Sleep Quality: An Evolutionary Concept Analysis
Document Type
Article
Abstract
AIM: To clarify the meaning of the concept sleep quality.
BACKGROUND: Sleep loss and sleep quality are global health concerns. Poor sleep quality has significant adverse health outcomes. A clarification of the term is necessary to inform patients and healthcare providers, promote consistent theoretical and operational definitions in research, and develop prevention and treatment strategies.
DESIGN: Concept analysis.
DATA SOURCES: Scientific literature from electronic databases (CINAHL, PsycINFO, PubMED, Web of Science, and JSTOR) and definitions from online dictionaries.
REVIEW METHODS: Rodgers' Evolutionary method was applied to guide the concept analysis to identify and determine the attributes, antecedents, and consequences.
RESULTS: Sleep quality is defined as an individual's self-satisfaction with all aspects of the sleep experience. Sleep quality has four attributes: sleep efficiency, sleep latency, sleep duration, and wake after sleep onset. Antecedents include physiological (e.g., age, circadian rhythm, body mass index, NREM, REM), psychological (e.g., stress, anxiety, depression), and environmental factors (e.g., room temperature, television/device use), and family/social commitments. Good sleep quality has positive effects such as feeling rested, normal reflexes, and positive relationships. Poor sleep quality consequences include fatigue, irritability, daytime dysfunction, slowed responses, and increased caffeine/alcohol intake.
CONCLUSIONS: Sleep quality is essential, and poor sleep quality contributes to disease and poor health outcomes. Given the extensive consequences of poor sleep quality, nurses and clinicians are vital in instructing the importance of good sleep.
Digital Object Identifier (DOI)
Publication Info
Published in Nursing Forum, Volume 57, Issue 1, 2022, pages 1-214.
APA Citation
Nelson, K. L., Davis, J. E., & Corbett, C. F. (2021). Sleep Quality: An Evolutionary Concept Analysis. Nursing Forum, 57(1), 144–151. https://doi.org/10.1111/nuf.12659
Rights
© 1999-2024 John Wiley & Sons, Inc or related companies. All rights reserved, including rights for text and data mining and training of artificial intelligence technologies or similar technologies.