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

Volumn 2, Issue 4, 2014, Pages

  Bender, Melinda S ^a   Choi, Ji Won ^a   Arai, Shoshana ^a   Paul, Steven M ^a   Gonzalez, Prisila ^a   Fukuoka, Yoshimi ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Cross sectional survey; Digital technology; Filipinos; Koreans; Latinos; mHealth; Mobile health apps

Indexed keywords

EID: 85106543854     PISSN: None     EISSN: 22915222     Source Type: Journal    
DOI: 10.2196/mhealth.3710     Document Type: Article

References (41)

1. Han HR, Kim J, Kim KB, Jeong S, Levine D, Li C, et al. Implementation and success of nurse telephone counseling in linguistically isolated Korean American patients with high blood pressure. Patient Educ Couns 2010 Jul;80(1):130-134. [doi: 10.1016/j.pec.2009.10.012] [Medline: 19945816]
2. Ogden CL, Lamb MM, Carroll MD, Flegal KM. Obesity and socioeconomic status in adults: United States, 2005-2008. NCHS Data Brief 2010 Dec(50):1-8 [FREE Full text] [Medline: 21211165]
3. Office of Minority Health. Washington, DC: US Department of Health and Human Services; 2012. Obesity and Hispanic AmericansURL: http://minorityhealth.hhs.gov/templates/content.aspx?ID=6459 [accessed 2014-07-10] [WebCite Cache ID 6QzjVIkdq]
4. Jih J, Mukherjea A, Vittinghoff E, Nguyen TT, Tsoh JY, Fukuoka Y, et al. Using appropriate body mass index cut points for overweight and obesity among Asian Americans. Prev Med 2014 Aug;65:1-6. [doi: 10.1016/j.ypmed.2014.04.010] [Medline: 24736092]
5. Ursua R, Aguilar D, Wyatt LA, Tandon SD, Escondo K, Rey M, et al. Awareness, treatment and control of hypertension among Filipino immigrants. J Gen Intern Med 2014 Mar;29(3):455-462. [doi: 10.1007/s11606-013-2629-4] [Medline: 24113806]
6. US Department of Health and Human Services. 2013. Healthy People 2020: health communication and health information technologyURL: http://www.healthypeople.gov/2020/topicsobjectives2020/overview.aspx?topicid=18 [accessed 2014-07-11] [WebCite Cache ID 6QzmK8YqQ]
7. Halvorson G, Goldsbrough P, Kent J, Close K, Becker D. Global Health Policy Summit: Report of the Digital Innovation in Healthcare Working Group. 2012. The digital dimension of healthcareURL: https://xnet.kp.org/kpinternational/docs/ The%20Digital%20Dimension%20of%20Healthcare.pdf [accessed 2014-07-09] [WebCite Cache ID 6Qzm9G0ql]
8. Lustria ML, Smith SA, Hinnant CC. Exploring digital divides: an examination of eHealth technology use in health information seeking, communication and personal health information management in the USA. Health Informatics J 2011 Sep;17(3):224-243. [doi: 10.1177/1460458211414843] [Medline: 21937464]
9. Gibbons MC, Fleisher L, Slamon RE, Bass S, Kandadai V, Beck JR. Exploring the potential of Web 2.0 to address health disparities. J Health Commun 2011;16 Suppl 1:77-89. [doi: 10.1080/10810730.2011.596916] [Medline: 21843097]
10. Aitken M, Gauntlett C. Patient apps for improved healthcare: from novelty to mainstream. Parsippany, NJ: IMS Institute for Healthcare Informatics; 2013. URL: https://developer.imshealth.com/Content/pdf/IIHI_Patient_Apps_Report.pdf [accessed 2014-07-11] [WebCite Cache ID 6QzmTMqDe]
11. Fox S, Duggan M. Pew Research Internet and American Life Project. Washington, DC: Pew Research Center; 2012 Nov 08. Mobile Health 2012: main findingsURL: http://www.pewinternet.org/2012/11/08/main-findings-6/ [accessed 2014-07-04] [WebCite Cache ID 6Qp83qNEZ]
12. Stephens J, Allen J. Mobile phone interventions to increase physical activity and reduce weight: a systematic review. J Cardiovasc Nurs 2013;28(4):320-329. [doi: 10.1097/JCN.0b013e318250a3e7] [Medline: 22635061]
13. Azar KM, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, et al. Mobile applications for weight management: theory-based content analysis. Am J Prev Med 2013 Nov;45(5):583-589. [doi: 10.1016/j.amepre.2013.07.005] [Medline: 24139771]
14. Tang J, Abraham C, Greaves C, Yates T. Self-directed interventions to promote weight loss: a systematic review of reviews. J Med Internet Res 2014;16(2):e58 [FREE Full text] [doi: 10.2196/jmir.2857] [Medline: 24554464]
15. Fukuoka Y, Vittinghoff E, Jong SS, Haskell W. Innovation to motivation-pilot study of a mobile phone intervention to increase physical activity among sedentary women. Prev Med 2010;51(3-4):287-289 [FREE Full text] [doi: 10.1016/j.ypmed.2010.06.006] [Medline: 20600263]
16. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes 1991 Dec;50(2):179-211. [doi: 10.1016/0749-5978(91)90020-T]
17. Multiplying mobile: how multicultural consumers are leading smartphone adoption. New York, NY: Nielsen; 2014. URL: http://www.nielsen.com/us/en/insights/news/2014/ multiplying-mobile-how-multicultural-consumers-are-leading-smartphone-adoption.html [accessed 2014-07-10] [WebCite Cache ID 6Qx2kiKt3]
18. Thomas JG, Bond DS. Review of innovations in digital health technology to promote weight control. Curr Diab Rep 2014 May;14(5):485. [doi: 10.1007/s11892-014-0485-1] [Medline: 24664797]
19. Leger B. First Impressions Matter! 26% of apps downloaded in 2010 were used just once. Boston, MA: Localytics; 2011. URL: http://www.localytics.com/blog/2011/first-impressions-26-percent-of-apps-downloaded-used-just-once/ [accessed 2014-07-04] [WebCite Cache ID 6Qp6qjcTq]
20. United States Census Bureau. An older more diverse nation by midcentury. Washington, DC: US Department of Commerce; 2008. URL: https://www.census.gov/newsroom/releases/archives/population/cb08-123.html [accessed 2014-07-11] [WebCite Cache ID 6QzmszAqO]
21. Pew Research Internet & American Life Project. Washington, DC: Pew Research Center; 2014. Technology fact sheetURL: http://www.pewinternet.org/fact-sheets/mobile-technology-fact-sheet/ [accessed 2014-07-04] [WebCite Cache ID 6Qp6wmZEB]
22. Fukuoka Y, Bender M, Choi Y, Gonzalez P, Arai S. Gender differences in lay knowledge of Type 2 diabetes symptoms among community dwelling Caucasian, Latino, Filipino, and Korean Adults - DiLH Survey. Diabetes Educ 2014 pii: 0145721714550693. [Epub ahead of print](forthcoming).
23. Eremenco SL, Cella D, Arnold BJ. A comprehensive method for the translation and cross-cultural validation of health status questionnaires. Eval Health Prof 2005 Jun;28(2):212-232. [doi: 10.1177/0163278705275342] [Medline: 15851774]
24. Predictors of obesity, weight gain, diet, and physical activity workshop 2004. Washington, DC: US Department of Health and Human Services, National Heart, Lung, and Blood Institute; 2004 Aug 04. URL: https://www.nhlbi.nih.gov/meetings/ workshops/predictors/summary.htm [accessed 2014-07-11] [WebCite Cache ID 6Qzkt46Wf]
25. Hunt K, Davison C, Emslie C, Ford G. Are perceptions of a family history of heart disease related to health-related attitudes and behaviour? Health Educ Res 2000 Apr;15(2):131-143 [FREE Full text] [Medline: 10751372]
26. McAlister A, Perry C, Parcel G. How individuals, environments, and health behaviors, interact: social cognitive theory. In: Glanz K, Rimer B, Viswanath K, editors. Health Behavior and Health Education: Theory, Research, and Practice. San Francisco: Jossey-Bass; 2008:169-185.
27. Janz NK, Becker MH. The Health Belief Model: a decade later. Health Educ Q 1984;11(1):1-47. [Medline: 6392204]
28. Ursua RA, Islam NS, Aguilar DE, Wyatt LC, Tandon SD, Abesamis-Mendoza N, et al. Predictors of hypertension among Filipino immigrants in the Northeast US. J Community Health 2013 Oct;38(5):847-855 [FREE Full text] [doi: 10.1007/s10900-013-9689-6] [Medline: 23553685]
29. Bender MS, Choi J, Won GY, Fukuoka Y. Randomized controlled trial lifestyle interventions for Asian Americans: a systematic review. Prev Med 2014 Oct;67C:171-181. [doi: 10.1016/j.ypmed.2014.07.034] [Medline: 25086326]
30. Lopez M, Gonzalez-Barrera A, Patten E. Closing the digital divide: Latinos and technology adoption. Washington, DC: Pew Research Center, Pew Hispanic Center; 2013 Mar 07. URL: http://www.pewhispanic.org/files/2013/03/ Latinos_Social_Media_and_Mobile_Tech_03-2013_final.pdf [accessed 2014-07-11] [WebCite Cache ID 6Qzl1Lqej]
31. The rise of Asian Americans. Washington, DC: Pew Research Center; 2013 Apr 13. URL: http://www.pewsocialtrends.org/ files/2013/04/Asian-Americans-new-full-report-04-2013.pdf [accessed 2014-10-06] [WebCite Cache ID 6T7LMZ7J0]
32. Lee YJ, Boden-Albala B, Larson E, Wilcox A, Bakken S. Online health information seeking behaviors of Hispanics in New York City: a community-based cross-sectional study. J Med Internet Res 2014;16(7):e176 [FREE Full text] [doi: 10.2196/jmir.3499] [Medline: 25092120]
33. Rainie L. Pew Research Internet Project. Washington, DC: Pew Research Center; 2011. Asian Americans and technologyURL: http://www.pewinternet.org/2011/01/06/asian-americans-and-technology/ [accessed 2014-07-04] [WebCite Cache ID 6Qp76cswI]
34. Kontos E, Blake KD, Chou WY, Prestin A. Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. J Med Internet Res 2014;16(7) Published online only [FREE Full text] [doi: 10.2196/jmir.3117] [Medline: 25048379]
35. Duggan M, Smith A. Pew Research Internet Project. Washington, DC: Pew Research Center Cell Internet useURL: http:/ /www.pewinternet.org/2013/09/16/cell-internet-use-2013/ [accessed 2014-07-04] [WebCite Cache ID 6Qp7AuQad]
36. McIntyre D. 24/7 Wall Street. 2011. The ten nations where Facebook rules the InternetURL: http://247wallst.com/ technology-3/2011/05/09/the-ten-nations-where-facebook-rules-the-internet/ [accessed 2014-07-04] [WebCite Cache ID 6Qp7GgVzd]
37. Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol 1983 Jun;51(3):390-395. [Medline: 6863699]
38. Park J, Chung H, Yoo WS. Is the Internet a primary source for consumer information search?: Group comparison for channel choices. Journal of Retailing and Consumer Services 2009 Mar;16(2):92-99. [doi: 10.1016/j.jretconser.2008.11.002]
39. Health fact sheet. Washington, DC: Pew Research Center; 2013 Dec 04. URL: http://www.pewinternet.org/fact-sheets/ health-fact-sheet/ [accessed 2014-07-11] [WebCite Cache ID 6Qzmmi1Ub]
40. Connelly J, Kirk A, Masthoff J, MacRury S. The use of technology to promote physical activity in Type 2 diabetes management: a systematic review. Diabet Med 2013 Dec;30(12):1420-1432. [doi: 10.1111/dme.12289] [Medline: 23870009]
41. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med 2013;10(1):e1001362 [FREE Full text] [doi: 10.1371/journal.pmed.1001362] [Medline: 23349621]