Dataset Information

Pregnancy and postpartum antidepressant use moderates the effects of sleep on depression.

ABSTRACT: This study examined the course of antidepressant use, sleep quality, and depression severity from pregnancy through 6-month postpartum in women with and without a depressive disorder during pregnancy. Women (N = 215) were interviewed during pregnancy, 1- and 6-month postpartum. Mixed linear models were used to examine the longitudinal course and inter-relationships for the time-varying variables of antidepressant use, subjective sleep quality, and depression severity. Pregnant women with a depressive disorder who did not use antidepressants had more variable depression severity over time with improvements in depression severity by 6-month postpartum. In contrast, the depression severity of their medicated counterparts remained stable and high throughout. Pregnant women without a depressive disorder had worse sleep quality when using antidepressants compared with when they were not. Antidepressant use significantly strengthened the magnitude of the effect of sleep quality on depression severity in women with a depressive disorder during pregnancy. When prenatally depressed women use antidepressants, their sleep disturbance is more highly linked to depression severity than when they do not. Furthermore, antidepressants are not adequately treating the sleep disturbance of these women or their remitted counterparts, leaving both groups vulnerable to significant negative mental and physical health outcomes.

SUBMITTER: Stone KC

PROVIDER: S-EPMC6940595 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Pregnancy and postpartum antidepressant use moderates the effects of sleep on depression.

Stone Kristen C KC Salisbury Amy L AL Miller-Loncar Cynthia L CL Mattera Jennifer A JA Battle Cynthia L CL Johnsen Dawn M DM O'Grady Kevin E KE

Archives of women's mental health 20170509 5

This study examined the course of antidepressant use, sleep quality, and depression severity from pregnancy through 6-month postpartum in women with and without a depressive disorder during pregnancy. Women (N = 215) were interviewed during pregnancy, 1- and 6-month postpartum. Mixed linear models were used to examine the longitudinal course and inter-relationships for the time-varying variables of antidepressant use, subjective sleep quality, and depression severity. Pregnant women with a depre ...[more]

PMID: 28488099

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Project description:IntroductionPostpartum depression (PPD) is a prevalent mental health condition affecting women globally within the first year following childbirth. Substance use during pregnancy has been associated with an increased risk of developing PPD, but the evidence remains inconclusive. This meta-analysis aims to comprehensively assess the effects of different substances on PPD risk, exploring potential modifiers and confounding factors.ObjectivesTo examine the proportion of PPD among substance users during pregnancy, compared to non-users, and investigate the specific risk associated with different substances (tobacco, alcohol, and non-specified substance use/multiple substance use).MethodsA systematic literature search was conducted from inception to November 2022 using the Web of Science database (Clarivate Analytics), incorporating Web of Science Core Collection, the BIOSIS Citation Index, the KCI-Korean Journal Database, MEDLINE®, the Russian Science Citation Index, the SciELO Citation Index, and the Cochrane Central Register of Reviews, and Ovid/PsycINFO databases. Inclusion criteria comprised original studies with pregnant women, using validated depression scales and substance use reporting.ResultsAmong the 26 included studies, encompassing 514,441 women, the pooled prevalence of PPD among substance users during pregnancy was 29% (95% CI 25-33). Meta-analyzes revealed an overall odds ratio (OR) of 3.67 (95% CI 2.31-5.85, p < 0.01) indicating a significantly higher risk of PPD among substance users compared to non-users. Subgroup analyzes demonstrated a higher risk for women with non-specified or multiple substance use (OR 4.67, 95% CI 2.59-8.41; p < 0.01) and tobacco use (OR 4.01, 95% CI 2.23-7.20; p < 0.01). Alcohol use showed a trend toward higher risk that did not reach statistical significance (OR 1.88, 95% CI 1.00-3.55; p = 0.051).ConclusionThis meta-analysis provides evidence of an increased risk of PPD among pregnant substance users, particularly those using multiple substances or tobacco. However, caution is needed in interpreting the association with alcohol use due to its non-significant result.Systematic review registrationThis study protocol was registered at PROSPERO (registration number: CCRD42022375500).

Project description:BackgroundMajor depressive disorder (MDD) is often comorbid with metabolic diseases such as obesity, cardiovascular disease, and type 2 diabetes. A potential link between these disorders is adiponectin, an adipocyte-derived circulating hormone with insulin-sensitizing, anti-inflammatory, and neuroplasticity effects. Reductions in plasma levels of adiponectin have been reported in both humans with depression and in the chronic-defeat mouse model of depression. However, the predictive value of adiponectin for treatment response to depression has not been determined.MethodsWe investigated the potential predictive effect of baseline adiponectin levels in patients who provided plasma and were undergoing one of three pharmacological treatments (escitalopram monotherapy; escitalopram plus bupropion; and venlafaxine plus mirtazapine) in the Combining Medications to Enhance Depression Outcomes clinical trial (n=160). Specifically, we assessed whether adiponectin moderates-that is, differentially predicts-treatment response among the treatment arms. Improvements with treatment were assessed using change in the clinician-rated 30-item Inventory of Depressive Symptomatology (IDS-C) from baseline through week 12. Moderator effects were tested using separate pairwise repeated measures mixed-effects models with a treatment-arm-by-adiponectin interaction.ResultsBaseline adiponectin levels moderated treatment outcome between two combination therapies. Specifically, low adiponectin predicted better response to escitalopram plus bupropion compared to venlafaxine plus mirtazapine, whereas high adiponectin predicted better response to venlafaxine plus mirtazapine compared to escitalopram plus bupropion (F=4.84, p=0.03). Adiponectin levels did not correlate with baseline depression severity (r=-0.03, p=.59).ConclusionsAntidepressant selection for patients with MDD can be personalized using pre-treatment blood-based biomarkers, such as adiponectin, thereby improving treatment outcomes.

Dataset Information

Pregnancy and postpartum antidepressant use moderates the effects of sleep on depression.

Publications

Pregnancy and postpartum antidepressant use moderates the effects of sleep on depression.

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