Study objectives: The Work, Family, and Health Network Study tested the hypothesis that a workplace intervention designed to increase family-supportive supervision and employee control over work time improves actigraphic measures of sleep quantity and quality.
Design: Cluster-randomized trial.
Setting: A global information technology firm.
Participants: US employees at an information technology firm.
Interventions: Randomly selected clusters of managers and employees participated in a 3-month, social, and organizational change process intended to reduce work-family conflict. The intervention included interactive sessions with facilitated discussions, role playing, and games. Managers completed training in family-supportive supervision.
Measurements and results: Primary outcomes of total sleep time (sleep duration) and wake after sleep onset (sleep quality) were collected from week-long actigraphy recordings at baseline and 12 months. Secondary outcomes included self-reported sleep insufficiency and insomnia symptoms. Twelve-month interviews were completed by 701 (93% retention), of whom 595 (85%) completed actigraphy. Restricting analyses to participants with ≥3 valid days of actigraphy yielded a sample of 473-474 for intervention effectiveness analyses. Actigraphy-measured sleep duration was 8 min/d greater among intervention employees relative to controls (P < .05). Sleep insufficiency was reduced among intervention employees (P = .002). Wake after sleep onset and insomnia symptoms were not different between groups. Path models indicated that increased control over work hours and subsequent reductions in work-family conflict mediated the improvement in sleep sufficiency.
Conclusions: The workplace intervention did not overtly address sleep, yet intervention employees slept 8 min/d more and reported greater sleep sufficiency. Interventions should address environmental and psychosocial causes of sleep deficiency, including workplace factors
Aim: To examine whether nursing homes’ quality of care was predicted by schedule control (workers’ ability to decide work hours), independently of other staffing characteristics. Method: Prospective ecological study of 30 nursing homes in New England. Schedule control was self-reported via survey in 2011-2012 (N = 1,045). Quality measures included the prevalence of decline in activities of daily living, residents’ weight loss, and pressure ulcers, indicators systematically linked with staffing characteristics. Outcomes data for 2012 were retrieved from Medicare.gov. Results: Robust Linear Regressions showed that higher schedule control predicted lower prevalence of pressure ulcers (β = −0.51, p < .05). This association was independent of staff mix, staffing ratios, job satisfaction, and turnover intentions. Conclusion: Higher schedule control might enhance the planning and delivery of strategies to prevent or cure pressure ulcers. Further research is needed to identify potential causal mechanisms by which schedule control could improve quality of care.
Marino M, Li Y, Rueschman M, Winkelman JW, Ellenbogen JM, Solet JM, Dulin H, Berkman LF, Buxton OM.
Objectives: We validated actigraphy for detecting sleep and wakefulness versus polysomnography (PSG).
Design: Actigraphy and polysomnography were simultaneously collected during sleep laboratory admissions. All studies involved 8.5 h time in bed, except for sleep restriction studies. Epochs (30-sec; n = 232,849) were characterized for sensitivity (actigraphy = sleep when PSG = sleep), specificity (actigraphy = wake when PSG = wake), and accuracy (total proportion correct); the amount of wakefulness after sleep onset (WASO) was also assessed. A generalized estimating equation (GEE) model included age, gender, insomnia diagnosis, and daytime/nighttime sleep timing factors.
Setting: Controlled sleep laboratory conditions.
Participants: Young and older adults, healthy or chronic primary insomniac (PI) patients, and daytime sleep of 23 night-workers (n = 77, age 35.0 ± 12.5, 30F, mean nights = 3.2).
Measurements and Results: Overall, sensitivity (0.965) and accuracy (0.863) were high, whereas specificity (0.329) was low; each was only slightly modified by gender, insomnia, day/night sleep timing (magnitude of change < 0.04). Increasing age slightly reduced specificity. Mean WASO/night was 49.1 min by PSG compared to 36.8 min/night by actigraphy (β = 0.81; CI = 0.42, 1.21), unbiased when WASO < 30 min/night, and overestimated when WASO > 30 min/night.
Conclusions: This validation quantifies strengths and weaknesses of actigraphy as a tool measuring sleep in clinical and population studies. Overall, the participant-specific accuracy is relatively high, and for most participants, above 80%. We validate this finding across multiple nights and a variety of adults across much of the young to midlife years, in both men and women, in those with and without insomnia, and in 77 participants. We conclude that actigraphy is overall a useful and valid means for estimating total sleep time and wakefulness after sleep onset in field and workplace studies, with some limitations in specificity.
Citation: Marino M; Li Y; Rueschman MN; Winkelman JW; Ellenbogen JM; Solet JM; Dulin H; Berkman LF; Buxton OM. Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography. SLEEP 2013;36(11):1747-1755.
BACKGROUND: Nursing homes are occupational settings, with an increasing minority and immigrant workforce where several psychosocial stressors intersect.
AIM: This study aimed to examine racial/ethnic differences in job strain between Black (n = 127) and White (n = 110) immigrant and American direct-care workers at nursing homes (total n = 237).
METHODS: Cross-sectional study with data collected at four nursing homes in Massachusetts during 2006-2007. We contrasted Black and White workers within higher-skilled occupations such as registered nurses or licensed practical nurses (n = 82) and lower-skilled staff such as certified nursing assistants (CNAs, n = 155).
RESULTS: Almost all Black workers (96%) were immigrants. After adjusting for demographic and occupational characteristics, Black employees were more likely to report job strain, compared with Whites [relative risk (RR): 2.9, 95% confidence interval (CI) 1.3 to 6.6]. Analyses stratified by occupation showed that Black CNAs were more likely to report job strain, compared with White CNAs (RR: 3.1, 95% CI: 1.0 to 9.4). Black workers were also more likely to report low control (RR: 2.1, 95% CI: 1.1 to 4.0). Additionally, Black workers earned $2.58 less per hour and worked 7.1 more hours per week on average, controlling for potential confounders.
CONCLUSION: Black immigrant workers were 2.9 times more likely to report job strain than White workers, with greater differences among CNAs. These findings may reflect differential organizational or individual characteristics but also interpersonal or institutional racial/ethnic discrimination. Further research should consider the role of race/ethnicity in shaping patterns of occupational stress.
OBJECTIVE: Supervisor-level policies and the presence of a manager engaged in an employee's need to achieve work-family balance, or "supervisory support," may benefit employee health, including self-reported pain.
METHODS: We conducted a census of employees at four selected extended care facilities in the Boston metropolitan region (n = 368). Supervisory support was assessed through interviews with managers and pain was reported by employees.
RESULTS: Our multilevel logistic models indicate that employees with managers who report the lowest levels of support for work-family balance experience twice as much overall pain as employees with managers who report high levels of support.
CONCLUSIONS: Low supervisory support for work-family balance is associated with an increased prevalence of employee-reported pain in extended care facilities. We recommend that manager-level policies and practices receive additional attention as a potential risk factor for poor health in this setting.
OBJECTIVES: We examined the relationship between smoking and work-family conflict among a sample of New England long-term-care facility workers.
METHODS: To collect data, we conducted in-person, structured interviews with workers in 4 extended-care facilities.
RESULTS: There was a strong association between smoking likelihood and work-family conflict. Workers who experienced both stress at home from work issues (i.e., work-to-home conflict) and stress at work from personal issues (i.e., home-to-work conflict) had 3.1 times higher odds of smoking than those who did not experience these types of conflict. Workers who experienced home-to-work conflict had an odds of 2.3 compared with those who did not experience this type of conflict, and workers who experienced work-to-home conflict had an odds of 1.6 compared with workers who did not experience this type of conflict.
CONCLUSIONS: The results of this study indicate that there is a robust relationship between work-family conflict and smoking, but that this relationship is dependent upon the total amount of conflict experienced and the direction of the conflict.
OBJECTIVES: We evaluated the association of household-level stressors with depressive symptoms among low-wage nursing home employees.
METHODS: Data were collected in 2006 and 2007 from 452 multiethnic primary and nonprimary wage earners in 4 facilities in Massachusetts. We used logistic regression to estimate the association of depressive symptoms with household financial strain, food insufficiency, and work-family spillover (preoccupation with work-related concerns while at home and vice versa).
RESULTS: Depressive symptoms were significantly associated with household financial strain (odds ratio [OR] = 1.82; 95% confidence interval [CI] = 1.03, 3.21) and food insufficiency (OR = 2.10; 95% CI = 1.10, 4.18). Among primary earners, stratified analyses showed that food insufficiency was associated with depressive symptoms (OR = 3.60; 95% CI = 1.42, 9.11) but financial strain was not. Among nonprimary wage earners, depressive symptoms correlated with financial strain (OR = 3.65; 95% CI = 1.48, 9.01) and work-family spillover (OR = 3.22; 95% CI = 1.11, 9.35).
CONCLUSIONS: Household financial strain, food insufficiency, and work-family spillover are pervasive problems for working populations, but associations vary by primary wage earner status. The prevalence of food insufficiency among full-time employees was striking and might have a detrimental influence on depressive symptoms and the health of working-class families.
STUDY OBJECTIVES: o advance our understanding of the interplay of socioeconomic factors, occupational exposures, and race/ethnicity as they relate to sleep duration. We hypothesize that non Hispanic African/Caribbean immigrant employees in long term health care have shorter sleep duration than non Hispanic white employees, and that low education, low income, and occupational exposures including night work and job strain account for some of the African/Caribbean immigrant-white difference in sleep duration.
DESIGN: Cross sectional
SETTING: Four extended care facilities in Massachusetts, United States
PARTICIPANTS: 340 employees in extended care facilities
MEASUREMENTS AND RESULTS: Sleep duration was assessed with wrist actigraphy for a mean of 6.3 days. In multivariable regression modeling controlling for gender and age, African/Caribbean immigrants slept 64.4 fewer minutes (95% CI: -81.0, -47.9) per night than white participants; additional control for education and income reduced the racial gap to 50.9 minutes (-69.2, -32.5); additional control for the occupational factors of hours worked per week and working the night shift reduced the racial gap to 37.7 minutes (-57.8, -17.6).
CONCLUSIONS: his study provides support for the hypothesis that socioeconomic and occupational characteristics explain some of the African/ Caribbean immigrant-white difference in sleep duration in the United States, especially among health care workers.
To examine the relation between having a child aged 18 years and under in the home and employee depressive symptoms, we analyzed cross-sectional data from four extended care facilities in Boston, MA (n = 376 employees). Results show that having a child is associated with slightly higher depressive symptoms. The strength of this relationship in our models is attenuated with the inclusion of social support at home (β = 1.08 and β = 0.85, with and without support, respectively) and may differ by gender. We recommend that future research examine the role of parenting and social support in predicting employee mental health.
OBJECTIVE: The purpose of this article was to integrate home demands with the demand-control-support model to test if home demands interact with job strain to increase depressive symptoms.
METHODS: Data were from 431 employees in four extended care facilities. Presence of a child younger than 18 years in the household signified home demands. The outcome was depressive symptoms based on a shortened version of the Center for Epidemiologic Studies Depression Scale.
RESULTS: The association between job strain and depressive symptoms was moderated by social support (SS) and presence of a child in the household (child). There was no association among participants with high SS and no child, but a positive one among participants with low SS and a child.
CONCLUSIONS: Job strain may be a particularly important determinant of depressive symptoms among employees with family demands. Models of job strain should expand to incorporate family demands.