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Author: Hebert, Luciana
Resulting in 1 citation.
1. Sipsma, Heather L.
Hebert, Luciana
Predicting Teenage Birth: A Latent Class Analysis
Presented: Washington DC, Population Association of America Annual Meeting, March-April 2016
Cohort(s): NLSY97
Publisher: Population Association of America
Keyword(s): Adolescent Fertility; Modeling, Latent Class Analysis/Latent Transition Analysis

Permission to reprint the abstract has not been received from the publisher.

Rates of teenage births in the United States remain one of the highest among industrialized nations. Traditionally, regression modeling is used to determine risk factors, but this approach assumes each factor is independent from one another. As this scenario is often unrealistic, latent class analysis may confer additional value for identifying teenagers at risk for births under age 20. The current study uses secondary data from the National Longitudinal Survey of Youth 1997. Analyses indicated the presence of 8 latent classes, which varied significantly across class indicators. Our unadjusted Cox proportional hazards model suggests class significantly predicts age at first birth under 20 years old (p<0.001). Furthermore, class membership remained significant after adjusting for the independent effects of the indicators used to construct the latent classes. Public health and health care practitioners should consider the clustering of effects as this approach confers important value for understanding risk of teenage births.
Bibliography Citation
Sipsma, Heather L. and Luciana Hebert. "Predicting Teenage Birth: A Latent Class Analysis." Presented: Washington DC, Population Association of America Annual Meeting, March-April 2016.