BACKGROUND: Deterioration in lifestyle associated with poor mental health could be an important concern during the coronavirus disease 2019 (COVID-19) pandemic. However, few studies have investigated the association between mental health status and lifestyle changes during the pandemic in nationwide Japanese general population. METHODS: This cross-sectional study was conducted using the data among 1,546 participants of the follow-up study of NIPPON DATA2010 in 2021. Recent mental status, as assessed using the Kessler 6 (K6) scale, and lifestyle changes compared to before the pandemic were determined using self-reported questionnaires. Some lifestyle changes such as decreased physical activity were defined as undesirable, whereas others such as decreased alcohol drinking were defined as desirable. The participants were divided into three groups based on the K6 scores: the K6<5, 5≤K6<9, and K6≥9 groups. The odds ratios (ORs) and 95% confidence intervals (CIs) of the K6 groups for each lifestyle change compared with that in the K6<5 group were estimated after adjusting for possible confounders. RESULTS: The ORs of the K6≥9 group for all undesirable lifestyle changes were significantly high, especially increased alcohol drinking (OR 4.64; 95% CI, 2.71-7.93), and decreased physical activity (OR 4.63; 95% CI, 3.29-6.52). Among the desirable changes, the OR of the 5≤K6<9 group was significantly high for increased eating home cooking. CONCLUSIONS Poor mental health showed a significant association with undesirable lifestyle changes, especially increased alcohol drinking and decreased physical activity, in a nationwide general Japanese population during the COVID-19 pandemic.
Humans ; COVID-19/epidemiology* ; Japan/epidemiology* ; Male ; Female ; Mental Health/statistics & numerical data* ; Middle Aged ; Cross-Sectional Studies ; Life Style ; Adult ; Aged ; Exercise ; Alcohol Drinking/epidemiology* ; SARS-CoV-2 ; Pandemics ; East Asian People

The recent three leading risk factors for global disease burden in the world are, in descending order, high blood pressure, tobacco smoking including second-hand smoke, and alcohol use. Alcohol use increases the risk for many acute and chronic health consequences including cancer, road injury and suicide as well as alcohol use disorder. It is known that there is a U- or J-shaped relationship between alcohol consumption and all-cause mortality. The descending leg of the curve showing this relationship is best explained by a decrease in the risk of cardiovascular disease, especially ischemic heart disease, among light-to-moderate alcohol drinkers. However, this relationship carries risks of confounding and selection bias, including the so-called healthy drinker bias. Furthermore, biogenic compounds other than ethanol present in wine may be partially responsible for the beneficial effect, although this also includes several confounding factors such as the drinking patterns associated with wine preference. While some studies suggest that light-to-moderate alcohol consumption may offer cardiovascular benefits, these findings are likely influenced by confounding factors and do not negate the substantial public health burden associated with alcohol use. In fact, from a population health perspective, reducing harmful alcohol consumption remains a critical priority. Social policies aimed at lowering alcohol intake and limiting drinking opportunities can contribute to longer life expectancy by preventing alcohol-related diseases. Unhealthy alcohol use is one of the four major behavioral risk factors-along with smoking, physical inactivity, and poor diet-that accounted for approximately 50% of all deaths and about six years of life expectancy lost between 2001 and 2008. Targeted interventions are particularly important for men and individuals with lower educational attainment, as alcohol-related mortality is higher in men and contributes more to socioeconomic disparities in life expectancy among men than among women. Alcohol consumption is influenced by socioeconomic factors such as education, income, and occupation. While higher socioeconomic status is associated with more frequent drinking, lower status is associated with higher consumption volume. Given that alcohol-related deaths and life expectancy trends vary across countries and over time, public health strategies should be tailored to specific social and temporal contexts.
Humans ; Alcohol Drinking/epidemiology* ; Life Expectancy ; Risk Factors

BACKGROUND: Alcohol consumption is a prevalent behavior that is bi-directionally related to the risk of type 2 diabetes. However, the effect of daily alcohol consumption on glucose levels in real-world situations in the general population has not been well elucidated. This study aimed to clarify the relationship between alcohol consumption and all-day and time-specific glucose levels among non-diabetic individuals. METHODS: We investigated 913 non-diabetic males and females, aged 40-69 years, during 2018-2020 from four communities across Japan. The daily alcohol consumption was assessed using a self-report questionnaire. All-day and time-specific average glucose levels were estimated from the interstitial glucose concentrations measured using the Flash glucose monitoring system for a median duration of 13 days. Furthermore, we investigated the association between all-day and time-specific average glucose levels and habitual daily alcohol consumption levels, using never drinkers as the reference, and performed multiple linear regression analyses after adjusting for age, community, and other diabetes risk factors for males and females separately. RESULTS: All-day average glucose levels did not vary according to alcohol consumption categories in both males and females. However, for males, the average glucose levels between 5:00 and 11:00 h and between 11:00 and 17:00 h were higher in moderate and heavy drinkers than in never drinkers, with the difference values of 4.6 and 4.7 mg/dL for moderate drinkers, and 5.7 and 6.8 mg/dL for heavy drinkers. Conversely, the average glucose levels between 17:00 and 24:00 h were lower in male moderate and heavy drinkers and female current drinkers than in never drinkers; the difference values of mean glucose levels were -5.8 for moderate drinkers, and -6.1 mg/dL for heavy drinkers in males and -2.7 mg/dL for female current drinkers. CONCLUSIONS Alcohol consumption was associated with glucose levels in a time-dependent biphasic pattern.
Humans ; Male ; Female ; Diabetes Mellitus, Type 2 ; Blood Glucose Self-Monitoring ; Blood Glucose ; Alcohol Drinking/epidemiology* ; Risk Factors ; Alcoholic Intoxication

Objective: To describe the prevalence of alcohol consumption and the burden of hemorrhagic stroke and hypertensive heart disease attributed to alcohol consumption in adults aged ≥20 years in 31 provinces in China from 2005 to 2018. Methods: Data from several national representative surveys was used to estimate provincial alcohol exposure level of adults aged ≥20 years from 2005 to 2018 by using kriging interpolation and locally weighted regression methods. Global disease burden research method and data, and China's death cause surveillance data were used to calculate the population attributable fraction (PAF) of hemorrhagic stroke and hypertensive heart disease and the deaths due to alcohol consumption in men and women aged ≥20 years in 31 provinces in China. China census data of 2010 were used to calculate the attributable standardized mortality rate. Results: In 2005 and 2018, the prevalence of alcohol consumption was 58.7% (95%CI: 57.8%-59.5%) and 58.4% (95%CI: 57.6%-59.3%), respectively, in men and 17.0% (95%CI: 16.6%-17.4%) and 18.7% (95%CI:18.1%-19.3%), respectively, in women. The daily alcohol intake was 24.6 (95%CI: 23.8-25.3) g and 27.7 (95%CI: 26.8-28.7) g, respectively, in men and 6.3 (95%CI: 6.0-6.5) g and 5.3 (95%CI: 5.0-5.6) g, respectively, in women. Alcohol exposure level was higher in the provinces in central and eastern China than in western provinces. The lowest exposure level was found in northwestern provinces. From 2005 to 2018, the PAF of hemorrhagic stroke death due to alcohol consumption increased from 5.5% to 6.8%, the attributable deaths increased from 50 200 to 59 100, while the PAF of hypertensive heart disease death due to alcohol consumption increased from 7.0% to 7.7%, the attributable deaths increased from 15 200 to 29 300. The PAF of hypertensive heart disease and hemorrhagic stroke was higher in men than in women, and in central and eastern provinces than in western provinces. In 2018, the standardized mortality rates of hemorrhagic stroke and hypertensive heart disease attributed to alcohol consumption were 4.58/100 000 and 2.11/100 000, respectively. Conclusions: The prevalence of alcohol consumption in men and daily alcohol intake of drinkers were relatively high in China, especially in eastern provinces. Alcohol exposure level was lower in women than in men. Regional measures should be taken to reduce the alcohol intakes in men and current drinkers in order to reduce the health problems caused by alcohol consumption.
Adult ; Male ; Humans ; Female ; Hemorrhagic Stroke ; Hypertension/epidemiology* ; Alcohol Drinking/epidemiology* ; Heart Diseases/epidemiology* ; China/epidemiology*

Humans ; Adolescent ; Pandemics ; Substance-Related Disorders/epidemiology* ; Smoking ; Ethanol ; Republic of Korea/epidemiology* ; Alcohol Drinking/epidemiology*

Objective: To investigate the association between tea consumption and the risk of all-cause and cause-specific mortality among Chinese adults. Methods: This study was based on China Kadoorie Biobank (CKB). Tea consumption information was self-reported by participants at baseline. Death was mainly identified by linkage to the death registry system. Cox proportional hazard regression models estimated HR and 95%CI. Results: With a median follow-up of 11.1 years, there were 34 661 deaths in 438 443 participants. Compared with those who never drink tea, all-cause mortality HR(95%CI) were 0.89(0.86-0.91) and 0.92(0.88-0.95) for non-daily tea drinkers and daily tea drinkers, respectively. A statistically significant difference was found in the association of tea consumption and the risk of all-cause mortality between men and women(interaction P<0.05). The protective effect was mainly seen in men. Compared with those who never drink tea, daily tea drinkers had a reduced risk of death from ischemic heart disease, ischemic stroke, hemorrhagic stroke, cancer, respiration diseases and other causes of death, and the corresponding HR(95%CI) were 0.83(0.76-0.92), 0.82(0.69-0.97), 0.86(0.78-0.94), 1.03(0.97-1.09), 1.00(0.87-1.16), 0.84(0.78-0.90). Among never smokers and non-excessive drinkers, there was no statistically significant association between daily tea drinking and the risk of death from cancer. While smokers and excessive drinkers had an increased risk of death from cancer (interaction P<0.001). Conclusions: Tea consumers had reduced risks of all-cause mortality and partial cause-specific mortality, but not for the risk of death from cancer. On the contrary, daily tea drinkers with smoking habits and excessive alcohol drinking had an increased risk of death from cancer.
Adult ; Alcohol Drinking ; Asians ; China/epidemiology* ; Female ; Humans ; Male ; Prospective Studies ; Risk Factors ; Tea/adverse effects*

BACKGROUND: Although the postpartum period is suggested to provide an ideal opportunity for interventions to prevent hazardous drinking, evidence on the associations of education and income with hazardous drinking during this period is limited, including in Japan. METHODS: We analyzed data from 11,031 women who participated in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Japan. Hazardous drinking was defined as ethanol intake of ≥20 g/day 1 year after delivery. We conducted multiple logistic regression analyses to examine whether educational attainment or equivalent household income was associated with hazardous drinking, adjusting for age, parity, drinking status during pregnancy, work status, postpartum depression, breastfeeding, and income/education. We also conducted stratified analyses by income and education groups. RESULTS: The prevalence of hazardous drinking 1 year after delivery was 3.6%. Lower education was associated with hazardous drinking; the odds ratio (95% confidence interval) of high school education or lower compared with university education or higher was 2.17 (1.59-2.98). Lower income was also associated with hazardous drinking, but this association disappeared after further adjustments for education; the odds ratios (95% confidence intervals) of the lowest compared with highest level of income were 1.42 (1.04-1.94) and 1.12 (0.81-1.54), respectively. A significant interaction was detected; lower education and lower income were associated with increased risks of hazardous drinking only in a lower income group and lower education group, respectively. CONCLUSIONS Postpartum women with lower education and lower income had higher risks of hazardous drinking in Japan.
Adult ; Alcohol Drinking/psychology* ; Cohort Studies ; Educational Status ; Female ; Humans ; Income/statistics & numerical data* ; Japan/epidemiology* ; Postpartum Period ; Pregnancy ; Risk Factors ; Young Adult

BACKGROUND: This study aimed to describe the status of alcohol consumption and drug use among young adults as well as their determinants. METHODS: We conducted a cross-sectional study of 356 young adults (aged 18 to 24 years) living in Palau in 2013. The prevalence of self-reported alcohol and marijuana usage were compared within and between sexes, age groups, ethnicities, and education levels. RESULTS: The proportion of current drinking was higher in people aged 21-24 than in those aged 18-20 (73.2% vs. 60.9%, p = 0.09 in men and 48.3% vs. 30.0%, p = 0.02 in women), while that of marijuana use did not differ between the age groups. The proportions of current drinking and marijuana use were higher in Palauan than in other ethnicities (current drinking: 70.6% vs. 40.6%, p = 0.005 in men and 38.8% vs. 16.6%, p = 0.04 in women; lifetime marijuana use: 80.0% vs. 52.9%, p = 0.02 in men and 56.1% vs. 30.6%, p = 0.09 in women). The proportion of frequent (3 times or more) marijuana users was higher for the lower educated than for the higher educated (62.5% vs. 32.1%, p < 0.001 in men and 33.9% vs. 24.4%, p = 0.12 in women). CONCLUSIONS Sex, age, ethnicity, and education were significant determinants of alcohol and marijuana use.
Age Factors ; Alcohol Drinking/ethnology* ; Cross-Sectional Studies ; Educational Status ; Female ; Humans ; Male ; Marijuana Use/ethnology* ; Palau/epidemiology* ; Prevalence ; Sex Factors ; Young Adult

BACKGROUND: We aimed to estimate the prevalence of depressive symptoms as well as suicide-related ideation among Japanese university students during the stay-home order necessitated by the coronavirus disease 2019 pandemic in Japan, and offer evidence in support of future intervention to depression and suicide prevention strategies among college and university students. METHODS: The data for this cross-sectional study were derived from the Student Mental Health Survey conducted from May 20 to June 16, 2020 at a national university in Akita prefecture. Among the 5111 students recruited, 2712 participated in this study (response rate, 53%; mean age ± standard deviation, 20.5 ±3.5 years; men, 53.8%). Depressive symptoms were identified by using the Patient Health Questionnaire-9 (PHQ-9). RESULTS: The prevalence of moderate depressive symptoms based on a PHQ-9 score ≥10 and suicide-related ideation based on question 9 of PHQ-9 ≥1, which encompasses thoughts of both suicide and self-harm, was 11.7% and 6.7%, respectively. Multivariable logistic regression analyses showed that risk factors for depression included being a woman, smoking, alcohol consumption, and social network communication using either video or voice. For suicide-related ideation, alcohol consumption was the only risk factor. Exercise and having someone to consult about worries were associated with decreased risk of both depressive symptoms and suicide-related ideation. CONCLUSIONS Negative lifestyles of smoking and drinking, and being a woman, may be important risk factors for depressive symptoms, whereas exercise and having someone to consult about worries may be protective factors.
Adolescent ; Alcohol Drinking ; COVID-19/psychology* ; Cross-Sectional Studies ; Depression/epidemiology* ; Female ; Humans ; Japan/epidemiology* ; Logistic Models ; Male ; Multivariate Analysis ; Pandemics ; Risk Factors ; Smoking ; Students/psychology* ; Suicidal Ideation ; Surveys and Questionnaires ; Young Adult

OBJECTIVES: To analyze the prevalence and influencing factors for drinking behavior and heavy drinking among government employees in Changsha and provide a basis for carrying out interventions for drinking behaviors and formulating public health promotion plans for government employees. METHODS: Government employees were recruited consecutively from the Health Management Center of a general hospital in Changsha between December 2017 and December 2018. Information on sociodemograpic characteristics, drinking behaviors, life events, and psychosocial characteristics was collected using a standard set of questionnaire. Drinking behavior was defined as drinking once or more per week for the past 12 months. The differences in drinking rates and excessive drinking rates among groups with different characteristics were compared. Multivariate analysis was performed to analyze the associated factors of drinking behaviors and heavy drinking for government employees. RESULTS: A total of 6 190 people completed this investigation. The overall drinking rate of government employees in Changsha was 21.9%, and the rate of drinking was higher in males than that in females (44.7% vs 4.0%, CONCLUSIONS The drinking and heavy drinking rates of government employees are high in Changsha. Marital status, physical exercise, and frequency of social intercourse are the common influencing factors of male drinking behavior and female drinking behavior. The life events stimulation is the influencing factor of heavy drinking.
Adult ; Alcohol Drinking/epidemiology* ; Female ; Government Employees ; Health Behavior ; Humans ; Male ; Middle Aged ; Risk Factors ; Smoking