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Original Article Open Access

Predictors of Social Media Use for Reproductive Health Seeking Behaviour among Students of Tertiary Institutions in Bauchi State, Nigeria

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Annals of Medicine and Medical SciencesVol. 05, No. 10, (2026) October 6, 2026pp. 2388 - 2391

Abstract

Background: Social media (SM) has emerged as a dominant communication platform. It encompasses interactive tools like social networking sites, blogs, and content-sharing platforms that allow user-generated content, distinguishing it from traditional media. This shift from a monologue to a dialogue-based model of information exchange presents new opportunities for health communication. Objective: To assess the predictors, knowledge and strategies associated with the use of social media (SM) for accessing reproductive health (RH) information among tertiary institution students in Bauchi State, Nigeria. Methods: A descriptive cross-sectional study was conducted among 407 respondents. Data was Analysed using SPSS version 20.0, chi-square tests and logistic regression was used to identify predictors of SM use for RH information-seeking. Results: The mean age of respondents was 23.60 ± 4.90 years, majority were male (64.1%). About 83.2% had good knowledge of using SM for RH information. Common RH topics sought included sex education (33.0%), abstinence from premarital sex (24.5%), and prevention of sexually transmitted infections (40.1%). Key barriers were poor internet connection (39.5%) and high cost (37.2%). The primary suggested strategy for enhancement was improved SM connection (45.4%). Logistic regression identified age group (AOR=5.47, 95% CI: 2.10-14.21) and type of institution (AOR=8.80, 95% CI: 2.00-38.73) as significant predictors of SM use for RH seeking behaviour. Conclusion: Social media is a significant source of RH information for students. To maximize its potentials institutions should integrate digital literacy and SM-based RH education into their program.

Keywords

Social media Reproductive Health Bauchi.

Introduction

Social media (SM) has evolved into a dominant communication platform, particularly among young people under the age of 45 [1]. It encompasses interactive tools like social networking sites, blogs, and content-sharing platforms that allow user-generated content, distinguishing it from traditional media [1]. This shift from a monologue to a dialogue-based model of information exchange presents new opportunities for health communication, including the potential for health professionals to disseminate information and for peers to offer support [2].

The means of seeking and sharing health information have transformed significantly [2]. For sexual and reproductive health (SRH), a critical area for adolescents and young adults, SM offers anonymity and ease of access, which can be advantageous for discussing sensitive topics often stigmatized in traditional settings [3][4]. Young people globally bear a high burden of SRH challenges, including HIV/AIDS, other sexually transmitted infections (STIs), and unplanned pregnancies [5][6]. In many settings, including Nigeria, formal SRH education in institutions remains limited or censored [7], potentially driving youth to seek information from alternative sources like SM.

However, the use of SM for health information is not without risks. The lack of regulation can lead to misinformation, and excessive or unguided use may have negative consequences [8]. In Nigeria, with high internet and mobile phone penetration among youth, the link between SM and SRH behaviour is pronounced [9].

While existing studies have explored SM use broadly, there is a paucity of context-specific research on its role in SRH information-seeking among tertiary students in Northern Nigeria. This study, therefore, aimed to investigate the predictors, patterns, barriers, and facilitators of SM use for SRH information among tertiary institution students in Bauchi State, Nigeria.

Methods

Study Design and Area

A descriptive cross-sectional study was conducted in Bauchi State, North-East Nigeria. The state hosts several federal, state, and private tertiary institutions. The study sites included Abubakar Tafawa Balewa University (ATBU), Bauchi State University Gadau (BASUG), Federal Polytechnic Bauchi, Abubakar Tatari Ali Polytechnic, and the College of Education, Kangare.

Study Population and Sampling

The study population comprised students of the selected tertiary institutions. Students who were too sick or absent during data collection were excluded. The minimum sample size was calculated as 384 using the formula for single proportions, with a 52% awareness rate from a previous study [10], a 95% confidence level, and a 5% margin of error. After adding 10% for non-response, a sample size of 423 was used.

A multistage sampling technique was employed. Four institutions (25% of 16) were purposively selected. From each, 25% of faculties were selected, followed by 25% of departments within those faculties. Finally, respondents were selected from the sampled departments using systematic random sampling.

Data Collection and Instrument

Quantitative data were collected using a pre-tested, semi-structured, self-administered questionnaire adapted from previous studies [10]. The questionnaire covered five sections: (A) socio-demographic characteristics, (B) knowledge of SM as an SRH source, (C) use of SM for SRH information, (D) SM as a source of SRH-seeking behaviour, and (E) the relationship between SM use and SRH-seeking behaviour.

Data Management and Analysis

Data were cleaned, entered into Microsoft Excel, and analyzed using IBM SPSS version 20.0 Descriptive statistics were presented using frequencies and percentages. Knowledge was scored on a 10-point scale and categorized as good (6-10) or poor (0-5). The Chi-square test was used to determine associations between variables, with statistical significance set at p ≤ 0.05. Variables significant at p ≤ 0.10 in bivariate analysis were entered into a binary logistic regression model to identify independent predictors.

Ethical Considerations

Ethical approval was obtained from the Bauchi State Research Ethical Committee. Permission was also sought from the heads of the respective institutions. Written informed consent was obtained from all participants, and confidentiality was maintained throughout the study.

Results

Socio-demographic Characteristics

A total of 407 valid responses were retrieved from 423 distributed questionnaires, giving a 96.2% response rate. The mean age was 23.60 ± 4.90 years, with 68.3% aged 15-24 years. There were more males (64.1%) than females (35.9%). Most respondents were from universities (46.4%), followed by polytechnics (35.6%). The largest departmental representation was from Engineering (35.6%), and the majority were undergraduate students (41.3%) (Table 1).

Table 1 Socio-demographic Characteristics of the Respondents
Variables Frequency Percentage
Age Group (years)
15 – 24 278 68.3
25 – 34 113 27.8
35 – 44 14 3.4
45 – 54 2 0.5
Sex
Male 261 64.1
Female 146 35.9
Type of Institution
University 189 46.4
Polytechnic 145 35.6
College of Education 73 18.0
Department
Engineering 145 35.6
Economics 91 22.4
English/Social Studies 73 17.9
Vocational Training Ed. 56 13.8
Biological Sciences 42 10.3
Programme
Undergraduate 168 41.3
ND 82 20.1
HND 63 15.5
NCE 46 11.3
Certificate 27 6.6
Postgraduate 21 5.2

Knowledge of Social Media for SRH Information

Most respondents (83.2%) had good knowledge of using SM for RH information. The primary RH topics sought via SM were: methods to avoid STIs (40.1%), general sex education (33.0%), abstinence from premarital sex (24.5%), and avoidance of sexual abuse (25.1%). The main reasons for preferring SM were its perceived wealth of information (37.8%) and the privacy it offers (28.9%).

Table 2 Knowledge and Use of Social Media for RH Information
Variables Frequency Percentage
Knowledge Level
Good (6–10) 339 83.2
Poor (0–5) 68 16.8
Indicate the RHI you have looked up or would enquire on social media:
How to abstain from premarital sex?
Yes 83 24.5
No 256 75.5
How to avoid contracting STDs?
Yes 136 40.1
No 203 59.9
How to identify signs of STI?
Yes 95 28.0
No 244 72.0
Health effects of female circumcision?
Yes 49 14.5
No 290 85.5
Different methods of pregnancy prevention?
Yes 72 21.2
No 267 78.8
Sexual abuse:
Yes 85 25.1
No 254 74.9
How to maintain sexual hygiene:
Yes 82 24.2
No 257 75.8
General sex education?
Yes 112 33.0
No 227 67.0
Pornography display?
Yes 27 8.0
No 312 92.0

Barriers and Strategies Related to SM Use for RH

The most frequently cited barriers to using SM for RH information were poor internet connection (39.5%) and the high cost of data/devices (37.2%) (Table 3).

Table 3 Barriers to Using Social Media for RH Information
Barriers Frequency Percentage
Poor social media connection 134 39.5
High cost of access tools 126 37.2
Parental restrictions 88 26.0
Limited device access 83 24.5
Ignorance of good SM sites 43 12.7
Ignorance of RH-seeking behaviour 42 12.4
Poor typing/search skills 28 8.3

Correspondingly, the top suggested strategies to enhance use were improved internet connection (45.4%) and reduced access costs (29.5%) (Table 4).

Table 4 Suggested Strategies to Enhance SM Use for RH Information
Strategies Frequency Percentage
Improved SM connection 154 45.4
Acquisition of info literacy skills 103 30.4
Reduction in SM access cost 100 29.5
Improved SM search skills 89 26.3
Ownership of personal device 85 25.1
Enhanced computer skills 83 24.5
Less parental restriction 76 22.4

Predictors of SM Use for SRH Seeking Behaviour

Bivariate analysis showed significant associations (p<0.05) between SM use for SRH seeking behaviour and age group, type of institution, department, and type of programme (Table 4). After logistic regression analysis, age group and type of institution remained significant independent predictors.

Respondents in the younger age groups (15-24) were 5.5 times more likely to use SM for SRH information compared to older groups (Adjusted Odds Ratio, AOR=5.47, 95% CI: 2.10-14.21). University students were 8.8 times more likely to use SM for this purpose compared to their counterparts in other institutions (AOR=8.80, 95% CI: 2.00-38.73) (Table 5).

Table 5 Predictors in determining SRH seeking behaviour
Variables P-value Adjusted Odd Ratio 95% CI for Adjusted Odd Ratio
Lower Upper
Age group 0.000 5.467 2.103 14.213
Type of Institution 0.004 8.804 2.001 38.731
Department 0.099 0.726 0.496 1.062
Type of programme 0.813 0.919 0.457 1.850

Discussion

This study found that SM is a widely used and recognized source of RH information among tertiary students in Bauchi State, with over 80% demonstrating good knowledge of its use for this purpose. This high awareness aligns with the global trend of youth engagement with digital platforms [3][11]. The preference for SM was driven by its informational breadth and privacy, underscoring its value as a confidential space for addressing sensitive SRH topics often avoided in face-to-face interactions due to cultural stigma [4][12].

The SRH topics sought—STI prevention, sex education, and abstinence—reflect the core concerns of this demographic. However, the lower reporting for topics like the health effects of female circumcision (14.5%) may indicate cultural sensitivities or a gap in available content [13]. The significant use of SM for "general sex education" may also serve as an umbrella term for those reluctant to specify precise needs, a behaviour noted in settings where adolescent sexuality is problematized [12].

Key barriers were infrastructural: poor internet connectivity and high access costs. This highlights a critical digital divide that limits the potential of SM as a health tool in this region, consistent with challenges noted in other low-resource settings [14]. The suggested strategies centred on mitigating these same barriers, emphasizing that improving physical and financial access is paramount.

The study identified younger age and being a university student as strong predictors of SM use for SRH information. The age finding is consistent with global patterns of digital adoption [1][3]. The institutional effect may be related to differences in curriculum exposure, peer networks, or access to resources between university and non-university tertiary students.

A notable limitation was the hesitancy of some respondents, particularly females, to answer sensitive questions, potentially leading to social desirability bias. The cross-sectional design also limits causal inference. Furthermore, the findings are specific to Bauchi State and may not be generalizable to all Nigerian tertiary students.

Conclusion

Social media serves as a major, valued resource for RH information among tertiary students in Bauchi State, Nigeria. Its use is predicted by younger age and enrolment in a university. However, its effectiveness is hampered primarily by poor internet connectivity and the high cost of access.

Recommendations

  1. Tertiary institutions and policymakers should collaborate with telecommunication companies to improve internet infrastructure on campuses and explore subsidized data plans for students.

  2. Institutions should integrate comprehensive digital and health literacy training into orientation or general studies programs to enhance students' skills in finding and evaluating online RH information.

  3. Health promotion units within institutions should establish confidential, SM-based counselling services (e.g., via dedicated WhatsApp lines or Telegram bots) to provide accurate SRH information and referrals.

  4. SRH educational programs on campus should be expanded to cover crucial topics like STI prevention, sexual hygiene, consent, and gender-based violence, complementing the information students seek online.

  5. Future research should employ qualitative methods to gain deeper insights into the motivations, perceptions, and quality of information obtained through SM by this population.

Declarations

Ethics approval and consent to participate

Ethical approval was obtained from the Bauchi State Research Ethical Committee. Permission was also obtained from the heads of the respective institutions. Written informed consent was obtained from all participants, and confidentiality was maintained throughout the study.

Consent for publication

Written informed consent for publication was obtained from all participants.

Conflict of Interests

None

Funding Statement

None

Authors' Contribution

All authors have made an equal contribution.

Acknowledgments

None

References

  1. Wolf M, Sims J. Social media? What social media? 2018 [cited 2023 Oct 15]. Available from: https://www.techtarget.com/ Google Scholar ↗
  2. Pálsdóttir Á. Preferences in the use of social media for seeking and communicating health and lifestyle information. Inf Res. 2014;19(4):paper 639. Google Scholar ↗
  3. Simon L, Daneback K. Adolescents' use of the internet for sex education: a thematic and critical review of the literature. Int J Sex Health. 2013;25(4):305-319. Google Scholar ↗
  4. Borzekowski DLG, Fobil J, Asante KO. Online access by adolescents in Accra: Ghanaian teens' use of the internet for health information. Dev Psychol. 2006;42(3):450-458. Google Scholar ↗
  5. United Nations Population Fund (UNFPA). Delivering sexual and reproductive health services to young people: key lessons from Marie Stopes International's programmes. New York: United Nations Population Fund; 2013. Google Scholar ↗
  6. Decker M, Berglas N, Brindis C. A call to action: developing and strengthening new strategies to promote adolescent sexual health. Societies. 2015;5(4):686-712. Google Scholar ↗
  7. Grundy J, Annear P. Health-seeking behaviour and student access to healthcare: a study of University of Melbourne students. Melbourne: Nossal Institute for Global Health; 2010. Google Scholar ↗
  8. Asemah ES, Okpanachi RA, Edegoh LON. Influence of social media on the academic performance of the undergraduate students of Kogi State University, Anyigba, Nigeria. Res Humanit Soc Sci. 2013;3(12):90-97. Google Scholar ↗
  9. Ekpenyong AS, Turnwait MO. Social media and sexual reproductive health behaviour among adolescents in Bayelsa State, Nigeria. Am Int J Res Humanit Arts Soc Sci. 2016;14(2):94-98. Google Scholar ↗
  10. Aderemi TJ. HIV/AIDS knowledge, attitudes and sexual practices among intellectually impaired and mainstream learners in selected schools in Oyo State, Nigeria [dissertation]. Ibadan: University of Ibadan; 2011. Google Scholar ↗
  11. Aginam E. 84% of smartphones in Nigeria have internet connection: Ericsson study. Vanguard Newspaper. 2015 Apr 30. Google Scholar ↗
  12. Chisolm DJ, Johnson LD, McAlearney AS. What makes teens start using and keep using health information websites? A mixed model analysis of teens with chronic illnesses. J Telemed Telecare. 2011;17(7):324-328. Google Scholar ↗
  13. Kyilleh JM, Tabong PTN, Konlaan BB. Adolescents' reproductive health knowledge, choices and factors affecting reproductive health choices: a qualitative study in the West Gonja District in Northern region, Ghana. BMC Int Health Hum Rights. 2018;18(1):6. Google Scholar ↗
  14. Ibegbulam IJ, Akpom CC, Enem FN, Onyam DI. Use of the Internet as a source for reproductive health information seeking among adolescent girls in secondary schools in Enugu, Nigeria. Health Info Libr J. 2018;35(4):298-308. Google Scholar ↗