Consumption of milk and other dairy products and incidence of Parkinson’s disease: a prospective cohort study in French women

IF 7.7 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH European Journal of Epidemiology Pub Date : 2024-09-18 DOI:10.1007/s10654-024-01152-2
Mariem Hajji‑Louati, Berta Portugal, Emmanuelle Correia, Nasser Laouali, Pei-Chen Lee, Fanny Artaud, Emmanuel Roze, Francesca Romana Mancini, Alexis Elbaz
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Abstract

Previous studies showed positive associations between milk intake and Parkinson’s disease (PD) in men but not in women, but few studies were available in women. Due to the long prodromal PD phase, reverse causation represents a major threat to investigations of diet in PD; cohort studies with a long follow-up are needed. We investigated associations between intake of milk and other dairy products with PD incidence in women from the E3N cohort study (1993–2018). PD diagnoses were validated using medical records and drug claim databases. Diet was assessed via a dietary questionnaire. Hazard ratios (HR) were estimated using multivariable Cox regression models. Exposures were lagged by 5y in main analyses and longer lags in sensitivity analyses. We examined the impact of adjustment for premotor symptoms (constipation/depression). During a mean follow-up of 18.8y, 845 of 71,542 women developed PD. Main analyses showed a J-shaped association between total milk intake and PD (P-non linearity = 0.045), with a significant linear positive association among drinkers (HR/1-SD = 1.09, 95% CI = 1.01–1.18, P = 0.024), that was explained in secondary analyses by a different pattern of association for plain milk (alone or with cereals) and milk added to drinks (tea/coffee/chicory). PD incidence increased significantly with plain milk consumption (HR/1-SD = 1.08 [1.02–1.14], P = 0.014). A U-shaped relation was observed for milk added to drinks (P-non linearity = 0.038), with lower PD incidence in women with moderate consumption (HR = 0.77 [0.61–0.97], P = 0.030) and no difference between non-drinkers and those with the highest consumption (HR = 0.98 [0.79–1.21], P = 0.848). Findings were similar in analyses using longer lags and adjusted for constipation/depression. Consumption of other dairy products was not associated with PD. A J-shaped association between total milk intake and PD was explained by a different pattern of association for plain milk intake and milk added to drinks. Reverse causation is unlikely to explain a positive association of plain milk with PD incidence in women. The U-shaped relation for milk added to drinks could be explained by an interaction between milk and coffee/tea/chicory. Further studies are warranted to elucidate the underlying mechanisms.

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牛奶和其他乳制品的消费与帕金森病的发病率:法国妇女的前瞻性队列研究
以往的研究表明,男性牛奶摄入量与帕金森病(PD)呈正相关,而女性则不然,但针对女性的研究却很少。由于帕金森病的前驱期较长,反向因果关系对帕金森病的饮食调查构成了重大威胁;因此需要进行长期随访的队列研究。我们调查了 E3N 队列研究(1993-2018 年)中女性牛奶和其他乳制品摄入量与帕金森病发病率之间的关系。通过医疗记录和药物索赔数据库验证了多发性硬化症的诊断。饮食通过饮食调查问卷进行评估。使用多变量 Cox 回归模型估算危险比 (HR)。在主要分析中,暴露滞后 5 年;在敏感性分析中,暴露滞后更长。我们研究了对运动前症状(便秘/抑郁)进行调整的影响。在平均 18.8 年的随访期间,71542 名女性中有 845 人患上了帕金森病。主要分析表明,牛奶总摄入量与帕金森氏症之间呈 "J "形关联(P-非线性=0.045),饮奶者与帕金森氏症呈显著线性正相关(HR/1-SD=1.09,95% CI=1.01-1.18,P=0.024)。白内障发病率随饮用纯牛奶而明显增加(HR/1-SD = 1.08 [1.02-1.14],P = 0.014)。添加到饮料中的牛奶呈U型关系(P-非线性=0.038),适量饮用的妇女PD发病率较低(HR=0.77 [0.61-0.97],P=0.030),不饮用者与最高饮用者之间无差异(HR=0.98 [0.79-1.21],P=0.848)。在使用较长滞后期并根据便秘/抑郁情况进行调整的分析中,结果与之相似。其他乳制品的摄入与腹泻症无关。牛奶总摄入量与帕金森氏症之间呈 "J "形关联的原因是纯牛奶摄入量与添加到饮料中的牛奶摄入量之间的关联模式不同。反向因果关系不太可能解释纯牛奶与女性渐冻症发病率之间的正相关关系。添加到饮料中的牛奶的U型关系可解释为牛奶与咖啡/茶/菊苣之间的相互作用。我们有必要开展进一步研究,以阐明其潜在机制。
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来源期刊
European Journal of Epidemiology
European Journal of Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
21.40
自引率
1.50%
发文量
109
审稿时长
6-12 weeks
期刊介绍: The European Journal of Epidemiology, established in 1985, is a peer-reviewed publication that provides a platform for discussions on epidemiology in its broadest sense. It covers various aspects of epidemiologic research and statistical methods. The journal facilitates communication between researchers, educators, and practitioners in epidemiology, including those in clinical and community medicine. Contributions from diverse fields such as public health, preventive medicine, clinical medicine, health economics, and computational biology and data science, in relation to health and disease, are encouraged. While accepting submissions from all over the world, the journal particularly emphasizes European topics relevant to epidemiology. The published articles consist of empirical research findings, developments in methodology, and opinion pieces.
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