Aimee R Kroll-Desrosiers1, Sybil L Crawford2, Tiffany A Moore Simas3, Melissa A Clark4, Lori A Bastian5, Kristin M Mattocks6. 1. Department of Population and Quantitative Sciences, University of Massachusetts Medical School, Worcester, Massachusetts. Electronic address: aimee.kroll@umassmed.edu. 2. Graduate School of Nursing, University of Massachusetts Medical School, Worcester, Massachusetts. 3. Department of Population and Quantitative Sciences, University of Massachusetts Medical School, Worcester, Massachusetts; Department of Obstetrics & Gynecology, University of Massachusetts Medical School/UMass Memorial Health Care, Worcester, Massachusetts; Department of Pediatrics, University of Massachusetts Medical School, Worcester, Massachusetts; Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts. 4. Department of Population and Quantitative Sciences, University of Massachusetts Medical School, Worcester, Massachusetts. 5. Division of General Internal Medicine, Yale University School of Medicine, New Haven, Connecticut; Pain Research, Informatics, Multimorbidities, and Education Center, VA Connecticut Healthcare System, West Haven, Connecticut. 6. Department of Population and Quantitative Sciences, University of Massachusetts Medical School, Worcester, Massachusetts; Research and Development, VA Central Western Massachusetts, Leeds, Massachusetts.
Abstract
BACKGROUND: Depression is the most commonly diagnosed medical condition among women veterans ages 18 to 44; however, depression symptoms occurring during pregnancy have not been well-studied in this population. METHODS: Pregnant veterans were recruited from 15 Veterans Health Administration sites across the United States; our sample included 501 participants. Sociodemographic characteristics, military service, health status, and pregnancy related factors, as well as the Edinburgh Postnatal Depression Scale (EPDS), were collected as part of a telephone survey. Additional data were obtained from electronic health record data. We used multivariable logistic regression models to examine factors associated with an EPDS score suggestive of clinically significant depressive symptoms (≥10). FINDINGS: Prenatal EPDS scores of 10 or greater were calculated for 28% of our sample. Our final model indicated that factors associated with decreased odds of an EPDS score of 10 or greater included spousal or partner support during pregnancy (adjusted odds ratio [aOR], 0.35; 95% confidence interval [CI], 0.16-0.77) and employment (aOR, 0.40; 95% CI, 0.24-0.67). A past diagnosis of anxiety (aOR, 2.54; 95% CI, 1.43-4.50), past antidepressant use (aOR, 3.27; 95% CI, 1.71-6.24), and active duty service (aOR, 1.91; 95% CI, 1.08-3.37) were associated with increased odds of having an EPDS score of 10 or greater. CONCLUSIONS: This is the first quantitative estimate of depression symptoms in pregnant veterans across multiple Veterans Affairs facilities. The prevalence of depression symptomology was greater than the high end of prevalence estimates in the general pregnant population. Given that the risk of depression increases during the postpartum period, women who can be identified with depressive symptomatology during pregnancy can be offered critical resources and support before giving birth. Published by Elsevier Inc.
BACKGROUND:Depression is the most commonly diagnosed medical condition among women veterans ages 18 to 44; however, depression symptoms occurring during pregnancy have not been well-studied in this population. METHODS: Pregnant veterans were recruited from 15 Veterans Health Administration sites across the United States; our sample included 501 participants. Sociodemographic characteristics, military service, health status, and pregnancy related factors, as well as the Edinburgh Postnatal Depression Scale (EPDS), were collected as part of a telephone survey. Additional data were obtained from electronic health record data. We used multivariable logistic regression models to examine factors associated with an EPDS score suggestive of clinically significant depressive symptoms (≥10). FINDINGS: Prenatal EPDS scores of 10 or greater were calculated for 28% of our sample. Our final model indicated that factors associated with decreased odds of an EPDS score of 10 or greater included spousal or partner support during pregnancy (adjusted odds ratio [aOR], 0.35; 95% confidence interval [CI], 0.16-0.77) and employment (aOR, 0.40; 95% CI, 0.24-0.67). A past diagnosis of anxiety (aOR, 2.54; 95% CI, 1.43-4.50), past antidepressant use (aOR, 3.27; 95% CI, 1.71-6.24), and active duty service (aOR, 1.91; 95% CI, 1.08-3.37) were associated with increased odds of having an EPDS score of 10 or greater. CONCLUSIONS: This is the first quantitative estimate of depression symptoms in pregnant veterans across multiple Veterans Affairs facilities. The prevalence of depression symptomology was greater than the high end of prevalence estimates in the general pregnant population. Given that the risk of depression increases during the postpartum period, women who can be identified with depressive symptomatology during pregnancy can be offered critical resources and support before giving birth. Published by Elsevier Inc.
Authors: Kate L Sheahan; Karen M Goldstein; Claire T Than; Bevanne Bean-Mayberry; Catherine C Chanfreau; Megan R Gerber; Danielle E Rose; Julian Brunner; Ismelda A Canelo; Jill E Darling Mshs; Sally Haskell; Alison B Hamilton; Elizabeth M Yano Journal: J Gen Intern Med Date: 2022-08-30 Impact factor: 6.473
Authors: Laura J Miller; Sandy Rowlands; Laura Esposito; Margaret Altemus; Jennifer L Strauss Journal: J Gen Intern Med Date: 2022-08-30 Impact factor: 6.473
Authors: Kristin M Mattocks; Aimee Kroll-Desrosiers; Tiffany A Moore Simas; Lori A Bastian; Valerie Marteeny; Lorrie Walker; Kate Sheahan; A Rani Elwy Journal: J Gen Intern Med Date: 2022-08-30 Impact factor: 6.473