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Background The COVID-19 pandemic had a significant impact on the mental well-being of students worldwide. There is a scarcity of information on the mental health impact of the COVID-19 pandemic on university students in the United Arab Emirates (UAE). This study aimed to investigate the mental health impact of the COVID-19, including depression, anxiety and resilience among a sample of university students in the UAE. Methods A cross-sectional study using an online survey was conducted from September to November 2021. The patient health questionnaire (PHQ-9), generalized anxiety disorder-7 (GAD-7) and Connor–Davidson Resilience Scale (CD-RISC-10) were used to assess depression, anxiety, and resilience. The COVID-19 impact was assessed using a list of questions. Results Only, 798 students completed the survey and were analyzed for this study. Overall, 74.8% of the students were females, 91.2% were never married, and 66.3% were UAE-nationals. Based on PHQ-9 and GAD-7 cut-off scores (≥ 10), four out of ten of the students self-reported moderate to severe depression (40.9%) and anxiety (39.1%). Significantly higher mean PHQ-9 and GAD-7 scores were found among students who were impacted by COVID-19 than those non-impacted (mean PHQ-9 = 9.51 ± 6.39 and 6.80 ± 6.34; p = 0.001, respectively) and (mean GAD-7 = 9.03 ± 6.00 and 8.54 ± 6.02; respectively, p p p = 0.005). Never married students had significantly higher PHQ-9 and GAD-7 scores than ever-married (9.31 ± 6.37 vs. 6.93 ± 5.47, P = 0.003) and (8.89 ± 6.11 vs. 7.13 ± 5.49, respectively; p = 0.017). Conclusions The results of this study demonstrate that the COVID-19 pandemic has negatively impacted the mental health of this sample of university students in terms of depression and anxiety. The results highlight the need to adopt culturally appropriate interventions for university students and focus on vulnerable groups.

ObjectiveTo study the prevalence of overweight and obesity and determine the associated risk factors among adults in Dubai.Design and settingA cross-sectional survey with a multistage, stratified random sampling design was conducted in the Emirate of Dubai in 2019.ParticipantsThe study included 2142 adults aged 18+ years in the Emirate of Dubai.ResultsThe overall prevalence of obesity, which was defined as body mass index (BMI) ≥30 kg/m2, was 17.8%. The highest obesity rates were reported among women (21.6%) and the United Arab Emirates (UAE)-nationals (39.6%). Moreover, 39.8% of the population was overweight (BMI ≥25–29.9 kg/m2). Multivariate logistic regression showed associations between obesity and age, sex, nationality, hypertension and occupation. Obesity increases with age, with the highest risk at age group 50–59 years (OR 4.30; 95% CI 1.57 to 11.78) compared with the reference group (18–24 years). Females had a higher risk of obesity than males (OR 1.62; 95% CI 1.10 to 2.38). Compared with those in the reference group (Western and others), UAE nationals, other Arabs and Asians were more likely to be obese ((OR 2.08; 95% CI 1.18 to 3.67), (OR 3.61; 95% CI 2.41 to 5.44) and (OR 1.98; 95% CI 1.12 to 3.50), respectively). Clerical and service workers (OR 4.50; 95% CI 2.54 to 8.00) and elementary and unskilled occupation categories (OR 2.57; 95% CI 1.56 to 4.25) had higher risks of obesity than the reference group (professionals), pConclusionsObesity and overweight are highly prevalent among adults in Dubai and are remarkably associated with sociodemographic and behavioural risk factors. Comprehensive strategic initiatives are urgently needed to control obesity in the high-risk populations in the Emirate of Dubai.

In December 2019, Corona-Virus “COVID-19” was started in Wuhan, China, On March 11, 2020, World Health Organization (WHO) described COVID-19 as a pandemic...

OBJECTIVES: The aim of this study was to develop a risk score model for predicting hypertension specific to the population of Dubai in the United Arab Emirates (UAE) to facilitate prevention and early intervention.METHODS: A retrospective analysis of data from the Dubai Household Health Survey 2019 was conducted. Demographic and physical parameters, as well as blood glucose levels, were included in the data. The risk factors for hypertension were identified using bivariate analysis. A risk score model was developed using the enter method, where all significant predictors of hypertension in bivariate analyses were entered in a single step with the primary outcome of hypertension status (yes/no). The model was validated internally by splitting the data into Emirati and non-Emirati populations.RESULTS: A total of 2,533 subjects were studied. The significant risk factors for hypertension identified were male sex, older age (≥40 years), education level, body mass index, diabetes mellitus, and dyslipidaemia. The model showed a high discrimination ability between individuals with and without hypertension, with an area under the curve of 0.77 (95% confidence interval [CI], 0.75 to 0.79), excellent sensitivity (81.0%; 95% CI, 71.9 to 88.2) and moderate specificity (56.0%; 95% CI, 45.7 to 65.9).CONCLUSIONS: The model developed by this study is simple, convenient, and based on readily available demographic and medical characteristics. This risk score model could support initial hypertension screening and provide an effective tool for targeted lifestyle counselling and prevention programs.