Portable Gentle Jogger Improves Glycemic Indices in Type 2 Diabetic and Healthy Subjects Living at Home: A Pilot Study

Jose A Adams, Veronica Banderas, Jose R Lopez, Marvin A Sackner, Jose A Adams, Veronica Banderas, Jose R Lopez, Marvin A Sackner

Abstract

Background: Physical inactivity is a high-risk factor for type 2 diabetes. Increased physical activity improves indices of glycemic control. Continuous glucose monitoring (CGM) allows the investigation of glycemic control during activities of daily living. A pilot study was undertaken to determine the effects of the portable Gentle Jogger (passive simulated jogging device (JD)) that decreases physical inactivity by effortlessly producing body movements on glycemic indices of healthy and type 2 diabetes subjects using CGM during activities of daily living.

Methods: A single-arm, nonblinded study was carried out in 22 volunteers (11 type 2 diabetics and 11 healthy subjects), using continuous glucose monitoring (CGM) for 14 days. On day 4, subjects were provided with JD and instructed to use it a minimum of 3 times per day for 30 min for 7 days. CGM data was analyzed at baseline (BL) and during 2, 3, 4, 5, 6, and 7 days of JD (JD 2, 3, 4, 5, 6, 7) and 1-2-day post JD (Post JD1 and 2) and the following 24 hr indices computed mean glucose (mGLu), SUM of all glucose values, % coefficient of variation (%CV), area under the 24-hour curve (AUC), time spent above range (TAR, glucose 180-250 mg/dl), and time in range (TIR).

Results: In healthy subjects, there were significantly lower values of mGlu and SUM compared to BL for all days of JD usage. In type 2 diabetics, mGlu, SUM, and AUC were significantly lower compared to BL, for all days of JD usage and Post JD1. TAR was significantly lower and TIR significantly improved during JD, in type 2 diabetics without change in %CV.

Conclusion: Gentle Jogger is a portable, passive movement technology that reduces physical inactivity while improving 24 hr glycemic control. It can be self-administered as a standalone device or as an adjunct to diabetic medications. This trial is registered with NCT03550105.

Conflict of interest statement

JAA performs research for Sackner Wellness Products LLC and is a US copatent holder for Gentle Jogger®, the passive simulated jogging device. VB is a part time study coordinator and employee of Sackner Wellness Products LLC. JRL is a research scientist consultant with Sackner Wellness Products LLC. MAS is the president of Sackner Wellness Products LLC and is a US copatent holder for Gentle Jogger®, the passive simulated jogging device.

Copyright © 2020 Jose A. Adams et al.

Figures

Figure 1
Figure 1
Gentle Jogger (JD). The motorized pedals of the Gentle Jogger repetitively tap against a semirigid surface for simulation of locomotion while subjects are seated or lying in bed.
Figure 2
Figure 2
Representative twenty-four-hour glucose values for healthy and diabetic subjects. Twenty-four-hour raw glucose data (mg/dl) obtained from the continuous glucose monitor (CGM) at baseline (BL), 2 and 7 days of JD use (JD2, JD7), and 1 and 2 days after JD use (Post JD1, Post JD2). (a) Healthy subject. (b) Type 2 diabetic subject.
Figure 3
Figure 3
The effects of JD on glycemic indices in healthy adults. Twenty-four-hour data at baseline (BL), 2, 3, 4, 5, 6, and 7 days of jogging device (JD 2, 3, 4, 5, 6, 7) and 1 and 2 days after JD (Post JD 1, 2): (a) mean glucose (mGlu) (mg/dl), (b) 24 hr sum of glucose (SUM), (c) coefficient of variability (%CV), and (d) 24 hr area under the curve (AUC). Each point represents an individual subject, with mean and standard deviations for the group. ∗p < 0.01 compared to BL.
Figure 4
Figure 4
The effects of JD on glycemic indices in type 2 diabetics. Twenty-four-hour data at baseline (BL), 2, 3, 4, 5, 6, and 7 days of jogging device (JD 2, 3, 4, 5, 6, 7) and 1 and 2 days after JD (Post JD 1, 2): (a) mean glucose (mGlu) (mg/dl), (b) 24 hr sum of glucose values (SUM), (c) coefficient of variability (%CV), and (d) 24 hr area under the curve (AUC). Each point represents an individual subject, with the mean and standard deviations for the group. ∗p < 0.01 compared to BL.

References

    1. American Diabetes Association. Economic costs of diabetes in the U.S. in 2017. Diabetes Care. 2018;41(5):917–928. doi: 10.2337/dci18-0007.
    1. Bommer C., Sagalova V., Heesemann E., et al. Global economic burden of diabetes in adults: projections from 2015 to 2030. Diabetes Care. 2018;41(5):963–970. doi: 10.2337/dc17-1962.
    1. Yang L., Cao C., Kantor E. D., et al. Trends in sedentary behavior among the US population, 2001-2016. Journal of the American Medical Association. 2019;321(16):1587–1597. doi: 10.1001/jama.2019.3636.
    1. American Diabetes Association. 5. Lifestyle Management:Standards of medical care in diabetes—2019. Diabetes Care. 2019;42(Supplement 1):S46–S60. doi: 10.2337/dc19-S005.
    1. American Diabetes Association. 6. Glycemic Targets:Standards of medical care in diabetes-2019. Diabetes Care. 2019;42(Supplement 1):S61–S70. doi: 10.2337/dc19-S006.
    1. Prince S. A., Elliott C. G., Scott K., Visintini S., Reed J. L. Device-measured physical activity, sedentary behaviour and cardiometabolic health and fitness across occupational groups: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity. 2019;16(1):p. 30. doi: 10.1186/s12966-019-0790-9.
    1. Fletcher G. F., Landolfo C., Niebauer J., Ozemek C., Arena R., Lavie C. J. Reprint of: promoting physical activity and exercise: JACC health promotion series. Journal of the American College of Cardiology. 2018;72(23, Part B):3053–3070. doi: 10.1016/j.jacc.2018.10.025.
    1. Lavie C. J., Ozemek C., Carbone S., Katzmarzyk P. T., Blair S. N. Sedentary behavior, exercise, and cardiovascular health. Circulation Research. 2019;124(5):799–815. doi: 10.1161/CIRCRESAHA.118.312669.
    1. Sackner M. A., Patel S., Adams J. A. Changes of blood pressure following initiation of physical inactivity and after external addition of pulses to circulation. European Journal of Applied Physiology. 2019;119(1):201–211. doi: 10.1007/s00421-018-4016-7.
    1. Adams J. A., Patel S., Lopez J. R., Sackner M. A. The effects of passive simulated jogging on short-term heart rate variability in a heterogeneous group of human subjects. Journal of Sports Medicine. 2018;2018:9. doi: 10.1155/2018/4340925.4340925
    1. Sansbury B. E., Hill B. G. Regulation of obesity and insulin resistance by nitric oxide. Free Radical Biology and Medicine. 2014;73:383–399. doi: 10.1016/j.freeradbiomed.2014.05.016.
    1. Kim F., Pham M., Maloney E., et al. Vascular inflammation, insulin resistance, and reduced nitric oxide production precede the onset of peripheral insulin resistance. Arteriosclerosis, Thrombosis, and Vascular Biology. 2008;28(11):1982–1988. doi: 10.1161/ATVBAHA.108.169722.
    1. Pinheiro L. C., Tanus-Santos J. E., Castro M. M. The potential of stimulating nitric oxide formation in the treatment of hypertension. Expert Opinion on Therapeutic Targets. 2017;21(5):543–556. doi: 10.1080/14728222.2017.1310840.
    1. van Dijk J. W., Venema M., van Mechelen W., Stehouwer C. D., Hartgens F., van Loon L. J. C. Effect of moderate-intensity exercise versus activities of daily living on 24-hour blood glucose homeostasis in male patients with type 2 diabetes. Diabetes Care. 2013;36(11):3448–3453. doi: 10.2337/dc12-2620.
    1. Dempsey P. C., Sacre J. W., Larsen R. N., et al. Interrupting prolonged sitting with brief bouts of light walking or simple resistance activities reduces resting blood pressure and plasma noradrenaline in type 2 diabetes. Journal of Hypertension. 2016;34(12):2376–2382. doi: 10.1097/HJH.0000000000001101.
    1. Crespo N. C., Mullane S. L., Zeigler Z. S., Buman M. P., Gaesser G. A. Effects of standing and light-intensity walking and cycling on 24-h glucose. Medicine and Science in Sports and Exercise. 2016;48(12):2503–2511. doi: 10.1249/MSS.0000000000001062.
    1. Blankenship J. M., Chipkin S. R., Freedson P. S., Staudenmayer J., Lyden K., Braun B. Managing free-living hyperglycemia with exercise or interrupted sitting in type 2 diabetes. Journal of Applied Physiology. 2019;126(3):616–625. doi: 10.1152/japplphysiol.00389.2018.
    1. Duvivier B. M., Schaper N. C., Hesselink M. K., et al. Breaking sitting with light activities vs structured exercise: a randomised crossover study demonstrating benefits for glycaemic control and insulin sensitivity in type 2 diabetes. Diabetologia. 2017;60(3):490–498. doi: 10.1007/s00125-016-4161-7.
    1. van Dijk J. W., van Loon L. J. Exercise strategies to optimize glycemic control in type 2 diabetes: a continuing glucose monitoring perspective. Diabetes Spectrum: A Publication of the American Diabetes Association. 2015;28(1):24–31. doi: 10.2337/diaspect.28.1.24.
    1. Nusca A., Tuccinardi D., Albano M., et al. Glycemic variability in the development of cardiovascular complications in diabetes. Diabetes/Metabolism Research and Reviews. 2018;34(8, article e3047) doi: 10.1002/dmrr.3047.
    1. Dempsey P. C., Owen N., Yates T. E., Kingwell B. A., Dunstan D. W. Sitting less and moving more: improved glycaemic control for type 2 diabetes prevention and management. Current Diabetes Reports. 2016;16(11):1–15. doi: 10.1007/s11892-016-0797-4.
    1. Rodbard D. Continuous glucose monitoring: a review of recent studies demonstrating improved glycemic outcomes. Diabetes Technology & Therapeutics. 2017;19(S3):S25–S37. doi: 10.1089/dia.2017.0035.
    1. Battelino T., Bode B. W. Continuous glucose monitoring in 2017. Diabetes Technology & Therapeutics. 2018;20(S1):S-13–S-29. doi: 10.1089/dia.2018.2502.
    1. Battelino T., Danne T., Bergenstal R. M., et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care. 2019;42(8):1593–1603. doi: 10.2337/dci19-0028.
    1. Palatini P., Mos L., Mormino P., et al. Blood pressure changes during running in humans: the “beat” phenomenon. Journal of Applied Physiology. 1989;67(1):52–59. doi: 10.1152/jappl.1989.67.1.52.
    1. Sackner M. A., Lopez J. R., Banderas V., Adams J. A. Holistic approach to opioid use disorder: think nitric oxide! Journal of Opioid Management. 2019;15(6):521–555. doi: 10.5055/jom.2019.0543.
    1. Matthews C. E., Chen K. Y., Freedson P. S., et al. Amount of time spent in sedentary behaviors in the United States, 2003-2004. American Journal of Epidemiology. 2008;167(7):875–881. doi: 10.1093/aje/kwm390.
    1. Fritschi C., Park H., Richardson A., et al. Association between daily time spent in sedentary behavior and duration of hyperglycemia in type 2 diabetes. Biological Research for Nursing. 2016;18(2):160–166. doi: 10.1177/1099800415600065.
    1. Manders R. J., Van Dijk J. W., van Loon L. J. Low-intensity exercise reduces the prevalence of hyperglycemia in type 2 diabetes. Medicine and Science in Sports and Exercise. 2010;42(2):219–225. doi: 10.1249/MSS.0b013e3181b3b16d.
    1. Newsom S. A., Everett A. C., Hinko A., Horowitz J. F. A single session of low-intensity exercise is sufficient to enhance insulin sensitivity into the next day in obese adults. Diabetes Care. 2013;36(9):2516–2522. doi: 10.2337/dc12-2606.
    1. Karstoft K., Clark M. A., Jakobsen I., et al. The effects of 2 weeks of interval vs continuous walking training on glycaemic control and whole-body oxidative stress in individuals with type 2 diabetes: a controlled, randomised, crossover trial. Diabetologia. 2017;60(3):508–517. doi: 10.1007/s00125-016-4170-6.
    1. Ohara M., Nagaike H., Goto S., et al. Improvements of ambient hyperglycemia and glycemic variability are associated with reduction in oxidative stress for patients with type 2 diabetes. Diabetes Research and Clinical Practice. 2018;139:253–261. doi: 10.1016/j.diabres.2018.02.017.
    1. Ozawa T., Shinomiya Y., Ochi K., et al. Development of new passive exercise equipment inducing contraction of functional muscles around knee joint without pain. 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2008; Vancouver, BC, Canada. pp. 3447–3450.

Source: PubMed

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