Social and Behavioral Sciences, Yale University School of Public Health, New Haven, Connecticut, USA
Social and Behavioral Sciences, Yale University School of Public Health, New Haven, Connecticut, USA.
BMJ Open. 2021 May 13;11(5):e042580. doi: 10.1136/bmjopen-2020-042580.
To determine the association between country-level structural ageism and prevalence of violence against older persons.
Country-level ecological study.
Structural ageism data were drawn from the nationally representative World Values Survey 2010-2014 (WVS), global databases from the WHO, United Nations and the World Bank. Violence data were based on the Global Burden of Diseases (GBD) study 2017.
Analysis of 56 countries that represented 63.1% of the world's ageing population aged 60 and over across all six of WHO regions.
Structural ageism, following established structural stigma measures, consisted of two components: (1) discriminatory national policies related to older persons' economic, social, civil and political rights, based on the four core components of human rights protection in Madrid International Plan of Action on Aging and (2) prejudicial social norms against older persons, measured by negative attitudes toward older persons in 56 national polls in WVS aggregated to country-level. These components were z scored and combined such that higher score indicated greater structural ageism.
Prevalence rates of violence per 100 000 persons aged 70 and over in each country was based on extensive epidemiological surveillance data, survey, clinical data and insurance claims in GBD and compiled by the Institute of Health Metrics and Evaluation, University of Washington.
There was a wide variation in levels of structural ageism across countries. As predicted, structural ageism was significantly associated with the prevalence rates of violence in multivariate models (β=205.7, SE=96.3, p=0.03), after adjusting for relevant covariates. Sensitivity analyses supported the robustness of our findings. That is, structural ageism did not predict other types of violence and other types of prejudice did not predict violence against older persons.
This study provides the first evidence of the association between higher structural ageism and greater violence against older persons across countries.
确定国家层面结构性年龄歧视与暴力侵害老年人行为之间的关联。
国家层面生态研究。
结构性年龄歧视数据来自具有代表性的 2010-2014 年世界价值观调查(WVS)的国家层面数据,全球数据库来自世界卫生组织(WHO)、联合国和世界银行。暴力数据基于 2017 年全球疾病负担(GBD)研究。
分析了代表全球六个 WHO 区域所有 60 岁及以上老年人的 56 个国家。
结构性年龄歧视,采用既定的结构性污名化措施,包括两个组成部分:(1)与老年人的经济、社会、公民和政治权利相关的歧视性国家政策,基于马德里老龄化国际行动计划中的四项老年人人权保护核心内容;(2)针对老年人的偏见性社会规范,通过 56 个国家调查中老年人的负面态度进行衡量,这些态度汇总到国家层面。这些组成部分被 z 得分,并进行组合,得分越高表示结构性年龄歧视越严重。
每个国家 70 岁及以上人口每 10 万人的暴力发生率,是基于 GBD 中广泛的流行病学监测数据、调查、临床数据和保险索赔,由华盛顿大学健康计量与评估研究所编制。
各国之间的结构性年龄歧视水平存在很大差异。正如预测的那样,在调整了相关协变量后,在多元模型中,结构性年龄歧视与暴力发生率显著相关(β=205.7,SE=96.3,p=0.03)。敏感性分析支持了我们研究结果的稳健性。也就是说,结构性年龄歧视并不能预测其他类型的暴力,而其他类型的偏见也不能预测针对老年人的暴力。
本研究首次提供了证据,证明国家层面更高的结构性年龄歧视与更普遍的暴力侵害老年人行为之间存在关联。