Plasma volume variations in response to high intensity interval training in obese women: The influential role of menopausal status and age by Jabbour, Georges

“…Multiple linear regression analysis revealed that age was a significant contributor to the decreases in plasma volume (PV) observed both after warm-up and following the supramaximal cycling test - SCT (r = 0.44 and r = 0.57). …”
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Nutritional Status and Clinical Outcomes of Children with Medical Complexity in the United Arab Emirates: A Retrospective Cross-Sectional Study by Al Slaybe, Maryam

“…Exploratory bivariate analyses (Chi-square, Pearson correlation, t-tests, ANOVA) identified factors associated with the CMC’s nutritional status, and variables with p < 0.2 were entered into multivariable linear regression models to identify predictors, adjusting for confounders. …”
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Associations between Bone Mineral Density and WOMAC Scores in Healthy Individuals: Insights from the Qatar Biobank by Al-Hamdani, Mohammed

“…However, BMD measures significantly contributed to predicting stiffness after controlling for sociodemographic variables (R2 = 0.065, ΔF(7, 1724) = 3.34, p = 0.002), with a higher total body BMD associated with increased stiffness and a higher trunk BMD associated with decreased stiffness. …”
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Associations between Bone Mineral Density and WOMAC Scores in Healthy Individuals: Insights from the Qatar Biobank by Mohammed Al-Hamdani (16962702)

“…However, BMD measures significantly contributed to predicting stiffness after controlling for sociodemographic variables (R² = 0.065, ΔF(7, 1724) = 3.34, p= 0.002), with a higher total body BMD associated with increased stiffness and a higher trunk BMD associated with decreased stiffness. …”

Relationship between Asymmetry Indices, Anthropometric Parameters, and Physical Fitness in Obese and Non-Obese High School Students by Monoem Haddad (5345357)

“…Hierarchical multiple linear regression analyses were used as dimension reduction techniques in four different blocks to determine valid predictors for AIs. …”