Dataset Information

Trajectories of Unintended Fertility.

ABSTRACT: Having an unintended birth is strongly associated with the likelihood of having later unintended births. We use detailed longitudinal data from the Add Health Study (N=8,300) to investigate whether a host of measured sociodemographic, personality, and psychosocial characteristics select women into this "trajectory" of unintended childbearing. While some measured characteristics and aspects of the unfolding life course are related to unintended childbearing, explicitly modeling these effects does not greatly attenuate the association of an unintended birth with a subsequent one. Next, we statistically control for unmeasured time invariant covariates that affect all birth intervals, and again find that the association of an unintended birth with subsequent ones remains strong. This persistent, strong association may be the direct result of experiencing an earlier unplanned birth. We propose several mechanisms that might explain this strong association.

SUBMITTER: Rajan S

PROVIDER: S-EPMC5844575 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Trajectories of Unintended Fertility.

Rajan Sowmya S Morgan S Philip SP Harris Kathleen Mullan KM Guilkey David D Hayford Sarah R SR Guzzo Karen Benjamin KB

Population research and policy review 20170927 6

Having an unintended birth is strongly associated with the likelihood of having later unintended births. We use detailed longitudinal data from the Add Health Study (N=8,300) to investigate whether a host of measured sociodemographic, personality, and psychosocial characteristics select women into this "trajectory" of unintended childbearing. While some measured characteristics and aspects of the unfolding life course are related to unintended childbearing, explicitly modeling these effects does ...[more]

PMID: 29531423

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Project description:ObjectivesAmong youth in Nairobi, we (1) characterised fertility and contraceptive use dynamics by gender; (2) estimated pregnancy prevalence over the pandemic; and (3) assessed factors associated with unintended pandemic pregnancy for young women.DesignLongitudinal analyses use cohort data collected at three timepoints prior to and during the COVID-19 pandemic: June to August 2019 (pre-pandemic), August to October 2020 (12-month follow-up) and April to May 2021 (18-month follow-up).SettingNairobi, Kenya.ParticipantsAt initial cohort recruitment, eligible youth were aged 15-24 years, unmarried and residing in Nairobi for at least 1 year. Within-timepoint analyses were restricted to participants with survey data per round; trend and prospective analyses were restricted to those with complete data at all three timepoints (n=586 young men, n=589 young women).Primary and secondary outcome measuresPrimary outcomes comprised fertility and contraceptive use for both genders, and pregnancy for young women. Unintended pandemic pregnancy (assessed at 18-month follow-up) was defined as a current or past 6-month pregnancy with intent to delay pregnancy for more than 1 year at 2020 survey.ResultsWhile fertility intentions remained stable, contraceptive dynamics varied by gender-young men both adopted and discontinued coital-dependent methods, whereas young women adopted coital-dependent or short-acting methods at 12-month follow-up (2020). Current pregnancy was highest at 2020 (4.8%), and approximately 2% at 2019 and 2021. Unintended pandemic pregnancy prevalence was 6.1%, with increased odds for young women recently married (adjusted OR (aOR)=3.79; 95% confidence interval (CI) 1.83-7.86); recent contraceptive use was protective against unintended pandemic pregnancy (aOR=0.23; 95% CI 0.11-0.47).ConclusionsCurrent pregnancy in Nairobi was highest at the height of the COVID-19 pandemic (2020), and subsided to pre-pandemic levels by 2021 data collection; however, requires further monitoring. New marriages posed considerable risk for unintended pandemic pregnancy. Contraceptive use remains a crucial preventive strategy to averting unintended pregnancy, particularly for married young women.

Dataset Information

Trajectories of Unintended Fertility.

Publications

Trajectories of Unintended Fertility.

Similar Datasets

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