Back

Exploring Undergraduates' Knowledge, Attitude, and Perception of Infertility in Osun State University: A mixed method study

Adeyemo, S. C.; Awodele, K.; Waliu, A. T.; Fasanu, A. O.; Akinbowale, B. T.; Adeniyi, V. A.; Folami, R.; Akinwale, O. D.; Falade, J.; Olabode, E. D.

2026-04-01 obstetrics and gynecology
10.64898/2026.03.30.26349746 medRxiv
Show abstract

Background Conventionally, infertility has been regarded as primarily a female issue, leading to misconceptions, stigma, and underrepresentation of male infertility in healthcare discussions. This study assessed the knowledge, attitude and perception of Undergraduates towards male infertility in Osun State University. Methods A descriptive cross-sectional design was employed to select 300 undergraduates via multistage sampling. Qualitative data were collected using a focus group discussion guide covering the knowledge, attitude and perception, while quantitative data were collected using a self-administered questionnaire covering socio-demographic characteristics, knowledge, attitude and perception towards male infertility. Qualitative analysis was performed using NVivo software, while IBM SPSS Statistics version 27 was used for the quantitative analysis, with thematic analysis and chi-square tests to determine the association between variables (significance at p < 0.05). Results Respondents were predominantly females (64.0%) with a mean age of 20.99 {+/-} 2.31 years. Overall knowledge was low (47.7%), while more than half had a negative attitude (52.3%). Significant predictors of attitude include faculty (0.049), level (p=0.031), and formal education on male infertility (p=0.007). Conclusion Students demonstrated a poor understanding of male infertility, and their attitudes remain influenced by cultural norms surrounding marriage, masculinity, and gender roles. Hence, the need to foster open dialogues, promote gender-inclusive narratives, and strengthen healthcare support systems.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
BMC Medical Education
20 papers in training set
Top 0.1%
24.7%
2
PLOS ONE
4510 papers in training set
Top 4%
24.7%
3
Cureus
67 papers in training set
Top 0.4%
7.0%
50% of probability mass above
4
PLOS Global Public Health
293 papers in training set
Top 1%
7.0%
5
Frontiers in Public Health
140 papers in training set
Top 2%
3.9%
6
Healthcare
16 papers in training set
Top 0.2%
3.0%
7
Heliyon
146 papers in training set
Top 0.6%
2.9%
8
Scientific Reports
3102 papers in training set
Top 46%
2.6%
9
BMJ Open
554 papers in training set
Top 8%
2.1%
10
Health Expectations
12 papers in training set
Top 0.3%
1.9%
11
BMJ Open Quality
15 papers in training set
Top 0.4%
1.9%
12
Bioscience Reports
25 papers in training set
Top 0.7%
1.3%
13
International Journal of Environmental Research and Public Health
124 papers in training set
Top 5%
1.2%
14
BMJ Global Health
98 papers in training set
Top 2%
1.0%
15
PeerJ
261 papers in training set
Top 11%
1.0%
16
Computational and Structural Biotechnology Journal
216 papers in training set
Top 7%
1.0%
17
Applied Sciences
24 papers in training set
Top 0.7%
0.8%
18
Journal of Clinical Pathology
12 papers in training set
Top 0.4%
0.8%
19
BMC Pregnancy and Childbirth
20 papers in training set
Top 0.6%
0.8%
20
JAMIA Open
37 papers in training set
Top 1%
0.8%
21
Journal of Clinical Medicine
91 papers in training set
Top 8%
0.5%
22
International Journal of Molecular Sciences
453 papers in training set
Top 18%
0.5%