Search

Religiosity is a multidimensional construct known to influence the occurrence of hallucinations. However, it remains unknown how different religiosity types affect clinically relevant phenomenological features of hallucinations. Therefore, we wished to explore associations between intrinsic and extrinsic (non-organizational and organizational) religiosity and hallucinations severity, distress or impact on daily function in a non-clinical Muslim population. We recruited a representative sample of full-time students at Qatar's only national university via systematic random sampling and administered the Questionnaire of Psychotic Experiences online. The study design was cross-sectional. Using structural equation modeling, we estimated effects of the religiosity types on hallucinations severity, distress or impact on daily function in the past week while accounting for sociodemographic variables, anxiety, depressive symptoms, and, delusions. Extrinsic non-organizational religiosity (ENORG) was associated with experiencing reduced distress or impact on daily function from hallucinations both directly and indirectly through intrinsic religiosity. In contrast, extrinsic non-organizational religiosity (EORG) was associated with increased hallucinations distress or impact albeit only through higher intrinsic religiosity. We found no association between any religiosity types and hallucinations severity. Younger and married participants from lower socio-economic class had comparatively more severe hallucinations and more distress from them. Qatari nationality was positively associated EORG and negatively associated with hallucinations distress or impact. Evidence of differential associations between the religiosity types, socioeconomic and cultural groups, and distress or impact from past week's hallucinations supports the importance of alignment between religious, mental health, and well-being education.

Background\ud \ud Prevalence trends from Arabic speaking countries on psychiatric symptoms before and after COVID-19 pandemic is lacking. We estimated the point prevalence and change in depression and anxiety symptoms scores in relation to sociodemographic variables following the resolution of the first wave in Qatar compared with before the pandemic.\ud \ud \ud \ud Methods\ud \ud We conducted a trend analysis using repeated nationally representative cross-sectional surveys spanning 2017, 2018, 2020/2021 and using the Physician Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) to assess depressive and anxiety symptoms. Negative binomial regression modelled changes in these symptoms in relation sociodemographics and survey year.\ud \ud \ud \ud Results\ud \ud The two-week prevalence of depressive symptoms (≥10 on the PHQ-9) was 6.6% in 2017 and 6.5% in 2020/2021 (p = 0.986). The two-week prevalence of anxiety symptoms (≥10 or higher on the GAD-7) was 3.6% in 2018 and 5.1% in 2020/2021 (p = 0.062). The data for 2020/21 showed a 35.1% and 29.2% decrease in depression and anxiety symptoms scores compared to pre-pandemic years (2017/2018) after adjusting for sociodemographic factors.\ud \ud \ud \ud Limitations\ud \ud Screening tools rather than structured interviews were to assess depressive and anxiety symptoms.\ud \ud \ud \ud Conclusions\ud \ud Prevalence for depression and anxiety post the first COVID wave did not differ significantly to pre-pandemic estimates. The end of the first wave of the pandemic had a ‘levelling’ effect on these symptoms and their associations with traditional sociodemographic risk factors. The 2020/21 depression and anxiety symptoms scores remained high for Qataris and Arabs, suggesting that these cultural groups may benefit most from public mental health interventions.

Little is known about the impact of eating behaviors on weight management efforts among college students in non-Western settings. This study aimed to explore the relationship between eating behaviors, weight loss outcomes, and perceived weight loss difficulties (PWLD) among young Arab women trying to lose weight. A cross-sectional probability sample was used to recruit female university students aged 18 years and older in the state of Qatar. Participants (N = 937) completed an online survey measuring their attitudes and behaviors towards healthy eating, body image, and weight loss. More than two third (67.2%) reported facing difficulties when trying to lose weight and around one-third (31.2%) screened positive for disordered eating. Chi-squared and logistic regression analyses showed a strong and independent association between unsuccessful weight loss including lack of weight loss or maintenance after weight loss attempts, and PWLD (OR 8.6, p = .002). In addition, eating meals a few hours before sleeping (OR 1.98; p = .02) and having disordered eating (OR 2.28; p = .02) were positively associated with PWLD. BMI, weight loss goal and skipping breakfast were not associated with PWLD after adjustment for all covariates. Future studies are needed to develop better tools to comprehensively assess PWLD and validate against short- and long-term measured weight loss outcomes.

Reports of bidirectional associations between smoking and major depression (MD) have been interpreted as providing evidence for confounding by shared-vulnerability factors (SV) that predispose individuals to both conditions. If this is true, then smoking cessation may not reduce the risk of MD. From clinical practice and public health perspectives, the long-term outcomes associated with smoking persistence and cessation are potentially important and deserve exploration. To this end, the 12-year risk of MD in persistent heavy smokers and abstainers who were former-heavy smokers with and without adjustment for potential confounders were compared.Follow-up data from the National Population Health Survey (NPHS) was used. Multinomial logistic (ML) models were fit to identify potential confounders. Using proportional hazard (PH) models, unadjusted and adjusted hazard ratios (HRs) for MD outcome were estimated for different smoking patterns.The unadjusted HR relating the risk of MD among current-heavy versus former-heavy smokers was 4.3 (95% CI: 2.6-6.9, p 0.001). Current-heavy smoking predicted onset of MD (HR = 3.1, 95% CI: 1.9-5.2, p 0.001) even after adjustment for age, sex and stress - the main confounders. However, this was not the case for the never, former-light, and current-light categories. Evidence of decreased risk of MD among former-heavy relative to current-heavy smokers as function of smoking cessation maintenance time was also found.Contrary to common beliefs about the benefits of smoking for mental health, our results suggest that current-heavy rather than ever-heavy smoking is a major determinant of MD risk and point towards the benefits of smoking cessation maintenance.