41474University of North Carolina, Chapel Hill, NC, USA.
J Aging Health. 2022 Mar;34(2):213-220. doi: 10.1177/08982643211039338. Epub 2021 Aug 18.
Identifying factors associated with opioid use in middle-aged and older adults is a fundamental step in the mitigation of potentially unnecessary opioid consumption and opioid-related harms.
Using longitudinal data on a community-based cohort of adults aged 50-90 years residing in Johnston County, North Carolina, we examined sociodemographic and clinical factors in non-opioid users ( = 786) at baseline (2006-2010) as predictors of opioid use at follow-up (2013-2015). Variables included age, sex, race, obesity, educational attainment, employment status, household poverty rate, marital status, depressive symptoms, social support, pain catastrophizing, pain sensitivity, insurance status, polypharmacy, and smoking status.
At follow-up, 13% of participants were using prescription opioids. In the multivariable model, high pain catastrophizing (adjusted odds ratio; 95% confidence interval = 2.14; 1.33-3.46), polypharmacy (2.08; 1.23-3.53), and history of depressive symptoms (2.00; 1.19-3.38) were independent markers of opioid use.
Findings support the assessment of these modifiable factors during clinical encounters in patients ≥ 50 years old with chronic pain.
确定与中年和老年人群阿片类药物使用相关的因素是减轻潜在不必要的阿片类药物使用和与阿片类药物相关危害的基本步骤。
利用居住在北卡罗来纳州约翰斯顿县的 50-90 岁社区为基础的成年人队列的纵向数据,我们研究了基线(2006-2010 年)时非阿片类药物使用者(=786 人)的社会人口学和临床因素,以预测随访(2013-2015 年)时的阿片类药物使用。变量包括年龄、性别、种族、肥胖、教育程度、就业状况、家庭贫困率、婚姻状况、抑郁症状、社会支持、疼痛灾难化、疼痛敏感性、保险状况、多种药物治疗和吸烟状况。
在随访时,13%的参与者正在使用处方阿片类药物。在多变量模型中,高疼痛灾难化(调整后的优势比;95%置信区间=2.14;1.33-3.46)、多种药物治疗(2.08;1.23-3.53)和抑郁症状史(2.00;1.19-3.38)是阿片类药物使用的独立标志物。
这些发现支持在≥50 岁患有慢性疼痛的患者的临床就诊中评估这些可改变的因素。