Urban Johnson1, Andreas Ivarsson1, James Parker1,2, Mark B. Andersen1, Ingrid Svetoft2

1Halmstad University, Center of Research on Welfare, Health and Sport, Halmstad, Sweden
2Halmstad University, School of Business, Engineering and Science, Halmstad, Sweden

Connection in the Fresh Air: A Study on the Benefits of Participation in an Electronic Tracking Outdoor Gym Exercise Programme

Monten. J. Sports Sci. Med. 2019, 8(1), 61-67 | DOI: 10.26773/mjssm.190309

Abstract

This study aimed to explore whether a six-week intervention, based on participation in outdoor exercise, including activity-tracking devices and combined with individual consulting sessions, can both increase physical activity and yield positive changes in physiological and psychological health measures. A total of six participants, with a mean age of 41.2 (range 33-50 years), completed the ten-week study and the six-week intervention. The full study consisted of a four-week control/baseline and a six-week intervention period in which each participant acted as their own controls. Continuous measures of physical activity data were collected using a wrist-worn activity sensor during the ten-week study, along with pre- and post-measures of cardiovascular fitness, upper-body strength, BMI, general health, and motivation to exercise. The intervention consisted of a resistance-training programme for an outdoor gym and three motivational interviewing sessions. Effect sizes (percentage) for changes pre- to post-training were calculated. The results, because of the small sample size, are presented as individual cases, but the group, as a whole, showed average increases from baseline (pre-) to post-measures in strength (maximum row; 15.33%), time to exhaustion (3.58%), number of steps per day (4%), and autonomous motivation (12%) and average decreases in body weight (-1.08%), fat percentage (-7.58%), strength (chest; -2.5%), and stress symptoms (-2.17%). The six-week intervention programme showed promising results regarding physical activity changes. This study contributes to the limited evidence of the impact of resistance training programmes using outdoor gyms, electronic tracker, and motivational interviewing on physical activity outcomes.

Keywords

physical activity, physiological health, psychological well-being, computerized exercise intervention, motivational interviewing



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References

Bice, M.R., Ball, J.W., & McClaran, S. (2016). Technology and physical activity motivation. International Journal of Sport & Exercise Psycholology, 14, 295-304. https://doi.org/10.1080/1612197X.2015.1025811

Bort-Roig, J., Gilson, N.D., Puig-Ribera, A., Contreras, R.S., & Trost, S.G. (2014). Measuring and influencing physical activity with smartphone technology: A systematic review. Sports Medicine, 44, 671–686. https://doi.org/10.1007/s40279-014-0142-5

Bowler, D.E., Buyung-Ali, L.M., Knight, T.M., & Pullin, A.S. (2010). A systematic review of evidence for the added benefits to health of exposure to natural environments. BMC Public Health, 10, 456. https://doi.org/10.1186/1471-2458-10-456

Breckon, J. (2015). Motivational interviewing, exercise, and nutrition counseling. In: M.B., Andersen, S.J., Hanrahan (Eds.) Doing Exercise Psychology (pp. 75-100). Champaign, IL: Human Kinetics.

Chow, H. (2016). Outdoor fitness equipment in parks: a qualitative study from older adults’ perceptions. BMC Public Health,13:e1216. https://doi.org/10.1186/1471-2458-13-1216

Deci, E.L., & Ryan, R.M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 4, 227-268. https://doi.org/10.1207/S15327965PLI1104_01

Lara, J., Godfrey, A., Evans E, Heaven, B., Brown, J.E., Barron, E.,… Mathers, J.C. (2013). Towards measurement of the healthy ageing phenotype in lifestyle-based intervention studies. Maturitas, 76, 189-199. https://doi.org/10.1016/j.maturitas.2013.07.007

Goldberg, D.P., Gater, R., Sartorius, N., Sartorius, N., Ustun, T. B., Piccinelli, M., Gureje, O.,…Rutter, C. (1997). The validity of two versions of the GHQ in the WHO study of mental illness in general health care. Psychological Medicine, 27,191-197. https://doi.org/10.1017/S0033291796004242

Goode, A.P., Hall, K.S., Batch, B.C., Huffman, K. M., Hastings, S. N., Allen, K. D.,…Gierisch, J. M. (2017).The impact of interventions that integrate accelerometers on physical activity and weight loss: A systematic review. Annals of Behavioral Medicine, 51, 79–93. https://doi.org/10.1007/s12160-016-9829-1

Hardcastle, S.J., Taylor, A.H., Bailey, M.P., Harley, R.S., & Hagger, M.S. (2013). Effectiveness of a motivational interviewing intervention on weight loss, physical activity and cardiovascular disease risk factors: a randomized controlled trail with a 12-month post-intervention follow-up. International Journal of Behavioral Nutrition and Physical Activity, 10, e40. https://doi.org/10.1186/1479-5868-10-40

Hug, S.M., Hartig, T., Hansmann, R., Seeland, K., & Hornung, R. (2009). Restorative qualities of indoor and outdoor exercise settings as predictors of exercise frequency. Health & Place,15, 971-980. https://doi.org/10.1016/j.healthplace.2009.03.002

Kahn, E.B., Ramsey, L.T., Brownson R.C., Heath, G.W., Howze, E.H., Powell, K.E.,…Corso, P. (2002). The effectiveness of interventions to increase physical activity. American Journal of Preventive Medicine, 22, 73-107. doi.org/10.1016/S0749-3797(02)00434-8

Kelly, B., & Fry, J. (2011). Camden outdoor gyms evaluation: Phase 1 [pdf]. London: NHS Camden. Available from http://www.camdendata.info/

Kruger, J., Carlson, S.A., & Kohl, H.W. (2007). Fitness facilities for adults: Differences in perceived access and usage. American Journal of Preventive Medicine, 32, 500-505. https://doi.org/10.1016/j.amepre.2007.02.003

Lara, J., Godfrey A., Evans E., Heaven, B., Brown, L. J., Barron, E.,…Mathers, J. C. (2013). Towards measurement of the healthy ageing phenotype in lifestyle-based intervention studies. Maturitas, 7(6), 189-199. https://doi.org/10.1016/j.maturitas.2013.07.007

Levinger, I., Goodman, C., Hare, D., Jerums, G., Toi, D., & Selig, S. (2007). The reliability of the 1RM test for untrained middle-aged individuals. Journal of Science and Medicine in Sport, 12, 310-316. https://doi.org/10.1016/j.jsams.2007.10.007

Ling, C.H.Y., de Craen, A. J.M., Slagboom, P.E., Gunn, D.A., Stokkel, M.P.M.,Westendorp, R.G.J.,…Maier, A.B. (2011). Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population. Clinical Nutrition, 30, 610-615. https://doi.org/10.1016/j.clnu.2011.04.001

Markland, D., & Tobin, V. (2004). A modification to the Behavioral Regulation in Exercise Questionnaire to include an assessment of amotivation. Journal of Sport & Exercise Psychology, 26, 191-196. https://doi.org/10.1123/jsep.26.2.191

Ng, J.Y.Y., Ntoumanis, N., Thogersen-Ntoumani, C., Deci, E.L., Ryan, R.M., Duda, J.L., & Williams, G.C. (2012). Self-determination theory applied to health contexts: A meta-analysis. Perspectives on Psychological Science, 7, 325-340. https://doi.org/19.1177/175691612447309

Noon, V., & Dean, E. (2008). Submaximal exercise testing: Clinical application and interpretation. Physical Therapy, 80, 782-807. https://doi.org/10.1093/ptj/80.8.782

Nurmi, J., Hagger, M.S., Haukkala, A., Araújo-Soares, V., Hankonen, N. (2016). Relations between autonomous motivation and leisure-time physical activity participation: The mediating role of self-regulation techniques. Journal of Sport & Exercise Psychology, 38, 128-137. https://doi.org/10.1123/jsep.2015-0222

Oja, P., Kelly, P., Murtagh, E., Murphy, M., Foster, C., & Titze, S. (2018). Effects of Frequency, intensity, duration and volume of walking interventions on CVD risk factors: a systematic review and meta-regression analysis of randomized controlled trials among inactive healthy adults. British Journal of Sports Medicine, 52, 769-755. https://doi.org/10.1136/bjsports-2017-098558

Pratt, M., Sarmiento, O.L., Montes, F., Ogilvie, D., Marcus, B.H., Perez, L.G.,…Brownson, R.C. (2012). The implications of megatrends in information and communication technology and transportation for changes in global physical activity. Lancet Physical Activity Series Working Group. Lancet, 380, 282-293. https://doi.org/10.1016/S0140-6736(12)60736-3

Tester, J., & Baker, R. (2009). Making the playfields even: Evaluating the impact of an environmental intervention on park use and physical activity. Prevention Medicine, 48:316-320. https://doi.org/101016/j.ypmed.2009.01.010

Shane, A., Lowe, S.H., & Ólaighin, G. (2014). Monitoring human health behaviour in one’s living environment: A technological review. Medical Engineering & Physics, 36, 147-168. https://doi.org/10.1016/j.medengphy.2013.11.010

Sebire, S.J., Standage, M., & Vansteenkiste, M. (2008). Development and validation of the goal content for exercise questionnaire. Journal of Sport & Exercise Psychology, 30(4), 353–77. https://doi.org/10.1123/jsep.30.4.353

Teixeira, P.J., Carraca, E.V., Markland, D., Silva, M.N., & Ryan, R.M. (2012). Exercise, physical activity, and self-determination theory: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 9, 78. https://doi.org/10.1186/1479-5868-9-78

Wen, D., Zhang, X., Liu, X., & Lei, J. (2017). Evaluating the consistency of current mainstream wearable devices in health monitoring: A comparison under free-living conditions. Journal of Medicine and Internet Research, 19(3), e68. https://doi.org/10.2196/jmir.6874

Zhang, Y., Lisheng, X., Yao, Y., Sun, Y., Zhang, J., & Fu, Q. (2016). Effects of short-term intervention on cardiovascular functions and quality of life of chronic heart failure patients: A meta-analysis. Journal of Exercise Science & Fitness, 14, 67-75. https://doi.org/10.1016/j.jesf.2016.08.00