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.

Objective: Two types of symbols have been established as industry standards in terms of two-dimensional (2D) symbols with prescription information: one for objects to be printed on prescriptions and the other for electronic versions of medication diaries. However, no studies have investigated the system for using 2D symbols in pharmacies and hospitals/clinics as well as the quality of the information actually stored in these 2D symbols. Therefore, we conducted a survey to clarify the current status and problems pertaining to prescription information sharing via 2D symbols.Methods: We distributed questionnaires to community pharmacies through the Fukui Pharmaceutical Association and asked them to cooperate with us during the survey. The list of items in the survey　included the installation status of devices necessary for reading 2D symbols at each pharmacy, receipt computer in use, and status of the support issued by hospitals/clinics for reading 2D symbols. At the same time, we received 2D symbols created by community pharmacies and conducted reading tests to examine issues related to the collection of prescription information via 2D symbols at medical institutions.Results: The response rate for the survey was 21.8%. Among the 57 stores that responded to the survey, 26 (45.6%) answered that they could read prescription symbols, and 22 of them had actually used the system till date. In addition, 38 community pharmacies were able to provide the 2D symbols for medication diaries. Of the 30 provided symbols for medication diaries, 16 (53.3%) could be read as Japanese data by the barcode reader used.Conclusions: It has become clear that the 2D symbols with stored prescription information are not being completely utilized at present, as both community pharmacies and hospitals/clinics face several issues such as hardware maintenance, software updates, and time and effort required for the usage.

Methods: We retrospectively reviewed the medical records of 198 women aged 40–70 years who underwent mass screening for osteoporosis at our hospital between 2016 and 2019. The BMD values and the following data were collected: age, body mass index, fracture history, lower back pain, height loss, kyphosis, history of fragility fracture, family history of vertebral or hip fracture, and menopause. The reliability of each data point for the young adult mean <80% was calculated using discriminant analysis. Variables with large weight coefficients were selected and scored. This scoring tool was examined, and a cutoff score for predicting the young adult mean <80% was determined. Results: Sixty-four participants (32.3%) had a young adult mean <80%. According to the weight coefficients, the following five variables were scored as follows: age ≥60 years 3 points, body mass index <22 kg/m2 3 points, lower back pain 1 point, height loss (cm) 1 point, and menopause 1 point. The area under the receiver operating characteristic curve was 0.738 (95% confidence interval, 0.669–0.807). At cutoff scores of ≥5 and <5, the sensitivity was 82.8%, with specificity of 52.0%. Conclusions The scoring tool performed well for predicting young adult mean <80% among perimenopausal and postmenopausal women in Japan. This tool may be useful to screen for low BMD.

[Introduction] During the 10-year period between 2006 to 2016, the number of acupuncture-moxibustion clinics has increased by 59%. There have been some nationwide surveys on the business conditions of massage-acupuncture-moxibustion clinics, but there have been no studies focusing on acupuncture-moxibustion clinics. It is necessary to investigate their actual business conditions as part of the basic data required for considering the future of such clinics. In this paper, we focus and report on the business conditions of the clinics from our nationwide survey data base.[Method] A survey was conducted on a total of 20,000 massage-acupuncture-moxibustion clinics in Japan extracted with a stratified random sampling, including 15,000 private management clinics, 2,000 corporate clinics and 3,000 house call service suppliers. The survey was mailed out in October 2016. Replies from active acupuncture-moxibustion licensees were extracted and the questionnaires on the following items were analyzed; the number of patients, treatment fees, annual income, business type, and licenses. The calculated values are expressed as real values, percentiles, median values, and interquartile range.[Results and Conclusion] The average number of patients per month: 98, average treatment fee: 3,000 yen, and average annual income: 3,240,000 yen were shown to be the standard features of the business conditions for acupuncture-moxibustion clinics in Japan. The distribution of the aggregate values showed a large dispersion. Extreme bipolarization is shown in the annual income. It seemed to affect the low rate for receiving acupuncture-moxibustion treatments, and the unnecessary expenditure for judo therapies. More detailed analysis is required to clarify the actual business conditions of acupuncture-moxibustion clinics.

OBJECTIVE: Many studies have reported pre-processing effects for brain volumetry; however, no study has investigated whether non-parametric non-uniform intensity normalization (N3) correction processing results in reduced system dependency when using an atlas-based method. To address this shortcoming, the present study assessed whether N3 correction processing provides reduced system dependency in atlas-based volumetry. MATERIALS AND METHODS: Contiguous sagittal T1-weighted images of the brain were obtained from 21 healthy participants, by using five magnetic resonance protocols. After image preprocessing using the Statistical Parametric Mapping 5 software, we measured the structural volume of the segmented images with the WFU-PickAtlas software. We applied six different bias-correction levels (Regularization 10, Regularization 0.0001, Regularization 0, Regularization 10 with N3, Regularization 0.0001 with N3, and Regularization 0 with N3) to each set of images. The structural volume change ratio (%) was defined as the change ratio (%) = (100 x [measured volume - mean volume of five magnetic resonance protocols] / mean volume of five magnetic resonance protocols) for each bias-correction level. RESULTS: A low change ratio was synonymous with lower system dependency. The results showed that the images with the N3 correction had a lower change ratio compared with those without the N3 correction. CONCLUSION: The present study is the first atlas-based volumetry study to show that the precision of atlas-based volumetry improves when using N3-corrected images. Therefore, correction for signal intensity non-uniformity is strongly advised for multi-scanner or multi-site imaging trials.
Adult ; Atlases as Topic ; Brain Mapping/*methods ; Female ; Humans ; Image Enhancement/methods ; Image Processing, Computer-Assisted/*methods ; Magnetic Resonance Imaging/*methods ; Male ; Middle Aged ; Software ; Statistics, Nonparametric

[Objective]The present study investigated the relationship between subjective symptoms of katakori (shoulder stiffness) and shoulder hardness which was examined both with clinical palpation and a mechanical device, as well as the correlation between these two measurements.
[Methods]Subjects were enrolled to the study if they had a stiff shoulder on the day of the visit (katakori group, n = 60) or if they had no experience of katakori in their lifetime (non-katakori group, n = 10). The intensity of the katakori was evaluated with a visual analogue scale (VAS). Shoulder hardness was evaluated at acupoint Jianjing (GB21) and at the point where the subject felt the most intensive symptom by both palpation of experienced acupuncturists who were unaware of the allocation and a hardness meter. The method of acupuncture treatment was decided by acupuncturists who were not an evaluator of the hardness.
[Results and Discussion]There was no significant relationship in the hardness measured with the device and palpation between the katakori group and non-katakori group. Also, the intensity of katakori (VAS) and the changes after treatment showed no significant correlation with the hardness and its changes. These results support the validity of our clinical experience that patients who complain of severe shoulder stiffness do not always have a hard shoulder.