Personal Characteristics of Youths and Their Influences on Sexual Health Information Seeking

Yesuselvi Manickam, Mumtaz Aini Alivi

Abstract


The primary aim of this research is to examine how youths in the Klang Valley utilize social media to seek information about sexual health issues, particularly premarital heterosexuality. By investigating this relatively unexplored area, the study aims to address a gap in the existing literature concerning the use of social media as a technology to seek sexual health information among youths in the Klang Valley. A survey technique was employed to collect data from youths aged between 18 and 24 years old who knew about sexual health issues caused by premarital heterosexuality. Three hundred eighty-four usable responses were received and analyzed using appropriate statistical procedures. The Partial Least Squares Structural Equation Modeling (SmartPLS 4.0) technique was used to test the research model. The study confirmed that user personal characteristics, which were problem recognition and involvement, enabled youths in the Klang Valley to seek sexual health information through social media. The empirical results of this study also led to several significant findings. The findings indicated that user personal characteristics directly influenced the use of social media for sexual health information. The platform's usefulness and abundance of sexual health information aided youths in the management of sexual health issues.  Overall, social media plays an essential role as a platform for youths to seek sexual health information in Malaysia.

 

Keywords: Premarital heterosexuality, youth, social media, Technology Acceptance Model, information-seeking.

 

https://doi.org/10.17576/JKMJC-2024-4003-26


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Abdullah, F., Draman, S., Abd. Aziz, K. H., Zainuddin, N. A., & Muhammad, N. A. (2020). Predicting sexual intention to engage in premarital sex among late adolescent in Kuantan government secondary schools: An application of theory of planned behaviour. IIUM Medical Journal Malaysia, 19(1). https://doi.org/nhx6

Ahadzadeh, A. S., Pahlevan Sharif, S., Ong, F. S., & Khong, K. W. (2015). Integrating health belief model and technology acceptance model: Investigating health-related internet use. Journal of Medical Internet Research, 17(2), e45. https://doi.org/ghdgtc

Ahadzadeh, A. S., Pahlevan Sharif, S., & Sim Ong, F. (2018). Online health information seeking among women: the moderating role of health consciousness. Online Information Review, 42(1), 58-72. https://doi.org/10.1108/oir-02-2016-0066

Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023). Extending the Technology Acceptance Model (TAM) to predict university students' intentions to use metaverse-based learning platforms. Education and Information Technologies, 28, 15381–15413. https://doi.org/10.1007/s10639-023-11816-3

Al-Husseini, N., Banta, J. E., Oh, J., & Montgomery, S. B. (2021). Social media use for health purposes by chronic disease patients in the United States. Saudi Journal of Medicine & Medical Sciences, 9(1), 51–58. https://doi.org/10.4103/sjmms.sjmms_262_20

Alivi, M. A. (2023). Voter's gratification in using online news and the implications on the political landscape in Malaysia. Asian Politics & Policy, 15(4), 623–642.

Alivi, M. A., Ghazali, A. H. A., Tamam, E., & Osman, M. N. (2021). Motives to use online news and the impact on satisfaction with the government and vote choice. Electronic Government, an International Journal, 17(1), 55-74.

Amin, K. H. A. K., & Nazan, A. I. N. M. (2022). Cognitive determinants of health information seeking behavior through social media platforms among Malaysian adults. Malaysian Journal of Medicine & Health Sciences, 18(4), 113-118.

Astari, A. A. E., Yasa, N. N. K., Sukaatmadja, I. P. G., & Giantari, I. G. A. K. (2022). Integration of Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB): An e-wallet behavior with fear of COVID-19 as a moderator variable. International Journal of Data and Network Science, 6(4), 1427-1436. https://doi.org/nhzc

Azudi, N., Hussin, R., & Rahman, S.H.A. (2023). Social media approach to crisis communication during the COVID-19 pandemic: A case study of Saudi Arabia. SEARCH Journal of Media and Communication Research, 15(2), 67–82.

Brony, M., Alivi, M. A., Syed, M. A. M., Dharejo, N., & Jiaqing, X. (2024). A systematic review on social media utilization by health communicators in India: Insights from COVID-19 pandemic. Online Journal of Communication and Media Technologies, 14(4), e202449. https://doi.org/10.30935/ojcmt/15007

Brony, M., Alivi, M. A., Syed, M. A. M., & Dharejo, N. (2024). A systematic review on social media health communications and behavioural development among Indians in the COVID-19 context. Studies in Media and Communication, 12(2), 37–49.

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.

Cho, M. K., & Kim, M. Y. (2023). Factors affecting the sexual behavior of Korean University students. Healthcare, 11(13), 1837. https://doi.org/10.3390/healthcare11131837

Chon, M.-G., & Harrell, J. R. (2024). Building bridges for anti-racism activism: Testing situational problem-solving theory and problem chain recognition effect. Public Relations Review, 50(1), 102425. https://doi.org/10.1016/j.pubrev.2024.102425

Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263-282.

Djuric, P., Stevanovic, A., Rajovic, N., Todorovic, J., & Laaser, U. (2023). Reproductive health of medical students: Exploring knowledge, experiences, and behaviors. South Eastern European Journal of Public Health.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107.

Ghaffari, M., Rakhshanderou, S., Gharlipour, Z., Khalajabadi Farahani, F., Ramezani, T., & Izadkhah, F. (2020). Students' perspective on factors influencing premarital sexual intercourse. Journal of Holistic Nursing and Midwifery, 111-119. https://doi.org/nhzt

Gursoy, E., & Yesildere Saglam, H. (2021). Factors affecting sexual health-seeking behaviors of young people. Journal of Public Health, 30(12), 2899-2910. https://doi.org/nhzf

Hailegebreal, S., Gilano, G., Seboka, B. T., Sidelil, H., Awol, S. M., Haile, Y., Simegn, A. E., & Haile, F. (2022). Prevalence and associated factors of early sexual initiation among female youth in East Africa: Further analysis of recent demographic and health survey. BMC Womens Health, 22(1), 304. https://doi.org/10.1186/s12905-022-01895-8

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed, a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.

Hasanah, U., & Busro, B. (2023). Holdy Your Fingers: The Communication Ethics on WhatsApp Based on the Hadith. Jurnal Komunikasi: Malaysian Journal of Communication, 39(3), 239-254. https://doi.org/10.17576/jkmjc-2023-3903-13

Hassan, S., & Masoud, O. (2020). Online health information seeking and health literacy among non-medical college students: gender differences. Journal of Public Health, 29(6), 1267-1273. https://doi.org/10.1007/s10389-020-01243-w

Henseler, J., & Chin, W. W. (2010). A comparison of approaches for analyzing interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17(1), 82-109.

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.

Hwang, J. (2020). Health information sources and the Influenza vaccination: The mediating roles of perceived vaccine efficacy and safety. Journal of Health Communication, 25(9), 727–735. https://doi.org/10.1080/10810730.2020.1840675

Jones II, V., Kim, S., Mewani, A. H., Jacques, E. T., Ardouin-Guerrier, M. A., Huggins, S., & Basch, C. H. (2022). Immigration status as a determinant of health information-seeking behavior among undergraduates of color at an urban commuter college. Health Promot Perspect, 12(3), 295-300. https://doi.org/10.34172/hpp.2022.38

Kamaruzaman, M. F., & Mohamad, E. (2023). Analisis tingkah laku pencarian maklumat COVID-19 dari perspektif model literasi e-kesihatan transaksional. Jurnal Komunikasi: Malaysian Journal of Communication, 39(4), 183-201. https://doi.org/nhzh

Kim, J.-N., & Grunig, J. E. (2011). Problem solving and communicative action: A situational theory of problem solving. Journal of Communication, 61(1), 120-149.

King, J., Halversen, A., Morrow, O., Westhoff, W., & Brubaker, P. (2023). COVID-19, digital media, and health| Communicating about mental health during a pandemic: An examination of active and aware publics on Twitter. International Journal of Communication, 17(18). https://ijoc.org/index.php/ijoc/article/view/17593

Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford Publications.

Krejcei, R., & Morgan, D. (1970). Determining sample size for research. Educational and Psychological Measurement, 30(3), 607-610. https://doi.org/ggb4r2

Lee, J. Y., & Lee, E. (2022). What topics are women interested in during pregnancy: Exploring the role of social media as informational and emotional support. BMC Pregnancy Childbirth, 22(1), 517. https://doi.org/10.1186/s12884-022-04842-5

Lewis, B. R., Templeton, G. F., & Byrd, T. A. (2017). A methodology for construct development in MIS research. European Journal of Information Systems, 14(4), 388–400. https://doi.org/10.1057/palgrave.ejis.3000552

Lim, H. M., Wong, S. S., Yip, K. C., Chang, F. W. S., Chin, A. J. Z., Teo, C. H., Abdullah, A., & Ng, C. J. (2022). Online health information-seeking behavior of patients attending a primary care clinic in Malaysia: A cross-sectional study. Family Practice, 39(1), 38-45. https://doi.org/10.1093/fampra/cmab099

Lin, C.-W., Lin, Y.-S., Liao, C.-C., Chen, C.-C., & Yang, C.-F. (2021). Utilizing Technology Acceptance Model for Influences of Smartphone Addiction on Behavioural Intention. Mathematical Problems in Engineering, 5592187. https://doi.org/gp6z3n

Loda, T., Erschens, R., Junne, F., Stengel, A., Zipfel, S., & Herrmann-Werner, A. (2020). Undergraduate medical students' search for health information online: Explanatory cross-sectional study. JMIR Med Inform, 8(3), e16279. https://doi.org/10.2196/16279

Lu, L., Liu, J., & Yuan, Y. C. (2020). Health information seeking behaviors and source preferences between Chinese and U.S. Populations. Journal of Health Communication, 25(6), 490-500. https://doi.org/10.1080/10810730.2020.1806414

Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–386.

Mataraarachchi, D., Vithana, P., Lokubalasooriya, A., Jayasundara, C. J., Suranutha, A. S., Pathirana, T. E. A., & De Silva, C. (2023). Knowledge and practices on sexual and reproductive health among youth trainees are attached to youth training centers in Sri Lanka. Contraception and Reproductive Medicine, 8(1), 18. https://doi.org/nhzp

Mokgatle, M. M., Madiba, S., & Cele, L. (2021). A comparative analysis of risky sexual behaviors, self-reported sexually transmitted infections, knowledge of symptoms, and partner notification practices among male and female university students in Pretoria, South Africa. Int J Environ Res Public Health, 18(11), 5660. https://doi.org/gprhff

Mwamba, B., Mayers, P., & Shea, J. (2022). Sexual and reproductive health knowledge of postgraduate students at the University of Cape Town, South Africa. Reproductive Health, 19(1), 225. https://doi.org/10.1186/s12978-022-01507-6

Ndugga, P., Kwagala, B., Wandera, S. O., Kisaakye, P., Mbonye, M. K., & Ngabirano, F. (2023). "If your mother does not teach you, the world will...": A qualitative study of parent-adolescent communication on sexual and reproductive health issues in Border districts of eastern Uganda. BMC Public Health, 23(1), 678. https://doi.org/nhzr

Nikkelen, S. W. C., van Oosten, J. M. F., & van den Borne, M. (2020). Sexuality Education in the Digital Era: Intrinsic and Extrinsic Predictors of Online Sexual Information Seeking Among Youth. The Journal of Sex Research, 57(2), 189-199. https://doi.org/gf8h3t

Niu, Z., Willoughby, J., & Zhou, R. (2021). Associations of health literacy, social media use, and self-efficacy with health information-seeking intentions among social media users in China: Cross-sectional survey. Journal of Medical Internet Research, 23(2), e19134. https://doi.org/10.2196/19134

Olamijuwon, E., Clifford, O., & Adjiwanou, V. (2021). Understanding how young African adults interact with peer-generated sexual health information on Facebook and uncovering strategies for successful organic engagement. BMC Public Health, 21(1), 2153. https://doi.org/10.1186/s12889-021-12165-x

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879- 903.

Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0: An updated guide and practical guide to statistical analysis. Pearson Malaysia Sdn Bhd.

Rivas, R., Sadah, S. A., Guo, Y., & Hristidis, V. (2020). Classification of health-related social media posts: Evaluation of Post Content-Classifier Models and Analysis of User Demographics. JMIR Public Health Surveill, 6(2), e14952. https://doi.org/nhzv

Rosenberg, D., Mano, R., & Mesch, G. S. (2023). Health information seeking on social media: The diversification approach. Equality, Diversity and Inclusion: An International Journal, 42(3), 364-381.

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Homburg, C., Klarmann, M., Vomberg, A. (Eds), Handbook of Market Research (pp. 587-632). Springer. https://doi.org/10.1007/978-3-319-05542-8_15-1

Shafie, S. A., & Hashim, N. (2023). Teori Situasi Publik (STP): Mengungkai isu komunikasi WhatsApp di Malaysia. Jurnal Komunikasi: Malaysian Journal of Communication, 39(4), 445-466. https://doi.org/10.17576/jkmjc-2023-3904-24

Shang, L., Zhou, J., & Zuo, M. (2020). Understanding older adults' intention to share health information on social media: The role of health belief and information processing. Internet Research, 31(1), 100–122. https://doi.org/10.1108/intr-12-2019-0512

Shimie, A. W., Gashu, K. D., Shiferaw, A. M., & Mengiste, S. A. (2022). Information-seeking behavior on sexually transmitted infections and its associated factors among university students in Ethiopia: a cross-sectional study. Reproductive Health, 19(1), 25. https://doi.org/10.1186/s12978-022-01340-x

Sholikah, M. a., & Sutirman, S. (2020). How Technology Acceptance Model TAM) factors of electronic learning influence education service quality through students' satisfaction. TEM Journal, 9(3), 1221-1226. https://doi.org/10.18421/tem93-50

Straub, D., & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 13. https://doi.org/gg2chf

Sundell, E., Wångdahl, J., & Grauman, Å. (2022). Health literacy and digital health information-seeking behavior – A cross-sectional study among highly educated Swedes. BMC Public Health, 22(1), 2278.

Sunkara, J. (2021). Sexual health misinformation and potential interventions among youth on social media. The Cardinal Edge, 1(1), 16. https://doi.org/10.18297/tce/vol1/iss1/16

Suryanto, D., Akbar, A. R. e., Dawami, D., Zur Raffar, I. N. A., & Hamjah, S. H. (2024). The utilization of social media in improving adolescent social interaction with parents. Jurnal Komunikasi: Malaysian Journal of Communication, 40(1), 395-407. https://doi.org/10.17576/jkmjc-2024-4001-22

Syed Mohamad, S. N., Kamaruddin, K. N., Shibraumalisi, N. A., Mohamad, F., Mohd Azlan, S., Dahlan, R., Ismail, I. Z., & Shahar, H. K. (2023). Permissive attitude towards premarital sex among university students in Malaysia - Does childhood abuse play a role? Malaysian Journal of Medicine and Health Sciences, 19(s17), 48-56.

Threats, M., & Bond, K. (2021). HIV information acquisition and use among young black men who have sex with men who use the internet: Mixed methods study. Journal of Medical Internet Research, 23(5), e22986. https://doi.org/10.2196/22986

Toraman, Y., & GeÇİT, B. B. (2023). User Acceptance of metaverse: An analysis for e-commerce in the framework of Technology Acceptance Model (TAM). Sosyoekonomi, 31(55), 85-104. https://doi.org/10.17233/sosyoekonomi.2023.01.05

Uğurlu, M., & Karahan, N. (2022). Sexual health knowledge and influencing factors among health science students at a state university in Turkey. The European Journal of Contraception & Reproductive Health Care, 27(1), 75-82.

Ven, E. P., & Hashim, N. H. (2023). Determinants of contact tracing apps: An adoption study using UTAUT model. Jurnal Komunikasi: Malaysian Journal of Communication, 39(4), 581-596. https://doi.org/10.17576/jkmjc-2023-3904-31

Wang, Y., Li, C., Zhang, J., Yang, M., Zhu, G., Liu, Y., & Cao, J. (2022). Using social media for health education and promotion: A pilot of WeChat-based prize quizzes on China National Malaria Day. Malaria Journal, 21(1), 381. https://doi.org/nhzx

Wang, Y., Wang, S., Wang, J., Wei, J., & Wang, C. (2018). An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance Model. Transportation, 47(1), 397-415. https://doi.org/10.1007/s11116-018-9893-4

Won, J., Hon, L., & Lee, A. R. (2018). Predicting public interest issue campaign participation on social media. The Journal of Public Interest Communications, 2(1), 129-129.

Yang, Y., Adnan, H. M., Alivi, M. A., & Sarmiti, N. Z. (2024). Unveiling the influence of TikTok dependency on university students’ post-COVID-19 health protective behavior. Studies in Media and Communication, 12(1), 390-400.

Yeh, C. J., Li, K. Y., Zahiri, M. A., & Jumaat, N. F. (2022). Awareness of university students towards environmental communication on social media. SEARCH Journal of Media and Communication Research, 123-133.

Yusoff, H. A. M., Hamzah, M. R., Manaf, A. R. A., Ismail, A., Ahmad, Y., Hussin, H., & Huzili, A. I. (2023). Health-related social media use: A systematic review. Advances in Material Science and Manufacturing Engineering, 2544, 050020. https://doi.org/nhzz

Yusoff, H. A. M., Hamzah, M. R., Manaf, A. R. A., Suanda, J., Mutalib, S. A., & Ayub, S. H. (2023). Health-related social media use among youth in Malaysia. Advances in Material Science and Manufacturing Engineering, 2544, 030004. https://doi.org/nhz2

Zhang, D., Zhan, W., Zheng, C., Zhang, J., Huang, A., Hu, S., & Ba-Thein, W. (2021). Online health information-seeking behaviors and skills of Chinese college students. BMC Public Health, 21(1), 736. https://doi.org/10.1186/s12889-021-10801-0

Zhao, J., He, H., X., & Lin, J. (2022). Modeling and simulation of microblog-based public health emergency-associated public opinion communication. Information Processing & Management, 59(2), 102846. https://doi.org/10.1016/j.ipm.2021.102846


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