Structural brain lesions and restless legs syndrome: a cross-sectional population-based study
BMJ Open. 2014-11-01; 4(11): e005938
DOI: 10.1136/bmjopen-2014-005938
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1. BMJ Open. 2014 Nov 24;4(11):e005938. doi: 10.1136/bmjopen-2014-005938.
Structural brain lesions and restless legs syndrome: a cross-sectional
population-based study.
Rist PM(1), Tzourio C(2), Elbaz A(3), Soumaré A(4), Dufouil C(2), Mazoyer B(5),
Kurth T(6).
Author information:
(1)Division of Preventive Medicine, Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, Massachusetts, USA Department of
Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA.
(2)INSERM Research Center for Epidemiology and Biostatistics (U897) Team
Neuroepidemiology, Bordeaux, France College of Health Sciences, University of
Bordeaux, Bordeaux, France.
(3)Social and Occupational Determinants of Health, INSERM, Centre for Research in
Epidemiology and Population Health, U1018, Villejuif, France Université de
Versailles St-Quentin, Versailles, France.
(4)INSERM Research Center for Epidemiology and Biostatistics (U897) Team
Neuroepidemiology, Bordeaux, France.
(5)College of Health Sciences, University of Bordeaux, Bordeaux, France CNRS CEA
(UMR5296) Neurofunctional Imaging Group, University of Bordeaux, Bordeaux,
France.
(6)Division of Preventive Medicine, Department of Medicine, Brigham and Women’s
Hospital, Harvard Medical School, Boston, Massachusetts, USA Department of
Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA INSERM
Research Center for Epidemiology and Biostatistics (U897) Team Neuroepidemiology,
Bordeaux, France College of Health Sciences, University of Bordeaux, Bordeaux,
France.
OBJECTIVE: To evaluate the association between white matter lesion (WML) volume,
silent infarcts and restless legs syndrome (RLS) in a population-based study of
elderly individuals.
DESIGN: Cross-sectional study.
SETTING: Population-based Three-City study.
PARTICIPANTS: 1035 individuals from the Dijon, France, centre of the Three-City
study who had available information on volume of WMLs from MRIs and who answered
questions about the prevalence of RLS.
PRIMARY OUTCOME MEASURE: Prevalence of RLS.
RESULTS: WML volume was measured using an automated tissue segmentation method.
Logistic regression was used to evaluate adjusted associations between tertiles
of WML volume and RLS and between silent infarcts and RLS. 218 individuals
(21.1%) were determined to have RLS. Compared with those in the first tertile of
WML volume, individuals in the second tertile (OR=1.09; 95% CI 0.75 to 1.60) or
third tertile (OR=1.17; 95% CI 0.79 to 1.74) did not have an increased prevalence
of RLS. We also did not observe associations between the volume of deep or
periventricular WML and RLS; nor did we observe an association between silent
brain infarcts and RLS (OR=0.74; 95% CI 0.40 to 1.39). These findings were not
modified by age or gender.
CONCLUSIONS: Higher volume of WML and the presence of silent infarcts were not
associated with an increased prevalence of RLS in this population-based cohort of
elderly individuals.
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DOI: 10.1136/bmjopen-2014-005938
PMCID: PMC4244423
PMID: 25421338 [Indexed for MEDLINE]