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e-Letters: Observations

Physical Activity in Patients With Type 2 Diabetes: The Case for Objective Measurement in Routine Clinical Care

  1. Nicole Oosterom1⇑,
  2. Christina M. Gant1,2,
  3. Niels Ruiterkamp3,
  4. Bert-Jan F. van Beijnum3,
  5. Hermie Hermens3,
  6. Stephan J.L. Bakker2,
  7. Gerjan Navis2,
  8. Miriam M.R. Vollenbroek-Hutten1,3 and
  9. Gozewijn D. Laverman1
  1. 1Division of Nephrology, Department of Internal Medicine, Ziekenhuisgroep Twente, Almelo, the Netherlands
  2. 2Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
  3. 3Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, the Netherlands
  1. Corresponding author: Nicole Oosterom, n.oosterom{at}zgt.nl.
Diabetes Care 2018 Apr; 41(4): e50-e51. https://doi.org/10.2337/dc17-2041
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To perform at least 150 min of moderate-to-vigorous physical activity (MVPA) per week is a major aim in type 2 diabetes treatment (1), but actual measurements are not routinely performed in clinical practice. We questioned whether subjective assessment of physical activity is accurate to guide lifestyle advice.

We compared the results of the Short Questionnaire to Assess Health–Enhancing Physical Activity (SQUASH) (2) and the Fitbit Flex accelerometer (3) in 50 patients with type 2 diabetes included in the DIAbetes and LifEstyle Cohort Twente (DIALECT) trial, which was approved by the local institutional review board METC-Twente (NL57219.044.16) (4).

Patients wore the Fitbit for 7 consecutive days and were instructed to maintain their usual activities. Raw Fitbit data (steps/min) were organized into ready variables by an algorithm written in MATLAB (MathWorks, Natick, MA). MVPA was defined as ≥95 steps/min (5). Patients maintained a diary regarding activities not detected by the Fitbit (i.e., cycling, swimming, and fitness). Data are presented as median (interquartile range). The association between log-transformed measured minutes of MVPA was tested using linear regression analyses and the difference between MVPA with the Wilcoxon test for paired nonparametric data.

Median age was 70 (63–76) years, median diabetes duration was 16 (10–21) years, 74% of the patients were male, 82% used insulin, and 84% had microvascular and 42% had macrovascular complications. According to SQUASH, patients had 165 (0–645) min of MVPA/week, and 20 participants (40%) adhered to the American Diabetes Association (ADA) recommendation of ≥150 min of MVPA/week (1) (Fig. 1). Fitbit data of >5 days were available in all patients. Median total steps per day were 4,277 (2,588–6,407), and 86% were able to reach ≥95 steps/min at some point during the measurement period. Based on the Fitbit data, patients had 23 (5–41) min of MVPA/week, and 1 (2%) participant adhered to the ADA guideline. When nonregistered activity was added, the figures increased to 31 (5–72) min of MVPA/week and 7 (14%) patients fulfilling the guideline. There was an association between SQUASH-assessed minutes of MVPA/week and Fitbit-assessed minutes of MVPA/week (β = 0.54, P < 0.001) (Fig. 1); however, the number of SQUASH-assessed minutes of MVPA/week was significantly and substantially higher (P < 0.001).

Figure 1
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Figure 1

Minutes of MVPA measured with SQUASH vs. minutes of MVPA measured with Fitbit. There was a correlation between measured minutes of MVPA between the two methods. However, in the majority of patients, the absolute number of weekly minutes of MVPA was substantially higher using the SQUASH results.

Subjective assessment grossly overestimated weekly MVPA compared with objective assessment. When self-reporting, roughly half of the patients seem to meet the MVPA recommendations, whereas objective measurements indicate this number is 14%, at best. A limitation is that the Fitbit Flex, while validated for measuring steps, does not register other activities. Currently, several types of activity trackers with additional functionalities have become available, and future research should evaluate which tracker is most appropriate for clinical use. Although it has not been tested as to whether overestimation of activity occurs in a wider array of patients with diabetes, the findings presented here clearly point out the importance of using objective measurements of activity. We propose to incorporate objective measurements of physical activity in the standard care for patients with type 2 diabetes. Such measurements can not only identify individuals at risk but also increase patient awareness of physical inactivity and help to evaluate interventions.

Article Information

Acknowledgments. The authors thank Ilse Hagedoorn, Michèle Lankheet, Rosan Nobbenhuis, and Yvette van den Berkhof, Ziekenhuisgroep Twente, for their contribution to patient inclusion. The authors thank Rene Vlaskamp, Ziekenhuisgroep Twente, for his assistance in making the information and communication infrastructure available for Fitbit.

Funding. This study was financially supported by a grant from the Pioneers in Health Care Innovation Fund, Twente.

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. N.O. and C.M.G. included the patients. N.O., C.M.G., and G.D.L. wrote the manuscript. N.O. and N.R. analyzed the data. B.-J.F.v.B., H.H., S.J.L.B., G.N., and M.M.R.V.-H. contributed to the discussion and reviewed the manuscript. B.-J.F.v.B., H.H., S.J.L.B., G.N., M.M.R.V.-H, and G.D.L. designed the study. G.D.L. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

  • Received September 29, 2017.
  • Accepted January 14, 2018.
  • © 2018 by the American Diabetes Association.
http://www.diabetesjournals.org/content/license

Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at http://www.diabetesjournals.org/content/license.

References

  1. ↵
    1. American Diabetes Association
    . Standards of Medical Care in Diabetes—2017 abridged for primary care providers. Clin Diabetes 2017;35:5–26
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    1. Wendel-Vos GC,
    2. Schuit AJ,
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    . Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. J Clin Epidemiol 2003;56:1163–1169
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    . Systematic review of the validity and reliability of consumer-wearable activity trackers. Int J Behav Nutr Phys Act 2015;12:159
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    1. Gant CM,
    2. Binnenmars SH,
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    . Integrated assessment of pharmacological and nutritional cardiovascular risk management: blood pressure control in the DIAbetes and LifEstyle Cohort Twente (DIALECT). Nutrients 2017;9:E709
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    . Walking cadence to exercise at moderate intensity for adults: a systematic review. J Sports Med (Hindawi Publ Corp) 2017;2017:4641203
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Physical Activity in Patients With Type 2 Diabetes: The Case for Objective Measurement in Routine Clinical Care
Nicole Oosterom, Christina M. Gant, Niels Ruiterkamp, Bert-Jan F. van Beijnum, Hermie Hermens, Stephan J.L. Bakker, Gerjan Navis, Miriam M.R. Vollenbroek-Hutten, Gozewijn D. Laverman
Diabetes Care Apr 2018, 41 (4) e50-e51; DOI: 10.2337/dc17-2041

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Physical Activity in Patients With Type 2 Diabetes: The Case for Objective Measurement in Routine Clinical Care
Nicole Oosterom, Christina M. Gant, Niels Ruiterkamp, Bert-Jan F. van Beijnum, Hermie Hermens, Stephan J.L. Bakker, Gerjan Navis, Miriam M.R. Vollenbroek-Hutten, Gozewijn D. Laverman
Diabetes Care Apr 2018, 41 (4) e50-e51; DOI: 10.2337/dc17-2041
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