Investigating the association between nutrient intake and food insecurity among children and adolescents in palestine using machine learning techniques

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dc.authorscopusidRadwan Qasrawi / 57212263325
dc.authorwosidRadwan Qasrawi / AAA-6245-2019
dc.contributor.authorQasrawi, Radwan
dc.contributor.authorSgahir, Sabri
dc.contributor.authorNemer, Maysaa
dc.contributor.authorHalaikah, Mousa
dc.contributor.authorBadrasawi, Manal
dc.contributor.authorAmro, Malak
dc.contributor.authorVicuna Polo, Stephanny
dc.contributor.authorAbu Al-Halawa, Diala
dc.contributor.authorMujahed, Doa’a
dc.contributor.authorNasreddine, Lara
dc.contributor.authorElmadfa, Ibrahim
dc.contributor.authorAtari, Siham
dc.date.accessioned2025-04-18T10:50:28Z
dc.date.available2025-04-18T10:50:28Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractFood 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 indicated that food insecurity was significantly associated with dietary nutrient intake and sociodemographic factors, such as age, gender, income, and location. Indeed, 18.2% of the children were found to be food-insecure. A significant correlation was evidenced between inadequate consumption of various nutrients below the recommended dietary allowance and food insecurity. Specifically, insufficient protein, vitamin C, fiber, vitamin B12, vitamin B5, vitamin A, vitamin B1, manganese, and copper intake were found to have the highest rates of food insecurity. In addition, children residing in refugee camps experienced significantly higher rates of food insecurity. The findings emphasize the multilayered nature of food insecurity and its impact on children, emphasizing the need for personalized interventions addressing nutrient deficiencies and socioeconomic factors to improve children's health and well-being.
dc.identifier.citationQasrawi, R., Sgahir, S., Nemer, M., Halaikah, M., Badrasawi, M., Amro, M., ... & Al-Jawaldeh, A. (2024). Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques. Children, 11(6), 625.
dc.identifier.doi10.3390/children11060625
dc.identifier.endpage15
dc.identifier.issn2227-9067
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85196895549
dc.identifier.scopusqualityQ2
dc.identifier.startpage1
dc.identifier.urihttp://dx.doi.org/10.3390/children11060625
dc.identifier.urihttps://hdl.handle.net/20.500.12713/7211
dc.identifier.volume11
dc.identifier.wosWOS:001254629400001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorQasrawi, Radwan
dc.institutionauthoridRadwan Qasrawi / 0000-0001-8671-7026
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofCHILDREN-BASEL Children-basel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectFood Insecurity
dc.subjectNutrient Intake
dc.subjectMachine Learning
dc.subjectSociodemographic Factors
dc.subjectSocioeconomic Disparities
dc.subjectChildren
dc.titleInvestigating the association between nutrient intake and food insecurity among children and adolescents in palestine using machine learning techniques
dc.typeArticle

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