Department of Psychology, University of Kansas, Lawrence, KS, USA.
Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
BMC Geriatr. 2017 Oct 30;17(1):255. doi: 10.1186/s12877-017-0652-8.
Aging is often associated with the challenge of navigating daily tasks with a painful chronic medical illness. Yet, there is concern of the number of older adults impacted with more than one chronic condition. Despite the increasing number of adults diagnosed with diabetes and comorbid chronic illnesses, there remains a lack of understanding in how multiple illnesses relate to experiences of pain. To assess the association between multiple chronic conditions and pain, this study aimed to identify clusters of chronic medical conditions and their association with pain among a sample of older Black and White adults diagnosed with diabetes.
Two hundred and thirty-six participants responded to a series of questions assessing pain frequency and severity, as well as health and social characteristics. A factor analysis was used to categorize clusters of medical conditions, and multiple regression models were used to examine predictors of pain.
Seven of the assessed chronic medical conditions loaded on three factors, and accounted for 57.2% of the total variance, with heart disease (factor 1) accounting for 21.9%, musculoskeletal conditions (factor 2) for another 18.4%, and factor 3 (microvascular diseases) accounting for a final 16.9% of the variability among the chronic medical conditions. Covariate-adjusted models showed that fewer years of education and higher scores on the microvascular and musculoskeletal conditions factors were associated with higher pain frequency, with the musculoskeletal conditions factor being the strongest predictor.
Findings from this study compliment existent literature underscoring the prevalence and importance of comorbid diagnoses in relation to pain. Examining health-related factors beyond a single disease diagnosis also provides an opportunity to explore underlying disease co-occurrences that may persist beyond organ system classifications.
衰老通常与在患有慢性疼痛性疾病的情况下应对日常任务的挑战有关。然而,人们担心有多少老年人患有多种慢性疾病。尽管越来越多的成年人被诊断出患有糖尿病和合并的慢性疾病,但对于多种疾病如何与疼痛体验相关,人们的理解仍然有限。为了评估多种慢性疾病与疼痛之间的关系,本研究旨在确定一组慢性医学疾病,并评估其与患有糖尿病的老年黑人和白人样本中疼痛之间的关系。
236 名参与者回答了一系列问题,评估了疼痛的频率和严重程度,以及健康和社会特征。采用因子分析对慢性疾病进行分类,并采用多元回归模型来检验疼痛的预测因素。
评估的七种慢性医学疾病中有七种可归入三个因子,占总方差的 57.2%,其中心脏病(因子 1)占 21.9%,肌肉骨骼疾病(因子 2)占 18.4%,因子 3(微血管疾病)占慢性疾病中变异性的最后 16.9%。调整协变量后的模型显示,受教育年限较少和微血管及肌肉骨骼疾病因子得分较高与疼痛频率较高相关,而肌肉骨骼疾病因子是最强的预测因素。
本研究的结果补充了现有的文献,强调了合并诊断在疼痛方面的普遍性和重要性。除了单一疾病诊断外,检查与健康相关的因素也为探索可能超出器官系统分类的潜在疾病共现提供了机会。