baseline (P0), immediately upon completion of intervention (P1), at three-month post-intervention (P2), and at 18-month postintervention (P3). Analyses of repeated measures analysis of covariance (ANCOVA) with intention-to-treat principle were applied.
RESULTS: Sustained effects were found in BMI-for-age z-score which showed a reduction (P0 2.41±0.84 vs P3 2.27±0.81) and physical activity level which showed positive improvements (P0 2.46±0.62 vs P3 2.87±0.76) at 18 months after intervention was completed. Body fat and waist circumference had increased over the same time period.
CONCLUSION: Overall, this study successfully demonstrated sustained intervention effects of Juara Sihat intervention on BMI-for-age z-score and physical activity, but not on body fat percentage and waist circumference.
METHODS: A cross-sectional study was performed in 150 children aged 12-36 months.
EXCLUSION CRITERIA: recurrent infections, moderate to severe asthma, recent systemic steroid, other diseases affecting growth/nutrition. Growth parameters, SCORing Atopic Dermatitis (SCORAD), hemoglobin, hematocrit, sodium, potassium, albumin, protein, calcium, phosphate, B12, iron, and folate values were determined. Parents completed a 3-day food diary.
RESULTS: The prevalence of food restriction was 60.7%. Commonly restricted foods were shellfish 62.7%, nuts 53.3%, egg 50%, dairy 29.3%, and cow's milk 28.7%. Food-restricted children have significantly lower calorie, protein, fat, riboflavin, vitamin B12, calcium, phosphorus and iron intakes and lower serum iron, protein and albumin values. Z scores of weight-for-age (-1.38 ± 1.02 vs -0.59 ± 0.96, P = .00), height-for-age (-1.34 ± 1.36 vs -0.51 ± 1.22, P = .00), head circumference-for-age (-1.37 ± 0.90 vs -0.90 ± 0.81, P = .00), mid-upper arm circumference (MUAC)-for-age (-0.71 ± 0.90 vs -0.22 ± 0.88, P = .00), and BMI-for-age (-0.79 ± 1.15 vs -0.42 ± 0.99, P = .04) were significantly lower in food-restricted compared to non-food-restricted children. More food-restricted children were stunted, underweight with lower head circumference and MUAC. Severe disease was an independent risk factor for food restriction with OR 5.352; 95% CI, 2.26-12.68.
CONCLUSION: Food restriction is common in children with AD. It is associated with lower Z scores for weight, height, head circumference, MUAC, and BMI. Severe disease is an independent risk factor for food restriction.
METHOD: Cross-sectional study of ambulant children with epilepsy on long-term AEDs for >1 year seen in a tertiary hospital in Malaysia from 2014 to 2015. Detailed assessment of anthropometric measurements; environmental lifestyle risk factors; serum vitamin D, calcium and parathyroid hormone levels; genotyping of single nucleotide polymorphisms of genes in vitamin D and calcium metabolism; and lumbar spine BMD were obtained. Low BMD was defined as BMD Z-score ≤ -2.0 SD.
RESULTS: Eighty-seven children with mean age of 11.9 years (56 males) participated in the study. The prevalence of low lumbar BMD was 21.8% (19 patients). Multivariate logistic regression analysis identified polytherapy >2 AEDs (OR: 7.86; 95% CI 1.03-59.96), small frame size with wrist breadth of <15th centile (OR 14.73; 95% CI 2.21-98.40), and body mass index Z-score 2 AEDs, underweight or with small frame size as they are at higher risk of having low BMD.
METHODS: The development process follows the systematic steps recommended by the Active Healthy Kids Global Alliance was used. Nationally representative data from 2016 to 2021, government reports and unpublished data were reviewed and consolidated by a panel of experts. Letter grades were assigned based on predefined benchmarks to 12 indicators including 10 core physical activity indicators that are common to Global Matrix 4.0 and two additional indicators (Diet and Weight Status). The current grading was then compared against those obtained in 2016.
RESULTS: Four of six indicators in the Daily Behaviors category received D- or C grades [Overall Physical Activity, Active Transportation and Diet (D-); Sedentary Behaviors (C)], which remains poor, similar to the 2016 report card. School indicator was graded for the Settings and Sources of Influence category, which showed an improvement from grade B (2016) to A- (2022). As for the Strategies and Investments category, B was again assigned to the Government indicator. Two new indicators were added after the 2016 Report Card, and they were graded B (Physical Fitness) and B- (Weight Status). Four indicators (Organized Sports and Physical Activity, Active Play, Family and Peers, and Community and Environment) were again graded Incomplete due to a lack of nationally representative data.
CONCLUSION: The 2022 Report Card revealed that Malaysian children and adolescents are still caught in the "inactivity epidemic". This warrants more engagement from all stakeholders, public health actions, and timely research, to comprehensively evaluate all indicators and drive a cultural shift to see Malaysian children and adolescents moving more every day.
METHODS: This study reports baseline data from a longitudinal study that was conducted at a hospital in Vietnam. KTRs aged ≥18 years and >3 months post-transplantation were recruited. Assessments included sociodemographic and blood biomarkers. Dietary intake was estimated from 24-hour recalls. A Short Form-36 Health Survey, comprising physical (PCS) and mental component summaries (MCS), was administered to assess QoL. Multivariate linear regression models were performed.
RESULTS: The study included 106 patients (79 men) with a mean age of 43.2 years (± 11.9). Mean duration after kidney transplantation was 28.5 months (± 14.9). Patients with MetS had 6.43 lower PCS score (P < .05) and 3.20 lower MCS score (P < .05) than their counterparts without MetS. Calcium intake (β = -0.01; 95% CI, -0.03 to 0.00) and inadequate protein (β = -14.8; 95% CI, -23 to -6.65) were negatively associated with PCS score. MCS score was negatively associated with calcium intake (β = -0.02; 95% CI, -0.04 to -0.01) and inadequate protein intake (β = -15.1; 95% CI, -24.3 to -5.86), and positively associated with fat intake (β = 0.43, 95% CI, 0.02-0.85).
CONCLUSIONS: MetS and poor dietary intake are independently associated with the QoL of KTRs. Nutritional intervention plans developed specifically for the recipients will improve dietary intake, reduce the incidence of MetS, and help enhance QoL.
DESIGN: Longitudinal study.
SETTING: UVB exposure (using polysulfone film badges) and skin colour and dietary vitamin D intake (by web-based questionnaire) were measured at each season in AB and during south-west (SWM) and north-east monsoons (NEM) in KL.
SUBJECTS: One hundred and fifteen Asians in KL and eighty-five Asians in AB aged 20-50 years.
RESULTS: Median summer UVB exposure of Asians in AB (0·25 SED/d) was higher than UVB exposure for the KL participants (SWM=0·20 SED/d, P=0·02; NEM= 0·14 SED/d, P<0·01). UVB exposure was the major source of vitamin D in KL year-round (60%) but only during summer in AB (59%). Median dietary vitamin D intake was higher in AB (3·50 µg/d (140 IU/d)), year-round, than in KL (SWM=2·05 µg/d (82 IU/d); NEM=1·83 µg/d (73 IU/d), P<0·01). Median total vitamin D (UVB plus diet) was higher in AB only during summer (8·45 µg/d (338 IU/d)) compared with KL (SWM=6·03 µg/d (241 IU/d), P=0·04; NEM=5·35 µg/d (214 IU/d), P<0·01), with a comparable intake across the full year (AB=5·75 µg/d (230 IU/d); KL=6·15 µg/d (246 IU/d), P=0·78).
CONCLUSIONS: UVB exposure among Asians in their home country is low. For Asians residing at the northerly latitude of Scotland, acquiring vitamin D needs from UVB exposure alone (except in summer) may be challenging due to low ambient UVB in AB (available only from April to October).
METHODS: We developed, piloted and implemented multiple cultural adaptations and two methodological innovations to the commonly used GMB process in Fang Cheng Gang city, China. We included formal, ceremonial and policy maker engagement events before and between GMB workshops, and incorporated culturally tailored arrangements during participant recruitment (officials of the same seniority level joined the same workshop) and workshop activities (e.g., use of individual scoring activities and hand boards). We made changes to the commonly used GMB activities which enabled mapping of shared drivers of multiple health issues (in our case MIAIF) in a single causal loop diagram. We developed and used a 'hybrid' GMB format combining online and in person facilitation to reduce travel and associated climate impact.
RESULTS: Our innovative GMB process led to high engagement and support from decision-makers representing diverse governmental departments across the whole food systems. We co-identified and prioritised systemic drivers and intervention themes of MIAIF. The city government established an official Local Action Group for long-term, inter-departmental implementation, monitoring and evaluation of the co-developed interventions. The 'hybrid' GMB format enabled great interactions while reducing international travel and mitigating limitations of fully online GMB process.
CONCLUSIONS: Cultural and methodological adaptations to the common GMB process for an Asian LMIC setting were successful. The 'hybrid' GMB format is feasible, cost-effective, and more environmentally friendly. These cultural adaptations could be considered for other Asian settings and beyond to address inter-related, complex issues such as MIAIF.
METHODS: Data from 939 preschoolers aged 3-6 years (mean age = 4.83 ± 0.04 years, 53.7% boys) from the Second South East Asian Nutrition Surveys (SEANUTS II) Malaysia study was analyzed. Socio-demography, physical activity, sedentary behaviors, and sleep were parent-reported via questionnaire. Associations between adherence of 24-hMG and sociodemographic factors were analyzed using complex samples logistic regression.
RESULTS: Only 12.1% of preschoolers adhered to the overall 24-hMG, and 67.1%, 54.7%, and 42.7% of preschoolers adhered to physical activity, sleep, and sedentary behavior guidelines, respectively; while 6.8% did not meet any guidelines. Compared to 3-4-year olds, preschoolers aged 5-6 years had higher odds of adhering to physical activity guidelines, sedentary behavior guidelines, and overall 24-hMG, but lower odds of adhering to sleep guidelines. Chinese and Indian preschoolers were more likely to adhere to sedentary behavior guidelines than Malay preschoolers; however, Chinese preschoolers had lower odds of adhering to physical activity guidelines. Paternal tertiary education was associated with a higher likelihood of adherence to sleep guidelines.
CONCLUSION: Our findings suggest that adherence to 24-hMG among Malaysian preschoolers is associated with age, ethnicity, and paternal education level. This underscores the importance of targeted interventions and health awareness program to promote healthy movement behaviors, particularly among children under 5, ethnic minorities, and educationally disadvantaged families.
DESIGN AND METHODS: This cross-sectional study was carried out among 254 primary and secondary school adolescents aged 10 to 16 years. Anthropometric measurements and blood pressure were determined through standardized protocols, while participants' birth weight was obtained from birth certificate. Body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and a body shape index (ABSI) were calculated.
RESULTS: Boys had significantly higher weight, height, WC, WHtR and systolic blood pressure (SBP) than girls (p +1SD had higher odds of being prehypertensive or hypertensive (aOR 8.97; 95% CI 3.16, 25.48), followed by participants with WC ≥ 90th percentile (aOR 6.31; 95% CI 2.48, 16.01) and participants with WHtR > 0.5 (aOR 5.10; 95% CI 2.05, 12.69). Multiple linear regression showed BMI was positively associated with both SBP and DBP. No significant association was found between birth weight and BP.
CONCLUSION: BMI had the best predictive ability for SBP and DBP. These findings strongly emphasize the importance of primary prevention of hypertension in adolescents, especially among those with high BMI.