University of Massachusetts, Amherst; Department of Psychological and Brain Sciences; 135 Hicks Way, Tobin Hall, Amherst, MA, 01003, USA.
University of Massachusetts, Amherst; Department of Psychological and Brain Sciences; 135 Hicks Way, Tobin Hall, Amherst, MA, 01003, USA.
Soc Sci Med. 2023 Jan;317:115449. doi: 10.1016/j.socscimed.2022.115449. Epub 2022 Nov 21.
As the older adult population increases, understanding the health effects of bias against older adults is increasingly important. Whether structural forms of age bias predict worse health has received limited attention.
We hypothesized that communities with greater age bias would have higher mortality among residents aged 65 and older. We expected the association to be unique to age bias, rather than general bias (i.e., sexual minority and racial bias), and that the age bias-mortality association would be strongest in predominantly White and younger communities.
Explicit and implicit attitudes toward older adults (N = 1,001,735), sexual minorities (N = 791,966), and Black Americans (N = 2,255,808) were drawn from Project Implicit. Post-stratification relative to U.S. Census demographics was executed to improve the representativeness of county-level explicit and implicit bias estimates. County older adult mortality, estimated cross-sectionally with and longitudinally relative to bias scores, served as outcomes. Models controlled for relevant county-level covariates (e.g., median age) and included all U.S. counties (N = 3142).
Contrary to hypotheses but consistent with prior work, explicit age bias was cross-sectionally and longitudinally associated with lower mortality, over and above covariates and generalized community bias. The explicit age bias-lower mortality association only emerged in younger counties but did not depend on county ethnic composition. Implicit age bias was unassociated with outcomes. Post-hoc analyses supported that ageist communities may be associated with better health across the lifespan. Explicit age bias predicted lower mortality in young and middle adulthood; better mental health in middle adulthood, but not exercise or self-rated health, mediated the explicit age bias-older adult mortality association.
Results highlight the uniqueness of older age relative to other stigmatized identities. Further examination of the association of community-level age bias with better health may improve longevity for all communities.
随着老年人口的增加,了解针对老年人的偏见对健康的影响变得越来越重要。结构形式的年龄偏见是否会预测更差的健康状况,这一问题受到的关注有限。
我们假设,年龄偏见较大的社区,其 65 岁及以上居民的死亡率会更高。我们预计,这种关联是针对年龄偏见的,而不是针对一般偏见(即性少数群体和种族偏见),并且年龄偏见与死亡率之间的关联在以白人和年轻人为主的社区中最强。
从“内隐联想测验”(Project Implicit)中提取了针对老年人(N=1001735 人)、性少数群体(N=791966 人)和美国黑人(N=2255808 人)的明确和隐含态度。针对美国人口普查数据进行了事后分层,以提高县级明确和隐含偏见估计值的代表性。采用横截面对比和纵向对比偏倚分数的方法,对县老年人死亡率进行了估计,并将其作为结果。模型控制了相关的县级协变量(例如,中位数年龄),并纳入了所有美国县(N=3142)。
与假设相反,但与先前的研究一致,明确的年龄偏见与死亡率呈横截面对比和纵向对比,且不受协变量和一般性社区偏见的影响。明确的年龄偏见与较低的死亡率之间的关联仅出现在较年轻的县,但与县的种族构成无关。隐含的年龄偏见与结果无关。事后分析支持这样一种观点,即年龄歧视的社区可能与整个生命周期的健康状况有关。明确的年龄偏见预测了年轻和中年时期的死亡率较低;中年时期的心理健康状况较好,但中年时期的锻炼或自我报告的健康状况并未介导明确的年龄偏见与老年死亡率之间的关联。
结果强调了与其他受污名化的身份相比,老年的独特性。进一步研究社区层面的年龄偏见与更好的健康之间的关联,可能会提高所有社区的寿命。