scholarly journals Association of Visual Impairment with Risk for Future Parkinson’s Disease

2021 ◽  
Author(s):  
Zhuoting Zhu ◽  
Wenyi Hu ◽  
Huan Liao ◽  
Zachary Tan ◽  
Yifan Chen ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Visual Impairment ◽  
Prospective Cohort ◽  
Self Report ◽  
Baseline Assessment ◽  
Uk Biobank ◽  
Increased Risk ◽  
The Uk ◽  
Incident Cases

AbstractBackgroundAlthough visual dysfunction is one of the most common non-motor symptoms among patients with Parkinson’s disease (PD), it is not known whether such dysfunction predates the onset of clinical PD.ObjectivesTo examine the association of visual impairment (VI) with the future development of PD in the UK Biobank Study.MethodsThe UK Biobank Study is one of the largest prospective cohort studies of health, enrolling over 500,000 participants aged 40-69 years between 2006 and 2010 across the UK. VI was defined as a habitual distance visual acuity (VA) worse than 0.3 LogMAR in the better-seeing eye. Incident cases of PD were determined by self report data, hospital admission records or death records, whichever came first. Multivariable Cox proportional hazard regression models were used to investigate the association between VI and the risk of incident PD.ResultsA total of 117,050 participants were free of PD at the baseline assessment. During the median observation period of 5.96 (interquantile range [IQR]: 5.77-6.23) years, PD occurred in 222 (0.19%) participants. Visually impaired participants were at a higher risk of developing PD than non-VI participants (p<0.001). Compared with the non-VI group, the adjusted hazard ratio was 2.28 (95% CI 1.29-4.04, p=0.005) in the VI group. These results were consistent in the sensitivity analysis, where incident PD cases diagnosed within one year after the baseline assessment were excluded.ConclusionsThis prospective cohort study found that VI was associated with an increased risk of incident PD, suggesting that VI may represent a prodromal feature of PD.

scholarly journals Dietary intake of folate, vitamin B6, vitamin B12 and riboflavin and risk of Parkinson's disease: a case–control study in Japan

2010 ◽  
Vol 104 (5) ◽  
pp. 757-764 ◽  
Author(s):  
Kentaro Murakami ◽  
Yoshihiro Miyake ◽  
Satoshi Sasaki ◽  
Keiko Tanaka ◽  
Wakaba Fukushima ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Dietary Intake ◽  
Case Control Study ◽  
Case Control ◽  
B Vitamins ◽  
Vitamin B ◽  
Increased Risk ◽  
The Uk ◽  
Control Study

Increased homocysteine levels might accelerate dopaminergic cell death in Parkinson's disease (PD) through neurotoxic effects; thus, increasing intake of B vitamins involved in the regulation of homocysteine metabolism might decrease the risk of PD through decreasing plasma homocysteine. However, epidemiological evidence for the association of dietary B vitamins with PD is sparse, particularly in non-Western populations. We conducted a hospital-based case–control study in Japan to examine associations between dietary intake of folate, vitamin B6, vitamin B12 and riboflavin and the risk of PD. Patients with PD diagnosed using the UK PD Society Brain Bank criteria (n 249) and controls without neurodegenerative diseases (n 368) were recruited. Dietary intake during the preceding month was assessed at the time of study recruitment using a validated, self-administered, semi-quantitative, comprehensive diet history questionnaire. After adjustment for potential dietary and non-dietary confounding factors, intake of folate, vitamin B12 and riboflavin was not associated with the risk of PD (P for trend = 0·87, 0·70 and 0·11, respectively). However, low intake of vitamin B6 was associated with an increased risk of PD, independent of potential dietary and non-dietary confounders. Multivariate OR (95 % CI) for PD in the first, second, third and fourth quartiles of vitamin B6 were 1 (reference), 0·56 (0·33, 0·94), 0·69 (0·38, 1·25) and 0·48 (0·23, 0·99), respectively (P for trend = 0·10). In conclusion, in the present case–control study in Japan, low intake of vitamin B6, but not of folate, vitamin B12 or riboflavin, was independently associated with an increased risk of PD.

THUR 121 Identifying participants with parkinson’s disease in uk biobank

2018 ◽  
Vol 89 (10) ◽  
pp. A13.2-A13
Author(s):  
Bush Kathryn ◽  
Rannikmae Kristiina ◽  
Schnier Christian ◽  
Wilkinson Timothy ◽  
Nolan John ◽  
...  
Keyword(s):  
Primary Care ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Secondary Care ◽  
Large Population ◽  
Free Text ◽  
Uk Biobank ◽  
Predictive Values ◽  
Diagnostic Codes ◽  
The Uk

BackgroundLinkage to routinely collected NHS data from primary, secondary care and death certificates enables identification of participants with Parkinson’s Disease (PD) within the UK Biobank cohort of 5 00 000 adults. Validation of the accuracy of this data is required prior to their use in research studies.MethodIn this validation study participants (n=125) with a code indicating PD were identified from a sample of 17 000 participants in the cohort. Diagnoses were validated by expert adjudicators, based on free text electronic medical records. Positive predictive values (PPV,% of cases identified that are true cases) were calculated.ResultsPrimary care diagnostic codes identified 93% of PD cases, with a PPV of 95%. Combined secondary care and death data identified 42% of PD cases with a PPV of 84%.Combining diagnostic and medication codes identified more participants, but did not increase the PPV.ConclusionsThis study suggests that linkage to routinely collected healthcare data is a reliable method for identifying participants with PD in the UK Biobank cohort.Primary care diagnostic codes identified the highest proportion of participants and had the highest PPV, demonstrating the value of using primary care data to identify cases of disease in large population based cohort studies.

scholarly journals Regular consumption of soft drinks is associated with type 2 diabetes incidence in Mexican adults: findings from a prospective cohort study

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Leticia Torres-Ibarra ◽  
Berenice Rivera-Paredez ◽  
Rubí Hernández-López ◽  
Francisco Canto-Osorio ◽  
Luz María Sánchez-Romero ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Prospective Cohort ◽  
Soft Drinks ◽  
Self Report ◽  
Diabetes Incidence ◽  
Increased Risk ◽  
Mexican Adults ◽  
Incident Cases

Abstract Background Although high consumption of soft drinks has been associated with excess of type 2 diabetes risk, the strength of this association in the Mexican population, where a type 2 diabetes genetic susceptibility has been well established, has been scarcely studied. This study aimed to estimate the risk of type 2 diabetes due to soft drinks consumption in a cohort of Mexicans. Methods We used data on 1445 participants from the Health Workers Cohort Study, a prospective cohort conducted in Cuernavaca, Mexico. Soft drinks consumption was assessed with a semi-quantitative 116-item food frequency questionnaire. Incident type 2 diabetes was defined as self-report of physician-diagnosed type 2 diabetes, fasting glucose > 126 mg/dl, or hypoglycemic medication at any examination. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazard models. Results With a total of 9526.2 person-years of follow-up, 109 incident cases of type 2 diabetes were observed. Type 2 diabetes incidence rate was 7.6, 11.0, and 17.1 per 1000 person-years across levels of soft drinks consumption of < 1, 1–4, and ≥ 5 servings/week, respectively (p < 0.001 for trend). The intake of ≥5 soft drinks/week was significantly associated with an increased risk of type 2 diabetes (HR 1.9 95% CI:1.0–3.5) compared with consumption of < 1/week (p-trend = 0.040). The HR was attenuated by further adjustment for body mass index (HR 1.5 95%CI:0.8–2.8) and abdominal obesity (HR 1.6 95%CI:0.8–3.0). Conclusions The consumption of soft drinks was associated with a higher risk of type 2 diabetes in a cohort of Mexican adults. Our results further support recommendations to limit soft drinks intake to address the growing diabetes epidemic in Mexico.

scholarly journals Association of inflammation with depression and anxiety: evidence for symptom-specificity and potential causality from UK Biobank and NESDA cohorts

2021 ◽  
Author(s):  
Yuri Milaneschi ◽  
Nils Kappelmann ◽  
Zheng Ye ◽  
Femke Lamers ◽  
Sylvain Moser ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Problems ◽  
Experimental Studies ◽  
Anxiety Symptoms ◽  
Self Report ◽  
Mendelian Randomisation ◽  
Depression And Anxiety ◽  
Uk Biobank ◽  
Increased Risk ◽  
The Uk

AbstractWe examined whether inflammation is uniformly associated with all depressive and anxiety symptoms, and whether these associations are potentially causal. Data was from 147,478 individuals from the UK Biobank (UKB) and 2,905 from the Netherlands Study of Depression and Anxiety (NESDA). Circulating C-reactive protein (CRP) was measured in both cohorts and interleukin-6 (IL-6) in NESDA. Genetic instruments for these proteins were obtained from published GWAS and UKB. Depressive and anxiety symptoms were assessed with self-report questionnaires. In NESDA, neurovegetative (appetite, sleep, psychomotor) symptoms were disaggregated as increased vs. decreased. In joint analyses, higher CRP was associated with depressive symptoms of depressed mood (OR = 1.06, 95% CI = 1.05–1.08), altered appetite (OR = 1.25, 95%CI = 1.23–1.28), sleep problems (OR = 1.05, 95%CI = 1.04–1.06), and fatigue (OR = 1.12, 95% CI = 1.11–1.14), and with anxiety symptoms of irritability (OR = 1.06, 95% CI = 1.05–1.08) and worrying control (OR = 1.03, 95% CI = 1.02–1.04). In NESDA, higher IL-6 was additionally associated with anhedonia (OR = 1.30, 95% CI = 1.12–1.52). Higher levels of both CRP (OR = 1.27, 95% CI = 1.13–1.43) and IL-6 (OR = 1.26, 95% CI = 1.07–1.49) were associated with increased sleep. Higher CRP was associated with increased appetite (OR = 1.21, 95% CI = 1.08–1.35) while higher IL-6 with decreased appetite (OR = 1.45, 95% CI = 1.18–1.79). In Mendelian Randomisation analyses, genetically predicted higher IL-6 activity was associated with increased risk of fatigue (estimate = 0.25, SE = 0.08) and sleep problems (estimate = 0.19, SE = 0.07). Inflammation was associated with core depressive symptoms of low mood and anhedonia and somatic/neurovegetative symptoms of fatigue, altered sleep and appetite changes. Less consistent associations were found for anxiety. The IL-6/IL-6R pathway could be causally linked to depression. Experimental studies are required to further evaluate causality, mechanisms, and usefulness of immunotherapies for depressive symptoms.

scholarly journals Improving estimation of Parkinson’s disease risk - The enhanced PREDICT-PD algorithm

2020 ◽  
Author(s):  
Jonathan P. Bestwick ◽  
Stephen D. Auger ◽  
Cristina Simonet ◽  
Richard N. Rees ◽  
Daniel Rack ◽  
...  
Keyword(s):  
Risk Factors ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Published Data ◽  
Likelihood Ratios ◽  
Basic Algorithm ◽  
Standard Deviation Increase ◽  
Risk Estimates ◽  
Increased Risk ◽  
Incident Cases

ABSTRACTBackgroundWe previously reported a basic algorithm to identify risk of Parkinson’s disease (PD) using published data on risk factors and prodromal features. Using this algorithm, the PREDICT-PD study identified individuals at increased risk of PD, using tapping speed, hyposmia and REM sleep behaviour disorder (RBD) as “intermediate” markers of prodromal PD until sufficient incident cases accrued.ObjectivesTo develop and test an enhanced algorithm which incorporates these intermediate markers into the risk model.MethodsIntermediate markers were incorporated into risk estimates, and likelihood ratios for both the presence and absence of risk factors were used. Risk estimates were compared using the enhanced and the basic algorithm in members of the PREDICT-PD pilot cohort.ResultsThe enhanced PREDICT-PD algorithm yielded a much greater range of risk estimates than the basic algorithm (346 - 784-fold difference between the 10th and 90th centiles vs 10 12-fold respectively). There was a greater increase in risk of PD with increasing risk scores for the enhanced algorithm than for the basic algorithm (hazard ratios per one standard deviation increase in log risk of 2.73 [95% CI 1.68 – 4.45; p<0.001] versus 1.47 [95% CI 0.86 2.51; p=0.16] respectively). Estimates from the enhanced algorithm also correlated more closely with subclinical striatal DaT-SPECT dopamine depletion (R2=0.14, p=0.010 vs R2=0.043, p=0.17).ConclusionsIncorporating the previous intermediate markers of prodromal PD and using likelihood ratios improved the accuracy of the PREDICT-PD prediction algorithm for PD.

scholarly journals Identification and validation of myocardial infarction and stroke outcomes at scale in UK Biobank

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Christian Schnier ◽  
Spiros Denaxas ◽  
Rosalind Eggo ◽  
Riyaz Patel ◽  
Qiuli Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Survival Analysis ◽  
Hospital Admissions ◽  
Self Report ◽  
Research Nurse ◽  
Baseline Assessment ◽  
Uk Biobank ◽  
Incident Cases

ABSTRACT AimsWe aimed (i) to create algorithms for identifying stroke and acute myocardial infarction (MI) cases in a large prospective population-based study (UK Biobank), using linked data from national hospital admissions data and death registers, combined with self-report data from the baseline assessment; and (ii) to assess validity by examining associations with risk factors and mortality.MethodsUK Biobank is a prospective study of 503,000 participants, aged 40-69 years when recruited in 2006-2010 from centres across England, Scotland and Wales. Participants provided extensive questionnaire data on lifestyle, environment and medical history (with confirmation of self-reported medical conditions during a brief interview with a trained research nurse), had physical measures, and provided biological samples. Follow-up is principally through linkages to national health-related datasets, integrated from different data providers for each country and including cohort-wide data for ICD-coded hospital admissions and registered deaths, with follow-up to 2011 for this report. We used expert opinion and systematic reviews to identify baseline self-report items and ICD codes maximising positive predictive value for identification of stroke, MI and their subtypes. We classified participants with at least one relevant code as being first affected either before (prevalent cases) or after recruitment (incident cases). We compared cases with non-cases (controls) using logistic regression (prevalent cases) and survival analysis (incident cases) to examine associations with vascular risk factors, defined using data from the baseline assessment. We used survival analysis to compare vascular, non-vascular and all-cause mortality for cases versus controls post recruitment (prevalent cases) and post hospitalization (incident cases).ResultsWe identified 8654 stroke cases and 13,479 MI cases. 90% of both were prevalent at recruitment, of which 29% (stroke) and 54% (MI) were identified through both research nurse-confirmed self-report and hospital admission records. During ≈1 million person years of follow-up in those without a prevalent record, we identified 871 incident strokes and 1387 incident MIs, of which 8% (stroke) and 2.9% (MI) were identified in both hospital and death records. Male sex, low socio-economic status, smoking and increased body mass index were all positively associated with both stroke and MI. Compared with age and sex-matched controls, mortality for stroke and MI cases was increased both after recruitment (prevalent cases) and after hospitalization (incident cases).ConclusionInformation from linked coded datasets from different data providers can be combined with information collected at recruitment to identify and validate prevalent and incident acute MI and stroke.

scholarly journals Regular consumption of soft drinks is associated with type 2 diabetes incidence in Mexican adults: findings from a prospective cohort study.

2020 ◽  
Author(s):  
Leticia Torres-Ibarra ◽  
Berenice Rivera-Paredez ◽  
Rubí Hernández-López ◽  
Francisco Canto-Osorio ◽  
Luz María Sánchez-Romero ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Prospective Cohort ◽  
Soft Drinks ◽  
Self Report ◽  
Diabetes Incidence ◽  
Increased Risk ◽  
Mexican Adults ◽  
Incident Cases

Abstract Background: Although high consumption of soft drinks has been associated with excess of type 2 diabetes risk, the strength of this association in the Mexican population, where a type 2 diabetes genetic susceptibility has been well established, has been scarcely studied. This study aimed to estimate the risk of type 2 diabetes due to soft drinks consumption in a cohort of Mexicans. Methods: We used data on 1,445 participants from the Health Workers Cohort Study, a prospective cohort conducted in Cuernavaca, Mexico. Soft drinks consumption was assessed with a semi-quantitative 116-item food frequency questionnaire. Incident type 2 diabetes was defined as self-report of physician-diagnosed type 2 diabetes, fasting glucose >126 mg/dl, or hypoglycemic medication at any examination. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazard models.Results: With a total of 9,526.2 person-years of follow-up, 109 incident cases of type 2 diabetes were observed. Type 2 diabetes incidence rate was 7.6, 11.0, and 17.1 per 1,000 person-years across levels of soft drinks consumption of <1, 1-4, and ³5 servings/week, respectively (p<0.001 for trend). The intake of ≥5 soft drinks/week was significantly associated with an increased risk of type 2 diabetes (HR 1.9 95% CI:1.0-3.5) compared with consumption of <1/week (p-trend=0.040). The HR was attenuated by further adjustment for body mass index (HR 1.5 95%CI:0.8-2.8) and abdominal obesity (HR 1.6 95%CI:0.8-3.0). Conclusions: The consumption of soft drinks was associated with a higher risk of type 2 diabetes in a cohort of Mexican adults. Our results further support recommendations to limit soft drinks intake to address the growing diabetes epidemic in Mexico.

scholarly journals Prospective Memory Deficits are Associated with Poorer Everyday Functioning in Parkinson's Disease

2012 ◽  
Vol 18 (6) ◽  
pp. 986-995 ◽  
Author(s):  
Eva Pirogovsky ◽  
Steven Paul Woods ◽  
J. Vincent Filoteo ◽  
Paul E. Gilbert
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Prospective Memory ◽  
Financial Management ◽  
Medication Management ◽  
Preliminary Evidence ◽  
Self Report ◽  
Everyday Functioning ◽  
Financial Capacity ◽  
Increased Risk

AbstractAlthough individuals with Parkinson's disease (PD) evidence moderate deficits in prospective memory (PM), it is not known whether PM deficits confer an increased risk of poorer everyday functioning. In the current study, 33 individuals with PD and 26 demographically similar normal controls (NC) were administered performance-based and self-report measures of PM and everyday functioning, including medication and financial management. As compared to NC, PD participants demonstrated significantly lower scores on performance-based measures of PM and financial capacity, worse performance at a trend level on performance-based medication management and endorsed significantly greater self-reported declines in PM and instrumental activities of daily living (iADLs). In the PD sample, the laboratory measure of PM significantly correlated with performance-based measures of financial capacity and medication management and a self-report measure of medication management. Self-reported PM failures significantly correlated with perceived declines in iADLs, worse medication management, and poorer health-related quality of life. Although future studies are needed to examine the incremental ecological validity of PM in PD, findings from this study extend prior research by providing preliminary evidence that PM impairment may play a significant role in a range of critical everyday functions in PD. (JINS, 2012, 18, 1–10)

scholarly journals Improving estimation of Parkinson’s disease risk—the enhanced PREDICT-PD algorithm

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Jonathan P. Bestwick ◽  
Stephen D. Auger ◽  
Cristina Simonet ◽  
Richard N. Rees ◽  
Daniel Rack ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Disease Risk ◽  
Prediction Algorithm ◽  
Published Data ◽  
Basic Algorithm ◽  
Standard Deviation Increase ◽  
Risk Estimates ◽  
Increased Risk ◽  
Incident Cases

AbstractWe previously reported a basic algorithm to identify the risk of Parkinson’s disease (PD) using published data on risk factors and prodromal features. Using this algorithm, the PREDICT-PD study identified individuals at increased risk of PD and used tapping speed, hyposmia and REM sleep behaviour disorder (RBD) as “intermediate” markers of prodromal PD in the absence of sufficient incident cases. We have now developed and tested an enhanced algorithm which incorporates the intermediate markers into the risk model. Risk estimates were compared using the enhanced and the basic algorithm in members of the PREDICT-PD pilot cohort. The enhanced PREDICT-PD algorithm yielded a much greater range of risk estimates than the basic algorithm (93–609-fold difference between the 10th and 90th centiles vs 10–13-fold respectively). There was a greater increase in the risk of PD with increasing risk scores for the enhanced algorithm than for the basic algorithm (hazard ratios per one standard deviation increase in log risk of 2.75 [95% CI 1.68–4.50; p < 0.001] versus 1.47 [95% CI 0.86–2.51; p = 0.16] respectively). Estimates from the enhanced algorithm also correlated more closely with subclinical striatal DaT-SPECT dopamine depletion (R2 = 0.164, p = 0.005 vs R2 = 0.043, p = 0.17). Incorporating the previous intermediate markers of prodromal PD and using likelihood ratios improved the accuracy of the PREDICT-PD prediction algorithm.

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