Behavior Change with Fitness Technology in Sedentary Adults: A Review of the Evidence for Increasing Physical Activity

Alycia N Sullivan, Margie E Lachman, Alycia N Sullivan, Margie E Lachman

Abstract

Physical activity is closely linked with health and well-being; however, many Americans do not engage in regular exercise. Older adults and those with low socioeconomic status are especially at risk for poor health, largely due to their sedentary lifestyles. Fitness technology, including trackers and smartphone applications (apps), has become increasingly popular for measuring and encouraging physical activity in recent years. However, many questions remain regarding the effectiveness of this technology for promoting behavior change. Behavior change techniques such as goal setting, feedback, rewards, and social factors are often included in fitness technology. However, it is not clear which components are most effective and which are actually being used by consumers. We discuss additional strategies not typically included in fitness technology devices or apps that are promising for engaging inactive, vulnerable populations. These include action planning, restructuring negative attitudes, enhancing environmental conditions, and identifying other barriers to regular physical activity. We consider which strategies are most conducive to motivating behavior change among sedentary adults. Overall, fitness technology has the potential to significantly impact public health, research, and policies. We suggest ways in which app developers and behavior change experts can collaborate to develop successful apps. Advances are still needed to help inactive individuals determine how, when, where, and with whom they can increase their physical activity.

Keywords: behavior change; exercise; fitness trackers; older adults; physical activity; technology.

References

    1. Reiner M, Niermann C, Jekauc D, Woll A, Dishman R, Washburn R, et al. Long-term health benefits of physical activity – a systematic review of longitudinal studies. BMC Public Health (2013) 13(1):813.10.1186/1471-2458-13-813
    1. Ratey JJ, Loehr JE. The positive impact of physical activity on cognition during adulthood: a review of underlying mechanisms, evidence and recommendations. Rev Neurosci (2011) 22(2):171–85.10.1515/RNS.2011.017
    1. Penedo FJ, Dahn JR. Exercise and well-being: a review of mental and physical health benefits associated with physical activity. Curr Opin Psychiatry (2005) 18(2):189–93.10.1097/00001504-200503000-00013
    1. CDC. Facts about Physical Activity. (2014). Available from:
    1. Schoenborn CA, Adams PF, Peregoy JA. Health behaviors of adults: United States, 2008–2010. Vital Health Stat (2013) 10(257):1–184.
    1. Trost SG, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: review and update. Med Sci Sport Exerc (2002) 34(12):1996–2001.10.1097/00005768-200212000-00020
    1. Booth ML, Owen N, Bauman A, Clavisi O, Leslie E. Social–cognitive and perceived environment influences associated with physical activity in older Australians. Prev Med (2000) 31(1):15–22.10.1006/pmed.2000.0661
    1. Schutzer KA, Graves BS. Barriers and motivations to exercise in older adults. Prev Med (2004) 39(5):1056–61.10.1016/j.ypmed.2004.04.003
    1. Chao D, Foy CG, Farmer D. Exercise adherence among older adults: challenges and strategies. Control Clin Trials (2000) 21(5):S212–7.10.1016/S0197-2456(00)00081-7
    1. Marmot M. Social determinants of health inequalities. Lancet (2005) 365(9464):1099–104.10.1016/S0140-6736(05)74234-3
    1. Ridley D. Year-Over-Year Wearables Spending Doubles, According to NPD. The NPD Group, Inc; (2016). Available from:
    1. Lamkin P. Fitness Tracker Market to Top $5bn by 2019. Wearable; (2015). Available from:
    1. Aitken M, Gauntlett C. Patient Apps for Improved Healthcare. Parsippany, NJ: (2013). Available from:
    1. Krebs P, Duncan DT. Health app use among US mobile phone owners: a national survey. JMIR Mhealth Uhealth (2015) 3(4):e101.10.2196/mhealth.4924
    1. Schrack JA, Cooper R, Koster A, Shiroma EJ, Murabito JM, Rejeski WJ, et al. Assessing daily physical activity in older adults: unraveling the complexity of monitors, measures, and methods. J Gerontol A Biol Sci Med Sci (2016) 71(8):1039–48.10.1093/gerona/glw026
    1. Schrack J, Zipunnikov V, Crainiceanu C. Electronic devices and applications to track physical activity. JAMA (2015) 313(20):2079–80.10.1001/jama.2015.3877
    1. Patel MS, Asch DA, Volpp KG. Wearable devices as facilitators, not drivers, of health behavior change. JAMA (2015) 313:459–60.10.1001/jama.2014.14781
    1. Shih PC, Han K, Poole ES, Rosson MB, Carroll JM. Use and adoption challenges of wearable activity trackers. In: Proceedings of the iConference, Newport Beach, CA (2015).
    1. Herning MM, Cook JH, Schneider JK. Cognitive behavioral therapy to promote exercise behavior in older adults: implications for physical therapists. J Geriatr Phys Ther (2005) 28(2):34–8.10.1519/00139143-200508000-00001
    1. Schneider JK, Mercer GT, Herning M, Smith CA, Prysak MD. Promoting exercise behavior in older adults: using a cognitive behavioral intervention. J Gerontol Nurs (2004) 30(4):45–53.10.3928/0098-9134-20040401-10
    1. Dalle Grave R, Calugi S, Centis E, El Ghoch M, Marchesini G. Cognitive-behavioral strategies to increase the adherence to exercise in the management of obesity. J Obes (2011) 2011:348293.10.1155/2011/348293
    1. Bandura A. Social foundations of thought and action: a social cognitive theory. PrenticeHall Series in Social Learning Theory. Englewood Cliffs, NJ: Prentice Hall; (1986). p. 617.
    1. Bandura A. Health promotion from the perspective of social cognitive theory. Psychol Health (1998) 13(4):623–49.10.1080/08870449808407422
    1. McAuley E, Blissmer B. Self-efficacy determinants and consequences of physical activity. Exerc Sport Sci Rev (2000) 28(2):85–8.
    1. Neupert SD, Lachman ME, Whitbourne SB. Exercise self-efficacy and control beliefs: effects on exercise behavior after an exercise intervention for older adults. J Aging Phys Act (2009) 17(1):1–16.10.1123/japa.17.1.1
    1. Michie S, Ashford S, Sniehotta FF, Dombrowski SU, Bishop A, French DP. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychol Health (2011) 26(11):1479–98.10.1080/08870446.2010.540664
    1. Hagger MS, Keatley DA, Chan DK-C. CALO-RE taxonomy of behavior change techniques. In: Eklund RC, Tenenbaum GT, editors. Encyclopedia of Sport and Exercise Psychology. Thousand Oaks, CA: SAGE; (2014). p. 100–5. Available from:
    1. Conroy DE, Yang CH, Maher JP. Behavior change techniques in top-ranked mobile apps for physical activity. Am J Prev Med (2014) 46:649–52.10.1016/j.amepre.2014.01.010
    1. Lee JM, Kim Y, Welk GJ. Validity of consumer-based physical activity monitors. Med Sci Sports Exerc (2014) 46:1840–8.10.1249/MSS.0000000000000287
    1. Lyons EJ, Lewis ZH, Mayrsohn BG, Rowland JL. Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis. J Med Internet Res (2014) 16(8):e192.10.2196/jmir.3469
    1. Mercer K, Li M, Giangregorio L, Burns C, Grindrod K. Behavior change techniques present in wearable activity trackers: a critical analysis. JMIR Mhealth Uhealth (2016) 4(2):e40.10.2196/mhealth.4461
    1. Greaves CJ, Sheppard KE, Abraham C, Hardeman W, Roden M, Evans PH, et al. Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public Health (2011) 11(1):119.10.1186/1471-2458-11-119
    1. Munson SA, Consolvo S. Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity, proceedings of pervasive health. In: 6th International Conference on Pervasive Computing Technologies for Healthcare San Diego, CA: Pervasive Health (2012). p. 25–32.
    1. Normand MP. Increasing physical activity through self-monitoring, goal setting, and feedback. Behav Interv (2008) 23:227–36.10.1002/bin.267
    1. Lewis L, Rowlands A, Gardiner P, Standage M, English C, Olds T. Small steps: preliminary effectiveness and feasibility of an incremental goal-setting intervention to reduce sitting time in older adults. Maturitas (2016) 85:64–70.10.1016/j.maturitas.2015.12.014
    1. Tudor-Locke C, Craig CL, Brown WJ, Clemes SA, De Cocker K, Giles-Corti B, et al. How many steps/day are enough? For adults. Int J Behav Nutr Phys Act (2011) 8(1):79.10.1186/1479-5868-8-79
    1. Tudor-Locke C, Craig CL, Aoyagi Y, Bell RC, Croteau KA, De Bourdeaudhuij I, et al. How many steps/day are enough? For older adults and special populations. Int J Behav Nutr Phys Act (2011) 8(1):80.10.1186/1479-5868-8-80
    1. Mansi S, Milosavljevic S, Tumilty S, Hendrick P, Higgs C, Baxter DG. Investigating the effect of a 3-month workplace-based pedometer-driven walking programme on health-related quality of life in meat processing workers: a feasibility study within a randomized controlled trial. BMC Public Health (2015) 15(1):410.10.1186/s12889-015-1736-z
    1. Alley S, Schoeppe S, Guertler D, Jennings C, Duncan MJ, Vandelanotte C. Interest and preferences for using advanced physical activity tracking devices: results of a national cross-sectional survey. BMJ Open (2016) 6(7):e011243.10.1136/bmjopen-2016-011243
    1. Fogg BJ. The new rules of persuasion. RSA Digit J (2009). Available from:
    1. Notthoff N, Carstensen LL. Positive messaging promotes walking in older adults. Psychol Aging (2014) 29(2):329–41.10.1037/a0036748
    1. Fitzsimons CF, Kirk A, Baker G, Michie F, Kane C, Mutrie N. Using an individualised consultation and activPAL™ feedback to reduce sedentary time in older Scottish adults: results of a feasibility and pilot study. Prev Med (2013) 57(5):718–20.10.1016/j.ypmed.2013.07.017
    1. Geraedts H, Zijlstra A, Bulstra SK, Stevens M, Zijlstra W. Effects of remote feedback in home-based physical activity interventions for older adults: a systematic review. Patient Educ Couns (2013) 91(1):14–24.10.1016/j.pec.2012.10.018
    1. Broekhuizen K, de Gelder J, Wijsman CA, Wijsman LW, Westendorp RG, Verhagen E, et al. An internet-based physical activity intervention to improve quality of life of inactive older adults: a randomized controlled trial. J Med Internet Res (2016) 18(4):e74.10.2196/jmir.4335
    1. Ledger D, McCaffrey D. How the Science of Human Behavior Change Offers the Secret to Long-Term Engagement. Cambridge, MA: (2014). Available from:
    1. Mercer K, Giangregorio L, Schneider E, Chilana P, Li M, Grindrod K. Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: a mixed-methods evaluation. JMIR Mhealth Uhealth (2016) 4(1):e7.10.2196/mhealth.4225
    1. Kurti AN, Dallery J. Internet-based contingency management increases walking in sedentary adults. J Appl Behav Anal (2013) 46(3):568–81.10.1002/jaba.58
    1. Patel MS, Asch DA, Rosin R, Small DS, Bellamy SL, Heuer J, et al. Framing financial incentives to increase physical activity among overweight and obese adults: a randomized, controlled trial. Ann Intern Med (2016) 164(6):385–94.10.7326/M15-1635
    1. Rovniak LS, Kong L, Hovell MF, Ding D, Sallis JF, Ray CA, et al. Engineering online and in-person social networks for physical activity: a randomized trial. Ann Behav Med (2016) 12(13):753.10.1007/s12160-016-9814-8
    1. Victor CR, Rogers A, Woodcock A, Beighton C, Cook DG, Kerry SM, et al. What factors support older people to increase their physical activity levels? An exploratory analysis of the experiences of PACE-Lift trial participants. Arch Gerontol Geriatr (2016) 67:1–6.10.1016/j.archger.2016.06.006
    1. Eyler AA, Brownson RC, Donatelle RJ, King AC, Brown D, Sallis JF. Physical activity social support and middle- and older-aged minority women: results from a US survey. Soc Sci Med (1999) 49(6):781–9.10.1016/S0277-9536(99)00137-9
    1. Lin JJ, Mamykina L, Lindtner S, Delajoux G, Strub HB. In: Dourish P, Friday A, editors. UbiComp 2006: Ubiquitous Computing: 8th International Conference, UbiComp 2006 Orange County, CA, USA, September 17-21, 2006 Proceedings Berlin, Heidelberg: Springer (2006). p. 261–78.
    1. Santoro E, Castelnuovo G, Zoppis I, Mauri G, Sicurello F. Social media and mobile applications in chronic disease prevention and management. Front Psychol (2015) 7(6):567.10.3389/fpsyg.2015.00567
    1. King AC, Stokols D, Talen E, Brassington GS, Killingsworth R. Theoretical approaches to the promotion of physical activity: forging a transdisciplinary paradigm. Am J Prev Med (2002) 23(2):15–25.10.1016/S0749-3797(02)00470-1
    1. Van Hoecke AS, Delecluse C, Bogaerts A, Boen F. Effects of need-supportive physical activity counseling on well-being: a 2-year follow-up among sedentary older adults. J Phys Act Health (2014) 11(8):1492–502.10.1123/jpah.2012-0497
    1. Martin SS, Feldman DI, Blumenthal RS, Jones SR, Post WS, McKibben RA, et al. mActive: a randomized clinical trial of an automated mHealth intervention for physical activity promotion. J Am Heart Assoc (2015) 4(11):e002239.10.1161/JAHA.115.002239
    1. Spring B, Schneider K, McFadden HG, Vaughn J, Kozak AT, Smith M, et al. Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Arch Intern Med (2012) 172:789–96.10.1001/archinternmed.2012.1044
    1. O’Brien T, Troutman-Jordan M, Hathaway D, Armstrong S, Moore M. Acceptability of wristband activity trackers among community dwelling older adults. Geriatr Nurs (2015) 36:S21–5.10.1016/j.gerinurse.2015.02.019
    1. Ginis KA, Nigg CR, Smith AL. Peer-delivered physical activity interventions: an overlooked opportunity for physical activity promotion. Transl Behav Med (2013) 3(4):434–43.10.1007/s13142-013-0215-2
    1. Wang JB, Cadmus-Bertram LA, Natarajan L, White MM, Madanat H, Nichols JF, et al. Wearable sensor/device (Fitbit One) and SMS text-messaging prompts to increase physical activity in overweight and obese adults: a randomized controlled trial. Telemed J E Health (2015) 21(10):782–92.10.1089/tmj.2014.0176
    1. Direito A, Dale LP, Shields E, Dobson R, Whittaker R, Maddison R. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? BMC Public Health (2014) 14:646.10.1186/1471-2458-14-646
    1. Gollwitzer PM, Oettingen G. Implementation Intentions. Encyclopedia of Behavioral Medicine. New York, NY: Springer New York; (2013). p. 1043–8.
    1. Robinson SA, Lachman ME. Perceived control and behavior change: a personalized approach. In: Infurna F, Reich J, editors. Perceived Control: Theory, Research, and Practice in the First 50 Years. New York, NY: Oxford University Press; (2016). p. 201–27.
    1. Sallis JF, Cerin E, Conway TL, Adams MA, Frank LD, Pratt M, et al. Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study. Lancet (2016) 387(10034):2207–17.10.1016/S0140-6736(15)01284-2
    1. Creatore MI, Glazier RH, Moineddin R, Fazli GS, Johns A, Gozdyra P, et al. Association of neighborhood walkability with change in overweight, obesity, and diabetes. JAMA (2016) 315(20):2211.10.1001/jama.2016.5898
    1. Falck RS, McDonald SM, Beets MW, Brazendale K, Liu-Ambrose T. Measurement of physical activity in older adult interventions: a systematic review. Br J Sports Med (2015) 5010.1249/01.mss.0000477099.67521.f6
    1. McCormack G, Giles-Corti B, Lange A, Smith T, Martin K, Pikora TJ. An update of recent evidence of the relationship between objective and self-report measures of the physical environment and physical activity behaviours. J Sci Med Sport (2004) 7(1):81–92.10.1016/S1440-2440(04)80282-2
    1. Sallis JF, Saelens BE. Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport (2015) 71(2):1–14.10.1080/02701367.2000.11082780
    1. Prince SA, Adamo KB, Hamel ME, Hardt J, Gorber SC, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act (2008) 5:1–24.10.1186/1479-5868-5-56
    1. Watson KB, Carlson SA, Carroll DD, Fulton JE. Comparison of accelerometer cut points to estimate physical activity in US adults. J Sports Sci (2014) 32(7):660–9.10.1080/02640414.2013.847278
    1. Lauritzen J, Muñoz A, Luis Sevillano J, Civit A. The usefulness of activity trackers in elderly with reduced mobility: a case study. Stud Health Technol Inform (2013) 192:759–62.10.3233/978-1-61499-289-9-759
    1. Van Remoortel H, Giavedoni S, Raste Y, Burtin C, Louvaris Z, Gimeno-Santos E, et al. Validity of activity monitors in health and chronic disease: a systematic review. Int J Behav Nutr Phys Act (2012) 9:84.10.1186/1479-5868-9-84
    1. Singh AK, Farmer C, Van Den Berg MLE, Killington M, Barr CJ. Accuracy of the FitBit at walking speeds and cadences relevant to clinical rehabilitation populations. Disabil Health J (2015) 9(2):320–3.10.1016/j.dhjo.2015.10.011
    1. Noah JA, Spierer DK, Gu J, Bronner S. Comparison of steps and energy expenditure assessment in adults of Fitbit Tracker and Ultra to the Actical and indirect calorimetry. J Med Eng Technol (2013) 37:456–62.10.3109/03091902.2013.831135
    1. Takacs J, Pollock CL, Guenther JR, Bahar M, Napier C, Hunt MA. Validation of the Fitbit one activity monitor device during treadmill walking. J Sci Med Sport (2013) 17:496–500.10.1016/j.jsams.2013.10.241
    1. Tully M, McBride C, Heron L, Hunter RF. The validation of Fibit Zip™ physical activity monitor as a measure of free-living physical activity. BMC Res Notes (2014) 7:952.10.1186/1756-0500-7-952
    1. Diaz KM, Krupka DJ, Chang MJ, Peacock J, Ma Y, Goldsmith J, et al. Fitbit®: an accurate and reliable device for wireless physical activity tracking. Int J Cardiol (2015) 185:138–40.10.1016/j.ijcard.2015.03.038
    1. Stackpool CM, Porcari JP, Mikat RP, Gillette C, Foster C. The accuracy of various activity trackers in estimating steps taken and energy expenditure. J Fitness Res (2015) 3.
    1. Ferguson T, Rowlands AV, Olds T, Maher C. The validity of consumer-level, activity monitors in healthy adults worn in free-living conditions: a cross-sectional study. Int J Behav Nutr Phys Act (2015) 12:1–9.10.1186/s12966-015-0201-9
    1. Storm F, Heller BW, Mazzà C. Step detection and activity recognition accuracy of seven physical activity monitors. PLoS One (2015) 10:e0118723.10.1371/journal.pone.0118723
    1. Smith AUS. Smartphone Use in 2015. (2015). Available from:
    1. Hekler EB, Buman MP, Grieco L, Rosenberger M, Winter SJ, Haskell W, et al. Validation of physical activity tracking via android smartphones compared to ActiGraph accelerometer: laboratory-based and free-living validation studies. JMIR Mhealth Uhealth (2015) 3:e36.10.2196/mhealth.3505
    1. Bort-Roig J, Gilson ND, Puig-Ribera A, Contreras RS, Trost SG. Measuring and influencing physical activity with smartphone technology: a systematic review. Sport Med (2014) 44:671–86.10.1007/s40279-014-0142-5
    1. Case MA, Burwick HA, Volpp KG, Patel MS. Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA (2015) 313:625–6.10.1001/jama.2015.3880
    1. Fong SSM, Ng SSM, Cheng YTY, Zhang J, Chung LMY, Chow GCC, et al. Comparison between smartphone pedometer applications and traditional pedometers for improving physical activity and body mass index in community-dwelling older adults. J Phys Ther Sci (2016) 28(5):1651–6.10.1589/jpts.28.1651
    1. Cowan LT, Van Wagenen SA, Brown BA, Hedin RJ, Seino-Stephan Y, Hall PC, et al. Apps of steel: are exercise apps providing consumers with realistic expectations? A content analysis of exercise apps for presence of behavior change theory. Health Educ Behav (2013) 40(2):133–9.10.1177/1090198112452126
    1. Pagoto S, Bennett GG. How behavioral science can advance digital health. Transl Behav Med (2013) 3(3):271–6.10.1007/s13142-013-0234-z
    1. Breton ER, Fuemmeler BF, Abroms LC. Weight loss-there is an app for that! But does it adhere to evidence-informed practices? Transl Behav Med (2011) 1:523–9.10.1007/s13142-011-0076-5
    1. Gordon ME. The History of App Pricing and Why Most Apps Are Free. (2013). Available from:
    1. Wu W, Dasgupta S, Ramirez EE, Peterson C, Norman GJ. Classification accuracies of physical activities using smartphone motion sensors. J Med Internet Res (2012) 14(5):e130.10.2196/jmir.2208
    1. Donaire-Gonzalez D, de Nazelle A, Seto E, Mendez M, Nieuwenhuijsen MJ, Jerrett M. Comparison of physical activity measures using mobile phone-based CalFit and Actigraph. J Med Internet Res (2013) 15(6):e111.10.2196/jmir.2470
    1. Lee MH, Kim J, Jee SH, Yoo SK. Integrated solution for physical activity monitoring based on mobile phone and PC. Health Inform Res (2011) 17(1):76–86.10.4258/hir.2011.17.1.76
    1. Khalil A, Glal S. StepUp: A Step Counter Mobile Application to Promote Healthy Lifestyle. IEEE; (2009). p. 1–5. Available from:
    1. Cadmus-Bertram LA, Marcus BH, Patterson RE, Parker BA, Morey BL. Randomized trial of a Fitbit-based physical activity intervention for women. Am J Prev Med (2015) 49(3):414–8.10.1016/j.amepre.2015.01.020
    1. Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc (2011) 111(1):92–102.10.1016/j.jada.2010.10.008
    1. Thompson WG, Kuhle CL, Koepp GA, McCrady-Spitzer SK, Levine JA. “Go4Life” exercise counseling, accelerometer feedback, and activity levels in older people. Arch Gerontol Geriatr (2014) 58(3):314–9.10.1016/j.archger.2014.01.004
    1. Jakicic JM, Davis KK, Rogers RJ, King WC, Marcus MD, Helsel D, et al. Effect of wearable technology combined with a lifestyle intervention on long-term weight loss. JAMA (2016) 316(11):1161.10.1001/jama.2016.12858
    1. Rowe-Roberts D, Cercos R, Mueller F. Preliminary results from a study of the impact of digital activity trackers on health risk status. In: Grain H, Martin-Sanchez F, Schaper L, editors. E-Health: People, Knowledge and Technology for a Healthy Future. Amsterdam: IOS Press; (2014). p. 143–8.
    1. McMahon SK, Lewis B, Oakes M, Guan W, Wyman JF, Rothman AJ. Older adults’ experiences using a commercially available monitor to self-track their physical activity. JMIR MHealth UHealth (2016) 4(2):e35.10.2196/mhealth.5120
    1. Karapanos E, Gouveia R, Hassenzahl M, Forlizzi J. Wellbeing in the making: peoples’ experiences with wearable activity trackers. Psychol Well Being (2016) 6:4.10.1186/s13612-016-0042-6
    1. Comstock J. PwC: 1 in 5 Americans owns a wearable, 1 in 10 wears them daily. MobiHealthNews (2014). Available from:
    1. Fleming G. Data Digest: Announcing our Annual Benchmark on the State of US Consumers and Technology in 2015. Cambridge, MA: (2015). Available from:
    1. Riley D. The Demographic Divide: Fitness Trackers and Smartwatches Attracting Very Different Segments of the Market, According to The NPD Group. Port Washington, NY: The NPD Group; (2015).
    1. Puig-Ribera A, Bort-Roig J, González-Suárez AM, Martínez-Lemos I, Giné-Garriga M, Fortuño J, et al. Patterns of impact resulting from a “Sit Less, Move More” web-based program in sedentary office employees. PLoS One (2015) 10(4):e0122474.10.1371/journal.pone.0122474
    1. Shieh C, Weaver MT, Hanna KM, Newsome K, Mogos M. Association of Self-Efficacy and Self-Regulation with Nutrition and Exercise Behaviors in a Community Sample of Adults. Taylor and Francis; (2015). Available from:
    1. Hardcastle SJ, Hancox J, Hattar A, Maxwell-Smith C, Thøgersen-Ntoumani C, Hagger MS. Motivating the unmotivated: how can health behavior be changed in those unwilling to change? Front Psychol (2015) 16(6):835.10.3389/fpsyg.2015.00835
    1. Miller WR, Rollnick S. Motivational Interviewing: Helping People Change. 3rd ed New York, NY: The Guilford Press; (2013).
    1. Cotter KA, Lachman ME. No strain, no gain: psychosocial predictors of physical activity across the adult lifespan. J Phys Act Health (2010) 7(5):584–94.10.1123/jpah.7.5.584
    1. Smith KP, Christakis NA. Social networks and health. Annu Rev Sociol (2008) 34(1):405–29.10.1146/annurev.soc.34.040507.134601
    1. Kiernan M, Moore SD, Schoffman DE, Lee K, King AC, Taylor CB, et al. Social support for healthy behaviors: Scale psychometrics and prediction of weight loss among women in a behavioral program. Obesity (2012) 20(4):756–64.10.1038/oby.2011.293
    1. Jette AM, Lachman M, Giorgetti MM, Assmann SF, Harris BA, Levenson C, et al. Exercise – it’s never too late: the strong-for-life program. Am J Public Health (1999) 89(1):66–72.10.2105/AJPH.89.1.66
    1. Clark DO. Identifying psychological, physiological, and environmental barriers and facilitators to exercise among older low income adults. J Clin Geropsychol (1999) 5(1):51–62.10.1023/A:1022942913555
    1. Lachman ME, Howland J, Tennstedt S, Jette A, Assmann S, Peterson EW. Fear of falling and activity restriction: the survey of activities and fear of falling in the elderly (SAFE). J Gerontol B Psychol Sci Soc Sci (1998) 53(1):43–50.10.1093/geronb/53B.1.P43
    1. Cohen-Mansfield J, Marx MS, Guralnik JM. Motivators and barriers to exercise in an older community-dwelling population. J Aging Phys Act (2003) 11:242–53.10.1123/japa.11.2.242
    1. Lees FD, Clark PG, Nigg CR, Newman P. Barriers to exercise behavior among older adults: a focus-group study. J Aging Phys Act (2005) 13(1):23–33.10.1123/japa.13.1.23
    1. Doi T, Ono R, Ono K, Yamaguchi R, Makiura D, Hirata S. The association between fear of falling and physical activity in older women. J Phys Ther Sci (2012) 24:859–62.10.1589/jpts.24.859
    1. Snyder A, Colvin B, Gammack JK, Mead GE, Morley W, Campbell P, et al. Pedometer use increases daily steps and functional status in older adults. J Am Med Dir Assoc (2011) 12(8):590–4.10.1016/j.jamda.2010.06.007
    1. Lachman ME, Neupert SD, Agrigoroaei S. The relevance of control beliefs for health and aging. In Schaie K. W., Willis S. L. (Eds.), Handbook of the Psychology of Aging, 7th ed. San Diego, CA: Academic Press; (2011). pp. 175–190.
    1. Powell LM, Slater S, Chaloupka FJ, Harper D. Availability of physical activity-related facilities and neighborhood demographic and socioeconomic characteristics: a national study. Am J Public Health (2006) 9696(9):1676–80.10.2105/AJPH.2005.065573
    1. Wilson K, Elliott S, Law M, Eyles J, Jerrett M, Keller-Olaman S. Linking perceptions of neighbourhood to health in Hamilton, Canada. J Epidemiol Community Health (2004) 58(3):192–8.10.1136/jech.2003.014308
    1. Warburton DER, Nicol CW, Bredin SSD. Health benefits of physical activity: the evidence. Can Med Assoc J (2006) 174(6):801–9.10.1503/cmaj.051351
    1. Kokkinos P. Physical Activity, Health Benefits, and Mortality Risk. ISRN Cardiol. (Vol. 2012). Hindawi Publishing Corporation; (2012). p. 1–14. Available from:
    1. Sasaki JE, Hickey A, Mavilia M, Tedesco J, John D, Kozey Keadle S, et al. Validation of the Fitbit wireless activity tracker for prediction of energy expenditure. J Phys Act Health (2014) 12:149–55.10.1123/jpah.2012-0495
    1. Rosenberger M, Buman M, Haskell W, McConnell M, Carstensen L. Twenty-four hours of sleep, sedentary behavior, and physical activity with nine wearable devices. Med Sci Sports Exerc (2016) 48(3):457–65.10.1249/MSS.0000000000000778
    1. French DP, Olander EK, Chisholm A, McSharry J. Which behaviour change techniques are most effective at increasing older adults’ self-efficacy and physical activity behaviour? A systematic review. Ann Behav Med (2014) 48(2):225–34.10.1007/s12160-014-9593-z
    1. Puig-Ribera A, McKenna J, Gilson N, Brown WJ. Change in work day step counts, wellbeing and job performance in Catalan university employees: a randomised controlled trial. Promot Educ (2008) 15(4):11–6.10.1177/1025382308097693
    1. Warburton DE, Nicol CW, Bredin SS. Prescribing exercise as preventive therapy. Can Med Assoc J (2006) 174(7):961–74.10.1503/cmaj.1040750
    1. Vaes AW, Cheung A, Atakhorrami M, Groenen MT, Amft O, Franssen FM, et al. Effect of “activity monitor-based” counseling on physical activity and health-related outcomes in patients with chronic diseases: a systematic review and meta-analysis. Ann Med (2013) 45(5–6):397–412.10.3109/07853890.2013.810891
    1. Gay V, Leijdekkers P. Bringing health and fitness data together for connected health care: mobile apps as enablers of interoperability. J Med Internet Res (2015) 17(11):e260.10.2196/jmir.5094
    1. Carlson SA, Fulton JE, Pratt M, Yang Z, Adams EK. Inadequate physical activity and health care expenditures in the United States. Prog Cardiovasc Dis (2015) 57(4):315–23.10.1016/j.pcad.2014.08.002
    1. Hirsch JA, James P, Robinson JRM, Eastman KM, Conley KD, Evenson KR, et al. Using MapMyFitness to place physical activity into neighborhood context. Front Public Health (2014) 2:1–9.10.3389/fpubh.2014.00019
    1. Olson EA, McAuley E. Impact of a brief intervention on self-regulation, self-efficacy and physical activity in older adults with type 2 diabetes. J Behav Med (2015) 38(6):886–98.10.1007/s10865-015-9660-3

Source: PubMed

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구독하다