Promise and pitfalls in the application of big data to occupational and environmental health

EditorialIs “big data” merely a catchphrase, or does the approach hold real promise in informing occupational and environmental health? Can challenges related to messy and unrepresentative data and spurious findings be overcome

The contribution of employer characteristics to continued employment of employees with residual work capacity:evidence from register data in The Netherlands

OBJECTIVES: This study aimed to examine the contribution of employer characteristics to continued employment of employees with residual work capacity. Moreover, we examined whether the contribution of employer characteristics differs across types of employers and employees’ types of diseases. METHODS: Register data on disability assessments and employment status of N=84 394 long-term sick-listed employees with residual work capacity were obtained from the Dutch Employee Insurance Agency between 2010 and 2017. The dependent variable was continued employment four months after the assessment. We linked employees to their (former) employer to measure sector, firm size, and workforce composition. The average employment outcome of all employees assessed in the same firm and year served as a proxy measure for the extent of implemented disability-related policies and practices. Using multilevel multiple regression analysis, we compared the relative contribution of employer characteristics with employees’ characteristics. RESULTS: Employer characteristics accounted for 10% of the variability in employment outcomes. In comparison, employees’ socio-demographic and disease characteristics accounted for 13% of the variability. The prevalence of continued employment was lowest in smaller firms and construction and low-wage service-orientated sectors. Furthermore, there were sizeable differences in employment outcomes between similar employers in terms of size, sector and workforce-composition, particularly between larger firms and among employees with mental or musculoskeletal disorders compared to other diseases. CONCLUSIONS: This study shows substantial differences between employers in facilitating continued employment of employees with residual work capacity. Encouraging firms to invest more in disability-related policies and practices may result in better employment opportunities for these employees

Association between self-reported sleep duration and cardiometabolic risk in corporate executives

Purpose: This cross-sectional study aimed to compare the association between self-reported sleep duration and cardiometabolic risk among men and women corporate executives and investigate potential lifestyle, work- and stress-related mediators thereof. Methods: Self-reported sleep duration and lifestyle, occupational, psychological and measured anthropometrical, blood pressure (BP) and blood marker variables were obtained from health risk assessment data of 3583 corporate executives. Sex-stratified regression analyses investigated the relationships between occupational and psychological variables with self-reported sleep duration, and sleep duration with individual cardiometabolic risk factors. Mediation analyses investigated the effects of work, psychological and lifestyle factors on the relationships between self-reported sleep duration and cardiometabolic risk factors, as well as a continuous cardiometabolic risk score calculated from the sum of sex-stratified z-standardized scores of negative fasting serum HDL, and positive plasma Glu, serum TG, body mass index (BMI), waist circumference, systolic and diastolic BP. Results: Longer work hours and work commute time, depression, anxiety and stress were associated with shorter sleep duration in both men and women (all p < 0.05). Shorter sleep duration was associated with higher BMI, larger waist circumference and greater cardiometabolic risk scores in both men and women (all p < 0.05), higher diastolic BP in men (p < 0.05) and lower HDL cholesterol in women (p < 0.05). Physical activity, working hours and stress significantly mediated the relationships between self-reported sleep duration and BMI, waist circumference, diastolic BP and cardiometabolic risk score in men only. Conclusion: In these corporate executives, shorter self-reported sleep duration is associated with poorer psychological, occupational and cardiometabolic risk outcomes in both men and women. Given that physical activity, working hours and stress mediate this association among the men, the case for sleep health interventions in workplace health programmes is warranted

Longitudinal associations between self-reported sleep duration and cardiometabolic disease risk in corporate executives

Objective: This study aimed to determine the longitudinal associations between self-reported sleep duration and cardiometabolic disease (CMD) risk in corporate executives. Methods: Self-reported sleep duration and lifestyle, occupational, psychological, and anthropometrical, blood pressure and blood marker variables were obtained from 1512 employees at annual health risk assessments in South Africa between 2016 and 2019. Gender-stratified linear mixed models, adjusting for age, lifestyle, occupational and psychological covariates were used to explore these longitudinal associations. Results: Among women, shorter sleep duration was associated with higher body mass index (BMI) covarying for age only (ß with 95% confidence intervals: −0.19 [−0.36, −0.03]), age and occupational factors (−0.20 [−0.36, −0.03]) and age and psychological factors (−0.20 [−0.37, −0.03]). Among men, shorter sleep was associated with both BMI and waist circumference (WC) covarying for age only (BMI: −0.15 [−0.22; −0.08]; WC: −0.62 [−0.88; −0.37]); age and lifestyle factors (BMI: −0.12 [−0.21; −0.04]); WC: −0.016 [−0.92; −0.29], age and occupational factors (BMI: −0.20 [−0.22; 0.08]; WC: −0.62 [−0.88; −0.36]), and age and psychological factors (BMI: −0.15 [−0.22; −0.07]; WC: −0.59 [−0.86; −0.33]). Among men, shorter sleep was also longitudinally associated with higher CMD risk scores in models adjusted for age and lifestyle factors (CMD: −0.12 [−0.20; −0.04]) and age and psychological factors (CMD: −0.08 [−0.15; −0.01]). Conclusion: Corporate executives who report shorter sleep durations may present with poorer CMD risk profiles, independent of age, lifestyle, occupational and psychological factors. Addressing sleep health in workplace health programmes may help mitigate the development of CMD in such employees.</p

Manage at Work: A Randomized, Controlled Trial of a Self-Management Group Intervention to Overcome Workplace Challenges Associated with Chronic Physical Health Conditions

Background: The percentage of older and chronically ill workers is increasing rapidly in the US and in many other countries, but few interventions are available to help employees overcome the workplace challenges of chronic pain and other physical health conditions. While most workers are eligible for job accommodation and disability compensation benefits, other workplace strategies might improve individual-level coping and problem solving to prevent work disability. In this study, we hypothesize that an employer-sponsored group intervention program employing self-management principles may improve worker engagement and reduce functional limitation associated with chronic disorders. Methods: In a randomized controlled trial (RCT), workers participating in an employer-sponsored self-management group intervention will be compared with a no-treatment (wait list) control condition. Volunteer employees (n = 300) will be recruited from five participating employers and randomly assigned to intervention or control. Participants in the intervention arm will attend facilitated group workshop sessions at work (10 hours total) to explore methods for improving comfort, adjusting work habits, communicating needs effectively, applying systematic problem solving, and dealing with negative thoughts and emotions about work. Work engagement and work limitation are the principal outcomes. Secondary outcomes include fatigue, job satisfaction, self-efficacy, turnover intention, sickness absence, and health care utilization. Measurements will be taken at baseline, 6-, and 12-month follow-up. A process evaluation will be performed alongside the randomized trial. Discussion: This study will be most relevant for organizations and occupational settings where some degree of job flexibility, leeway, and decision-making autonomy can be afforded to affected workers. The study design will provide initial assessment of a novel workplace approach and to understand factors affecting its feasibility and effectiveness

Mental health of healthcare workers during the first year of the COVID-19 pandemic in the Netherlands: a longitudinal study

PurposeIn March 2020, the WHO declared COVID-19 a pandemic. Previous virus outbreaks, such as the SARS outbreak in 2003, appeared to have a great impact on the mental health of healthcare workers. The aim of this study is to examine to what extent mental health of healthcare workers differed from non-healthcare workers during the first year of the COVID-19 pandemic.MethodsWe used data from a large-scale longitudinal online survey conducted by the Corona Behavioral Unit in the Netherlands. Eleven measurement rounds were analyzed, from April 2020 to March 2021 (N = 16,615; number of observations = 64,206). Mental health, as measured by the 5-item Mental Health Inventory, was compared between healthcare workers and non-healthcare workers over time, by performing linear GEE-analyses.ResultsMental health scores were higher among healthcare workers compared to non-healthcare workers during the first year of the pandemic (1.29 on a 0–100 scale, 95%-CI = 0.75–1.84). During peak periods of the pandemic, with over 100 hospital admissions or over 25 ICU admissions per day and subsequently more restrictive measures, mental health scores were observed to be lower in both healthcare workers and non-healthcare workers.ConclusionDuring the first year of the COVID-19 pandemic, we observed no relevant difference in mental health between healthcare workers and non-healthcare workers in the Netherlands. To be better prepared for another pandemic, future research should investigate which factors hinder and which factors support healthcare workers to maintain a good mental health

Associations Between Self-Reported Sleep Duration and Mortality in Employed Individuals:Systematic Review and Meta-Analysis

Objective: Sleeping less or more than the 7-8 h has been associated with mortality in the general population, which encompasses diversity in employment status, age and community settings. Since sleep patterns of employed individuals may differ to those of their unemployed counterparts, the nature of their sleep-mortality relationship may vary. We therefore investigated the association between self-reported sleep duration and all-cause mortality (ACM) or cardiovascular disease mortality (CVDM) in employed individuals. Data sources: Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses, searches between January 1990 and May 2020 were conducted in PubMed, Web of Science and Scopus. Inclusion/exclusion criteria: Included were prospective cohort studies of 18–64-year-old disease-free employed persons with sleep duration measured at baseline, and cause of death recorded prospectively as the outcome. Gray literature, case-control or intervention design studies were excluded. Data Extraction: Characteristics of the studies, participants, and study outcomes were extracted. The quality and risk of bias were assessed using the Newcastle-Ottawa Scale. Data synthesis: The pooled relative risks (RR) with 95% confidence intervals (CI) were obtained with a random-effects model and results presented as forest plots. Heterogeneity and sensitivity analysis were assessed. Results: Shorter sleep duration (less than or equal to 6 h) was associated with a higher risk for (ACM) (RR: 1.16, 95% CI: 1.11 -1.22) and CVDM (RR: 1.26, 95% CI: 1.12 -1.41) compared to 7-8 h of sleep, with no significant heterogeneity. The association between longer sleep (greater than or equal to 8 h) and ACM (RR: 1.18, 95% CI:1.12 -1.23, P < 0.001) needs to be interpreted cautiously owing to high heterogeneity (I2 ¼ 86.0%, P < 0.001). Conclusion: Interventions and education programs targeting sleep health in the workplace may be warranted, based on our findings that employed individuals who report shorter sleep appear to have a higher risk for ACM and CVDM

Responsive evaluation: an innovative evaluation methodology for workplace health promotion interventions

Background: Workplace health promotion (WHP) interventions have limited effects on the health of employees with low socioeconomic position (SEP). This paper argues that this limited effectiveness can be partly explained by the methodology applied to evaluate the intervention, often a randomised controlled trial (RCT). Frequently, the desired outcomes of traditional evaluations may not match employees'-and in particular employees with low SEP-needs and lifeworld. Furthermore, traditional evaluation methodologies do not function well in work settings characterised by change resulting from internal and external developments. Objective: In this communication, responsive evaluation is proposed as an alternative approach to evaluating WHP interventions. Responsive evaluation's potential added value for WHP interventions for employees with low SEP in particular is described, as well as how the methodology differs from RCTs. The paper also elaborates on the different scientific philosophies underpinning the two methodologies as this allows researchers to judge the suitability and quality of responsive evaluation in light of the corresponding criteria for good science

Improving mental health of student and novice nurses to prevent dropout:A systematic review

Aims: To provide: (a) an overview of interventions aimed at improving mental health of student or novice nurses; and (b) an evaluation of their effectiveness on dropout-related outcomes. Design: Systematic review. Data sources: Research papers published between January 1971–February 2019 were identified from the following databases: Embase, Medline, PsycInfo, CINAHL, ERIC, the Cochrane Library, Web of Science, and Google Scholar. Review methods: We followed the procedures recommended by the Editorial Board of the Cochrane Collaboration Back Review Group. We included peer-reviewed articles with a quantitative research design, examining interventions aimed at improving mental health of student and novice nurses and their effect on dropout-related outcomes. The large variation in studies prohibited statistical pooling and a synthesis without meta-analysis of studies was performed. Results: We identified 21 studies with three areas of focus: managing stress or stressors (N = 4); facilitating the transition to nursing practice (N = 14); and a combined approach (N = 3). Five studies showed a statistically significant effect on dropout-related outcomes. The overall risk of bias was high. Conclusion: A wide range of interventions are available, but the evidence for their effectiveness is limited. There is a need for high-quality studies in this field, preferably with a randomized controlled design