To provide a contemporary global prevalence of mental health issues among the general population amid the coronavirus disease-2019 (COVID-19) pandemic. We searched electronic databases, preprint databases, grey literature, and unpublished studies from January 1, 2020, to June 16, 2020 (updated on July 11, 2020), with no language restrictions. Observational studies using validated measurement tools and reporting data on mental health issues among the general population were screened to identify all relevant studies. We have included information from 32 different countries and 398,771 participants. The pooled prevalence of mental health issues amid the COVID-19 pandemic varied widely across countries and regions and was higher than previous reports before the COVID-19 outbreak began. The global prevalence estimate was 28.0% for depression; 26.9% for anxiety; 24.1% for post-traumatic stress symptoms; 36.5% for stress; 50.0% for psychological distress; and 27.6% for sleep problems. Data are limited for other aspects of mental health issues. Our findings highlight the disparities between countries in terms of the poverty impacts of COVID-19, preparedness of countries to respond, and economic vulnerabilities that impact the prevalence of mental health problems. Research on the social and economic burden is needed to better manage mental health problems during and after epidemics or pandemics. Systematic review registration: PROSPERO CRD 42020177120.

Background Economic crises during the coronavirus disease (COVID‐19) pandemic severely impacted mental health outcomes. However, there is limited evidence on this issue in Thailand. We aimed to evaluate the association of economic burden during the first phase of the pandemic and the risk of adverse mental health outcomes in the Thai population. Methods We recruited 2,303 participants aged 18 years or above with employment/full‐time jobs before the national lockdown in April–May 2020. The measures of economic burden were job loss, income loss, and financial problems related to the outbreak. The outcomes included depressive symptoms, anxiety, and perceived stress. The association between economic burden and adverse mental health outcomes was evaluated using multivariable logistic regression models. Results Individuals who lost their jobs during the COVID‐19 pandemic had a higher risk of perceived stress compared to those who maintained their job (adjusted odds ratio [OR], 2.40; 95% confidence interval [CI], 1.28–4.51; p = .006). A higher risk of anxiety was observed in individuals with a monthly income loss of 50% (adjusted OR, 1.42; 95% CI, 1.03–1.99; p = .035; individuals without income loss, reference group) or over. Self‐reported financial problems were significantly associated with adverse mental health outcomes (nonexperienced financial problems, reference group): Adjusted ORs of 1.84 (95% CI, 1.34–2.51; p < .001) for depressive symptoms, 2.00 (95% CI, 1.48–2.71; p < .001) for anxiety, and 2.12 (95% CI, 1.51–2.95; p < .001) for perceived stress. Conclusions Economic burden, especially self‐reported financial problems, was associated with adverse mental health outcomes. However, long‐term studies are needed to address the mental health consequences of COVID‐19 and economic downturns.

Background: The COVID-19 pandemic has had a negative impact on both the physical and mental health of individuals worldwide. Evidence regarding the association between mental health problems and information exposure among Thai citizens during the COVID-19 outbreak is limited. Objective: This study aimed to explore the relationship between information exposure and mental health problems during the COVID-19 pandemic in Thailand. Methods: Between April 21 and May 4, 2020, we conducted a cross-sectional, nationwide online survey of the general population in Thailand. We categorized the duration of exposure to COVID-19-related information as follows: <1 h/day (reference group), 1-2 h/day, and ≥3 h/day. Mental health outcomes were assessed using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7 scale, the Perceived Stress Scale-10, and the Insomnia Severity Index for symptoms of depression, anxiety, perceived stress, and insomnia, respectively. Multivariable logistic regression models were used to evaluate the relationship between information exposure and the risk of developing the aforementioned symptoms. An ancillary analysis using multivariable multinomial logistic regression models was also conducted to assess the possible dose-response relationship across the severity strata of mental health problems. Results: Of the 4322 eligible participants, 4004 (92.6%) completed the online survey. Of them, 1481 (37.0%), 1644 (41.1%), and 879 (22.0%) participants were exposed to COVID-19-related information for less than 1 hour per day, 1 to 2 hours per day, or 3 or more hours per day, respectively. The major source of information related to the COVID-19 pandemic was social media (95.3%), followed by traditional media (68.7%) and family members (34.9%). Those exposed to information for 3 or more hours per day had a higher risk of developing symptoms of depression (adjusted odds ratio [OR] 1.35, 95% CI 1.03-1.76; P=.03), anxiety (adjusted OR 1.88, 95% CI 1.43-2.46; P<.001), and insomnia (adjusted OR 1.52, 95% CI 1.17-1.97; P=.001) than people exposed to information for less than 1 hour per day. Meanwhile, people exposed to information for 1 to 2 hours per day were only at risk of developing symptoms of anxiety (adjusted OR 1.35, 95% CI 1.08-1.69; P=.008). However, no association was found between information exposure and the risk of perceived stress. In the ancillary analysis, a dose-response relationship was observed between information exposure of 3 or more hours per day and the severity of mental health problems. Conclusions: These findings suggest that social media is the main source of COVID-19-related information. Moreover, people who are exposed to information for 3 or more hours per day are more likely to develop psychological problems, including depression, anxiety, and insomnia. Longitudinal studies investigating the long-term effects of COVID-19-related information exposure on mental health are warranted.

Background: Current international guidelines recommend the use of a daily topical exit-site antimicrobial to prevent peritoneal dialysis (PD)-related infections. Although nonantibiotic-based therapies are appealing because they may limit antimicrobial resistance, no controlled trials have been conducted to compare topical antimicrobial agents with usual exit-site care for the prevention of PD-related infections among the Thai PD population. We propose a controlled three-arm trial to examine the efficacy and safety of a daily chlorhexidine gluconate-impregnated patch versus mupirocin ointment versus usual exit-site care with normal saline for the prevention of PD-related infections. Methods/Designs: This study is a randomized, double-blind, multicenter, active-controlled, clinical trial. Adult patients aged 18 years or older who have end-stage kidney disease and are undergoing PD will be enrolled at three PD Centers in Thailand. A total of 354 PD patients will be randomly assigned to either the 2% chlorhexidine gluconate-impregnated patch, mupirocin ointment, or usual exit-site care with normal saline dressing according to a computer-generated random allocation sequence. Participants will be followed until discontinuation of PD or completion of 24 months. The primary study outcomes are time to first PD-related infection (exit-site/tunnel infection or peritonitis) event and the overall difference in PD-related infection rates between study arms. Secondary study outcomes will include (i) the rate of infection-related catheter removal and PD technique failure, (ii) rate of nasal and exit-site Staphylococcus aureus colonization, (iii) healthcare costs, and (iv) skin reactions and adverse events. We plan to conduct a cost-utility analysis alongside the trial from the perspectives of patients and society. A Markov simulation model will be used to estimate the total cost and health outcome in terms of quality-adjusted life years (QALYs) over a 20-year time horizon. An incremental cost-effectiveness ratio in Thai Baht and U.S. dollars per QALYs gained will be illustrated. A series of probabilistic sensitivity analyses will be conducted to assess the robustness of the cost-utility analysis findings. Discussion: The results from this study will provide new clinical and cost-effectiveness evidence to support the best strategy for the prevention of PD-related infections among the Thai PD population. Trial registration: ClinicalTrials.gov, NCT02547103. Registered on September 11, 2015.

This study aimed to examine the transcultural adaptation, construct validity, and psychometric properties of the Thai-Brief Resilient Coping Scale (BRCS) among the general population and college students through the coronavirus disease 2019 (COVID-19) pandemic in Thailand. We invited the 4004 participants to complete sets of anchor-based measurement tools, including depressive symptoms, anxiety symptoms, perceived stress, well-being, and perceived social support. The scale factor structure of the Thai-BRCS was assessed using factor analysis, and nonparametric item response theory (IRT) analysis. The psychometric properties of the Thai-BRCS for validity (convergent and discriminant) and reliability (internal consistency and reproducibility) were assessed. Based on the construct validity testing, factor analysis, and nonparametric IRT analysis reaffirmed the unidimensionality with a one-factor structure of the Thai-BRCS version. For convergent validity, the scale was significantly correlated with all sets of anchor-based measurement tools (all P < 0.001). The discriminant validity was satisfactory with a group of medium and low resilience and the risk of adverse mental outcomes. For scale reliability, it revealed excellent internal consistency (alpha = 0.84, omega = 0.85) and reproducibility (intraclass correlation = 0.91). The Thai-BRCS version fulfills transcultural adaptation with satisfactory psychometric properties to measure psychological resilience in the Thai population during the COVID-19 pandemic.

Prevalence and Associated Factors of Cognitive Impairment and Poor Sleep Quality among Community-Dwelling Older Adults in Northern Thailand