Suppr超能文献

美国成年人(年龄≥50岁)积极心理健康状况与疼痛及已记录的阿片类药物治疗的相关性

Correlation of Positive Psychological Health among US Adults (Aged ≥ 50 Years) with Pain and Documented Opioid Treatment.

作者信息

Axon David R, Agu Uche

机构信息

Department of Pharmacy Practice and Science, College of Pharmacy, The University of Arizona, 1295 North Martin Avenue, P.O. Box 210202, Tucson, AZ 85721, USA.

Center for Health Outcomes & Pharmacoeconomic Research (HOPE Center), College of Pharmacy, The University of Arizona, 1295 North Martin Avenue, P.O. Box 210202, Tucson, AZ 85721, USA.

出版信息

Behav Sci (Basel). 2023 Dec 29;14(1):27. doi: 10.3390/bs14010027.

Abstract

In this study, we aimed to identify the factors correlated with positive psychological health among United States older adults (≥50 years) with pain and documented opioid treatment. This retrospective cross-sectional study utilized a nationally representative dataset (Medical Expenditure Panel Survey). A multivariable logistic regression model was developed to assess the correlation of positive psychological health in the eligible population. The logistic regression model showed having excellent/very good/good (versus fair/poor) perceived health (adjusted odds ratio [AOR] = 9.062; 95% confidence interval [CI] = 5.383, 15.254) had a statistically significant correlation with positive psychological health among the eligible population. This finding offers important insights for clinicians and policymakers to consider when formulating approaches to better manage the psychological health of United States older adults with pain and documented opioid treatment.

摘要

在本研究中,我们旨在确定与有疼痛且有阿片类药物治疗记录的美国老年人(≥50岁)心理健康呈正相关的因素。这项回顾性横断面研究使用了一个具有全国代表性的数据集(医疗支出面板调查)。我们建立了一个多变量逻辑回归模型,以评估符合条件人群中心理健康呈正相关的情况。逻辑回归模型显示,在符合条件的人群中,自我感觉健康状况为极佳/非常好/良好(相对于一般/较差)与心理健康呈正相关具有统计学意义(调整优势比[AOR]=9.062;95%置信区间[CI]=5.383,15.254)。这一发现为临床医生和政策制定者在制定更好管理有疼痛且有阿片类药物治疗记录的美国老年人心理健康的方法时提供了重要的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df8b/10813132/d5682e6f7ca1/behavsci-14-00027-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验