Bobrow Kirsten, Hoang Tina, Barnes Deborah E, Gardner Raquel C, Allen Isabel E, Yaffe Kristine
Global Brain Health Initiative at UCSF, University of California, San Francisco, San Francisco, CA, United States.
Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.
Front Neurol. 2021 Nov 25;12:766705. doi: 10.3389/fneur.2021.766705. eCollection 2021.
South Africa is a middle-income country with high levels of income inequality and a rapidly aging population and increasing dementia prevalence. Little is known about which risk factors for dementia are important and how they differ by social determinants of health as well as key demographic characteristics such as sex and wealth. We sought to calculate the population attributable risks (PARs) for established potentially modifiable risk factors for dementia among these different groups. We obtained risk factor prevalence from population-based surveys for established dementia risk factors (diabetes, midlife hypertension, midlife obesity, physical inactivity, depression, smoking, low educational attainment, social isolation). We used relative risk estimates reported in previous meta-analyses and estimated PARs using Levin's formula and accounting for communality. We tested for one-way and two-way interactions by sex and wealth using Pearson's χ2. In stratified analyses, we performed tests for trend using logistic regression. The prevalence of established risk factors for dementia ranged from 5% for depression to 64% for low education. After accounting for communality, the risk factors contributing the greatest PAR were low education (weighted PAR 12%, 95% CI 7% to 18%), physical inactivity (9, 5-14%), and midlife hypertension (6, 5-14%). Together, 45% of dementia cases may be attributable to modifiable risk factors (95% CI 25-59%). We found significant interactions ( < 0.005) between sex, wealth, or both (sex wealth) and each risk factor except social isolation and physical activity. Low education was inversely associated with wealth in both male and female. The PAR for midlife hypertension, obesity, and diabetes was associated with increasing wealth, and was higher in female. In contrast, the PAR for smoking was higher in male (8% vs. 2%) and was associated with increasing wealth among female only. We found that either a strategy of large reductions in selected risk factors with the highest PAR (midlife hypertension, smoking, physical inactivity) or small reductions across all risk factors could potentially reduce dementia cases by as many as 250,000 by 2050. The potential impact on dementia risk by decreasing exposure to established dementia risk factors is large and differs by sex and social determinants of health like wealth. Risk factor PAR should inform national and local health policy dementia initiatives in South Africa including which risk factors to target in the whole population and which to target in high-risk groups for maximum public health benefit.
南非是一个中等收入国家,收入不平等程度高,人口迅速老龄化,痴呆症患病率不断上升。对于哪些痴呆症风险因素很重要,以及它们如何因健康的社会决定因素以及性别和财富等关键人口特征而有所不同,人们了解甚少。我们试图计算这些不同群体中已确定的潜在可改变的痴呆症风险因素的人群归因风险(PARs)。我们从基于人群的调查中获取了已确定的痴呆症风险因素(糖尿病、中年高血压、中年肥胖、身体不活动、抑郁症、吸烟、低教育程度、社会隔离)的风险因素患病率。我们使用了先前荟萃分析中报告的相对风险估计值,并使用莱文公式并考虑公共性来估计PARs。我们使用Pearson卡方检验性别和财富的单向和双向交互作用。在分层分析中,我们使用逻辑回归进行趋势检验。已确定的痴呆症风险因素的患病率从抑郁症的5%到低教育程度的64%不等。在考虑公共性后,PAR贡献最大的风险因素是低教育程度(加权PAR 12%,95%CI 7%至18%)、身体不活动(9%,5% - 14%)和中年高血压(6%,5% - 14%)。总体而言,45%的痴呆症病例可能归因于可改变的风险因素(95%CI 25% - 59%)。我们发现性别、财富或两者(性别×财富)与除社会隔离和身体活动之外的每个风险因素之间存在显著交互作用(P < 0.005)。低教育程度在男性和女性中均与财富呈负相关。中年高血压、肥胖和糖尿病的PAR与财富增加相关,且在女性中更高。相比之下,吸烟的PAR在男性中更高(8%对2%),且仅在女性中与财富增加相关。我们发现,要么大幅降低PAR最高的选定风险因素(中年高血压、吸烟、身体不活动),要么全面小幅降低所有风险因素,到2050年可能使痴呆症病例减少多达25万例。通过减少接触已确定的痴呆症风险因素对痴呆症风险的潜在影响很大,并且因性别和财富等健康的社会决定因素而异。风险因素PAR应为南非的国家和地方卫生政策痴呆症倡议提供信息,包括在整个人口中针对哪些风险因素,以及在高危人群中针对哪些风险因素以实现最大的公共卫生效益。