RESUMO
Background: The Composite Index of Anthropometric Failure (CIAF) has its multifaceted application in understanding child undernutrition. The nationwide data of Community National Nutrition Survey (CNNS) 2016-18 in India has unfolded this opportunity to re-examine the use of CIAF and its determinants. One recent study showed significant differences in child undernutrition between rich and poor wealth index households using this CNNS -16-18 data. But, the study did not consider regional as well as state-wise CIAF variation. However, it is a fact that regional understanding of child undernutrition is equally vital for national and regional health and nutritional planning, specifically in India. Therefore, the present study aims to understand the geographical region and state-wise distribution of CIAF and determine some selected determinants of CIAF. Methods: The study used secondary data set from the Community National Nutrition Survey (CNNS), India undertaken in 2016-18. The study sample comprised of 32941 children aged 0-59 months. The multivariate logistic regression models were used to explore the determinants of CIAF. Results: The results revealed that nearly half of the under-five children suffered from undernutrition (CIAF-46.71%). The final adjusted multivariate regression models showed that the higher CIAF prevalence was mainly confined in the central region states like Madhya Pradesh (56.0%) and Uttar Pradesh (52.0%). Besides, the Jharkhand state in the eastern region showed the highest percentage of CIAF (57.0%). The prevalence of child undernutrition was more elevated in poor economic households and Muslim households. Children in the age group ?12 months, boys, who did not consume milk other than breast milk and lived in rural areas, had a higher prevalence of undernutrition. In the case of mother characteristics, mother's age at birth < 20 years, mother never attended school and mother did not watch television had a higher number of undernourished children. Despite several significant determinants associated with child undernutrition, the considerable impact of the region was consistent throughout the statistical models. Conclusion: Therefore, the vulnerable geographical regions and states in terms of child undernutrition should prioritise nutrition-sensitive interventions in India and consider the involvement of other key risk factors.
RESUMO
Background: Under nutrition is one of the most imperative problems among children that needed to be addressed in the realm of public health. Undernourished children cannot maintain natural biological abilities, such as growth, recuperating from ailments, learning and physical development. Poor feeding practices along with illnesses like diarrhoea, pneumonia, helminthic infections etc. are major determinants of under nutrition in India. The tribal populations in India are identified to be the autochthonous people of the land thereby being one of the major sufferers of under nutrition. This study aimed at finding out the prevalence of under nutrition among under-five children in tribal population in Tiruchirappalli district of Tamil Nadu. Methods: This community based cross-sectional analytical study was done among Malayali Tribes population of Puthur village, Pachamalai Hills, Trichy to determine the prevalence of under-nutrition using CIAF and WHO Z scoring system and its risk factors by multivariate analysis. Results: Out of 100 children, about 85% were undernourished as per CIAF criteria. In the Multivariate analysis, children of employed mother and children who were not given exclusive breast feeding were associated with Under nutrition which was statistically significant (p<0.05). Conclusions: CIAF could be considered as a better measure than any other single index to identify the problem in the community. The study also emphasizes the significance of proper IYCF practices among employed mothers and improvement of MCH services in Tribal population during antenatal and immediate postnatal period to bring down the prevalence of under nutrition.
RESUMO
Background: In India, common morbidities among children under 3 years of age are fever, acute respiratory infections, diarrhea. Effective early management at the home level and health care-seeking behavior in case of appearance of danger signs are key strategies to prevent the occurrence of severe and life-threatening complications. Objectives: To find out the prevalence of acute child morbidities, their determinants and health-seeking behavior of the mothers of these children. Setting and Design: The cross-sectional study was carried out in Wardha district of central India. 0 Material and Methods: We interviewed 990 mothers of children below 3 years of age using 30-cluster sampling method. Nutritional status was defined by National Center for Health Statistics (NCHS) reference. Composite index of anthropometric failure (CIAF) was constructed. Hemoglobin concentration in each child was estimated using the 'filter paper cyanm ethemoglobin method.' Using World Health Organization guidelines, anemia was defined as hemoglobin concentration less than 110 g/L. Post-survey focus group discussions (FGDs) were undertaken to bridge gaps in information obtained from the survey. Statistical Analysis: The data was analyzed by using SPSS 12.0.1 software package. Chi-square was used to test the association, while odds ratios were calculated to measure the strength of association. Multiple logistic regression analysis was applied to derive the final model. Results: Anemia was detected in 80.3% of children, and 59.6% of children were undernourished as indicated by CIAF. The overall prevalence of acute morbidity was 59.9%. Children with mild anemia, moderate anemia and severe anemia had 1.52, 1.61 and 9.21 times higher risk of being morbid, respectively. Similarly, children with single, 2 and 3 anthropometric failures had 1.16, 1.29 and 2.27 times higher risk of being morbid, respectively. Out of 594 (60%) children with at least one of the acute morbidities, 520 (87.5%) sought health care, where majority (66.1%) received treatment from private clinics. The final model suggested that anemia and mother's poor educational status are predictors of childhood morbidity. Conclusions: Nutritional anemia and mother's poor educational status are the most important risk factors of acute childhood morbidity. There is need to revitalize existing health care delivery and child health programs in rural India with emphasis on immediate correction of nutritional anemia.