Association of restless legs syndrome and obesity: A sub-population of the MASHAD cohort study

Q2 Medicine Neurobiology of Sleep and Circadian Rhythms Pub Date : 2025-02-12 DOI:10.1016/j.nbscr.2025.100113

Azam Vafaei , Fatemeh Khorashadizadeh , Maryam Saberi-Karimian , Sara Saffar Soflaei , Mahnaz Amini , Abolfazl Rashid , Sara Yousefian , Gordon A. Ferns , Habibollah Esmaily , Majid Ghayour-Mobarhan , Reza Salaran , Fatemeh Taherian

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Abstract

Introduction

Restless Legs Syndrome (RLS), as a relatively unknown sleep disorder, often associated with obesity. The purpose of this study was to examine the relationship between RLS and different definitions of obesity within the Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study population.

Methods

A total of 1006 subjects, with an average age of 57 (51.75–63.00) years old, were randomly selected from the MASHAD cohort study phase II. This sample included 449 males and 557 females, who were contacted by phone to inquire about RLS. Anthropometric measurements such as weight, height, waist circumference (WC), and hip circumference (HC) were taken. Central obesity was defined as a WC > 90 cm for men and >85 cm for women, as well as a waist-to-hip ratio (WHR) greater than 0.90 for men and 0.85 for women. Statistical analyses were conducted using R version 4.3.2 for Windows, with a significance level set at a two-sided P-value<0.05. Chi-squared and Fisher's exact tests were used to compare the categorical variables between two study groups. Logistic models applied to evaluate the association between RLS and BMI while adjusting for age effects.

Results

The study found a significant relationship between RLS and employment status (p-value = 0.04), marital status (p-value = 0.05), and BMI (p-value<0.001). The results showed that in the total population, the OR of RLS in subjects having BMI>30 kg/m² increased to 1.50(1.10–2.03) after adjusting for confounding factors (p-value<0.01). A BMI>30 kg/m² increased odds of RLS by 1.72 times in males (95%CI: 1.03–2.84, p-value<0.05), however this association was diminished after adjustment (OR = 1.20, 95%CI: 0.64–2.17). There was no significant association between BMI and RLS in females. Moreover, there was no significant association between RLS and obesity based on WC and WHR in fully adjusted model respectively.

Conclusion

There was a significant association between BMI and RLS. A BMI>30 kg/m² increased the odds of RLS by 1.50 times in the study population.

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不安腿综合征与肥胖的关系：MASHAD 群体研究的一个子群体

不宁腿综合征（RLS）是一种相对不为人知的睡眠障碍，通常与肥胖有关。本研究的目的是在马什哈德卒中和心脏动脉粥样硬化性疾病（MASHAD）队列研究人群中研究RLS与不同肥胖定义之间的关系。方法从MASHAD队列研究二期随机抽取1006例受试者，平均年龄57岁（51.75 ~ 63.00）。该样本包括449名男性和557名女性，通过电话联系他们询问睡眠倒睡症。测量了体重、身高、腰围和臀围等人体测量数据。中心性肥胖被定义为WC >；男性90厘米，女性85厘米，腰臀比（WHR）男性大于0.90，女性大于0.85。采用Windows版本R 4.3.2进行统计分析，显著性水平设为双侧p值0.05。使用卡方检验和Fisher精确检验来比较两个研究组之间的分类变量。在调整年龄影响的同时，应用Logistic模型评估RLS与BMI之间的关系。结果RLS与就业状况（p值= 0.04）、婚姻状况（p值= 0.05）、身体质量指数（p值<；0.001）存在显著相关。结果显示，在总人口中，体重指数为30 kg/m2的受试者的RLS的OR在校正混杂因素后增加到1.50(1.10 ~ 2.03)（p值为0.01）。体重≤30 kg/m2使男性发生RLS的几率增加1.72倍（95%CI: 1.03-2.84， p值0.05），但调整后这种相关性减弱（OR = 1.20, 95%CI: 0.64-2.17）。在女性中BMI和RLS之间没有明显的关联。此外，在完全调整模型中，基于WC和WHR的RLS与肥胖之间没有显著相关性。结论BMI与RLS有显著相关性。在研究人群中，体重≥30 kg/m2会使RLS的发生率增加1.50倍。

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来源期刊

Neurobiology of Sleep and Circadian Rhythms Neuroscience-Behavioral Neuroscience

CiteScore

4.50

自引率

0.00%

发文量

审稿时长

69 days

期刊介绍： Neurobiology of Sleep and Circadian Rhythms is a multidisciplinary journal for the publication of original research and review articles on basic and translational research into sleep and circadian rhythms. The journal focuses on topics covering the mechanisms of sleep/wake and circadian regulation from molecular to systems level, and on the functional consequences of sleep and circadian disruption. A key aim of the journal is the translation of basic research findings to understand and treat sleep and circadian disorders. Topics include, but are not limited to: Basic and translational research, Molecular mechanisms, Genetics and epigenetics, Inflammation and immunology, Memory and learning, Neurological and neurodegenerative diseases, Neuropsychopharmacology and neuroendocrinology, Behavioral sleep and circadian disorders, Shiftwork, Social jetlag.