OBJECTIVE: This study aimed to explore the spatial trends of child growth failure (CGF) indicators and their association with household sanitation practices in India.
METHODS: We used data from the Indian Demographic and Health Surveys spanning 1998-2021. District-level CGF indicators (stunting, wasting, and underweight) were cross-referenced with sanitation and sociodemographic characteristics. Global Moran I and Local Indicator of Spatial Association were used to detect spatial clustering of the indicators. Spatial regression models were used to evaluate the significant determinants of CGF indicators.
RESULTS: Our study showed a decreasing trend in stunting (44.9%-38.4%) and underweight (46.7%-35.7%) but an increasing prevalence of wasting (15.7%-21.0%) over 15 years. The positive values of Moran I between 1998 and 2021 indicate the presence of spatial autocorrelation. Geographic clustering was consistently observed in the states of Madhya Pradesh, Jharkhand, Odisha, Uttar Pradesh, Chhattisgarh, West Bengal, Rajasthan, Bihar, and Gujarat. Improved sanitation facilities, a higher wealth index, and advanced maternal education status showed a significant association in reducing stunting. Relative risk maps identified hotspots of CGF health outcomes, which could be targeted for future interventions.
CONCLUSIONS: Despite numerous policies and programs, malnutrition remains a concern. Its multifaceted causes demand coordinated and sustained interventions that go above and beyond the usual. Identifying hotspot locations will aid in developing control methods for achieving objectives in target areas.
DESIGN: Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011.
SETTING: A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women.
SUBJECTS: Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview.
RESULTS: Prevalence of moderate and severe household food insecurity was 23·2% and 19·0%, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ) child and environmental factors, household food access insecurity score was associated with HAZ (β=-0·02, P=0·01) and WAZ (β=-0·01, P=0·01) but was not associated with WHZ and BMI-for-age Z-score. A 10-point increase in household food access insecurity score was associated with a decrease in HAZ of 0·2 (95% CI 0·05, 0·39) and decrease in WAZ of 0·1 (95% CI 0·03, 0·27).
CONCLUSIONS: Our results from a nationally representative sample confirm the previously reported association of household food insecurity with stunting and underweight. Community nutrition interventions may use household food insecurity scales for identifying those households where children may be at risk of growth faltering.
METHODS: The cross-sectional study was conducted from September 2017 to June 2018 in the paediatrics wards of a tertiary referral paediatric government hospital, a tertiary teaching hospital and a government district hospital in Malaysia. The sample comprised paediatric patients aged 2-12 years within 24-72 hours of hospital admission. Data was collected using the 3-Minute Nutrition Screening-Paediatrics tool. Data was analysed using SPSS 20.
RESULTS: Of the 341 patients screened, 284(83.3%) were included; 170(59.9%) boys and 114(40.1%) girls. The overall median age was 4.85 years (interquartile range: 4.33 years). The median length of hospital stay was 3 days (interquartile range: 3 days). There were 72(25.4%) participants at high under-nutrition risk, with the highest proportion being at the district government hospital 31(33%). Among those with high risk, 5.4% subjects had severe acute malnutrition, 9.7% had severe chronic malnutrition, and 11.1% had severe thinness.
CONCLUSION: The 3-Minute Nutrition Screening-Paediatrics scale was found to be effective as a nutrition screening tool for hospitalised children in Malaysia.