Evidence map›Paper›PMID 40893207›Full record

ArticleFrontiers in public health2025

Wealth and regional disparities in child undernutrition: insights from national demographic and health survey.

Lijing Tan, Muhammad Shahid, Jiayi Song, Hafiz Muhammad Naveed, Itbar Khan

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lijing Tan *School of Management, Shenzhen University of Information Technology, Shenzhen, China.
Muhammad Shahid *College of Management, Shenzhen University, Shenzhen, China.
Jiayi SongSchool of Healthcare Management, Tsinghua University, Beijing, China.
Hafiz Muhammad NaveedCollege of Management, Shenzhen University, Shenzhen, China.
Itbar KhanBusiness School, Xiamen Institute of Technology, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In developing countries like Pakistan, the prevalence of malnutrition embodies a multifaceted development challenge, intricately linked to structural inequalities, with disproportionate burdens among socioeconomically and geographically disadvantaged populations. Methods: Drawing on the most recent Pakistan Demographic and Health Survey (2017-18), this study examines the magnitude of child undernutrition disparities across wealth quintiles and geographic regions. This study employs the Concentration Index (CI) with decomposition analysis, alongside Oaxaca-Blinder decomposition as robust. Results: The results of the concentration index reveal that child undernutrition in Pakistan is deeply rooted in socioeconomic disparities, with household wealth contributing the largest share (45.6%) to overall inequality. The negative values of both relative and absolute CI confirm a pronounced pro-poor concentration of malnutrition. Regional disparities also play a significant role, with Sindh, Khyber Pakhtunkhwa, Balochistan, and FATA jointly accounting for 12.9% of inequality. Notably, maternal illiteracy emerges as a critical determinant, explaining 24.1% of the observed nutritional inequity. The results of the OaxacaBlinder decomposition disclose a pronounced wealth gap in child malnutrition, with poor households experiencing a 25.5 percentage point higher likelihood of malnutrition compared to their wealthier counterparts. Approximately 65% of the explained disparity is attributed to household wealth status, maternal education, and geographic region, underscoring the structural nature of nutritional inequalities in Pakistan. Conclusion: The study concludes that child malnutrition in Pakistan is fundamentally a structural equity issue. Addressing this issue requires multisectoral policy interventions focused on economic empowerment, regional development, and girls' education to break the intergenerational cycle of undernutrition. Moreover, Pakistan's extreme concentration of wealth and regional marginalization create distinct disparities that standard regional models do not fully capture. The dominance of wealth and regional factors, accounting for 65% of the explained gap, highlights the need for structural solutions, such as wealth redistribution and provincial equity funds, rather than isolated health interventions.

Indexed as

Child Nutrition DisordersHealth Status DisparitiesIncomeSocial Determinants of HealthAdolescentChildChild, PreschoolDemographyFemaleHealth SurveysHumansInfantInfant, NewbornMalePakistanPrevalencechild undernutritionconcentration indexOaxaca-Blinder decompositionsocio-economic inequalitieswealth and regional disparities

Identifiers

PMID40893207
PMCPMC12394046

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.