Cargando…
Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study
Due to the positive effects of rehabilitation declining over time, the aim of this study was to investigate the long-term physical activity level (PAL) following inpatient rehabilitation in relation to the use of a smartphone-based after-care program. 202 patients (mean Body Mass Index (BMI): 30,8 k...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578577/ https://www.ncbi.nlm.nih.gov/pubmed/37844024 http://dx.doi.org/10.1371/journal.pdig.0000359 |
_version_ | 1785121546403053568 |
---|---|
author | Borst, Fabian Reuss-Borst, Monika Boschmann, Johannes Schwarz, Peter |
author_facet | Borst, Fabian Reuss-Borst, Monika Boschmann, Johannes Schwarz, Peter |
author_sort | Borst, Fabian |
collection | PubMed |
description | Due to the positive effects of rehabilitation declining over time, the aim of this study was to investigate the long-term physical activity level (PAL) following inpatient rehabilitation in relation to the use of a smartphone-based after-care program. 202 patients (mean Body Mass Index (BMI): 30,8 kg/m2; 61% female) with chronic diseases (e.g., diabetes mellitus, obesity, chronic low back pain, depression) were recruited between 08/2020 and 08/2021 in this single-arm observational study. All patients underwent a 3-week inpatient rehabilitation program. PAL (in total activity minutes/week) was measured with a validated (online) questionnaire (Freiburger Questionnaire on PA) after 3, 6, 9, and 12 months. App usage (online time, completion of a course) was recorded automatically and used to evaluate the app user behavior (adherence). A variety of socio-economic factors (age, sex, education level, income etc.) were collected to identify possible barriers of app use. Except for sex, no significant difference was observed for socio-economic factors regarding app usage behavior. Median PAL significantly increased after rehabilitation in the total cohort from 360 min/week (before rehabilitation) to 460 min/week 6 months after rehabilitation, then declined to 420 min/week 9 months after rehabilitation before falling below baseline level after 12 months. There was no significant difference in PAL between app users (45%, 91/202) and non-users (55%, 111/202), although app users tended to retain higher activity levels after 3 and 6 months, respectively. Overall, our study emphasizes the effectiveness of a 3-week rehabilitation program on PAL and the acceptance and usability of a smartphone-based after-care program in this patient group. The adherence to this 3-months after-care app program was acceptable (30%), with modest evidence supporting the effectiveness of app use to sustain PAL in the short term. |
format | Online Article Text |
id | pubmed-10578577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105785772023-10-17 Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study Borst, Fabian Reuss-Borst, Monika Boschmann, Johannes Schwarz, Peter PLOS Digit Health Research Article Due to the positive effects of rehabilitation declining over time, the aim of this study was to investigate the long-term physical activity level (PAL) following inpatient rehabilitation in relation to the use of a smartphone-based after-care program. 202 patients (mean Body Mass Index (BMI): 30,8 kg/m2; 61% female) with chronic diseases (e.g., diabetes mellitus, obesity, chronic low back pain, depression) were recruited between 08/2020 and 08/2021 in this single-arm observational study. All patients underwent a 3-week inpatient rehabilitation program. PAL (in total activity minutes/week) was measured with a validated (online) questionnaire (Freiburger Questionnaire on PA) after 3, 6, 9, and 12 months. App usage (online time, completion of a course) was recorded automatically and used to evaluate the app user behavior (adherence). A variety of socio-economic factors (age, sex, education level, income etc.) were collected to identify possible barriers of app use. Except for sex, no significant difference was observed for socio-economic factors regarding app usage behavior. Median PAL significantly increased after rehabilitation in the total cohort from 360 min/week (before rehabilitation) to 460 min/week 6 months after rehabilitation, then declined to 420 min/week 9 months after rehabilitation before falling below baseline level after 12 months. There was no significant difference in PAL between app users (45%, 91/202) and non-users (55%, 111/202), although app users tended to retain higher activity levels after 3 and 6 months, respectively. Overall, our study emphasizes the effectiveness of a 3-week rehabilitation program on PAL and the acceptance and usability of a smartphone-based after-care program in this patient group. The adherence to this 3-months after-care app program was acceptable (30%), with modest evidence supporting the effectiveness of app use to sustain PAL in the short term. Public Library of Science 2023-10-16 /pmc/articles/PMC10578577/ /pubmed/37844024 http://dx.doi.org/10.1371/journal.pdig.0000359 Text en © 2023 Borst et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Borst, Fabian Reuss-Borst, Monika Boschmann, Johannes Schwarz, Peter Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study |
title | Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study |
title_full | Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study |
title_fullStr | Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study |
title_full_unstemmed | Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study |
title_short | Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study |
title_sort | can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–a pilot-study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578577/ https://www.ncbi.nlm.nih.gov/pubmed/37844024 http://dx.doi.org/10.1371/journal.pdig.0000359 |
work_keys_str_mv | AT borstfabian canmobilehealthapplicationscontributetolongtermincreaseinphysicalactivityaftermedicalrehabilitationapilotstudy AT reussborstmonika canmobilehealthapplicationscontributetolongtermincreaseinphysicalactivityaftermedicalrehabilitationapilotstudy AT boschmannjohannes canmobilehealthapplicationscontributetolongtermincreaseinphysicalactivityaftermedicalrehabilitationapilotstudy AT schwarzpeter canmobilehealthapplicationscontributetolongtermincreaseinphysicalactivityaftermedicalrehabilitationapilotstudy |