The Effects of Non-pharmacological Interventions on Sleep Quality in Patients With Type ۲ Diabetes: A Systematic Review and Meta-analysis
Publish place: Archives of Hygiene Sciences، Vol: 10، Issue: 3
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 148
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_AHS-10-3_001
تاریخ نمایه سازی: 17 آبان 1400
Abstract:
Background & Aims of the Study: Sleep disorders are highly prevalent in individuals with
diabetes. Iranian researchers have used various interventions to improve sleep quality in diabetic
patients. This meta-analysis study was performed to determine the effects of the interventions
performed on improving sleep quality among diabetic patients.
Materials and Methods: Several databases, including PubMed, Cochrane Library, Scopus,
Science Direct, Medline EMBASE, as well as Persian databases (SID & IranMedex) were
searched until ۲۳ September ۲۰۲۰. The applied keywords were “sleep, sleep quality, diabetes,
and diabetes mellitus”. Meta-analysis was performed in Comprehensive Meta-Analysis software.
Results: A total of ۸ published articles were entered in this meta-analysis. The obtained results
suggested a significant heterogeneity between all articles included in this meta-analysis (I۲=۷۴.۰۹,
Q=۲۷.۰۱۶, P=۰.۰۰۰۱). The STD Mean for the Pittsburgh Sleep Quality Index (PSQI) score in
diabetic patients after the intervention in the case group was ۰.۸۴ higher than that in the control
group. Researchers found no publication bias in this study. The STD Mean for the PSQI score in
diabetic patients before and after the intervention in the case group was equal to ۰.۶۴.
Conclusion: All interventions were performed to improve sleep quality in diabetic patients who
were eligible for this meta-analysis, and significantly improved sleep quality in them
Keywords:
Authors
مهدیه ممیزی
Departments of Biostatistics and Epidemiology, Center for Healthcare Data Modeling, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
حسین فلاح زاده
Departments of Biostatistics and Epidemiology, Center for Healthcare Data Modeling, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :