Global Brain Health Institute, University of California San Francisco, San Francisco, CA, USA.
Center of Memory and Cognition Intellectus, Hospital Universitario San Ignacio Bogotá, San Ignacio, Colombia.
Nat Med. 2023 Sep;29(9):2248-2258. doi: 10.1038/s41591-023-02495-1. Epub 2023 Aug 10.
Latin American populations may present patterns of sociodemographic, ethnic and cultural diversity that can defy current universal models of healthy aging. The potential combination of risk factors that influence aging across populations in Latin American and Caribbean (LAC) countries is unknown. Compared to other regions where classical factors such as age and sex drive healthy aging, higher disparity-related factors and between-country variability could influence healthy aging in LAC countries. We investigated the combined impact of social determinants of health (SDH), lifestyle factors, cardiometabolic factors, mental health symptoms and demographics (age, sex) on healthy aging (cognition and functional ability) across LAC countries with different levels of socioeconomic development using cross-sectional and longitudinal machine learning models (n = 44,394 participants). Risk factors associated with social and health disparities, including SDH (β > 0.3), mental health (β > 0.6) and cardiometabolic risks (β > 0.22), significantly influenced healthy aging more than age and sex (with null or smaller effects: β < 0.2). These heterogeneous patterns were more pronounced in low-income to middle-income LAC countries compared to high-income LAC countries (cross-sectional comparisons), and in an upper-income to middle-income LAC country, Costa Rica, compared to China, a non-upper-income to middle-income LAC country (longitudinal comparisons). These inequity-associated and region-specific patterns inform national risk assessments of healthy aging in LAC countries and regionally tailored public health interventions.
拉丁美洲人群可能存在社会人口学、民族和文化多样性模式,这些模式可能不符合当前健康老龄化的普遍模式。目前还不清楚影响拉丁美洲和加勒比(LAC)国家人口老龄化的潜在风险因素组合。与其他地区相比,在其他地区,年龄和性别等经典因素推动了健康老龄化,而 LAC 国家中更高的与差异相关的因素和国家间的可变性可能会影响健康老龄化。我们使用横断面和纵向机器学习模型(n=44394 名参与者),研究了不同社会经济发展水平的 LAC 国家中,健康老龄化(认知和功能能力)与健康的综合影响社会决定因素(SDH)、生活方式因素、心血管代谢因素、心理健康症状和人口统计学(年龄、性别)。与社会和健康差距相关的风险因素,包括 SDH(β>0.3)、心理健康(β>0.6)和心血管代谢风险(β>0.22),对健康老龄化的影响明显大于年龄和性别(具有零或较小的影响:β<0.2)。与高收入 LAC 国家相比,这些异质模式在中低收入 LAC 国家中更为明显(横断面比较),在中高收入 LAC 国家哥斯达黎加与非中高收入 LAC 国家中国相比更为明显(纵向比较)。这些与不平等相关和区域特有的模式为 LAC 国家的国家健康老龄化风险评估和区域定制的公共卫生干预措施提供了信息。