Cosco Theodore D, Stephan Blossom C M, Brayne Carol, Muniz Graciela
Oxford Institute of Population Ageing,University of Oxford.
Institute of Health and Society,Newcastle University.
Can J Aging. 2017 Dec;36(4):427-434. doi: 10.1017/S0714980817000344. Epub 2017 Oct 11.
As the population ages, interest is increasing in studying aging well. However, more refined means of examining predictors of biopsychosocial conceptualizations of successful aging (SA) are required. Existing evidence of the relationship between early-life education and later-life SA is unclear. The Successful Aging Index (SAI) was mapped onto the Cognitive Function and Aging Study (CFAS), a longitudinal population-based cohort (n = 1,141). SAI scores were examined using growth mixture modelling (GMM) to identify SA trajectories. Unadjusted and adjusted (age, sex, occupational status) ordinal logistic regressions were conducted to examine the association between trajectory membership and education level. GMM identified a three-class model, capturing high, moderate, and low functioning trajectories. Adjusted ordinal logistic regression models indicated that individuals in higher SAI classes were significantly more likely to have higher educational attainment than individuals in the lower SAI classes. These results provide evidence of a life course link between education and SA.
随着人口老龄化，对研究健康老龄化的兴趣日益增加。然而，需要更精细的方法来检验成功老龄化（SA）的生物心理社会概念的预测因素。早期教育与晚年SA之间关系的现有证据尚不清楚。成功老龄化指数（SAI）被应用于认知功能与老龄化研究（CFAS），这是一项基于人群的纵向队列研究（n = 1141）。使用生长混合模型（GMM）检查SAI分数，以识别SA轨迹。进行未调整和调整（年龄、性别、职业状况）的有序逻辑回归，以检验轨迹归属与教育水平之间的关联。GMM识别出一个三类模型，涵盖高、中、低功能轨迹。调整后的有序逻辑回归模型表明，与低SAI类别的个体相比，高SAI类别的个体获得更高教育程度的可能性显著更高。这些结果提供了教育与SA之间生命历程联系的证据。
