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: 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: 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.
METHODS: Parents of children aged 3-5 years, from 14 countries (8 low- and middle-income countries, LMICs) completed surveys to assess changes in movement behaviours and how these changes were associated with the COVID-19 pandemic. Surveys were completed in the 12 months up to March 2020 and again between May and June 2020 (at the height of restrictions). Physical activity (PA), sedentary screen time (SST) and sleep were assessed via parent survey. At Time 2, COVID-19 factors including level of restriction, environmental conditions, and parental stress were measured. Compliance with the World Health Organizations (WHO) Global guidelines for PA (180 min/day [≥60 min moderate- vigorous PA]), SST (≤1 h/day) and sleep (10-13 h/day) for children under 5 years of age, was determined.
RESULTS: Nine hundred- forty-eight parents completed the survey at both time points. Children from LMICs were more likely to meet the PA (Adjusted Odds Ratio [AdjOR] = 2.0, 95%Confidence Interval [CI] 1.0,3.8) and SST (AdjOR = 2.2, 95%CI 1.2,3.9) guidelines than their high-income country (HIC) counterparts. Children who could go outside during COVID-19 were more likely to meet all WHO Global guidelines (AdjOR = 3.3, 95%CI 1.1,9.8) than those who were not. Children of parents with higher compared to lower stress were less likely to meet all three guidelines (AdjOR = 0.5, 95%CI 0.3,0.9).
CONCLUSION: PA and SST levels of children from LMICs have been less impacted by COVID-19 than in HICs. Ensuring children can access an outdoor space, and supporting parents' mental health are important prerequisites for enabling pre-schoolers to practice healthy movement behaviours and meet the Global guidelines.
METHODS: We systematically searched for publications in PubMed® and Scopus, manually searched the grey literature and consulted with national health and nutrition officials, with no restrictions on publication type or language. We included low- and middle-income countries in the World Health Organization South-East Asia Region, and the Association of Southeast Asian Nations and China. We analysed the included programmes by adapting the United States Centers for Disease Control and Prevention's public health surveillance evaluation framework.
FINDINGS: We identified 82 surveillance programmes in 18 countries that repeatedly collect, analyse and disseminate data on nutrition and/or related indicators. Seventeen countries implemented a national periodic survey that exclusively collects nutrition-outcome indicators, often alongside internationally linked survey programmes. Coverage of different subpopulations and monitoring frequency vary substantially across countries. We found limited integration of food environment and wider food system indicators in these programmes, and no programmes specifically monitor nutrition-sensitive data across the food system. There is also limited nutrition-related surveillance of people living in urban deprived areas. Most surveillance programmes are digitized, use measures to ensure high data quality and report evidence of flexibility; however, many are inconsistently implemented and rely on external agencies' financial support.
CONCLUSION: Efforts to improve the time efficiency, scope and stability of national nutrition surveillance, and integration with other sectoral data, should be encouraged and supported to allow systemic monitoring and evaluation of malnutrition interventions in these countries.