Hendriks Stevie, Ranson Janice M, Peetoom Kirsten, Lourida Ilianna, Tai Xin You, de Vugt Marjolein, Llewellyn David J, Köhler Sebastian
Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, the Netherlands.
University of Exeter Medical School, Exeter, United Kingdom.
JAMA Neurol. 2024 Feb 1;81(2):134-142. doi: 10.1001/jamaneurol.2023.4929.
There is limited information on modifiable risk factors for young-onset dementia (YOD).
To examine factors that are associated with the incidence of YOD.
DESIGN, SETTING, AND PARTICIPANTS: This prospective cohort study used data from the UK Biobank, with baseline assessment between 2006 and 2010 and follow-up until March 31, 2021, for England and Scotland, and February 28, 2018, for Wales. Participants younger than 65 years and without a dementia diagnosis at baseline assessment were included in this study. Participants who were 65 years and older and those with dementia at baseline were excluded. Data were analyzed from May 2022 to April 2023.
A total of 39 potential risk factors were identified from systematic reviews of late-onset dementia and YOD risk factors and grouped into domains of sociodemographic factors (education, socioeconomic status, and sex), genetic factors (apolipoprotein E), lifestyle factors (physical activity, alcohol use, alcohol use disorder, smoking, diet, cognitive activity, social isolation, and marriage), environmental factors (nitrogen oxide, particulate matter, pesticide, and diesel), blood marker factors (vitamin D, C-reactive protein, estimated glomerular filtration rate function, and albumin), cardiometabolic factors (stroke, hypertension, diabetes, hypoglycemia, heart disease, atrial fibrillation, and aspirin use), psychiatric factors (depression, anxiety, benzodiazepine use, delirium, and sleep problems), and other factors (traumatic brain injury, rheumatoid arthritis, thyroid dysfunction, hearing impairment, and handgrip strength).
Multivariable Cox proportional hazards regression was used to study the association between the risk factors and incidence of YOD. Factors were tested stepwise first within domains and then across domains.
Of 356 052 included participants, 197 036 (55.3%) were women, and the mean (SD) age at baseline was 54.6 (7.0) years. During 2 891 409 person-years of follow-up, 485 incident YOD cases (251 of 485 men [51.8%]) were observed, yielding an incidence rate of 16.8 per 100 000 person-years (95% CI, 15.4-18.3). In the final model, 15 factors were significantly associated with a higher YOD risk, namely lower formal education, lower socioeconomic status, carrying 2 apolipoprotein ε4 allele, no alcohol use, alcohol use disorder, social isolation, vitamin D deficiency, high C-reactive protein levels, lower handgrip strength, hearing impairment, orthostatic hypotension, stroke, diabetes, heart disease, and depression.
In this study, several factors, mostly modifiable, were associated with a higher risk of YOD. These modifiable risk factors should be incorporated in future dementia prevention initiatives and raise new therapeutic possibilities for YOD.
关于早发性痴呆(YOD)可改变的风险因素的信息有限。
研究与YOD发病率相关的因素。
设计、背景和参与者:这项前瞻性队列研究使用了英国生物银行的数据,在2006年至2010年进行基线评估,并对英格兰和苏格兰随访至2021年3月31日,对威尔士随访至2018年2月28日。本研究纳入了基线评估时年龄小于65岁且无痴呆诊断的参与者。排除了65岁及以上的参与者以及基线时患有痴呆的参与者。数据于2022年5月至2023年4月进行分析。
从迟发性痴呆和YOD风险因素的系统评价中确定了总共39个潜在风险因素,并分为社会人口学因素(教育、社会经济地位和性别)、遗传因素(载脂蛋白E)、生活方式因素(身体活动、饮酒、酒精使用障碍、吸烟、饮食、认知活动、社会隔离和婚姻)、环境因素(氮氧化物、颗粒物、农药和柴油)、血液标志物因素(维生素D、C反应蛋白、估计肾小球滤过率功能和白蛋白)、心脏代谢因素(中风、高血压、糖尿病、低血糖、心脏病、心房颤动和阿司匹林使用)、精神因素(抑郁、焦虑、苯二氮䓬使用、谵妄和睡眠问题)以及其他因素(创伤性脑损伤、类风湿性关节炎、甲状腺功能障碍、听力障碍和握力)等领域。
采用多变量Cox比例风险回归研究风险因素与YOD发病率之间的关联。首先在各领域内逐步对因素进行检验,然后跨领域进行检验。
在纳入的356052名参与者中,197036名(55.3%)为女性,基线时的平均(标准差)年龄为54.6(7.0)岁。在2891409人年的随访期间,观察到485例YOD发病病例(485名男性中的251例[51.8%]),发病率为每100000人年16.8例(95%置信区间,15.4 - 18.3)。在最终模型中,15个因素与较高的YOD风险显著相关,即正规教育程度较低、社会经济地位较低、携带2个载脂蛋白ε4等位基因、不饮酒、酒精使用障碍、社会隔离、维生素D缺乏、C反应蛋白水平高、握力较低、听力障碍、体位性低血压、中风、糖尿病、心脏病和抑郁。
在本研究中,几个因素,大多是可改变的,与较高的YOD风险相关。这些可改变的风险因素应纳入未来的痴呆预防举措中,并为YOD带来新的治疗可能性。