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ORIGINAL ARTICLE
Year : 2017  |  Volume : 6  |  Issue : 2  |  Page : 380-385

Prevalence of severe acute malnutrition and associated sociodemographic factors among children aged 6 months–5 years in rural population of Northern India: A population-based survey


1 Department of Clinical Research, Institute of Liver and Biliary Sciences, New Delhi, India
2 Department of Gastroenterology and Human Nutrition Unit, All Institute of Medical Sciences, New Delhi, India
3 Department of Community Medicine, Subharti Medical College, Meerut, Uttar Pradesh, India
4 Department of Biostatistics, All Institute of Medical Sciences, New Delhi, India

Correspondence Address:
Prof. Umesh Kapil
Department of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, Ansari Nagar, New Delhi - 110 029
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_421_16

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Introduction: National Family Health Survey (NFHS)-3 documented that nearly 57 million children are undernourished in India, which is one-third of the world's share. We planned a study to identify the prevalence of severe acute malnutrition (SAM) among children aged <5 years in a rural population of Northern India. Materials and Methods: A cross-sectional study was conducted at 2 blocks of District Meerut during 2012–2014. A total of 70 villages were identified and all children in the age group 6–60 months were approached through house-to-house visits. Data on sociodemographic profile and anthropometry were collected utilizing standards methods and equipment. The Z-scores for weight-for-age, height-for-age, and weight-for-height (WHZ) were calculated using the World Health Organization (WHO) reference data as standard. SAM (severe wasting) was defined as per the WHO criteria (WHZ score <−3 standard deviation or severe visible wasting or bipedal edema). Results: A total of 19,449 children were screened and 18,463 children (age, 32.6 ± 15.4 years, and 53.4% males) were enrolled, and 466 were excluded due to erroneous age estimation and physical deformities. The prevalence of SAM was 2.2%, 95% confidence interval (CI) 2.02–2.44%, (409/18,463). Multivariate logistic regression documented age (odds ratio [OR]: 0.97, 95% CI 0.96–0.98), nuclear family (OR: 1.25, 95% CI 1.01–1.54), lower occupation of head of family (OR: 1.29, 95% CI 1.05–1.59), and lower paternal education (OR: 1.49, 95% CI 1.16–1.91) as independent predictor of SAM. Conclusion: The prevalence of SAM was lower (2.2%) in this Northern district of India as compared to national prevalence (7.9%). Younger age, nuclear family, lower parental education, and poor occupation of the head of the family predispose a child to SAM.


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