Yang Tse-Chuan, Strully Kate, Shoff Carla, Lee Heeyoung
Department of Sociology, University at Albany, State University of New York, Albany, New York, USA.
Independent Consultant, Baltimore, Maryland, USA.
J Gerontol B Psychol Sci Soc Sci. 2025 Jun 10;80(7). doi: 10.1093/geronb/gbaf069.
Little is known about how individual health conditions and residential characteristics jointly shape the risk of opioid use disorder (OUD) among older adults. This study examines hypotheses drawn from the collective resources and relative deprivation models to fill this gap.
Applying the cases/controls matching technique to the 2018-2021 Medicare Fee-for-Service Part A and Part B claims data, this study constructs a case-control data set containing 92,244 older (65+) beneficiaries with OUD and 372,310 older beneficiaries without OUD. The beneficiary-level information is merged with characteristics of residential counties drawn from the 2016-2020 American Community Survey. Interaction terms between the beneficiary's health conditions and county features, namely concentrated disadvantage and residential instability, are used to test the hypotheses.
The multilevel logistic regression results support the relative deprivation hypothesis as gaps in the predicted probability of having OUD for older adults with more versus fewer health conditions narrow in areas with more concentrated disadvantage. Older beneficiaries with poor health have a lower risk of OUD when living in socioeconomically disadvantaged counties than in affluent counties. Results also show that poor mental health and physical conditions are positively associated with the risk of OUD, and including county-level characteristics does not alter the relationships found at the beneficiary level.
Older adults' residential environment not only contributes to the risk of OUD but also moderates the relationships between health conditions and the risk of OUD. It is critical to consider the residential environment when developing interventions to reduce OUD among older adults.
关于个体健康状况和居住特征如何共同影响老年人阿片类药物使用障碍(OUD)风险的了解甚少。本研究检验了从集体资源模型和相对剥夺模型得出的假设,以填补这一空白。
本研究将病例/对照匹配技术应用于2018 - 2021年医疗保险按服务收费的A部分和B部分索赔数据,构建了一个病例对照数据集,其中包含92,244名患有OUD的65岁及以上老年受益人以及372,310名未患OUD的老年受益人。受益人的个体层面信息与从2016 - 2020年美国社区调查中获取的居住县特征相结合。受益人的健康状况与县特征(即集中劣势和居住不稳定)之间的交互项用于检验假设。
多层次逻辑回归结果支持相对剥夺假设,因为在劣势更集中的地区,健康状况较多与较少的老年人患OUD的预测概率差距缩小。健康状况较差的老年受益人生活在社会经济弱势县时患OUD的风险低于生活在富裕县时。结果还表明,心理健康和身体状况较差与OUD风险呈正相关,并且纳入县级特征并未改变在受益人层面发现的关系。
老年人的居住环境不仅会导致OUD风险,还会调节健康状况与OUD风险之间的关系。在制定减少老年人OUD的干预措施时,考虑居住环境至关重要。