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Updated: Feb 12, 2026

Author Spotlight: Establishing a New Fluorescence-Based Protocol for In Vivo Mitochondrial Morphology Analysis in Parkinson's Disease
Published on: June 23, 2023
Integration of risk factors for Parkinson disease in 2 large longitudinal cohorts
Iris Y Kim1, Éilis J O'Reilly2, Katherine C Hughes2
1From the Departments of Epidemiology (I.Y.K., A.A.), Nutrition (É.J.O., K.C.H., A.A.), and Biostatistics (R.A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; School of Public Health (É.J.O.), University College Cork, Ireland; Channing Division of Network Medicine (A.A.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Nutritional Sciences (X.G.), The Pennsylvania State University, University Park; MassGeneral Institute for Neurodegenerative Disease (M.A.S.), Massachusetts General Hospital, Boston; The Institute for Aging Research (M.T.H.), Hebrew Senior Life, Boston; and Department of Medicine (M.T.H.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA. iykim@mail.harvard.edu.
Objective:
To prospectively examine how selected lifestyle factors and family history of Parkinson disease (PD) combine to determine overall PD risk.
Methods:
We derived risk scores among 69,968 women in the Nurses' Health Study (NHS) (1984-2012) and 45,830 men in the Health Professionals Follow-up Study (HPFS) (1986-2012). Risk scores were computed for each individual based on the following factors previously associated with PD risk: total caffeine intake, smoking, physical activity, and family history of PD for the NHS, and additionally total flavonoid intake and dietary urate index for the HPFS. Hazard ratios were estimated using Cox proportional hazards models. In addition, we performed tests of interactions on both the multiplicative and additive scale between pairs of risk factors.
Results:
We documented 1,117 incident PD cases during follow-up. The adjusted hazard ratios comparing individuals in the highest category of the reduced risk score to those in the lowest category were 0.33 (95% confidence interval: 0.21, 0.49; ptrend < 0.0001) in the NHS and 0.18 (95% confidence interval: 0.10, 0.32; ptrend < 0.0001) in the HPFS. Results were similar when applying the risk scores computed by summing the predictors weighted by the log of their individual effect sizes on PD risk in these cohorts. Additive interaction was present between no family history of PD and caffeine in men and between caffeine and physical activity in women.
Conclusions:
Our results suggest that known protective factors for PD tend to have additive or superadditive effects, so that PD risk is very low in individuals with multiple protective risk factors.
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