Do different factors predict the adoption and maintenance of healthy sleep behaviors? A reasoned action approach. Issue 1 (2nd December 2018)

• Record Type: Journal Article
• Authors: Branscum, Paul; Fay, Katie Qualls; Senkowski, Valerie
• Is Part Of: Translational behavioral medicine. Volume 10:Issue 1(2020)
• Page Start: 78
• Page End: 86
• Publication Date: 2018-12-02
• Subjects: Reasoned action approach -- Theory of planned behavior -- Sleep -- College health; Medicine and psychology -- Periodicals; 616.0019
• DOI: 10.1093/tbm/iby111
• Languages: English
• ISSNs: 1869-6716

Abstract

Abstract : Public health workers should design different types of programs for young adults to either adopt or maintain healthy sleep behaviors. Abstract: Sleep deprivation is a serious public health concern in the United States that often goes unnoticed, particularly among college students and young adults. Concerted efforts are needed to help those who are not engaging in healthy sleep behaviors, while also helping those who are already maintaining healthy sleep behaviors. The purpose of the study was to evaluate theory-based determinants of intentions toward healthy sleep behaviors among students currently not sleeping 7–9 hr per night, oriented toward initiating the behavior (to start sleeping 7–9 hr per night in the next 30 days; behavioral adoption ), and students currently sleeping 7–9 hr per night, oriented toward maintaining the behavior (sleeping 7–9 hr per night for the next 6 months; behavioral maintenance ). The theoretical framework for this study was the reasoned action approach (RAA). A valid and reliable survey was distributed online to university students (adopters = 310, maintainers = 300). Regression analyses revealed which latent constructs predicted variance of intentions, using a three-construct and a six-construct model. For the adoption group, attitudes, perceived norms, and perceived behavioral control (PBC) accounted for 29.3% of the variance of intentions, and perceived norms and PBC accounted for 32.6% of the variance of intentions for the maintenance group. Furthermore, PBC, stemming from capacity (self-efficacy), was found to have the strongest influence on intentions for both groups. Results from this study support the use of the RAA as a model for designing future sleep interventions. Implications and recommendations for future research and practice are presented.