Department of Nuclear Medicine and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, 610041, Chengdu, China.
Med-X Center for Informatics, Sichuan University, Guo Xue Lane 37, 610041, Chengdu, China.
Alzheimers Res Ther. 2024 Oct 15;16(1):225. doi: 10.1186/s13195-024-01592-8.
Multiple psychosocial factors have been associated with dementia, while the individual or joint effects of various psychosocial states on dementia remain unrevealed due to the complex interplay between those factors. Here, the authors examined the associations of psychosocial factors and patterns with subsequent risk of dementia, and if the associations could be modified by genetic susceptibility to dementia.
UK Biobank dementia-free participants were followed from one year after recruitment (median date: 24 January, 2010) until 31 October, 2022. Psychosocial states were measured by 22 items related to five dimensions, including psychiatric history, recent stressful life events, current psychiatric symptoms, social contact, and individual socioeconomic state. We identified clusters of individuals with distinct psychosocial patterns using latent class analysis. Cox proportional hazards models were used to evaluate the association between psychosocial items, as well as psychosocial patterns, and risk of dementia. We further performed stratification analyses by apolipoprotein E (APOE) genotype, polygenic risk score (PRS) of dementia, and family history of dementia.
Of 497,787 included participants, 54.54% were female. During a median follow-up of 12.70 years, we identified 9,858 (1.98%) patients with newly diagnosed dementia. We identified seven clusters with distinct psychosocial patterns. Compared to individuals with a pattern of 'good state', individuals with other unfavorable patterns, featured by varying degrees of poor psychological state ('fair state' and 'mildly, moderately, and extremely poor psychological state'), low social contact or socioeconomic state ('living alone' and 'short education years'), were all at an increased risk of dementia (hazard ratios [HR] between 1.29 and 2.63). The observed associations showed no significant differences across individuals with varying APOE genotypes, levels of PRS, and family histories of dementia.
Unfavorable psychosocial patterns are associated with an increased risk of dementia, independent of genetic susceptibility. The findings highlight the importance of surveillance and prevention of cognitive decline among individuals with suboptimal psychosocial state.
多种社会心理因素与痴呆有关,由于这些因素之间的复杂相互作用,各种社会心理状态对痴呆的单独或联合影响仍不清楚。在这里,作者研究了社会心理因素和模式与随后痴呆风险的关系,如果这些关系可以通过对痴呆的遗传易感性来改变。
英国生物银行无痴呆参与者从招募后一年(中位日期:2010 年 1 月 24 日)开始随访,直到 2022 年 10 月 31 日。通过与五个维度相关的 22 个项目来测量社会心理状态,包括精神病史、近期生活压力事件、当前精神症状、社会联系和个体社会经济状况。我们使用潜在类别分析确定具有不同社会心理模式的个体集群。使用 Cox 比例风险模型评估社会心理项目以及社会心理模式与痴呆风险之间的关系。我们进一步按载脂蛋白 E (APOE) 基因型、痴呆多基因风险评分 (PRS) 和痴呆家族史进行分层分析。
在纳入的 497787 名参与者中,54.54%为女性。在中位随访 12.70 年期间,我们发现了 9858 名(1.98%)新诊断为痴呆的患者。我们确定了具有不同社会心理模式的七个集群。与“良好状态”个体相比,具有不同程度不良心理状态(“一般状态”和“轻度、中度和极度不良心理状态”)、社会联系或社会经济状态较差(“独居”和“受教育年限较短”)的其他不良模式个体患痴呆的风险增加(风险比 [HR] 在 1.29 到 2.63 之间)。在具有不同 APOE 基因型、PRS 水平和痴呆家族史的个体中,观察到的关联没有显著差异。
不良的社会心理模式与痴呆风险增加相关,与遗传易感性无关。研究结果强调了对处于亚最佳社会心理状态的个体进行认知能力下降监测和预防的重要性。