Huang Fei, Hao Jingwen, Chen Chanjuan, Liu Qun, He Dan
Department of Neurology, The First Hospital of Changsha, Changsha, China.
Front Aging Neurosci. 2025 Apr 17;17:1510654. doi: 10.3389/fnagi.2025.1510654. eCollection 2025.
This study aimed to investigate the relationship between the Composite Dietary Antioxidant Index (CDAI) and the prevalence of Parkinson's disease (PD), as well as to explore its relationship with all-cause mortality risk in PD patients.
Data from the National Health and Nutrition Examination Survey (NHANES) database spanning from 2007 to 2018 were used, including 119,609 participants. After excluding individuals aged <18 years, those with incomplete follow-up data, and those missing critical variables such as CDAI and covariates, the final cohort consisted of 34,133 participants. Participants were categorized into a PD group (510 individuals) and a non-PD group (33,623 individuals). The CDAI values were calculated, and participants were divided into three groups based on the tertile distribution of their CDAI scores: Q1 (CDAI < -1.07), Q2 (-1.07 to 1.74), and Q3 (CDAI >1.74). Weighted logistic regression and weighted Cox regression analyses were employed to evaluate the associations between CDAI and the prevalence of PD, as well as between CDAI and all-cause mortality risk. Restricted cubic spline regression analysis was used to further elucidate the precise relationship between CDAI and outcome events.
CDAI values were significantly lower in the PD group compared to the non-PD group. After adjusting for age, sex, comorbid conditions (hypertension and diabetes), blood lipid and glucose levels, a reduction in CDAI was associated with an increased risk of PD (Q3 vs. Q1, OR = 0.72, = 0.035). In patients with PD, a decrease in CDAI was significantly associated with a higher risk of all-cause mortality (Q3 vs. Q1, HR = 0.53, = 0.018). This association was particularly pronounced in those over 60 years old, smokers, and those with hypertension. Restricted cubic spline regression analysis identified CDAI <0.471 as a risk factor for PD, and CDAI <0.527 as a risk factor for all-cause mortality in PD patients.
CDAI reduction is an independent risk factor for both PD risk in the general population and all-cause mortality in PD patients, with amplified predictive power in older adults, smokers, and hypertensive individuals. Our findings support developing personalized antioxidant-enhancing nutritional interventions for both high-risk populations with suboptimal CDAI and established PD patients.
本研究旨在调查复合膳食抗氧化指数(CDAI)与帕金森病(PD)患病率之间的关系,并探讨其与PD患者全因死亡风险的关系。
使用了2007年至2018年美国国家健康与营养检查调查(NHANES)数据库中的数据,包括119,609名参与者。在排除年龄<18岁的个体、随访数据不完整的个体以及缺少CDAI和协变量等关键变量的个体后,最终队列由34,133名参与者组成。参与者被分为PD组(510人)和非PD组(33,623人)。计算CDAI值,并根据CDAI得分的三分位数分布将参与者分为三组:Q1(CDAI < -1.07)、Q2(-1.07至1.74)和Q3(CDAI >1.74)。采用加权逻辑回归和加权Cox回归分析来评估CDAI与PD患病率之间以及CDAI与全因死亡风险之间的关联。使用受限立方样条回归分析进一步阐明CDAI与结局事件之间的精确关系。
与非PD组相比,PD组的CDAI值显著更低。在调整年龄、性别、合并症(高血压和糖尿病)、血脂和血糖水平后,CDAI降低与PD风险增加相关(Q3与Q1相比,OR = 0.72,P = 0.035)。在PD患者中,CDAI降低与全因死亡风险显著增加相关(Q3与Q1相比,HR = 0.53,P = 0.018)。这种关联在60岁以上的人群、吸烟者和高血压患者中尤为明显。受限立方样条回归分析确定CDAI <0.471为PD的危险因素,CDAI <0.527为PD患者全因死亡的危险因素。
CDAI降低是一般人群中PD风险和PD患者全因死亡的独立危险因素,在老年人、吸烟者和高血压个体中具有更强的预测能力。我们的研究结果支持为CDAI欠佳的高危人群和已确诊的PD患者制定个性化的增强抗氧化剂的营养干预措施。