Literature DB >> 19105688

Exploring health by reproductive status: an epidemiological analysis of preconception health.

Pamela K Xaverius1, Leigh E Tenkku, Joanne Salas, Daniel Morris.   

Abstract

BACKGROUND: Recently published preconception health guidelines promote maternal health, yet adherence to those guidelines has not been documented. We hypothesized that pregnant women engaged in a healthier lifestyle than nonpregnant women, although this may vary by pregnancy intention and birth control method.
METHODS: We performed secondary analysis of cross-sectional data from the Behavioral Risk Factor Surveillance System (BRFSS) (2002 and 2004 datasets). The data are collected in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam through a telephone survey of 350,000 adults annually. Subjects were a representative sample of noninstitutionalized, 18-44-year-old, fertile women (n = 66,152). Based on pregnancy risk, women were grouped into one of five categories: pregnant, intending pregnancy (IP), unintended pregnancy high risk (HR), moderate risk (MR), and low risk (LR). Logistic regression was used to estimate adjusted prevalence odds ratios (aPOR) and 95% confidence intervals (CI) for behavioral characteristics using pregnant women as the referent group.
RESULTS: IP, HR, MR, and LR women were more likely to drink any alcohol (aPOR 10.85, aPOR 8.39, aPOR 11.90, aPOR 11.98, respectively), binge drink (aPOR 7.07, aPOR 6.24, aPOR 7.27, aPOR 7.17, respectively), heavy drink (aPOR 6.90, aPOR 5.67, aPOR 7.48, aPOR 5.89, respectively), and smoke (aPOR 2.89, aPOR 2.69, aPOR 2.40, aPOR 2.09, respectively). Interestingly, IP, HR, MR, and LR women were more likely to engage in leisure activity (aPOR 1.37, aPOR 1.19, aPOR 1.57, aPOR 1.17, respectively). HR, MR, and LR women were less likely to consume folic acid (aPOR 0.14, aPOR 0.21, aPOR 0.29, respectively), whereas women intending a pregnancy were equally likely to consume folic acid (aPOR 0.77 CI 0.30, 2.0), although the response rate for folic acid was low.
CONCLUSIONS: Preconceptional health goals are not being met. Pregnancy risk, as delineated by contraceptive use, can inform interventions designed to prevent adversely exposed pregnancies.

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Year:  2009        PMID: 19105688     DOI: 10.1089/jwh.2007.0629

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  7 in total

1.  The relationship between pregnancy intention and preconception health behaviors.

Authors:  Cynthia H Chuang; Marianne M Hillemeier; Anne-Marie Dyer; Carol S Weisman
Journal:  Prev Med       Date:  2011-04-22       Impact factor: 4.018

Review 2.  An evidence-based guideline for unintended pregnancy prevention.

Authors:  Diana Taylor; Evelyn Angel James
Journal:  J Obstet Gynecol Neonatal Nurs       Date:  2011-11-03

3.  A prospective study of prevalence and predictors of concurrent alcohol and tobacco use during pregnancy.

Authors:  Jennifer R Powers; Liane J McDermott; Deborah J Loxton; Catherine L Chojenta
Journal:  Matern Child Health J       Date:  2013-01

4.  Socioeconomic Status, Alcohol Use, and Pregnancy Intention in a National Sample of Women.

Authors:  Leigh E Tenkku Lepper; Angela Lluka; Allese Mayer; Niral Patel; Joanne Salas; Pamela K Xaverius; Brittney Kramer
Journal:  Prev Sci       Date:  2016-01

5.  Why do women invest in pre-pregnancy health and care? A qualitative investigation with women attending maternity services.

Authors:  Geraldine Barrett; Jill Shawe; Beth Howden; Dilisha Patel; Obiamaka Ojukwu; Pranav Pandya; Judith Stephenson
Journal:  BMC Pregnancy Childbirth       Date:  2015-10-02       Impact factor: 3.007

6.  Assessment of Pre-Pregnancy Dietary Intake with a Food Frequency Questionnaire in Alberta Women.

Authors:  Stephanie M Ramage; Linda J McCargar; Casey Berglund; Vicki Harber; Rhonda C Bell
Journal:  Nutrients       Date:  2015-07-27       Impact factor: 5.717

7.  How do women prepare for pregnancy? Preconception experiences of women attending antenatal services and views of health professionals.

Authors:  Judith Stephenson; Dilisha Patel; Geraldine Barrett; Beth Howden; Andrew Copas; Obiamaka Ojukwu; Pranav Pandya; Jill Shawe
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

  7 in total

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