Publicação
Anthropometric and morphological correlations of fat accumulation in active mesomorphic phenotypes: A cross-sectional observational study
| Resumo: | Background: Although military personnel typically present lower BMI than civilians, significant body fat accumulation may still occur despite high levels of physical activity. The availability of tools for genome mapping has opened new perspectives on the study of body composition and polymorphisms. It has been shown that phenotypes studied for their differences, such as mesomorphy and endomorphy, share commonalities. This study investigated the relationship between body fat accumulation and the phenotypes defined by Heath-Carter somatotyping in active military personnel, aiming to understand the mechanisms driving the increasing prevalence of overweight and obesity in this workforce. Methods: 130 military personnel who volunteered for this cross-sectional observational study were assessed for anthropometric measurements. The correlation between anthropometric variables and physical performance was analyzed using Principal Component Analysis. Statistical tests were performed using RStudio. Results: The most common somatotype encountered was the endomorphic mesomorph (53.8%). Two distinct groups with different physical characteristics were identified. In the endomesomorphic group, body mass, body mass index, and % body fat values were 19%, 15%, and 83% higher than in the ectomesomorphic group. The ectomesomorphic group achieved 12% better V̇O2peak results and 7% better results in the 100m swimming tests. Principal Component 1 accounted for 69% of the variance in the data, with body mass index, endomorphy, mesomorphy, and % body fat showing strong positive correlations within this component. Conclusion: The main finding was that mesomorphy, endomorphy, and body fat percentage were strongly correlated, despite these classic phenotypes being opposites. Observing individuals with extreme somatotype components, i.e., above 5.5 units for mesomorphy, may be an indicator of fat accumulation, even in groups undergoing constant training and high physical activity demands in their occupational activities. |
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| Autores principais: | Santanna, Marcelo |
| Outros Autores: | Simôes Alves, Camila; Viana Gomes, Diego |
| Assunto: | Anthropometry Military Obesity Principal Components Analysis Análise de Componentes Principais Antropometria Militares Obesidade |
| Ano: | 2026 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | unknown |
| Instituição associada: | Ponteditora |
| Idioma: | inglês |
| Origem: | JIM – Jornal de Investigação Médica |
| Resumo: | Background: Although military personnel typically present lower BMI than civilians, significant body fat accumulation may still occur despite high levels of physical activity. The availability of tools for genome mapping has opened new perspectives on the study of body composition and polymorphisms. It has been shown that phenotypes studied for their differences, such as mesomorphy and endomorphy, share commonalities. This study investigated the relationship between body fat accumulation and the phenotypes defined by Heath-Carter somatotyping in active military personnel, aiming to understand the mechanisms driving the increasing prevalence of overweight and obesity in this workforce. Methods: 130 military personnel who volunteered for this cross-sectional observational study were assessed for anthropometric measurements. The correlation between anthropometric variables and physical performance was analyzed using Principal Component Analysis. Statistical tests were performed using RStudio. Results: The most common somatotype encountered was the endomorphic mesomorph (53.8%). Two distinct groups with different physical characteristics were identified. In the endomesomorphic group, body mass, body mass index, and % body fat values were 19%, 15%, and 83% higher than in the ectomesomorphic group. The ectomesomorphic group achieved 12% better V̇O2peak results and 7% better results in the 100m swimming tests. Principal Component 1 accounted for 69% of the variance in the data, with body mass index, endomorphy, mesomorphy, and % body fat showing strong positive correlations within this component. Conclusion: The main finding was that mesomorphy, endomorphy, and body fat percentage were strongly correlated, despite these classic phenotypes being opposites. Observing individuals with extreme somatotype components, i.e., above 5.5 units for mesomorphy, may be an indicator of fat accumulation, even in groups undergoing constant training and high physical activity demands in their occupational activities. |
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