Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes
- PMID: 28174664
- PMCID: PMC5290632
- DOI: 10.1186/s13102-016-0056-7
Criterion validity and reliability of a smartphone delivered sub-maximal fitness test for people with type 2 diabetes
Abstract
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/m2, (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).
Results: The overall VO2peak prediction of the algorithm (R2) 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.
Keywords: Exercise; Fitness; Reliability; Smartphone; Type 2 diabetes mellitus; Validity.
Figures
Similar articles
-
Smartphone App (2kmFIT-App) for Measuring Cardiorespiratory Fitness: Validity and Reliability Study.JMIR Mhealth Uhealth. 2021 Jan 8;9(1):e14864. doi: 10.2196/14864. JMIR Mhealth Uhealth. 2021. PMID: 33416503 Free PMC article.
-
Feasibility, validity and reliability of objective smartphone measurements of physical activity and fitness in patients with cancer.BMC Cancer. 2018 Oct 29;18(1):1052. doi: 10.1186/s12885-018-4983-4. BMC Cancer. 2018. PMID: 30373549 Free PMC article.
-
Smartphone App-Based Assessment of Gait During Normal and Dual-Task Walking: Demonstration of Validity and Reliability.JMIR Mhealth Uhealth. 2018 Jan 30;6(1):e36. doi: 10.2196/mhealth.8815. JMIR Mhealth Uhealth. 2018. PMID: 29382625 Free PMC article.
-
Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial.J Med Internet Res. 2015 Aug 27;17(8):e210. doi: 10.2196/jmir.4568. J Med Internet Res. 2015. PMID: 26316499 Free PMC article. Clinical Trial.
-
Smartphone apps to improve fitness and increase physical activity among young people: protocol of the Apps for IMproving FITness (AIMFIT) randomized controlled trial.BMC Public Health. 2015 Jul 11;15:635. doi: 10.1186/s12889-015-1968-y. BMC Public Health. 2015. PMID: 26159834 Free PMC article. Clinical Trial.
Cited by
-
The Effects of a Lifestyle Intervention Supported by the InterWalk Smartphone App on Increasing Physical Activity Among Persons With Type 2 Diabetes: Parallel-Group, Randomized Trial.JMIR Mhealth Uhealth. 2022 Sep 28;10(9):e30602. doi: 10.2196/30602. JMIR Mhealth Uhealth. 2022. PMID: 36170002 Free PMC article. Clinical Trial.
-
Resting Metabolic Rate in Women with Endocrine and Osteoporotic Disorders in Relation to Nutritional Status, Diet and 25(OH)D Concentration.Int J Environ Res Public Health. 2022 Mar 7;19(5):3118. doi: 10.3390/ijerph19053118. Int J Environ Res Public Health. 2022. PMID: 35270809 Free PMC article.
-
Test-Retest Reliability of Home-Based Fitness Assessments Using a Mobile App (R Plus Health) in Healthy Adults: Prospective Quantitative Study.JMIR Form Res. 2021 Dec 8;5(12):e28040. doi: 10.2196/28040. JMIR Form Res. 2021. PMID: 34657835 Free PMC article.
-
The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review.Sensors (Basel). 2021 Jul 14;21(14):4808. doi: 10.3390/s21144808. Sensors (Basel). 2021. PMID: 34300546 Free PMC article. Review.
-
A Multidomain Approach to Assessing the Convergent and Concurrent Validity of a Mobile Application When Compared to Conventional Methods of Determining Body Composition.Sensors (Basel). 2020 Oct 29;20(21):6165. doi: 10.3390/s20216165. Sensors (Basel). 2020. PMID: 33138133 Free PMC article.
References
-
- Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2197–2223. doi: 10.1016/S0140-6736(12)61689-4. - DOI - PubMed
-
- Garber CE, Blissmer B, Deschenes MR, Franklin BA, LaMonte MJ, Lee IM, et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. 2011;43:1334–1359. doi: 10.1249/MSS.0b013e318213fefb. - DOI - PubMed
Associated data
LinkOut - more resources
Full Text Sources
Other Literature Sources