ArticleBMC public health2020
Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014).
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Is Early Childhood Development Care at Public Health Facilities in Pakistan Effective? A Cluster Randomized Controlled Trial.Global health, science and practice · 2023Trial
- Household water, sanitation, and hygiene access and its impact on nutritional outcomes in children under five: evidence from Pakistan.BMC public health · 2026Article
- Double burden of malnutrition: Prevalence of anemia among children with severe acute malnutrition in Tharparkar, Pakistan.BMC pediatrics · 2026Article
- Machine learning vs. traditional logistic regression: predictive performance and risk factor identification for child nutritional outcome in Pakistan.BMC public health · 2025Article
- Article
- Assessing the relative significance of key risk factors for child undernutrition in Punjab, Pakistan.BMC public health · 2025Article
- Soil-transmitted helminth infections and nutritional indices among children (5-9 years) and adolescents (10-12 years) in Calabar, Nigeria.BMC public health · 2025Article
- Analysis of the impact of parents' electronic screen time habits, young children's screen exposure and parent-child interaction on language development delay in young children.Frontiers in pediatrics · 2025Article
- Bridging the nutrition divide: understanding poverty-linked inequalities in under-five children health in Pakistan.Frontiers in public health · 2025Article
- Inequality of opportunity in child nutrition in Pakistan.PloS one · 2025Article
- Article
- Small-area estimation and analysis of HIV/AIDS indicators for precise geographical targeting of health interventions in Nigeria. a spatial microsimulation approach.International journal of health geographics · 2023Article
- Article
- Spatiotemporal Variations and Determinants of Under-Five Stunting in Ethiopia.Food and nutrition bulletin · 2023Article
- Safely managed sanitation practice and childhood stunting among under five years old children in Myanmar.PloS one · 2023Article
- Determinants of the food insecurity at household level in Pakistan: A multilevel model approach.PloS one · 2023Article
- Determinants of Child Stunting, Wasting, and Underweight: Evidence from 2017 to 2018 Pakistan Demographic and Health Survey.Journal of nutrition and metabolism · 2023Article
- Patterns of Socioeconomic Inequities in SDGs Relating to Children's Well-Being in Thailand and Policy Implications.International journal of environmental research and public health · 2022Article
- Establishing Height-for-Age Z-Score Growth Reference Curves and Stunting Prevalence in Children and Adolescents in Pakistan.International journal of environmental research and public health · 2022Article
- Spatial and Machine Learning Approach to Model Childhood Stunting in Pakistan: Role of Socio-Economic and Environmental Factors.International journal of environmental research and public health · 2022Article
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4 authors.
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Abstract
backgroundPakistan is facing a serious problem of child under-nutrition as about 38% of children in Pakistan are stunted. Punjab, the largest province by population and contributes high gross domestic product (GDP) share in economy has reported 27% moderately and 10% severely stunted children of less than 5 years. Thus, this study aims at examining the determinants of stunting (moderate and severe) at different level of hierarchy empirically in Punjab province of Pakistan. METHODOLOGY: Data for this study is coming from Punjab Multiple Indicators Cluster Survey (MICS-2014), used two-stage, stratified cluster sampling approach. Sub-national level data covering urban and rural areas were used for this study consists of 25,067 children less than 5 year's ages, from nine administrative divisions and 36 districts of Punjab province of Pakistan. Descriptive statistics and multilevel hierarchical models were estimated. Multilevel data analyses have an advantage because it provides robust standard error estimates and helps in finding variation in the data at various levels.
resultsPunjab has a stunting prevalence of about 27% moderately and 10% severely stunted children of less than 5 years. The results depict that increasing the age of the child, increasing birth order, illiterate mothers and fathers, lack of sanitation facilities and being poor are associated significantly with the likelihood of moderate and severe stunting. Surprisingly, there is a gender bias in stunting in Punjab, Pakistan and being a girl child is more likely associated with moderate and severe stunting, which shows the patriarchal nature of the society and a substantial prevalence of gender bias in household resource allocations.
conclusionThis outcome of our analysis points towards targeting not only households (focus on girls) but also their families and communities.
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