Thinness among preschool children residing in rural area: A cross-sectional study.

Autor: Nayak, Rakesh K., Walvekar, Padmaja R., Mallapur, Maheshwar D.
Předmět:
Zdroj: Journal of the Scientific Society; May-Aug2015, Vol. 42 Issue 2, p78-81, 4p
Abstrakt: Introduction: The legacy of malnutrition especially among preschool children is a huge obstacle to overall national development. India is home to more than one-third of the world's under-nourished children. While there is global acceptance that body mass index (BMI) should be used for assessment of obesity/adiposity in children, there has not been a similar consensus regarding use of BMI for assessment of under-nutrition in children. Materials and Methods: The present study was a community-based cross-sectional study carried out in a primary health center between January and December 2011. Study population comprised of 697 children aged between 2 and 5 years. Weight (kg) and height (cm) measurements were taken on each subject, and BMI was computed. Nutritional status was evaluated using the Cole's age- and sex-specific cut-off points of BMI. One-way ANOVA (F-test) was performed to test for age diff erences in means of weight, height, and BMI using SPSS statistical package. Results: A total of 339 boys and 358 females were studied. Result showed that age-combined prevalence of under-nutrition (Grades I, II, and III combined) among boys and girls was 63.4% and 58.6% respectively with an overall prevalence of 61.7%. There were significant mean diff erences between ages among boys in weight (F = 4.160; P < 0.001) and height (F = 6.502; P < 0.001). However, no significant mean diff erences between ages for BMI (F = 1.098; P = 0.295). Similar fi ndings were seen among girls where in significant diff erences were observed in weight (F = 3.125, P < 0.001) and height (F = 6.895; P < 0.001) but not with BMI (F = 1.091; P = 0.311). Conclusion: Our study provided evidence that these children were under acute and chronic nutritional stress in the form of thinness. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index