METHODS: We used Cox regression to analyze data of a cohort of Asian children.
RESULTS: A total of 2608 children were included; median age at cART was 5.7 years. Time-updated weight for age z score < -3 was associated with mortality (P < 0.001) independent of CD4% and < -2 was associated with immunological failure (P ≤ 0.03) independent of age at cART.
CONCLUSIONS: Weight monitoring provides useful data to inform clinical management of children on cART in resource-limited settings.
METHODS AND STUDY DESIGN: This study had two phases: a cross-sectional growth study of under-five Orang Asli children (N=304; Phase 1) and a 2-year prospective cohort growth study of Orang Asli children aged 0-3 years (N=214; Phase 2) in the Temerloh district of Pahang, Malaysia. Weight-for-age, length/height-for-age, weight-for-length/height, and body mass index-for-age were determined.
RESULTS: The prevalence rates of stunting, underweight, wasting, and thinness in under-five Orang Asli children (Phase 1) were 64%, 49%, 14%, and 12%, respectively. In the cohort of 214 children (Phase 2), weight-for-age was initially documented and maintained closely at -1.50 standard deviations (SD) in the first 6 months, but it declined to approximately -2.00 SD at 15 months and remained close to -2.00 SD thereafter. Length/height-for-age declined rapidly to approximately -2.50 SD at 18 months and fluctuated between -2.30 and -2.50 SD thereafter. Weight-for-length/height increased sharply to -0.40 SD at 2-3 months, declined gradually to less than -1.00 SD at 12 months, and plateaued between -1.00 and -1.30 SD thereafter.
CONCLUSIONS: Undernutrition is prevalent among Orang Asli children, with length rather than weight faltering being more pronounced in the first 2 years of life. Identifying the causes of early growth retardation in this population is required to inform future preventive strategies.
METHODOLOGY: A cross-sectional study with a universal sampling of children and adolescents with special needs aged 2-18 years old, diagnosed with cerebral palsy, down syndrome, autism and attention-deficit/hyperactivity disorder was conducted at Community-Based Rehabilitation in Central Zone Malaysia. Socio-demographic data were obtained from files, and medical reports and anthropometric measurements (body weight, height, humeral length, and mid-upper arm circumference) were collected using standard procedures. Data were analysed using IBM SPSS version 26. The accuracy of the formula was determined by intraclass correlation, prediction at 20% of actual body weight, residual error (RE) and root mean square error (RMSE).
RESULT: A total of 502 children with a median age of 7 (6) years were enrolled in this study. The results showed that the Mercy formula demonstrated a smaller degree of bias than the Cattermole formula (PE = 1.97 ± 15.99% and 21.13 ± 27.76%, respectively). The Mercy formula showed the highest intraclass correlation coefficient (0.936 vs. 0.858) and predicted weight within 20% of the actual value in the largest proportion of participants (84% vs. 48%). The Mercy formula also demonstrated lower RE (0.3 vs. 3.6) and RMSE (3.84 vs. 6.56) compared to the Cattermole formula. Mercy offered the best option for weight estimation in children with special needs in our study population.