scholarly journals High IQ in Early Adulthood Is Associated with Parkinson’s Disease

2020 ◽  
Vol 10 (4) ◽  
pp. 1649-1656
Author(s):  
Camilla Fardell ◽  
Kjell Torén ◽  
Linus Schiöler ◽  
Hans Nissbrandt ◽  
Maria Åberg
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
High Education ◽  
Military Service ◽  
Early Adulthood ◽  
Subsequent Development ◽  
Continuous Variable ◽  
Education Level ◽  
Cognitive Capacity ◽  
High Education Level

Background: High education level and high occupational complexity have been implicated as risk factors for Parkinson’s disease (PD). Objective: The objective was to determine whether cognitive capacity, measured as IQ, in early adulthood is associated with the subsequent development of PD. Method: Data on IQ were retrieved from the Swedish Military Service Conscription Registry, comprising Swedish males who enlisted for military service in the period 1968–1993 (N = 1,319,235). After exclusion, 1,189,134 subjects in total were included in the present study. Individuals who later developed PD (N = 1,724) were identified using the Swedish National Patient Register and the Swedish Cause of Death Register. Results: High education level was associated with PD. High IQ was associated with PD (p < 0.0001), both when analyzed as a continuous variable and when divided into three categories. The hazard ratio for the high IQ category compared to the low IQ category was 1.35 (95% confidence interval 1.17–1.55). Strong test results on the subtests, measuring verbal, logic, visuospatial and technical abilities, were also associated with PD. In a subgroup, smoking was inversely associated with PD, as well as with IQ. Conclusions: This study identifies high IQ to be a risk factor for PD.

scholarly journals Cross-platform transcriptional profiling identifies common and distinct molecular pathologies in Lewy body diseases

2021 ◽  
Author(s):  
Rahel Feleke ◽  
Regina H. Reynolds ◽  
Amy M. Smith ◽  
Bension Tilley ◽  
Sarah A. Gagliano Taliun ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neurodegenerative Diseases ◽  
Lewy Body ◽  
Molecular Mechanisms ◽  
Lewy Bodies ◽  
Subsequent Development ◽  
Lewy Body Dementia ◽  
Anterior Cingulate ◽  
Lewy Body Diseases

AbstractParkinson’s disease (PD), Parkinson’s disease with dementia (PDD) and dementia with Lewy bodies (DLB) are three clinically, genetically and neuropathologically overlapping neurodegenerative diseases collectively known as the Lewy body diseases (LBDs). A variety of molecular mechanisms have been implicated in PD pathogenesis, but the mechanisms underlying PDD and DLB remain largely unknown, a knowledge gap that presents an impediment to the discovery of disease-modifying therapies. Transcriptomic profiling can contribute to addressing this gap, but remains limited in the LBDs. Here, we applied paired bulk-tissue and single-nucleus RNA-sequencing to anterior cingulate cortex samples derived from 28 individuals, including healthy controls, PD, PDD and DLB cases (n = 7 per group), to transcriptomically profile the LBDs. Using this approach, we (i) found transcriptional alterations in multiple cell types across the LBDs; (ii) discovered evidence for widespread dysregulation of RNA splicing, particularly in PDD and DLB; (iii) identified potential splicing factors, with links to other dementia-related neurodegenerative diseases, coordinating this dysregulation; and (iv) identified transcriptomic commonalities and distinctions between the LBDs that inform understanding of the relationships between these three clinical disorders. Together, these findings have important implications for the design of RNA-targeted therapies for these diseases and highlight a potential molecular “window” of therapeutic opportunity between the initial onset of PD and subsequent development of Lewy body dementia.

scholarly journals Accelerating diagnosis of Parkinson’s disease through risk prediction

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
William Yuan ◽  
Brett Beaulieu-Jones ◽  
Richard Krolewski ◽  
Nathan Palmer ◽  
Christine Veyrat-Follet ◽  
...  
Keyword(s):  
Machine Learning ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Subsequent Development ◽  
Time Compression ◽  
Disease Modifying Therapies ◽  
Machine Learning Approach ◽  
Diagnostic Window

Abstract Background Characterization of prediagnostic Parkinson’s Disease (PD) and early prediction of subsequent development are critical for preventive interventions, risk stratification and understanding of disease pathology. This study aims to characterize the role of the prediagnostic period in PD and, using selected features from this period as novel interception points, construct a prediction model to accelerate the diagnosis in a real-world setting. Methods We constructed two sets of machine learning models: a retrospective approach highlighting exposures up to 5 years prior to PD diagnosis, and an alternative model that prospectively predicted future PD diagnosis from all individuals at their first diagnosis of a gait or tremor disorder, these being features that appeared to represent the initiation of a differential diagnostic window. Results We found many novel features captured by the retrospective models; however, the high accuracy was primarily driven from surrogate diagnoses for PD, such as gait and tremor disorders, suggesting the presence of a distinctive differential diagnostic period when the clinician already suspected PD. The model utilizing a gait/tremor diagnosis as the interception point, achieved a validation AUC of 0.874 with potential time compression to a future PD diagnosis of more than 300 days. Comparisons of predictive diagnoses between the prospective and prediagnostic cohorts suggest the presence of distinctive trajectories of PD progression based on comorbidity profiles. Conclusions Overall, our machine learning approach allows for both guiding clinical decisions such as the initiation of neuroprotective interventions and importantly, the possibility of earlier diagnosis for clinical trials for disease modifying therapies.

scholarly journals Believe, Pray, and Obey: Three Indicators of Religiosity in a Jewish Canadian Community

2020 ◽  
Vol 30 ◽  
pp. 115-135
Author(s):  
John Cappucci
Keyword(s):  
High Education ◽  
Education Level ◽  
Essex County ◽  
High Education Level ◽  
High Degree

This article examines religiosity among a sample of Jews living in Windsor-Essex County. This study uses three indicators to measure religiosity, including belief in G-d, prayer routine, and the Sabbath. The researcher interviewed fifty members of this community with an age rage between their early twenties to late eighties. The results show that the community has a somewhat moderate belief in G-d but does not pray or honour the Sabbath at comparable levels. To account for this diminished religiosity, Pippa Norris and Ronald Inglehart’s existential security theory will be applied. The article concludes that given the high degree of existential security derived from the sample’s high education level, there is little personal need to adhere to the major tenets of Judaism.   Cet article examine la religiosité parmi un échantillon de Juifs vivant dans le comté de Windsor-Essex. Cette étude se base sur trois indicateurs pour mesurer la religiosité, notamment la croyance en Dieu, la routine de prière et le sabbat. Le chercheur a interrogé cinquante membres de cette communauté dont l’âge varie entre 20 et 80 ans. Les résultats démontrent que la communauté a une croyance assez modérée en Dieu, mais ne prie pas ou n’honore pas le sabbat à des niveaux comparables. Pour rendre compte de cette religiosité diminuée, la théorie de la sécurité existentielle de Pippa Norris et Ronald Inglehart sera appliquée. L’article conclut qu’étant donné le haut degré de sécurité existentielle découlant du haut niveau d’éducation de l’échantillon, il n’est guère nécessaire, sur le plan personnel, d’adhérer aux grands principes du judaïsme.

scholarly journals Comparing Sensitivity and Specificity of Addenbrooke’s Cognitive Examination-I, III and Mini-Addenbrooke’s Cognitive Examination in Parkinson’s Disease

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Tivadar Lucza ◽  
Zsuzsanna Ascherman ◽  
Márton Kovács ◽  
Attila Makkos ◽  
Márk Harmat ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sensitivity And Specificity ◽  
Neurodegenerative Disorder ◽  
Education Level ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Receiver Operation Characteristic ◽  
Education Levels ◽  
Addenbrooke’S Cognitive Examination

Background. Parkinson’s disease (PD) is the second most common neurodegenerative disorder characterized by numerous motor and nonmotor symptoms. Neurocognitive disorders (NCD) are one of the most troublesome problems and their diagnosis is often challenging. Methods. We compared the sensitivity and specificity of several versions of Addenbrooke Cognitive Examination (ACE, ACE-III, and Mini-ACE) on 552 subjects with PD. Normal cognition, mild and major NCD were judged in accordance with the respective criteria of the Diagnostic and Statistical Manual of Mental Disorders 5th edition. Subsequently, we applied the receiver operation characteristic (ROC) analysis in comparison of different education levels. Results. For subjects with education level 0–8 and 9–12 years, the ACE-III had the best discriminating capabilities for mild NCD (cut-off scores: 83.5 and 85.5 points, respectively), while Mini-ACE was the best for subjects having education > 12 years (cut-off score: 25.5 points). For detecting major NCD, ACE-III had the best diagnostic accuracy in all levels of education (cut-off scores: 70.5, 77.5, and 78.5 points for subjects having education level 0–8, 9–12, and >12 years, respectively). Conclusion. ACE-III and its nested version, the Mini-ACE, had the best screening abilities for detecting mild and major NCD in PD.

scholarly journals Cognitive impairment of workers in a large-scale aluminium factory in China: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e027154 ◽  
Author(s):  
Huaxing Meng ◽  
Shanshan Wang ◽  
Junhong Guo ◽  
Yarong Zhao ◽  
Shuhui Zhang ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
High Education ◽  
Mild Cognitive Impairment ◽  
Education Level ◽  
Secondary Outcome ◽  
Cross Sectional ◽  
High Education Level ◽  
Significant Difference ◽  
The Relationship ◽  
Aluminium Exposure

ObjectivesTo investigate the prevalence of mild cognitive impairment and the relationship with plasma aluminium among aluminium workers.DesignThis was a cross-sectional case-control study in the SH Aluminium Factory, China.SettingThe university and affiliated hospital cooperated in the study.ParticipantsThere were 910 aluminium workers on duty, among whom 853 participated in our study. Participants, such as those with cerebral vascular disease, epilepsy, brain trauma, Parkinson’s and mental diseases, aluminium-containing drug and mental drug use, and any family history of dementia in first-degree relatives were excluded.Primary and secondary outcome measuresBlood samples were collected, and plasma aluminium was measured by inductively coupled plasma-mass spectrometry. For each case, four age-matched controls were evaluated to determine the relationship between aluminium exposure and mild cognitive impairment. Conditional logistic regression was used to explore influential factors in mild cognitive impairment.ResultsAmong 910 workers, 93.74% participated in stage 1; 53 cases were finally diagnosed. The crude prevalence of mild cognitive impairment among aluminium workers on duty was 6.21%. There was a significant difference in plasma aluminium concentration between the two groups. In the multivariate analysis, we found that a higher level of plasma aluminium was associated with a high risk of cognitive impairment when compared with a lower aluminium level (AOR=2.24, 95% CI=1.17 to 4.26), and a high education level was a protective factor (AOR=0.36, 95% CI=0.18 to 0.70). No other factor was statistically significant.ConclusionsMild cognitive impairment is no longer a disease specific to elderly people. High plasma aluminium exposure might be associated with an increased risk of cognitive impairment, but a reduced risk was observed with a high education level. The cognitive function of aluminium workers on duty must be considered seriously.

Epidemiology of Leisure, Transportation, Occupational, and Household Physical Activity: Prevalence and Associated Factors

2009 ◽  
Vol 6 (5) ◽  
pp. 625-632 ◽  
Author(s):  
Alex Antonio Florindo ◽  
Vanessa Valente Guimarães ◽  
Chester Luiz Galvão Cesar ◽  
Marilisa Berti de Azevedo Barros ◽  
Maria Cecília Goi Porto Alves ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Education ◽  
Skin Color ◽  
Cross Sectional Study ◽  
Education Level ◽  
Poor Health ◽  
Cross Sectional ◽  
White Skin ◽  
High Education Level ◽  
Female Sex

Background:To estimate the prevalence of and identify factors associated with physical activity in leisure, transportation, occupational, and household settings.Methods:This was a cross-sectional study aimed at investigating living and health conditions among the population of São Paulo, Brazil. Data on 1318 adults aged 18 to 65 years were used. To assess physical activity, the long version of the International Physical Activity Questionnaire was applied. Multivariate analysis was conducted using a hierarchical model.Results:The greatest prevalence of insufficient activity related to transportation (91.7%), followed by leisure (77.5%), occupational (68.9%), and household settings (56.7%). The variables associated with insufficient levels of physical activity in leisure were female sex, older age, low education level, nonwhite skin color, smoking, and self-reported poor health; in occupational settings were female sex, white skin color, high education level, self-reported poor health, nonsmoking, and obesity; in transportation settings were female sex; and in household settings, with male sex, separated, or widowed status and high education level.Conclusion:Physical activity in transportation and leisure settings should be encouraged. This study will serve as a reference point in monitoring different types of physical activities and implementing public physical activity policies in developing countries.

scholarly journals Bipolar Disorder and Parkinson's Disease: A 123I-Ioflupane Dopamine Transporter SPECT Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Roberto Erro ◽  
Annamaria Landolfi ◽  
Giulia D'Agostino ◽  
Leonardo Pace ◽  
Marina Picillo ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Bipolar Disorder ◽  
Parkinson's Disease ◽  
Risk Factor ◽  
Dopamine Transporter ◽  
Functional Neuroimaging ◽  
Photon Emission ◽  
Subsequent Development ◽  
Motor Symptom ◽  
Cumulative Exposure

Objectives: Bipolar disorder (BD) has been suggested to be a risk factor for the development of Parkinson's disease (PD). Standard treatment of BD includes drugs that are known to induce drug-induced parkinsonism (DIP). Clinical differentiation between PD and DIP is crucial and might be aided by functional neuroimaging of the dopaminergic nigrostriatal pathway.Methods: Twenty consecutive BD patients with parkinsonism were clinically assessed and underwent 123I-ioflupane dopamine transporter single-photon emission computer tomography (SPECT). Imaging data of BD patients with pathological scans were further compared to a population of 40 de novo PD patients.Results: Four BD patients had abnormal scans, but their clinical features and cumulative exposure to both antipsychotic drugs and lithium were similar to those of BD patients with normal dopamine transporter imaging. BD patients with pathological scans had putaminal binding ratio and putamen-to-caudate ratios higher than those of PD patients despite a similar motor symptom burden.Conclusions: Up to 20% of BD patients with parkinsonism might have an underlying dopaminergic deficit, which would not be due to cumulative exposure to offending drugs and is ostensibly higher than expected in the general population. This supports the evidence that BD represents a risk factor for subsequent development of neurodegenerative parkinsonism, the nature of which needs to be elucidated.

scholarly journals ANAOSIS PENGARUH KESEMPATAN KERJA, TINGKAT BEBAN/TANGGUNGAN DAN PENDIDIKAN TINGGITERHADAP PENGANGGURAN DI PROPINSI DATI I JAWATENGAH

2017 ◽  
Vol 6 (1) ◽  
pp. 64
Author(s):  
Daryono Soebagiyo
Keyword(s):  
High Education ◽  
Education Level ◽  
Load Level ◽  
Employment Rate ◽  
Employment Level ◽  
High Education Level ◽  
Central Java ◽  
Short Period ◽  
Central Java Province

This research will analyze the effect of employment level, load level/other citizen burden, and high education toward unemployment in Central Java Province. The aims of this research are to analyze whether employment rate, depencency ratio and high education level have any effect toward unemployment in Central Java Province, and to reveal how far the effect of each variables; that are employment rate, depencency ratio and high education level, on short period and long period unemployment in Central Java Province.In this analysis, the writer concludes that no independent variable used has significant effect toward the dependent variable, i.e. unemployment. This may be happened because people with high education tend to search for a job not only in this province but also to others that have leading sector according to the major he has, and the higher education he has the burden ratio will not influence unemployment, whether in short term or long term.

scholarly journals The potential interaction of hereditary and reproductive factors in the etiology of mammary gland hyperplasia: a case-control study

2019 ◽  
Author(s):  
hanlu gao ◽  
Chao Yang ◽  
Jinqing Fan ◽  
Li Lan ◽  
Da Pang
Keyword(s):  
Breast Cancer ◽  
Mammary Gland ◽  
High Education ◽  
Family History ◽  
Reproductive Factors ◽  
Education Level ◽  
High Order ◽  
Breastfeeding Duration ◽  
High Education Level ◽  
History Of

Abstract Background: Family history of breast cancer and female reproductive factors may work together to influence hyperplasia of mammary gland (HMG) risk. However, the association with HMG risk is poorly characterized and might be important to understand the causation of HMG.Methods: A total of 1881 newly diagnosed HMG cases and 1900 controls were recruited between 2012 and 2017. We collected each participant's demographic characteristics, female reproductive factors and family history of breast cancer. A multi-analytic strategy combining unconditional logistic regression, multifactor dimensionality reduction (MDR) and crossover approaches were applied to systematically identify the interactions of family history of breast cancer and reproductive factors on HMG susceptibility.Results: In MDR analysis, high-order interactions among education level, breastfeeding duration and family history of breast cancer were identified among women (OR=7.069, 95%CI: 6.080-8.219). Similarly, in crossover analysis, compared with individuals having low education level and no family history of breast cancer, HMG risk increased significantly for those having high education level and family history of breast cancer (OR=36.389, 95%CI: 11.469-115.451), similar additive interaction effect was observed among short breastfeeding duration women (OR=27.699, 95%CI: 3.730-205.699).Conclusion: This study suggests high-order interactions of high education level, short breastfeeding duration and family history of breast cancer may synergistically increased HMG risk.

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