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Research Article

Enhancing Psychosocial Constructs Associated with Technology-Based Physical Activity: A Randomized Trial Among African American Women

Pages 74-85 | Received 07 Jul 2017, Accepted 03 Nov 2017, Published online: 08 Feb 2018

References

  • Han JL, Dinger MK, Hull HR, Randall NB, Heesch KC, Fields DA. Changes in women’s physical activity during the transition to college. Am J Health Educ. 2008;39(4):194–199. doi: 10.1080/19325037.2008.10599038.
  • Joseph RP, Pekmezi DW, Lewis T, Dutton G, Turner LW, Durant NH. Physical activity and social cognitive theory outcomes of an Internet-enhancement physical activity intervention for African American female college students. J Health Dispar Res Pract. 2013;6(2):1–18.
  • Ainsworth B, Wilcox S, Thompson W, Richter D, Henderson KA. Personal, social, and physical environmental correlates of physical activity in African-American women in South Carolina. Am J Prev Med. 2003;25(3 Suppl 1):23–29. doi: 10.1016/S0749-3797(03)00161-2.
  • Centers for Disease Control and Prevention. U.S. Physical Activity Statistics. https://www.cdc.gov/physicalactivity/data/index.html. Published 2010. Updated March 27, 2015. Accessed May 5, 2015.
  • Whitt-Glover MC, Brand DI, Turner MF, Ward SA, Jackson EM. Increasing physical activity among African-American women and girls. Curr Sports Med Rep. 2009;8(6):318–324. doi: 10.1249/JSR.0b013e3181c27ade.
  • Centers for Disease Control and Prevention. National Center for Health Statistics: Health Data Interactive. https://www.cdc.gov/nchs/index.htm. Published 2014. Updated September 21, 2017. Accessed May 5, 2015.
  • Landry JB, Solmon MA. African American women’s self-determination across the stages of change for exercise. J Sport Exerc Psychol. 2004;26:457–469. doi: 10.1123/jsep.26.3.457.
  • Schwartz S, Syed M, Lee R, et al. Methodological issues in ethnic and racial identity research with ethnic minority populations: theoretical precision, measurement issues, and research designs. Child Dev. 2014;85:58–76.
  • Bandura A. Social Foundations of Thought and Action. Englewood Cliffs, NJ: Prentice-Hall; 1986.
  • Nannyonjo J, Nsibambi CN, Goon DT, Amusa LO. Physical activity patterns of female students of Kyambogo University, Uganda. Afr J Phys Act Health Sci. 2013;19:865–873.
  • Day-Black C. Minorities in nursing education: using smartphones. ABNF J. 2015;26(4):85–89.
  • Littlefield MB, Edwards L, Akers T. A campus–community partnership to disseminate Internet technology resources among African Americans. J Soc Work Educ. 2014;50:648–659.
  • Sharma M, Romas JA. Theoretical Foundations of Health Education and Health Promotion. Sudbury, MA: Jones & Bartlett Learning; 2012.
  • Cadmus-Bertra LA, Marcus BH, Patterson RE, Parker BA, Morey BL. Randomized trial of Fitbit-based physical activity intervention for women. Am J Prev Med. 2015;49:414–418. doi: 10.1016/j.amepre.2015.01.020.
  • Hickey AM, Freedson PS. Utility of consumer physical activity trackers as an intervention tool in cardiovascular disease prevention and treatment. Prog Cardiovasc Dis. 2016;58:613–619. doi: 10.1016/j.pcad.2016.02.006.
  • Godino JG, Watkinson C, Corder K, et al. Impact of personalised feedback about physical activity on change in objectivity measured physical activity (the FAB study): a randomised controlled trial. PLoS One. 2013;8(9):e75398. doi: 10.1371/journal.pone.0075398.
  • Toscos T, Faber A, Connelly K, Upoma AM. Encouraging physical activity in teens: can technology help reduce barriers to physical activity in adolescent girls? Paper presented at: 2nd International Conference on Pervasive Computing Technologies for Healthcare: Pervasive Health; January 29–February 1, 2008, Tampere, Finland. doi: 10.1109/PCTHEALTH.2008.4571073.
  • Wang JB, Cataldo JK, Ayala GX, et al. Mobile and wearable devise features that matter in promoting physical activity. J Mobile Technol Med. 2016;5:2–11. doi: 10.7309/jmtm.5.2.2.
  • Burk V, Beilin LJ, Cutt HE, et al. Moderators and mediators of behavior change in a lifestyle program for treated hypertensive: a randomized controlled trial. Health Educ Res. 2008;23:583–591. doi: 10.1093/her/cym047.
  • Bandura A. Self-efficacy: The Exercise of Control. New York, NY: Freeman; 1997.
  • Sullum J, Clark BM, King TK. Predictors of exercise relapses in a college population. J Am College Health. 2000;53:28–34.
  • Song H, Peng W, Lee K. Promoting exercise self-efficacy with an exergame. J Health Commun. 2011;16(2):148–162. doi: 10.1080/10810730.2010.535107.
  • Olander EK, Fletcher H, Williams S, et al. What are the most effective techniques in changing obese individuals’ physical activity self-efficacy and behavior: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2013;10:1–15. doi: 10.1186/1479-5868-10-29.
  • Silveira P, Van De Langenberg R, Van Het Reve E, Daniel F, Casati F, De Bruin E. Tablet-based strength–balance training to motivate and improve adherence to exercise in independently living older people: a phase II preclinical exploratory trial. J Med Internet Res. 2013;15(8):e159. doi: 10.2196/jmir.2579.
  • Consolvo S, Everitt K, Smith I, Landay JA. Design requirements for technologies that encourage physical activity. Paper presented at: Conference on Human Factors in Computing Systems:; April 22–April 27, 2006, Chi-Conference Montreal, QC, Canada. doi: 10.1145/1124772.1124840.
  • Mancuso PJ, Thompson M, Tietze M, Kelk S, Roux G. Can patient use of daily activity monitors change nurse practitioner practice? J Nurse Pract. 2014;10:787–797. doi: 10.1016/j.nurpra.2014.09.002.
  • Deci E, Ryan R. Intrinsic Motivation and Self-determination in Human Behavior. New York, NY: Plenum; 1985.
  • Scarapicchia TM, Sabiston CM, Andersen RE, Bengoecha EG. The motivational effects of social contagion on exercise participation in young female adults. J Sport Exerc Psychol. 2013;35:563–575. doi: 10.1123/jsep.35.6.563.
  • Ijsselsteijn WR. Virtual fitness: stimulating exercise behavior through media technology. Presence (Camb). 2006;15:688–698. doi: 10.1162/pres.15.6.688.
  • U.S. Department of Health and Human Services, Office of Minority Health. Obesity and African Americans. https://minorityhealth.hhs.gov/omh/browse.aspx?lvl=1&lvlid=4. Updated February 9, 2017. Accessed May 5, 2016.
  • Whitt-Glover MC, Goldmon MV, Karanja N, Heil DP, Gizlice Z. Learning and developing individual exercise skills (LADIES) for a better life: a physical activity intervention for black women. Contemp Clin Trials. 2012;33:1159–1171. doi: 10.1016/j.cct.2012.08.003.
  • Pauline JS. Physical activity behaviors, motivation, and self-efficacy among college students. Coll Stud J. 2013;47:64–74.
  • Melton B, Buman M, Vogel R, Harris B, Bingham L. Wearable devices to improve physical activity and sleep. J Black Stud. 2016;47:610–625. doi: 10.1177/0021934716653349.
  • Bandura A. Guide for constructing self-efficacy scales. In: Pajares F, Urdan T. eds. Self-efficacy Beliefs of Adolescents. Greenwich, CT: LAP-Information Age Publishing; 2006:307–337.
  • Sallis JF, Grossman RM, Pinksi RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Prev Med. 1987;16:825–836. doi: 10.1016/0091-7435(87)90022-3.
  • Markland D, Tobin V. A modification to the behavioral regulation in exercise questionnaire to include an assessment of amotivation. J Sport Exerc Psychol. 2004;26(2):191–196. doi: 10.1123/jsep.26.2.191.
  • McAuley E, Mailey EL, Szabo AN, Gothe N. Physical activity and the personal agency: self-efficacy as a determinant, consequence, and mediator. In: Ekkekakis P, ed. Handbook of Physical Activity and Mental Health. New York, NY: Routledge; 2013:224–235.
  • Krauses JM, Benavidez EA. Potential influences of exergaming on self-efficacy for physical activity and sport. J Phys Educ Recreat Dance. 2014;85(4):15–20.
  • Kerner C, Goodyear V. The motivational impact of wearable healthy lifestyle technologies: a self-determination perspective on Fitbits with adolescents. Am J Health Educ. 2017;48(5):287–297. doi: 10.1080/19325037.2017.1343161.
  • 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. doi: 10.2196/jmir.3469.
  • Azar KM, Lesser LI, Laing BY, et al. Mobile applications for overweight management: theory-based content analysis. Am J Prev Med. 2013;45:583–589. doi: 10.1016/j.amepre.2013.07.005.
  • Monroe CM, Thompson DL, Bassett DR, Fizhugh EC, Raynor HA. Usability of mobile phones in physical activity–related research: a systematic review. Am J Health Educ. 2015;46(4):196–206. doi: 10.1080/19325037.2015.1044141.

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