A Survey Study on the Impact of Contextual Variables on Medical Students’ Use of Health Messenger Media

Document Type : Original Article

Authors

Department of E-Learning in Medical Sciences, Virtual School and Center of Excellence in E-Learning, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Background: Medical students receive health information from various media sources and messages. Receiving health information can have a significant impact on the students’ dietary habits and healthy lifestyles. This study aimed to investigate the status of medical students’ use of health media and messaging, as well as the contextual variables that affect it.
Methods: A survey study was conducted on 500 students of Shiraz University of Medical Sciences during September to December 2022 that were selected by simple random sampling. The research tool was a researcher-made questionnaire consisting of 15 items and six domains on a 4-point Likert scale, with a cutting point of 2.5. The validity of the tool was assessed using the CVI and CVR index, and its reliability was confirmed by internal consistency of 0.818. Data were collected through an e-questionnaire and analyzed using one-sample t-tests, independent t-tests, and ANOVA, using SPSS v.24 software.
Results: About 40% of the participants were male. 36.4% were BS students, 27.8% MD, 20.5% MSc degree, and the remaining were in the PhD program. 73.3% of the participants were single, 43.8% lived with their parents, and 28.8% lived in the dormitory. Among the types of health media, Internet searches (M=2.950), verbal conversations (M=2.394), scientific resources (M=2.236), and official health information websites (M=2.128) had the highest means, while mass media like radio and television were the lowest. Contextual factors such as age, field of study, place of residence, marital status, and educational level had a significant effect on the students’ preference (P<0.05), but gender had no significant effect (P>0.05).
Conclusion: Students have access to the Internet and receive most of their information through this medium. Monitoring the sources and content of health information websites, as well as strengthening health media literacy among students, are of great importance

Keywords

References

Roundtable on Environmental Health Sciences, Research, and Medicine; Board on Population Health and Public Health Practice; Institute of Medicine. Public Health Linkages with Sustainability: Workshop Summary. Washington (DC): National Academies Press (US); 2013 Jul 19. PMID: 24872987. 
UN (United Nations). Report of the United Nations conference on environment and development, Rio de Janeiro, Brazil, 3-14 June 1992. New York: United Nations; 1992. (A/CONF.151/26).
Hosseinnejad M, Klantarzadeh M. Study of lifestyle based on the Pender's Health Promotion model among students of Islamic Azad University. Iran J Health Educ Health Promot 2014; 1 (4) :15-28. URL: http://journal.ihepsa.ir/article-1- 98-en.html
Seale C. Health and media: an overview. Sociol Health Illn. 2003 Sep;25(6):513- 31. doi: 10.1111/1467-9566.t01-1-00356. PMID: 12919443.
Ahmadi S, Almotahari F. Representation of Health-Related Messages in Print Media Content Analysis of Iran, Hamshahri and Jam-e Jam Dailies. Rasaneh. 2018;29(1):127-144.
Jimenez P, Bregenzer A. Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation. J Med Internet Res. 2018 Feb 23;20(2):e65. doi: 10.2196/ jmir.8769. PMID: 29475828; PMCID: PMC5845105.
Webb TL, Joseph J, Yardley L, Michie S. 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 mode of delivery on efficacy. J Med Internet Res. 2010 Feb 17;12(1):e4. doi: 10.2196/jmir.1376. PMID: 20164043; PMCID: PMC2836773.
Farquhar JW, Maccoby N, Wood PD, Alexander JK, Breitrose H, Brown BW Jr, Haskell WL, McAlister AL, Meyer AJ, Nash JD, Stern MP. Community education for cardiovascular health. Lancet. 1977 Jun 4;1(8023):1192-5. doi: 10.1016/s0140- 6736(77)92727-1. PMID: 68285.
Yang Q. Are Social Networking Sites Making Health Behavior Change Interventions More Effective? A Meta-Analytic Review. J Health Commun. 2017 Mar;22(3):223-233. doi: 10.1080/10810730.2016.1271065. Epub 2017 Feb 16. PMID: 28248623. 
Gough A, Hunter RF, Ajao O, Jurek A, McKeown G, Hong J, Barrett E, Ferguson M, McElwee G, McCarthy M, Kee F. Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages. JMIR Public Health Surveill. 2017 Mar 23;3(1):e14. doi: 10.2196/publichealth.6313. PMID: 28336503; PMCID: PMC5383801. 
Tang L, Wang J. Effects of New Media Use on Health Behaviors: A Case Study in China. Iran J Public Health. 2021 May;50(5):949-958. doi: 10.18502/ijph. v50i5.6112. PMID: 34183953; PMCID: PMC8223554.
Winkleby MA, Flora JA, Kraemer HC. A community-based heart disease intervention: predictors of change. Am J Public Health. 1994 May;84(5):767- 72. doi: 10.2105/ajph.84.5.767. PMID: 8179046; PMCID: PMC1615047.
Grimes HA, Forster DA, Newton MS. Sources of information used by women during pregnancy to meet their information needs. Midwifery. 2014 Jan;30(1):e26-33. doi: 10.1016/j.midw.2013.10.007. Epub 2013 Oct 17. PMID: 24246969. 
Lewallen LP. Healthy behaviors and sources of health information among low-income pregnant women. Public Health Nurs. 2004 May-Jun;21(3):200-6. doi: 10.1111/j.0737-1209.2004.021302.x. PMID: 15144364. 
Oviatt JR, Reich SM. Pregnancy posting: exploring characteristics of social media posts around pregnancy and user engagement. Mhealth. 2019 Oct 8;5:46. doi: 10.21037/mhealth.2019.09.09. PMID: 31728381; PMCID: PMC6851430. 
Oh HJ, Lauckner C, Boehmer J, Fewins- Bliss R, Li K. Facebooking for health: An examination into the solicitation and effects of health-related social support on social networking sites. Comput Human Behav. 2013 Sep;29(5):2072-2080. doi: 10.1016/j.chb.2013.04.017.
Norman GJ, Zabinski MF, Adams MA, Rosenberg DE, Yaroch AL, Atienza AA. A review of eHealth interventions for physical activity and dietary behavior change. Am J Prev Med. 2007 Oct;33(4):336-345. doi: 10.1016/j. amepre.2007.05.007. PMID: 17888860; PMCID: PMC2180189.
Khademolhosseini F, Noroozi A, Tahmasebi R. The Effect of Health Belief Model-Based Education through Telegram Instant Messaging Services on Pap smear performance. Asian Pac J Cancer Prev. 2017 Aug 27;18(8):2221- 2226. doi: 10.22034/APJCP.2017.18.8.2221. PMID: 28843259; PMCID: PMC5697484.
Romiani N, Miresmaili BS, Azam K, Borjalilu S. Exploring the Relationships between Internet Usage and Family Values of College Students. Iran J Public Health. 2016 Oct;45(10):1381-1382. PMID: 27957451; PMCID: PMC5149508.
Riper H, Andersson G, Christensen H, Cuijpers P, Lange A, Eysenbach G. Theme issue on e-mental health: a growing field in internet research. J Med Internet Res. 2010 Sep-Oct;12(5):e74. doi: 10.2196/jmir.1713. PMID: 21169177; PMCID: PMC3057318. 
Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annu Rev Public Health. 2015 Mar 18;36:393-415. doi: 10.1146/annurevpublhealth- 031914-122855. PMID: 25785892; PMCID: PMC4406229.
Wei Ch N, Harada K, Ueda K, Fukumoto K, Minamoto K, Ueda A. Assessment of health-promoting lifestyle profile in Japanese university students. Environmental Health and Preventive Medicine. 2012;17(3):222-227. 
Lee R and Yuen Loke A. Health-promoting behaviors and psychosocial well-being of university students in Hong Kong. Public Health Nursing. 2005;22(3):209-220.
Dini T, Tavakoli H.R, Rahmati Najarkolaei F, Dabbagh Moghadam A, Khoshdel A. Knowledge, beliefs and behavior of food consumption among students of military university: The application of health belief model (HBM). Iranian Journal of Military Medicine. 2012;14(3):206-213. (In Persian) 
Norouzinia R, Aghabarari M, Kohan M, Karimi M. Health promotion behaviors and their correlation with anxiety and some students' demographic factors of Alborz University of Medical Sciences. Journal of Health Promotion Management. 2013;2(4):39-49.
Walker SN, Sechrist KR, Pender NJ. The health-promoting lifestyle profile: Development and psychometric characteristics. Nursing Research. 1987;36(2):76-81.
Cochran WG. Sampling techniques. 3rd ed. John Wiley & Sons, Inc.; New York, NY, USA: 1977. 
Lawshe CH. A quantitative approach to content validity. Personnel Psychology. 1975;28(4):563-575. 29 Waltz C.F., Bausell B.R. Nursing research: Design statistics and computer analysis. Davis FA. 1981.
Soroudi, S., Mostafapour, S., Olumi, S. Investigating the relationship between "social network use" and "depression" among students of Mashhad School of Paramedical Sciences.. Horizons of Medical Education Development, 2021; 12(1): 24-6. doi: 10.22038/ hmed.2020.49199.1032 
Ghaffari S, Pourhabibi M. Investigating the information behavior and seeking information of librarians of public libraries in Kerman province about health information. Journal of Knowledge Studies, 2019; 12(46): 51-62.
Bannor R, Asare AK, Bawole JN. Effectiveness of social media for communicating health messages in Ghana. Health Educ. 2017 Jun 5. 
Atkinson NL, Saperstein SL, Pleis J. Using the internet for health-related activities: findings from a national probability sample. J Med Internet Res. 2009 Feb 20;11(1):e4. doi: 10.2196/jmir.1035. PMID: 19275980; PMCID: PMC2762768. 
Tarnaha AS, Tsafa TN, Sase M. Influence of Radio Benue Public Health Messages on Behavioural Change among Residents of Makurdi, Nigeria. SAU J MANAG SOC SCI. 2021 May 31;6(1):217-27.
Wong DK, Cheung MK. Online health information seeking and eHealth literacy among patients attending a primary care clinic in Hong Kong: a cross-sectional survey. J Med Internet Res. 2019 Mar 27;21(3):e10831.
Li Y, Wang X, Lin X, Hajli M. Seeking and sharing health information on social media: A net valence model and crosscultural comparison. Technol Forecast Soc Change. 2018;126:28-40.
Moradi A, Jamshidi E. Association of social networks and health-related quality of life among adults. Payesh. 2018;17(2):147-157. 
Forghani MM, Mohajeri R. The relationship between the use of figurative communication networks and the changes in the lifestyle of youth. New Media Study. 2018;4(13):259-292. 
Chen X, Hay JL, Waters EA, Kiviniemi MT, Biddle C, Schofield E, Li Y, Kaphingst K, Orom H. Health literacy and use and trust in health information. J Health Commun. 2018 Aug 3;23(8):724-734.
Cotten SR, Gupta SS. Characteristics of online and offline health information seekers and factors that discriminate between them. Soc Sci Med. 2004 Nov;59(9):1795-806. doi: 10.1016/j. socscimed.2004.02.020. PMID: 15312915. 
Kulandairaj AJ. Impact of social media on the lifestyle of youth. Int J Tech Res Appl. 2014;2(8):22-28.
Asiri AK, Almetrek MA, Alsamghan AS, Mustafa O, Alshehri SF. Impact of Twitter and WhatsApp on sleep quality among medical students in King Khalid University, Saudi Arabia. Sleep Hypnosis (Online). 2018;20(4):247-252. 
Cho J, Park D, Lee HE. Cognitive factors of using health apps: systematic analysis of relationships among health consciousness, health information orientation, eHealth literacy, and health app use efficacy. J Med Internet Res. 2014 May 9;16(5):e125.

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