Overview
flowchart TD
clinical_trials_modifiable_var["Modifiable Variables in Parkinsonism Study"]
style clinical_trials_modifiable_var fill:#4fc3f7,stroke:#333,color:#000
clinical_trials_modi_0["Study Details"]
clinical_trials_modifiable_var -->|"includes"| clinical_trials_modi_0
style clinical_trials_modi_0 fill:#81c784,stroke:#333,color:#000
clinical_trials_modi_1["Risk Factors Overview"]
clinical_trials_modifiable_var -->|"includes"| clinical_trials_modi_1
style clinical_trials_modi_1 fill:#ef5350,stroke:#333,color:#000
clinical_trials_modi_2["Non-Modifiable Factors"]
clinical_trials_modifiable_var -->|"includes"| clinical_trials_modi_2
style clinical_trials_modi_2 fill:#ffd54f,stroke:#333,color:#000
clinical_trials_modi_3["Potentially Modifiable Factors"]
clinical_trials_modifiable_var -->|"includes"| clinical_trials_modi_3
style clinical_trials_modi_3 fill:#ce93d8,stroke:#333,color:#000
clinical_trials_modi_4["Potentially Protective Factors"]
clinical_trials_modifiable_var -->|"includes"| clinical_trials_modi_4
style clinical_trials_modi_4 fill:#4fc3f7,stroke:#333,color:#000
clinical_trials_modi_5["Study Objectives"]
clinical_trials_modifiable_var -->|"includes"| clinical_trials_modi_5
style clinical_trials_modi_5 fill:#81c784,stroke:#333,color:#000
...
Overview
Mermaid diagram (expand to render)
This observational study investigates modifiable lifestyle and environmental factors that may influence the risk, progression, and severity of [Parkinson's disease](/diseases/parkinsons-disease) and related disorders, including [Progressive Supranuclear Palsy](/diseases/progressive-supranuclear-palsy), [Multiple System Atrophy](/diseases/multiple-system-atrophy), and [Corticobasal Degeneration](/diseases/corticobasal-degeneration)[@kalia_2015].
While genetic factors contribute to Parkinson's disease risk, the majority of cases are sporadic, suggesting that environmental and lifestyle factors play a significant role["@noyce_2012"]. This study aims to characterize these modifiable factors to identify potential prevention strategies and disease-modifying interventions["@foltynie_2021"].
[Parkinson's disease](/diseases/parkinsons-disease) affects approximately 1-2% of the population over 65 years, rising to 3-5% in those over 85[@jankovic_2020]. The global prevalence is estimated at over 10 million people. Key epidemiological features include:
Slight male predominance (1.5:1 ratio)
Typical onset between 50-70 years
Increasing incidence with age
Geographic variation in prevalence
Study Details | Parameter | Value | |-----------|-------| | NCT Number | NCT02194816 | | Status | Recruiting | | Study Type | Observational | | Conditions | Parkinson's Disease, PSP, MSA, CBS | | Sites | United States (multiple centers) | | Enrollment | Target: Multiple participants | | Start Date | 2014 |
Risk Factors Overview Multiple factors influence Parkinson's disease risk[@bellou_2016]:
Non-Modifiable Factors
Age (strongest risk factor)
Male sex
Genetic susceptibility (family history, specific genes)
Ethnic background
Potentially Modifiable Factors
Pesticide exposure
Head trauma
Dairy product consumption
Psychological stress
Potentially Protective Factors
Caffeine consumption
Physical activity
Smoking (controversial - nicotine vs. confounding)
Alcohol consumption (moderate)
Anti-inflammatory drug use
Study Objectives
Primary Objectives
Characterize Lifestyle Factors
Document caffeine and nicotine use
Assess physical activity levels
Evaluate dietary patterns
Record medication history
Assess Environmental Exposures
Occupational history
Pesticide exposure assessment
Living environment
Water source
Correlate with Clinical Outcomes
Disease severity measures
Progression rates
Motor and non-motor symptoms
Treatment response
Identify Intervention Targets
Risk factor quantification
Protective factor validation
Target population identification
Secondary Objectives
Evaluate gender-specific effects
Assess age-of-onset relationships
Characterize gene-environment interactions
Develop risk prediction models
Assessment Areas
Caffeine and Nicotine Use Epidemiological studies consistently show inverse associations between caffeine consumption and Parkinson's disease risk[@hernandez_2019]:
Coffee consumption: 30-60% risk reduction in meta-analyses
Tea consumption: similar inverse association
Caffeine dose-response relationship
Potential neuroprotective mechanisms:
Adenosine A2A receptor antagonism
Antioxidant effects
Anti-inflammatory properties
Nicotine has also been studied extensively[@polman_2012]:
Historical smoking association with reduced PD risk
Contributes to inverse association in some studies
Confounded by lifestyle factors
Nicotinic receptor modulation as therapeutic target
Physical Activity Exercise and physical activity have emerged as potentially disease-modifying interventions[@chen_2019]:
Regular exercise associated with 30-50% risk reduction
Mechanisms include:
Neurotrophic factor upregulation
Mitochondrial function improvement
Neuroinflammation reduction
Alpha-synuclein clearance enhancement
Recommended exercise types:
Aerobic exercise
Balance training
Resistance training
Dance-based therapies
Dietary Patterns Nutritional factors influence Parkinson's disease risk[@gao_2011]:
Potentially Protective:
Mediterranean diet
Omega-3 fatty acids
Fruits and vegetables
Antioxidant-rich foods
Potentially Risk-Increasing:
High dairy intake
Saturated fats
Processed foods
Mediterranean Diet Evidence [@delenord_2019]:
Associated with lower PD risk
Benefits from anti-inflammatory effects
Rich in polyphenols and antioxidants
Medication History Certain medications may modify Parkinson's disease risk:
Statins : Conflicting evidence - some studies show reduced risk[@logroscino_2018]
NSAIDs : Mixed results for anti-inflammatory effects
Beta-blockers : Theoretical benefits via adrenergic modulation
Calcium channel blockers : Some protective signals
Occupational Exposures Pesticide and chemical exposures represent significant risk factors[@ascherio_2016]:
Pesticide Exposure
Herbicides : Paraquat, rotenone
Insecticides : Organophosphates, pyrethroids
Fungicides : Maneb, mancozeb
Mechanisms of neurotoxicity [@tanner_2011]:
Mitochondrial complex I inhibition
Oxidative stress induction
Alpha-synuclein aggregation promotion
Dopaminergic neuron selectivity
Occupations at Risk
Agricultural workers
Pesticide applicators
Farm managers
Greenhouse workers
Protective Measures:
Personal protective equipment
Engineering controls
Safe handling practices
Rotation of duties
Clinical Measures
Movement Disorder Assessments
MDS-UPDRS (Movement Disorder Society-Unified Parkinson's Disease Rating Scale) The gold-standard assessment tool:
Part I: Non-motor experiences of daily living
Part II: Motor experiences of daily living
Part III: Motor examination
Part IV: Motor complications
Hoehn and Yahr Staging
Stage 0: No signs of disease
Stage 1: Unilateral involvement
Stage 1.5: Unilateral and axial involvement
Stage 2: Bilateral involvement without impairment
Stage 2.5: Mild bilateral disease with recovery on pull test
Stage 3: Mild to moderate disease, some postural instability
Stage 4: Severe disability, still able to walk/stand
Stage 5: Wheelchair-bound or bedridden
PSP Rating Scale (PSPRS) For PSP and related disorders:
Gait and mobility
Ocular motor dysfunction
Dysphagia
Cortical dysfunction
Axonal rigidity
Non-Motor Assessments
Cognitive Testing
Montreal Cognitive Assessment (MoCA)
Trail Making Test
Word fluency
Memory recall
Psychiatric Evaluation
Beck Depression Inventory
State-Trait Anxiety Inventory
apathy assessment
Sleep Assessment
REM sleep behavior disorder questionnaire
Epworth Sleepiness Scale
Polysomnography when indicated
Quality of Life Measures
Parkinson's Disease Questionnaire-39 (PDQ-39)
SF-36 Health Survey
Caregiver burden scales
Eligibility Criteria
Inclusion Criteria
Diagnosis of Parkinsonian Syndrome
Clinical diagnosis of Parkinson's disease, PSP, MSA, or CBS
UK Brain Bank criteria or equivalent
Progressive disease course
Age Requirements
Age 40-90 years
Disease duration any stage
Ability to Participate
Able to complete questionnaires
Available for study visits
Informed consent obtained
Exclusion Criteria
Secondary Parkinsonism
Drug-induced parkinsonism
Vascular parkinsonism
Normal pressure hydrocephalus
Medical Contraindications
Unable to complete study procedures
Terminal illness
Severe cognitive impairment preventing consent
Study Design
Cross-Sectional Components
Baseline lifestyle questionnaire
Environmental exposure assessment
Clinical phenotype characterization
Longitudinal Components
Annual follow-up assessments
Disease progression tracking
Change in exposure status documentation
Data Collection Methods
Interviewer-administered questionnaires
Self-administered diaries
Medical record review
Biological sample collection
Understanding Disease Mechanisms This study contributes to understanding how environmental factors influence neurodegenerative processes:
Gene-Environment Interactions
How genetic susceptibility modifies environmental risk
Epigenetic modifications from exposures
Mechanistic Insights
Identification of environmental triggers
Understanding of protective mechanisms
Prevention Strategies Identifying modifiable risk factors enables development of prevention strategies[@kieburtz_2019]:
Primary Prevention
Reducing pesticide exposure
Promoting physical activity
Dietary modifications
Secondary Prevention (Early Intervention)
Early identification of prodromal markers
Intervention before significant neurodegeneration
Disease Modification
Targeting mechanisms influenced by lifestyle
Complementing pharmacological approaches
Clinical Trial Implications
Risk Factor Modification : Lifestyle interventions as adjuncts to pharmacological treatments
Endpoint Selection : Environmental factors affecting progression
Patient Stratification : Exposure-based phenotyping
Neuroprotective Trials : Environmental modifiers as targets
Limitations and Challenges
Observational Design
Cannot establish causality
Potential for confounding
Recall bias in exposure assessment
Exposure Assessment
Latency between exposure and disease
Difficulty quantifying exposures
Recall limitations
Generalizability
Geographic specificity
Referral bias
Cohort representativeness
Parkinson's Disease Pathogenesis
[Alpha-synuclein Aggregation](/mechanisms/alpha-synuclein-aggregation)
[Mitochondrial Dysfunction](/mechanisms/mitochondrial-dysfunction)
[Neuroinflammation](/mechanisms/neuroinflammation)
[Oxidative Stress](/mechanisms/oxidative-stress)
Protective Mechanisms
[Exercise-Induced Neuroprotection](/mechanisms/exercise-neuroprotection)
[Caffeine Neuroprotection](/mechanisms/caffeine-neuroprotection)
[Antioxidant Defense](/mechanisms/antioxidant-defense)
Risk Factors
[Pesticide-Induced Neurodegeneration](/mechanisms/pesticide-neurotoxicity)
[Traumatic Brain Injury](/mechanisms/tbi-neurodegeneration)
See Also
[Parkinson's Disease](/diseases/parkinsons-disease)
[Progressive Supranuclear Palsy](/diseases/progressive-supranuclear-palsy)
[Multiple System Atrophy](/diseases/multiple-system-atrophy)
[Corticobasal Degeneration](/diseases/corticobasal-degeneration)
[Environmental Risk Factors](/mechanisms/environmental-risk-factors)
[Lifestyle and Neurodegeneration](/mechanisms/lifestyle-neurodegeneration)
External Links
[ClinicalTrials.gov NCT02194816](https://clinicaltrials.gov/study/NCT02194816)
[Michael J. Fox Foundation](https://www.michaeljfox.org)
[Parkinson's Foundation](https://www.parkinson.org)
References
[ClinicalTrials.gov NCT02194816](https://clinicaltrials.gov/study/NCT02194816)[@nct02194816]
[Ascherio et al., Pesticide exposure and risk of Parkinson disease (2016)](https://pubmed.ncbi.nlm.nih.gov/27481211/)[@ascherio_2016]
[Hernandez et al., Caffeine and Parkinson's disease (2019)](https://pubmed.ncbi.nlm.nih.gov/30666636/)[@hernandez_2019]
[Polman et al., Smoking and Parkinson's disease (2012)](https://pubmed.ncbi.nlm.nih.gov/22729864/)[@polman_2012]
[Chen et al., Physical activity and Parkinson's disease (2019)](https://pubmed.ncbi.nlm.nih.gov/31721955/)[@chen_2019]
[Gao et al., Diet and Parkinson's disease (2011)](https://pubmed.ncbi.nlm.nih.gov/21671250/)[@gao_2011]
[Kieburtz et al., Neuroprotection in Parkinson's disease (2019)](https://pubmed.ncbi.nlm.nih.gov/31286842/)[@kieburtz_2019]
[Noyce et al., Meta-analysis of Parkinson's disease risk factors (2012)](https://pubmed.ncbi.nlm.nih.gov/22653198/)[@noyce_2012]
[Bellou et al., Environmental risk factors for Parkinson's disease (2016)](https://pubmed.ncbi.nlm.nih.gov/26896655/)[@bellou_2016]
[Kalia et al., Parkinson's disease: clinical practice (2015)](https://pubmed.ncbi.nlm.nih.gov/25904018/)[@kalia_2015]
[Tanner et al., Rotenone and Parkinson's disease (2011)](https://pubmed.ncbi.nlm.nih.gov/21398046/)[@tanner_2011]
[Jankovic et al., Parkinson's disease: current challenges (2020)](https://pubmed.ncbi.nlm.nih.gov/32676629/)[@jankovic_2020]
[Postema et al., Gait and balance in PD (2019)](https://pubmed.ncbi.nlm.nih.gov/31029513/)[@postema_2019]
[Williams et al., Occupational pesticide exposure (2020)](https://pubmed.ncbi.nlm.nih.gov/32940602/)[@williams_2020]
[Haaxma et al., Gender differences in Parkinson's disease (2007)](https://pubmed.ncbi.nlm.nih.gov/17437064/)[@haaxma_2007]
[Foltynie et al., Modifiable factors in Parkinson's disease (2021)](https://pubmed.ncbi.nlm.nih.gov/34717598/)[@foltynie_2021]
[Pfeiffer, Mitochondrial dysfunction in Parkinson's disease (2013)](https://pubmed.ncbi.nlm.nih.gov/23978890/)[@pfeiffer_2013]
[Pavese, Occupational epidemiology and Parkinson's disease (2010)](https://pubmed.ncbi.nlm.nih.gov/20483818/)[@pavese_2010]
[Delenord et al., Mediterranean diet and Parkinson's disease (2019)](https://pubmed.ncbi.nlm.nih.gov/30859967/)[@delenord_2019]
[Logroscino et al., Statins and Parkinson's disease (2018)](https://pubmed.ncbi.nlm.nih.gov/30367306/)[@logroscino_2018]
Show full description