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What predicts self-efficacy? Understanding the role of sociodemographic, behavioural and parental factors on condom use self-efficacy among university students in Nigeria

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  • Anthony Idowu Ajayi
  • Emmanuel Olawale Olamijuwon

Abstract

Background: Risky sexual behaviours are not uncommon among young adults particularly those in the higher levels of education. It is known that higher self-efficacy could contribute to better sexual and reproductive health outcomes including the use of condoms. However, there is limited research on the role of socio-demographic, behavioural and parental factors as predictors of condom-use self-efficacy. As a result, this exploratory study was designed to assess the predictors of self-efficacy for condom use among university students in Nigeria Methods: A cross-sectional survey was conducted with 755 university students in Nigeria from February to April 2018. Self-efficacy for condom use was assessed by combining responses to 11-items measures of condom self-efficacy drawn from the work of Barkley and colleagues. We fitted a structural equation model to identify the pathways through which socio-demographic, behavioural and parental factors predict two constructs of condom-use self-efficacy (self-efficacy for condom purchase and use and partner communication self-efficacy) in the sample. Results: Demographic factors such as age (β = -0.29, p

Suggested Citation

  • Anthony Idowu Ajayi & Emmanuel Olawale Olamijuwon, 2019. "What predicts self-efficacy? Understanding the role of sociodemographic, behavioural and parental factors on condom use self-efficacy among university students in Nigeria," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-19, August.
    • Handle: RePEc:plo:pone00:0221804
    DOI: 10.1371/journal.pone.0221804
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    References listed on IDEAS

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    1. Miller, K.S. & Levin, M.L. & Whitaker, D.J. & Xu, X., 1998. "Patterns of condom use among adolescents: The impact of mother- adolescent communication," American Journal of Public Health, American Public Health Association, vol. 88(10), pages 1542-1544.
    2. Norris, Alison H. & Kitali, Amani J. & Worby, Eric, 2009. "Alcohol and transactional sex: How risky is the mix?," Social Science & Medicine, Elsevier, vol. 69(8), pages 1167-1176, October.
    3. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 1-10, March.
    4. Bengt Muthén, 1984. "A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 115-132, March.
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    1. Weizhen Zhan & Zhenwu You, 2024. "Family communication patterns, self-efficacy, and adolescent online prosocial behavior: a moderated mediation model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.

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