Positive association of lean mass and negative association of protein intake on bone mass and bone geometry of adolescent soccer players

• Published in: Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2023-01, Vol.105, p.111857-111857, Article 111857
• Main Authors: Bergamo, Raiany Rosa, Páscoa, Mauro Alexandre, Hespanhol, Jefferson Eduardo, de Moraes, Anderson Marques, Guerra-Júnior, Gil
• Format: Article
• Language: English
• Subjects: Absorptiometry, Photon; Adolescent; Adolescents; Athletes; Body Composition; Bone composition; Bone Density; Bone geometry; Bone mass; Bone mineral content; Bone mineral density; Child; Child development; Dual energy X-ray absorptiometry; Femur; Femur Neck; Food; Food composition; Food consumption; Food intake; Fractures; Geometry; Humans; Male; Metabolism; Moments of inertia; Nutrients; Parameters; Phosphorus; Players; Proteins; Soccer; Software; Spine; Spine (lumbar); Statistical analysis; Teenagers; Values; Vitamin D
• ISSN: 0899-9007; 1873-1244
• DOI: 10.1016/j.nut.2022.111857

•Lean mass was an important predictor of bone variables.•Calcium intake was almost half of the recommended value.•Protein intake was twofold higher than the recommended values.•The higher the protein intake, the lower the value of bone mass and bone geometry. The aim of this study was to evaluate the association of food consumption and body composition on bone parameters in adolescent soccer players. There were 148 male soccer players 12 to 18 y who participated in the study. Body composition was assessed by dual energy x-ray absorptiometry, comprising bone mineral density (BMD) and bone mineral content (BMC) of total body without head (TBLH), lumbar spine (L1-L4), and right femoral neck (RFN). The bone geometry variables measured were femoral strength index (FSI), buckling ratio (BR), section modulus (Z), cross-sectional moment of inertia (CSMI), and cross-sectional area (CSA). Food intake was analyzed using the 24-h food recall. Somatic maturation was estimated by the peak height velocity equation. For the statistical analysis, the stepwise multiple linear regression was used, with P < 0.05. Regarding food consumption, there was a high protein intake and low calcium intake. Lean mass was a predictor of BMC of TBLH (R2 = 0.524), L1-L4 (R2 = 0.492), and RFN (R2 = 0.405); BMD of L1-L4 (R2 = 0.407) and RFN (R2 = 0.27); Z (R2 = 0.683), CSMI (R2 = 0.630), and CSA (R2 = 0.640). There was a negative correlation between protein intake with bone mass and bone geometry parameters. In adolescent soccer players, lean mass was a predictor of bone parameters, and high protein intake was negatively associated with bone mass and geometry.