The present study was a cross-sectional study conducted to reveal the prevalence of metabolic syndrome and its components and describe the features of such prevalence among Japanese workers by clustered business category using big data. The data of approximately 120,000 workers were obtained from a national representative insurance organization, and the study analyzed the health checkup and questionnaire results according to the field of business of each subject. Abnormalities found during the checkups such as excessive waist circumference, hypertension or glucose intolerance, and metabolic syndrome, were recorded. All subjects were classified by business field into 18 categories based on The North American Industry Classification System. Based on the criteria of the Japanese Committee for the Diagnostic Criteria of Metabolic Syndrome, the standardized prevalence ratio (SPR) of metabolic syndrome and its components by business category was calculated, and the 95% confidence interval of the SPR was computed. Hierarchical cluster analysis was then performed based on the SPR of metabolic syndrome components, and the 18 business categories were classified into three clusters for both males and females. The following business categories were at significantly high risk of metabolic syndrome: among males, Construction, Transportation, Professional Services, and Cooperative Association; and among females, Health Care and Cooperative Association. The results of the cluster analysis indicated one cluster for each gender with a higher prevalence of metabolic syndrome components; among males, a cluster consisting of Manufacturing, Transportation, Finance, and Cooperative Association, and among females, a cluster consisting of Mining, Transportation, Finance, Accommodation, and Cooperative Association. These findings reveal that, when providing health guidance and support regarding metabolic syndrome, consideration must be given to its components and the variety of its prevalence rates by business category and gender.

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Risk and preventive factors for heat illness in radiation decontamination workers after the Fukushima Daiichi Nuclear Power Plant accident: Takeyasu Kakamu, et al. Department of Hygiene and Preventive Medicine, Fukushima Medical University School of MedicineObjective: The aim of this study was to reveal factors related to heat illness in radiation decontamination workers and determine effective preventive measures.Methods: A self‐administered questionnaire was sent to 1,505 radiation decontamination workers. The questionnaire included age, sex, duration of decontamination work, previous occupation, education provided by employers regarding heat illness, preventive action against heat illness, and subjective symptoms of heat illness during work. We included 528 men, who replied and answered all questions, in the statistical analysis. Subjective symptoms of heat illness were categorized as “no symptoms”, “Grade I” and “Grade II” according to severity. A multiple linear regression model was used to determine the factors associated with the severity of heat illness.Results: The mean age of the subjects was 47.6 years old (standard deviation: 13.4). Of the 528 workers, 316 (59.8%) experienced heat illness symptoms (213 at Grade I and 103 at Grade II). The results of the stepwise selection revealed that age, outdoor manual labor, adequate sleep, use of a cool vest, and salt intake were selected as preventive factors, whereas living in a company dormitory or temporary housing, wearing light clothing, and consuming breakfast were selected as risk factors for heat illness.Conclusions: Both working conditions and living environment are associated with heat illness in radiation decontamination workers. Type of housing and sleep are also strongly related to heat illness during work. Employers should consider not only the working conditions of the employee but also the employee's daily living conditions, in order to prevent heat illness.

Aim: Polypharmacy in elderly people is a social issue and has been reported to cause not only drug adverse events, but also falls, dysfunction and cognitive decline. Those events may trigger prolonged length of hospitalization. Therefore, the aim of this study was to investigate whether polypharmacy has a prolonging effect on hospitalization.Methods: The study subjects were 584 patients in a university hospital in Japan who had been admitted for hepatectomy, pancreaticoduodenectomy, gastrectomy or colectomy, and to whom clinical pathways had been applied. In this study, polypharmacy was defined as taking five or more regular oral medications, and prolonged hospitalization was defined as hospitalization longer than that determined by the clinical pathway. Multiple logistic regression analysis was performed to investigate whether polypharmacy affects the length of hospitalization.Results: The subjects were 348 males and 236 females, mean ± SD age of 65.8 ± 12.9 years. Among all subjects, 228 (39.0%) were receiving polypharmacy at admission, and the number of patients with prolonged hospitalization was 262 (44.9%). Multiple logistic regression analysis revealed that the following variables were significantly associated with prolonged hospitalization; polypharmacy (odds ratio = 1.532; 95% confidence interval = 1.010–2.327), age 50–59; 2.971 (1.216–7.7758), age 60–69; 2.405 (1.059–5.909), organ pancreas; 0.298 (0.122–0.708), operation time ≥386 min; 2.050 (1.233–3.432), intraoperative bleeding volume ≥401 mL; 2.440 (1.489–4.038), postoperative delirium; 2.395 (1.240–4.734), postoperative infection; 10.715 (4.270–33.059).Conclusion: The current study revealed that polypharmacy at admission was an independent factor for prolonged hospitalization. In future, measures against polypharmacy are required, collaborating with outpatient clinics, family doctors and dispensing pharmacies. Geriatr Gerontol Int 2020; 20: 1085–1090..