The Psychological Impact of COVID-19 on Healthcare Workers in Saudi Arabia: A Year Later Into the Pandemic

Objective: The COVID-19 pandemic poses unprecedented challenges to healthcare workers worldwide. This study sought to estimate the prevalence of depression, anxiety, and stress among healthcare workers in Saudi Arabia, and to identify the factors associated with these psychological disorders.Methods: A cross-sectional questionnaire-based study was conducted from January 21 to March 2, 2021. Physicians, pharmacists, nurses, and other healthcare workers from different parts of Saudi Arabia were recruited through snowball sampling. Psychological outcomes were measured using the Depression, Anxiety, and Stress Scale (DASS-21). Pearson's chi-square test was used to explore the bivariate association between diverse characteristics and each outcome. Multiple logistic regression analyses were performed to identify factors associated with depression, anxiety, and stress.Results: A total of 501 healthcare workers completed the survey, of whom 60% were female and nearly half were pharmacists. The majority (76.25%) of respondents reported that a family member, friend, or colleague had contracted COVID-19, and more than one-third (36%) knew someone who died due to COVID-19. Overall, the estimated prevalence rates of depression, anxiety, and stress were 54.69, 60.88, and 41.92%, respectively. The multivariate analysis revealed that healthcare workers with chronic diseases, nurses, and healthcare workers from the southern region were more likely to suffer from depression and stress. Further, individuals with positive COVID-19 test results showed a greater proportion of depressive symptoms compared to others. In addition, knowing someone who died due to COVID-19 and having a chronic illness were predisposing factors for anxiety.Conclusion: After more than a year, the prevalence of depression, anxiety, and stress remains substantial among healthcare workers in Saudi Arabia. The findings can help guide efforts to mitigate the psychological impact of the pandemic.

A Systematic Review and Meta-analysis of the Outcome Expectancy Construct in Physical Activity Research

Background Cognition-based theories dominate physical activity (PA) research, and many include a construct broadly defined as “beliefs about the consequences of behavior” (e.g., outcome expectancies, perceived benefits) hereafter referred to as perceived consequences. Purpose With the quantity of available research on this topic, it is important to examine whether the literature supports perceived consequences as a predictor of PA. Methods A meta-analysis examining longitudinal associations between perceived consequences and PA in adults was conducted. Studies were eligible if (a) perceived consequences were measured at a time point prior to PA, and (b) the target behavior was a form of PA. An omnibus meta-analysis estimating the mean effect of all included studies, and separate meta-analyses for perceived consequences content categories were conducted. Results This search yielded 6,979 articles, of these, 110 studies met inclusion criteria. Studies were published between 1989 and 2020, with sample sizes ranging from 16 to 2,824. All studies were evaluated as moderate to high quality. A small positive bivariate association was identified (r = 0.11; 95% CI [0.09, 0.13]) between perceived consequences and PA. Significant associations were identified for time, health, self-evaluative, psychological, and affective consequences. There was no association between perceived weight-related consequences and PA. Conclusions The findings emphasize the variability with which existing studies have examined perceived consequences in the PA literature. Future research might examine whether these are important distinctions for understanding PA. Overall, the results suggest utility in examining perceived consequences as a predictor of PA, but constructs with more robust associations may require priority.

Oxygen and Mortality in COVID-19 Pneumonia: A Comparative Analysis of Supplemental Oxygen Policies and Health Outcomes Across 26 Countries

Introduction: Hypoxia is the main cause of morbidity and mortality in COVID-19. During the COVID-19 pandemic, some countries have reduced access to supplemental oxygen, whereas other nations have maintained and even improved access to supplemental oxygen. We examined whether variation in the nationally determined oxygen guidelines had any association with national mortality rates in COVID-19.Methods: Three independent investigators searched for, identified, and extracted the nationally recommended target oxygen levels for the commencement of oxygen in COVID-19 pneumonia from the 29 worst affected countries. Mortality estimates were calculated from three independent sources. We then applied both parametric (Pearson's R) and non-parametric (Kendall's Tau B) tests of bivariate association to determine the relationship between case fatality rate (CFR) and target SpO2, and also between potential confounders and CFR.Results: Of the 26 nations included, 15 had employed conservative oxygen strategies to manage COVID-19 pneumonia. Of them, Belgium, France, USA, Canada, China, Germany, Mexico, Spain, Sweden, and the UK guidelines advised commencing oxygen when oxygen saturations (SpO2) fell to 91% or less. A statistically significant correlation was found between SpO2 and CFR both parametrically (R = −0.53, P < 0.01) and non-parametrically (−0.474, P < 0.01).Conclusion: Our study highlights the disparity in oxygen provision for COVID-19 patients between the nations analysed. In those nations that pursued a conservative oxygen strategy, there was an association with higher national mortality rates. We discuss the potential reasons for such an association.

A systematic review and meta-analysis of the outcome expectancy construct in physical activity research

Cognition-based theories dominate physical activity (PA) research, and many include a construct broadly defined as ‘beliefs about the consequences of behavior’ (e.g. outcome expectancies, perceived benefits) hereafter referred to as perceived consequences. With the quantity of available research on this topic, it is important to examine whether the literature supports perceived consequences as a predictor of PA. A meta-analysis examining longitudinal associations between perceived consequences and PA in adults was conducted. Studies were eligible if (a) perceived consequences were measured at a time point prior to PA, and (b) the target behavior was a form of PA. This search yielded 6,979 articles, of these, 110 studies met the inclusion criteria. Studies were published between 1989 and 2020, with sample sizes ranging from 16 to 2,824. All studies were evaluated as moderate to high quality. A small positive bivariate association was identified (r = 0.11; 95% CI [0.09, 0.13]) between perceived consequences and PA. Significant bivariate associations were also identified for time, health, self-evaluative, psychological, and affective perceived consequences. There was no association between perceived weight-related consequences and PA. These findings suggest utility in examining perceived consequences as a predictor of PA, but constructs with more robust associations may require priority.

The predictive effects of fear of being single on physical attractiveness and less selective partner selection strategies

Fear of being single (FOBS) tends to predict settling for less when seeking a romantic partner. The present research sought to examine whether this is due, at least in part, to lower physical attractiveness among those who fear being single. In a photo-rating study (Study 1, N = 122) and a speed-dating study (Study 2, N = 171), participants completed the FOBS Scale, rated perceptions of their own physical attractiveness, and were then rated on physical attractiveness by a team of raters. In Studies 1 and 2, FOBS was not significantly associated with judge-rated physical attractiveness as a bivariate association or in hierarchical regressions accounting for anxious and avoidant attachments, gender, and smiling. There were mixed findings in both studies regarding the association between FOBS and self-rated physical attractiveness in bivariate versus multivariate analyses. However, the tendency of those with stronger FOBS to be less selective during speed dating was not explained by either their judge-rated or their self-rated physical attractiveness.

A Closer Look at the Bivariate Association between Ambient Air Pollution and Allergic Diseases: The Role of Spatial Analysis

Although previous ecological studies investigating the association between air pollution and allergic diseases accounted for temporal or seasonal relationships, few studies address spatial non-stationarity or autocorrelation explicitly. Our objective was to examine bivariate correlation between outdoor air pollutants and the prevalence of allergic diseases, highlighting the limitation of a non-spatial correlation measure, and suggesting an alternative to address spatial autocorrelation. The 5-year prevalence data (2011–2015) of allergic rhinitis, atopic dermatitis, and asthma were integrated with the measures of four major air pollutants (SO2, NO2, CO, and PM10) for each of the 423 sub-districts of Seoul. Lee’s L statistics, which captures how much bivariate associations are spatially clustered, was calculated and compared with Pearson’s correlation coefficient for each pair of the air pollutants and allergic diseases. A series of maps showing spatiotemporal patterns of allergic diseases at the sub-district level reveals a substantial degree of spatial heterogeneity. A high spatial autocorrelation was observed for all pollutants and diseases, leading to significant dissimilarities between the two bivariate association measures. The local L statistics identifies the areas where a specific air pollutant is considered to be contributing to a type of allergic disease. This study suggests that a bivariate correlation measure between air pollutants and allergic diseases should capture spatially-clustered phenomenon of the association, and detect the local instability in their relationships. It highlights the role of spatial analysis in investigating the contribution of the local-level spatiotemporal dynamics of air pollution to trends and the distribution of allergic diseases.