3204.0: Monday, November 13, 2000 - 5:30 PM

Abstract #15631

Using a perinatal data system to derive prenatal factors associated with smoking during pregnancy

Martha A. Wojtowycz, PhD1, Richard H. Aubry, MD, MPH1, and Timothy D. Dye, PhD2. (1) Institute for Maternal and Child Health, SUNY Upstate Medical University, 60 Presidential Plaza, Madison Towers, Suite 204, Syracuse, NY 13202, (315) 464-5706, wojtowym@mail.upstate.edu, (2) Division of Public Health Practice, University of Rochester, 601 Elmwood Avenue, Box 324, Rochester, NY 14642

Purpose: The purpose of this presentation is to describe how a population-based perinatal data system can be utilized to analyze prenatal factors associated with smoking during pregnancy.

Data and Methods: Data are from the 1998 and 1999 Central New York Regional Perinatal Data System (RPDS), N=39,452. The RPDS is a population-based birth registry, which captures information throughout the 15 county Central New York region. This timely database uses as its foundation the New York State Electronic Birth Certificiate, and collects additional information on selected variables such as breastfeeding, stress, and intentions of pregnancy. In this study, bivariate analyses compare smoking during pregnancy by intent to breastfeed, intentions of pregnancy, stress, timing of entry into prenatal care, clinic and private prenatal care settings, and maternal demographic and socioeconomic characteristics. Multivariate regression analyses are then used to study the association between smoking and intent to breastfeed, stress, and intentions of pregnancy, controlling for prenatal care and maternal factors.

Policy Implications: The association between smoking during pregnancy and breastfeeding, as well as stress and intentions of pregnancy may shed light on interventions that could be utilized to reduce smoking during pregnancy. Interventions aimed at reducing stress or unintended pregnancy may want to include a smoking reduction component. Smoking reduction interventions may want to take into account psychosocial issues, such as stress or unintended pregnancy.

Learning Objectives: At the conclusion of this session, the participant (learner) will be able to: 1. Describe what is meant by a population-based Perinatal Data System 2. Recognize five Maternal and Child Health (MCH) indicators captured by a Perinatal Data System 3. Analyze prenatal factors associated with smoking during pregnancy, using a Perinatal Data System

Keywords: Smoking, Maternal Health

Presenting author's disclosure statement:
Organization/institution whose products or services will be discussed: None
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.

The 128th Annual Meeting of APHA