Prevalence and Determinants of Restless Legs Syndrome (Willis-Ekbom Disease) in an Older Greek Population.

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Title: Prevalence and Determinants of Restless Legs Syndrome (Willis-Ekbom Disease) in an Older Greek Population.
Authors: Liampas, Ioannis (AUTHOR), Siokas, Vasileios (AUTHOR), Kyrozis, Andreas (AUTHOR), Sakoutis, George (AUTHOR), Yannakoulia, Mary (AUTHOR), Kosmidis, Mary H. (AUTHOR), Sakka, Paraskevi (AUTHOR), Sakkas, Giorgos K. (AUTHOR), Giannaki, Christoforos D. (AUTHOR), Stefanidis, Ioannis (AUTHOR), Scarmeas, Nikolaos (AUTHOR), Dardiotis, Efthimios (AUTHOR), Hadjigeorgiou, Georgios M. (AUTHOR)
Source: Behavioral Sleep Medicine. Jul/Aug2023, Vol. 21 Issue 4, p411-423. 13p. 4 Charts, 1 Graph.
Subjects: Restless legs syndrome, Sleep quality, Brain injuries, Females, Physical activity, Logistic regression analysis
Abstract: The present study aimed to explore the descriptive and analytic epidemiology of restless legs syndrome (RLS) in the older Greek population, with a specific focus on lifestyle indicators. Baseline data from the randomly selected non-demented older participants of the population-based HELIAD cohort were analyzed. Multivariable binary logistic regression with RLS diagnosis as the dichotomous dependent outcome was performed. Demographic, socioeconomic, anthropometric, dietary, sleep-related and psychological parameters, physical activity, use of psychoactive substances and personal medical history were investigated for potential associations. A total of 133 from the eligible sample of 1,838 participants were diagnosed with RLS. The mean age-sex standardized prevalence of RLS among the elderly was estimated at 6.1% (95%CI = 5.0–7.2), with a female (8.0%, 95%CI = 6.4–9.6) to male (3.7%, 95%CI = 2.4–5.1) ratio of 2.1. The prevalence of RLS peaked during the 8th decade of life and diminished thereafter. The positive associations of RLS with female sex [OR = 2.06, 95%CI = (1.19–3.57)], anxiety levels [assessed by the 22-point HADS scale, OR = 1.08, 95%CI = (1.03–1.13)] and traumatic brain injury [OR = 2.22, 95%CI = (1.37–3.62)] were reproduced. Good sleep quality was related to 55% [95%CI~(24–83%)] lower odds of having RLS in comparison with both poor and moderate quality. Adherence to the Mediterranean dietary pattern [assessed by a 55-point scale, OR = 1.06, 95%CI = (1.01–1.11)], and low daily energy intake [low-moderate vs. low: OR = 0.45, 95%CI = (0.26–0.79)]; [moderate-high vs. low: OR = 0.69, 95%CI = (0.40–1.22)]; [high vs. low: OR = 0.31, 95%CI = (0.13–0.69)] were related to RLS for the first time. More emphasis should be placed on the dietary-nutritional aspects of RLS. [ABSTRACT FROM AUTHOR]
Copyright of Behavioral Sleep Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
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  Data: Prevalence and Determinants of Restless Legs Syndrome (Willis-Ekbom Disease) in an Older Greek Population.
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  Data: <searchLink fieldCode="AR" term="%22Liampas%2C+Ioannis%22">Liampas, Ioannis</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Siokas%2C+Vasileios%22">Siokas, Vasileios</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kyrozis%2C+Andreas%22">Kyrozis, Andreas</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sakoutis%2C+George%22">Sakoutis, George</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yannakoulia%2C+Mary%22">Yannakoulia, Mary</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kosmidis%2C+Mary+H%2E%22">Kosmidis, Mary H.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sakka%2C+Paraskevi%22">Sakka, Paraskevi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sakkas%2C+Giorgos+K%2E%22">Sakkas, Giorgos K.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Giannaki%2C+Christoforos+D%2E%22">Giannaki, Christoforos D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stefanidis%2C+Ioannis%22">Stefanidis, Ioannis</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Scarmeas%2C+Nikolaos%22">Scarmeas, Nikolaos</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dardiotis%2C+Efthimios%22">Dardiotis, Efthimios</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hadjigeorgiou%2C+Georgios+M%2E%22">Hadjigeorgiou, Georgios M.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Behavioral+Sleep+Medicine%22">Behavioral Sleep Medicine</searchLink>. Jul/Aug2023, Vol. 21 Issue 4, p411-423. 13p. 4 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Restless+legs+syndrome%22">Restless legs syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+quality%22">Sleep quality</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+injuries%22">Brain injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Females%22">Females</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+activity%22">Physical activity</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The present study aimed to explore the descriptive and analytic epidemiology of restless legs syndrome (RLS) in the older Greek population, with a specific focus on lifestyle indicators. Baseline data from the randomly selected non-demented older participants of the population-based HELIAD cohort were analyzed. Multivariable binary logistic regression with RLS diagnosis as the dichotomous dependent outcome was performed. Demographic, socioeconomic, anthropometric, dietary, sleep-related and psychological parameters, physical activity, use of psychoactive substances and personal medical history were investigated for potential associations. A total of 133 from the eligible sample of 1,838 participants were diagnosed with RLS. The mean age-sex standardized prevalence of RLS among the elderly was estimated at 6.1% (95%CI = 5.0–7.2), with a female (8.0%, 95%CI = 6.4–9.6) to male (3.7%, 95%CI = 2.4–5.1) ratio of 2.1. The prevalence of RLS peaked during the 8th decade of life and diminished thereafter. The positive associations of RLS with female sex [OR = 2.06, 95%CI = (1.19–3.57)], anxiety levels [assessed by the 22-point HADS scale, OR = 1.08, 95%CI = (1.03–1.13)] and traumatic brain injury [OR = 2.22, 95%CI = (1.37–3.62)] were reproduced. Good sleep quality was related to 55% [95%CI~(24–83%)] lower odds of having RLS in comparison with both poor and moderate quality. Adherence to the Mediterranean dietary pattern [assessed by a 55-point scale, OR = 1.06, 95%CI = (1.01–1.11)], and low daily energy intake [low-moderate vs. low: OR = 0.45, 95%CI = (0.26–0.79)]; [moderate-high vs. low: OR = 0.69, 95%CI = (0.40–1.22)]; [high vs. low: OR = 0.31, 95%CI = (0.13–0.69)] were related to RLS for the first time. More emphasis should be placed on the dietary-nutritional aspects of RLS. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Behavioral Sleep Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/15402002.2022.2112194
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        Text: English
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        PageCount: 13
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      – SubjectFull: Restless legs syndrome
        Type: general
      – SubjectFull: Sleep quality
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      – SubjectFull: Brain injuries
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      – SubjectFull: Females
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      – SubjectFull: Logistic regression analysis
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              Text: Jul/Aug2023
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