Literature DB >> 34528134

Generational differences in the prevalence of postpartum depression among young Australians: a comparison of two cohorts born 17 years apart.

Sifan Cao1, Mark Jones2, Leigh Tooth3, Gita Devi Mishra3.   

Abstract

Whether there has been an increase in postpartum depression (PPD) over the generation remains unknown. This study aimed to compare the prevalence in two cohorts of young Australian women born 17 years apart and identified the factors associated with any generational differences. Participants were from the Australian Longitudinal Study on Women's Health, who gave birth between ages 18 and 27 (born in 1973-78 and 1989-95). PPD prevalence was calculated as the percentage of births associated with PPD. Both the prevalence of PPD diagnoses (among 1,610 births) and PPD symptoms (among 953 births) were compared. Relative risks (RRs) and 95% confidence intervals (CIs) were used to report generational differences in the prevalence for PPD diagnoses; Hazard ratios (HRs) and 95% CIs used for PPD symptoms. Factors that differed between cohorts and were associated with PPD diagnoses or PPD symptoms were adjusted. The prevalence of both PPD diagnoses (21.4% vs 10.3%; crude RR: 2.03, 95% CI: 1.59-2.60) and symptoms (20.1% vs 13.3%; crude HR: 1.60, 95% CI: 1.15-2.34) were higher in the 1989-1995 cohort than the 1973-1978 cohort. Generational differences in PPD diagnoses persisted after controlling for potential contributors (RR: 1.53, 95% CI: 1.15-2.04), while generational differences in PPD symptoms were attenuated (HR: 0.98, 95% CI: 0.64-1.49). Of all contributing factors, a history of depression explained most of the generational differences, especially in PPD symptoms (49%), to the extent that when the study sample was stratified by history of depression, no generational differences were detected (without prior depression, HR: 0.65, 95% CI: 0.20-2.08; with prior depression, HR: 1.18, 95% CI: 0.71-1.96). The higher prevalence of PPD in the recent generation was mainly due to the high prevalence of depression. Strategies that well manage pre-existing depression may benefit the prevention of PPD for the current young generation. Further research is warranted to inform detailed prevention approaches.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Entities:  

Keywords:  Cohort comparison; Depression; Generational differences; Postpartum depression; Prevalence

Mesh:

Year:  2021        PMID: 34528134     DOI: 10.1007/s00737-021-01182-9

Source DB:  PubMed          Journal:  Arch Womens Ment Health        ISSN: 1434-1816            Impact factor:   3.633


  39 in total

1.  Depressive symptoms in the Belgian population: disentangling age and cohort effects.

Authors:  Marie-Christine Brault; Bart Meuleman; Piet Bracke
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2011-06-01       Impact factor: 4.328

Review 2.  Intimate partner violence against adult women and its association with major depressive disorder, depressive symptoms and postpartum depression: a systematic review and meta-analysis.

Authors:  Hind A Beydoun; May A Beydoun; Jay S Kaufman; Bruce Lo; Alan B Zonderman
Journal:  Soc Sci Med       Date:  2012-05-21       Impact factor: 4.634

3.  The dynamic course of peripartum depression across pregnancy and childbirth.

Authors:  Sharon Dekel; Tsachi Ein-Dor; Aleksi Ruohomäki; Jussi Lampi; Sari Voutilainen; Tomi-Pekka Tuomainen; Seppo Heinonen; Kirsti Kumpulainen; Juha Pekkanen; Leea Keski-Nisula; Markku Pasanen; Soili M Lehto
Journal:  J Psychiatr Res       Date:  2019-03-15       Impact factor: 4.791

4.  Does premenstrual syndrome before pregnancy increase the risk of postpartum depression? Findings from the Australian Longitudinal Study on Women's Health.

Authors:  Sifan Cao; Mark Jones; Leigh Tooth; Gita Mishra
Journal:  J Affect Disord       Date:  2020-10-06       Impact factor: 4.839

5.  Prenatal tobacco smoking is associated with postpartum depression in Japanese pregnant women: The japan environment and children's study.

Authors:  Meishan Cui; Takashi Kimura; Satoyo Ikehara; Jia-Yi Dong; Kimiko Ueda; Yoko Kawanishi; Tadashi Kimura; Hiroyasu Iso
Journal:  J Affect Disord       Date:  2019-11-30       Impact factor: 4.839

6.  From the third month of pregnancy to 1 year postpartum. Prevalence, incidence, recurrence, and new onset of depression. Results from the perinatal depression-research & screening unit study.

Authors:  Susanna Banti; Mauro Mauri; Annalisa Oppo; Chiara Borri; Cristina Rambelli; Daniele Ramacciotti; Maria S Montagnani; Valeria Camilleri; Sonia Cortopassi; Paola Rucci; Giovanni B Cassano
Journal:  Compr Psychiatry       Date:  2010-09-23       Impact factor: 3.735

7.  Trends in adolescent emotional problems in England: a comparison of two national cohorts twenty years apart.

Authors:  Stephan Collishaw; Barbara Maughan; Lucy Natarajan; Andrew Pickles
Journal:  J Child Psychol Psychiatry       Date:  2010-05-17       Impact factor: 8.982

8.  Course and recurrence of postnatal depression. Evidence for the specificity of the diagnostic concept.

Authors:  P J Cooper; L Murray
Journal:  Br J Psychiatry       Date:  1995-02       Impact factor: 9.319

9.  Analysis of brief screening tools for the detection of postpartum depression: comparisons of the PRAMS 6-item instrument, PHQ-9, and structured interviews.

Authors:  Kristina Davis; Teri Pearlstein; Scott Stuart; Michael O'Hara; Caron Zlotnick
Journal:  Arch Womens Ment Health       Date:  2013-04-12       Impact factor: 3.633

10.  Performance of a five-item mental health screening test.

Authors:  D M Berwick; J M Murphy; P A Goldman; J E Ware; A J Barsky; M C Weinstein
Journal:  Med Care       Date:  1991-02       Impact factor: 2.983

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