121
Views
4
CrossRef citations to date
0
Altmetric
Articles

The prevalence of restless legs syndrome and its relationship with demographic characteristics and medical disorders in postmenopausal Iranian women

, , &
Pages 1317-1325 | Received 21 Sep 2017, Accepted 29 Jan 2018, Published online: 01 Mar 2018
 

ABSTRACT

This study was conducted to evaluate the prevalence of restless legs syndrome (RLS) and its relationship with demographic factors and medical disorders on 980 postmenopausal women. Data was gathered using a demographic questionnaire and the International Restless Legs Syndrome Scale. The prevalence of RLS was 16.02% (157/980). Women with poor economic status were 3.37 and 2.33 times more likely to have RLS than women with a good economic situation and moderate economic status (CI:2.041-5.579, P ≤ 0.0001) and (CI: 1.540-3.551, P ≤ 0.0001) respectively. The risk of RLS was 64% greater in women who smoked than in non-smokers. Women with history of hypertension, diabetes and anemia were 2.82, 2.09 and 2.19 times, respectively, more likely to have RLS than those without (P < 0.001). Also women with higher body mass index were more likely to have RLS and women taking hormone replacement therapy were less likely to have RLS. The prevalence of RLS among postmenopausal Iranian women is quite high and there is a relationship between RLS and factors such as age at menopause, education level, a history of smoking, hypertension, anemia and diabetes.

Additional information

Funding

This work was supported by the Ahvaz Jundishapur University of Medical Sciences.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 281.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.