Abstract Background This cross-sectional study is apart from one of the first and largest population-based prospective cohort studies in the UAE called the United Arab Emirates Healthy Future Study (UAEHFS). The aim of this study is to investigate the association between self-perceived sleep duration and self-perceived depression after adjustment for sociodemographic factors. Baseline line data from UAEHFS cohort participants were included in this cross-sectional study. Univariable and multivariable logistic regression models were fitted, with the binarized self-reported sleep hours as an outcome. The predictors were the self-reported PHQ-8, sociodemographic factors, and body mass index (BMI). Odds ratios with 95% confidence intervals (CI) were reported. Results Of 11,455 participants, 4,295 (37.5%) were included in the complete case analysis after omitting missing values. We applied a complete case analysis following omitting missing values. Participants’ median age was 32.0 years (Interquartile-Range: 24.0, 39.0). In total, 63.6% of the participants reported sleep duration of more than 7 hours. Statistically significant negative association was observed between the total PHQ-8 score and binarized self-reported sleep, OR = 0.961 (95% CI: 0.948, 0.974). For one unit increase in age and BMI, the odds ratio of reporting shorter sleep with OR of 0.979 (95% CI: 0.969, 0.990) and 0.987 (95% CI: 0.977, 0.998) respectively. Conclusions The study findings indicate a correlation between higher total PHQ-8 scores and an increased probability of individuals reporting shorter self-perceived sleep durations when considering some sociodemographic factors such as age, marital status and employment status. However, there was no difference between females and males in reporting self-perceived sleep duration among depressed individuals. Key messages • There is a correlation between higher total PHQ-8 scores and an increased probability of individuals reporting shorter self-perceived sleep durations. • Our results can help contribute to the knowledge based on current and potential population mental health in the UAE and Gulf Region.
Read full abstract