Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study by Husham Abdelrahman (768893)

“…Head injury and bleeding were the leading causes of mortality in the study cohort. There was a significant decrease in the trend of geriatric trauma over the years. …”

OSRA Grant Cycle 5 Public Reports : Project Title: Coping with prenatal bereavement and perceived stress in current pregnancy: correlates to parental perception of the child and bo... by Pia Tohme Khalaf (17425551)

Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women by Issa, Yara

“…However, social media use was not significantly associated with orthorexia. Regression analyses showed that both social media use (p<0.001) and having a social media account (p=0.023) were predictors of reduced intuitive eating, with social media use being the most significant predictor. …”
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Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data by Aftab Alam (5158601)

“…Regarding sleep distraction, multivariate linear regression analysis revealed that two hours before sleep was a significant and positive predictor of sleep distraction (β = 0.197, p = 0.003), whereas PIU was not significant. …”

Sleeping habits during COVID-19 induced confinement: A study from Jordan by Mahmoud A. Alomari (14780446)

“…In addition, gender (p < 0.001) is an independent predictor of nighttime sleeping. Being a male is associated with a “decrease” and being a female is associated with an “increase” in nighttime sleeping hours (p < 0.05). …”

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. …”

Clinical and biochemical determinants of length of stay, readmission and recurrence in patients admitted with diabetic ketoacidosis by Fateen Ata (12217764)

“…<h3>Background</h3><p dir="ltr">The increasing prevalence of diabetic ketoacidosis (DKA) related admissions poses a significant burden on the healthcare systems globally. …”

Optimal management, prevalence, and clinical behavior of saddle pulmonary embolism: A systematic review and meta-analysis by Fateen Ata (12217764)

“…In a multivariate logistic regression model, massive PE features significantly increased the odds of death (OR: 29.3, CI: 4.86–181.81, p < 0.001), whereas, treatment with anticoagulation (AC) alone (OR: 0.1, CI: 0.027–0.356, p < 0.001), TT (OR: 0.065, CI: 0.019–0.26, p < 0.001), surgical thrombectomy (ST) (OR: 0.047, CI: (0.010–0.23), p < 0.001), or percutaneous thrombectomy (PT) (OR: 0.12, CI: 0.020–0.84, p = 0.032) significantly decreased odds of death.…”

Nutritional Status and Clinical Outcomes of Children with Medical Complexity in the United Arab Emirates: A Retrospective Cross-Sectional Study by Al Slaybe, Maryam

“…Longer hospital length of stay was associated with reduced LAZ scores (β = -0.005, p = 0.006) and increased WLZ scores (β = 0.006, p = 0.035). Although undernourished children exhibited higher rates of early readmission, recurrent admission, and in-hospital mortality, these associations were not statistically significant. …”
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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. 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. …”