الإنتاج البحثي لأعضاء هيئة التدريس بالكلية V.8 - Flipbook - Page 189
(5) Abbes, Z., Gomaa, A. S., Al-Marri, S., & Haddad, M. (2023). Relationship between physical
characteristics and 200-metre swimming performance in young amateur swimmers. Acta
Kinesiologica, 17(1).
BACKGROUNDː In swimming, elbow extension, and flexion are among the most important
movements involved in the front crawl upper body propulsive phase. Therefore, this study aimed
to investigate the characteristics of young amateur swimmers in relation to 200-m swimming
performance.
(6) Haddad, M., Abbes, Z., Ibrahim, R., Aganovic, A., Bibi, K., & Padulo, J. (2022).
Relationship between asymmetry indices, anthropometric parameters, and physical fitness in obese
and non-obese high school students. International Journal of Environmental Research and Public
Health, 19(17).
Impaired balance is associated with an increased risk of lower extremity injuries. The purpose of
this study was to investigate the relationship between age, anthropometric measurement, and
asymmetry index (AI) in an adolescent high school population. Twenty-six male students (15 ± 1.0
years) were randomly selected. Body composition, measurements of vertical jump height using a
countermovement jump test (CMJ), and dynamic single stance balance using the Y-balance test
(YBT), were collected over 4 weeks. Hierarchical multiple linear regression analyses were used as
dimension reduction techniques in four different blocks to determine valid predictors for AIs. In
the first regression analysis, controlling for age, body mass, height, and body mass index (BMI),
the regression coefficient (B = 0.383, 95% confidence interval [CI] [0.088, 0.679], p < 0.05)
associated with body fat indicated that with each additional unit of body fat, the YBT AI increased
by 0.383 units. In the second regression analysis, controlling for age, body mass, and BMI, the
regression coefficients associated with height (B = −1.692, 95% CI [−3.115, −0.269], p < 0.05] and
body fat percentage (B = 0.529, 95% CI [0.075, 0.983], p < 0.05) indicated that with each additional
unit of height or body fat percentage, the CMJ AI decreased by 1.692 units and increased by 0.529
units. Grouping participants based on body fat percentage had a significant effect on the AIs (p
