Evidence map›Paper›PMID 41959854›Full record

ArticleActa medica Philippina2026

Nutritional Status of Children 0-59 Months Old and Household Enrollment in the

Angelita C Jaya, Hannah Grace D Pugong, Daryne Aya H Bolla, Edelmer B Azcueta, Charlie C Falguera

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Article in Acta medica Philippina, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Angelita C JayaSchool of Health Sciences, University of the Philippines Manila, Palo, Leyte, Philippines.
Hannah Grace D PugongSchool of Health Sciences, University of the Philippines Manila, Palo, Leyte, Philippines.
Daryne Aya H BollaSchool of Health Sciences, University of the Philippines Manila, Palo, Leyte, Philippines.
Edelmer B AzcuetaSchool of Health Sciences, University of the Philippines Manila, Palo, Leyte, Philippines.
Charlie C FalgueraSchool of Health Sciences, University of the Philippines Manila, Palo, Leyte, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Child malnutrition is a prevailing global public health concern especially in low- and middle-income countries. Conditional cash transfer (CCT) programs were implemented to help address this problem. Objective: To determine the relationship between the nutritional status among 0-59 months old children and household enrollment in a Philippine CCT program, Methods: A cross-sectional study was employed to 392 children and mothers/primary caregivers in a rural municipality in Leyte. Stratified random sampling technique was used in selecting the participants. Anthropometric characteristics were measured for these 392 children and were classified as 4Ps and non-4Ps members. Chi-square test was used to determine the relationship between the variables of interest. Results: 4Ps household beneficiaries had mothers/primary caregivers who were older and had fewer years of education. The 4Ps beneficiary households had more household members and had lower average monthly income compared to the non-beneficiaries. No significant differences were found between the 4Ps beneficiary and non-beneficiary households in terms of the household hunger scale, the mean age of the children, and the sex distribution of the children included in the study. Specific profile components were found to be correlated to the children's nutritional status. The age of the children was significantly associated to their length/height-for-age (L/HFA) wherein stunting was noted to occur among children older than 12 months of age. Maternal education was significantly associated to the weight-for-age (WFA) of the children. Children who were underweight had mothers/primary caregivers with fewer years of education. No significant correlation was found between the child's sex, age of the mother/primary caregiver, household size, average monthly household income, and household hunger scale and the children's nutritional status Lastly, there was no significant correlation between 4Ps household enrollment and the WFA and L/HFA status of the children. 4Ps household enrollment was, however, significantly correlated to the weight-for-length/height (WFL/H) or wasting status of the children. Conclusion: The 4Ps program has the potential to enhance the nutritional outcomes of children hence the need to maximize its gains. In addition, the relationship of different sociodemographic variables with the children's nutritional status reflects the complexity and multidimensionality of childhood malnutrition, implying the need for a holistic and multistakeholder approach in addressing the problem.

Indexed as

child nutritionconditional cash transfersPhilippinesrural municipality

Identifiers

PMID41959854
PMCPMC13060564

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.