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

dc.contributor.authorGülü, 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.contributor.authorBarasinska, Magdalena
dc.contributor.authorGabryś, Tomasz
dc.date.accessioned2025-06-20T08:23:12Z
dc.date.available2025-06-20T08:23:12Z
dc.date.issued2023
dc.date.updated2025-06-20T08:23:12Z
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
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.cz
dc.format10
dc.identifier.document-number000940275400001
dc.identifier.doi10.3389/fnut.2023.1139179
dc.identifier.issn2296-861X
dc.identifier.obd43942396
dc.identifier.orcidGabryś, Tomasz 0000-0001-6607-8706
dc.identifier.urihttp://hdl.handle.net/11025/59547
dc.language.isoen
dc.relation.ispartofseriesFrontiers in Nutrition
dc.rights.accessA
dc.subjectadolescenten
dc.subjectchildhooden
dc.subjectpubertyen
dc.subjectoverweighten
dc.subjectbody mass indexen
dc.subjectnoncommunicable diseasesen
dc.subjectadolescencecz
dc.subjectdětstvícz
dc.subjectpubertacz
dc.subjectnadváhacz
dc.subjectbody mass indexcz
dc.subjectporuchy komunikacecz
dc.titleIs early or late biological maturation trigger obesity? A machine learning modeling research in Turkey boys and girlsen
dc.titleJe ranné či pozdější zrání spouštěčem obezity? Výzkum využívající modelování prostřednictvím strojového učení na chlapcích a dívkách v Tureckucz
dc.typeČlánek v databázi WoS (Jimp)
dc.typeČLÁNEK
dc.type.statusPublished Version
local.files.count1*
local.files.size1103204*
local.has.filesyes*
local.identifier.eid2-s2.0-85149384331

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