CHILDHOOD UNDER-NUTRITION AND MATERNAL DETERMINANTS: FINDINGS FROM MATISI PERI-URBAN, TRANS-NZOIA COUNTY.

Background: Under-nutrition is a serious public health problem facing the under -fives worldwide and especially in developing countries and the causes are multi factorial. Almost 90% of malnourished children are from developing countries. About 60% of all deaths, occurring among children aged less than five years in developing countries, could be attributed to under-nutrition. Mothers’ level of education may influence the food choice, child care and feeding practices and the income levels which may impact on the child’s food intake and lead either to good or poor nutritional status. Aims: To assess the prevalence of under-nutrition in the under-five children and the associated maternal characteristics. Methods: A cross-sectional survey design was used. Mother – preschooler pairs (n= 208) were recruited. The population was peri- urban based and in a slum setting. Children’s anthropometric measurements (body weight, height, and MUAC) were taken. Interviewer administered questionnaire were used. Data was analyzed using SPSS version 17.0. Chi square test of association and logistic regression was used to examine the effects of maternal factors on the prevalence of under-nutrition. Epi- Info version 3.4.3 analyzed anthropometric data to get z scores (SD) indices of HAZ, WHZ and WAZ. Results: Under-nutrition by stunting, underweight and wasting was (24%), (21.6%) and (5.3%) respectively. Parity was associated with stunting among the under-fives (p=0.019 OR 2.28, 95% CI 1.15-4.55). Conclusion: Maternal parity, household headship, marital status and maternal education level are significant factors associated with under-nutrition.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-09
DOI
https://doi.org/10.5281/zenodo.14621224
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CHILDHOOD UNDER-NUTRITION AND MATERNAL DETERMINANTS: FINDINGS FROM MATISI PERI-URBAN, TRANS-NZOIA COUNTY.

Zenodo (CERN European Organization for Nuclear Research)
Child Nutrition and Water Access
article

CHILDHOOD UNDER-NUTRITION AND MATERNAL DETERMINANTS: FINDINGS FROM MATISI PERI-URBAN, TRANS-NZOIA COUNTY.

article en

Abstract

Background: Under-nutrition is a serious public health problem facing the under -fives worldwide and especially in developing countries and the causes are multi factorial. Almost 90% of malnourished children are from developing countries. About 60% of all deaths, occurring among children aged less than five years in developing countries, could be attributed to under-nutrition. Mothers’ level of education may influence the food choice, child care and feeding practices and the income levels which may impact on the child’s food intake and lead either to good or poor nutritional status. Aims: To assess the prevalence of under-nutrition in the under-five children and the associated maternal characteristics. Methods: A cross-sectional survey design was used. Mother – preschooler pairs (n= 208) were recruited. The population was peri- urban based and in a slum setting. Children’s anthropometric measurements (body weight, height, and MUAC) were taken. Interviewer administered questionnaire were used. Data was analyzed using SPSS version 17.0. Chi square test of association and logistic regression was used to examine the effects of maternal factors on the prevalence of under-nutrition. Epi- Info version 3.4.3 analyzed anthropometric data to get z scores (SD) indices of HAZ, WHZ and WAZ. Results: Under-nutrition by stunting, underweight and wasting was (24%), (21.6%) and (5.3%) respectively. Parity was associated with stunting among the under-fives (p=0.019 OR 2.28, 95% CI 1.15-4.55). Conclusion: Maternal parity, household headship, marital status and maternal education level are significant factors associated with under-nutrition.

Zenodo (CERN European Organization for Nuclear Research)
University of Eldoret (KE)
No poverty
Openalex Percentile: Top 46%
Child Nutrition and Water Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.