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

dc.authoridirandoust, khadijeh/0000-0001-5839-9753
dc.authoridTaheri, Morteza/0000-0001-8031-3792
dc.authoridYagin, Fatma Hilal/0000-0002-9848-7958
dc.authoridGulu, Mehmet/0000-0001-7633-7900
dc.authorwosidDoğan, Ali Ahmet/AAC-6925-2021
dc.authorwosidirandoust, khadijeh/ABH-3519-2021
dc.authorwosidGabrys, Tomasz/L-1132-2019
dc.authorwosidyapici, hakan/ACK-3335-2022
dc.authorwosidTaheri, Morteza/N-5170-2016
dc.authorwosidYagin, Fatma Hilal/ABI-8066-2020
dc.authorwosidGulu, Mehmet/AAP-8658-2020
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.accessioned2024-08-04T20:53:31Z
dc.date.available2024-08-04T20:53:31Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
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.en_US
dc.description.sponsorshipEuropean Union [CZ.02.2.69/0.0/0.0/18_054/0014627]en_US
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.en_US
dc.identifier.doi10.3389/fnut.2023.1139179
dc.identifier.issn2296-861X
dc.identifier.pmid36866053en_US
dc.identifier.scopus2-s2.0-85149384331en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3389/fnut.2023.1139179
dc.identifier.urihttps://hdl.handle.net/11616/101204
dc.identifier.volume10en_US
dc.identifier.wosWOS:000940275400001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherFrontiers Media Saen_US
dc.relation.ispartofFrontiers in Nutritionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectadolescenten_US
dc.subjectchildhooden_US
dc.subjectpubertyen_US
dc.subjectoverweighten_US
dc.subjectbody mass indexen_US
dc.subjectnoncommunicable diseasesen_US
dc.titleIs early or late biological maturation trigger obesity? A machine learning modeling research in Turkey boys and girlsen_US
dc.typeArticleen_US

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