CC BY-NC-ND 4.0 · Avicenna J Med 2020; 10(02): 76-82
DOI: 10.4103/ajm.ajm_175_19
Original Article

Technology’s role in promoting physical activity and healthy eating in working rural women: a cross-sectional quantitative analysis

Sharon S Laing
School of Nursing and Healthcare Leadership, University of Washington Tacoma, Tacoma, Washington
,
Muhammad Alsayid
Division of Digestive Diseases, Department of Medicine, Rush University Medical Center, Chicago, Illinois
,
Katheryn Christiansen
Clinical and Nursing Research, Education and Practice, Seattle Cancer Care Alliance, Seattle, Washington, USA
,
Kathleen Shannon Dorcy
Clinical and Nursing Research, Education and Practice, Seattle Cancer Care Alliance, Seattle, Washington, USA
› Author Affiliations

Subject Editor: Financial support and sponsorship Nil.

Abstract

Aims: This exploratory study evaluated sociodemographic predictors of healthy eating and physical activity (PA) in a sample of working rural women and their access to and interest in using technology for health promotion. Settings and Design: This study is a cross-sectional quantitative analysis. Materials and Methods: A 32-item questionnaire was administered to a convenience sample of N = 60 women, working at a regional healthcare facility in the Pacific Northwest. Statistical Analysis: Descriptive statistics characterized PA and healthy eating, barriers and support for PA and healthy eating, and perceived role of technology for health promotion. Chi-square tests for categorical variables evaluated relationships between PA and healthy eating support with behavioral engagement. Results: Only 23% and 25% followed recommended PA and fruit and vegetable consumption guidelines. Those likely to engage in preventive care had higher income and education. Fewer respondents reported barriers to PA than for healthy eating (47% vs. 57%), and those reporting barriers were likely to have lower income and less than a high-school education. Sixty percent reported social support for PA and only 52% for healthy eating. A significant relationship was evident between PA support and PA engagement (P = 0.015). Eighty-two percent used mobile phones to look up health information and 29% did so daily. Almost two-thirds (62%) reported likelihood of using online health information boards to support healthy eating and 45% for PA. Conclusion: Working rural women benefit from PA and healthy eating guidance. Attention to sociodemographic predictors may support a tailored digital healthcare approach to promote wellness in this community.

Key Message: Rural women are not meeting recommended healthy eating and physical activity guidelines. Electronic and mobile health technology can support preventive care behaviors for dispersed communities, and working rural women appear ready to deploy technology to support healthy eating and physical activity engagement. Technologists must tailor electronic and mobile health tools to meet the social and economic needs of rural communities to assure maximal healthcare benefits.



Publication History

Article published online:
04 August 2021

© 2020. Syrian American Medical Society. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Thieme Medical and Scientific Publishers Private Ltd.
A-12, Second Floor, Sector -2, NOIDA -201301, India

 
  • References

  • 1 Befort CA, Nazir N, Perri MG. Prevalence of obesity among adults from rural and urban areas of the United States: Findings from NHANES (2005–2008). J Rural Health 2012; 28: 392-7
  • 2 Hartley D. Rural health disparities, population health, and rural culture. Am J Public Health 2004; 94: 1675-8
  • 3 Patterson PD, Moore CG, Probst JC, Shinogle JA. Obesity and physical inactivity in rural America. J Rural Health 2004; 20: 151-9
  • 4 Trivedi T, Liu J, Probst J, Merchant A, Jhones S, Martin AB. Obesity and obesity-related behaviors among rural and urban adults in the USA. Rural Remote Health 2015; 15: 3267
  • 5 Samper-Trenent R, Snih S. Obesity in older adults: Epidemiology and implications for disability and disease. Rev Clin Gerontol 2013; 22: 10-34
  • 6 Pullen CH, Walker SN, Hageman PA, Boeckner LS, Oberdorfer MK. Differences in eating and activity markers among normal weight, overweight and obese rural women. Women’s Health Issues 2005; 15: 209-15
  • 7 Centers for Disease Control and Prevention. Strategies to Prevent Obesity and Other Chronic Diseases: The CDC Guide to Strategies to Increase the Consumption of Fruits and Vegetables. Atlanta, GA: U.S. Department of Health and Human Services; 2011
  • 8 U.S. Department of Health and Human Services. Physical Activity Guidelines for Americans. 2nd ed. Washington, DC: U.S. Department of Health and Human Services; 2018
  • 9 Seguin R, Connor L, Nelson M, LaCroix A, Eldridge G. Understanding barriers and facilitators to healthy eating and active living in rural communities. J Nutr Metab 2014; 2014: 146502
  • 10 Gilbert AS, Duncan DD, Beck AM, Eyler AA, Brownson RC. A qualitative study identifying barriers and facilitators of physical activity in rural communities. J Environ Public Health 2019; 2019: 7298692
  • 11 Zimmermann K, Carnahan LR, Peacock NR. Age-associated perceptions of physical activity facilitators and barriers among women in rural southernmost Illinois. Prev Chronic Dis 2016; 13: E138
  • 12 O’Brien T, Jenkins C, Amella E, Mueller M, Moore M, Hathaway D. An internet-assisted weight loss intervention for older overweight and obese rural women: A feasibility study. Comput Inform Nurs 2016; 34: 513-9
  • 13 2005–2019 PatientsLikeMe. Available from: https://www.patientslikeme.com/. [Last accessed on 2019 Aug 20]
  • 14 Hill JL, You W, Zoellner JM. Disparities in obesity among rural and urban residents in a health disparate region. BMC Public Health 2014; 14: 1051
  • 15 Atkinson NL, Billing AS, Desmond SM, Gold RS, Tournas-Hardt A. Assessment of the nutrition and physical activity education needs of low-income, rural mothers: can technology play a role?. J Community Health 2007; 32: 245-67
  • 16 Hutchesson MJ, Rollo ME, Krukowski R, Ells L, Harvey J, Morgan PJ. et al. eHealth interventions for the prevention and treatment of overweight and obesity in adults: A systematic review with meta-analysis. Obes Rev 2015; 16: 376-92
  • 17 Müller AM, Maher CA, Vandelanotte C, Hingle M, Middelweerd A, Lopez ML. et al. Physical activity, sedentary behavior, and diet-related eHealth and mHealth research: Bibliometric analysis. J Med Internet Res 2018; 20: e122
  • 18 Sarkar U, Gourley GI, Lyles CR, Tieu L, Clarity C, Newmark L. et al. Usability of commercially available mobile applications for diverse patients. J Gen Intern Med 2016; 31: 1417-26