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@ARTICLE{Riso:144482,
      author       = {L. Riso$^*$ and R. Kaaks$^*$ and T. Kühn$^*$ and D.
                      Sookthai$^*$ and L. Forsgren and M. Trupp and A.
                      Trichopoulou and C. La Vecchia and A. Karakatsani and D.
                      Gavrila and P. Ferrari and H. Freisling and J. Petersson and
                      S. Lewan and R. C. Vermeulen and S. Panico and G. Masala and
                      E. Ardanaz and V. Krogh and R. Perneczky and L. T. Middleton
                      and O. Mokoroa and C. Sacerdote and S. Sieri and S. A. Hayat
                      and C. Brayne and E. Riboli and P. Vineis and V. Gallo and
                      V. Katzke$^*$},
      title        = {{G}eneral and abdominal adiposity and the risk of
                      {P}arkinson's disease: {A} prospective cohort study.},
      journal      = {Parkinsonism $\&$ related disorders},
      volume       = {62},
      issn         = {1353-8020},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2019-01933},
      pages        = {98 - 104},
      year         = {2019},
      abstract     = {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.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.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.Our data revealed no association between excess weight
                      and PD risk but a possible interaction between
                      anthropometry, sex and smoking.},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30772279},
      doi          = {10.1016/j.parkreldis.2019.01.019},
      url          = {https://inrepo02.dkfz.de/record/144482},
}