scholarly journals Step‐rate threshold for physical activity intensity in Parkinson’s disease

2020 ◽  
Vol 142 (2) ◽  
pp. 145-150
Author(s):  
Brenda Jeng ◽  
Katie L. Cederberg ◽  
Byron Lai ◽  
Jeffer E. Sasaki ◽  
Marcas M. Bamman ◽  
...  
Keyword(s):  
Physical Activity ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Physical Activity Intensity ◽  
Step Rate ◽  
Activity Intensity ◽  
Rate Threshold

scholarly journals Physical Activity across Frailty Phenotypes in Females with Parkinson’s Disease

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Kaitlyn P. Roland ◽  
Kayla M. D. Cornett ◽  
Olga Theou ◽  
Jennifer M. Jakobi ◽  
Gareth R. Jones
Keyword(s):  
Physical Activity ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Self Report ◽  
Physical Activity Intensity ◽  
Levodopa Dose ◽  
Frailty Phenotype ◽  
Activity Intensity ◽  
Global Positioning ◽  
Reduced Physical Activity

Females with Parkinson’s disease (PD) are vulnerable to frailty. PD eventually leads to decreased physical activity, an indicator of frailty. We speculate PD results in frailty through reduced physical activity.Objective. Determine the contribution of physical activity on frailty in PD (n=15, 65 ± 9 years) and non-PD (n=15, 73 ± 14 years) females.Methods. Frailty phenotype (nonfrail/prefrail/frail) was categorized and 8 hours of physical activity was measured using accelerometer, global positioning system, and self-report. Two-way ANCOVA (age as covariate) was used to compare physical activity between disease and frailty phenotypes. Spearman correlation assessed relationships, and linear regression determined associations with frailty.Results. Nonfrail recorded more physical activity (intensity, counts, self-report) compared with frail. Self-reported physical activity was greater in PD than non-PD. In non-PD, step counts, light physical activity time, sedentary time, and self-reported physical activity were related to frailty (R=0.91). In PD, only carbidopa-levodopa dose was related to frailty (r=0.61).Conclusion. Physical activity influences frailty in females without PD. In PD females, disease management may be a better indicator of frailty than physical activity. Further investigation into how PD associated factors contribute to frailty is warranted.

Within-person Reliability Of Step-rate Cut-offs For Physical Activity Intensity

2017 ◽  
Vol 49 (5S) ◽  
pp. 646
Author(s):  
Anthony T. Allred ◽  
Poram Choi ◽  
Roland O. Webster ◽  
Ben R. Abadie ◽  
Stamatis Agiovlasitis
Keyword(s):  
Physical Activity ◽  
Physical Activity Intensity ◽  
Step Rate ◽  
Activity Intensity

Step-Rate Thresholds for Physical Activity Intensity in Persons With Multiple Sclerosis

2014 ◽  
Vol 31 (1) ◽  
pp. 4-18 ◽  
Author(s):  
Stamatis Agiovlasitis ◽  
Robert W. Motl
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Group Interaction ◽  
Physical Activity Intensity ◽  
Metabolic Equivalent ◽  
Step Rate ◽  
Activity Intensity ◽  
The Relationship ◽  
Healthy Persons

This study examined whether the relationship between metabolic equivalent units (METs) and step-rate is altered in persons with multiple sclerosis (MS) and developed step-rate thresholds for activity intensity for these persons. Participants were 24 persons with MS (20 women; age = 44 ± 12) and 24 healthy persons without MS (20 women; age = 41 ± 11). The MS group was divided using the 12-item MS Walking Scale (MSWS-12) into two walking impairment subgroups: (a) minimal (n = 13, MSWS-12 ≤ 12.5) and (b) mild-moderate (n = 11, MSWS-12 > 12.5). METs were measured with spirometry and step-rate with hand-tally. Steprate, height, group, the step-rate by group interaction, and the square of step-rate significantly predicted METs. At a given height, the step-rate thresholds at 3 and 6 METs were lower for persons with minimal impairment than persons without MS and even lower for persons with mild-moderate impairment. The relationship between METs and step-rate is altered in persons with MS, lowering their step-rate thresholds for activity intensity, especially for persons with MS who have higher levels of walking impairment.

Self-reported Physical Activity Intensity and Sleep Apnea Risk

2014 ◽  
Vol 46 ◽  
pp. 374
Author(s):  
Christopher E. Kline ◽  
Matthew P. Buman ◽  
Shawn D. Youngstedt ◽  
Barbara Phillips ◽  
Marco Tulio de Mello ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Apnea ◽  
Physical Activity Intensity ◽  
Activity Intensity

The use of eHealth to promote physical activity in people living with Parkinson’s disease: A systematic review

2021 ◽  
pp. 1-14
Author(s):  
Adam McDermott ◽  
Ciaran Haberlin ◽  
Jonathan Moran
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Risk Of Bias ◽  
Attrition Rate ◽  
Medical Subject Headings ◽  
Eligibility Criteria ◽  
Ehealth Intervention ◽  
High Level

BACKGROUND: People living with Parkinson’s disease (PD) are less active than healthy individuals. Ehealth is an emerging concept in healthcare which presents opportunities to promote physical activity (PA) in people with PD. The aim of this systematic review was to explore the effectiveness of ehealth in the promotion of PA in people living with PD. METHODS: Suitable articles were searched for using EMBASE, PsychInfo, Web of Science and OVID Medline databases using a combination of keywords and medical subject headings. Articles were included if they described an ehealth intervention designed to promote PA in people living with PD. Two reviewers screened studies for suitability and extracted data. Risk of bias was assessed using the Cochrane risk of bias 2 tool and the Downs and Black risk of bias checklist. Due to the heterogeneity of studies, a narrative synthesis of study interventions and results was completed rather than a quantitative analysis. RESULTS: 1449 articles were screened. Four studies met the eligibility criteria which included 652 participants. Web and mobile applications were used to design the PA interventions. PA levels were measured using self-reported questionnaires, Fitbits, activity monitors and accelerometers. Three of the studies reported improvements in aspects of PA. However, this was not consistently reported in all study participants. No adverse effects, a high level of enjoyment and a relatively low attrition rate (∼12.5%) were reported. CONCLUSION: Ehealth is a safe and feasible intervention to promote PA in this population. It is unclear whether ehealth is effective at promoting PA in people with PD. Keywords:

The effect of real‐time monitoring of physical activity intensity in diabetic patients

2021 ◽  
Author(s):  
Rumi Tanaka ◽  
Kimie Fujita ◽  
Satoko Maeno ◽  
Kanako Yakushiji ◽  
Satomi Tanaka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Real Time ◽  
Diabetic Patients ◽  
Physical Activity Intensity ◽  
Real Time Monitoring ◽  
Activity Intensity
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