A Comprehensive Analysis of Factors Influencing Minimum Diet Achievement among Rural Women in Morocco

Background: Achieving minimum dietary diversity is essential for food security and well-being, particularly among vulnerable populations such as rural women in Morocco. However, socioeconomic, cultural, and environmental factors influence food consumption patterns, often limiting dietary adequacy. Methods: This study applies machine learning techniques (Cat-Boost with SHAP values) to analyze survey data from rural womenin Morocco. The analysis identifies key predictors of dietary diversity,assessing their relative importance and directional impact.Results: The findings indicate that household earnings, women’s household satisfaction, educational level, and market access positively contribute to dietary diversity, while social problems, excessive household workload, and reliance on self-produced food negatively impact food variety. The results underscore the need for economic empowerment, gender-sensitive policies, and improved rural market infrastructure to enhance dietary diversity. Conclusions: To improve dietary diversity among rural women, policymakers should focus on increasing economic opportunities, reducing social barriers, and addressing time constraints. Strengthening nutrition education, expanding food market access, and promoting women’s economic participation are essential for ensuring sustainable nutritional improvements. Future research should further explore longitudinal dietary trends and the effectiveness of targeted interventions in improving rural women’s dietary adequacy.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-28
DOI
https://doi.org/10.5281/zenodo.14944238
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

A Comprehensive Analysis of Factors Influencing Minimum Diet Achievement among Rural Women in Morocco

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

A Comprehensive Analysis of Factors Influencing Minimum Diet Achievement among Rural Women in Morocco

article en

Abstract

Background: Achieving minimum dietary diversity is essential for food security and well-being, particularly among vulnerable populations such as rural women in Morocco. However, socioeconomic, cultural, and environmental factors influence food consumption patterns, often limiting dietary adequacy. Methods: This study applies machine learning techniques (Cat-Boost with SHAP values) to analyze survey data from rural womenin Morocco. The analysis identifies key predictors of dietary diversity,assessing their relative importance and directional impact.Results: The findings indicate that household earnings, women’s household satisfaction, educational level, and market access positively contribute to dietary diversity, while social problems, excessive household workload, and reliance on self-produced food negatively impact food variety. The results underscore the need for economic empowerment, gender-sensitive policies, and improved rural market infrastructure to enhance dietary diversity. Conclusions: To improve dietary diversity among rural women, policymakers should focus on increasing economic opportunities, reducing social barriers, and addressing time constraints. Strengthening nutrition education, expanding food market access, and promoting women’s economic participation are essential for ensuring sustainable nutritional improvements. Future research should further explore longitudinal dietary trends and the effectiveness of targeted interventions in improving rural women’s dietary adequacy.

Zenodo (CERN European Organization for Nuclear Research)
Texas Tech University (US), École Nationale d'Agriculture de Meknès (MA), Nippon Institute of Technology (JP)
Gender equality
Openalex Percentile: Top 50%
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.