Wrist-based accelerometer cut-points for quantifying moderate-to-vigorous intensity physical activity in Parkinson’s disease

Author(s):  
Brenda Jeng ◽  
Katie L.J. Cederberg ◽  
Byron Lai ◽  
Jeffer E. Sasaki ◽  
Marcas M. Bamman ◽  
...  
PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0135899 ◽  
Author(s):  
Håkan Nero ◽  
Martin Benka Wallén ◽  
Erika Franzén ◽  
Agneta Ståhle ◽  
Maria Hagströmer

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.


2020 ◽  
Vol 52 (2) ◽  
pp. 398-407 ◽  
Author(s):  
JUNED SIDDIQUE ◽  
DAVID AABY ◽  
SAMANTHA E. MONTAG ◽  
STEPHEN SIDNEY ◽  
BARBARA STERNFELD ◽  
...  

2019 ◽  
Vol 38 (5) ◽  
pp. 503-510 ◽  
Author(s):  
Matthew B. Rhudy ◽  
Scott B. Dreisbach ◽  
Matthew D. Moran ◽  
Marissa J. Ruggiero ◽  
Praveen Veerabhadrappa

Author(s):  
Soyang Kwon ◽  
Kyle Honegger ◽  
Maryann Mason

Physical activity (PA) habits seem to track over time from as young as early childhood. For children under age 3 years, wearable sensor-measured PA levels have begun to be investigated. The aims of this study were to evaluate the feasibility of using hip- vs. wrist-worn accelerometers, and to report accelerometer-derived PA metrics among toddlers. A convenience sample of 22 toddlers aged 13 to 35 months and their mothers were recruited for this study. ActiGraph wGT3X-BT accelerometers were attached to wrist bands and waist belts. The mothers were asked to affix a wrist band and a waist belt to their participating children during waking hours for four days. They also completed an acceptability survey. Of the 22 toddlers, 19 (86%) had ≥ 3 valid days of hip data, while only 14 (64%) did so for wrist data (p = 0.16). In terms of acceptability, 18 mothers (82%) responded that the 4-day hip wear was easy, while only 13 (59%) responded that the 4-day wrist wear was easy (p = 0.19). Daily light-intensity PA (LPA) was on average 161 min, and daily moderate- and vigorous-intensity PA (MVPA) was on average 47 min, as determined using published hip accelerometer cut-points. There were no significant differences in LPA or MVPA by age or by sex. In conclusion, this study suggests that hip placement of an ActiGraph accelerometer is more feasible than wrist placement among toddlers.


2017 ◽  
Vol 36 (2) ◽  
pp. 206-212 ◽  
Author(s):  
Keith M. Diaz ◽  
David J. Krupka ◽  
Melinda J. Chang ◽  
Ian M. Kronish ◽  
Natalie Moise ◽  
...  

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 ◽  
...  

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