在一项人群健康调查中，自述关节炎的受试者的特征：区分关节炎的类型。
Characteristics of subjects self-reporting arthritis in a population health survey: distinguishing between types of arthritis.
机构信息
Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC.
出版信息
Can J Public Health. 2009 Nov-Dec;100(6):467-71. doi: 10.1007/BF03404346.
OBJECTIVES
Arthritis is a broad term covering disparate diseases with varying prognoses. Epidemiological surveys are important tools for arthritis research, but they either fail to specify arthritis subtypes or they provide self-reported arthritis data that are potentially misclassified. This limits their use for research about arthritis subgroups. This study describes and compares characteristics of subjects self-reporting subtypes of arthritis in a Canadian epidemiological survey. We also consider the feasibility of developing methods for distinguishing subtypes of arthritis in such population surveys.
METHODS
Using data from 119,904 adult participants in the Canadian Community Health Survey (CCHS) cycle 3.1, we identified those self-reporting one of four subtypes of arthritis and compared the four groups with regard to socio-demographic status, lifestyle and health characteristics, medication use, health care utilization and functional outcomes. Cross-tabulations of weighted prevalence were estimated and tested for statistical significance using the chi-square test.
RESULTS
Descriptive results showed very few distinguishing characteristics across self-reported arthritis subtypes on 34 investigated variables. Participants with osteoarthritis were more likely to be older and female than other groups. Statistical testing showed no difference between rheumatoid arthritis, osteoarthritis and "other" type of arthritis for physical activity level, health conditions, medication use, health care utilization and functional limitations.
DISCUSSION
Characteristics of subjects who self-report different types of arthritis in a typical population health survey (CCHS) are not sufficiently dissimilar to justify valid data analyses and interpretation by arthritis subgroup. Future studies might focus on identifying and implementing supplemental questionnaire items in epidemiological population surveys.
目的
关节炎是一个涵盖多种疾病且预后各异的广义术语。流行病学调查是关节炎研究的重要工具，但它们要么未能明确关节炎亚型，要么提供潜在分类错误的自我报告关节炎数据。这限制了它们在关节炎亚组研究中的应用。本研究描述并比较了加拿大流行病学调查中自我报告关节炎亚型的受试者的特征。我们还考虑了在这种人群调查中开发区分关节炎亚型方法的可行性。
方法
使用来自加拿大社区健康调查（CCHS）第 3.1 周期的 119904 名成年参与者的数据，我们确定了自我报告四种关节炎亚型之一的参与者，并比较了这四个组在社会人口统计学状况、生活方式和健康特征、药物使用、医疗保健利用和功能结果方面的特征。使用卡方检验对加权患病率的交叉表进行了估计和检验。
结果
描述性结果表明，在 34 个调查变量中，自我报告的关节炎亚型之间几乎没有明显的区别特征。骨关节炎患者比其他组更可能年龄较大且为女性。统计检验显示，类风湿关节炎、骨关节炎和“其他”类型关节炎之间在身体活动水平、健康状况、药物使用、医疗保健利用和功能限制方面没有差异。
讨论
在典型的人群健康调查（CCHS）中自我报告不同类型关节炎的受试者的特征没有足够的不同，无法证明按关节炎亚组进行有效的数据分析和解释是合理的。未来的研究可能侧重于在流行病学人群调查中识别和实施补充问卷项目。
Zotero 插件