マツイ ケンタロウ   MATSUI Kentaro
  松井 健太郎
   所属   医学部 医学科(東京女子医科大学病院)
   職種   非常勤講師
論文種別 原著
言語種別 英語
査読の有無 査読あり
表題 The prevalence and associated factors of seasonal exacerbation of subjective symptoms in Japanese patients with restless legs syndrome.
掲載誌名 正式名:Sleep medicine
略  称:Sleep Med
ISSNコード:18785506/13899457
掲載区分国外
巻・号・頁 101,pp.238-243
著者・共著者 Sato Moeko†, Matsui Kentaro, Sasai-Sakuma Taeko, Nishimura Katsuji, Inoue Yuichi
担当区分 2nd著者
発行年月 2023/01
概要 OBJECTIVES:To elucidate the prevalence of seasonal exacerbation in patients with restless legs syndrome (RLS) and identify its associated factors.METHODS:We investigated the presence/absence of seasonal exacerbation of RLS by distributing self-administered questionnaires with an interval of three years. Patients who reported having seasonal exacerbation in both surveys were defined as having seasonal exacerbation. RLS severity was determined using the International Restless Legs Syndrome Rating Scale (IRLS).RESULTS:Among 180 patients, 89 reported having seasonal exacerbation in the first survey. Among them, only two reported not having seasonal exacerbation in the second survey; thus, 87 (48.3%) patients were considered to have a seasonal exacerbation. Although many of them (68 out of 87, 78.2%) experienced exacerbation in spring or summer, 19 out of 87 (21.8%) reported that their symptoms worsened in fall or winter. All the patients in this study had mild to moderate degrees of RLS severity according to the IRLS score. Multiple logistic regression analyses revealed that having a family history of RLS (p < 0.05) and moderate RLS (p < 0.001) were significantly associated with the presence of seasonal exacerbation.CONCLUSIONS:This study revealed that approximately half of all RLS patients had seasonal exacerbation of the symptoms and that about 80% of the exacerbation was observed during the spring/summer season. Moreover, seasonal exacerbation is likely to be present even in patients whose symptoms had been improved to moderate severity with pharmacological treatment.
DOI 10.1016/j.sleep.2022.11.017
PMID 36442422