Is early or late biological maturation trigger obesity? A machine learning modeling research in Turkey boys and girls

Basit Öğe Kaydı
dc.authoridYAGIN, Fatma Hilal/0000-0002-9848-7958
dc.authoridGulu, Mehmet/0000-0001-7633-7900
dc.authoridIrandoust, Khadijeh/0000-0001-5839-9753
dc.authoridMorteza, Taheri/0000-0001-8031-3792
dc.contributor.authorGulu, Mehmet
dc.contributor.authorYagin, Fatma Hilal
dc.contributor.authorYapici, Hakan
dc.contributor.authorIrandoust, Khadijeh
dc.contributor.authorDogan, Ali Ahmet
dc.contributor.authorTaheri, Morteza
dc.contributor.authorSzura, Ewa
dc.date.accessioned2025-01-21T16:42:14Z
dc.date.available2025-01-21T16:42:14Z
dc.date.issued2023
dc.departmentKırıkkale Üniversitesi
dc.description.abstractBiological maturation status can affect individual differences, sex, height, body fat, and body weight in adolescents and thus may be associated with obesity. The primary aim of this study was to examine the relationship between biological maturation and obesity. Overall, 1,328 adolescents (792 boys and 536 girls) aged 12.00 +/- 0.94-12.21 +/- 0.99 years, respectively (measured for body mass, body stature, sitting stature). Body weights were deter-mined with Tanita body analysis system and adolescent obesity status was calculated according to the WHO classification. Biological maturation was determined according to the somatic maturation method. Our results showed that boys mature 3.077-fold later than girls. Obesity was an increasing effect on early maturation. It was determined that being obese, overweight and healthy-weight increased the risk of early maturation 9.80, 6.99 and 1.81-fold, respectively. The equation of the model predicting maturation is: Logit (P) = 1/(1 + exp. (- (-31.386 + sex-boy * (1.124) + [chronological age = 10] * (-7.031) + [chronological age = 11] * (-4.338) + [chronological age = 12] * (-1.677) + age * (-2.075) + weight * 0.093 + height * (-0.141) + obesity * (-2.282) + overweight * (-1.944) + healthy weight * (-0.592)))). Logistic regression model predicted maturity with 80.7% [95% CI: 77.2-84.1%] accuracy. In addition, the model had a high sensitivity value (81.7% [76.2-86.6%]), which indicates that the model can successfully distinguish adolescents with early maturation. In conclusion, sex and obesity are independent predictors of maturity, and the risk of early maturation is increased, especially in the case of obesity and in girls.
dc.description.sponsorshipEuropean Union [CZ.02.2.69/0.0/0.0/18_054/0014627]
dc.description.sponsorshipPublished with the financial support of the European Union, as part of the project entitled Development of capacities and environment for boosting the international, intersectoral, and interdisciplinary cooperation At UWB, project reg. no.CZ.02.2.69/0.0/0.0/18_054/0014627.
dc.identifier.doi10.3389/fnut.2023.1139179
dc.identifier.issn2296-861X
dc.identifier.pmid36866053
dc.identifier.scopus2-s2.0-85149384331
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3389/fnut.2023.1139179
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25027
dc.identifier.volume10
dc.identifier.wosWOS:000940275400001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherFrontiers Media Sa
dc.relation.ispartofFrontiers In Nutrition
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectadolescent; childhood; puberty; overweight; body mass index; noncommunicable diseases
dc.titleIs early or late biological maturation trigger obesity? A machine learning modeling research in Turkey boys and girls
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu