Philip von Rosen1, Maria Hagströmer2,3,4, Erika Franzén2,5,6, Breiffni Leavy2,6. 1. Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden. philip.von.rosen@ki.se. 2. Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 83, Huddinge, Sweden. 3. Academic Primary Care Center, Region Stockholm, Stockholm, Sweden. 4. Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden. 5. Karolinska University Hospital, Medical unit Occupational Therapy & Physiotherapy, Theme Women's Health and Allied Health Professionals, Stockholm, Sweden. 6. Stockholms Sjukhem Foundation, Reseach and Development Department, Stockholm, Sweden.
Abstract
BACKGROUND: Identifying physical activity (PA) profiles of people with Parkinson's Disease (PD) could provide clinically meaningful knowledge concerning how to tailor PA interventions. Our objectives were therefore to i) identify distinct PA profiles in people with PD based on accelerometer data, ii) explore differences between the profiles regarding personal characteristics and physical function. METHODS: Accelerometer data from 301 participants (43% women, mean age: 71 years) was analysed using latent profile analyses of 15 derived PA variables. Physical function measurements included balance performance, comfortable gait speed and single and dual-task functional mobility. RESULTS: Three distinct profiles were identified; "Sedentary" (N = 68), "Light Movers" (N = 115), "Steady Movers" (N = 118). "Sedentary" included people with PD with high absolute and relative time spent in Sedentary behaviour (SB), little time light intensity physical activity (LIPA) and negligible moderate-to-vigorous physical activity (MVPA). "Light Movers" were people with PD with values close to the mean for all activity variables. "Steady Movers" spent less time in SB during midday, and more time in LIPA and MVPA throughout the day, compared to the other profiles. "Sedentary" people had poorer balance (P = 0.006), poorer functional mobility (P = 0.027) and were more likely to have fallen previously (P = 0.027), compared to "Light Movers. The Timed Up and Go test, an easily performed clinical test of functional mobility, was the only test that could distinguish between all three profiles. CONCLUSION: Distinct PA profiles, with clear differences in how the time awake is spent exist among people with mild-moderate PD.
BACKGROUND: Identifying physical activity (PA) profiles of people with Parkinson's Disease (PD) could provide clinically meaningful knowledge concerning how to tailor PA interventions. Our objectives were therefore to i) identify distinct PA profiles in people with PD based on accelerometer data, ii) explore differences between the profiles regarding personal characteristics and physical function. METHODS: Accelerometer data from 301 participants (43% women, mean age: 71 years) was analysed using latent profile analyses of 15 derived PA variables. Physical function measurements included balance performance, comfortable gait speed and single and dual-task functional mobility. RESULTS: Three distinct profiles were identified; "Sedentary" (N = 68), "Light Movers" (N = 115), "Steady Movers" (N = 118). "Sedentary" included people with PD with high absolute and relative time spent in Sedentary behaviour (SB), little time light intensity physical activity (LIPA) and negligible moderate-to-vigorous physical activity (MVPA). "Light Movers" were people with PD with values close to the mean for all activity variables. "Steady Movers" spent less time in SB during midday, and more time in LIPA and MVPA throughout the day, compared to the other profiles. "Sedentary" people had poorer balance (P = 0.006), poorer functional mobility (P = 0.027) and were more likely to have fallen previously (P = 0.027), compared to "Light Movers. The Timed Up and Go test, an easily performed clinical test of functional mobility, was the only test that could distinguish between all three profiles. CONCLUSION: Distinct PA profiles, with clear differences in how the time awake is spent exist among people with mild-moderate PD.
Authors: Serene S Paul; Terry D Ellis; Leland E Dibble; Gammon M Earhart; Matthew P Ford; K Bo Foreman; James T Cavanaugh Journal: J Parkinsons Dis Date: 2016-05-05 Impact factor: 5.568
Authors: Kenneth E Powell; Abby C King; David M Buchner; Wayne W Campbell; Loretta DiPietro; Kirk I Erickson; Charles H Hillman; John M Jakicic; Kathleen F Janz; Peter T Katzmarzyk; William E Kraus; Richard F Macko; David X Marquez; Anne McTiernan; Russell R Pate; Linda S Pescatello; Melicia C Whitt-Glover Journal: J Phys Act Health Date: 2018-12-17
Authors: Roy Elbers; Erwin E H van Wegen; Lynn Rochester; Victoria Hetherington; Alice Nieuwboer; Anne-Marie Willems; Diana Jones; Gert Kwakkel Journal: Mov Disord Date: 2009-07-30 Impact factor: 10.338
Authors: Claire L Tomlinson; Smitaa Patel; Charmaine Meek; Clare P Herd; Carl E Clarke; Rebecca Stowe; Laila Shah; Catherine M Sackley; Katherine H O Deane; Keith Wheatley; Natalie Ives Journal: Cochrane Database Syst Rev Date: 2013-09-10
Authors: Rafael Mesquita; Gabriele Spina; Fabio Pitta; David Donaire-Gonzalez; Brenda M Deering; Mehul S Patel; Katy E Mitchell; Jennifer Alison; Arnoldus Jr van Gestel; Stefanie Zogg; Philippe Gagnon; Beatriz Abascal-Bolado; Barbara Vagaggini; Judith Garcia-Aymerich; Sue C Jenkins; Elisabeth Apm Romme; Samantha Sc Kon; Paul S Albert; Benjamin Waschki; Dinesh Shrikrishna; Sally J Singh; Nicholas S Hopkinson; David Miedinger; Roberto P Benzo; François Maltais; Pierluigi Paggiaro; Zoe J McKeough; Michael I Polkey; Kylie Hill; William D-C Man; Christian F Clarenbach; Nidia A Hernandes; Daniela Savi; Sally Wootton; Karina C Furlanetto; Li W Cindy Ng; Anouk W Vaes; Christine Jenkins; Peter R Eastwood; Diana Jarreta; Anne Kirsten; Dina Brooks; David R Hillman; Thaís Sant'Anna; Kenneth Meijer; Selina Dürr; Erica Pa Rutten; Malcolm Kohler; Vanessa S Probst; Ruth Tal-Singer; Esther Garcia Gil; Albertus C den Brinker; Jörg D Leuppi; Peter Ma Calverley; Frank Wjm Smeenk; Richard W Costello; Marco Gramm; Roger Goldstein; Miriam Tj Groenen; Helgo Magnussen; Emiel Fm Wouters; Richard L ZuWallack; Oliver Amft; Henrik Watz; Martijn A Spruit Journal: Chron Respir Dis Date: 2017-02-24 Impact factor: 2.444
Authors: Mícheál Ó Breasail; Bijetri Biswas; Matthew D Smith; Md Khadimul A Mazhar; Emma Tenison; Anisha Cullen; Fiona E Lithander; Anne Roudaut; Emily J Henderson Journal: Sensors (Basel) Date: 2021-12-10 Impact factor: 3.576