Juxia Zhang, Yuping Feng, Xiaoli Zhang, Jing Wang, Hu Cheng, Yunhua Wang, Jiancheng Wang
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Multivariate logistic regression was conducted to identify the associated between SES and CI, and decomposition analysis was further applied to decompose the contribution of each determinant to the observed inequalities in CI. The SES inequalities in CI were illustrated and quantified by the concentration curve index.</p><p><strong>Results: </strong>Overall, 24.2% of participants suffered from CI in the study. The likelihood of CI was lower among those with a medium SES (OR = 0.04, 95% CI:0.03, 0.07), good SES (OR = 0.06, 95% CI: 0.04, 0.09) compared to those with lower levels of SES. Older adults with mild depression (OR = 3.66, 95% CI:2.70,4.95), moderate-severe (OR = 2.82, 95% CI:2.05,3.88) were more likely to have CI in comparison to those with no depression and regular social activities were protective factors for CI (OR = 0.28, 95% CI:0.11,0.75). The concentration index indicated that CI was more concentrated in households with poor SES. 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引用次数: 0
摘要
背景:社会经济地位(SES)低下的人承担着过重的认知障碍(CI)负担,越来越多的证据表明,老年人的认知障碍与社会经济地位不平等有关。然而,欠发达地区的数据十分有限。本研究旨在测量中国甘肃省 65 岁及以上老年人认知障碍的社会经济不平等现象,并确定社会经济因素对不平等现象的影响:数据来自 2022 年甘肃老龄化研究,包括 3241 名参与者。通过教育、收入和职业评估参与者的社会经济地位。进行多元逻辑回归以确定 SES 与 CI 之间的相关性,并进一步应用分解分析来分解各决定因素对观察到的 CI 不平等的贡献。SES 与 CI 的不平等通过浓度曲线指数进行了说明和量化:结果:总体而言,24.2% 的参与者在研究中患有 CI。与社会经济地位较低的人相比,社会经济地位中等(OR = 0.04,95% CI:0.03,0.07)和社会经济地位较高(OR = 0.06,95% CI:0.04,0.09)的人患 CI 的可能性较低。与没有抑郁症的老年人相比,患有轻度抑郁症(OR = 3.66,95% CI:2.70,4.95)和中度-重度抑郁症(OR = 2.82,95% CI:2.05,3.88)的老年人更有可能患有 CI,而经常参加社交活动是 CI 的保护因素(OR = 0.28,95% CI:0.11,0.75)。集中指数表明,CI 更集中于社会经济条件较差的家庭。因此,社会经济条件解释了 CI 中 34.65% 的社会经济不平等:本研究表明,中国甘肃省约有四分之一的老年人患有 CI。低社会经济地位与 CI 风险密切相关。尽管通过干预措施改变传统的风险因素可以降低 CI 风险,但如果不解决社会经济地位本身的问题,社会经济地位的差异可能会继续存在。
Association of low socioeconomic status with cognitive decline among older persons in underdeveloped areas in China - a data analysis of the Gansu aging study.
Background: Individuals with low socioeconomic status (SES) bear a disproportionate share of the cognitive impairment (CI) burden, there are growing evidence focusing on socioeconomic inequalities in CI among older persons. However, data in the underdeveloped regions is limited. This study aims to measure socioeconomic inequalities in CI among individuals aged 65 years or older in Gansu, China, and determine the contributions of socioeconomic factors to the inequalities.
Methods: Data from the Gansu Aging Study in 2022 including 3241 participants. Participates' SES was assessed by using education, income, and occupation. Multivariate logistic regression was conducted to identify the associated between SES and CI, and decomposition analysis was further applied to decompose the contribution of each determinant to the observed inequalities in CI. The SES inequalities in CI were illustrated and quantified by the concentration curve index.
Results: Overall, 24.2% of participants suffered from CI in the study. The likelihood of CI was lower among those with a medium SES (OR = 0.04, 95% CI:0.03, 0.07), good SES (OR = 0.06, 95% CI: 0.04, 0.09) compared to those with lower levels of SES. Older adults with mild depression (OR = 3.66, 95% CI:2.70,4.95), moderate-severe (OR = 2.82, 95% CI:2.05,3.88) were more likely to have CI in comparison to those with no depression and regular social activities were protective factors for CI (OR = 0.28, 95% CI:0.11,0.75). The concentration index indicated that CI was more concentrated in households with poor SES. Subsequently, SES explained 34.65% of socioeconomic inequality in CI.
Conclusion: This study suggested that, approximately one-quarter of older persons suffered from CI in Gansu, China. Low SES was substantially associated with risk of CI. Although interventions to modify traditional risk factors may decrease the risk of CI, disparities by SES may remain without addressing SES itself.
期刊介绍:
BMC Geriatrics is an open access journal publishing original peer-reviewed research articles in all aspects of the health and healthcare of older people, including the effects of healthcare systems and policies. The journal also welcomes research focused on the aging process, including cellular, genetic, and physiological processes and cognitive modifications.