General and abdominal adiposity and the risk of parkinson's disease.A prospective chort study
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Accepted version
Author(s)
Type
Journal Article
Abstract
Introduction
Due to demographic change, an increase in the frequency of Parkinson's disease (PD) patients is expected in the future and, thus, the identification of modifiable risk factors is urgently needed. We aimed to examine the associations of body mass index (BMI) and waist circumference (WC) with incident PD.
Methods
In 13 of the 23 centers of the European Prospective Investigation into Cancer and Nutrition (EPIC) study, a total of 734 incident cases of PD were identified between 1992 and 2012 with a mean follow-up of 12 years. Cox proportional hazards regression was used to calculate hazard ratios (HR) with 95% confidence intervals (CI). We modelled anthropometric variables as continuous and categorical exposures and performed subgroup analyses by potential effect modifiers including sex and smoking.
Results
We found no association between BMI, WC and incident PD, neither among men nor among women. Among never and former smokers, BMI and waist circumference were also not associated with PD risk. For male smokers, however, we observed a statistically significant inverse association between BMI and PD risk (HR 0.51, 95%CI: 0.30, 0.84) and the opposite for women, i.e. a significant direct association of BMI (HR 1.79, 95%CI: 1.04, 3.08) and waist circumference (HR 1.64, 95%CI: 1.03, 2.61) with risk of PD.
Conclusion
Our data revealed no association between excess weight and PD risk but a possible interaction between anthropometry, sex and smoking.
Due to demographic change, an increase in the frequency of Parkinson's disease (PD) patients is expected in the future and, thus, the identification of modifiable risk factors is urgently needed. We aimed to examine the associations of body mass index (BMI) and waist circumference (WC) with incident PD.
Methods
In 13 of the 23 centers of the European Prospective Investigation into Cancer and Nutrition (EPIC) study, a total of 734 incident cases of PD were identified between 1992 and 2012 with a mean follow-up of 12 years. Cox proportional hazards regression was used to calculate hazard ratios (HR) with 95% confidence intervals (CI). We modelled anthropometric variables as continuous and categorical exposures and performed subgroup analyses by potential effect modifiers including sex and smoking.
Results
We found no association between BMI, WC and incident PD, neither among men nor among women. Among never and former smokers, BMI and waist circumference were also not associated with PD risk. For male smokers, however, we observed a statistically significant inverse association between BMI and PD risk (HR 0.51, 95%CI: 0.30, 0.84) and the opposite for women, i.e. a significant direct association of BMI (HR 1.79, 95%CI: 1.04, 3.08) and waist circumference (HR 1.64, 95%CI: 1.03, 2.61) with risk of PD.
Conclusion
Our data revealed no association between excess weight and PD risk but a possible interaction between anthropometry, sex and smoking.
Date Issued
2019-05
Date Acceptance
2019-01-22
Citation
Parkinsonism and Related Disorders, 2019, 62, pp.98-104
ISSN
1353-8020
Publisher
Elsevier
Start Page
98
End Page
104
Journal / Book Title
Parkinsonism and Related Disorders
Volume
62
Copyright Statement
© 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Commission of the European Communities
Michael J Fox Foundation
Identifier
https://www.sciencedirect.com/science/article/pii/S1353802019300197?via%3Dihub
Grant Number
SP23-CT-2005-006438
MJFF Research grant 2010 prog
Subjects
Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Neurosciences & Neurology
Parkinson
Overweight
BMI
Smoking
Cohort
EPIC
BODY-MASS INDEX
CIGARETTE-SMOKING
OBESITY
WEIGHT
CANCER
BMI
Cohort
EPIC
Overweight
Parkinson
Smoking
Neurology & Neurosurgery
1103 Clinical Sciences
1702 Cognitive Sciences
Publication Status
Published
Date Publish Online
2019-02-08