Katherine W Reeves1, Olivia I Okereke2,3,4, Jing Qian5, Shelley S Tworoger2,3, Megan S Rice2, Susan E Hankinson5,2. 1. Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 411 Arnold House, 715 North Pleasant Street, Amherst, MA, 01003, USA. kwreeves@schoolph.umass.edu. 2. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA. 3. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. 4. Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA. 5. Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 411 Arnold House, 715 North Pleasant Street, Amherst, MA, 01003, USA.
Abstract
PURPOSE: To determine whether antidepressants (AD), specifically selective serotonin reuptake inhibitors (SSRIs), are linked to elevated prolactin levels among the general population. METHODS: Circulating prolactin levels were available for 4593 healthy participants in the Nurses' Health Study (NHS) and NHS2, including 267 AD users. We fit generalized linear models to calculate and compare adjusted mean prolactin levels between AD users and non-users and further among SSRI users. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) for "elevated" prolactin levels (>11 ng/mL) comparing AD users to non-users. We evaluated AD use and change in prolactin levels among 610 NHS participants with two measurements an average of 11 years apart. RESULTS: Adjusted geometric mean prolactin levels were similar among SSRI users (13.2 ng/mL, 95 % CI 12.2-14.4), users of other classes of ADs (12.7 ng/mL, 95 % CI 11.0-14.6), and non-users (13.1 ng/mL, 95 % CI 12.8-13.4). Neither AD use (OR 1.17, 95 % CI 0.89-1.53) nor SSRI use (OR 0.95, 95 % CI 0.66-1.38) was associated with elevated prolactin levels. Change in prolactin levels was similar across women who started, stopped, consistently used, or never used ADs. CONCLUSIONS: This study does not support the hypothesis that AD use would influence breast cancer risk via altered prolactin levels. These results provide some evidence that use of ADs to treat depression or other conditions may not substantially increase prolactin levels in the majority of women.
PURPOSE: To determine whether antidepressants (AD), specifically selective serotonin reuptake inhibitors (SSRIs), are linked to elevated prolactin levels among the general population. METHODS: Circulating prolactin levels were available for 4593 healthy participants in the Nurses' Health Study (NHS) and NHS2, including 267 AD users. We fit generalized linear models to calculate and compare adjusted mean prolactin levels between AD users and non-users and further among SSRI users. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) for "elevated" prolactin levels (>11 ng/mL) comparing AD users to non-users. We evaluated AD use and change in prolactin levels among 610 NHSparticipants with two measurements an average of 11 years apart. RESULTS: Adjusted geometric mean prolactin levels were similar among SSRI users (13.2 ng/mL, 95 % CI 12.2-14.4), users of other classes of ADs (12.7 ng/mL, 95 % CI 11.0-14.6), and non-users (13.1 ng/mL, 95 % CI 12.8-13.4). Neither AD use (OR 1.17, 95 % CI 0.89-1.53) nor SSRI use (OR 0.95, 95 % CI 0.66-1.38) was associated with elevated prolactin levels. Change in prolactin levels was similar across women who started, stopped, consistently used, or never used ADs. CONCLUSIONS: This study does not support the hypothesis that AD use would influence breast cancer risk via altered prolactin levels. These results provide some evidence that use of ADs to treat depression or other conditions may not substantially increase prolactin levels in the majority of women.
Entities:
Keywords:
Antidepressants; Prolactin; Selective serotonin reuptake inhibitors; Women
Authors: J A Balsa; F Sánchez-Franco; F Pazos; J I Lara; M J Lorenzo; G Maldonado; L Cacicedo Journal: Neuroendocrinology Date: 1998-11 Impact factor: 4.914
Authors: Shelley S Tworoger; A Heather Eliassen; Bernard Rosner; Patrick Sluss; Susan E Hankinson Journal: Cancer Res Date: 2004-09-15 Impact factor: 12.701
Authors: Katherine W Reeves; Olivia I Okereke; Jing Qian; Rulla M Tamimi; A Heather Eliassen; Susan E Hankinson Journal: Cancer Epidemiol Biomarkers Prev Date: 2017-12-20 Impact factor: 4.254