Associations between poor sleep quality and stages of change of multiple health behaviors among participants of Employee Wellness Program
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OBJECTIVE: Using the Transtheoretical Model of behavioral change, this study evaluates the relationship between sleep quality and the motivation and maintenance processes of healthy behavior change. METHODS: The current study is an analysis of data collected in 2008 from an online health risk assessment (HRA) survey completed by participants of the Kansas State employee wellness program (N=13,322). Using multinomial logistic regression, associations between self-reported sleep quality and stages of change (i.e. precontemplation, contemplation, preparation, action, maintenance) in five health behaviors (stress management, weight management, physical activities, alcohol use, and smoking) were analyzed. RESULTS: Adjusted for covariates, poor sleep quality was associated with an increased likelihood of contemplation, preparation, and in some cases action stage when engaging in the health behavior change process, but generally a lower likelihood of maintenance of the healthy behavior. CONCLUSIONS: The present study demonstrated that poor sleep quality was associated with an elevated likelihood of contemplating or initiating behavior change, but a decreased likelihood of maintaining healthy behavior change. It is important to include sleep improvement as one of the lifestyle management interventions offered in EWP to comprehensively reduce health risks and promote the health of a large employee population.
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Poor sleep may motivate employees to make healthy changes as part of a workplace wellness program.
“Additional analyses from this dataset also showed that poor sleep may motivate employees to make healthy changes as part of a workplace wellness program, but it may also limit those employees’ ability to maintain healthy change.183”
From Sleep, Health, and Society (2017) · cites this paper as [183]
Health care costs associated with difficulty sleeping increase over time if sleep becomes worse.
“Those with difficulty sleeping “often” or “always” were associated with additional health care costs of $3600 to $5200 per person per year more than those who “never” have sleep problems, and these costs increased over time if sleep became worse.”
From Sleep, Health, and Society (2017) · cites this paper as [183]
Difficulty sleeping is associated with increased health care costs.
“In addition, difficulty sleeping is associated with increased health care costs.”
From Sleep, Health, and Society (2017) · cites this paper as [183]
People who have difficulty sleeping often or always have additional health care costs of $3600 to $5200 per person per year more than those who never have sleep problems.
“Those with difficulty sleeping “often” or “always” were associated with additional health care costs of $3600 to $5200 per person per year more than those who “never” have sleep problems, and these costs increased over time if sleep became worse.”
From Sleep, Health, and Society (2017) · cites this paper as [183]
Poor sleep may limit employees' ability to maintain healthy change.
“Additional analyses from this dataset also showed that poor sleep may motivate employees to make healthy changes as part of a workplace wellness program, but it may also limit those employees’ ability to maintain healthy change.183”
From Sleep, Health, and Society (2017) · cites this paper as [183]
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Ramadhani, A. F., Sadmita, S., & Ahsaniyah, A. B. (2020) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1529/3/032027 · Cited by 1 · see citing works
Psychosocial dimensions of sleep health
Szklo‐Coxe, M., Leser, K. A., & Lubas, M. M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-815501-1.00007-7 · Cited by 1 · see citing works
Sakarya İlinde Yapılan Toplum Sağlığı Taramalarında Beslenme Alışkanlığının İncelenmesi
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Zerin, F., Hegazy, H., Akter, N., Banu, B., Bithi, S. J., & Kanta, F. A. (2025) · International Journal of Research in Medical Sciences · doi:10.18203/2320-6012.ijrms20251669
Health Risk Management Using Persuasive Technology: A Scoping Review
Abhadiomhen, S. E., Nzeakor, E. O., & Oyibo, K. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-94959-3_15
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- Authors
- Hui, S.-K. A., & Grandner, M. A.
- Affiliations
- Fox Chase Cancer Center (US)
- University of Pennsylvania (US)
- Corresponding author
- Hui, Siu-kuen Azor
- Venue
- Preventive Medicine Reports
- Publisher
- Elsevier BV
- Published
- 2015
- Volume
- 2
- Pages
- 292-299
- ISSN
- 2211-3355 (ISSN-L)
- PMC
- PMC4450439
- OpenAlex
- W1981482983
- Cited by
- 30
- References
- 82
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 3 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 3 · 2017: 3 · 2016: 2
- FWCI
- 4.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Preventive Medicine Reports (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Cancer Institute (R03CA159903)
- National Heart, Lung and Blood Institute (K23HL110216)
- National Institute of Environmental Health Sciences (R21ES022931)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
- Keywords
- sleep quality, stages of change, transtheoretical model, health behavior change, employee wellness programs, stress management, weight management, physical activity, alcohol consumption, smoking, health risk assessment, workplace health promotion
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