An Approach to Developing a Prediction Model of Fertility Intent Among HIV-Positive Women and Men in Cape Town, South Africa: A Case Study

Bai, Dan; Leu, Cheng-Shiun; Mantell, Joanne E.; Exner, Theresa M.; Cooper, Diane; Hoffman, Susie; Kelvin, Elizabeth A.; Myer, Landon; Constant, Deborah; Moodley, Jennifer

doi:10.1007/s10461-016-1441-7

Cited by 3 publications

(2 citation statements)

References 56 publications

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“…With the advent of and success rates in antiretroviral therapies, many people living with HIV/AIDS seek opportunities to fulfill their desire to become parents. Because of the health impact HIV exposure can have on future generations, researchers make concerted efforts to model the fertility intentions of this population to optimize their health, reduce the risk of vertical transmission to infants, and minimize the burden of unintended pregnancies in this population ( Bai et al, 2017 ). Similar attempts are being used to optimize the preconception health status of couples seeking ART to ensure maximum positive outcomes.…”

Section: Introductionmentioning

confidence: 99%

Men’s Preconception Health and Fertility Intentions: A Latent Class Analysis Approach

et al. 2022

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Men’s pregnancy intention is associated with a host of positive outcomes for families, yet this topic remains understudied. Because unintended pregnancies are more likely to occur at suboptimal parental health, this study aimed to examine the extent to which men improve their preconception health in the context of future fertility planning. This study used pooled data from the 2011–2019 National Survey of Family Growth for a final sample size of 10,223. Latent class analysis (LCA) was used to identify distinct classes of men’s preconception health. Eight preconception health risk factors were used to determine class membership. A classify-analyze approach was used to create the preconception health phenotype ( PhP) exposure variable. The outcome of interest was men’s fertility intentions. Multinomial regression models were used to examine the association between the exposure and the outcome. Three unique PhPs were identified (lowest risk, substance users, and sexual risk-takers) from the LCA model. Men in the substance users’ group (22.9%) were characterized by high-risk alcohol use and drug use, while sexual risk-takers (8.1%) were characterized by having multiple sexual partners. Belonging in the phenotypes of substance users or sexual risk-takers was associated with increased odds for definite no fertility intention than definite yes intentions (adjusted odds ratio [aOR]: 1.47, 95% confidence interval [CI]: [1.18, 1.84] and aOR: 1.51, 95% CI: [1.13, 2.01], respectively). Results provide new insights on how preconception health can be measured and fills a knowledge gap on its relationship to men’s future fertility planning. Findings can be applied to preconception care intervention frameworks, and guide family planning interventions and contraceptive counseling.

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Section: Introductionmentioning

confidence: 99%

Men’s Preconception Health and Fertility Intentions: A Latent Class Analysis Approach

et al. 2022

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“…Even with the available limited empirical studies, the focus has often been on women or couples living with HIV/AIDS (see e.g. Bai et al 2017;Marlow et al 2012;Peltzer et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Child-Timing Desires in a Low Fertility Context: A Cohort Analysis

Ewemooje¹

2020

Proceedings of ‏The 3rd International Conference on Modern Research in Social Sciences

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Globally, there have been significant changes in human reproductive behaviour that have had profound effects on population growth. The outstanding feature of this demographic transition is that it unevenly distributed as its tempo has differed across the globe. Regardless of the magnitude or speed of the decline, two main reasons have been associated with low fertility, namely, changes in the average number of children born to a woman throughout her reproductive period and the timing of this event in the life course. This was the context of the present study as it sought to understand the recent fertility transition in South Africa by understanding the factors that shape the child-timing desires of women who are married or cohabiting. Specifically, the study sought to examine and compare the effects of selected sociodemographic factors on the desired child-timing of two cohorts of reproductive-aged women in South Africa, 15-34 years (younger women) and 35-49 years (older women). The results showed that increased parity, contraceptive use and increased household size significantly predicted desired child-timing for both groups of women. The study also found that belonging to a 'middle' wealth index category, higher education and living in certain parts of the country significantly predicted child-timing desires for younger women but not older women. Implications for policy interventions were discussed.

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Determinants of fertility intentions among women of reproductive age in South Africa: evidence from the 2016 demographic and health survey

2020

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An Approach to Developing a Prediction Model of Fertility Intent Among HIV-Positive Women and Men in Cape Town, South Africa: A Case Study

Cited by 3 publications

References 56 publications

Men’s Preconception Health and Fertility Intentions: A Latent Class Analysis Approach

Men’s Preconception Health and Fertility Intentions: A Latent Class Analysis Approach

Child-Timing Desires in a Low Fertility Context: A Cohort Analysis

Determinants of fertility intentions among women of reproductive age in South Africa: evidence from the 2016 demographic and health survey

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