Prevalence of Restless Legs Syndrome and its related Factors among Older Adults in Eslamabad-e-Gharb, Iran
محل انتشار: مجله سلامت سالمندان، دوره: 8، شماره: 2
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 124
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شناسه ملی سند علمی:
JR_EHJ-8-2_004
تاریخ نمایه سازی: 20 دی 1401
چکیده مقاله:
Introduction: Restless legs syndrome (RLS) is a neurological sensory-motor disorder that is observed as an unpleasant sensation in the legs, especially when sitting or lying down and at rest. This study aimed to determine the prevalence RLS and its related factors among older adults in Eslamabad-e-Gharb, Kermanshah province, Iran in ۲۰۲۱.
Methods: Totally, ۲۴۰ elderlies entered the study using two stages random sampling. The instruments used in the study included the International RLS Questionnaire, Pittsburgh Sleep Quality Index, Mind Wandering Questionnaire, Epworth Sleepiness Scale and Pain Self-efficacy Questionnaire.
Results: Symptoms of RLS were mild in ۶۸.۳% of the participants and severe in ۱۴.۲% of them. There was a statistically significant relationship between RLS and sleep quality (p = ۰.۰۰۱) and daily drowsiness (p = ۰.۰۳۴). The chance of developing RLS in the group with poor sleep quality was ۲۲% higher than the group with good sleep quality (OR = ۱.۲۲). Also, people with drowsiness were ۱۳% more likely to develop RLS than others (OR = ۱.۱۳۱), and in the age group of ۷۱-۸۰ years and over ۸۰ years, ۶% and ۲% higher than the ۶۰-۷۰ years respectively (OR = ۱.۰۶۸ and ۱.۰۲۳). No statistically significant relationship was found between RLS with mind wandering and pain self-efficacy.
Conclusion: Due to the high prevalence of RLS and its relationship with sleep quality and daily drowsiness among older adults, implementation of RLS screening to identify patients to prevent sleep disorders seems necessary. The relation of RLS with mind wandering and pain self-efficacy need further studies.
کلیدواژه ها:
نویسندگان
Mohammadali Morowatisharifabad
Department of Aging Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Sahar Bijari
Department of Aging Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Farzan Madadizadeh
Center for Healthcare Data Modeling, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Reza Bidaki
Research Center of Addiction and Behavioral Sciences, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Alireza Beigomi
SABA Healthy Aging Institute, Yazd, Iran
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