| Title |
Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes
|
|---|---|
| Published in |
BMC Sports Science, Medicine and Rehabilitation, October 2016
|
| DOI | 10.1186/s13102-016-0056-7 |
| Pubmed ID | |
| Authors |
Cecilie Fau Brinkløv, Ida Kær Thorsen, Kristian Karstoft, Charlotte Brøns, Laura Valentiner, Henning Langberg, Allan Arthur Vaag, Jens Steen Nielsen, Bente Klarlund Pedersen, Mathias Ried-Larsen |
| Abstract |
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. 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). VO2 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 VO2peak 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). The overall VO2peak 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. 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. www.clinicaltrials.org (NCT02089477), first registered (prospectively) on March 14th 2014. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 85 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Student > Master | 14 | 16% |
| Student > Bachelor | 11 | 13% |
| Student > Doctoral Student | 9 | 10% |
| Professor | 3 | 3% |
| Other | 12 | 14% |
| Unknown | 19 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 13 | 15% |
| Sports and Recreations | 13 | 15% |
| Medicine and Dentistry | 10 | 12% |
| Agricultural and Biological Sciences | 4 | 5% |
| Computer Science | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 29 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2016.
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#18,475,157
of 22,893,031 outputs
Outputs from BMC Sports Science, Medicine and Rehabilitation
#417
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#242,461
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Outputs of similar age from BMC Sports Science, Medicine and Rehabilitation
#9
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