Search

We aimed to study the association of perceived control over scheduling of shifts with objectively measured working hour characteristics in shift workers. The participants were 5128 hospital employees (91% women, 85% nursing personnel, average age 43 years) in period-based work (114:45h/3 weeks) from the 2015 Finnish Public Sector study. Survey responses to a measure of control over scheduling of shifts were linked to payroll data on working hour characteristics during the 91 days preceding the survey. We used multinomial logistic regression to assess differences in dichotomized proportion of working hour characteristics (being full-time worker, number of work shifts, long work weeks (>40h and >48h/week), long work shifts (>12-h), evening and night shifts, quick returns (<11h shift interval), single days off, weekend work, >4 consecutive work shifts, and variability of shift length with cut points at 10% or 25% between employees with high, intermediate, or low control over scheduling of shifts. Analyses were adjusted for age, sex, education, full-/part-time work (where applicable), duration of shift work experience, perceived work ability, children < 18 years in the household, and overall stressfulness of the life situation. Differences between age groups, men and women, and levels of work ability were examined using interaction terms. In adjusted analyses, the proportion of full-time workers was lower among employees with intermediate control over scheduling of shifts compared to those with high control (OR 0.78, 95% CI 0.61-0.98). High proportion (>25%) of weekend work was lower among employees with low control over scheduling of shifts compared to high control (OR 0.75, 95% CI 0.61-0.93). High proportion (>25%) of having >4 consecutive work shifts was associated with lower control over scheduling of shifts (OR 1.35, 95% CI 1.13-1.62). Variability of shift length was lower among employees with intermediate and low control over scheduling of shifts compared to those with high control (OR 0.78, 95% CI 0.66-0.93; OR 0.62, 95% CI 0.51-0.75, respectively). No association was observed between the level of control over scheduling of shifts and high proportion of long work weeks (>25% of >40h weeks and >10% of >48h weeks), long work shifts (>25%), quick returns (>25%), single days off (>25%), and evening or night shifts (>10%) in the whole sample. In subgroup analyses, women with low control over scheduling shifts had lower odds ratio (OR 0.58, 95% CI 0.37-0.91) and men had higher odds ratio (OR 2.97, 95% CI 1.26-6.98) for large proportion of >12-h shifts. In conclusion, the employees with high control over scheduling of shifts had slightly more often unsocial working hour characteristics than those with intermediate or low control over scheduling of shifts. The findings, however, suggest that good work time control in shift work can be possible without compromising shift ergonomics. [ABSTRACT FROM AUTHOR]

Sleep problems are commonly associated with chronic pain. It is not known whether pain is more related to a particular type of sleep problem or to more composite measures of sleep disturbance. The aim of the study was to investigate cross-sectionally the association between three commonly used sleep problem scales and musculoskeletal pain, when controlling for age, lifestyle and work factors. A total of 1032 nurses answered the Epworth Sleepiness Scale, Bergen Insomnia Scale, Pittsburg Sleep Quality Index and questionnaires regarding work, personality and lifestyle factors. Data collection started in October 2014 and ended in November 2015. Data were analyzed with hierarchical multiple regressions. Musculoskeletal pain was associated with Epworth Sleepiness Scale and Bergen Insomnia Scale, with Bergen Insomnia Scale showing the strongest association. Post hoc analyses of the most frequently reported pain locations, back pain headache and neck pain, confirmed that Bergen Insomnia Scale showed the strongest association. Insomnia seems to be more strongly associated with musculoskeletal pain than subjective sleepiness, thus the measures used to explore this association should be carefully selected when studying the relation between disturbed sleep and pain. [ABSTRACT FROM AUTHOR]

Although the prevalence of work-related stress has increased, knowledge on the contributions of that stress to long-term adverse health effects is still lacking. Stress biomarkers can reveal early signs of negative health effects, but no previous studies have measured both acute stress reactions and long-term exposure to job strain using both salivary cortisol and α-amylase (AA). The present study examines the association between job strain and these biomarkers among shift-working female health care professionals in the laboratory and the field. The 95 participants were recruited from hospital wards categorized in either the top (high job strain [HJS] group, n = 42) or the bottom quartile of job strain (low job strain [LJS] group, n = 53), as rated by survey responses. Participants' self-perceived job strain was at least as high or low as the ward's average estimation. Saliva samples were collected during the Trier Social Stress Test (TSST), preselected morning and night shifts, and a day off. There was a larger increase in the cortisol concentration of participants in the HJS than in the LJS group (2.27- vs. 1.48-fold, respectively, nonsignificant) during the TSST. Participants in the HJS group also had higher salivary AA levels 30 min after awakening on the morning-shift day than those in the LJS group (p = .02), whereas the salivary cortisol awakening response on the day off was higher in the LJS group (p = .05, education as a covariate). The remaining stress-biomarker results did not differ significantly between groups. These data suggest that HJS in shift-working health care professionals is weakly associated with changes in stress biomarkers. [ABSTRACT FROM AUTHOR]

An editorial is presented in which the author discusses various growth and development that took place during forty years of publication of periodical "Scandinavian Journal of Work, Environment & Health." Topics discussed include applications of neurophysiological methods in occupational medicine, inclusion of topics such as occupational epidemiology, and musculoskeletal disorders within the publication, and research in the field of occupational and health safety.

Objectives Over 20% of employees in Europe work in shifts. Shift work increases the risk for chronic diseases, but a healthy lifestyle may attenuate the adverse effect of shift work. The aim of this study was to explore food and nutrient intake differences between working time groups. Methods The participants were 1478 employees (55% of men) of an airline divided into three working time groups: day work (n=608), shift work without in-flight work (n=541) and in-flight work (n=329). Measures included laboratory tests, physical measurements, a questionnaire, and food and nutrient intake estimations by a validated 16-item food intake questionnaire. Results Shift working men were less likely to consume vegetables (p<0.001) and fruits (p=0.049) daily than male day and in-flight workers. In women, energy intake from saturated fat was higher among shift workers compared with day workers (12.6 vs 12.2 E%, p=0.023). In older female participants, energy intake from fat and saturated fat was higher in the shift work and in-flight work groups than in the day work group (p<0.001). Conclusions In this study, shift work and working environment were associated with dietary habits, and this association was not explained by other characteristics such as workers' educational level. Shift workers' increased risk for chronic diseases should be taken into account and lifestyle counselling including advice in nutrition should be incorporated in routine occupational healthcare of shift workers. [ABSTRACT FROM AUTHOR]

Objectives: Epidemiological studies suggest that long working hours and shift work may increase the risk of chronic diseases, but the "toxic" elements remain unclear due to crude assessment of working time patterns based on self-reports. In this methodological paper, we present and evaluate objective register-based algorithms for assessment of working time patterns and validate a method to retrieve standard payroll data on working hours from the employer electronic records. Methods: Detailed working hour records from employers' registers were obtained for 12 391 nurses and physicians, a total 14.5 million separate work shifts from 2008-2013. We examined the quality and validity of the obtained register data and designed 29 algorithms characterizing four potentially health-relevant working time patterns: (i) length of the working hours; (ii) time of the day; (iii) shift intensity; and (iv) social aspects of the working hours. Results: The collection of the company-based register data was feasible and the retrieved data matched with the originally published shift plans. The transferred working time records included <0.01% missing data. Two percent were duplicates that could be easily removed. The 29 variables of working time patterns, generated for each year, were stable across the follow-up (year-to-year correlation coefficients from r=0.7-0.9 for 23 variables), their distributions were as expected, and correlations of the variables within the four main dimensions of working hours were plausible. Conclusion: The developed method and algorithms allow a detailed characterization of four main dimensions of working time patterns potentially relevant for health. We recommend this method for future large-scale epidemiological studies. [ABSTRACT FROM AUTHOR]

Aims To evaluate feasibility and effectiveness of lifestyle counseling in occupational setting on decreasing risk for diabetes and cardiovascular disease. Methods A health check-up including physical examination, blood tests, questionnaires and health advice was completed on 2312 employees of an airline company. Participants with elevated risk for type 2 diabetes based on FINDRISC score and/or blood glucose measurement ( n = 657) were offered 1–3 additional lifestyle counseling sessions and 53% of them agreed to participate. After 2.5 years, 1347 employees of 2199 invited participated in a follow-up study. Results Among women and men with low baseline diabetes risk, cardiovascular risk factors increased slightly during follow-up. Larger proportion of the men who attended interventions lost weight at least 5% compared with the non-attendees (18.4% vs. 8.4%, p = 0.031) and their FINDRISC score increased less (0.6 vs. 1.5, p = 0.037). Older age associated with participation in follow-up and higher baseline FINDRISC score and presence of clinical and lifestyle risk factors and problems in sleep and mood increased attendance in interventions. Conclusions Identification of employees with cardiovascular and diabetes risk, and the low intensity lifestyle intervention were feasible in occupational health-care setting. However, the health benefits were modest and observed only for men with increased risk. [ABSTRACT FROM AUTHOR]