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• W4366453400 abstract "Introduction Sleep quality is an important health index in the elderly. As age increases, changes occur in sleep quality leading to sleep disorders and recurrent complaints. Sleep quality management of the elderly requires identification of its determinants. The present study aimed to determine the mediating roles of stress, anxiety, and depression in the relationship between constipation and sleep quality among the elderly using structural equation modeling (SEM). Materials and Methods A correlational design was used in the present study through structural equation modeling. In this work, 363 elderlies were examined by multi-stage random sampling. Data collection tools included four questionnaires, namely a demographic information questionnaire, the constipation questionnaire (ROME III), the Depression, Anxiety, and Stress Scale-short form, and the Pittsburgh Sleep Quality Index (PSQI), which were completed by interview and the self-report method. The SPSS Statistics for Windows, version 22.0, and SPSS AMOS (IBM Corp., Armonk, NY, USA) were used to analyze the data. Results The results indicated that the proposed model had an acceptable fit ( p < 0.000, root mean square error of approximation [RMSEA] = 0.062, comparative fit index [CFI] = 0.83, goodness-of-fit index [GFI] = 0.87, and Χ 2 /df = 1.94). The fitted model could explain 60% of the sleep quality variance. According to the proposed model, constipation could significantly predict sleep quality due to the mediation of stress, anxiety, and depression ( p < 0.05). Conclusion The constructs of this model (constipation, stress, anxiety, and depression) can be used as a reference framework to design effective interventions and improve sleep quality in old people." @default.
• W4366453400 created "2023-04-22" @default.
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• W4366453400 date "2023-03-01" @default.
• W4366453400 modified "2023-09-30" @default.
• W4366453400 title "Mediating Roles of Stress, Anxiety, and Depression in the Relationship between Constipation and Sleep Quality among the Elderly: Structural Equation Modeling (SEM)" @default.
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• W4366453400 doi "https://doi.org/10.1055/s-0043-1767750" @default.
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