Postpartum Depression and Help-Seeking Behavior

The objective of this analysis was to investigate the demographic differences between women who report postpartum depression symptoms (PPDS) and seek help versus those who report symptoms but who do not seek help, using data from the Utah Pregnancy Risk Assessment Monitoring System (PRAMS) 2004 data...

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Published inJournal of midwifery & women's health Vol. 54; no. 1; pp. 50 - 56
Main Authors McGarry, Joanne, Kim, Han, Sheng, Xiaoming, Egger, Marlene, Baksh, Laurie
Format Journal Article
LanguageEnglish
Published Oxford, UK Elsevier Inc 01.01.2009
Blackwell Publishing Ltd
Wiley Subscription Services, Inc
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Summary:The objective of this analysis was to investigate the demographic differences between women who report postpartum depression symptoms (PPDS) and seek help versus those who report symptoms but who do not seek help, using data from the Utah Pregnancy Risk Assessment Monitoring System (PRAMS) 2004 dataset. Overall, 14.7% of Utah women reported experiencing PPDS in 2004. Sixty percent of the women who reported having PPDS did not seek help. Seeking help for depression during pregnancy was associated with help-seeking behavior postpartum (adjusted odds ratio [aOR] = 0.1; 95% confidence interval [CI], 0.04–0.2). Other factors associated with seeking help included having an infant admitted to the intensive care unit (aOR = 0.4; 95% CI, 0.2–0.9) and rural residency (aOR = 0.3; 95% CI, 0.2–0.7). Nonwhite women were 12.1 times (95% CI, 3.0–48.5) more likely to not seek help for depression compared to white women. Further, Hispanic women (aOR = 3.2; 95% CI, 1.3–8.1) and women who experienced emotional abuse had increased odds of not seeking help (aOR = 2.9; 95% CI, 1.3–6.2). Nearly 15% of Utah women in this study reported PPDS, yet fewer than half sought help. Target populations, such as nonwhite, Hispanic, emotionally abused, and urban women, have been identified for public health interventions.
Bibliography:ark:/67375/WNG-CWKR50RX-V
ArticleID:JMWH4864
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Marlene J. Egger, PhD, is a professor in the Department of Family and Preventive Medicine and adjunct professor of Biomedical Informatics at the University of Utah, Salt Lake City, UT. Dr. Egger received her BA from Knox College in Galesburg, IL, and an MS and PhD in Statistics from Stanford University, Palo Alto, CA. She received additional training in health services research and maternal and child health.
Xiaoming Sheng, PhD, is an assistant professor in the Department of Family and Preventive Medicine at the University of Utah, Salt Lake City, UT. Dr. Sheng received his PhD in Statistics from the University of Alberta, Edmonton, Alberta, Canada.
Joanne McGarry, MSPH, is the project coordinator for the Utah Pregnancy Risk Assessment Monitoring System at the Utah Department of Health, She received her MSPH from the University of Utah, Salt Lake City, UT.
Laurie Baksh, MPH, is the data manager for the Utah Pregnancy Risk Assessment Monitoring System at the Utah Department of Health. Laurie Baksh received her MPH from the University of Utah, Salt Lake City, UT.
Han S. Kim, PhD, MSPH, is an assistant professor in the Public Health Program at Westminster College, Salt Lake City, UT. Dr. Kim received his MSPH from the University of Utah and his PhD in Epidemiology from the University of Washington, Seattle, WA.
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ISSN:1526-9523
1542-2011
DOI:10.1016/j.jmwh.2008.07.003