We assessed the association of employee lifestyles (e.g., smoking, exercise, drinking, and sleep habits) with mental health-related absenteeism and turnover rates utilizing data from the annual Health and Productivity Management survey by Japan’s Ministry of Economy, Trade and Industry. This analysis included data from 1,748 companies, encompassing 4,199,021 employees. The average proportions of mental health-related absenteeism and employee turnover rates were 1.1±1.0% and 5.0±5.0%, respectively. In multivariable regression models that incorporated all lifestyle factors and confounders, a 1 percentage point increase in the proportion of employees who slept well was associated with reductions in their turnover rate (mean, -0.020%; 95% confidence interval [CI], -0.038 to -0.002) and in mental health-related absenteeism (mean, -0.005%; 95% CI, -0.009 to 0.001). A similar increase in the proportion of employees engaging in regular physical activity corresponded with a 0.005% decrease in the prevalence of mental health-related absenteeism (95% CI, -0.010 to -0.001). A 1 percentage point increase in the proportion of employees who smoked was associated with a 0.013% reduction in mental health-related absenteeism (95% CI, -0.017 to -0.008). Nonetheless, the current study’s observational and cross-sectional design restricted the ability to establish causality between employee lifestyle factors and mental health issues.

We assessed the association of employee lifestyles (e.g., smoking, exercise, drinking, and sleep habits) with mental health-related absenteeism and turnover rates utilizing data from the annual Health and Productivity Management survey by Japan’s Ministry of Economy, Trade and Industry. This analysis included data from 1,748 companies, encompassing 4,199,021 employees. The average proportions of mental health-related absenteeism and employee turnover rates were 1.1±1.0% and 5.0±5.0%, respectively. In multivariable regression models that incorporated all lifestyle factors and confounders, a 1 percentage point increase in the proportion of employees who slept well was associated with reductions in their turnover rate (mean, -0.020%; 95% confidence interval [CI], -0.038 to -0.002) and in mental health-related absenteeism (mean, -0.005%; 95% CI, -0.009 to 0.001). A similar increase in the proportion of employees engaging in regular physical activity corresponded with a 0.005% decrease in the prevalence of mental health-related absenteeism (95% CI, -0.010 to -0.001). A 1 percentage point increase in the proportion of employees who smoked was associated with a 0.013% reduction in mental health-related absenteeism (95% CI, -0.017 to -0.008). Nonetheless, the current study’s observational and cross-sectional design restricted the ability to establish causality between employee lifestyle factors and mental health issues.

We assessed the association of employee lifestyles (e.g., smoking, exercise, drinking, and sleep habits) with mental health-related absenteeism and turnover rates utilizing data from the annual Health and Productivity Management survey by Japan’s Ministry of Economy, Trade and Industry. This analysis included data from 1,748 companies, encompassing 4,199,021 employees. The average proportions of mental health-related absenteeism and employee turnover rates were 1.1±1.0% and 5.0±5.0%, respectively. In multivariable regression models that incorporated all lifestyle factors and confounders, a 1 percentage point increase in the proportion of employees who slept well was associated with reductions in their turnover rate (mean, -0.020%; 95% confidence interval [CI], -0.038 to -0.002) and in mental health-related absenteeism (mean, -0.005%; 95% CI, -0.009 to 0.001). A similar increase in the proportion of employees engaging in regular physical activity corresponded with a 0.005% decrease in the prevalence of mental health-related absenteeism (95% CI, -0.010 to -0.001). A 1 percentage point increase in the proportion of employees who smoked was associated with a 0.013% reduction in mental health-related absenteeism (95% CI, -0.017 to -0.008). Nonetheless, the current study’s observational and cross-sectional design restricted the ability to establish causality between employee lifestyle factors and mental health issues.

We assessed the association of employee lifestyles (e.g., smoking, exercise, drinking, and sleep habits) with mental health-related absenteeism and turnover rates utilizing data from the annual Health and Productivity Management survey by Japan’s Ministry of Economy, Trade and Industry. This analysis included data from 1,748 companies, encompassing 4,199,021 employees. The average proportions of mental health-related absenteeism and employee turnover rates were 1.1±1.0% and 5.0±5.0%, respectively. In multivariable regression models that incorporated all lifestyle factors and confounders, a 1 percentage point increase in the proportion of employees who slept well was associated with reductions in their turnover rate (mean, -0.020%; 95% confidence interval [CI], -0.038 to -0.002) and in mental health-related absenteeism (mean, -0.005%; 95% CI, -0.009 to 0.001). A similar increase in the proportion of employees engaging in regular physical activity corresponded with a 0.005% decrease in the prevalence of mental health-related absenteeism (95% CI, -0.010 to -0.001). A 1 percentage point increase in the proportion of employees who smoked was associated with a 0.013% reduction in mental health-related absenteeism (95% CI, -0.017 to -0.008). Nonetheless, the current study’s observational and cross-sectional design restricted the ability to establish causality between employee lifestyle factors and mental health issues.

BACKGROUND/OBJECTIVES: Recent studies have reported an association of the angiotensin II type 2 receptor (AT2R) 3123Cytosine/Adenine (3123C/A) polymorphism with essential hypertension and cardiovascular diseases. The purpose of the study was to investigate whether the AT2R 3123C/A polymorphism affects blood pressure for free-living hypertensive men during a 5-month intervention period. SUBJECTS/METHODS: The subjects were free-living hypertensive Japanese men aged 40 to 75 years who agreed to intervention in the period from 2004 to 2011. Detection of the AT2R 3123C/A polymorphism was determined by polymerase chain reaction. The dietary intervention was designed to decrease salt level and to increase potassium level through cooking instructions and self-monitoring of the diet. The exercise session consisted of activities such as stretching, resistance training, and walking. Blood pressure, urinary sodium and potassium excretion, dietary and lifestyle data, and non-fasting venous blood sample were collected at baseline and after the intervention period. RESULTS: Thirty nine subjects were eligible for participation and the follow-up rate was 97.4%. The C allele proportion was 57.9%. AT2R 3123C/A polymorphism was X-chromosome-linked, therefore we analyzed the C and A genotypes. At baseline, no significant differences were observed between the genotype groups. After the intervention, there were no significant differences in lifestyle habit between the groups. Nevertheless, the estimated salt excretion (g/day) was significantly decreased only in the C genotype (13.0-10.3, P = 0.031). No significant change was observed in systolic blood pressure (SBP) (mmHg) in the A genotype, but a significant decrease was observed in the C genotype (150.0-141.5, P = 0.024). CONCLUSTIONS: In the C genotype, it might be easy to improve SBP through lifestyle intervention in free-living hypertensive Japanese men, however generalization could not be achieved by the small sample size.
Alleles ; Asian Continental Ancestry Group ; Blood Pressure* ; Cardiovascular Diseases ; Cooking ; Diet ; Follow-Up Studies ; Generalization (Psychology) ; Genotype* ; Humans ; Hypertension ; Life Style* ; Male ; Polymerase Chain Reaction ; Potassium ; Receptor, Angiotensin, Type 2* ; Resistance Training ; Sample Size ; Sodium ; Walking