Literature DB >> 18852497

Psychological intervention for premenstrual syndrome: a meta-analysis of randomized controlled trials.

Jason W Busse1, Victor M Montori, Catherine Krasnik, Irene Patelis-Siotis, Gordon H Guyatt.   

Abstract

BACKGROUND: We conducted a systematic review and meta-analysis to determine the efficacy of psychological interventions for premenstrual syndrome.
METHODS: We systematically searched and selected studies that enrolled women with premenstrual syndrome in which investigators randomly assigned them to a psychological intervention or to a control intervention. Trials were included irrespective of their outcomes and, when possible, we conducted meta-analyses.
RESULTS: Nine randomized trials, of which 5 tested cognitive behavioural therapy, contributed data to the meta-analyses. Low quality evidence (design and implementation weaknesses of the studies, possible reporting bias) suggests that cognitive behavioural therapy significantly reduces both anxiety (effect size [ES] = -0.58; 95% confidence interval [CI] = -1.15 to -0.01; number needed to treat [NNT] = 5), and depression (ES = -0.55; 95% CI = -1.05 to -0.05; NNT = 5), and also suggests a possible beneficial effect on behavioural changes (ES = -0.70; 95% CI = -1.29 to -0.10; NNT = 4) and interference of symptoms on daily living (ES = -0.78; 95% CI = -1.53 to -0.03; NNT = 4). Results provide much more limited support for monitoring as a form of therapy and suggest the ineffectiveness of education.
CONCLUSIONS: Low quality evidence from randomized trials suggests that cognitive behavioural therapy may have important beneficial effects in managing symptoms associated with premenstrual syndrome. 2008 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2008        PMID: 18852497     DOI: 10.1159/000162296

Source DB:  PubMed          Journal:  Psychother Psychosom        ISSN: 0033-3190            Impact factor:   17.659


  19 in total

Review 1.  Cognitive-behavioral and pharmacological interventions for premenstrual syndrome or premenstrual dysphoric disorder: a meta-analysis.

Authors:  Maria Kleinstäuber; Michael Witthöft; Wolfgang Hiller
Journal:  J Clin Psychol Med Settings       Date:  2012-09

2.  Predictors of premenstrual impairment among women undergoing prospective assessment for premenstrual dysphoric disorder: a cycle-level analysis.

Authors:  K M Schmalenberger; T A Eisenlohr-Moul; P Surana; D R Rubinow; S S Girdler
Journal:  Psychol Med       Date:  2017-02-14       Impact factor: 7.723

3.  Mind over PMDD: A Glimpse into the Process of Pharmacotherapy-Psychotherapy Combination Treatment.

Authors:  Gili W Adler Nevo; Colman Nefsky
Journal:  J Can Acad Child Adolesc Psychiatry       Date:  2014-05

4.  Treating comorbid premenstrual dysphoric disorder in women with bipolar disorder.

Authors:  Mara Smith; Benicio N Frey
Journal:  J Psychiatry Neurosci       Date:  2016-03       Impact factor: 6.186

Review 5.  Premenstrual Dysphoric Disorder: Epidemiology and Treatment.

Authors:  Liisa Hantsoo; C Neill Epperson
Journal:  Curr Psychiatry Rep       Date:  2015-11       Impact factor: 5.285

6.  ISPMD consensus on the management of premenstrual disorders.

Authors:  Tracy Nevatte; Patrick Michael Shaughn O'Brien; Torbjorn Bäckström; Candace Brown; Lorraine Dennerstein; Jean Endicott; C Neill Epperson; Elias Eriksson; Ellen W Freeman; Uriel Halbreich; Khalid Ismail; Nicholas Panay; Teri Pearlstein; Andrea Rapkin; Robert Reid; David Rubinow; Peter Schmidt; Meir Steiner; John Studd; Inger Sundström-Poromaa; Kimberly Yonkers
Journal:  Arch Womens Ment Health       Date:  2013-04-27       Impact factor: 3.633

7.  The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses.

Authors:  Stefan G Hofmann; Anu Asnaani; Imke J J Vonk; Alice T Sawyer; Angela Fang
Journal:  Cognit Ther Res       Date:  2012-07-31

8.  Return to work coordination programmes for work disability: a meta-analysis of randomised controlled trials.

Authors:  Stefan Schandelmaier; Shanil Ebrahim; Susan C A Burkhardt; Wout E L de Boer; Thomas Zumbrunn; Gordon H Guyatt; Jason W Busse; Regina Kunz
Journal:  PLoS One       Date:  2012-11-19       Impact factor: 3.240

Review 9.  Clinical epidemiology of premenstrual disorder: informing optimized patient outcomes.

Authors:  Lynne Ll Robinson; Khaled Mk Ismail
Journal:  Int J Womens Health       Date:  2015-09-25

Review 10.  Patient-reported outcomes in meta-analyses--Part 1: assessing risk of bias and combining outcomes.

Authors:  Bradley C Johnston; Donald L Patrick; Jason W Busse; Holger J Schünemann; Arnav Agarwal; Gordon H Guyatt
Journal:  Health Qual Life Outcomes       Date:  2013-07-01       Impact factor: 3.186

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