2024
DOI: 10.3389/fpubh.2024.1371420
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Body mass composition analysis as a predictor of overweight and obesity in children and adolescents

Bartosz Aniśko,
Idzi Siatkowski,
Małgorzata Wójcik

Abstract: IntroductionBody mass composition is directly related to health and its disorders are correlated with diseases such as obesity, diabetes, osteoporosis and sarcopenia. The purpose of this study was to analyze body mass composition among traditional elementary school students and ballet school students.MethodsA total of 340 students participated in the study, 95 of whom attended ballet school and 245 elementary school students. A Tanita BC-418 MA analyzer was used to analyze body mass composition. Such body comp… Show more

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“…Although aspects of brightness and noise were taken care of, this type of assessment could bias the performance of some students due to a loss of concentration or the pressure of being exposed to a group. On the other hand, this type of study can contribute to the association of variables, such as body mass composition, that could be related to fitness [60], so it could be interesting to continue investigating this type of variable and others through longitudinal analyses. Likewise, we recommend considering the inclusion of additional variables in future research, such as the sleep time of students, their nutritional status, and their academic level, to avoid potential biases in the obtained findings.…”
Section: Discussionmentioning
confidence: 99%
“…Although aspects of brightness and noise were taken care of, this type of assessment could bias the performance of some students due to a loss of concentration or the pressure of being exposed to a group. On the other hand, this type of study can contribute to the association of variables, such as body mass composition, that could be related to fitness [60], so it could be interesting to continue investigating this type of variable and others through longitudinal analyses. Likewise, we recommend considering the inclusion of additional variables in future research, such as the sleep time of students, their nutritional status, and their academic level, to avoid potential biases in the obtained findings.…”
Section: Discussionmentioning
confidence: 99%