World Journal of Preventive Medicine
ISSN (Print): 2379-8823 ISSN (Online): 2379-8866 Website: https://www.sciepub.com/journal/jpm Editor-in-chief: Apply for this position
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World Journal of Preventive Medicine. 2017, 5(1), 43-48
DOI: 10.12691/jpm-5-1-6
Open AccessArticle

A Pilot Randomized Controlled Trial to Promote Physical Activity and Change Fitness Scores in Rural College Students: The Northern eHealth / mHealth Trial (N-EMT)

Peter D. Hart1, 2, , Gabriel Benavidez1, 3, Andrew Potter1, Kilby Rech1, Cory Michael Budak1, Cydney Auzenne1, Jade Failing1, Taruha Kirkaldie1, Michelle Lonebear1 and Linda Miller1

1Health Promotion Program, Montana State University - Northern, Havre, MT 59501, USA

2Kinesmetrics Lab, Montana State University - Northern, Havre, MT 59501, USA;Health Demographics, Havre, MT 59501, USA

3Kinesmetrics Lab, Montana State University - Northern, Havre, MT 59501, USA

Pub. Date: November 30, 2017

Cite this paper:
Peter D. Hart, Gabriel Benavidez, Andrew Potter, Kilby Rech, Cory Michael Budak, Cydney Auzenne, Jade Failing, Taruha Kirkaldie, Michelle Lonebear and Linda Miller. A Pilot Randomized Controlled Trial to Promote Physical Activity and Change Fitness Scores in Rural College Students: The Northern eHealth / mHealth Trial (N-EMT). World Journal of Preventive Medicine. 2017; 5(1):43-48. doi: 10.12691/jpm-5-1-6

Abstract

The aim of this study was to examine the feasibility and efficacy of two different technology-based health education interventions on physical activity (PA) and physical fitness (PF) outcomes in college students. A total of N=15 college students attending a small rural university were equally randomized to one of three groups: eHealth, mHealth, or wait-list control. Intervention components lasted four weeks. The eHealth group received four 1-week long health education modules via a campus-based website. The mHealth group also received four 1-week long modules with similar content as eHealth but with use of instant messaging and Facebook alerts. The control group was asked to behave in their usual manner. Outcome measures included scores from PF assessments, self-reported PA, theory of planned behavior (TPB) scales, and health-related quality of life (HRQOL) measures. Analyses indicated that mHealth made improvement on all PF measures. As well, mHealth made more improvement on PA measures than either eHealth or control. Results from this pilot study indicate that technology-based health education interventions are a feasible and efficacious strategy for promoting PA on rural college campuses.

Keywords:
health promotion physical activity physical fitness eHealth mHealth rural health

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Raven P, Wasserman D, Squires W, Murray T. Exercise Physiology. Nelson Education; 2012.
 
[2]  Physical Activity Guidelines Advisory Committee. Physical activity guidelines advisory committee report, 2008. Washington, DC: US Department of Health and Human Services. 2008 Jun 24; 2008: A1-H14.
 
[3]  US Department of Health and Human Services, Office of Disease Prevention and Health Promotion, US Department of Health and Human Services, Office of Disease Prevention and Health Promotion. Healthy people 2020.
 
[4]  American College of Sports Medicine. ACSM's Resources for the Exercise Physiologist, 2nd. Philadelphia, Md.: Lippincott Williams & Wilkins; 2017.
 
[5]  American College of Sports Medicine, editor. ACSM's health-related physical fitness assessment manual. Lippincott Williams & Wilkins; 2013 Jan 21.
 
[6]  Norman GJ, Zabinski MF, Adams MA, Rosenberg DE, Yaroch AL, Atienza AA. A review of eHealth interventions for physical activity and dietary behavior change. American journal of preventive medicine. 2007 Oct 31; 33(4): 336-45.
 
[7]  Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Translational behavioral medicine. 2011 Mar 1; 1(1): 53-71.
 
[8]  Gomez QS, Walthouwer MJ, Schulz DN, de Vries H. mHealth or eHealth? Efficacy, Use, and Appreciation of a Web-Based Computer-Tailored Physical Activity Intervention for Dutch Adults: A Randomized Controlled Trial. Journal of medical Internet research. 2016 Nov 9; 18(11): e278.
 
[9]  American College Health Association. (2009). American College Health Association-National College Health Assessment Spring 2008 Reference Group Data Report (abridged): the American College Health Association. Journal of American college health: J of ACH, 57(5), 477.
 
[10]  Garber, C. E., & Glass, S. C. (2006). ACSM's resource manual for guidelines for exercise testing and prescription. L. A. Kaminsky, & K. A. Bonzheim (Eds.). Baltimore, MD: Lippincott Williams & Wilkins.
 
[11]  Geoffrey C. Urbaniak and Scott Plous (2016): https://www.randomizer.org/.
 
[12]  McKenzie, J. F., Neiger, B. L., & Thackeray, R. (2016). Planning, implementing & evaluating health promotion programs: A primer. Pearson.
 
[13]  D2L Corporation (2016): https://www.d2l.com/.
 
[14]  Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
 
[15]  Hagströmer, M., Oja, P., & Sjöström, M. (2006). The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public health nutrition, 9(06), 755-762.
 
[16]  2013-2014 National Health and Nutrition Examination Survey (NHANES). Physical Activity and Physical Fitness component.
 
[17]  American College of Sports Medicine. (2013). ACSM's guidelines for exercise testing and prescription. Lippincott Williams & Wilkins.
 
[18]  Suni, J., Husu, P., & Rinne, M. (2009). Fitness for health: the ALPHA-FIT test battery for adults aged 18-69. Tester’s Manual. Tampare, Finland: Published by European Union DS, and the UKK Institute for Health Promotion Research.
 
[19]  McArdle, W. D., Katch, F. I., & Katch, V. L. (2010). Exercise physiology: nutrition, energy, and human performance. Lippincott Williams & Wilkins.
 
[20]  Ware, J. E., Kosinski, M., Turner-Bowker, D. M., & Gandek, B. (2005). How to score version 2 of the SF-12 health survey (with a supplement documenting version 1). QualityMetric Incorporated.
 
[21]  Cohen, J. (1988) Statistical power analysis for the behavioral sciences (2nd ed.).
 
[22]  Tabachnick, B. G., Fidell, L. S., & Osterlind, S. J. (2007). Using multivariate statistics. 5th Edition. Pearson.
 
[23]  Wagner III WE. Using IBM® SPSS® statistics for research methods and social science statistics. Sage Publications; 2016 Feb 24.
 
[24]  Cody, R. P., & Smith, J. K. (2006). Applied statistics and the SAS programming language. 5th Edition. Pearson.