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 Nationally representative data from 2016 to 2021, government reports and unpublished data were reviewed and consolidated by a panel of experts.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.
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.
METHODS: Patients with unexplained pediatric-onset epilepsy were identified from the in-house Severance Neurodevelopmental Disorders and Epilepsy Database. All patients underwent either exome sequencing or multigene panels from January 2017 to December 2019, at Severance Children's Hospital in Korea. Clinical data were extracted from the medical records.
RESULTS: Of the 957 patients studied, 947 (99.0%) were Korean and 570 were male (59.6%). The median age at testing was 4.91 years (interquartile range, 1.53-9.39). The overall diagnostic yield was 32.4% (310/957). Clinical exome sequencing yielded a diagnostic rate of 36.9% (134/363), whereas the epilepsy panel yielded a diagnostic rate of 29.9% (170/569). Diagnostic yield differed across epilepsy syndromes. It was high in Dravet syndrome (87.2%, 41/47) and early infantile developmental epileptic encephalopathy (60.7%, 17/28), but low in West syndrome (21.8%, 34/156) and myoclonic-atonic epilepsy (4.8%, 1/21). The most frequently implicated genes were SCN1A (n = 49), STXBP1 (n = 15), SCN2A (n = 14), KCNQ2 (n = 13), CDKL5 (n = 11), CHD2 (n = 9), SLC2A1 (n = 9), PCDH19 (n = 8), MECP2 (n = 6), SCN8A (n = 6), and PRRT2 (n = 5). The recurrent genetic abnormalities included 15q11.2 deletion/duplication (n = 9), Xq28 duplication (n = 5), PRRT2 deletion (n = 4), MECP2 duplication (n = 3), SCN1A, c.2556+3A>T (n = 3), and 2q24.3 deletion (n = 3).
SIGNIFICANCE: Here we present the results of a large-scale study conducted in East Asia, where we identified several common genes and recurrent variants that varied depending on specific epilepsy syndromes. The overall genetic landscape of the Asian population aligns with findings from other populations of varying ethnicities.
METHODS: A total of 2406 Malaysian children aged 5 to 12 years, who had participated in the South East Asian Nutrition Surveys (SEANUTS), were included in this study. Cognitive performance [non-verbal intelligence quotient (IQ)] was measured using Raven's Progressive Matrices, while socioeconomic characteristics were determined using parent-report questionnaires. Body mass index (BMI) was calculated using measured weight and height, while BMI-for-age Z-score (BAZ) and height-for-age Z-score (HAZ) were determined using WHO 2007 growth reference.
RESULTS: Overall, about a third (35.0%) of the children had above average non-verbal IQ (high average: 110-119; superior: ≥120 and above), while only 12.2% were categorized as having low/borderline IQ ( 3SD), children from very low household income families and children whose parents had only up to primary level education had the highest prevalence of low/borderline non-verbal IQ, compared to their non-obese and higher socioeconomic counterparts. Parental lack of education was associated with low/borderline/below average IQ [paternal, OR = 2.38 (95%CI 1.22, 4.62); maternal, OR = 2.64 (95%CI 1.32, 5.30)]. Children from the lowest income group were twice as likely to have low/borderline/below average IQ [OR = 2.01 (95%CI 1.16, 3.49)]. Children with severe obesity were twice as likely to have poor non-verbal IQ than children with normal BMI [OR = 2.28 (95%CI 1.23, 4.24)].
CONCLUSIONS: Children from disadvantaged backgrounds (that is those from very low income families and those whose parents had primary education or lower) and children with severe obesity are more likely to have poor non-verbal IQ. Further studies to investigate the social and environmental factors linked to cognitive performance will provide deeper insights into the measures that can be taken to improve the cognitive performance of Malaysian children.
METHODS: The key items were generated by a panel of experts and selected according to content validity ratios. The developed scale was initially applied to 50 patients with AE (development cohort) to evaluate its acceptability, reproducibility, internal consistency, and construct validity. Then, the scale was applied to another independent cohort (validation cohort, n = 38).
RESULTS: A new scale consisting of 9 items (seizure, memory dysfunction, psychiatric symptoms, consciousness, language problems, dyskinesia/dystonia, gait instability and ataxia, brainstem dysfunction, and weakness) was developed. Each item was assigned a value of up to 3 points. The total score could therefore range from 0 to 27. We named the scale the Clinical Assessment Scale in Autoimmune Encephalitis (CASE). The new scale showed excellent interobserver (intraclass correlation coefficient [ICC] = 0.97) and intraobserver (ICC = 0.96) reliability for total scores, was highly correlated with modified Rankin scale (r = 0.86, p
DESIGN: Cross-sectional survey conducted in 2019-2020.
SETTING: Multistage cluster sampling conducted in Central, Northern, Southern, and East Coast regions of Peninsular Malaysia.
PARTICIPANTS: 2989 children aged 0.5-12.9 years.
RESULTS: Prevalences of stunting, thinness, overweight, and obesity among children aged 0.5-12.9 years were 8.9%, 6.7%, 9.2%, and 8.8%, respectively. Among children below 5 years old, 11.4% were underweight, 13.8% had stunting, and 6.2% wasting. Data on nutritional biomarkers showed a small proportion of children aged 4-12 years had iron (2.9%) and vitamin A deficiencies (3.1%). Prevalence of anaemia was distinctly different between children below 4 years old (40.3%) and those aged 4 years and above (3.0%). One-fourth of children (25.1%) had vitamin D insufficiency, which was twice as prevalent in girls (35.2% vs. boys: 15.6%). The majority of children did not meet the recommended dietary intake for calcium (79.4%) and vitamin D (94.8%).
CONCLUSIONS: Data from SEANUTS II Malaysia confirmed that triple burden of malnutrition co-exists among children in Peninsular Malaysia, with higher prevalence of overnutrition than undernutrition. Anaemia is highly prevalent among children below 4 years old, while vitamin D insufficiency is more prevalent among girls. Low intakes of dietary calcium and vitamin D are also of concern. These findings provide policymakers with useful and evidence-based data to formulate strategies that address the nutritional issues of Malaysian children.