Advantages of the Variable Shift System, and Effective Use of Break Time to Better Support the Work Engagement of Nurses on Extended Day Shifts.

OBJECTIVES: The aim of this study is to clarify factors that support the work engagement of nurses, who bear the burden of extended day shifts, by focusing on the advantages of the variable shift system and workday break activities. METHODS: Nurses who were working under a variable shift system were asked to complete a self-report questionnaire to examine the workload, work engagement, work stressors, stress-coping strategies, and stress-coping break time activities, as well as the advantages and disadvantages of the variable shift system. Nine break activities were classified into the following four categories: social activities, rest/relaxation, entertainment, and cognitive activities. The advantages or disadvantages of the variable shift system were scored by developing composite variables using principal component analysis. These variables were used to perform a multiple regression analysis with work engagement as the dependent variable. RESULTS: The advantage score was the variable most strongly correlated with work engagement. In contrast, "Quantitative workload" was negatively correlated with work engagement. Among break activities, in the social activities category correlations were observed in "Both conversation and Email/SNS" and "Conversation only". Although in fact most nurses chose conversation as one of the break options, more than half of the nurses selected rest/relaxation as their ideal break activity. CONCLUSION: Our study suggested that the variable shift system supported the work engagement of nurses who worked extended day shifts. The results also suggested that it would be useful to arrange the employee lounge environment so that employees could freely choose between "conversation" or "taking a rest" depending on the circumstances.

The relationship of sleep complaints risk factors with sleep phase, quality, and quantity in Japanese workers.

Numerous studies have determined that lifestyle factors (smoking, drinking, snacking, etc.) and the bedroom environment can influence sleep. We developed a new sleep scale-the 3-Dimensional Sleep Scale (3DSS)-which measures three elements of sleep: phase, quality, and quantity. The purpose of this study is to determine which risk factors of sleep complaints are associated with these sleep elements. Data were obtained from 366 Japanese day workers (302 men and 64 women). Sleep condition was assessed with the 3DSS, and we also assessed various habits within 2 h of going to bed, including smoking, drinking, snacking, caffeine intake, mobile phone use, and working. We also asked about bedroom environmental conditions (noise, lighting, and temperature and humidity). Multivariate logistic regression analysis using the backward selection method (likelihood ratio) was used, with 3DSS scores as the outcome (i.e., over or under the cutoff). The results showed that smoking was associated with significantly greater odds ratio [2.71 (1.65-4.44)] of disordered sleep phase, while lighting as well as temperature and humidity led to greater odds [3.67 (1.55-8.68), 1.93 (1.20-3.11)] of poor sleep quality. Finally, only noise was significantly related to greater odds [1.98 (1.13-3.46)] of low sleep quantity. These findings indicated the various risk factors of sleep complaints could be associated with different sleep elements. This might help in the effective treatment of sleep complaints.

Psychological state is related to the remission of the Boolean-based definition of patient global assessment in patients with rheumatoid arthritis.

OBJECTIVES: To evaluate whether the psychological state is related to the Boolean-based definition of patient global assessment (PGA) remission in patients with rheumatoid arthritis (RA). METHODS: Patients with RA who met the criteria of swollen joint count (SJC) ≤ 1, tender joint count (TJC) ≤ 1 and C-reactive protein (CRP) ≤ 1 were divided into two groups, PGA remission group (PGA ≤ 1 cm) and non-remission group (PGA > 1 cm). Anxiety was evaluated utilizing the Hospital Anxiety and Depression Scale-Anxiety (HADS-A), while depression was evaluated with HADS-Depression (HADS-D) and the Center for Epidemiologic Studies Depression Scale (CES-D). Comparison analyses were done between the PGA remission and non-remission groups in HADS-A, HADS-D and CES-D. RESULTS: Seventy-eight patients met the criteria for SJC ≤ 1, TJC ≤ 1 and CRP ≤ 1. There were no significant differences between the PGA remission group (n = 45) and the non-remission group (n = 33) in age, sex, disease duration and Steinbrocker's class and stage. HADS-A, HADS-D and CES-D scores were significantly lower in the PGA remission group. CONCLUSIONS: Patients with RA who did not meet the PGA remission criteria despite good disease condition were in a poorer psychological state than those who satisfied the Boolean-based definition of clinical remission. Psychological support might be effective for improvement of PGA, resulting in the attainment of true remission.

[Analysis of case studies to evaluate supports for depressive white-collar workers who are returning to work after sick leave].

PURPOSE: In Japan, mental health problems due to work stress among white-collar workers have become an important topic which needs to be addressed. As for the support for workers who are returning to work after sick leave, reliable findings have not yet been reported. The purpose of the present study was to obtain findings concerning support for workers who are returning to work after sick leave. METHOD: We analyzed cases studies of white-collar workers between Jan. 1983 and May 2009. RESULTS: We identified 9 types of support; sick leave, change of work place, change of boss, change of work, decreasing work load, introduction of a decreased work load period, limiting work, consultation with corporate health care staff, and intervention by a party other than the company. DISCUSSION: Generally speaking, it has been revealed that each support has both positive and negative influences upon employees returning to work. In addition, consulting with corporate health care staff (p<0.01) showed significantly higher rates of no relapse into depression than in the absence of such consulting. However, this finding might be accompanied with a problem of potential bias with respect to published articles, and the relationship between health care professionals (i.e., physicians, occupational nurses, counselors, etc.) and a depressive worker. In addition, the content and date of a company's support for a worker returning to work might vary significantly. Thus, we need to be very careful in interpreting these findings.