Toward Strengthening the Capacity of the Health System: A Cross-Sectional Study of Factors Predicting Quality of Life in 545 Nigerian Children Exposed to Sexual Abuse

In Nigeria, the predictors of quality of life among children exposed to sexual abuse are unknown. Addressing this gap may strengthen the capacity of the health system to care for this population. Thus, this cross-sectional study selected 545 (mean age = 14.4 ± 1.4 years) Nigerian children exposed to sexual abuse. Results show that self-compassion, resilience, and meaning in life jointly predicted quality of life and explained 39% variance. The independent prediction of each predictor variable shows that self-compassion, resilience, and meaning in life have significant independent predictions, with self-compassion showing the greatest independent prediction, followed by resilience and meaning in life. Sex, age, and how long ago respondents were exposed to sexual abuse jointly predicted quality of life and explained 6% variance. However, how long ago respondents were exposed to sexual abuse shows a significant independent prediction. Results offer clinical implications that may strengthen the capacity of the health system to care for this population.

Prevalence and clinical outcomes of COVID-19 in patients with pre-existing celiac disease: A systematic review and meta-analysis

There is a scarcity of scientific evidence addressing the outcomes of COVID-19 in celiac disease (CD) patients. This systematic review and meta-analysis aimed to evaluate the correlation between pre-existing CD and COVID-19. A rigorous literature search was conducted using multiple databases. All eligible observational studies were included from around the globe. The random effect model calculated the pooled prevalence and associated 95% confidence intervals (CI). Mantel-Haenszel odds ratios were produced to report the overall effect size using random effect models for severity and mortality outcomes. Funnel plots, Egger regression tests, and Begg-Mazumdar's rank correlation test were used to appraise publication bias. Data from 11 articles consisting of 44,378 CD patients were obtained. Overall pooled random-effects estimate of SARS-CoV-2 infection in CD patients was 4.25% (95% CI, I²  = 98%). Our findings also indicated that pre-existing CD was not associated with an increased risk of hospitalisation with COVID-19 illness (OR = 1.04, 95% CI 0.87-1.24, I²  = 0%) and mortality due to illness (OR = 0.92, 95% CI 0.56-1.5, I²  = 45%) compared with patients without pre-existing CD. No significant publication bias was evident in the meta-analysis. The preliminary data from our analysis suggest that SARS-CoV-2 infection in patients with pre-existing CD is not associated with an increased risk of hospitalisation or mortality. Additional studies are required to overcome the restrictions of the limited data available at present.