Objective This study assessed attitude and practice item predictors of contraception among female students of Television studies in Nigeria.

Methods This is a secondary analysis of a cross-sectional study among 227 female TV undergraduates in Nigeria; selected through a simple random technique by balloting. Data was analyzed using SPSS V.25 and qualitative data were presented as frequencies and proportions. Predictors of good attitude and practice were determined by multivariable logistic regression. P-value<0.05 was adjudged significant.

Results most (91%) of respondents are aware of contraception. Most (94.9%) of the respondents have had unplanned pregnancies and only 42.1% had ever used contraception. Predictors of good attitude include good knowledge that female sterilization is one way to avoid pregnancy (aOR: 2.439 [95%CI: 1.245, 4.775]; p=0.009); increased risk of breast cancer with those taking OCPs (aOR: 2.188 [95%CI: 1.076, 4.448]; p=0.031); and opportunity for switching in case of side-effect (aOR: 2.113 [95%CI: 1.041, 4.288]; p=0.038). The predictor of good contraceptive practice is a poor perception of the adequacy of the current method being used (aOR: 3.236 [95%CI: 1.455, 7.196]; p=0.004).

Conclusion This study shows that most respondents are aware of contraception. However, they show poor attitudes to contraception. Majority had a history of unplanned pregnancy and few had ever used contraception. There is a need to consolidate CSE in all secondary and tertiary institutions; especially in non-science disciplines to improve the attitude and practice of contraception and ensure reproductive well-being and educational development of the girl-child. There is also the need for community action through community dialogue to improve poor contraceptive attitudes among young women.

The authors have declared no competing interest.

This study did not receive any funding

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Ethical approval was obtained from the Jos University Teaching Hospital Research and Ethics Committee (JUTHH/DCS/IREC/127/XXXI/2619).

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