Did Depression, Schizophrenia, and Alcohol Use Increase During the COVID-19 Pandemic Even in Low-Risk Regions? An Analysis of the 2017-2020 National Health Insurance Data in Tottori Prefecture.

Background: This study aimed to determine whether the COVID-19 pandemic increased the number of medical consultations for depression, schizophrenia, and alcohol dependence in low-risk regions. Methods: National Health Insurance enrolments from March 2017 to March 2021 in Tottori Prefecture, Japan, where there were minimal COVID-19 cases in 2020, were included in this study. The all-cause mortality and proportion of National Health Insurance members with depression, schizophrenia, and alcohol dependence in the financial years (FY) 2017, 2018, 2019, and 2020 were calculated. The proportion in FY 2020 was compared with the average proportion from FY2017 to FY2019 and the proportion in FY2019. Results: The all-cause mortality for men aged 80-99 years and women aged 70-89 years decreased in FY2020. The proportion of men aged 20-29 years with depression increased to 4.1% in FY2020 compared with 3.0% in FY2019, while the proportion of women aged 20-29 years with depression was 4.4% in FY2017, 4.8% in FY2018, 4.8% in FY2019, and 5.5% in FY2020, confirming an increasing trend from before the COVID-19 pandemic. The proportion of men aged 30-39 years and 60-69 years with schizophrenia increased and that of women aged 40-49 years, 60-69 years, and 90-99 years with schizophrenia also increased, even before the pandemic. The proportion of people with alcohol use disorder has not changed significantly since FY2017. Conclusion: The pandemic has led to an increased proportion of men aged 20-29 years with depression, even in low-risk regions.

Loneliness and Increased Hazardous Alcohol Use: Data from a Nationwide Internet Survey with 1-Year Follow-Up.

We aimed to examine the association between loneliness and developing alcohol dependence or hazardous alcohol use. A cohort study was conducted utilizing data from a nationwide internet survey in 2021 and 2022 in Japan. A total of 15,854 follow-up participants (55% men, with a mean age of 52.8 years) were divided based on AUDIT scores: nondrinkers (AUDIT: 0), low-risk drinkers (AUDIT: 1-7), medium-risk drinkers (AUD: 8-14), high-risk drinkers (AUDIT: 15-19), and probable alcohol dependence (AUDIT: 20-40). The University of California, Los Angeles Loneliness Scale (Version 3), a short-form three-item scale, was used to assess loneliness (high loneliness score of ≥6). The prevalence of high loneliness was higher in nondrinkers than that in low- and medium-risk drinkers, i.e., 22%, 18%, and 17%, respectively, as well as in high-risk drinkers (32%) and those with probable alcohol dependence (43%) compared to non-high-risk drinkers (19%). After adjusting for various factors (sociodemographic, social isolation, psychological distress, and smoking), non-high-risk drinkers (AUDIT: 0-14) with high loneliness were more likely to become high-or-over-risk drinkers (AUDIT: 15-40) than those without high loneliness, with adjusted risk ratios of 1.45 (95% confidence interval: 1.08-1.96) through multivariable binary logistic regression. Among non-high-risk drinkers, people with high loneliness scores at baseline were associated with increased high-risk drinking patterns with probable alcohol dependence.

Problem drinkers and high risk-taking behaviors under the stay-at-home policy of the COVID-19 emergency declaration.

BACKGROUND: To the best of the authors' knowledge, this is the first study to examine whether problem drinkers have had high risk-taking behaviors during the stay-at-home policy (e.g., dining out at a bar) under the COVID-19 emergency declaration. METHODS: We investigated data from Japan COVID-19 and Society Internet Survey(JACSIS)study-a web-based nationwide survey, conducted from August to September 2020. From a total of 12,076 current drinkers, problem drinkers were detected by Cut, Annoyed, Guilty, and Eye-opener (CAGE) questions. A CAGE score of 4 showed potential alcohol use disorder and scores of 2 to3 showed potential alcohol abuse; individuals with these scores were regarded as problem drinkers compared to light-or-no-risk drinkers, with a CAGE score of 0 to 1. The outcome assessed the presence of 18 behaviors against the stay-at-home policy, such as dining out at a bar, meeting people, or going to crowded places. All these behaviors were limited in Japan during the first declaration of emergency between April and May 2020. RESULTS: Based on the multivariable logistic regression, the participants with potential alcohol use disorder demonstrated 16 out of the 18 risk-taking behaviors, such as dining out at a bar (adjusted odds ratio (aOR): 2.08; 95% confidence interval (CI): 1.56-2.79), dining out at a restaurant (aOR: 1.79; 95% CI:1.37-2.35), visiting friends (aOR: 1.81; 95% CI: 1.34-2.44), going to karaoke (1.97; 95% CI: 1.26-3.10), and riding on a crowded train (aOR: 1.46; 95% CI: 1.07-1.99), compared to light-or-no risk drinkers with a CAGE score of 0 to 1. Additionally, participants with potential alcohol abuse (CAGE score of 2 to 3) had 10 out of 18 behaviors against the stay-at-home policy: the corresponding aORs for the aforementioned behaviors were 1.45 (95% CI: 1.25-1.67), 1.27 (95% CI: 1.12-1.44), 1.17 (95% CI: 1.01-1.36), 1.49 (95% CI: 1.17-1.90), and 1.19 (95% CI: 1.03-1.38), respectively. Problem drinkers had a significant association with being men, a higher income and job position, smoking, sleep deprivation, depression, and other mental diseases. CONCLUSIONS: Overall, problem drinkers were more likely to have higher risk-taking behaviors against the stay-at-home policy, compared to light-or-no-risk drinkers.

Suicide rates during social crises: Changes in the suicide rate in Japan after the Great East Japan earthquake and during the COVID-19 pandemic.

We aimed to observe the changes in suicide rates after the Great East Japan Earthquake and during the coronavirus (COVID-19) pandemic, as typical cases of social crises, in Japan. A descriptive epidemiological study was conducted using data on the number of deaths by suicide published by the National Police Agency. The suicide rate ratio during the crisis-the monthly suicide mortality rate in the year of the crisis divided by the average suicide mortality rate in the three years before the crisis-was used as the indicator. After the earthquake, in March 2011 the suicide rate was 18% lower than the average mortality rate for the previous three years. However, it increased by 18% in May and 8% in June; increased mortality was observed among women. The suicide rate began to decline after October 2011. During the COVID-19 pandemic, the suicide rate decreased from February to June 2020. The declines in April and May were significant at 20% and 18%, respectively. From July onwards, the suicide rate of women began to rise, and from October, the overall suicide also began to increase. The rise in female suicide rates was significant, especially in October, with an increase of 70%. Thus, during these crises, suicide rates fell temporarily but then rose, especially among women. The period of increase in suicide rates was longer during the COVID-19 pandemic than after the earthquake. Therefore, there is an urgent need to promote measures for suicide prevention currently, and during a future crisis.

Why Are COVID-19 Mortality Rates by Country or Region So Different?: An Ecologic Study of Factors Associated with Mortality from Novel Coronavirus Infections by Country.

BACKGROUND: In order to find out the factors associated with the large disparities in COVID-19 mortality rates by country, we conducted an ecological study by linking existing statistics. In Japan, a large variation was observed in between geographical areas when assessing mortality. We performed a regional correlation analysis to find factors related to regional mortality. METHODS: This study design was an ecologic study. A multiple regression analysis was performed with COVID-19 mortality rates of different countries as the dependent variable together with various health care and economic factors. We calculated the cumulative mortality rate as of June 30, 2020. For the regional correlation analysis of Japan, 47 prefectures were divided into nine regions. The factors examined were health care and tourism. Data for 33 Organization for Economic Co-operation and Development (OECD) countries were analyzed. In Japan's regional analysis, the whole country was classified into nine regions. RESULTS: Factors related to mortality were the incidence of Kawasaki disease (KD), number of computed tomographies (CTs), and alcohol consumption. Mortality was low in countries with high incidence of KD and high number of CTs, as well as in countries with high alcohol consumption. In European countries, high smoking prevalence and a high Gini coefficient were positively related to high mortality. According to a regional analysis in Japan, mortality was related to proportion of population in the densely inhabited districts, the number of foreign visitors per capita, and the number of Chinese visitors per capita. CONCLUSION: Low mortality in East Asia was associated with specific disease morbidity (KD), alcohol consumption, and CT numbers. It was suggested that the mortality gap in Japan was related to the number of foreign tourists and the proportion of population in the densely inhabited districts.