Malak Amro
Biographic Data
| ID | 4465956 |
|---|---|
| NAME | Malak Amro |
| GIVEN NAMES | Malak |
| FAMILY NAME | Amro |
| SIGNATURE | AMRO M |
| AFFILIATIONS | Al-Quds University |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The impact of online food delivery applications on dietary pattern disruption in the Arab region
Background: While online food delivery applications (OFDAs) offer convenient food accessibility, their impact on dietary behaviors remains insufficiently explored, especially in the Arab region. This study applies machine learning (ML) techniques to identify the key behavioral and nutritional factors contributing to dietary disruption linked to OFD platforms. Methods: We conducted a cross-sectional study which involved 7,370 adults across 10 Arab…
Determinants of Child Growth in Palestine (Ages 5–17): A Structural Equation Modeling Approach to Food Insecurity, Nutrition, and Socioeconomic Factors
Background : The growth patterns of children and adolescents are influenced by multiple factors. This study employed structural equation modeling (SEM) to determine the primary factors influencing the growth of Palestinian children and adolescents in the West Bank (WB). Methods : A cross-sectional survey conducted in 2022 in the WB collected data from 1400 households, of which 500 with children aged 5-17 years and were selected for analysis. The …
The impact of digital literacy and internet usage on health behaviors and decision-making in Arab Mena countries
The association between food preferences, eating behavior, and body weight among female university students in the United Arab Emirates
Introduction This cross-sectional study investigated the associations between lifestyle, eating habits, food preferences, consumption patterns, and obesity among female university students in the United Arab Emirates (UAE). Methods Approximately 4,728 participants, including both Emirati and Non-Emirati students (International Students). Data collection involved face-to-face interviews and anthropometric measurements, showing an interrelated rela…
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 results…
Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years
This study provides insights into the differential risks for growth issues among children, offering valuable information for targeted interventions and policymaking
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The association between food preferences, eating behavior, and body weight among female university students in the United Arab Emirates
Introduction This cross-sectional study investigated the associations between lifestyle, eating habits, food preferences, consumption patterns, and obesity among female university students in the United Arab Emirates (UAE). Methods Approximately 4,728 participants, including both Emirati and Non-Emirati students (International Students). Data collection involved face-to-face interviews and anthropometric measurements, showing an interrelated rela…
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 results…
Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years
This study provides insights into the differential risks for growth issues among children, offering valuable information for targeted interventions and policymaking
The impact of online food delivery applications on dietary pattern disruption in the Arab region
Background: While online food delivery applications (OFDAs) offer convenient food accessibility, their impact on dietary behaviors remains insufficiently explored, especially in the Arab region. This study applies machine learning (ML) techniques to identify the key behavioral and nutritional factors contributing to dietary disruption linked to OFD platforms. Methods: We conducted a cross-sectional study which involved 7,370 adults across 10 Arab…
Determinants of Child Growth in Palestine (Ages 5–17): A Structural Equation Modeling Approach to Food Insecurity, Nutrition, and Socioeconomic Factors
Background : The growth patterns of children and adolescents are influenced by multiple factors. This study employed structural equation modeling (SEM) to determine the primary factors influencing the growth of Palestinian children and adolescents in the West Bank (WB). Methods : A cross-sectional survey conducted in 2022 in the WB collected data from 1400 households, of which 500 with children aged 5-17 years and were selected for analysis. The …
The impact of digital literacy and internet usage on health behaviors and decision-making in Arab Mena countries
Environmental health (5 works) · Medicine (5 works) · Biology (4 works) · Agriculture (3 works) · Child Nutrition and Water Access (3 works) · Economics (3 works) · Food insecurity (3 works) · Food security (3 works) · Food Security and Health in Diverse Populations (3 works) · Geography (3 works)