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In this study we examine whether and why daily work stressors are associated with sleep quality and sleep quantity. We draw on the effort-recovery model to test daily relationships between challenge and hindrance work stressors and sleep quality and quantity through physical and psychological fatigue, and vigor. We analyze daily diary data from 98 working sole mothers collected over seven days. The within-person daily hypotheses linking challenge and hindrance stressors to sleep via energetic mediators in our model were not supported. Exploratory analysis revealed several of our hypotheses were supported at the between-person level. Challenge and hindrance stressors were differentially related to psychological fatigue and physical fatigue such that hindrance stressors were positively associated, and challenge stressors were negatively associated. Challenge and hindrance stressors were differentially related to vigor such that hindrance stressors were negatively associated, and challenge stressors were positively associated. Across individuals, challenge and hindrance stressors were indirectly related to sleep quantity through these energetic mediators. This study answers calls for more investigations into mechanisms linking work stressors and sleep, and emphasizes the importance of examining phenomena at multiple levels of analysis. Theoretical and practical implications for the challenge-hindrance framework and effort-recovery model, including the appropriate timeframe for study, are discussed.
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BFF: Bayesian, Fiducial, Frequentist Analysis of Age Effects in Daily Diary Data
Abstract ObjectivesWe apply new statistical models to daily diary data to advance both methodological and conceptual goals. We examine age effects in within-person slopes in daily diary data and introduce Generalized Fiducial Inference (GFI), which provides a compromise between frequentist and Bayesian inference. We use daily stressor exposure data across six domains to generate within-person emotional reactivity slopes with daily negative affect. We test for systematic age differences and similarities in these reactivity slopes, which are inconsistent in previous research. MethodOne hundred and eleven older (aged 60–90) and 108 younger (aged 18–36) adults responded to daily stressor and negative affect questions each day for eight consecutive days, resulting in 1,438 total days. Daily stressor domains included arguments, avoided arguments, work/volunteer stressors, home stressors, network stressors, and health-related stressors. ResultsUsing Bayesian, GFI, and frequentist paradigms, we compared results for the six stressor domains with a focus on interpreting age effects in within-person reactivity. Multilevel models suggested null age effects in emotional reactivity across each of the paradigms within the domains of avoided arguments, work/volunteer stressors, home stressors, and health-related stressors. However, the models diverged with respect to null age effects in emotional reactivity to arguments and network stressors. DiscussionThe three paradigms converged on null age effects in reactivity for four of the six stressor domains. GFI is a useful tool that provides additional information when making determinations regarding null age effects in within-person slopes. We provide the code for readers to apply these models to their own data.
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- PAR ID:
- 10122095
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- The Journals of Gerontology: Series B
- ISSN:
- 1079-5014
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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