CONTEXT: The functional movement screen (FMS™) is used to identify movement asymmetries and deficiencies. While obesity has been reported to impede movement, the correlation between body mass index (BMI), body fat percentage (BF%), and FMS™ in athletes is unknown. OBJECTIVE: To determine if there is a relationship between BMI, BF%, and FMS™ scores in a sample of National Collegiate Athletic Association Division I football athletes. DESIGN: Cross-sectional study. SETTING: Biodynamics laboratory. PARTICIPANTS: A total of 38 male freshman football players (18.0 [0.7] y, 185.3 [5.5] cm, and 103.9 [20.3] kg). INTERVENTIONS: Height, weight, and BF% were collected, and subjects underwent the FMS™ conducted by a certified athletic trainer. MAIN OUTCOME MEASURES: The dependent variables were BMI, BF%, composite FMS™ score, and 7 individual FMS™ test scores. Subjects were grouped as normal BMI (BMI < 30 kg/m2) or obese (BMI ≥ 30 kg/m2). A composite FMS™ score of ≤14 and an individual FMS™ score of ≤1 were classified as cutoffs for poor movement performance. RESULTS: A negative correlation between composite FMS™ score and BMI approached significance (P = .07, ρ = .296). A negative correlation between composite FMS™ score and BF% was significant (P = .01, ρ = -.449). There was a significant difference in the number of obese subjects scoring below the composite FMS™ cutoff (χ2 = 5.179, P = .02) and the individual FMS™ cutoff on the deep squat (χ2 = 6.341, P = .01), hurdle step (χ2 = 9.870, P = .002), and in-line lunge (χ2 = 5.584, P = .02) when compared with normal BMI subjects. CONCLUSIONS: Increased BF% and BMI relate to lower composite FMS™ and individual FMS™ test scores, indicating potentially poor movement patterns in larger National Collegiate Athletic Association football athletes. Future research should focus on examining lower extremity-specific FMS™ tasks individually from composite FMS™ scores.
CONTEXT: The functional movement screen (FMS™) is used to identify movement asymmetries and deficiencies. While obesity has been reported to impede movement, the correlation between body mass index (BMI), body fat percentage (BF%), and FMS™ in athletes is unknown. OBJECTIVE: To determine if there is a relationship between BMI, BF%, and FMS™ scores in a sample of National Collegiate Athletic Association Division I football athletes. DESIGN: Cross-sectional study. SETTING: Biodynamics laboratory. PARTICIPANTS: A total of 38 male freshman football players (18.0 [0.7] y, 185.3 [5.5] cm, and 103.9 [20.3] kg). INTERVENTIONS: Height, weight, and BF% were collected, and subjects underwent the FMS™ conducted by a certified athletic trainer. MAIN OUTCOME MEASURES: The dependent variables were BMI, BF%, composite FMS™ score, and 7 individual FMS™ test scores. Subjects were grouped as normal BMI (BMI < 30 kg/m2) or obese (BMI ≥ 30 kg/m2). A composite FMS™ score of ≤14 and an individual FMS™ score of ≤1 were classified as cutoffs for poor movement performance. RESULTS: A negative correlation between composite FMS™ score and BMI approached significance (P = .07, ρ = .296). A negative correlation between composite FMS™ score and BF% was significant (P = .01, ρ = -.449). There was a significant difference in the number of obese subjects scoring below the composite FMS™ cutoff (χ2 = 5.179, P = .02) and the individual FMS™ cutoff on the deep squat (χ2 = 6.341, P = .01), hurdle step (χ2 = 9.870, P = .002), and in-line lunge (χ2 = 5.584, P = .02) when compared with normal BMI subjects. CONCLUSIONS: Increased BF% and BMI relate to lower composite FMS™ and individual FMS™ test scores, indicating potentially poor movement patterns in larger National Collegiate Athletic Association football athletes. Future research should focus on examining lower extremity-specific FMS™ tasks individually from composite FMS™ scores.
Entities:
Keywords:
clinical evaluation; physical performance; physical therapy; rehabilitation; sport medicine
Authors: Josip Karuc; Goran Marković; Marjeta Mišigoj-Duraković; Michael J Duncan; Maroje Sorić Journal: Int J Environ Res Public Health Date: 2020-12-10 Impact factor: 3.390
Authors: Stefania Toselli; Elisabetta Marini; Pasqualino Maietta Latessa; Luca Benedetti; Francesco Campa Journal: Int J Environ Res Public Health Date: 2020-01-22 Impact factor: 3.390