Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years.

Background: Food insecurity significantly impacts children's health, affecting their development across cognitive, physical, and socio-emotional dimensions. This study explores the impact of food insecurity among children aged 6 months to 5 years, focusing on nutrient intake and its relationship with various forms of malnutrition.

Methods: Utilizing machine learning algorithms, this study analyzed data from 819 children in the West Bank to investigate sociodemographic and health factors associated with food insecurity and its effects on nutritional status.

Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques.

Food insecurity is a public health concern that affects children worldwide, yet it represents a particular burden for low- and middle-income countries. This study aims to utilize machine learning to identify the associations between food insecurity and nutrient intake among children aged 5 to 18 years. The study's sample encompassed 1040 participants selected from a 2022 food insecurity household conducted in the West Bank, Palestine.

The national health program for vitamin D supplementation in a developing country.

Background: Previous studies have reported a high frequency of vitamin D deficiency (VDD) among different age groups in Iran.

Aims: In this study, the current coverage, status of vitamin D supplement taking, and program efficacy have been evaluated by the Office of Nutrition Department Society in Iran since 2014.

Methods: This study was conducted in collaboration with the International UNESCO center for Health-Related Basic Sciences and Human Nutrition and the Office of Nutrition Department Society.

Association of Household Food Insecurity With Dietary Intakes and Nutrition-Related Knowledge, Attitudes, and Practices Among School-Aged Children in Gaza Strip, Palestine.

Background: The present study aimed to determine the association of household food insecurity with dietary intakes and nutrition-related knowledge, attitudes, and practices (KAP) among school-aged children.

Methods: This cross-sectional study was conducted among a representative sample of school-aged children. A total of 380 children and their parents were selected from all Gaza strip governorates, using a random sampling method.

Households' Food Insecurity and Its Association with Demographic and Socioeconomic Factors in Gaza Strip, Palestine: A Cross-Sectional Study.

Background: This sudy aimed to identify the prevalence of household's food insecurity and its association with demographic and socioeconomic factors.

Methods: A cross-sectional study was conducted in September 2021 among a representative sample of households in the Gaza strip governorates. A total of 1167 households randomly selected from all five governorates and were included in the study.