Investigation of Underlying Association between Anthropometric and Cardiorespiratory Fitness Markers among Overweight and Obese Adolescents in Canada

Mario Leone (), Hung Tien Bui, Emilia Kalinova, Jean Lemoyne, Dominic Gagnon, Luc Léger, Georges Larivière and Maxime Allisse
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Mario Leone: Département des Sciences de la Santé, Université du Québec à Chicoutimi, 555 Boulevard de l’Université, Saguenay, QC G7H 2B1, Canada
Hung Tien Bui: Département des Sciences de la Santé, Université du Québec à Chicoutimi, 555 Boulevard de l’Université, Saguenay, QC G7H 2B1, Canada
Emilia Kalinova: Département des Sciences de L’activité Physique, Université du Québec à Montréal, Montréal, QC H2X 1Y4, Canada
Jean Lemoyne: Département des Sciences de L’activité Physique, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada
Dominic Gagnon: Jonquière Medic, Saguenay, QC G7X 7W6, Canada
Luc Léger: École de Kinésiologie et des Sciences de L’activité Physique, Université de Montréal, Montreal, QC H3C 3J7, Canada
Georges Larivière: École de Kinésiologie et des Sciences de L’activité Physique, Université de Montréal, Montreal, QC H3C 3J7, Canada
Maxime Allisse: Département des Sciences de la Santé, Université du Québec à Chicoutimi, 555 Boulevard de l’Université, Saguenay, QC G7H 2B1, Canada

IJERPH, 2024, vol. 21, issue 4, 1-26

Abstract: Background: Adolescents who experience overweight or obesity commonly persist in these conditions into adulthood, thereby elevating their vulnerability to health issues. The focus of this study is on health risk markers such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body surface area (BSA), and cardiorespiratory fitness (CRF). The objectives include updating normative values for BMI, WC, WHtR, and BSA in Canadian adolescents, establishing cardiometabolic risk zones, and developing a composite score considering both anthropometric and CRF markers. Methods: Involving 1864 adolescents, the study used the LMS method to generate percentile norms, stratified by age and sex. Cardiometabolic risk zones were established for each marker based on Z-scores, and a composite score was created. Results: An increase in WC of 5.8 and 7.4 cm for boys and girls, respectively, was observed since 1981. Forward multiple regression analyses were conducted to assess the robustness and validity of the proposed model. The results indicated that the model explained nearly 90% (R 2 = 0.890) of the common variance between the composite score and the retained independent variables. Moreover, the model demonstrated a mean absolute error (MAE) of approximately 6 percentiles, confirming its high precision. Furthermore, these analyses yielded key thresholds for identifying adolescents at risk: the 70th percentile for high cardiometabolic risk and the 85th percentile for very-high risk. Conclusions: Individually, WC or WHtR seem to be better markers for evaluating cardiometabolic risk than BMI during adolescence. However, CRF showed comparable importance to anthropometric markers in determining cardiometabolic risk. The simultaneous inclusion of anthropometric and CRF markers provides a better picture of the global cardiometabolic risk in adolescents.

Keywords: body composition; maximal functional aerobic power; VO 2 peak; youth; cardiometabolic risk (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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