Volume 47 - Article 1 | Pages 1–36
Background: There is an increasing literature on women’s perception of subfecundity and contraceptive use, with studies showing that women with perceived difficulties conceiving are more likely to have an unintended pregnancy because of a lower reliance on contraception. There is little research investigating the correlates of perceived subfecundity, and quantitative investigation of couple-level perceived subfecundity appears absent from the literature, which is somewhat surprising, as the inability to have a child is a couple-level outcome. Furthermore, most studies that relate to perceived subfecundity and the use of contraception, or lack thereof, are typically limited to young adults.
Objective: The aim of this study is to explore the couple-level correlates of perceived subfecundity and to investigate the relationship between perceived subfecundity and contraceptive use among a nationally representative sample of couples.
Methods: Drawing on data from the Household Income and Labour Dynamics in Australia (HILDA) survey, binary and multinomial logistic regression models are estimated using the couple-dyad as the unit of analysis.
Results: Both biological and life-course interference factors are strong predictors of perceived subfecundity at the couple level, with women’s characteristics more influential than their partner’s characteristics. Additionally, couples in which at least one partner perceives subfecundity are less likely to use contraception, regardless of their short-term intentions or desire to have a child.
Contribution: Men’s and women’s characteristics differently influence the likelihood of perceiving subfecundity at the couple level and the perception of subfecundity is a relevant reason why couples do not use contraception.
- Ester Lazzari - Universität Wien, Austria EMAIL
- Edith Gray - Australian National University, Australia EMAIL
- Bernard Baffour - Australian National University, Australia EMAIL
Other articles by the same author/authors in Demographic Research
Most recent similar articles in Demographic Research
Cited References: 61
Download to Citation Manager