Premenstrual dysphoric disorder and risk for major depressive disorder: A preliminary study

Hartlage, Shirley; Arduino, Kelly E.; Gehlert, Sarah

doi:10.1002/jclp.1119

Cited by 34 publications

(31 citation statements)

References 21 publications

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“…Those authors concluded that PMDD may be a risk factor or prodrome of MDD. 12 Premenstrual dysphoric disorder and moderate to severe PMS can cause significant impairment of function in affected individuals, hence the need for early detection and treatment. 9 The primary aim of this study was to determine the prevalence of PMDD in adolescents presenting to clinics in the midwestern United States and 2 Nigerian cities and to compare the results for any cultural differences.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of the Prevalence of Premenstrual Dysphoric Disorder and Comorbidities among Adolescents in the United States of America and Nigeria

Ogebe

Abdulmalik

Bello-Mojeed

et al. 2011

Journal of Pediatric and Adolescent Gynecology

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Section: Introductionmentioning

confidence: 99%

A Comparison of the Prevalence of Premenstrual Dysphoric Disorder and Comorbidities among Adolescents in the United States of America and Nigeria

Ogebe

Abdulmalik

Bello-Mojeed

et al. 2011

Journal of Pediatric and Adolescent Gynecology

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“…There is also some evidence that women with PMDD might be at a higher risk to develop major depression in the future than women without PMDD [20,21]. …”

Section: Introductionmentioning

confidence: 99%

The interrelation between premenstrual syndrome and major depression: Results from a population-based sample

et al. 2011

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BackgroundResearch about the relationship between premenstrual syndrome (PMS) and major depression is limited. This study examined the relationship between moderate to severe PMS and major depression in a population-based sample of women of reproductive age. The objectives of the study were to assess the association between premenstrual syndrome and major depression, to analyse how PMS and major depression differ and to characterise the group of women who report both PMS and major depression.MethodsData were obtained from the Swiss Health Survey 2007. Included in the analysis was data from women under the age of 55 without hysterectomy and who answered the questions on PMS symptoms. The population-based sample consisted of 3518 women. Weighted prevalence rates were calculated and relative risk ratios for PMS, major depression and women who reported both PMS and major depression, were calculated with logistic multinominal logit regression.ResultsThe prevalence of major depression was 11.3% in women screening positive for moderate PMS and 24.6% in women screening positive for severe PMS. Compared to women without any of these conditions, women who reported moderate to severe alcohol consumption had a lower risk for PMS. Women reporting use of antidepressants, and use of oral contraceptives had a higher risk for major depression compared to women without any of these conditions. Women reporting work dissatisfaction had a higher risk for PMS. A higher relative risk to report both PMS and major depression compared to women without PMS or major depression was related to factors such as high psychological distress, low mastery, psychotropic drug consumption, and low self-rated health.ConclusionsThe results suggested that women who suffer from both PMS and major depression are more impaired compared to women with only one disorder. The results further indicated that PMS and major depression are different disorders that can, however, co-occur.

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“…Evidence shows that those who experience major depressive disorder have previously experienced subsyndromal depression [59] and that those with subsyndromal depression, brief depressive experiences, dysthymic disorder and premenstrual dysphoric disorder are at a higher risk of developing major depressive disorder [35, 36, 57,60,61,62,63,64,65]. Risk of future suicide-related behaviors [61] as well as mortality [66] are as significant in those with subsyndromal depression as in those with a depressive disorder.…”

Section: Operationalizing the Early Stages Of Depressive Disordermentioning

confidence: 99%

Early Identification and Intervention in Depressive Disorders: Towards a Clinical Staging Model

Hetrick¹,

Parker²,

Ib³

et al. 2008

Psychother Psychosom

145

102

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Background: Depressive disorders are common and associated risks include the onset of secondary disorders, substance use disorders, impairment in social and occupational functioning, and an increase in suicidality. As the onset often occurs in youth, there is a clear imperative for early identification and intervention to ameliorate, if not prevent, associated distress. Methods: An extensive search of relevant databases and an ancestry search was undertaken. Results: There is a limited but growing body of literature on this topic that is discussed in relation to a clinical staging model, which may prove to be a useful framework for identifying where an individual lies along the continuum of the course of a depressive illness thus allowing interventions to be matched for that stage. The identification of a subsyndromal and prodromal stage of depressive disorders provides early intervention opportunities. Conclusions: It is argued that a clinical staging heuristic may increase the number of those treated early, which may in turn delay or prevent onset, reduce severity, or prevent progression in the course of depressive disorders.

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Premenstrual dysphoric disorder and risk for major depressive disorder: A preliminary study

Cited by 34 publications

References 21 publications

A Comparison of the Prevalence of Premenstrual Dysphoric Disorder and Comorbidities among Adolescents in the United States of America and Nigeria

A Comparison of the Prevalence of Premenstrual Dysphoric Disorder and Comorbidities among Adolescents in the United States of America and Nigeria

The interrelation between premenstrual syndrome and major depression: Results from a population-based sample

Early Identification and Intervention in Depressive Disorders: Towards a Clinical Staging Model

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