The Role of Self-Efficacy and Technology Upon the Participation of Men in Healthy Lifestyle Behavior
DOI:
https://doi.org/10.14738/jbemi.92.12188Abstract
Few health interventions are targeted exclusively to men. Limited knowledge exists regarding the specific components needed to design Internet health applications to appeal to men. This study examined the relationship between the use of Internet health applications and the role of self-efficacy in men and the influence upon participation in health and wellness behaviors, such as diet and physical activity. A quasi-experimental design was used to analyze data collected from the National Cancer Institute’s (NCI) Health Information National Trends Survey (HINTS). A group of men (N=990) who used Internet health applications were compared to a control group of men who did not use Internet health applications. Results from the regression analysis indicated that the use of Internet health applications for self-management of health behavior had a significant effect upon participation in health and wellness behavior t (49) = -2.212, < .05. Self-efficacy was found to have a greater significant effect upon participation in health and wellness behavior than Internet health applications t (49) = -2557, p < .05. Self-efficacy mediated the relationship between Internet health applications and participation in health and wellness behavior t (48) = -2.744, p < .05. The results of this study offer support for the efficacy of operationalized applications as an evidence-informed user-driven resource for men. Consequently, designing Internet health applications which include the theoretical foundation, self-efficacy could significantly increase the participation of men in health and wellness behaviors.
References
References
Anderko, L, Roffenbender, J. S, Goetzel, R. Z., Howard, J., Millard, F., Wildenhaus, K., . . . Novelli, W. (2012). Promoting prevention through the Affordable Care Act: Workplace wellness. Preventing Chronic Disease, 9, 120092. doi:http://dx.doi.org/10.5888/pcd9.120092.
Arias, E., & Jiaquan, X. (2017). United States life tables: 2017. National Vital Statistics Reports. 68(7); DHHS publication; no. 2019-1120. Retrieved from cdc.gov/nchs/data/nvsr/nvrs68/nvsr68_07-508.pdf
Anderson-Bill, E. S., Winett, R. A., & Wojcik, J. R. (2011). Social cognitive determinants of nutrition and physical activity among web-health users enrolling in an online intervention: The influence of social support, self-efficacy, outcomes expectations, and self-regulation. Journal of Medical Internet Research, 13(1), 147-162. doi:10.2196/jmir.1551
Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: W.H. Freeman and Company.
Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143-164. doi:10.1177/1090198104263660
Bandura, A. (2005). The primacy of self-regulation in health promotion. Applied Psychology: An International Review, 54(2), 245-254. doi:10.1111/j.1464-0597.2005.00208.x
Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J., and Crotty, K. (2011). Low health literacy and health outcomes: An updated systematic review. Annals of Internal Medicine, 155(2), 97-107. http://dx.doi.org/10.7326/0003-4819-155-2-201107190-00005
Broderick, J., Devine, T., Langhans, E., Lemerise, A. J., Lier, S., Harris, L. (2014). Designing health literate mobile apps. Retrieved from http://www.iom.edu/Global/Perspectives/2014/HeathLiterateApps.aspx
Centers for Disease Control and Prevention. (2013a). Chronic disease prevention and health promotion. Retrieved from http://www.cdc.gov/chronicdisease/
Centers for Disease Control and Prevention. (2013b). Deaths: Leading causes for 2010. Retrieved from http://www.cdc.gov/nchs/data/nvsr62_06.pdf
Centers for Medicare & Medicaid Services. (2014). National health expenditures continued to grow in 2013. Retrieved from http://www.cms.gov/Newsroom
Chaney, B., Barry, A. E., Chavarria, E., Tennant, B., Walsh-Childers, K., Sriram, P. S., & Zagora, J. (2013). Web 2.0 chronic disease self-management for older adults: A systematic review. Journal of Medical Internet Research, 15(2), 1-27. doi:10.2196/jmir.2439.
Chaudhry, S. I., Herrin, J. Phillips, C., Butler, J., Mukerjhee, S., Murillo, J., . . . Krumholz, H. M. (2011). Racial disparities in health literacy ad access to care among patients with heart failure. Journal of Cardiac Failure, 17(2), 122-127. doi.org/10.1016/j.cardfail.2010.09.016
Chen, S., & Lin, C. (2010). Predictors of adopting a health promoting lifestyle among worksite adults with prediabetes. Journal of Clinical Nursing, 19, 2713-2719. doi:10.1111/j.1365-2702.2010.03320.x
Crutzen, R., Cyr, D., & de Vries, N. K. (2011). Bringing loyalty to E-health: Theory validation using three Internet delivered interventions. Journal of Medical Internet Research, 13(3), 1-17. doi:10.2196/jmir.1837.
Danaei, G., Rimm, E. B., Oza, S., Kulkarni, S. D., Murray, C. J., Ezzati, M. (2010). The promise of prevention: The effects of four preventable risk factors on national life expectancy and life expectancy disparities by race and county in the United States. PLoS Med, 7(3), 1-13. doi:10.1371/journal.pmed.1000248
Davies, C. A., Spence, J. C., Vandelanotte, C., Caperchione, C. M., & Mummery, W. K. (2012). Meta-analysis of Internet delivered interventions to increase physical activity. International Journal of Behavioral Nutrition and Physical Activity, 9(52), 1-13. doi:10.1186/1479-5868-9-52
Duncan, M. J., Vandelanotte, C., Rosenkranz, R. R., Caperchione, C. M, Ding, H., Ellison, M., . . . Mummery, W. K. (2012). Effectiveness of a website and mobile phone based physical activity and nutrition intervention for middle-aged males: Trial protocol and baseline findings of the ManUp Study. BMC Public Health, 12, 1-14. doi:10.1186/1471-2458-12-656
Fanning, J., Mullen, S. P., & McAuley, E. (2012). Increasing physical activity with mobile devices: A meta-analysis. Journal of Medical Internet Research, 14(6), 1-16. doi:10.2196/jmir.2171
Fox S. (2011). The social life of health information. Retrieved from http://www.pewinternet.org/2011/11/02/half-of-adult-cell-phone-owners-have-apps-on-their-phones/
George, E. S., Kolt, G. S., Duncan, M. J., Caperchione, C. M., Mummery, W. K., Vandelanotte, C., . . . Noakes, M. (2012). A review of the effectiveness of physical activity interventions for adult males. Sports Medicine, 42(4), 281-300. doi:10.2165/11597220Ger
Glasgow, R. E., Kurz, D., King, D., Dickman, J. M., Faber, A. J., Halterman, E., . . . Ritzwoller, D. (2012). Twelve-month outcomes of an Internet-based diabetes self-management support program. Patient Education and Counseling, 87, 81-92. doi:10.1016/j.pec.2011.07.024
Glazebrook, K. E., & Brawley, L. R. (2011). Thinking about maintaining exercise therapy: Does positive or negative make a difference. Journal of Health Psychology, 16(6), 905-916. doi: 10:1177/1359105310396391
Johnson, J. (2022). Global internet usage rate 2019, by gender and market maturity. Retrieved from https://www.statista.com/statistics/333871/gender-distribution-of-internet-users-worldwide/
Healthy People 2020 (2013). Health communication and health information technology. Retrieved from http://healthypeople.gov/2020/topicsobjectives2020/objectiveslist.aspx?topicId=18
Hyman, M. A. (2009). Finding the money for healthcare reform. Alternative Therapies in Health and Medicine, 15(5), 20-23. Retrieved from http://www.alternative- therapies.com/
Kazer, M. W., Bailey, D. E., Sanda, M., Colberg, J., & Kelly, W. K. (2011). An Internet intervention for management of uncertainty during active surveillance for prostate cancer. Oncology Nursing Forum, 38(5), 561-568. doi:10.1188/11.ONF.561-568
Kelders, S. M., Kok, R. N., Ossebaard, H. C., & Van Gemert-Pijnen, J. E. (2012). Persuasive system design does matter: A systematic review of adherence to web-based interventions. Journal of Medical Internet Research, 14(6), 1-36. doi:10.2196/jmir.2104.
Kennedy, C. M., Powell, J., Payne, T. H., Ainsworth, J., Boyd, A., & Buchan, I. (2012). Active assistance technology for health related behavioral change: An interdisciplinary review. Journal of Medical Internet Research, 14(3), 1-26. doi:10.2196/jmir.1893.
Lefkowich, M., Oliffe, J. L., Clarke, L. H., Hannan-Leith, M. (2017). Male body practices: pitches, purchases, and performativities. American Journal of Men’s Health, 11(2), 454-463. doi: 10.1177/1557988316669042
Lorig, K., Ritter, P. L., Plant, K., Laurent, D. D., Kelly, P., & Rowe, S. (2012). The South Australia health chronic disease self-management Internet trial. Health Education & Behavior, 40(1), 67-77. doi:10.1177/1090198112436969.
McCully, S. N., Don, B. P., & Updegraff, J. A. (2013). Using the Internet to help with diet, weight, and physical activity: results from the health information national trends survey (HINTS). Journal of Medical Internet Research, 15(8), e148. doi:10.2196/jmir.2612
Miron-Shatz, T., & Ratzan, S. C. (2011). The potential of an online and mobile health scorecard for preventing chronic disease. Journal of Health Communication, 16, 175-190. doi:10.1080/10810730.2011.602464.
National Cancer Institute. (2014a). Analytics recommendations for HINTS4 – Cycle 1 data. Retrieved from http://hints.cancer.gov/dataset.aspx
National Cancer Institute. (2014b). Health Information National Trends Survey (HINTS). Retrieved from http://appliedresearch.cancer.gov/hints/
Ormond, B.A., Spillman, B.C, Waidmann, T.A., Caswell, K.J., Tereshchenko, B. (2011). Potential national and state medical care savings from primary disease prevention. American Journal of Public Health, 101(1), 157-164. doi: http://dx.doi.org/10.2105/AJPH.2009.182287
Purcell, K. (2011). Half of adult cell phone owners have apps on their phones. Retrieved from http://www.pewinternet.org/2011/11/02/half-of-adult-cell-phone-owners-have-apps-on-their-phones/
Riley, W. T., Rivera, D. E., Atienza, A. A., Nilsen, W., Allison, S. M., & Mermelstein, R. (2011). Health behavior models in the age of mobile interventions: Are our theories up to the task? Journal of Translational Medicine, 1, 53-71. doi:10.1007/S13142-011-0021-7.
Robertson, S., Baker, P. (2017). Men and health promotion in the United Kingdom: 20 years further forward? Health Education Journal. 76(1). 102-113. doi: 10.1177/0017896916645558
Robroek, S. J., van Lenthe, F. J., van Empelen, P. & Burdorf, A. (2009). Determinants of participation in worksite health promotion programmes: A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 6, 1-12. doi: http://dx.doi.org/10.1186/1479-5868-6-26
Schwartz, S. M., Ireland, C., Stretcher, V., Nakao, D., Wang, C., Juarez, P. (2010). The economic value of wellness and disease programs. Population Health Management, 13(6), 309-317. doi: http://dx.doi.org/10.1089/pop.2009.0070
Sharp, P., Bottorff, J. L., Hunt, K., Oliffe, J. L., Johnson, S. T., Dudley, L., Caperchione., C. M. (2018). Men's perspectives of a gender-sensitized health promotion program targeting healthy eating, active living, and social connectedness. Am J Men’s Health. 12(6). doi: 10.1177/1557988318799159
Smoldt, R. K. (2009). The role of new healthcare technologies in a national wellness strategy. American Health & Drug Benefit, 2(1), S10-S15. Retrieved from http://www.AHDBonline.com
Taylor, P. J., Kolt, G. S., Vandelanotte, C., Caperchione, C. M., Mummery, W. K., George, E. M., . . . Noakes, M. J. (2013). A Review of the nature and effectiveness of nutrition intervention in adult males. International Journal of Behavioral Nutrition and Physical Activity, 10, 1-13. doi:10.1186/1479-5868-10-13
U.S. Department of Agriculture & U.S. Department of Health & Human Services (2010). Dietary guidelines for Americans 2010. Retrieved from http://www.health.gov/dietaryguidelines/dga2010/DietaryGuidelines 2010.pdf
U.S. Department of Health & Human Services (2014). Physical Activity Guidelines for Americans. Retrieved from http://www.health.gov/paguidelines/guidelines/chapter1.aspx
Vandelanotte, C., Caperchione, C. M., Ellison, M., George, E. S., Maeder, A., Kolt, G. S., & Duncan, M. J. (2013). What kind of website and mobile phone-delivered physical activity and nutrition interventions do middle aged men want? Journal of Health Communication, 0, 1-14. doi:10.1081/10810730.2013.768731
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010). Using the Internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and modes of delivery on efficacy. Journal of Medical Internet Research, 12(1), e4. doi:10.2196/jmir.1376.
Westat. (2012). Health Information National Trends Survey (HINTS 4) Cycle 1 Methodology Report. Retrieved from http://hints.cancer.gov/instrument.aspx
Wong, J. Y., Gilson, N. D., van Uffelen, J. G., & Brown, W. J. (2012). The effects of workplace physical activity interventions in men: a systematic review. American Journal of Men’s Health, 6(4), 303-313. doi:10/1177/1557988312436575
Yu, C. H., Parsons, J., Mamdani, M., Lebovic, G., Shah, B. R., Bhattacharyya, O., . . . Straus, S. E. (2012). Designing and evaluating a web-based self-management site for patients with type II diabetes – systematic website development and study protocol. BMC Medical Informatics and Decision Making, 12(57), 1-12. doi:10.1186/1472-6947-12-5
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Karen Denise Maxwell, Dr. Gerrior, Dr. Crawford
This work is licensed under a Creative Commons Attribution 4.0 International License.