Frequency and determinants of malnutrition in children aged between 6 to 59 months in district Tharparkar, a rural area of Sindh

J Pak Med Assoc. 2017 Sep;67(9):1369-1373.

Abstract

Objective: To assess the nutritional status of children living in Tharparkar.

Methods: This cross-sectional study was conducted in four villages of Tharparkar district of Sindh, Pakistan, in 2014, and comprised children aged between 6 and 59 months. Data was collected from mothers and anthropometry of children was done using standard techniques. Nutritional status was assessed by using age- and sex-specific World Health Organisation standard charts for underweight, stunting and wasting. Data was analysed using SPSS 16.

Results: Of the 304 children assessed, 117(38.5%) were stunted, 58(19.1 %) were wasted and 101(33.2 %) were underweight with no gender discrimination. Under-nutrition was particularly observed in the second year of life. Statistically significant factors associated with stunting were illiteracy of mother, family size of >5 members, pregnancy>4 times, child mortality in last 6 months, absence of breastfeeding and no history of child vaccination(p<0.05 each). Logistic regression revealed family size of <5 members, pregnancy ?4 times, breastfeeding and vaccination were protective factors for stunting (p<0.05 each). Mortality of a child in the last 6 months in the family was 3 times more likely to have a stunted child.

Conclusions: Stunting was the most common type of under-nutrition with no sex discrimination.

Keywords: Developing countries, Malnutrition, Risk factors.

MeSH terms

  • Breast Feeding / statistics & numerical data*
  • Child Mortality
  • Child Nutrition Disorders / epidemiology*
  • Child, Preschool
  • Educational Status*
  • Family Characteristics*
  • Female
  • Growth Disorders / epidemiology
  • Humans
  • Infant
  • Infant Nutrition Disorders / epidemiology*
  • Literacy / statistics & numerical data*
  • Logistic Models
  • Male
  • Pakistan / epidemiology
  • Parity*
  • Risk Factors
  • Thinness / epidemiology
  • Vaccination / statistics & numerical data*
  • Wasting Syndrome / epidemiology