Literature DB >> 3585820

Assessment of premenstrual symptomatology: a re-evaluation of the predictive validity of self-report.

W G Hart, G J Coleman, J W Russell.   

Abstract

The predictive validity of subjects' self-reports of the severity of four groups of symptoms associated with the premenstrual syndrome (PMS) was assessed by canonical correlation of retrospective self-reports of usual symptom severities with prospectively obtained symptom severity scores from the next two cycles. Prospective scores from the second cycle were then correlated with retrospective recall scores obtained after the end of that cycle. A measure of inter-cycle variability was obtained by correlation between two consecutive sets of prospective scores. The symptoms studied were tension, depression, cognitive and physical ('water retention') symptoms. It was found that subjects' recall of a particular cycle predicted 72% of the variance in that cycle's prospective severity scores, indicating that the subjects correctly interpreted the severity of premenstrual symptoms and distinguished them from symptoms present in the follicular part of the cycle. Retrospective reports of usual PMS symptomatology predicted 21% of the variance in symptom scores in the next menstrual cycle and 12% of the variance in the following one. Despite this decrease, averaging the scores from the two prospective cycles improved the prediction to 23%. Prospective scores from one cycle predicted only 14% of the variance in prospective scores from the next, suggesting a high degree of inter-cycle variability. Women's self-reports of their usual PMS symptomatology reflect their experience more accurately than has been thought. The finding of marked inter-cycle variability suggests that arguments for the use of a single cycle of prospective data in PMS evaluation are fallacious and that retrospective self-report may be clinically useful and relatively valid.

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Year:  1987        PMID: 3585820     DOI: 10.1016/0022-3999(87)90075-4

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  8 in total

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Journal:  J Youth Adolesc       Date:  2011-10-16

2.  A qualitative investigation of women's perceptions of premenstrual syndrome: implications for general practitioners.

Authors:  J Reilly; J Kremer
Journal:  Br J Gen Pract       Date:  1999-10       Impact factor: 5.386

3.  Premenstrual dysphoric symptoms amongst Brazilian college students: factor structure and methodological appraisal.

Authors:  Chei-Tung Teng; Antônio Helio Guerra Vieira Filho; Rinaldo Artes; Clarice Gorenstein; Laura H Andrade; Yuan-Pang Wang
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2004-11-12       Impact factor: 5.270

Review 4.  Premenstrual exacerbation of mental health disorders: a systematic review of prospective studies.

Authors:  Louise Nora Nolan; Liz Hughes
Journal:  Arch Womens Ment Health       Date:  2022-07-22       Impact factor: 4.405

5.  Treatment of depression associated with the menstrual cycle: premenstrual dysphoria, postpartum depression, and the perimenopause.

Authors:  Ellen W Freeman
Journal:  Dialogues Clin Neurosci       Date:  2002-06       Impact factor: 5.986

Review 6.  Comorbid Premenstrual Dysphoric Disorder in Women with Bipolar Disorder: Management Challenges.

Authors:  Gianna Sepede; Marcella Brunetti; Massimo Di Giannantonio
Journal:  Neuropsychiatr Dis Treat       Date:  2020-02-10       Impact factor: 2.570

Review 7.  How to study the menstrual cycle: Practical tools and recommendations.

Authors:  Katja M Schmalenberger; Hafsah A Tauseef; Jordan C Barone; Sarah A Owens; Lynne Lieberman; Marc N Jarczok; Susan S Girdler; Jeff Kiesner; Beate Ditzen; Tory A Eisenlohr-Moul
Journal:  Psychoneuroendocrinology       Date:  2020-10-13       Impact factor: 4.905

8.  Premenstrual symptoms in dysmenorrheic college students: prevalence and relation to vitamin D and parathyroid hormone levels.

Authors:  Bayan A Obeidat; Haifa A Alchalabi; Khalid K Abdul-Razzak; Mudhaffar I Al-Farras
Journal:  Int J Environ Res Public Health       Date:  2012-11-16       Impact factor: 3.390

  8 in total

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