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Prevalence and factors associated with underweight children: a population-based subnational analysis from Pakistan
Ramesh Kumar1, Faisal Abbas2,3, Tahir Mahmood2,4
1Health Systems and Policy Department, Health Services Academy, Islamabad, Pakistan.
Insights
Underweight children under 5 in Punjab, Pakistan, affects 33.3% moderately and 11.3% severely. Older age, female gender, higher birth order, and childhood diarrhea significantly increase underweight risk.
Area of Science:
- Pediatric Nutrition
- Public Health
- Epidemiology
Background:
- Underweight children under 5 represent a significant public health concern in Punjab, Pakistan.
- Identifying associated factors is crucial for developing targeted interventions.
Purpose of the Study:
- To determine the prevalence of underweight children under 5 in Punjab, Pakistan.
- To identify factors associated with underweight status in this population.
Main Methods:
- Analysis of cross-sectional, household-level data from the Multiple Indicator Cluster Survey.
- Involved 24,042 children under 5 years of age in Punjab, Pakistan.
- Multilevel multivariate logistic regression was employed for data analysis.
Main Results:
- The prevalence of moderate and severe underweight was 33.3% and 11.3%, respectively.
- Risk factors included older age, female gender, birth order of three or more, and history of diarrhea.
- Smaller child size at birth was also a significant determinant of underweight status.
Conclusions:
- Urgent community-based interventions are needed to address the high prevalence of underweight children in Punjab.
- Improving mothers' education and nutritional awareness is recommended.
Objectives:
This study aims to determine the prevalence of and factors associated with underweight children under the age of 5 in Punjab, Pakistan.
Design:
We analysed cross-sectional household-level subnationally representative Multiple Indicator Cluster Survey.
Settings:
Punjab province, Pakistan.
Participants:
24 042 children under 5 years of age.
Data Analysis:
Multilevel multivariate logistic regression analysis.
Results:
Prevalence of moderately and severely underweight children was found to be (33.3% and 11.3%, respectively). Multivariate multilevel logistic regression results show that as the child grows older the likelihood of the child being underweight increases significantly (eg, children between 12 and 23 months are one and half times more likely to be underweight, whereas children between the ages of 36 and 47 months are two and a half times more likely to be underweight). Gender was found to be another significant factor contributing to underweight prevalence among children under the age of 5. The likelihood of a girl child being underweight is more than that of a boy child being underweight (OR 0.92, 95% CI 0.8 to 1.0). Similarly, a child whose birth order is three or more is two times more likely to be underweight (OR 1.96, 95% CI 1.5 to 2.5) relative to a child of a lower birth order. Moreover, diarrhoea also significantly increases the likelihood of the child being underweight (OR 1.31, 95% CI 1.1 to 1.5). Child size is another determinant for underweight prevalence among children under 5, for example, a child with a size smaller than average at the time of birth is 2.7 times more likely to be moderately underweight than a child with an average or larger than average size at the time of birth.
Conclusion:
Rigorous community-based interventions should be developed and executed throughout the province to improve this grave situation of underweight prevalence in Punjab. Mother's education should be uplifted by providing them formal education and providing awareness about the importance of proper nutrition for children.
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