Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study
Effectiveness of technology-based interventions to improve physical activity (PA) in people with COPD is controversial. Mixed results may be due to participants' characteristics influencing their use of and engagement with mobile health apps. This study compared demographic, clinical, physical...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:5e307d1f3a93422eaca7b3670d267f1c2021-11-04T04:50:59ZPhenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study2673-686110.3389/fresc.2021.729237https://doaj.org/article/5e307d1f3a93422eaca7b3670d267f1c2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fresc.2021.729237/fullhttps://doaj.org/toc/2673-6861Effectiveness of technology-based interventions to improve physical activity (PA) in people with COPD is controversial. Mixed results may be due to participants' characteristics influencing their use of and engagement with mobile health apps. This study compared demographic, clinical, physical and PA characteristics of patients with COPD using and not using mobile apps in daily life. Patients with COPD who used smartphones were asked about their sociodemographic and clinic characteristics, PA habits and use of mobile apps (general and PA-related). Participants performed a six-minute walk test (6MWT), gait speed test and wore an accelerometer for 7 days. Data were compared between participants using (App Users) and not using (Non-App Users) mobile apps. A sub-analysis was conducted comparing characteristics of PA–App Users and Non-Users. 59 participants were enrolled (73% Male; 66.3 ± 8.3 yrs; FEV1 48.7 ± 18.4% predicted): 59% were App Users and 25% were PA-App Users. Significant differences between App Users and Non-App Users were found for age (64.2 ± 8.9 vs. 69.2 ± 6.3yrs), 6MWT (462.9 ± 91.7 vs. 414.9 ± 82.3 m), Gait Speed (Median 1.5 [Q1–Q3: 1.4–1.8] vs. 2.0 [1.0–1.5]m/s), Time in Vigorous PA (0.6 [0.2–2.8] vs. 0.14 [0.1–0.7]min) and Self-Reported PA (4.0 [1.0–4.0] vs. 1.0 [0.0–4.0] Points). Differences between PA–App Users and Non-Users were found in time in sedentary behavior (764.1 [641.8–819.8] vs. 672.2 [581.2–749.4] min) and self-reported PA (4.0 [2.0–6.0] vs. 2.0 [0.0–4.0] points). People with COPD using mobile apps were younger and had higher physical capacity than their peers not using mobile apps. PA-App Users spent more time in sedentary behaviors than Non-Users although self-reporting more time in PA.Sofia FloraNádia HipólitoDina BrooksDina BrooksAlda MarquesAlda MarquesNuno MoraisNuno MoraisNuno MoraisCândida G. SilvaCândida G. SilvaCândida G. SilvaFernando SilvaJosé RibeiroRúben CaceiroRúben CaceiroBruno P. CarreiraBruno P. CarreiraBruno P. CarreiraChris BurtinChris BurtinSara PimentaJoana CruzJoana CruzJoana CruzAna OliveiraAna OliveiraAna OliveiraAna OliveiraFrontiers Media S.A.articleCOPDmHealthmobile appsphysical activitysmartphonesOther systems of medicineRZ201-999Medical technologyR855-855.5ENFrontiers in Rehabilitation Sciences, Vol 2 (2021) |
| institution |
DOAJ |
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DOAJ |
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EN |
| topic |
COPD mHealth mobile apps physical activity smartphones Other systems of medicine RZ201-999 Medical technology R855-855.5 |
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COPD mHealth mobile apps physical activity smartphones Other systems of medicine RZ201-999 Medical technology R855-855.5 Sofia Flora Nádia Hipólito Dina Brooks Dina Brooks Alda Marques Alda Marques Nuno Morais Nuno Morais Nuno Morais Cândida G. Silva Cândida G. Silva Cândida G. Silva Fernando Silva José Ribeiro Rúben Caceiro Rúben Caceiro Bruno P. Carreira Bruno P. Carreira Bruno P. Carreira Chris Burtin Chris Burtin Sara Pimenta Joana Cruz Joana Cruz Joana Cruz Ana Oliveira Ana Oliveira Ana Oliveira Ana Oliveira Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study |
| description |
Effectiveness of technology-based interventions to improve physical activity (PA) in people with COPD is controversial. Mixed results may be due to participants' characteristics influencing their use of and engagement with mobile health apps. This study compared demographic, clinical, physical and PA characteristics of patients with COPD using and not using mobile apps in daily life. Patients with COPD who used smartphones were asked about their sociodemographic and clinic characteristics, PA habits and use of mobile apps (general and PA-related). Participants performed a six-minute walk test (6MWT), gait speed test and wore an accelerometer for 7 days. Data were compared between participants using (App Users) and not using (Non-App Users) mobile apps. A sub-analysis was conducted comparing characteristics of PA–App Users and Non-Users. 59 participants were enrolled (73% Male; 66.3 ± 8.3 yrs; FEV1 48.7 ± 18.4% predicted): 59% were App Users and 25% were PA-App Users. Significant differences between App Users and Non-App Users were found for age (64.2 ± 8.9 vs. 69.2 ± 6.3yrs), 6MWT (462.9 ± 91.7 vs. 414.9 ± 82.3 m), Gait Speed (Median 1.5 [Q1–Q3: 1.4–1.8] vs. 2.0 [1.0–1.5]m/s), Time in Vigorous PA (0.6 [0.2–2.8] vs. 0.14 [0.1–0.7]min) and Self-Reported PA (4.0 [1.0–4.0] vs. 1.0 [0.0–4.0] Points). Differences between PA–App Users and Non-Users were found in time in sedentary behavior (764.1 [641.8–819.8] vs. 672.2 [581.2–749.4] min) and self-reported PA (4.0 [2.0–6.0] vs. 2.0 [0.0–4.0] points). People with COPD using mobile apps were younger and had higher physical capacity than their peers not using mobile apps. PA-App Users spent more time in sedentary behaviors than Non-Users although self-reporting more time in PA. |
| format |
article |
| author |
Sofia Flora Nádia Hipólito Dina Brooks Dina Brooks Alda Marques Alda Marques Nuno Morais Nuno Morais Nuno Morais Cândida G. Silva Cândida G. Silva Cândida G. Silva Fernando Silva José Ribeiro Rúben Caceiro Rúben Caceiro Bruno P. Carreira Bruno P. Carreira Bruno P. Carreira Chris Burtin Chris Burtin Sara Pimenta Joana Cruz Joana Cruz Joana Cruz Ana Oliveira Ana Oliveira Ana Oliveira Ana Oliveira |
| author_facet |
Sofia Flora Nádia Hipólito Dina Brooks Dina Brooks Alda Marques Alda Marques Nuno Morais Nuno Morais Nuno Morais Cândida G. Silva Cândida G. Silva Cândida G. Silva Fernando Silva José Ribeiro Rúben Caceiro Rúben Caceiro Bruno P. Carreira Bruno P. Carreira Bruno P. Carreira Chris Burtin Chris Burtin Sara Pimenta Joana Cruz Joana Cruz Joana Cruz Ana Oliveira Ana Oliveira Ana Oliveira Ana Oliveira |
| author_sort |
Sofia Flora |
| title |
Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study |
| title_short |
Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study |
| title_full |
Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study |
| title_fullStr |
Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study |
| title_full_unstemmed |
Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study |
| title_sort |
phenotyping adopters of mobile applications among patients with copd: a cross-sectional study |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/5e307d1f3a93422eaca7b3670d267f1c |
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