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Predictors of spontaneous remission and recovery among women with untreated perinatal depression in India and Pakistan

Fuhr, D. C. and Sikander, S. and Vanobberghen, F. and Weobong, B. and Rahman, A. and Weiss, H. A.. (2023) Predictors of spontaneous remission and recovery among women with untreated perinatal depression in India and Pakistan. Glob Ment Health (Camb), 10. e34.

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Abstract

BackgroundMothers with perinatal depression can show different symptom trajectories and may spontaneously remit from depression, however, the latter is poorly understood. This is the first study which sought to investigate predictors of spontaneous remission and longer-term recovery among untreated women with perinatal depression.MethodsWe analysed data from two randomised controlled trials in women with perinatal depression in India and Pakistan. Analyses were restricted to women in the control groups who did not receive active treatment. Generalised estimating equations and logistic regressions were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for within-person correlation.ResultsIn multivariable analyses, remission was associated with a husband who is not working (adjusted OR, aOR = 2.04, 95% CI 1.02-4.11), lower Patient Health Questionnaire-9 score at baseline (aOR = 0.43, 95% CI 0.20-0.90 for score of ≥20 vs. 10-14) and better social support at baseline (aOR = 2.37, 95% CI 1.32-4.27 for high vs. low social support).ConclusionsWomen with low baseline severity may remit from perinatal depression with adequate social support from family and friends. These factors are important contributors to the management of perinatal depression and the prevention of clinical worsening, and should be considered when designing low-threshold psychological interventions.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Medicine (MED) > Clinical Statistics and Data Management (Glass)
UniBasel Contributors:Vanobberghen, Fiona
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:2054-4251 (Electronic), 2054-4251 (Linking)
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:24 Oct 2023 08:45
Deposited On:24 Oct 2023 08:45

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