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Incidence of Parkinson’s disease in French women from the E3N cohort study over 27 years of follow-up

Abstract : Parkinson’s disease (PD) is an uncommon disease with a long prodromal period and higher incidence in men than women. Large cohort studies of women with a long follow-up are needed. Within the E3N French cohort study (98,995 women, 40–65 years at baseline), we identified 3,584 participants who self-reported PD or used anti-parkinsonian drugs over 27 years (1992–2018). We obtained medical records to validate PD diagnosis (definite, probable, possible, no). When medical records were not available, we used a validated algorithm based on drug claims to predict PD status. We retained a PD diagnosis for 1,294 women (medical records, 62%; algorithm, 38%). After exclusion of prevalent/possible cases, cases without age at diagnosis, and women lost to follow-up, our analyses included 98,069 women, of whom 1,200 had incident PD (mean age at diagnosis = 71.8 years; incidence rate = 0.494/1,000 person-years). Age-adjusted incidence rates increased over the six first years of follow-up, possibly due to healthy volunteer bias, and remained stable thereafter, similar to incidence rates in women from Western Europe. Forty three percent of PD cases occurred after 20 years of follow-up (2012–2018). The cumulative incidence of PD from 50 to 90 years was 2.41% (95% confidence interval [CI] = 2.27–2.65). PD incidence was lower in ever than never smokers (hazard ratio = 0.86, 95% CI = 0.76–0.96). In conclusion, we estimated PD incidence rates in French women over a 27-year follow-up, and showed stable incidence between 2002 and 2018. The long follow-up and large sample size make this study a valuable resource to improve our knowledge on PD etiology in women.
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Submitted on : Tuesday, March 22, 2022 - 6:33:33 PM
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Marianne Canonico, Fanny Artaud, Isabelle Degaey, Frédéric Moisan, Rahime Kabore, et al.. Incidence of Parkinson’s disease in French women from the E3N cohort study over 27 years of follow-up. European Journal of Epidemiology, Springer Verlag, 2022, ⟨10.1007/s10654-022-00851-y⟩. ⟨hal-03616761⟩



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