Beydoun May A, Weiss Jordan, Beydoun Hind A, Fanelli-Kuczmarski Marie T, Hossain Sharmin, El-Hajj Ziad W, Evans Michele K, Zonderman Alan B
Laboratory of Epidemiology and Population Sciences National Institute on Aging, NIA/NIH/IRP Baltimore Maryland USA.
Department of Demography University of California-Berkeley Berkeley California USA.
Alzheimers Dement (N Y). 2022 Mar 16;8(1):e12275. doi: 10.1002/trc2.12275. eCollection 2022.
Racial disparities in Alzheimer's disease (AD) and all-cause dementia (DEMENTIA) incidence may exist differentially among men and women, with unknown mechanisms.
A retrospective cohort study examining all-cause and AD dementia incidence was conducted linking Third National Health and Nutrition Examination Survey (NHANES III) to Centers for Medicare & Medicaid Services Medicare data over ≤26 years of follow-up (1988 to 2014). Cox regression and generalized structural equation models (GSEMs) were constructed among men and women ≥60 years of age at baseline (N = 4592). Outcomes included onset ages of all-cause and AD dementia, whereas the main exposures were race/ethnicity contrasts (RACE_ETHN). Potential mediators) included socio-economic status (SES), lifestyle factors (dietary quality [DIET] nutritional biomarkers [NUTR], physical activity [PA], social support [SS], alcohol [ALCOHOL], poor health [or HEALTH], poor cognitive performance [or COGN]. In addition to RACE_ETHN, the following were exogenous covariates in the GSEM and potential confounders in Cox models: age, sex, urban-rural, household size, and marital status.
Non-Hispanic Black (NHB) women had a higher risk of DEMENTIA versus non-Hispanic White (NHW) women in GSEM, consistent with Cox models (age-adjusted model: hazard ratio [HR] = 1.34, 95% confidence interval [CI]: 1.10 to 1.61). The total effect of this RACE_ETHN contrast in women was explained by four main pathways: (1) RACE_ETHN→ poor cognitive performance (COGN, +) → DEMENTIA (+); (2) RACE_ETHN → SES (-) → COGN (-) → DEMENTIA (+); (3) RACE_ETHN → SES (-) → physical activity (PA, +) → COGN (-) → DEMENTIA (+); and (4) RACE_ETHN → SES (-) → DIET (+) → COGN (-) → DEMENTIA (+). A reduced AD risk in Mexican American (MA) women versus NHW women upon adjustment for SES and downstream factors (HR = 0.53, 95% CI: 0.35 to 0.80). For the non-White versus NHW contrast in incident DEMENTIA, pathways involved lower SES, directly increasing cognitive deficits (or indirectly through lifestyle factors), which then directly increases DEMENTIA .
Socioeconomic and lifestyle factors explaining disparities between NHB and NHW in dementia onset among women are important to consider for future observational and intervention studies.
阿尔茨海默病(AD)和全因性痴呆症(DEMENTIA)发病率的种族差异在男性和女性中可能存在差异,其机制尚不清楚。
进行了一项回顾性队列研究,以检查全因性和AD痴呆症的发病率,该研究将第三次全国健康与营养检查调查(NHANES III)与医疗保险和医疗补助服务中心的医疗保险数据相联系,随访时间≤26年(1988年至2014年)。在基线时年龄≥60岁的男性和女性(N = 4592)中构建了Cox回归模型和广义结构方程模型(GSEM)。结局包括全因性和AD痴呆症的发病年龄,而主要暴露因素是种族/族裔对比(RACE_ETHN)。潜在的中介因素包括社会经济地位(SES)、生活方式因素(饮食质量[DIET]、营养生物标志物[NUTR]、身体活动[PA]、社会支持[SS]、酒精[ALCOHOL]、健康状况差[或HEALTH]、认知能力差[或COGN])。除RACE_ETHN外,以下是GSEM中的外生协变量和Cox模型中的潜在混杂因素:年龄、性别、城乡、家庭规模和婚姻状况。
在GSEM中,非西班牙裔黑人(NHB)女性患痴呆症的风险高于非西班牙裔白人(NHW)女性,这与Cox模型一致(年龄调整模型:风险比[HR] = 1.34,95%置信区间[CI]:l.10至1.61)。女性中这种RACE_ETHN对比的总效应由四个主要途径解释:(1)RACE_ETHN→认知能力差(COGN,+)→痴呆症(+);(2)RACE_ETHN→社会经济地位(SES,-)→认知能力(COGN,-)→痴呆症(+);(3)RACE_ETHN→社会经济地位(SES,-)→身体活动(PA,+)→认知能力(COGN,-)→痴呆症(+);以及(4)RACE_ETHN→社会经济地位(SES,-)→饮食(DIET,+)→认知能力(COGN,-)→痴呆症(+)。在调整社会经济地位和下游因素后,墨西哥裔美国(MA)女性患AD的风险低于NHW女性(HR = 0.53,95% CI:0.35至0.80)。对于新发痴呆症中,非白人与NHW的对比,途径涉及较低的社会经济地位,直接增加认知缺陷(或通过生活方式因素间接增加),进而直接增加痴呆症。
社会经济和生活方式因素解释了女性中NHB和NHW在痴呆症发病方面的差异,这对于未来的观察性和干预性研究而言是重要的考虑因素。