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Original Article

Exploring the Effect of Health App Use on Fruit and Vegetable Consumption

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References

  • Adriaanse, M. A., Vinkers, C. D. W., De Ridder, D. T. D., Hox, J. J., & De Wit, J. B. F. (2011). Do implementation intentions help to eat a healthy diet? A systematic review and meta-analysis of the empirical evidence. Appetite, 56(1), 183–193. doi:10.1016/j.appet.2010.10.012
  • Allen, J. K., Stephens, J., Dennison Himmelfarb, C. R., Stewart, K. J., & Hauck, S. (2013). Randomized controlled pilot study testing use of smartphone technology for obesity treatment. Journal of Obesity, 1–7. doi:10.1155/2013/151597
  • Allman-Farinelli, M., Partridge, S. R., McGeechan, K., Balestracci, K., Hebden, L., Wong, A., … Bauman, A. (2016). A mobile health lifestyle program for prevention of weight gain in young adults (TXT2BFiT): Nine-month outcomes of a randomized controlled trial. JMIR MHealth and UHealth, 4(2), e78. doi:10.2196/mhealth.5768
  • Becker, S., Miron-Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., & Albrecht, U.-V. (2014). mHealth 2.0: Experiences, possibilities, and perspectives. JMIR MHealth and UHealth, 2(2), e24. doi:10.2196/mhealth.3328
  • Bender, M. S., Choi, J., Arai, S., Paul, S. M., Gonzalez, P., & Fukuoka, Y. (2014). Digital technology ownership, usage, and factors predicting downloading health apps among Caucasian, Filipino, Korean, and Latino Americans: The digital link to health survey. JMIR MHealth and UHealth, 2(4), e43. doi:10.2196/mhealth.3710
  • Berkman, N. D., Davis, T. C., & McCormack, L. (2010). Health literacy: What is it? Journal of Health Communication, 15(sup2), 9–19. doi:10.1080/10810730.2010.499985
  • Bjelland, M., Brantsæter, A. L., Haugen, M., Meltzer, H. M., Nystad, W., & Andersen, L. F. (2013). Changes and tracking of fruit, vegetables and sugar-sweetened beverages intake from 18 months to 7 years in the Norwegian mother and child cohort study. BMC Public Health, 13(1), 793. doi:10.1186/1471-2458-13-793
  • Bol, N., Helberger, N., & Weert, J. C. M. (2018). Differences in mobile health app use: A source of new digital inequalities? The Information Society, 34(3), 183–193. doi:10.1080/01972243.2018.1438550
  • Carroll, J. K., Moorhead, A., Bond, R., LeBlanc, W. G., Petrella, R. J., & Fiscella, K. (2017). Who uses mobile phone health apps and does use matter? A secondary data analytics approach. Journal of Medical Internet Research, 19(4), e125. doi:10.2196/jmir.5604
  • Chae, J. (2018). A comprehensive profile of those who have health-related apps. Health Education & Behavior, 45(4), 591–598. doi:10.1177/1090198117752784
  • Chib, A., van Velthoven, M. H., & Car, J. (2015). mHealth adoption in low-resource environments: A review of the use of mobile healthcare in developing countries. Journal of Health Communication, 20(1), 4–34. doi:10.1080/10810730.2013.864735
  • Cho, J., Park, D., & Lee, H. E. (2014). Cognitive factors of using health apps: Systematic analysis of relationships among health consciousness, health information orientation, eHealth literacy, and health app use efficacy. Journal of Medical Internet Research, 16(5), e125. doi:10.2196/jmir.3283
  • Covolo, L., Ceretti, E., Moneda, M., Castaldi, S., & Gelatti, U. (2017). Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of randomized control trials. Patient Education and Counseling, 100(12), 2231–2243. doi:10.1016/j.pec.2017.07.032
  • Cowan, L. T., Van Wagenen, S. A., Brown, B. A., Hedin, R. J., Seino-Stephan, Y., Hall, P. C., & West, J. H. (2013). Apps of steel: Are exercise apps providing consumers with realistic expectations? A content analysis of exercise apps for presence of behavior change theory. Health Education & Behavior, 40(2), 133–139. doi:10.1177/1090198112452126
  • de Nooijer, J., de Vet, E., Brug, J., & de Vries, N. K. (2006). Do implementation intentions help to turn good intentions into higher fruit intakes? Journal of Nutrition Education and Behavior, 38(1), 25–29. doi:10.1016/j.jneb.2005.11.021
  • DiFilippo, K. N., Huang, W.-H., Andrade, J. E., & Chapman-Novakofski, K. M. (2015). The use of mobile apps to improve nutrition outcomes: A systematic literature review. Journal of Telemedicine and Telecare, 21(5), 243–253. doi:10.1177/1357633X15572203
  • Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt Brace Jovanovich College Publishers.
  • Elbert, S. P., Dijkstra, A., & Oenema, A. (2016). A mobile phone app intervention targeting fruit and vegetable consumption: The efficacy of textual and auditory tailored health information tested in a randomized controlled trial. Journal of Medical Internet Research, 18(6), e147. doi:10.2196/jmir.5056
  • Fitzgerald, M., & McClelland, T. (2017). What makes a mobile app successful in supporting health behaviour change? Health Education Journal, 76(3), 373–381. doi:10.1177/0017896916681179
  • Freudenberg, N. (2017). Assessing the public health impact of the mHealth app business. American Journal of Public Health, 107(11), 1694–1696. doi:10.2105/AJPH.2017.304083
  • Gasser, R., Brodbeck, D., Degen, M., Luthiger, J., Wyss, R., & Reichlin, S. (2006). Persuasiveness of a mobile lifestyle coaching application using social facilitation. Persuasive Technology, 27–38. doi: 10.1007/11755494_5
  • Gaziano, C. (1997). Forecast 2000: Widening knowledge gaps. Journalism & Mass Communication Quarterly, 74(2), 237–264. doi:10.1177/107769909707400202
  • Grundy, Q., Held, F., & Bero, L. (2017). A social network analysis of the financial links backing health and fitness apps. American Journal of Public Health, 107(11), 1783–1788. doi:10.2105/AJPH.2017.303995
  • Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (Second ed.). New York, NY: Guilford Press.
  • Hornik, R. C., Parvanta, S., Mello, S., Freres, D., Kelly, B., & Schwartz, J. S. (2013). Effects of scanning (routine health information exposure) on cancer screening and prevention behaviors in the general population. Journal of Health Communication, 18(12), 1422–1435. doi:10.1080/10810730.2013.798381
  • Hout, M. (2004). Getting the most out of the GSS income measures (GSS Methodological Report No. 101). University of California, Berkeley. http://gss.norc.org/Documents/reports/methodological-reports/MR101%20Getting%20the%20Most%20Out%20of%20the%20GSS%20Income%20Measures.pdf
  • Kelly, B. J., Leader, A. E., Mittermaier, D. J., Hornik, R. C., & Cappella, J. N. (2009). The HPV vaccine and the media: How has the topic been covered and what are the effects on knowledge about the virus and cervical cancer? Patient Education and Counseling, 77(2), 308–313. doi:10.1016/j.pec.2009.03.018
  • Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: A national survey. JMIR MHealth and UHealth, 3(4), e101. doi:10.2196/mhealth.4924
  • Lee, C., Niederdeppe, J., & Freres, D. (2012). Socioeconomic disparities in fatalistic beliefs about cancer prevention and the internet: Cancer fatalism and internet use. Journal of Communication, 62(6), 972–990. doi:10.1111/j.1460-2466.2012.01683.x
  • Lee, C., Zhao, X., & Pena-y-Lillo, M. (2016). Theorizing the pathways from seeking and scanning to mammography screening. Health Communication, 31(1), 117–128. doi:10.1080/10410236.2014.942769
  • Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: Guilford press.
  • Mackert, M., Mabry-Flynn, A., Champlin, S., Donovan, E. E., & Pounders, K. (2016). Health literacy and health information technology adoption: The potential for a new digital divide. Journal of Medical Internet Research, 18(10), e264. doi:10.2196/jmir.6349
  • McDermott, M. S., Oliver, M., Simnadis, T., Beck, E. J., Coltman, T. R., Iverson, D. C., … Sharma, R. (2015). The theory of planned behaviour and dietary patterns: A systematic review and meta-analysis. Preventive Medicine, 81, 150–156. doi:10.1016/j.ypmed.2015.08.020
  • McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychology Review, 5(2), 97–144. doi:10.1080/17437199.2010.521684
  • Moldovan-Johnson, M., Martinez, L., Lewis, N., Freres, D., & Hornik, R. C. (2014). The role of patient–clinician information engagement and information seeking from nonmedical channels in fruit and vegetable intake among cancer patients. Journal of Health Communication, 19(12), 1359–1376. doi:10.1080/10810730.2014.906521
  • Mummah, S., Robinson, T. N., Mathur, M., Farzinkhou, S., Sutton, S., & Gardner, C. D. (2017). Effect of a mobile app intervention on vegetable consumption in overweight adults: A randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity, 14(1), 125. doi:10.1186/s12966-017-0563-2
  • National Cancer Institute. (2019, August). Health Information National Trends Survey 5 (HINTS 5), Cycle 3. Health Information National Trends Survey. https://hints.cancer.gov/
  • Noar, S. M. (2006). A 10-year retrospective of research in health mass media campaigns: Where do we go from here? Journal of Health Communication, 11(1), 21–42. doi:10.1080/10810730500461059
  • Nollen, N. L., Mayo, M. S., Carlson, S. E., Rapoff, M. A., Goggin, K. J., & Ellerbeck, E. F. (2014). Mobile technology for obesity prevention. American Journal of Preventive Medicine, 46(4), 404–408. doi:10.1016/j.amepre.2013.12.011
  • Norris, P. (2001). Digital divide: Civic engagement, information poverty, and the Internet worldwide. Cambridge, UK: Cambridge University Press.
  • Organization, W. H. (2011). mHealth: New horizons for health through mobile technologies. http://www.who.int/goe/publications/goe_mhealth_web.pdf
  • Pasta, D. J. (2009 May). Learning when to be discrete: Continuous vs. Categorical predictors. SAS global forum 2009, Washington, D.C. https://support.sas.com/resources/papers/proceedings09/248-2009.pdf
  • Peek, M. E. (2017). Can mHealth interventions reduce health disparities among vulnerable populations? Diversity and Equality in Health and Care, 14(2), 44–45. doi:10.21767/2049-5471.100091
  • Régnier, F., & Chauvel, L. (2018). Digital inequalities in the use of self-tracking diet and fitness apps: Interview study on the influence of social, economic, and cultural factors. JMIR MHealth and UHealth, 6(4), 1–13. doi:10.2196/mhealth.9189
  • Rivera, J., McPherson, A., Hamilton, J., Birken, C., Coons, M., Iyer, S., … Stinson, J. (2016). Mobile apps for weight management: A scoping review. JMIR MHealth and UHealth, 4(3), e87. doi:10.2196/mhealth.5115
  • Schooler, C., Chaffee, S. H., Flora, J. A., & Roser, C. (1998). Health campaign channels tradeoffs among reach, specificity, and impact. Human Communication Research, 24(3), 410–432. doi:10.1111/j.1468-2958.1998.tb00423.x
  • Seaman, C. S., & Weber, R. (2015). Undisclosed flexibility in computing and reporting structural equation models in communication science. Communication Methods and Measures, 9(4), 208–232. doi:10.1080/19312458.2015.1096329
  • Shaikh, A. R., Yaroch, A. L., Nebeling, L., Yeh, M.-C., & Resnicow, K. (2008). Psychosocial predictors of fruit and vegetable consumption in adults. American Journal of Preventive Medicine, 34(6), 535–543.e11. doi:10.1016/j.amepre.2007.12.028
  • Silva, B. M. C., Rodrigues, J. J. P. C., de la Torre Díez, I., López-Coronado, M., & Saleem, K. (2015). (2015). Mobile-health: A review of current state in. Journal of Biomedical Informatics, 56, 265–272. doi:10.1016/j.jbi.2015.06.003
  • Viswanath, K., & Kreuter, M. W. (2007). Health disparities, communication inequalities, and eHealth. American Journal of Preventive Medicine, 32(5), S131–S133. doi:10.1016/j.amepre.2007.02.012
  • Vital Wave Consulting. (2009). mHealth for development: The opportunity of mobile technology for healthcare in the developing world. UN Foundation-Vodafone Foundation Partnership. http://vitalwave.com/article-presentation/mhealth-in-the-developing-world-a-landscape-analysis-2/
  • Wang, Q., Egelandsdal, B., Amdam, G. V., Almli, V. L., & Oostindjer, M. (2016). Diet and physical activity apps: Perceived effectiveness by app users. JMIR MHealth and UHealth, 4(2), e33. doi:10.2196/mhealth.5114
  • West, J. H., Hall, P. C., Hanson, C. L., Barnes, M. D., Giraud-Carrier, C., & Barrett, J. (2012). There’s an app for that: Content analysis of paid health and fitness apps. Journal of Medical Internet Research, 14(3), e72. doi:10.2196/jmir.1977
  • Zhang, J., & Jemmott, J. B., III. (2019). Mobile app-based small-group physical activity intervention for young African American women: A pilot randomized controlled trial. Prevention Science, 20(6), 863–872. doi:10.1007/s11121-019-01006-4

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