Enriched environment and physical activity increase cell proliferation and improve motor skills in 6-OHDA modell of Parkinson's disease

2004 ◽  
Vol 31 (S 1) ◽  
Author(s):  
B Steiner ◽  
E Siebert ◽  
G Kempermann ◽  
A Kupsch ◽  
C Winter
2021 ◽  
pp. 1-14
Author(s):  
Adam McDermott ◽  
Ciaran Haberlin ◽  
Jonathan Moran

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:


Brain ◽  
2014 ◽  
Vol 138 (2) ◽  
pp. 269-275 ◽  
Author(s):  
Fei Yang ◽  
Ylva Trolle Lagerros ◽  
Rino Bellocco ◽  
Hans-Olov Adami ◽  
Fang Fang ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Micaela Porta ◽  
Giuseppina Pilloni ◽  
Roberta Pili ◽  
Carlo Casula ◽  
Mauro Murgia ◽  
...  

Background. Although physical activity (PA) is known to be beneficial in improving motor symptoms of people with Parkinson’s disease (pwPD), little is known about the relationship between gait patterns and features of PA performed during daily life. Objective. To verify the existence of possible relationships between spatiotemporal and kinematic parameters of gait and amount/intensity of PA, both instrumentally assessed. Methods. Eighteen individuals affected by PD (10F and 8M, age 68.0 ± 10.8 years, 1.5 ≤ Hoehn and Yahr (H&Y) < 3) were required to wear a triaxial accelerometer 24 h/day for 3 consecutive months. They also underwent a 3D computerized gait analysis at the beginning and end of the PA assessment period. The number of daily steps and PA intensity were calculated on the whole day, and the period from 6:00 to 24:00 was grouped into 3 time slots, using 3 different cut-point sets previously validated in the case of both pwPD and healthy older adults. 3D gait analysis provided spatiotemporal and kinematic parameters of gait, including summary indexes of quality (Gait Profile Score (GPS) and Gait Variable Score (GVS)). Results. The analysis of hourly trends of PA revealed the existence of two peaks located in the morning (approximately at 10) and in the early evening (between 18 and 19). However, during the morning time slot (06:00–12:00), pwPD performed significantly higher amounts of steps (4313 vs. 3437 in the 12:00–18:00 time slot, p<0.001, and vs. 2889 in the 18:00–24:00 time slot, p=0.021) and of moderate-to-vigorous PA (43.2% vs. 36.3% in the 12:00–18:00 time slot, p=0.002, and vs. 31.4% in the 18:00–24:00 time slot, p=0.049). The correlation analysis shows that several PA intensity parameters are significantly associated with swing-phase duration (rho = −0.675 for sedentary intensity, rho = 0.717 for moderate-to-vigorous intensity, p<0.001), cadence (rho = 0.509 for sedentary intensity, rho = −0.575 for moderate-to-vigorous intensity, p<0.05), and overall gait pattern quality as expressed by GPS (rho = −0.498 to −0.606 for moderate intensity, p<0.05) and GVS of knee flexion-extension (rho = −0.536 for moderate intensity, p<0.05). Conclusions. Long-term monitoring of PA integrated by the quantitative assessment of spatiotemporal and kinematic parameters of gait may represent a useful tool in supporting a better-targeted prescription of PA and rehabilitative treatments in pwPD.


2018 ◽  
Vol 9 (1) ◽  
pp. 147-153 ◽  
Author(s):  
Jianying He ◽  
Wenwen Zhong ◽  
Ming Zhang ◽  
Rongping Zhang ◽  
Weiyan Hu

AbstractParkinson’s disease, the second major neurodegenerative disease, has created a great impact on the elder people. Although the mechanisms underlying Parkinson’s disease are not fully understood, considerable evidence suggests that neuro-inflammation, oxidative stress, mitochondrial dysfunction, cell proliferation, differentiation and apoptosis are involved in the disease. p38MAPK, an important member of the mitogen-activated protein family, controls several important functions in the cell, suggesting a potential pathogenic role in PD. This review provides a brief description of the role and mechanism of p38MAPK in Parkinson’s disease.


1996 ◽  
Vol 27 (2) ◽  
pp. 235-255 ◽  
Author(s):  
Bettina Mohr ◽  
Viktor Müller ◽  
Regina Mattes ◽  
Regina Rosin ◽  
Barbara Federmann ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
pp. 192
Author(s):  
Piotr Gronek ◽  
Aline Nogueira Haas ◽  
Wojciech Czarny ◽  
Robert Podstawski ◽  
Marcela do Santos Delabary ◽  
...  

SAGE Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. 215824401877809 ◽  
Author(s):  
A. M. Johnson ◽  
J. Jimenez-Pardo ◽  
M. E. Jenkins ◽  
J. D. Holmes ◽  
S. M. Burke

Sign in / Sign up

Export Citation Format

Share Document