ArticleThe Gerontologist2019
Tonight's Sleep Predicts Tomorrow's Fatigue: A Daily Diary Study of Long-Term Care Employees With Nonwork Caregiving Roles.
Article in The Gerontologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- Daily stressors, positive events, and daily fatigue among dementia family caregivers.Aging & mental health · 2025Article
- Associations of employment status, working time and job satisfaction with sleep duration and sleep quality among the 50+ population in Japan.Industrial health · 2025Article
- Double-duty caregivers enduring COVID-19 pandemic to endemic: "It's just wearing me down".PloS one · 2024Article
- Association between prior-night sleep and next-day fatigue in older adults: a daily diary study.BMC geriatrics · 2023Article
- Tiredness Takes Its Toll: An Integrative Review on Sleep and Occupational Outcomes for Long-Term Care Workers.Journal of gerontological nursing · 2023Review
- The relationship between repetitive negative thinking, sleep disturbance, and subjective fatigue in women with Generalized Anxiety Disorder.The British journal of clinical psychology · 2022Article
- "It's Been a Hard Day's Night": Sleep Problems in Caregivers for Older Adults.Current sleep medicine reports · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
objectivesLong-term care employees and employees with nonwork caregiving roles are at high risk for sleep problems and fatigue. Little is known, however, about relationships between sleep and fatigue among long-term care employees who occupy nonwork caregiving roles. This study examined whether longer sleep duration and better sleep quality reduce fatigue occurrence and severity within and between long-term care employees with nonwork caregiving roles, and investigated nonwork caregiving role occupancy as a moderator of these relationships. RESEARCH DESIGN AND
methodsThe sample comprised 166 women working in U.S.-based nursing homes. All women had children aged 9-17 years and some also had nonwork caregiving responsibilities for adult relatives. Sleep (duration and quality) and fatigue (occurrence and severity) were assessed via telephone interviews for eight consecutive evenings. Multilevel modeling was used to examine within-person and between-person associations.
resultsAt the within-person level, nights characterized by longer-than-usual sleep duration or better-than-usual sleep quality were followed by days with lower odds of reporting fatigue; these same sleep characteristics predicted less severe next-day fatigue. At the between-person level, employees with better average sleep quality, but not longer sleep duration, had lower odds of experiencing fatigue. Relationships between sleep and fatigue were generally similar regardless of nonwork caregiving responsibilities for children or for both children and adults. DISCUSSION AND IMPLICATIONS: Findings suggest that tonight's sleep predicts tomorrow's fatigue. Given the serious and wide-ranging consequences of fatigue, sleep constitutes a worthwhile intervention target with potential benefits for employees, care recipients, and organizations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.