Tracking Myself: Assessing the Contribution of Mobile Technologies for Self-Trackers of Weight, Diet, or Exercise

References

• Aadahl, M., & Jørgensen, T. (2003). Validation of a new self-report instrument for measuring physical activity. Medicine & Science in Sports & Exercise, 35(7), 1196–1202. doi:10.1249/01.MSS.0000074446.02192.14
   PubMed Web of Science ®Google Scholar
• Anderson, J., & Raine, L. (2014). The Internet of things will thrive by 2025. Retrieved from http://www.pewinternet.org/2014/05/14/internet-of-things/
   Google Scholar
• Baker, R. C., & Kirschenbaum, D. S. (1998). Weight control during the holidays: Highly consistent self-monitoring as a potentially useful coping mechanism. Health Psychology, 17(4), 367–370. doi:10.1037/0278-6133.17.4.367
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1988). Self-regulation of motivation and action through goal systems. In V. Hamilton, G. H. Bower, & N. H. Frijda (Eds.), Cognitive perspectives on emotion and motivation (pp. 37–61). Dordrecht, The Netherlands: Kluwer Academic.
   Google Scholar
• Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2), 248–287. doi:10.1016/0749-5978(91)90022-L
   Web of Science ®Google Scholar
• Boase, J., & Ling, R. (2013). Measuring mobile phone use: Self-report versus log data. Journal of Computer-Mediated Communication, 18(4), 508–519. doi:10.1111/jcc4.12021
   Web of Science ®Google Scholar
• Bowling, A. (2005). Just one question: If one question works, why ask several? Journal of Epidemiology & Community Health, 59(5), 342–345. doi:10.1136/jech.2004.021204
   PubMed Web of Science ®Google Scholar
• Briggs, M. (2014). If numbers could speak: Bringing “quantified self” to an alternative demographic. USU Student Showcase, 2014(4). Retrieved from http://digitalcommons.usu.edu/student_showcase/33
   Google Scholar
• Buhi, E. R., Trudnak, T. E., Martinasek, M. P., Oberne, A. B., Fuhrmann, H. J., & McDermott, R. J. (2013). Mobile phone-based behavioural interventions for health: A systematic review. Health Education Journal, 72(5), 564–583. doi:10.1177/0017896912452071
   Web of Science ®Google Scholar
• Burke, L. E., Conroy, M. B., Sereika, S. M., Elci, O. U., Styn, M. A., Acharya, S. D., … Glanz, K. (2011). The effect of electronic self-monitoring on weight loss and dietary intake: A randomized behavioral weight loss trial. Obesity, 19(2), 338–344. doi:10.1038/oby.2010.208
   PubMed Web of Science ®Google Scholar
• Burke, L. E., Wang, J., & Sevick, M. A. (2011). Self-monitoring in weight loss: A systematic review of the literature. Journal of the American Dietetic Association, 111(1), 92–102. doi:10.1016/j.jada.2010.10.008
   PubMedGoogle Scholar
• Butryn, M. L., Phelan, S., Hill, J. O., & Wing, R. R. (2007). Consistent self-monitoring of weight: A key component of successful weight loss maintenance. Obesity, 15(12), 3091–3096. doi:10.1038/oby.2007.368
   PubMed Web of Science ®Google Scholar
• Carels, R. A., Darby, L. A., Rydin, S., Douglass, O. M., Cacciapaglia, H. M., & O’Brien, W. H. (2005). The relationship between self-monitoring, outcome expectancies, difficulties with eating and exercise, and physical activity and weight loss treatment outcomes. Annals of Behavioral Medicine, 30(3), 182–190. doi:10.1207/s15324796abm3003_2
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention. (2013). Overweight and obesity. Retrieved from http://www.cdc.gov/obesity/data/adult.html
   Google Scholar
• Consolvo, S., McDonald, D. W., Toscos, T., Chen, M. Y., Froehlich, J., Harrison, B., & Libby, R. (2008). Activity sensing in the wild: A field trial of ubifit garden. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1797–1806). New York, NY: Association for Computing Machinery.
   Google Scholar
• Feiler, B. (2014, May). The United States of metrics. Retrieved from the New York Times website: www.nytimes.com/2014/05/18/fashion/the-united-states-of-metrics.html?_r=0
   Google Scholar
• Fox, S., & Duggan, M. (2013). Tracking for health. Retrieved from http://www.pewinternet.org/2013/01/28/tracking-for-health/
   Google Scholar
• Gasser, R., Brodbeck, D., Degen, M., Luthiger, J., Wyss, R., & Reichlin, S. (2006). Persuasiveness of a mobile lifestyle coaching application using social facilitation. In W. Ijsselsteijn, Y. de Kort, C. Midden, B. Eggen, & E. van den Hoven (Eds.), Persuasive technology (pp. 27–38). Berlin, Germany: Springer-Verlag.
   Google Scholar
• Gerber, B. S., Stolley, M. R., Thompson, A. L., Sharp, L. K., & Fitzgibbon, M. L. (2009). Mobile phone text messaging to promote healthy behaviors and weight loss maintenance: A feasibility study. Health Informatics Journal, 15, 17–25. doi:10.1177/1460458208099865
   PubMed Web of Science ®Google Scholar
• Glanz, K., Lewis, F. M., & Rimer, B. K. (1990). Health behavior and health education: Theory, research, and practice. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Gokee-Larose, J., Gorin, A. A., & Wing, R. R. (2009). Behavioral self-regulation for weight loss in young adults: A randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 6(1), 10. doi:10.1186/1479-5868-6-10
   PubMed Web of Science ®Google Scholar
• Grave, R. D., Calugi, S., & El Ghoch, M. (2013). Lifestyle modification in the management of obesity: Achievements and challenges. Eating and Weight Disorders, 18(4), 339–349. doi:10.1007/s40519-013-0049-4
   PubMed Web of Science ®Google Scholar
• Gustafson, D. H., Boyle, M. G., Shaw, B. R., Isham, A., McTavish, F., Richards, S., & Johnson, K. (2011). An e-health solution for people with alcohol problems. Alcohol Research & Health, 33(4), 327–337.
   Web of Science ®Google Scholar
• Haapala, I., Barengo, N. C., Biggs, S., Surakka, L., & Manninen, P. (2009). Weight loss by mobile phone: A 1-year effectiveness study. Public Health Nutrition, 12, 2382–2391. doi:10.1017/S1368980009005230
   PubMed Web of Science ®Google Scholar
• Hull, S. J., Abril, E. P., Shah, D. V., Choi, M., Chih, M. Y., Kim, S. C., … Gustafson, D. H. (2016). Self-determination theory and computer-mediated support: Modeling effects on breast cancer patient’s quality-of-life.. Health Communication, 31, 1205–1214.
   PubMedGoogle Scholar
• Hurling, R., Catt, M., De Boni, M., Fairley, B. W., Hurst, T., Murray, P., … Sodhi, J. S. (2007). Using Internet and mobile phone technology to deliver an automated physical activity program: Randomized controlled trial. Journal of Medical Internet Research, 9, e7. doi:10.2196/jmir.9.2.e7
   PubMed Web of Science ®Google Scholar
• Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of twenty-seven community studies. Journal of Health and Social Behavior, 38, 21–37. doi:10.2307/2955359
   PubMed Web of Science ®Google Scholar
• Imayama, I., Alfano, C. M., Kong, A., Foster-Schubert, K. E., Bain, C. E., Xiao, L., … McTiernan, A. (2011). Dietary weight loss and exercise interventions effects on quality of life in overweight/obese postmenopausal women: A randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 118. doi:10.1186/1479-5868-8-118
   PubMed Web of Science ®Google Scholar
• Kailas, A., Chong, C.-C., & Watanabe, F. (2010). From mobile phones to personal wellness dashboards. IEEE Pulse, 1(1), 57–63. doi:10.1109/MPUL.2010.937244
   PubMed Web of Science ®Google Scholar
• Khaylis, A., Yiaslas, T., Bergstrom, J., & Gore-Felton, C. (2010). A review of efficacious technology-based weight-loss interventions: Five key components. Telemedicine and E-Health, 16(9), 931–938. doi:10.1089/tmj.2010.0065
   PubMed Web of Science ®Google Scholar
• King, A. C., Taylor, C. B., Haskell, W. L., & Debusk, R. F. (1988). Strategies for increasing early adherence to and long-term maintenance of home-based exercise training in healthy middle-aged men and women. American Journal of Cardiology, 61(8), 628–632. doi:10.1016/0002-9149(88)90778-3
   PubMed Web of Science ®Google Scholar
• Klasnja, P., & Pratt, W. (2012). Healthcare in the pocket: Mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics, 45(1), 184–198. doi:10.1016/j.jbi.2011.08.017
   PubMed Web of Science ®Google Scholar
• Kumanyika, S. K., Bowen, D., Van Horn, L., Perri, M. G., Czajkowski, S. M., & Schron, E. (2000). Maintenance of dietary behavior change. Health Psychology, 19(1, Suppl.), 42–56. doi:10.1037/0278-6133.19.Suppl1.42
   PubMed Web of Science ®Google Scholar
• Lane, S. J., Heddle, N. M., Arnold, E., & Walker, I. (2006). A review of randomized controlled trials comparing the effectiveness of hand held computers with paper methods for data collection. BMC Medical Informatics and Decision Making, 6, 23–33. doi:10.1186/1472-6947-6-23
   PubMedGoogle Scholar
• Lee, V. R. (2014). What’s happening in the “quantified self” movement? (Paper No. 491). Retrieved from http://digitalcommons.usu.edu/itls_facpub/491
   Google Scholar
• Lichtman, S. W., Pisarska, K., Berman, E. R., Pestone, M., Dowling, H., Offenbacher, E., … Heymsfield, S. B. (1992). Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. The New England Journal of Medicine, 327(27), 1893–1898. doi:10.1056/NEJM199212313272701
   PubMed Web of Science ®Google Scholar
• Linde, J. A., Jeffery, R. W., French, S. A., Pronk, N. P., & Boyle, R. G. (2005). Self-weighing in weight gain prevention and weight loss trials. Annals of Behavioral Medicine, 30(3), 210–216. doi:10.1207/s15324796abm3003_5
   PubMed Web of Science ®Google Scholar
• Mattila, E., Parkka, J., Hermersdorf, M., Kaasinen, J., Vainio, J., Samposalo, K., … Korhonen, I. (2008). Mobile diary for wellness management—Results on usage and usability in two user studies. IEEE Transactions on Information Technology in Biomedicine, 12(4), 501–512. doi:10.1109/TITB.2007.908237
   PubMedGoogle Scholar
• McClendon, M. J. (1994). Multiple regression and causal analysis. Itasca, IL: Peacock.
   Google Scholar
• McFedries, P. (2013). Tracking the quantified self [technically speaking]. Spectrum, IEEE, 50(8), 24.
   Web of Science ®Google Scholar
• O’Neil, P. M., & Brown, J. D. (2005). Weighing the evidence: Benefits of regular weight monitoring for weight control. Journal of Nutrition Education and Behavior, 37(6), 319–322. doi:10.1016/S1499-4046(06)60163-2
   PubMed Web of Science ®Google Scholar
• Office of Disease Prevention and Health Promotion. (2016). Dietary guidelines. Retrieved from www.dietaryguidelines.gov
   Google Scholar
• Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2013). Prevalence of obesity among adults: United States 2011–2012. Journal of the American Medical Association, 311(8), 806–814. doi:10.1001/jama.2014.732
   Web of Science ®Google Scholar
• Patrick, K., Griswold, W. G., Raab, F., & Intille, S. S. (2008). Health and the mobile phone. American Journal of Preventive Medicine, 35, 177–181. doi:10.1016/j.amepre.2008.05.001
   PubMed Web of Science ®Google Scholar
• Pew Research Center. (2016). Our survey methodology in detail. Retrieved from http://www.people-press.org/methodology/our-survey-methodology-in-detail
   Google Scholar
• Pingree, S., Hawkins, R., Baker, T., DuBenske, L., Roberts, L. J., & Gustafson, D. H. (2010). The value of theory for enhancing and understanding e-health interventions. American Journal of Preventive Medicine, 38(1), 103–109. doi:10.1016/j.amepre.2009.09.035
   PubMed Web of Science ®Google Scholar
• Prince, S. A., Adamo, K. B., Hamel, M. E., Hardt, J., Connor Gorber, S., & Tremblay, M. (2008). A comparison of direct versus self-report measures for assessing physical activity in adults: A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 5, 56. doi:10.1186/1479-5868-5-56
   PubMed Web of Science ®Google Scholar
• Rosnow, R. L., & Rosenthal, R. (1996). Computing contrasts, effect sizes, and counternulls on other people’s published data: General procedures for research consumers. Psychological Methods, 1(4), 331–340. doi:10.1037/1082-989X.1.4.331
   Web of Science ®Google Scholar
• Seals, J. G. (2007). Integrating the transtheoretical model into the management of overweight and obese adults. Journal of the American Academy of Nurse Practitioners, 19(2), 63–71. doi:10.1111/j.1745-7599.2006.00196.x
   PubMed Web of Science ®Google Scholar
• Seaman, M. A., Levin, J. R., & Serlin, R. C. (1991). New developments in pairwise multiple comparisons: Some powerful and practicable procedures. Psychological Bulletin, 110(3), 577–586. doi:10.1037/0033-2909.110.3.577
   Web of Science ®Google Scholar
• Sherry, J. M., & Ratzan, S. C. (2012). Measurement and evaluation outcomes for mHealth communication: Don’t we have an app for that? Journal of Health Communication, 17(Suppl. 1), 1–3. doi:10.1080/10810730.2012.670563
   PubMed Web of Science ®Google Scholar
• Smarr, L. (2012). Quantifying your body: A how-to guide from a systems biology perspective. Biotechnology Journal, 7(8), 980–991. doi:10.1002/biot.201100495
   PubMed Web of Science ®Google Scholar
• Spring, B., Duncan, J. M., & Janke, E. (2013). Integrating technology into standard weight loss treatment: A randomized controlled trial. JAMA Internal Medicine, 173(2), 105–111. doi:10.1001/jamainternmed.2013.1221
   PubMed Web of Science ®Google Scholar
• Swan, M. (2009). Emerging patient-driven health care models: An examination of health social networks, consumer personalized medicine and quantified self-tracking. International Journal of Environmental Research and Public Health, 6(2), 492–525. doi:10.3390/ijerph6020492
   PubMed Web of Science ®Google Scholar
• Tsai, C. C., Lee, G., Raab, F., Norman, G. J., Sohn, T., Griswold, W. G., & Patrick, K. (2007). Usability and feasibility of PmEB: A mobile phone application for monitoring real time caloric balance. Mobile Networks and Applications, 12, 173–184. doi:10.1007/s11036-007-0014-4
   Web of Science ®Google Scholar
• Turner-McGrievy, G. M., Beets, M. W., Moore, J. B., Kaczynski, A. T., Barr-Anderson, D. J., & Tate, D. F. (2013). Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program. Journal of the American Medical Informatics Association, 20(3), 513–518. doi:10.1136/amiajnl-2012-001510
   PubMed Web of Science ®Google Scholar
• Ventä, L., Isomursu, M., Ahtinen, A., & Ramiah, S. (2008). “My phone is a part of my soul”—How people bond with their mobile phones. In Proceedings of the Second International Conference on Mobile Ubiquitous Computing, Systems, Services, and Technologies, 2008 (UBICOMM '08), Sep. 29–Oct. 4, Valencia, Spain (pp. 311–317). IEEE. doi:10.1109/UBICOMM.2008.48.
   Google Scholar
• Williams, G. C., Minicucci, D. S., Kouides, R. W., Levesque, C. S., Chirkov, V. I., Ryan, R. M., & Deci, E. L. (2002). Self-determination, smoking, diet and health. Health Education Research, 17, 512–521. doi:10.1093/her/17.5.512
   PubMed Web of Science ®Google Scholar
• Wing, R. R., & Hill, J. O. (2001). Successful weight loss maintenance. Annual Review of Nutrition, 21(1), 323–341. doi:10.1146/annurev.nutr.21.1.323
   PubMed Web of Science ®Google Scholar
• Wing, R. R., & Phelan, S. (2005). Long-term weight loss maintenance. American Journal of Clinical Nutrition, 82(1 Suppl.), 222S–225S.
   PubMed Web of Science ®Google Scholar
• Wing, R. R., Tate, D. F., Gorin, A. A., Raynor, H. A., & Fava, J. L. (2006). A self-regulation program for maintenance of weight loss. The New England Journal of Medicine, 355(15), 1563–1571. doi:10.1056/NEJMoa061883
   PubMed Web of Science ®Google Scholar
• World Health Organization. (2016). BMI classification. Retrieved from www.who.int/bmi/index.jsp
   Google Scholar
• Zickuhr, K. (2013). Location-based services. Retrieved from http://www.pewinternet.org/~/media//Files/Reports/2013/PIP_Location-based services 2013.pdf
   Google Scholar
• Zweifel, M. J. (2014). The power and Type I error rate of Holm’s procedure when the assumptions of normality and variance homogeneity are violated. Retrieved from http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1225&context=cehsdiss
   Google Scholar