Publications by Author: Klein, Laura C

AbstractObjectives To evaluate the effects of a workplace-based intervention on actigraphic and self-reported sleep outcomes in an extended-care setting. Design Cluster randomized trial. Setting Extended-care (nursing) facilities. Participants \US\ employees and managers at nursing homes. Nursing homes were randomly selected to intervention or control settings. Intervention The Work, Family, and Health Study developed an intervention aimed at reducing work-family conflict within a 4-month work-family organizational change process. Employees participated in interactive sessions with facilitated discussions, role-playing, and games designed to increase control over work processes and work time. Managers completed training in family-supportive supervision. Measurements Primary actigraphic outcomes included total sleep duration, wake after sleep onset, nighttime sleep, variation in nighttime sleep, nap duration, and number of naps. Secondary survey outcomes included work-to-family conflict, sleep insufficiency, insomnia symptoms, and sleep quality. Measures were obtained at baseline, 6 months, and 12 months postintervention. Results A total of 1522 employees and 184 managers provided survey data at baseline. Managers and employees in the intervention arm showed no significant difference in sleep outcomes over time compared with control participants. Sleep outcomes were not moderated by work-to-family conflict or presence of children in the household for managers or employees. Age significantly moderated an intervention effect on nighttime sleep among employees (P = .040), where younger employees benefited more from the intervention. Conclusion In the context of an extended-care nursing home workplace, the intervention did not significantly alter sleep outcomes in either managers or employees. Moderating effects of age were identified where younger employees' sleep outcomes benefited more from the intervention.

Background Observational studies have linked work–family issues with cigarette consumption. This study examined the 6-month effects on cigarette consumption of a work–family supportive organisational intervention among nursing home workers.Methods Group randomised controlled trial where 30 nursing homes across New England states were randomly assigned to either usual practice or to a 4-month intervention aimed at reducing work–family conflict via increased schedule control and family supportive supervisory behaviours (FSSB). Cigarette consumption was based on self-reported number of cigarettes per week, measured at the individual level.Results A total of 1524 direct-care workers were enrolled in the trial. Cigarette consumption was prevalent in 30% of the sample, consuming an average of 77 cigarettes/week. Smokers at intervention sites reduced cigarette consumption by 7.12 cigarettes, while no reduction was observed among smokers at usual practice sites (b=−7.12, 95% CI −13.83 to −0.40, p<0.05) (d=−0.15). The majority of smokers were US-born White nursing assistants, and among this subgroup, the reduction in cigarette consumption was stronger (b=−12.77, 95% CI −22.31 to −3.22, p<0.05) (d=−0.27). Although the intervention prevented a decline in FSSB (d=0.08), effects on cigarette consumption were not mediated by FSSB.Conclusions Cigarette consumption was reduced among smokers at organisations where a work–family supportive intervention was implemented. This effect, however, was not explained by specific targets of the intervention, but other psychosocial pathways related to the work–family interface.Trial registration number NCT02050204; results.

We investigated associations of work–family conflict and work and family conditions with objectively measured cardiometabolic risk and sleep. Multilevel analyses assessed cross-sectional associations between employee and job characteristics and health in analyses of 1,524 employees in 30 extended-care facilities in a single company. We examined work and family conditions in relation to: (a) validated, cardiometabolic risk score based on measured blood pressure, cholesterol, glycosylated hemoglobin, body mass index, and self-reported tobacco consumption and (b) wrist actigraphy–based sleep duration. In fully adjusted multilevel models, work-to-family conflict but not family-to-work conflict was positively associated with cardiometabolic risk. Having a lower level occupation (nursing assistant vs. nurse) was associated with increased cardiometabolic risk, whereas being married and having younger children at home was protective. A significant Age × Work-to-Family Conflict interaction revealed that higher work-to-family conflict was more strongly associated with increased cardiometabolic risk in younger employees. High family-to-work conflict was significantly associated with shorter sleep duration. Working long hours and having children at home were both independently associated with shorter sleep duration. High work-to-family conflict was associated with longer sleep duration. These results indicate that different dimensions of work–family conflict may pose threats to cardiometabolic health and sleep duration for employees. This study contributes to the research on work–family conflict, suggesting that work-to-family and family-to-work conflict are associated with specific health outcomes. Translating theory and findings to preventive interventions entails recognition of the dimensionality of work and family dynamics and the need to target specific work and family conditions.

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

Cortisol is a biomarker of stress reactivity, and its diurnal pattern is an indicator of general neuroendocrine health. Despite theories conceptualizing marital dyads as dynamic systems wherein spouses are interdependent in their physiology and stress coping, little is known about the daily processes in which spouses possibly influence each other in biological stress. Nineteen heterosexual couples provided saliva samples containing cortisol 4 times a day for 4 consecutive days. We used multilevel modeling to examine whether one’s cortisol awaking response (CAR) and diurnal cortisol slope (DCS) predict those of the spouse’s on the same day and/or on the next day. We found that spouses synchronize their DCS, such that on days when one experiences faster or slower decline in diurnal cortisol than usual, the spouse also experiences faster or slower decline than usual. For CAR, positive synchrony was only observed in couples reporting high levels of marital strain and disagreement. Cross-lagged regression analysis reveals stability in diurnal cortisol pattern. A steeper cortisol slope on a particular day predicts a steeper slope on the next day within an individual, but no significant cross-lagged relation was found between spouses. Couples reporting more spousal support tend to have stronger stability in CAR. These findings provide evidence that spouses are interdependent in their diurnal cortisol patterns on a day-to-day basis, and that these daily dynamics are associated with marital relationship quality. The study contributes to our understanding of marital processes and biobehavioral health. It also contributes methodologically to the advancement of longitudinal dyadic analysis. (PsycINFO Database Record (c) 2013 APA, all rights reserved)

PURPOSE: This study examined links between diurnal patterns of the stress hormone cortisol and time spent by adolescents in nine common daily activities. METHODS: During eight consecutive nightly telephone interviews, 28 youths (n = 12 girls), 10-18 years of age, reported their daily activities. On 4 days, four saliva samples were also collected and assayed for cortisol. Multilevel models assessed within- and between-person associations between time in each activity and cortisol area under the curve (AUC), cortisol awakening response (CAR), morning peak (30 minutes after wake up), and daily decline (morning peak to bedtime). RESULTS: Links with AUC were found for most activities; significant associations with cortisol rhythms suggested that most effects were due to anticipation of the day's activities. Specifically, on days when youths spent more time than usual on video games and television, they had lower AUCs, with lower morning peaks. Youths who spent more time reading (within-person) and in computer-related activities (between-person) had higher AUCs, with stronger CARs (within-person). Youths who slept more had lower AUCs, with lower morning peaks on both the between- and within-person levels. Amounts of time spent in clubs, and for older adolescents in sports, were also linked to lower AUCs. Finally, youths who spent more time in school/schoolwork had lower average AUCs, but on days when youths spent more time than usual in school, they had higher AUCs, stronger CARs, and steeper daily declines. CONCLUSION: Beyond their known implications for psychological adjustment, youths' everyday activities are linked to stress physiology.