Cargando…
Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes
BACKGROUND: Prevention of multi-morbidities following non-communicable diseases requires a systematic registration of adverse modifiable risk factors, including low physical fitness. The aim of the study was to establish criterion validity and reliability of a smartphone app (InterWalk) delivered fi...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290632/ https://www.ncbi.nlm.nih.gov/pubmed/28174664 http://dx.doi.org/10.1186/s13102-016-0056-7 |
_version_ | 1782504671473041408 |
---|---|
author | Brinkløv, Cecilie Fau Thorsen, Ida Kær Karstoft, Kristian Brøns, Charlotte Valentiner, Laura Langberg, Henning Vaag, Allan Arthur Nielsen, Jens Steen Pedersen, Bente Klarlund Ried-Larsen, Mathias |
author_facet | Brinkløv, Cecilie Fau Thorsen, Ida Kær Karstoft, Kristian Brøns, Charlotte Valentiner, Laura Langberg, Henning Vaag, Allan Arthur Nielsen, Jens Steen Pedersen, Bente Klarlund Ried-Larsen, Mathias |
author_sort | Brinkløv, Cecilie Fau |
collection | PubMed |
description | BACKGROUND: Prevention of multi-morbidities following non-communicable diseases requires a systematic registration of adverse modifiable risk factors, including low physical fitness. The aim of the study was to establish criterion validity and reliability of a smartphone app (InterWalk) delivered fitness test in patients with type 2 diabetes. METHODS: Patients with type 2 diabetes (N = 27, mean (SD) age 64.2 (5.9) years, BMI 30.0 (5.1) kg/m(2), (30 % male)) completed a 7-min progressive walking protocol twice (with and without encouragement). VO(2) during the test was assessed using indirect calorimetry and the acceleration (vector magnitude) from the smartphone was obtained. The vector magnitude was used to predict VO(2peak) along with the co-variates weight, height and sex. The validity of the algorithm was tested when the smartphone was placed in the right pocket of the pants or jacket. The algorithm was validated using leave-one-out cross validation. Test-retest reliability was tested in a subset of participants (N = 10). RESULTS: The overall VO(2peak) prediction of the algorithm (R(2)) was 0.60 and 0.45 when the smartphone was placed in the pockets of the pants and jacket, respectively (p < 0.001). The mean bias (limits of agreement) in the cross validation was−0.4 (38) % (pants) and−0.1 (46) % (jacket). When the smartphone was placed in the jacket a significant intensity dependent bias (r = 0.5, p = 0.02) was observed. The test-retest intraclass correlations were 0.85 and 0.86 (p < 0.001), for the pants and jacket, respectively. No effects of encouragement were observed on test performance. CONCLUSION: In conclusion, the InterWalk Fitness Test is accurate and reliable for persons with type 2 diabetes when the smartphone is placed in the side pocket of the pants for. The test could give a fair estimate of the CRF in absence of a progressive maximal test during standardized conditions with the appropriate equipment. TRIAL REGISTRATION: www.clinicaltrials.org (NCT02089477), first registered (prospectively) on March 14th 2014 |
format | Online Article Text |
id | pubmed-5290632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52906322017-02-07 Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes Brinkløv, Cecilie Fau Thorsen, Ida Kær Karstoft, Kristian Brøns, Charlotte Valentiner, Laura Langberg, Henning Vaag, Allan Arthur Nielsen, Jens Steen Pedersen, Bente Klarlund Ried-Larsen, Mathias BMC Sports Sci Med Rehabil Technical Advance BACKGROUND: Prevention of multi-morbidities following non-communicable diseases requires a systematic registration of adverse modifiable risk factors, including low physical fitness. The aim of the study was to establish criterion validity and reliability of a smartphone app (InterWalk) delivered fitness test in patients with type 2 diabetes. METHODS: Patients with type 2 diabetes (N = 27, mean (SD) age 64.2 (5.9) years, BMI 30.0 (5.1) kg/m(2), (30 % male)) completed a 7-min progressive walking protocol twice (with and without encouragement). VO(2) during the test was assessed using indirect calorimetry and the acceleration (vector magnitude) from the smartphone was obtained. The vector magnitude was used to predict VO(2peak) along with the co-variates weight, height and sex. The validity of the algorithm was tested when the smartphone was placed in the right pocket of the pants or jacket. The algorithm was validated using leave-one-out cross validation. Test-retest reliability was tested in a subset of participants (N = 10). RESULTS: The overall VO(2peak) prediction of the algorithm (R(2)) was 0.60 and 0.45 when the smartphone was placed in the pockets of the pants and jacket, respectively (p < 0.001). The mean bias (limits of agreement) in the cross validation was−0.4 (38) % (pants) and−0.1 (46) % (jacket). When the smartphone was placed in the jacket a significant intensity dependent bias (r = 0.5, p = 0.02) was observed. The test-retest intraclass correlations were 0.85 and 0.86 (p < 0.001), for the pants and jacket, respectively. No effects of encouragement were observed on test performance. CONCLUSION: In conclusion, the InterWalk Fitness Test is accurate and reliable for persons with type 2 diabetes when the smartphone is placed in the side pocket of the pants for. The test could give a fair estimate of the CRF in absence of a progressive maximal test during standardized conditions with the appropriate equipment. TRIAL REGISTRATION: www.clinicaltrials.org (NCT02089477), first registered (prospectively) on March 14th 2014 BioMed Central 2016-10-07 /pmc/articles/PMC5290632/ /pubmed/28174664 http://dx.doi.org/10.1186/s13102-016-0056-7 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Technical Advance Brinkløv, Cecilie Fau Thorsen, Ida Kær Karstoft, Kristian Brøns, Charlotte Valentiner, Laura Langberg, Henning Vaag, Allan Arthur Nielsen, Jens Steen Pedersen, Bente Klarlund Ried-Larsen, Mathias Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes |
title | Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes |
title_full | Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes |
title_fullStr | Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes |
title_full_unstemmed | Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes |
title_short | Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes |
title_sort | criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290632/ https://www.ncbi.nlm.nih.gov/pubmed/28174664 http://dx.doi.org/10.1186/s13102-016-0056-7 |
work_keys_str_mv | AT brinkløvceciliefau criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT thorsenidakær criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT karstoftkristian criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT brønscharlotte criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT valentinerlaura criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT langberghenning criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT vaagallanarthur criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT nielsenjenssteen criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT pedersenbenteklarlund criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes AT riedlarsenmathias criterionvalidityandreliabilityofasmartphonedeliveredsubmaximalfitnesstestforpeoplewithtype2diabetes |