The rapid diffusion of new media platforms transformed how young people accessed and circulated health information, particularly in urban contexts such as Lagos State, Nigeria. While digital platforms provided convenient and interactive channels for health communication, they also raised concerns regarding credibility, motivation, and the unregulated sharing of medical tips. Despite the growing relevance of digital health engagement, limited empirical research has examined the factors that shape both health information-seeking and altruistic-sharing behaviours among Nigerian youth. This study addressed this gap by investigating the determinants of seeking and sharing medical health tips on new media platforms among young people in Lagos State. Guided by the Health Belief Model (HBM) and the Uses and Gratifications Theory (UGT), the study explained how cognitive perceptions, motivations, and social gratifications influenced digital health engagement. A descriptive survey design was adopted, using a structured online questionnaire to collect data from 229 digitally active youths aged 18–33 years. Respondents were selected through purposive sampling, targeting individuals who used social media platforms actively and had previously sought or shared health information online. Data were analysed using descriptive statistics, including frequencies, percentages, means, and standard deviations. Findings indicated that young people in Lagos State had sought medical health tips on new media platforms frequently, and they were motivated primarily by interest in health and well-being, information credibility, and convenience. In contrast, the study found that sharing behaviour was driven predominantly by altruistic motivations, particularly the desire to help others, contribute to community well-being, and derive personal satisfaction. Also, the study revealed that social validation and recognition were less influential, suggesting that health-related sharing was largely community-oriented rather than ego-driven. The study concluded that young Lagosians were intentional and responsible digital health participants who used new media not only for personal benefit but also for collective well-being. It is recommended that health communication campaigns leverage altruistic motivations, collaborate with credible digital influencers, and strengthen digital health literacy to enhance effective, trustworthy health communication in Nigeria.
| Published in | American Journal of Health Research (Volume 14, Issue 2) |
| DOI | 10.11648/j.ajhr.20261402.16 |
| Page(s) | 111-123 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Digital Health Engagement, Altruistic Sharing, E-health Literacy, Social Media, Young Adults
Variables | Variables | Frequency | Percentage |
|---|---|---|---|
How often do you seek medical health tips on new media platforms? | Daily | 42 | 18.3 |
Monthly | 27 | 11.8 | |
Never | 30 | 13.1 | |
Rarely | 71 | 31.0 | |
Weekly | 59 | 25.8 | |
Total | 229 | 100.0 | |
How often do you share medical health tips on new media platforms? | Daily | 15 | 6.6 |
Monthly | 27 | 11.8 | |
Never | 15 | 6.6 | |
Rarely | 121 | 52.8 | |
Weekly | 51 | 22.3 | |
Total | 229 | 100.0 |
Motivating Factor to Seek | 1 Less Important | 2 Slightly Important | 3 Moderately Important | 4 Important | 5 Very Important | Mean | SD |
|---|---|---|---|---|---|---|---|
Convenience | 16.6% (n=38) | 12.2% (n=28) | 24.5% (n=56) | 28.8% (n=66) | 17.9% (n=41) | 3.24 | 1.25 |
Credibility of Information | 10.5% (n=24) | 9.2% (n=21) | 18.8% (n=43) | 32.8% (n=75) | 28.7% (n=66) | 3.69 | 1.18 |
Interest in Health and Well-being | 8.3% (n=19) | 6.1% (n=14) | 19.2% (n=44) | 33.6% (n=77) | 32.8% (n=75) | 3.84 | 1.16 |
Recommendations from Friends or Family | 19.2% (n=44) | 14.2% (n=33) | 26.6% (n=61) | 24.0% (n=55) | 16.0% (n=37) | 3.03 | 1.28 |
Cost-effective Alternative to Traditional Healthcare | 22.7% (n=52) | 18.3% (n=42) | 23.1% (n=53) | 19.6% (n=45) | 16.3% (n=37) | 2.88 | 1.32 |
Motivating Factor to Share | 1 Less Important | 2 Slightly Important | 3 Moderately Important | 4 Important | 5 Very Important | Mean | SD |
|---|---|---|---|---|---|---|---|
Desire to help others | 5.2% (n=12) | 12.2% (n=28) | 17.9% (n=41) | 24.9% (n=57) | 39.8% (n=91) | 4.05 | 1.12 |
Contribution to community well-being | 6.1% (n=14) | 15.3% (n=35) | 23.1% (n=53) | 18.3% (n=42) | 37.2% (n=86) | 3.97 | 1.15 |
Personal satisfaction | 12.2% (n=28) | 14.4% (n=33) | 28.8% (n=66) | 7.0% (n=16) | 37.6% (n=86) | 3.81 | 1.21 |
Influence and impact on others | 14.0% (n=32) | 16.6% (n=38) | 20.5% (n=47) | 7.0% (n=16) | 41.9% (n=96) | 3.77 | 1.25 |
Recognition and social validation | 18.3% (n=42) | 21.0% (n=48) | 30.1% (n=69) | 5.2% (n=12) | 25.4% (n=58) | 3.42 | 1.27 |
| [1] |
Adebayo, S. (2020, October 15). Young Nigerians rise up to demand a different kind of freedom. The Conversation.
https://theconversation.com/young-nigerians-rise-up-to-demand-a-different-kind-of-freedom-148105 |
| [2] |
Adelakun, T. (2022, January 25). Which role for the Nigerian youth in the emergence of a New Nigeria? – IFAIR.
https://ifair.eu/2022/01/25/which-role-for-the-nigerian-youth-in-the-emergence-of-a-new-nigeria/ |
| [3] | Al-Dmour, H., Masa’deh, R., Salman, A., Al-Dmour, R., & Abuhashesh, M. (2022). The Role of Mass Media Interventions on Promoting Public Health Knowledge and Behavioral Social Change Against COVID-19 Pandemic in Jordan. SAGE Open, 12(1), 215824402210821. |
| [4] | Anwar, A., Malik, M., Raees, V., & Anwar, A. (2020). Role of Mass Media and Public Health Communications in the COVID-19 Pandemic. Cureus, 12(9). |
| [5] | Araújo, A. C. D., Knijnik, J., & Ovens, A. P. (2020). How does physical education and health respond to the growing influence in media and digital technologies? An analysis of curriculum in Brazil, Australia and New Zealand. Journal of Curriculum Studies, 1–15. |
| [6] | Asika, N. (2009). Research methodology in the behavioural science. Lagos: Emorise Publishers Nigeria. |
| [7] | Astatke, M., Weng, C., & Chen, S. (2021). A literature review of the effects of social networking sites on secondary school students’ academic achievement. Interactive Learning Environments, 1–17. |
| [8] | Awofeso, N., Gaber, Y., & Bamidele, M. (2019). Determinants of Youth Engagement with Health Information on Social Media Platforms in United Arab Emirates. Health, 11(02), 249–262. |
| [9] | Bailey, R. L. (2022). Editorial: Health information seeking, processing, and sharing. Frontiers in Psychology, 13. |
| [10] | Banda, F., Mudhai, O. F., & Tettey, W. J. (2009). Introduction: New Media and Democracy in Africa—A Critical Interjection. In African Media and the Digital Public Sphere (pp. 1–20). Palgrave Macmillan. |
| [11] | Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman. |
| [12] | Basch, C. H., MacLean, S. A., Romero, R. L., Ethan, D., Garcia, P., & Clark, A. (2017). Health information seeking behavior among college students. Journal of Community Health, 42(5), 880-888. |
| [13] | Battineni, G., Baldoni, S., Chintalapudi, N., Sagaro, G. G., Pallotta, G., Nittari, G., & Amenta, F. (2020). Factors affecting the quality and reliability of online health information. DIGITAL HEALTH, 6, 205520762094899. |
| [14] | BBC. (2021, November). Using social media to strengthen the political participation of young women and men in Nigeria. |
| [15] | Bernhardt, J. M., Chaney, J. D., Chaney, B. H., & Hall, A. K. (2013). New Media for Health Education. Health Education & Behavior, 40(2), 129–132. |
| [16] | Boulos, M. N., Wheeler, S., Tavares, C., & Jones, R. (2011). How smartphones are changing the face of mobile and participatory healthcare: An overview, with example from eCAALYX. BioMedical Engineering OnLine, 10(1), 24. |
| [17] | Brodie, M., Hamel, E. C., Altman, D. E., Blendon, R. J., & Benson, J. M. (2003). Health News and the American Public, 1996–2002. Journal of Health Politics, Policy and Law, 28(5), 927–950. |
| [18] | Bryman, A. (2012). "Focus Groups." In Social Research Methods, 345–62. 4th edition. Oxford. England. |
| [19] | Centola, D. (2013). Social Media and the Science of Health Behavior. Circulation, 127(21), 2135–2144. |
| [20] | Champion, V. L., & Skinner, C. S. (2008). The health belief model. In K. Glanz, B. K. Rimer, & K. Viswanath (Eds.), Health behavior and health education: Theory, research, and practice (4th ed., pp. 45-65). Jossey-Bass. |
| [21] |
Chen, B. X. (2023, April 19). The Future of Social Media Is a Lot Less Social. The New York Times.
https://www.nytimes.com/2023/04/19/technology/personaltech/tiktok-twitter-facebook-social.html |
| [22] | Chen, J., & Wang, Y. (2021). Health literacy and information seeking and sharing during a public health crisis in China. Asian Journal of Communication, 31(3), 216–235. |
| [23] | Chen, Y. (2012). The impact of health literacy on preventive health care use among older adults in Taiwan. Journal of Population Ageing, 5(1-2), 77-91. |
| [24] | Eisenberg, N. (2000). Emotion, regulation, and moral development. Annual Review of Psychology, 51(1), 665-697. |
| [25] | Ephraim, P. E. (2013). African youths and the dangers of social networking: a culture-centered approach to using social media. Ethics and Information Technology, 15(4), 275–284. |
| [26] | Esipisu, I., & Kariithi, N. (2011). New Media Development in Africa. Global Media Journal African Edition, 1(1). |
| [27] | Fergie, G., Hunt, K., & Hilton, S. (2016). Social media as a space for support: Young adults’ perspectives on producing and consuming user-generated content about diabetes and mental health. Social Science & Medicine, 170, 46–54. |
| [28] | Fishbein, M. (2000). The role of theory in HIV prevention. AIDS Care, 12(3), 273-278. |
| [29] | Fraenkel, F. J., &Warren, N. E. (2002), How to design and evaluate research in education (4th ed.). New York: McGraw- Hill. |
| [30] | Frère, M.-S. (2022). The Emergence of Modern Media and Politics in Africa. In Politics and Journalism in Francophone Africa., Cham. (pp. 29–66). Palgrave Macmillan. |
| [31] | Ghahramani, A., de Courten, M., & Prokofieva, M. (2022). “The potential of social media in health promotion beyond creating awareness: an integrative review.” BMC Public Health, 22(1). |
| [32] | Gill, H. K., Gill, N., & Young, S. D. (2013). Online Technologies for Health Information and Education: A literature review. Journal of Consumer Health on the Internet, 17(2), 139–150. |
| [33] | Goldberg, A. J., Litt, D. M., & Santa Maria, D. (2019). Peer influence and alcohol use among adolescents: Mediating roles of self-efficacy and refusal assertiveness. Addictive Behaviors, 88, 98-105. |
| [34] | Goodyear, V. A., Armour, K. M., & Wood, H. (2018). Young people and their engagement with health-related social media: new perspectives. Sport, Education and Society, 24(7), 673–688. |
| [35] | Graffigna, G., Barello, S., Bonanomi, A., & Riva, G. (2017). Factors affecting patients’ online health information-seeking behaviours: The role of the Patient Health Engagement (PHE) Model. Patient Education and Counseling, 100(10), 1918–1927. |
| [36] | Gulzar, M. A., Ahmad, M., Hassan, M., & Rasheed, M. I. (2021). How social media use is related to student engagement and creativity: investigating through the lens of intrinsic motivation. Behaviour & Information Technology, 41(11), 1–11. |
| [37] | Ham, C.-D., Lee, J., Hayes, J. L., & Bae, Y. H. (2018). Exploring sharing behaviors across social media platforms. International Journal of Market Research, 61(2), 157–177. |
| [38] | Harris, J., Atkinson, A., Mink, M., & Porcellato, L. (2020). Young People’s Experiences and Perceptions of YouTuber-Produced Health Content: Implications for Health Promotion. Health Education & Behavior, 48(2), 199–207. |
| [39] | Healthcommcapacity. (2023, June 25). Nigeria – Health Communication Capacity Collaborative – Social and Behavior Change Communication. |
| [40] | Hochbaum, G. M., Rosenstock, I. M., & Kegels, S. (1952). Health belief model. Public Health Reports, 67(4), 390-398. |
| [41] | Horgan, Á., & Sweeney, J. (2018). Young students’ use of social media and their motivation to engage in social sharing of news. International Journal of Social Media and Interactive Learning Environments, 6(2), 122-138. |
| [42] | How to Calculate Sample Size Using Yamane Equation by G N Satish Kumar (2019): |
| [43] | Htay, M. N. N., Parial, L. L., Tolabing, M. C., Dadaczynski, K., Okan, O., Leung, A. Y. M., & Su, T. T. (2022). Digital health literacy, online information-seeking behaviour, and satisfaction of Covid-19 information among the university students of East and South-East Asia. PloS One, 17(4), e0266276. |
| [44] | Iftikhar, R., & Abaalkhail, B. (2017). Health-Seeking Influence Reflected by Online Health-Related Messages Received on Social Media: Cross-Sectional Survey. Journal of Medical Internet Research, 19(11), e382. |
| [45] | Igbinoba, A. O., Soola, E. O., Omojola, O., Odukoya, J., Adekeye, O., & Salau, O. P. (2020). Women’s mass media exposure and maternal health awareness in Ota, Nigeria. Cogent Social Sciences, 6(1), 1766260. |
| [46] | Jacobs, W., Amuta, A. O., & Jeon, K. C. (2017). Health information seeking in the digital age: An analysis of health information seeking behavior among US adults. Cogent Social Sciences, 3(1). |
| [47] | Jia, X., Pang, Y., & Liu, L. S. (2021). Online Health Information Seeking Behavior: A Systematic Review. Healthcare, 9(12), 1740. |
| [48] | Jiang, S., & Ngien, A. (2020). The Effects of Instagram Use, Social Comparison, and Self-Esteem on Social Anxiety: A Survey Study in Singapore. Social Media + Society, 6(2), 205630512091248. sagepub. |
| [49] | Karim, F., Oyewande, A., & Abdalla, L. (2020). Social Media Use and Its Connection to Mental Health: A Systematic Review. Cureus, 12(6). |
| [50] | Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509-523. |
| [51] | Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The Uses of Mass Communications: Current Perspectives on Gratifications Research (pp. 19–32). Sage Publications. |
| [52] | Katz, E., Gurevitch, M., & Haas, H. (1973). On the Use of the Mass Media for Important Things. American Sociological Review, 38(2), 164–181. |
| [53] | Kim, K.-S., Sin, S.-C. J., & He, Y. (2013). Information seeking through social media: Impact of user characteristics on social media use. Proceedings of the American Society for Information Science and Technology, 50(1), 1–4. |
| [54] | Kim, M., Jun, M., & Han, J. (2022). The relationship between needs, motivations and information sharing behaviors on social media: focus on the self-connection and social connection. Asia Pacific Journal of Marketing and Logistics, ahead-of-print (ahead-of-print). |
| [55] | Kümpel, A. S., Karnowski, V., & Keyling, T. (2015). News Sharing in Social Media: A Review of Current Research on News Sharing Users, Content, and Networks. Social Media + Society, 1(2), 205630511561014. |
| [56] | LaRose, R., & Eastin, M. S. (2002). Is Online News Credible? Exploring the Uses and Gratifications Theory. Journal of New Media & Society, 4(2), 275–294. |
| [57] | Lazarsfeld, P. F., Berelson, B., & Gaudet, H. (1944). The people's choice: How the voter makes up his mind in a presidential campaign. Columbia University Press. |
| [58] | Le, L. H., Hoang, P. A., & Pham, H. C. (2022). Sharing health information across online platforms: A systematic review. Health Communication, 1–13. |
| [59] | Lee, C. S., & Ma, L. (2012). News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior, 28(2), 331–339. |
| [60] | Lee, H. Y., Jin, S. W., Henning-Smith, C., Lee, J., & Lee, J. (2019). The Role of Health Literacy in Health-Related Information Seeking Behavior Online: A Cross-Sectional Study (Preprint). Journal of Medical Internet Research. |
| [61] | Lim, M. S. C., Molenaar, A., Brennan, L., Reid, M., & McCaffrey, T. (2022). Young Adults’ Use of Different Social Media Platforms for Health Information: Insights From Web-Based Conversations. Journal of Medical Internet Research, 24(1), e23656. |
| [62] | Lin, W.-Y., Zhang, X., & Cao, B. (2018). How Do New Media Influence Youths’ Health Literacy? Exploring the Effects of Media Channel and Content on Safer Sex Literacy. International Journal of Sexual Health, 30(4), 354–365. |
| [63] | Lupton, D. (2020). Young People’s Use of Digital Health Technologies in the Global North: A Narrative Review (Preprint). Journal of Medical Internet Research, 23(1). |
| [64] | Ma, W. W. K., & Chan, A. (2014). Knowledge sharing and social media: Altruism, perceived online attachment motivation, and perceived online relationship commitment. Computers in Human Behavior, 39, 51–58. |
| [65] | Malik, A., Bashir, F., & Mahmood, K. (2023). Antecedents and Consequences of Misinformation Sharing Behavior among Adults on Social Media during COVID-19. SAGE Open, 13(1), 215824402211470. |
| [66] | Malik, A., Islam, T., Ahmad, M., & Mahmood, K. (2022). Health information seeking and sharing behavior of young adults on social media in Pakistan. Journal of Librarianship and Information Science, 096100062210902. |
| [67] |
Markov, I. (2022, February 22). The Influence of TikTok on the Big 5 Social Media Platforms. Brandwatch.
https://www.brandwatch.com/blog/tiktok-influence-on-social-networks/ |
| [68] | Masciantonio, A., Bourguignon, D., Bouchat, P., Balty, M., & Rimé, B. (2021). Don’t put all social network sites in one basket: Facebook, Instagram, Twitter, TikTok, and their relations with well-being during the COVID-19 pandemic. PLOS ONE, 16(3), e0248384. |
| [69] | Neely, S., Eldredge, C., & Sanders, R. (2021). Health Information Seeking Behaviors on Social Media During the COVID-19 Pandemic Among American Social Networking Site Users: Survey Study. Journal of Medical Internet Research, 23(6), e29802. |
| [70] | Ng, E., Abu Seman, R. A., & Tee, J. N. (2018). Factors Influencing Health Information Seeking Behaviour Among Young Adults in UCSI University. Jurnal Pengajian Media Malaysia, 20(2), 69–86. |
| [71] | Nigeria Data Portal. (n.d.). Lagos State Population. |
| [72] |
Nigerian Communications Commission. (2023, June 10). Industry Statistics.
https://ncc.gov.ng/statistics-reports/industry-overview#view-graphs-tables-5 |
| [73] | Norman, C. D., & Skinner, H. A. (2006). eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research, 8(2), e9. |
| [74] | Obar, J. A., & Wildman, S. S. (2015). Social media definition and the governance challenge: An introduction to the special issue. Telecommunications Policy, 39(9), 745-750. |
| [75] | Oh, S., & Syn, S. Y. (2015). Motivations for sharing information and social support in social media: A comparative analysis of Facebook, Twitter, Delicious, YouTube, and Flickr. Journal of the Association for Information Science and Technology, 66(10), 2045–2060. |
| [76] | Okim-Alobi, O., & Okpara, N. (2017). Health Communication: The Responsibility of the Media in Nigeria. Specialty Journal of Medical Research and Health Science, 2(3), 1–4. |
| [77] | Olpin, E., Hanson, C. L., & Crandall, A. (2023). Influence of Social Media Uses and Gratifications on Family Health among U.S. Parents: A Cross-Sectional Study. International Journal of Environmental Research and Public Health, 20(3), 1910. |
| [78] | Omar, B., Apuke, O. D., & Nor, Z. M. (2023). The intrinsic and extrinsic factors predicting fake news sharing among social media users: the moderating role of fake news awareness. Current Psychology. |
| [79] | Ou, M., & Ho, S. S. (2021). A Meta-Analysis of Factors Related to Health Information Seeking: An Integration from Six Theoretical Frameworks. Communication Research, 009365022110430. |
| [80] | Saei, M., Valadi, S., Karimi, K., & Khammarnia, M. (2021). The role of mass media communication in public health: The impact of Islamic Republic of Iran broadcasting health channel on health literacy and health behaviors. Medical Journal of the Islamic Republic of Iran. |
| [81] | Shahbaznezhad, H., Dolan, R., & Rashidirad, M. (2022). The Role of Social Media Content Format and Platform in Users’ Engagement Behavior. Journal of Interactive Marketing, 53(1), 47–65. SagePub. |
| [82] | Sharma, A. (2011, March 15). Role of Media in Health Communication | Association for Progressive Communications. |
| [83] | Shen, K. N., & Khalifa, M. (2010). A Research Framework on Social Networking Sites Usage: Critical Review and Theoretical Extension. IFIP Advances in Information and Communication Technology, 173–181. |
| [84] | Shwartz-Asher, D., Chun, S., Adam, N. R., & Snider, K. LG. (2020). Knowledge sharing behaviors in social media. Technology in Society, 63, 101426. |
| [85] | Spiliotopoulos, T., & Oakley, I. (2019). Altruistic and selfish communication on social media: the moderating effects of tie strength and interpersonal trust. Behaviour & Information Technology, 1–17. |
| [86] |
Statista. (2021). Nigeria: leading social media platforms. Statista.
https://www.statista.com/statistics/1176101/leading-social-media-platforms-nigeria/ |
| [87] | Sundar, S. S. (2008). The Mainstreaming of Social Media: Understanding Cultural and Technological Encounters with User-Generated Content. Journal of Computer-Mediated Communication, 13(1), 210–230. |
| [88] | Tang, L., & Wang, J. (2021). Effects of New Media Use on Health Behaviors: A Case Study in China. Iranian Journal of Public Health. |
| [89] | Tejumaiye, A, J. (2017). Mass communication research-an introduction. 2nd Ed., Lagos: Dapson International Nigeria ltd. |
| [90] | Uzuegbunam, C. E. (2015). Young People’s Engagement of Social Media for Social Transformation: Study of Nigerian University Students. Online Journal of Communication and Media Technologies, 5(September 2015 - Special Issue), 171–194. |
| [91] | Wang, J., & Xie, J. (2022). Exploring the factors influencing users’ learning and sharing behavior on social media platforms. Library Hi Tech. |
| [92] | Wang, Z., & Gantz, W. (2007). Health Content in Local Television News. Health Communication, 21(3), 213–221. |
| [93] |
WHO. (2017, February 3). Determinants of health. World Health Organisation.
https://www.who.int/news-room/questions-and-answers/item/determinants-of-health |
| [94] | World Health Organisation. (2023, June 25). Nigeria Country Overview | World Health Organization. |
| [95] | Yamane, T. (1967). Statistics: An introductory analysis, 2nd Ed., New York: Harper and Row. |
| [96] | Youth Policy. (2014, June 8). Nigeria | Factsheets | Youthpolicy.org. |
| [97] | Yu, J., Taverner, N., & Madden, K. (2011). Young people’s views on sharing health-related stories on the Internet. Health & Social Care in the Community, 19(3), 326–334. |
| [98] | Zhang, Q., Feng, S., Wong, I. O. L., Ip, D. K. M., Cowling, B. J., & Lau, E. H. Y. (2020). A population-based study on healthcare-seeking behaviour of persons with symptoms of respiratory and gastrointestinal-related infections in Hong Kong. BMC Public Health, 20(1). |
| [99] | Zhang, X., Chen, B., Li, G., & Dong, Y. (2022). Exploring the health information seeking behavior of social media users under the background of COVID-19 pandemic: An empirical study based on social cognitive theory. Frontiers in Psychology, 13. |
| [100] | Zimmerman, M. S., & Shaw, G. (2020). Health information seeking behaviour: a concept analysis. Health Information & Libraries Journal. |
APA Style
Aleshinloye, O., Mogbogu, J. (2026). Determinants of Seeking and Altruistic Sharing of Medical Health Tips on New Media Platforms Among Young People in Lagos State. American Journal of Health Research, 14(2), 111-123. https://doi.org/10.11648/j.ajhr.20261402.16
ACS Style
Aleshinloye, O.; Mogbogu, J. Determinants of Seeking and Altruistic Sharing of Medical Health Tips on New Media Platforms Among Young People in Lagos State. Am. J. Health Res. 2026, 14(2), 111-123. doi: 10.11648/j.ajhr.20261402.16
@article{10.11648/j.ajhr.20261402.16,
author = {Oluwaseun Aleshinloye and Joy-Rita Mogbogu},
title = {Determinants of Seeking and Altruistic Sharing of Medical Health Tips on New Media Platforms Among Young People in Lagos State},
journal = {American Journal of Health Research},
volume = {14},
number = {2},
pages = {111-123},
doi = {10.11648/j.ajhr.20261402.16},
url = {https://doi.org/10.11648/j.ajhr.20261402.16},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajhr.20261402.16},
abstract = {The rapid diffusion of new media platforms transformed how young people accessed and circulated health information, particularly in urban contexts such as Lagos State, Nigeria. While digital platforms provided convenient and interactive channels for health communication, they also raised concerns regarding credibility, motivation, and the unregulated sharing of medical tips. Despite the growing relevance of digital health engagement, limited empirical research has examined the factors that shape both health information-seeking and altruistic-sharing behaviours among Nigerian youth. This study addressed this gap by investigating the determinants of seeking and sharing medical health tips on new media platforms among young people in Lagos State. Guided by the Health Belief Model (HBM) and the Uses and Gratifications Theory (UGT), the study explained how cognitive perceptions, motivations, and social gratifications influenced digital health engagement. A descriptive survey design was adopted, using a structured online questionnaire to collect data from 229 digitally active youths aged 18–33 years. Respondents were selected through purposive sampling, targeting individuals who used social media platforms actively and had previously sought or shared health information online. Data were analysed using descriptive statistics, including frequencies, percentages, means, and standard deviations. Findings indicated that young people in Lagos State had sought medical health tips on new media platforms frequently, and they were motivated primarily by interest in health and well-being, information credibility, and convenience. In contrast, the study found that sharing behaviour was driven predominantly by altruistic motivations, particularly the desire to help others, contribute to community well-being, and derive personal satisfaction. Also, the study revealed that social validation and recognition were less influential, suggesting that health-related sharing was largely community-oriented rather than ego-driven. The study concluded that young Lagosians were intentional and responsible digital health participants who used new media not only for personal benefit but also for collective well-being. It is recommended that health communication campaigns leverage altruistic motivations, collaborate with credible digital influencers, and strengthen digital health literacy to enhance effective, trustworthy health communication in Nigeria.},
year = {2026}
}
TY - JOUR T1 - Determinants of Seeking and Altruistic Sharing of Medical Health Tips on New Media Platforms Among Young People in Lagos State AU - Oluwaseun Aleshinloye AU - Joy-Rita Mogbogu Y1 - 2026/04/25 PY - 2026 N1 - https://doi.org/10.11648/j.ajhr.20261402.16 DO - 10.11648/j.ajhr.20261402.16 T2 - American Journal of Health Research JF - American Journal of Health Research JO - American Journal of Health Research SP - 111 EP - 123 PB - Science Publishing Group SN - 2330-8796 UR - https://doi.org/10.11648/j.ajhr.20261402.16 AB - The rapid diffusion of new media platforms transformed how young people accessed and circulated health information, particularly in urban contexts such as Lagos State, Nigeria. While digital platforms provided convenient and interactive channels for health communication, they also raised concerns regarding credibility, motivation, and the unregulated sharing of medical tips. Despite the growing relevance of digital health engagement, limited empirical research has examined the factors that shape both health information-seeking and altruistic-sharing behaviours among Nigerian youth. This study addressed this gap by investigating the determinants of seeking and sharing medical health tips on new media platforms among young people in Lagos State. Guided by the Health Belief Model (HBM) and the Uses and Gratifications Theory (UGT), the study explained how cognitive perceptions, motivations, and social gratifications influenced digital health engagement. A descriptive survey design was adopted, using a structured online questionnaire to collect data from 229 digitally active youths aged 18–33 years. Respondents were selected through purposive sampling, targeting individuals who used social media platforms actively and had previously sought or shared health information online. Data were analysed using descriptive statistics, including frequencies, percentages, means, and standard deviations. Findings indicated that young people in Lagos State had sought medical health tips on new media platforms frequently, and they were motivated primarily by interest in health and well-being, information credibility, and convenience. In contrast, the study found that sharing behaviour was driven predominantly by altruistic motivations, particularly the desire to help others, contribute to community well-being, and derive personal satisfaction. Also, the study revealed that social validation and recognition were less influential, suggesting that health-related sharing was largely community-oriented rather than ego-driven. The study concluded that young Lagosians were intentional and responsible digital health participants who used new media not only for personal benefit but also for collective well-being. It is recommended that health communication campaigns leverage altruistic motivations, collaborate with credible digital influencers, and strengthen digital health literacy to enhance effective, trustworthy health communication in Nigeria. VL - 14 IS - 2 ER -