Higher serum cholesterol and decreased Parkinson's disease risk: A statin-free cohort study

2018 ◽  
Vol 33 (8) ◽  
pp. 1298-1305 ◽  
Author(s):  
Violetta Rozani ◽  
Tanya Gurevich ◽  
Nir Giladi ◽  
Baruch El-Ad ◽  
Judith Tsamir ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cohort Study ◽  
Serum Cholesterol ◽  
Disease Risk

Anemia in men and increased Parkinson's disease risk: A population-based large scale cohort study

2019 ◽  
Vol 64 ◽  
pp. 90-96 ◽  
Author(s):  
Violetta Rozani ◽  
Nir Giladi ◽  
Tanya Gurevich ◽  
Baruch El-Ad ◽  
Judith Tsamir ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cohort Study ◽  
Large Scale ◽  
Disease Risk ◽  
Population Based

Diet Quality and Risk of Parkinson’s Disease: A Prospective Study and Meta-Analysis

2020 ◽  
pp. 1-11
Author(s):  
Yi-Hsuan Liu ◽  
Gordon L. Jensen ◽  
Muzi Na ◽  
Diane C. Mitchell ◽  
G. Craig Wood ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cohort Study ◽  
Confidence Intervals ◽  
Diet Quality ◽  
Dietary Pattern ◽  
Disease Risk ◽  
Meta Analysis ◽  
Cox Proportional Hazards ◽  
Healthy Dietary Pattern

Background: Several dietary components have been shown to be neuroprotective against risk of neurodegeneration. However, limited observational studies have examined the role of overall diet quality on risk of Parkinson’s disease. Objectives: We examined the associations between diet quality and risk of Parkinson’s disease in a prospective cohort study and meta-analysis. Methods: Included in the cohort study were 3,653 participants (1,519 men and 2,134 women; mean age: 81.5 years) in the Geisinger Rural Aging Study longitudinal cohort in Pennsylvania. Diet quality was assessed using a validated dietary screening tool containing 25 food- and behavior-specific questions in 2009. Potential Parkinson’s cases were identified using electronic health records based on ICD9 (332.*), ICD10 (G20), and Parkinson-related treatments. Hazard ratios (HRs) and 95% confidence intervals (CIs) across diet quality tertiles were calculated using Cox proportional hazards models after adjusting for potential confounders. We further performed a meta-analysis by pooling our study with four published papers on this topic. Random-effects model was utilized to calculate the pooled risk ratios and 95% confidence intervals (CIs). Results: During a mean of 6.94 years of follow-up, 47 incident Parkinson’s cases were documented. Having high diet quality at baseline was associated with lower Parkinson’s disease risk (adjusted HR for the highest vs the lowest diet quality tertile = 0.39; 95% CI: 0.17, 0.89; p-trend = 0.02). The meta-analysis including 140,617 individuals also showed that adherence to high diet quality or a healthy dietary pattern was associated with lower risk of Parkinson’s disease (pooled risk ratio = 0.64; 95% CI: 0.49, 0.83). Conclusion: Having high diet quality or a healthy dietary pattern was associated with lower future risk of Parkinson’s disease.

Lifestyle Factors and Parkinson Disease Risk: Korean Nationwide Cohort Study With Repeated Health Screening Data

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012942
Author(s):  
Seo Yeon Yoon ◽  
You Hyun Park ◽  
Hyo Jeong Lee ◽  
Dae Ryong Kang ◽  
Yong Wook Kim
Keyword(s):  
Physical Activity ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cohort Study ◽  
Alcohol Consumption ◽  
Disease Risk ◽  
Lifestyle Factors ◽  
Health Screening ◽  
Disease Development

Objective:Many previous studies, mostly performed in Western countries, on the effects of lifestyle factors on Parkinson’s disease, used baseline lifestyle characteristics without directly accounting for changes in covariate values over time. The objective of this study was to evaluate the association of repeatedly measured lifestyle factors with Parkinson’s disease risk in Korean population.Methods:We conducted a nationwide population-based cohort study. Among 512,836 Koreans in the national health checkup database, we selected individuals who underwent health screening ≥ 3 times between 2002 and 2015 and followed up until December 31, 2015. Parkinson’s disease was defined using the International Classification of Diseases, Tenth Revision code G20 (with ≥ 3 times clinic visits for PD, to increase the diagnostic validity). Data on lifestyle factors such as smoking, alcohol consumption, and physical activity were collected using self-reported questionnaires. Logistic regression analysis with time-dependent covariates using generalized estimation equation models was performed to determine Parkinson’s disease development.Results:During the 14-year follow-up, 2,655 patients developed Parkinson’s disease. Smoking showed a dose-response inverse association with Parkinson’s disease only in males (ex-smoker, Odds ratio [OR] =0.782, 95% confidence interval [CI] 0.713-0.858; current smoker, OR = 0.556, 95% CI 0.488-0.632). Alcohol consumption and regular physical activity were related to reduced Parkinson’s disease development in both sexes; however, alcohol consumption in males (≤ 3 per week, OR=0.717, 95% CI 0.658-0.780; ≥ 4 per week, OR = 0.745, 95% CI 0.644-0.861) and physical activity in females (moderate, OR=0.792, 95% CI 0.748-0.840; vigorous, OR = 0.830, 95% CI 0.756-0.911) had more consistent associations with Parkinson’s disease development compared to those of either sex. Participants with regular health screening showed a consistent relationship between lifestyle factors and Parkinson’s disease development, whereas lifestyle factors in those without regular health screening had a decreased relationship with PD, even smoking habit.Conclusions:Analysis using repeatedly measured lifestyle factors showed an association between lifestyle factors and Parkinson’s disease development. Characteristics of lifestyle data including repeated measurements, timing, or regularity might influence results, and future studies with appropriate lifestyle factors could increase Parkinson’s disease risk prediction.Classification of Evidence:This study provides Class II evidence that smoking, alcohol use, and physical activity are associated with reduced risk of Parkinson's disease in a Korean population

scholarly journals Incident Parkinson’s disease in kidney transplantation recipients: a nationwide population-based cohort study in Korea

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Seon Ha Baek ◽  
Sehoon Park ◽  
Mi-yeon Yu ◽  
Ji Eun Kim ◽  
Sang Hyun Park ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cohort Study ◽  
Parkinson Disease ◽  
Disease Risk ◽  
Population Based ◽  
History Of ◽  
Stage Renal Disease ◽  
End Stage ◽  
Esrd Patients

AbstractThis nation-wide population based retrospective cohort study evaluated risk of incident Parkinson’ disease in kidney transplant (KT) recipients in Korea. From Korean National Health Insurance Service database, we identified incident KT recipients aged ≥ 40 years without any history of Parkinson’s disease between 2007 and 2015. We established two control cohorts without a history of Parkinson’ disease: (1) General population (GP) cohort of insured subjects without a history of kidney disease, (2) end-stage renal disease (ESRD) cohort of incident ESRD subjects, with frequency matched for age, sex, and inclusion year. Parkinson’s disease data were obtained from baseline until December 2017. We followed 8372 KT recipients, ESRD patients, and GP for 45,723, 38,357, and 47,476 patient-years, respectively. Their mean age was 51.2 years and 60.1% were men. During follow-up period, 19 KT recipients, 53 ESRD patients, and 15 GP developed Parkinson’ disease. Risk of incident Parkinson’s disease in KT recipients was similar to that in GP (adjusted hazard ratio [HR] 0.86, 95% confidence interval [CI] 0.35 to 2.13, P = 0.75) and significantly lower than that in ESRD patients (adjusted HR 0.31, 95% CI 0.18 to 0.52, P < 0.001). Older age was the strongest predictor for incident Parkinson’s disease in KT recipients.

scholarly journals The TOMM40 ‘523’ polymorphism in disease risk and age of symptom onset in two independent cohorts of Parkinson’s disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Megan C. Bakeberg ◽  
Madison E. Hoes ◽  
Anastazja M. Gorecki ◽  
Frances Theunissen ◽  
Abigail L. Pfaff ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Symptom Onset ◽  
Disease Risk ◽  
Age Of Onset ◽  
Sequencing Analysis ◽  
Age Related ◽  
Australian Cohort ◽  
Progression Markers ◽  
Age Related Cognitive Decline

AbstractAbnormal mitochondrial function is a key process in the pathogenesis of Parkinson’s disease (PD). The central pore-forming protein TOM40 of the mitochondria is encoded by the translocase of outer mitochondrial membrane 40 homologue gene (TOMM40). The highly variant ‘523’ poly-T repeat is associated with age-related cognitive decline and age of onset in Alzheimer’s disease, but whether it plays a role in modifying the risk or clinical course of PD it yet to be elucidated. The TOMM40 ‘523’ allele length was determined in 634 people with PD and 422 healthy controls from an Australian cohort and the Parkinson’s Progression Markers Initiative (PPMI) cohort, using polymerase chain reaction or whole genome sequencing analysis. Genotype and allele frequencies of TOMM40 ‘523’ and APOE ε did not differ significantly between the cohorts. Analyses revealed TOMM40 ‘523’ allele groups were not associated with disease risk, while considering APOE ε genotype. Regression analyses revealed the TOMM40 S/S genotype was associated with a significantly later age of symptom onset in the PPMI PD cohort, but not after correction for covariates, or in the Australian cohort. Whilst variation in the TOMM40 ‘523’ polymorphism was not associated with PD risk, the possibility that it may be a modifying factor for age of symptom onset warrants further investigation in other PD populations.

scholarly journals Pioglitazone use and Parkinson’s disease: a retrospective cohort study in Taiwan

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e023302 ◽  
Author(s):  
Hsiu-Feng Wu ◽  
Li-Ting Kao ◽  
Jui-Hu Shih ◽  
Hui-Han Kao ◽  
Yu-Ching Chou ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Asian Population ◽  
Secondary Outcome ◽  
Study Cohort ◽  
Patients With Diabetes

ObjectivesMany researchers have expected pioglitazone to serve as an effective neuroprotective agent against Parkinson’s disease (PD). Therefore, we conducted this cohort study to investigate the association between pioglitazone use and PD by using a large Asian population-based dataset in Taiwan.DesignRetrospective cohort study.SettingTaiwan.Participants7906 patients with diabetes who had received pioglitazone were defined as the study cohort, and 7906 matched patients with diabetes who had not received pioglitazone were defined as the comparison cohort.Primary and secondary outcome measuresWe tracked each patient individually over a 5-year follow-up period to identify those diagnosed as having PD during this period. We performed Cox proportional hazard regression analyses to evaluate the HRs for PD between the study and comparison cohorts.ResultsThe findings indicated that among the sampled patients, PD occurred in 257 (1.63%): 119 (1.51%) pioglitazone users and 138 (1.75%) non-users. The adjusted HR for PD within the follow-up period was 0.90 (95% CI: 0.68 to 1.18) in the patients who had received pioglitazone compared with the matched patients who had not received pioglitazone. Moreover, this study revealed that pioglitazone use was not associated with PD incidence in men (HR: 1.06, 95% CI: 0.71 to 1.59) or women (HR: 0.84, 95% CI: 0.61 to 1.15).ConclusionsThis study did not find the relationship between pioglitazone use and PD incidence, regardless of sex, among an Asian population of patients with diabetes.

Parkinson’s disease risk score: moving to a premotor diagnosis

2011 ◽  
Vol 258 (S2) ◽  
pp. 311-315 ◽  
Author(s):  
Jürgen Winkler ◽  
Reinhard Ehret ◽  
Thomas Büttner ◽  
Ulrich Dillmann ◽  
Wolfgang Fogel ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Risk Score ◽  
Disease Risk ◽  
Disease Risk Score
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