The purpose of this study was to clarify the relationship between frequency of bathing in a spa and at home and the characteristics of the body, blood, and lifestyle of white-collar and blue-collar male employees.
To recruit subjects, two baseline data for randomized controlled trials in two places in Shimane Prefecture and in Nagano Prefecture were used. In the two-month period between August and September 2006, 43 of 311 white-collar male employees aged between 30 and 57 years in the Unnan municipal office volunteered to participate in this study. Similarly, 44 blue-collar workers in Nagano Prefecture volunteered to be involved in this study as a result of an appeal for volunteers in local newspapers and public information journals published by large local enterprises from September through November 2006. A total of 87 men were subjects of this study. Items evaluated in this study with respect to physique included height, weight, body mass index, waist circumference, hip circumference, and percent of body fat. With respect to strength, they were grip strength, abdominal strength, back strength, and anteflexion. With respect to characteristics of the blood, they were serum glucose, hemoglobin A1c, fructosamine, lactic acid, total cholesterol, triglyceride, HDL cholesterol, LDL cholesterol, free fatty acid, GOT, GPT, γ-GTP, cholinesterase, natural killer cell activity, T cell, B cell, CD4+, CD8+, CD4/8 and uric acid. With respect to mood, Profile of Mood States was evaluated. With respect to lifestyle, the frequency of monthly bathing in a spa and at home was evaluated.
No significant correlation was revealed between frequency of monthly spa bathing and the health indices in the white and blue-collar male workers. The items that were significantly correlated (p<0.05) with frequency of monthly bathing at home were GOT (positive), CD8+ (positive), and mental stress (negative).
In this study, frequency of monthly spa bathing was found to have no significant correlation with the health indices.

 The purpose of this study was to systematically review non-randomized controlled trials of balneotherapy effects on locomotorium diseases in order to assess their quality and organize the evidence.
 We searched the databases of PubMed, CINAHL, Web of Science, JDream ll, and lchushi-Web forpapers published from 1990 to December 2, 2008. Eligible studies were non-randomized controlled trials in which balneotherapy exclusive of underwater exercise was the primary intervention. There was no limitation on the language in which the paper was written.
 We found only 4 papers (2 in English, 1 in Croatian, and 1 in Japanese) that fulfilled the eligibility criteria. These papers differed in the type of diseases studied, so a meta-analysis could not be applied. Their individual results showed that hot springs treatment in combination with a comprehensive fitness class was more effective than hot springs treatment alone, and that balneotherapy had therapeutic effects on arthrosis deformans, psoriatic arthritis, and lumbago. However, it was difficult to accurately interpret the effects because these papers were deficient in providing descriptions of important details of the studies.
 To improve the quality of future investigations performed with non-randomized controlled trials, we suggest that investigators design a study based on various checklists, implement interventions, conduct evaluations, finally write papers summarizing their findings.

 The purpose of this study was to systemically review cohort studies of the preventive effects on locomotorium diseases in order to collectively evaluate the evidence.
 We searched the databases of PubMed, CINAHL, and lchushi-Web for papers published from1990 to September 17, 2009. The search was not limited by the language in which the paper was written.
 We found only one article (in Japanese) that fulfilled the eligibility criteria. Results in this article showed that bone fractures were significantly lower in the group with two times or more utilization of the hot spa bathing per year compared to the group with one time or less utilization per year, even after adjusting for the confounding effects of exercise habits and WHO-QOL. However, a metaanalysis could not be applied.
 We propose that it is necessary to conduct more cohort studies in which researchers choose suitable outcome measurements that assess long term effects.

 Objective: The objectives of this study were to compare medical expenses for the aged, the index of inter-government differences, nursing care expenses, the percentage of advanced nursing care, life expectancy, and the spa-related variables among rural governments in the same class based on the national criteria, in order to clarify the factors that affect nursing care and medical expenses.  Methods: The Ministry of National Affairs and Communications classifies rural governments into 35 categories based on their population and industry. The subjects of this study were from the category III-0 (population between 100,000 and 150,000, percentage of tertiary industry below 55%) and 11 towns and villages met the eligibility criteria. We used statistical data open to the public in 2007, and calculated the correlation coefficients and multiple regression coefficients using medical expenses for the aged and nursing-care expenses as dependent variable.  Results: Variables that had a significant correlation with medical expenses for the aged were percentage of medical expenses for the aged (r=-0.61, p<0.05), hospital expenses (r=0.88, p<0.05), the index of inter-government differences (r=0.75, p<0.05), and number (per 1,000 people) of spa hotels (r=-0.61, p<0.05). Variables that had significant correlation with nursing care expenses were percentage of people insured (r=-0.65, p<0.05), percentage of people insured who resigned from job(r=0.66, p<0.05), the average life span (r=0.82,p<0.05). Variables that had a significant effect on medical expenses for the aged were hospital expenses (β=0.618, p<0.05), the index of inter-government differences (β=0.334, p<0.05), and (per 1,000 people) of spa hotels (β=-0.210, NS). There was no spa-related variable that had a significant correlation with nursing care expenses, and we did not conduct multiple regression analysis for them.  Conclusion: Although the correlations with the indices for spa among medical expenses for the aged and nursing care expenses were very low, the necessity of clarifying the numerical value of people who used spa actually was shown.