The number of years in shift work and possibility to influence the shift schedule were significant predictors of insomnia (p<.001) but were unrelated to sleep length. Insomnia was related to a high number of consecutive night shifts (p=.006), less than 28 hours of free time after the last nigh shift (p=.013), and backward rotating shift system (p=.019). Shorter sleep was associated with early starting morning shifts (p=.030) and a high number of single free days between two shift periods (p=.047) and marginally with the maximum length of shift (p =.067). Quick returns and early morning shifts were marginally significantly associated with insomnia (p-values .091, .069). Additional adjustments for education and life habits did not change the Results: The present results suggest that the sleep of shift workers would benefit from employee control over working times and shift systems that properly take into account the extra need for recovery in shift work. Objectives: Karasek's Job Content Questionnaire (JCQ) has been adopted to assess psychosocial work environment according to the Demand-Control-Support (DCS) model. Meanwhile, for instance, the Demand-Control-Support Questionnaire (DCSQ) is also used in Scandinavian countries. We translated it into Japanese, i.e., the Japanese-translated DCSQ (J-DCSQ), and investigated its reliability and validity. Methods: The subjects were volunteer 239 workers in 19 nursery schools in Japan. Psychological demands (PD: calculated with 5 items), decision latitude (DL: 6 items), and social support (SS: 6 items) were assessed with the J-DCSQ. One-week test-retest reliability and internal consistency were estimated by means of intra-class correlation coefficient (ICC) and Cronbach's alpha, respectively. Concurrent validity was evaluated with Pearson's correlation coefficient for which the Japanese-version JCQ (J-JCQ) was used as the reference. Factorial validity was evaluated with factor analysis. Results: ICCs were 0.80, 0.83, and 0.81 for PD, DL, and SS, respectively. Correspondingly, Cronbach's coefficient alphas and Pearson's correlation coefficients were 0.65, 0.63, 0.87 and 0.72, 0.61, 0.57 for PD, DL, SS. Factor analysis suggested a 4-factor construction which explained the variance as much as 50%. The first factor was constructed of 4 DL items. The second factor included the whole of SS items. The third factor was composed of 3 PD items and 2 DL items. The last factor was constituted of 3 DL items and 1 PD item. Conclusions: The J-DCSQ exhibited as equivalent reliability as the J-JCQ. The present findings suggested adequate concurrent validity of the J-DCSQ. Factor analysis did not present factor structure of the J-DCSQ as theoretically hypothesized. Previous studies also reported similar factor structure of the J-JCQ. Further studies are needed to better identify psychosocial properties among larger samples. Although previous studies revealed that long working hours predicted fatigue and depressive symptoms, little is known about how these relationships vary among different industries or occupations. This study examined the effect of working hours on fatigue and depressive symptoms among particular industries and occupations. Longitudinal data on 1,588 Japanese daytime workers (575 women and 1,013 men) were used to estimate the effect of working hours on fatigue and depressive symptoms. Working hours per week at baseline was divided into three categories: "less than 60 h" (N=1,346, 84.8%), "61-65 h" (N=87, 5.5%), and "66 h or more" (N=155, 9.8%). Participants completed the Self-Diagnosis Check List for Assessment of Worker's Accumulated Fatigue developed by the Japan Ministry of Health, Labour, and Welfare, and the Center for Epidemiologic Studies Depression Scale at 1-year follow-up. Industries were divided into 13 categories based on the International Standard Industrial Classification of All Economic Activities, Rev. 4 by the United Nations.