András Szentkirályi1, Henry Völzke2, Wolfgang Hoffmann2, Claudia Trenkwalder2, Klaus Berger2. 1. From the Institute of Epidemiology and Social Medicine (A.S., K.B.), University of Münster, Germany; Institute of Behavioural Sciences (A.S.), Semmelweis University, Budapest, Hungary; Institute for Community Medicine (H.V., W.H.), University Medicine Greifswald; German Centre for Cardiovascular Research (H.V.), Partner site Greifswald; German Centre for Neurodegenerative Diseases (DZNE) (W.H.); Paracelsus-Elena Hospital (C.T.), Kassel; and Department of Neurosurgery (C.T.), University Medicine, Göttingen, Germany. Andras.Szentkiralyi@ukmuenster.de. 2. From the Institute of Epidemiology and Social Medicine (A.S., K.B.), University of Münster, Germany; Institute of Behavioural Sciences (A.S.), Semmelweis University, Budapest, Hungary; Institute for Community Medicine (H.V., W.H.), University Medicine Greifswald; German Centre for Cardiovascular Research (H.V.), Partner site Greifswald; German Centre for Neurodegenerative Diseases (DZNE) (W.H.); Paracelsus-Elena Hospital (C.T.), Kassel; and Department of Neurosurgery (C.T.), University Medicine, Göttingen, Germany.
Abstract
OBJECTIVE: Our aim was to evaluate the association between the cumulative effect of comorbidity and the risk of restless legs syndrome (RLS) in 2 population-based German cohort studies. METHODS: The Dortmund Health Study (DHS) (n = 1,312; median follow-up time: 2.1 years) and the Study of Health in Pomerania (SHIP) (n = 4,308; median follow-up time: 5.0 years) were used for the analyses. RLS was assessed at baseline and follow-up according to the RLS minimal criteria. A comorbidity index was calculated as a sum of the following conditions: diabetes, hypertension, myocardial infarction, obesity, stroke, cancer, renal disease, anemia, depression, thyroid disease, and migraine. The relationship between comorbidity and incident RLS was analyzed with multivariate logistic regression models. RESULTS: An increase in the number of comorbid conditions at baseline predicted prevalent RLS (DHS: trend odds ratio [OR] = 1.24, 95% confidence interval [CI] 0.99-1.56; SHIP: trend OR = 1.34, 95% CI 1.18-1.52) and incident RLS (DHS: trend OR = 1.32, 95% CI 1.04-1.68; SHIP: trend OR = 1.59, 95% CI 1.37-1.85) after adjustment for several covariates. The ORs for incident RLS associated with 3 or more comorbid diseases (DHS: OR = 2.51, 95% CI 1.18-5.34; SHIP: OR = 4.30, 95% CI 2.60-7.11) were higher than the ORs for any single disease. CONCLUSIONS: Multimorbidity was a strong risk factor for RLS in these 2 population-based cohort studies. The results support the hypothesis that cumulative disease burden is more important than the presence of a specific single disease in the pathophysiology of RLS.
OBJECTIVE: Our aim was to evaluate the association between the cumulative effect of comorbidity and the risk of restless legs syndrome (RLS) in 2 population-based German cohort studies. METHODS: The Dortmund Health Study (DHS) (n = 1,312; median follow-up time: 2.1 years) and the Study of Health in Pomerania (SHIP) (n = 4,308; median follow-up time: 5.0 years) were used for the analyses. RLS was assessed at baseline and follow-up according to the RLS minimal criteria. A comorbidity index was calculated as a sum of the following conditions: diabetes, hypertension, myocardial infarction, obesity, stroke, cancer, renal disease, anemia, depression, thyroid disease, and migraine. The relationship between comorbidity and incident RLS was analyzed with multivariate logistic regression models. RESULTS: An increase in the number of comorbid conditions at baseline predicted prevalent RLS (DHS: trend odds ratio [OR] = 1.24, 95% confidence interval [CI] 0.99-1.56; SHIP: trend OR = 1.34, 95% CI 1.18-1.52) and incident RLS (DHS: trend OR = 1.32, 95% CI 1.04-1.68; SHIP: trend OR = 1.59, 95% CI 1.37-1.85) after adjustment for several covariates. The ORs for incident RLS associated with 3 or more comorbid diseases (DHS: OR = 2.51, 95% CI 1.18-5.34; SHIP: OR = 4.30, 95% CI 2.60-7.11) were higher than the ORs for any single disease. CONCLUSIONS: Multimorbidity was a strong risk factor for RLS in these 2 population-based cohort studies. The results support the hypothesis that cumulative disease burden is more important than the presence of a specific single disease in the pathophysiology of RLS.
Authors: Galit Levi Dunietz; Lynda D Lisabeth; Kerby Shedden; Q Afifa Shamim-Uzzaman; Alexandra S Bullough; Mark C Chames; Marc F Bowden; Louise M O'Brien Journal: J Clin Sleep Med Date: 2017-07-15 Impact factor: 4.062
Authors: Kim E Innes; Sahiti Kandati; Kathryn L Flack; Parul Agarwal; Terry Kit Selfe Journal: J Womens Health (Larchmt) Date: 2016-02-25 Impact factor: 2.681
Authors: Jan Rémi; Thomas Pollmächer; Kai Spiegelhalder; Claudia Trenkwalder; Peter Young Journal: Dtsch Arztebl Int Date: 2019-10-11 Impact factor: 5.594