Restless Legs risk in the biracial East Baltimore cohort

这项研究的主要目标是确定不宁腿综合症(RLS)与潜在风险因素的关系：种族以及身心健康。另一个目标是探索RLS与睡眠和功能/残疾的关系。分析将使用自1980年以来在东巴尔的摩地区研究(EGA)中积累的数据库。关于RLS诊断特征的问题包括在当前的EGA浪潮中。积累的数据包括受试者的人口统计信息、社会和功能状况以及身体和心理健康状况。约三分之一的受试者是非洲裔美国人。具体目标：1)确定RLS在非裔美国人和高加索人群中的患病率是否不同。临床上有强烈的怀疑，认为RLS在非裔美国人中不那么普遍，但缺乏证据。如果发现种族差异，可能与两个群体的其他特征有关。2)确定纵向健康措施或实验室数值是否为RLS的发展提供可靠的风险衡量标准。以前的研究表明，身体和精神健康状况不佳都与RLS有关。EGA数据库中丰富的纵向测量提供了检查RLS与身体和精神障碍终生病史的关系的机会。数据库中包括的APO-E类型和铁测量的实验室数值可以提供与生物变量的直接联系。3)确定RLS症状是否对个人的睡眠问题和功能/残疾造成负担。EGA数据库中关于这些问题的信息将探索RLS是否对这些重大公共卫生问题做出了重大贡献。这些数据分析的价值将通过使用有效的诊断性访谈对RLS筛查问题进行独立、盲目的确认(在所有受试者中约20%)来提高。

The major goal of this study is to determine the relationship of the Restless Legs Syndrome (RLS) to potential risk factors: ethnicity and both physical and mental health. Another goal is to explore the relationship of RLS to sleep and function/disability. The analysis will use the database accumulated since 1980 in the East Baltimore Cachment area study (EGA). Questions on diagnostic features of RLS are included within the current wave of EGA. Accumulated data includes information on the subjects' demographics, social and functional situation, physical and psychological health. About 1/3 of the subjects are African-American. Specific Aims: 1) To determine whether RLS has a different prevalence in the African-American and Caucasian populations. There is a strong clinical suspicion that RLS is less prevalent in African-American populations, but evidence is lacking. If ethnic differences are found, they may be related to other characteristics of the two populations. 2) To determine whether longitudinal health measures or laboratory values provide robust risk measures for development of RLS. Previous studies have indicated that both poor physical and mental health are related to RLS. The wealth of longitudinal measures in the EGA database provide the opportunity to examine RLS in relationship to lifetime histories of physical and mental disorders. Laboratory values for APO-E types and iron measures included in the database can provide direct links to biological variables. 3) To determine whether RLS symptoms contribute to the burden of sleep problems and function /disability in individuals. Information on these issues in the EGA database will exploration on whether RLS makes a significant contribution to these major public health problems. The value of these data analyses will be enhanced by the independent, blinded confirmation of the RLS screening questions (in approximately 20% of all subjects) using a validated diagnostic interview.