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General and abdominal adiposity and the risk of Parkinson's disease : A prospective cohort study

Riso, Lukas ; Kaaks, Rudolf ; Kühn, Tilman ; Sookthai, Disorn ; Forsgren, Lars ; Trupp, Miles ; Trichopoulou, Antonia ; La Vecchia, Carlo ; Karakatsani, Anna and Gavrila, Diana , et al. (2019) In Parkinsonism and Related Disorders 62. p.98-104
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... (More)

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.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
BMI, Cohort, EPIC, Overweight, Parkinson, Smoking
in
Parkinsonism and Related Disorders
volume
62
pages
98 - 104
publisher
Elsevier
external identifiers
  • scopus:85061376547
  • pmid:30772279
ISSN
1353-8020
DOI
10.1016/j.parkreldis.2019.01.019
language
English
LU publication?
yes
id
8dad66d1-99ab-44dc-8ec8-f3dc96a4470f
date added to LUP
2019-02-22 14:35:20
date last changed
2024-02-14 18:31:13
@article{8dad66d1-99ab-44dc-8ec8-f3dc96a4470f,
  abstract     = {{<p>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.</p>}},
  author       = {{Riso, Lukas and Kaaks, Rudolf and Kühn, Tilman and Sookthai, Disorn and Forsgren, Lars and Trupp, Miles and Trichopoulou, Antonia and La Vecchia, Carlo and Karakatsani, Anna and Gavrila, Diana and Ferrari, Pietro and Freisling, Heinz and Petersson, Jesper and Lewan, Susanne and Vermeulen, Roel CH and Panico, Salvatore and Masala, Giovanna and Ardanaz, Eva and Krogh, Vittorio and Perneczky, Robert G. and Middleton, Lefkos T. and Mokoroa, Olatz and Sacerdote, Carlotta and Sieri, Sabrina and Hayat, Shabina A. and Brayne, Carol and Riboli, Elio and Vineis, Paolo and Gallo, Valentina and Katzke, Verena A.}},
  issn         = {{1353-8020}},
  keywords     = {{BMI; Cohort; EPIC; Overweight; Parkinson; Smoking}},
  language     = {{eng}},
  month        = {{02}},
  pages        = {{98--104}},
  publisher    = {{Elsevier}},
  series       = {{Parkinsonism and Related Disorders}},
  title        = {{General and abdominal adiposity and the risk of Parkinson's disease : A prospective cohort study}},
  url          = {{http://dx.doi.org/10.1016/j.parkreldis.2019.01.019}},
  doi          = {{10.1016/j.parkreldis.2019.01.019}},
  volume       = {{62}},
  year         = {{2019}},
}