scholarly journals Sociodemographic profile and stages of Parkinson’s disease associated with predictors of Temporomandibular Disorder

Revista CEFAC ◽  
2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Jonatas Silva de Oliveira ◽  
Amanda do Vale Sobral ◽  
Taysa Vannoska de Almeida Silva ◽  
Maria das Graças Wanderley de Sales Coriolano ◽  
Carla Cabral dos Santos Accioly Lins
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Temporomandibular Disorder ◽  
Secondary Data ◽  
Significance Level ◽  
Predictive Variables ◽  
Disease Staging ◽  
Chi Squared ◽  
Sociodemographic Profile ◽  
Stage 1

ABSTRACT Purpose: to analyze the predictors of temporomandibular disorder in people with Parkinson’s disease, verifying their associations with sociodemographic aspects and stages of the disease. Methods: a study based on secondary data from research conducted in 2017 with 110 people with Parkinson’s disease. They were assessed with the Research Diagnostic Criteria for Temporomandibular Disorders and the Parkinson’s disease staging scale. The studied predictive variables for temporomandibular disorder were pain, crepitation, clicking, nighttime and daytime clenching/gnashing, uncomfortable/non-habitual bite, morning rigidity, and tinnitus. The sociodemographic aspects assessed were age, sex, schooling level, marital status, income, and stages 1 to 3 of the disease. The chi-squared odds ratio was used with a 95% confidence interval and significance level at p < 0.05. Results: an association was verified between nighttime clenching/gnashing and income (p = 0.006); tinnitus and income range from ½ to 3 (p = 0.003) and from 4 to 10 minimum wages (p = 0.004); and between tinnitus and stage 1 (p = 0.02). Conclusion: this study verified that the predictors associated with temporomandibular disorder in people with Parkinson’s disease were pain, clicking, crepitation, uncomfortable/non-habitual bite, and morning rigidity. It was verified that income and stage 1 of the disease had an association with nighttime clenching/gnashing and tinnitus.

scholarly journals Sociodemographic Profile of Elderly People with Temporomandibular Disorder and Depression in Combination with Parkinson's Disease

2021 ◽  
Vol 21 ◽  
Author(s):  
Raíssa Barreto Tavares ◽  
Jonatas Silva de Oliveira ◽  
Patrícia Fernanda Faccio ◽  
Maria das Graças Wanderley de Sales Coriolano ◽  
Nadja Maria Jorge Asano ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Elderly People ◽  
Temporomandibular Disorder ◽  
Sociodemographic Profile

scholarly journals Consistency and Stability of Motor Subtype Classifications in Patients With de novo Parkinson’s Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Jingru Ren ◽  
Chenxi Pan ◽  
Yuqian Li ◽  
Lanting Li ◽  
Ping Hua ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
De Novo ◽  
Classification Systems ◽  
Motor Symptoms ◽  
Chi Squared ◽  
Baseline Evaluation ◽  
The Stability ◽  
First Time ◽  
Non Motor Symptoms

ObjectivePatients with Parkinson’s disease (PD) are commonly classified into subtypes based on motor symptoms. The aims of the present study were to determine the consistency between PD motor subtypes, to assess the stability of PD motor subtypes over time, and to explore the variables influencing PD motor subtype stability.MethodsThis study was part of a longitudinal study of de novo PD patients at a single center. Based on three different motor subtype classification systems proposed by Jankovic, Schiess, and Kang, patients were respectively categorized as tremor-dominant/indeterminate/postural instability and gait difficulty (TD/indeterminate/PIGD), TDS/mixedS/akinetic-rigidS (ARS), or TDK/mixedK/ARK at baseline evaluation and then re-assessed 1 month later. Demographic and clinical characteristics were recorded at each evaluation. The consistency between subtypes at baseline evaluation was assessed using Cohen’s kappa coefficient (κ). Additional variables were compared between PD subtype groups using the two-sample t-test, Mann–Whitney U-test or Chi-squared test.ResultsOf 283 newly diagnosed, untreated PD patients, 79 were followed up at 1 month. There was fair agreement between the Jankovic, Schiess, and Kang classification systems (κS = 0.383 ± 0.044, κK = 0.360 ± 0.042, κSK = 0.368 ± 0.038). Among the three classification systems, the Schiess classification was the most stable and the Jankovic classification was the most unstable. The non-motor symptoms questionnaire (NMSQuest) scores differed significantly between PD patients with stable and unstable subtypes based on the Jankovic classification (p = 0.008), and patients with a consistent subtype had more severe NMSQuest scores than patients with an inconsistent subtype.ConclusionFair consistency was observed between the Jankovic, Schiess, and Kang classification systems. For the first time, non-motor symptoms (NMSs) scores were found to influence the stability of the TD/indeterminate/PIGD classification. Our findings support combining NMSs with motor symptoms to increase the effectiveness of PD subtypes.

scholarly journals Diagnosis of Parkinson’s Disease by A Metabolomics-Based Laboratory-Developed Test (LDT)

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 332 ◽  
Author(s):  
Petr G. Lokhov ◽  
Oxana P. Trifonova ◽  
Dmitry L. Maslov ◽  
Steven Lichtenberg ◽  
Elena E. Balashova
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Early Stage ◽  
Mass Spectrometry Analysis ◽  
Great Effort ◽  
Spectrometry Analysis ◽  
Yahr Scale ◽  
In Vitro Diagnostic ◽  
Stage 1

A laboratory-developed test (LDT) is a type of in vitro diagnostic test that is designed, manufactured and used in the same laboratory (i.e., an in-house test). In this study, a metabolomics-based LDT was developed. This test involves a blood plasma preparation, direct-infusion mass spectrometry analysis with a high-resolution mass spectrometer, alignment and normalization of mass peaks using original algorithms, metabolite annotation by a biochemical context-driven algorithm, detection of overrepresented metabolic pathways and results in a visualization in the form of a pathway names cloud. The LDT was applied to detect early stage Parkinson’s disease (PD)—the diagnosis of which currently requires great effort due to the lack of available laboratory tests. In a case–control study (n = 56), the LDT revealed a statistically sound pattern in the PD-relevant pathways. Usage of the LDT for individuals confirmed its ability to reveal this pattern and thus diagnose PD at the early-stage (1–2.5 stages, according to Hoehn and Yahr scale). The detection of this pattern by LDT could diagnose PD with a specificity of 64%, sensitivity of 86% and an accuracy of 75%. Thus, this LDT can be used for further widespread testing.

Computerized analysis of the distribution of occlusal contacts in individuals with Parkinson's disease and temporomandibular disorder

CRANIO® ◽  
2016 ◽  
Vol 34 (6) ◽  
pp. 358-362 ◽  
Author(s):  
Paula Fernanda da Costa Silva ◽  
Lara Jansiski Motta ◽  
Soraia Micaela Silva ◽  
Raquel Agnelli Mesquita Ferrari ◽  
Kristianne Porta Santos Fernandes ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Temporomandibular Disorder ◽  
Computerized Analysis

scholarly journals Parkinson's disease: Impact of clinical and cognitive aspects on quality of life

2010 ◽  
Vol 4 (2) ◽  
pp. 131-137 ◽  
Author(s):  
Glória Maria Almeida Souza Tedrus ◽  
Lineu Correa Fonseca ◽  
Patrícia Mencaroni Kange
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scale ◽  
Signs And Symptoms ◽  
Well Being ◽  
Maternity Hospital ◽  
Related Factors ◽  
Significance Level

Abstract Parkinson's disease (PD) is a chronic disease manifested principally by motor signs and symptoms, but with frequent neuropsychological alterations. Objectives: To study the relationship between clinical and cognitive aspects and the perception of quality of life (QOL) in PD patients. Methods: Twenty consecutive patients (13 men) with idiopathic PD (mean age: 64.5y), mean disease time of 7.8 years and at stages 1-3 according to the modified Hoehn and Yahr staging scale (HYS), all outpatients from the Neurology Department of the Celso Pierro General and Maternity Hospital (PUC-Campinas), were analyzed. The following were applied: a clinical-neurological assessment, the Mini-Mental State Examination (MMSE), standard neuropsychological battery of the CERAD (Consortium to Establish a Registry for Alzheimer's Disease), Hamilton Depression Rating Scale (HAM-D) and a QOL questionnaire (Parkinson's Disease Questionnaire - PDQ-39). Statistical analysis was carried out at a significance level of p<0.05. Results: On the PDQ-39 under the sections total, mobility and activities of daily living, and the items motor compromise (HYS) and language of the MMSE were predictors of worse QOL. Verbal fluency was a factor for emotional well-being on the PDQ-39, whereas higher scores for HAM-D and worse performance on the item attention and calculation of the MMSE were associated with worse QOL in the social support section. Total score on the MMSE and educational level were QOL factors in cognition Conclusions: The findings of the present study suggest that clinical, cognitive, motor or other depression-related factors contribute differently to the domains of QOL.

Step Activity in Persons With Parkinson’s Disease

2010 ◽  
Vol 7 (6) ◽  
pp. 724-729 ◽  
Author(s):  
Matthew P. Ford ◽  
Laurie A. Malone ◽  
Harrison C. Walker ◽  
Ildiko Nyikos ◽  
Rama Yelisetty ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Activity Monitor ◽  
Activity Levels ◽  
Health And Wellness ◽  
Healthy Older Adults ◽  
Health History ◽  
History Information ◽  
Stage 1

Background:UPDRS and PDQ-39 are reliable and valid assessments of quality of life and physical function in persons with Parkinson’s disease (PD). However, these measures were not designed to track day-to-day or week-to-week changes in community activity in persons with PD.Methods:Twelve individuals with PD (stage 1 to 3, Hoehn and Yahr) who were active members of a health and wellness facility were recruited for this study. Investigators collected health history information, asked questions about the amount and frequency of weekly exercise, and assessed motor symptoms and ADL skills using the UPDRS, and provided participants with Step Activity Monitor (SAM). SAM data were collected for a continuous 7-day period.Results:Participants averaged 8996 steps/day, had an average of 322 minutes of step activity per day, but were inactive (minIA) 77% of their time per day. On the days that participants visited the health and wellness facility they took an average of 802 more steps with 12 minutes more activity per day.Conclusions:A SAM can be used to capture activity levels in persons with PD. These pilot data indicate that persons with mild to moderate PD can achieve step activity levels similar to healthy older adults.

P1.146 Parkinson's disease staging based of the non-motor symptoms scale

2009 ◽  
Vol 15 ◽  
pp. S66
Author(s):  
P. Martinez-Martin ◽  
C. Falup-Pecurariu ◽  
C. Rodriguez-Blazquez ◽  
B. van Hilten ◽  
P. Odin ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Symptoms ◽  
Disease Staging ◽  
Non Motor Symptoms

scholarly journals The association between Parkinson’s disease and temporomandibular disorder

PLoS ONE ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. e0217763
Author(s):  
Ya-Yi Chen ◽  
Hueng-Chuen Fan ◽  
Min-Che Tung ◽  
Yu-Kang Chang
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Temporomandibular Disorder

Depressive symptoms in elderly patients with Parkinson's disease: frequency and associated factors

2021 ◽  
Vol 28 (9) ◽  
pp. 1-9
Author(s):  
Layla Vieira Gomes da Costa ◽  
Karen Valadares Trippo ◽  
Gabriel Pereira Duarte ◽  
Alessandra Oliveira Cruz ◽  
Jamary Oliveira Filho ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Depressive Symptoms ◽  
Elderly Patients ◽  
Elderly People ◽  
Emotional Health ◽  
Pearson Correlation ◽  
Depression Scale ◽  
Cross Sectional ◽  
Significance Level

Background/aims Emotional health is an important factor in clinical and functional manifestations of Parkinson's disease. The aim of this study was to correlate clinical features with depressive symptoms in elderly patients with Parkinson's disease. Methods A cross-sectional study was conducted. The Geriatric Depression Scale 15 was used to evaluate depressive symptoms, the modified Hoehn and Yahr scale was used to describe the symptom progression of Parkinson's disease and the Parkinson's Disease Questionnaire 39 to assess the quality of life. The Pearson correlation and the chi-square test were used. Significance level was set at 5%. Results A total of 81 individuals participated and 48 (60.8%) presented with depressive symptoms. Participants in the moderate stage of Parkinson's disease and women presented a higher frequency of depressive symptoms. Cognition, communication and mobility presented the highest correlation with depressive symptoms. Conclusions The participants presented a high frequency of depressive symptoms that is correlated with a decrease in mobility, communication and cognitive functions. It is recommended that the rehabilitation of elderly people with Parkinson's disease should be performed by a multidisciplinary team, whose objectives are to improve mobility, cognition and communication, which can help reduce depressive symptoms and depression in elderly people with Parkinson's disease.

Predictors of Functional Improvements After Therapeutic Yoga Intervention for People with Parkinson’s Disease

2019 ◽  
Vol 30 (1) ◽  
pp. 9-18
Author(s):  
Em V. Adams ◽  
Marieke Van Puymbroeck ◽  
Alysha Walter ◽  
Brent L. Hawkins ◽  
Arlene A. Schmid ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Predictive Factors ◽  
Secondary Data ◽  
Management Training ◽  
Functional Improvement ◽  
Gait Velocity ◽  
Future Research ◽  
Yoga Therapy ◽  
Yoga Intervention

Abstract Parkinson’s disease (PD) affects nearly 10 million people worldwide, leading to decreased mobility and balance and potential loss of independence. Yoga has been associated with improved function for people with PD, but the predictive factors for improved functional outcomes as a result of yoga participation remain unexamined. The objective of this secondary data analysis was to identify predictive factors of functional improvement for people with PD after an 8-week yoga intervention. Stepwise multiple linear regression was used to identify significant predictors of improvement in balance, fall control, PD symptoms, and activity constraints. Lower cognitive functioning was predictive of improvement in perceived control over falls, body responsiveness was predictive of improvement in PD-specific symptoms, and gait velocity was predictive of improvement in balance and activity constraints. Future research is warranted to evaluate the use of screeners to predict who is the best fit for yoga therapy. Additional research is needed to evaluate the need to include cognitive self-management training concurrent with yoga therapy.

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