Objectives: Sleep disorders are among the most prevalent issues impacting the quality of life for the elderly. Sleep hygiene training, aimed at modifying beliefs and habits related to sleep, is a non-pharmacological method for treating these disorders. This study aimed to determine the effect of sleep health education, delivered via a mobile application, on the sleep quality of elderly individuals covered by the national pension fund in Rasht City in 2022.
Methods and Materials: This semi-experimental study was conducted in two phases. Initially, 330 elderly individuals were included, and their sleep quality was assessed using a designated tool. Subsequently, 96 individuals with low sleep quality were randomly divided into two groups of 48: an intervention group and a control group. The data collection tool comprised a two-part questionnaire, including personal-social information and the Pittsburgh Sleep Quality Index (PSQI). The intervention group received training on using the mobile-based sleep health educational application during two face-to-face sessions and was instructed to implement its programs daily for four weeks.
Results: The results of the study indicated that the average age of the elderly participants was 68.98 ± 6.52 years, with the majority being female (60.1%), married (83.3%), living in urban areas (91.5%), and having a university education (52%). The mean sleep quality score for the elderly was 5.37 ± 3.88, which was influenced by factors such as gender, education level, marital status, living arrangements, underlying health conditions, and employment status (P ≤ 0.05). Among the various aspects of sleep quality, "sleep onset delay" and "use of sleep medications" were identified as having the most and least problems, respectively. MANCOVA analysis indicated that sleep hygiene education significantly improved sleep quality across all areas, except for sleep efficiency (P≥0.05).
Conclusion: Sleep health education utilizing accessible and practical methods enhances the sleep quality of the elderly. Given the high prevalence of sleep disorders and their associated complications in this demographic, this model is recommended as a non-pharmacological treatment for managing sleep disorders, targeting healthcare workers, the elderly, and their caregivers.
Type of Study:
Research |
Subject:
nursing Received: 2024/08/25 | Accepted: 2024/10/20