Cluster analysis and classification model of nutritional anemia associated risk factors among schoolchildren

Basit Öğe Kaydı
dc.authoridRadwan Qasrawi / 0000-0001-8671-7026en_US
dc.authorscopusidRadwan Qasrawi / 57212263325
dc.authorwosidRadwan Qasrawi / AAA-6245-2019
dc.contributor.authorAbu Al-Halawa, Diala
dc.contributor.authorQasrawi, Radwan
dc.date.accessioned2022-04-18T14:29:37Z
dc.date.available2022-04-18T14:29:37Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractNutritional inadequacy has been a major health problem worldwide. One of the many health problems that result from it is anemia. Anemia is considered a health concern among all ages, particularly children, as it has been associated with cognitive and developmental delays. Researchers have investigated the association between nutritional deficiencies and anemia through various methods. As novel analytical methods are needed to ascertain the association and reveal indirect ones, we aimed to classify nutritional anemia using the cluster analysis approach. In this study, we included 4,762 students aged between 10 and 17 years attending public and UNRWA schools in the West Bank. Students’ 24-h food recall and blood sample data were collected for nutrient intake and hemoglobin analysis. The K-means cluster analysis was used to cluster the hemoglobin levels into two groups. Vitamin B12, folate, and iron intakes were used as the indicators of nutrient intake associated with anemia and were classified as per the Recommended Dietary Allowance (RDA) values. We applied the Classification and Regression Tree (CRT) model for studying the association between hemoglobin clusters and vitamin B12, folate, and iron intakes, sociodemographic variables, and health-related risk factors, accounting for grade and age. Results indicated that 46.4% of the students were classified into the low hemoglobin cluster, and 60.7, 72.5, and 30.3% of vitamin B12, folate, and iron intakes, respectively, were below RDA. The CRT analysis indicated that vitamin B12, iron, and folate intakes are important factors related to anemia in girls associated with age, locality, food consumption patterns, and physical activity levels, while iron and folate intakes were significant factors related to anemia in boys associated with the place of residence and the educational level of their mothers. The deployment of clustering and classification techniques for identifying the association between anemia and nutritional factors might facilitate the development of nutritional anemia prevention and intervention programs that will improve the health and wellbeing of schoolchildren.en_US
dc.identifier.citationAbu Al-Halawa, D., Qasrawi, R. (2022). Cluster analysis and classification model of nutritional anemia associated risk factors among schoolchildren. Nutrition and Sustainable Diets, 9.en_US
dc.identifier.doi10.3389/fnut.2022.838937en_US
dc.identifier.scopus2-s2.0-85130737951en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/:10.3389/fnut.2022.838937
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2641
dc.identifier.volume9en_US
dc.identifier.wosWOS:000803970700001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorQasrawi, Radwan
dc.language.isoenen_US
dc.publisherFrontiers in Nutritionen_US
dc.relation.ispartofNutrition and Sustainable Dietsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNutritional Anemiaen_US
dc.subjectAnemia Classificationen_US
dc.subjectCluster Analysisen_US
dc.subjectClassification Modelen_US
dc.subjectClassification and Q8 Regression Treeen_US
dc.subjectSchoolchildrenen_US
dc.titleCluster analysis and classification model of nutritional anemia associated risk factors among schoolchildrenen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
Cluster Analysis.pdf
Boyut:
1.51 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
Ä°ndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
Ä°ndir

Koleksiyon

Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu
Cerrahi Tıp Bilimleri Bölümü Makale Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu