Research for Aging Populations, Optum, Ann Arbor, Michigan.
Informatics & Data Science, Optum, Minnetonka, Minnesota.
Popul Health Manag. 2019 Dec;22(6):511-521. doi: 10.1089/pop.2018.0199. Epub 2019 Feb 25.
Depression, stress, and poor sleep have been associated with increased pain among older adults; positive resources, such as resilience and social networks, may help to buffer the impacts of these negative attributes on pain outcomes. The primary objective was to determine the relative effects of positive resources and negative attributes on pain outcomes among older adults with diagnosed back pain, osteoarthritis, and rheumatoid arthritis. The stratified study sample was identified from older adults ages ≥65 years. Members received a survey assessing positive resources (resilience, social networks), negative attributes (depression, stress, poor sleep), and pain outcomes (severity, interference). Opioid and other medication use was determined from pharmaceutical claims. After weighting to representative distributions of pain conditions and adjusting for survey response bias, multinomial logistic regressions were used to determine the relative associations of positive and negative attributes on pain outcomes. Among survey respondents (N = 4161), prevalence of self-reported pain severity and interference for no/mild, moderate, and severe categories was 61%, 21%, and 18%, and 67%, 16%, and 17%, respectively. In bivariate models, negative attributes of depression, stress, and poor sleep had stronger associations with pain severity and interference than the moderating effects of positive resources of high resilience and diverse social networks. In fully adjusted multivariate models, the strongest associations with moderate and severe pain severity and interference remained depression, stress, and poor sleep. Based on these results, multidimensional pain management strategies should include management of negative attributes along with enhancement of positive resources for effective management of chronic pain.
抑郁、压力和睡眠不佳与老年人疼痛增加有关;积极的资源,如韧性和社交网络,可能有助于减轻这些负面特征对疼痛结果的影响。主要目的是确定积极资源和消极属性对诊断为背痛、骨关节炎和类风湿关节炎的老年患者疼痛结果的相对影响。分层研究样本是从年龄≥65 岁的老年人中确定的。参与者接受了一项调查,评估了积极资源(韧性、社交网络)、消极属性(抑郁、压力、睡眠不佳)和疼痛结果(严重程度、干扰)。阿片类药物和其他药物的使用是根据药物索赔确定的。在对疼痛状况的代表性分布进行加权并调整调查响应偏差后,使用多项逻辑回归来确定积极和消极属性对疼痛结果的相对关联。在调查受访者(N=4161)中,自我报告的疼痛严重程度和干扰的无/轻度、中度和重度类别的患病率分别为 61%、21%和 18%和 67%、16%和 17%。在双变量模型中,抑郁、压力和睡眠不佳等消极属性与疼痛严重程度和干扰的相关性强于高韧性和多样化社交网络等积极资源的调节作用。在完全调整的多变量模型中,与中度和重度疼痛严重程度和干扰最相关的仍然是抑郁、压力和睡眠不佳。基于这些结果,多维疼痛管理策略应包括管理消极属性,同时增强积极资源,以有效管理慢性疼痛。