Literature DB >> 29307560

The association between objectively measured physical activity, depression, cognition, and health-related quality of life in Parkinson's disease.

Janet M T van Uem1, Bernhard Cerff2, Malte Kampmeyer2, Jos Prinzen3, Menno Zuidema3, Markus A Hobert4, Susanne Gräber2, Daniela Berg4, Walter Maetzler4, Inga Liepelt-Scarfone2.   

Abstract

BACKGROUND: Lower levels of physical activity are associated with lower Health-Related Quality of Life (HRQoL) in Parkinson's disease (PD). We evaluated the influence of quantitative physical activity parameters among other (disease-related) features representing other domains of the WHO International model for classification of Function, Disability, and Health (ICF) on HRQoL in PD.
METHODS: Home-based movement data (DynaPort MiniMod®) was collected in 47 PD patients. Nine stepwise regression models were calculated, with consecutive outcome variables: Parkinson's Disease Questionnaire (PDQ) Summary Index (SI), PDQ-Mobility, PDQ-Activities of Daily Living (ADL). Demographic variables, disease-specific features, and quantitative physical activity parameters, were included as predicting variables in all analyses. The following three physical activity parameters were alternately included for both sedentary and active episodes: 'percentage' of 24 h spent within these episodes, 'number of bouts', and 'mean bout lengths' (MBL).
RESULTS: Depression and 'Total Energy Expenditure' were the main predictors of overall HRQoL (PDQ-SI), independent of the permutation of activity parameters. The same parameters predicted the PDQ-Mobility score. However, this result was altered when 'MBL' parameters were included into the model, 'MBL' of sedentary episodes additionally predicted HRQoL-Mobility. The PDQ-ADL score was associated with demographic, motor, and non-motor variables including cognitive status. After exclusion of demented PD patients, older age and cognitive impairment no longer constrained HRQoL-ADL. DISCUSSION: For the first time, we showed the influence of objective, home-based measured physical activity among depression and cognition on HRQoL in PD. This suggests that a multifactorial treatment approach would be most successful to increase HRQoL in PD.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Activities of daily living; Cognition; Health-related quality of life; Home environment; Parkinson's disease; Wearables

Mesh:

Year:  2017        PMID: 29307560     DOI: 10.1016/j.parkreldis.2017.12.023

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  10 in total

1.  Determinants of Quality of Life According to Cognitive Status in Parkinson's Disease.

Authors:  Yun Fan; Xiaoniu Liang; Linlin Han; Yan Shen; Bo Shen; Chen Chen; Yimin Sun; Jian Wang; Yilin Tang
Journal:  Front Aging Neurosci       Date:  2020-08-20       Impact factor: 5.750

2.  Predictors of physical activity levels in individuals with Parkinson's disease: a cross-sectional study.

Authors:  Jéssica Soares Feliciano; Samara Maria Alves Rodrigues; Raquel de Carvalho Lana; Janaine Cunha Polese
Journal:  Neurol Sci       Date:  2020-09-01       Impact factor: 3.307

3.  Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment.

Authors:  Catherine Morgan; Michal Rolinski; Roisin McNaney; Bennet Jones; Lynn Rochester; Walter Maetzler; Ian Craddock; Alan L Whone
Journal:  J Parkinsons Dis       Date:  2020       Impact factor: 5.568

4.  Association between Objectively Measured Physical Activity and Gait Patterns in People with Parkinson's Disease: Results from a 3-Month Monitoring.

Authors:  Micaela Porta; Giuseppina Pilloni; Roberta Pili; Carlo Casula; Mauro Murgia; Giovanni Cossu; Massimiliano Pau
Journal:  Parkinsons Dis       Date:  2018-10-17

5.  The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke.

Authors:  Malou H J Fanchamps; Herwin L D Horemans; Gerard M Ribbers; Henk J Stam; Johannes B J Bussmann
Journal:  Sensors (Basel)       Date:  2018-07-05       Impact factor: 3.576

Review 6.  Mobility Deficits Assessed With Mobile Technology: What Can We Learn From Brain Iron-Altered Animal Models?

Authors:  Franziska Hopfner; Markus A Hobert; Corina Maetzler; Clint Hansen; Minh Hoang Pham; Caroline Moreau; Daniela Berg; David Devos; Walter Maetzler
Journal:  Front Neurol       Date:  2019-08-08       Impact factor: 4.003

Review 7.  Wearable GPS and Accelerometer Technologies for Monitoring Mobility and Physical Activity in Neurodegenerative Disorders: A Systematic Review.

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

8.  Factors Influencing Habitual Physical Activity in Parkinson's Disease: Considering the Psychosocial State and Wellbeing of People with Parkinson's and Their Carers.

Authors:  Ríona Mc Ardle; Silvia Del Din; Rosie Morris; Lisa Alcock; Alison J Yarnall; David J Burn; Lynn Rochester; Rachael A Lawson
Journal:  Sensors (Basel)       Date:  2022-01-24       Impact factor: 3.576

9.  COVID-19 pandemic and the international classification of functioning in multiple system atrophy: a cross-sectional, nationwide survey in Japan.

Authors:  Koshiro Haruyama; Michiyuki Kawakami; Ichiro Miyai; Shuko Nojiri; Toshiyuki Fujiwara
Journal:  Sci Rep       Date:  2022-08-19       Impact factor: 4.996

Review 10.  Physical Activity and Public Health among People with Disabilities: Research Gaps and Recommendations.

Authors:  Gregory W Heath; David Levine
Journal:  Int J Environ Res Public Health       Date:  2022-08-22       Impact factor: 4.614

  10 in total

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