Emotion‐related impulsivity and rumination predict the perimenstrual severity and trajectory of symptoms in women with a menstrually related mood disorder

Dawson, Danyelle N.; Eisenlohr‐Moul, Tory A.; Paulson, Julia L.; Peters, Jessica R.; Rubinow, David R.; Girdler, Susan S.

doi:10.1002/jclp.22522

Cited by 21 publications

(17 citation statements)

References 40 publications

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“…Subsequent research has confirmed heightened levels of impulsivity with both PMDD and premenstrual symptom severity (e.g. Dawson et al 2018;Petersen et al 2016), making this a hypothesis that would benefit from future research. Future research should also be directed at the clinically most meaningful assessment of impulsivity in this group of women and its role as a potential risk factor alongside the role that personality traits may play.…”

Section: Discussionmentioning

confidence: 87%

Suicidality in women with Premenstrual Dysphoric Disorder: a systematic literature review

Osborn

Brooks

O’Brien

et al. 2020

Arch Womens Ment Health

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Previous research has identified how menstruation is an important factor in both attempted and completed suicides for women. The purpose of this review was to outline (a) the risk profile for suicidality in women who were identified to experience Premenstrual Dysphoric Disorder (PMDD), a condition characterized by severe physical and psychological changes that occur during the luteal menstrual phase, and (b) the implications of these findings for clinical practice. A systematic literature review was conducted using five databases to identify any peer-reviewed articles published between 1989 and 2019. Ten papers eligible for inclusion were identified: three pertaining to suicide cognitions, five to suicide attempts and two to both cognitions and attempts. Findings showed that suicidal thoughts, ideation, plans and attempts were strongly associated with experiences of PMDD and that these findings were independent of psychiatric co-morbidities. However, women with PMDD did not present with more severe risk profiles for suicide attempts (in terms of frequency, impulsivity and lethality) or make more frequent attempts during the luteal menstrual phase compared with suicide attempters without PMDD. Women with PMDD should be considered a high risk group for suicidality; thus, identifying and treating symptoms are vital in reducing suicide attempts. Implications for clinical practice are outlined in the discussion.

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Section: Discussionmentioning

confidence: 87%

Suicidality in women with Premenstrual Dysphoric Disorder: a systematic literature review

Osborn

Brooks

O’Brien

et al. 2020

Arch Womens Ment Health

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“…psychological factors associated with prospectively-diagnosed PMDD and severity of symptom expression. Compared with controls, patients with PMDD show higher trait levels of brooding rumination (Craner, Sigmon, Martinson, & McGillicuddy, 2014), and higher brooding rumination among patients with PMDD prolonged residual symptoms in the early follicular phase (Dawson et al, 2018). Patients with PMDD also report higher trait levels of avoidant or impulsive behaviors than controls (Craner et al, 2014;Petersen et al, 2016).…”

Section: Psychosocial Mechanisms In Pmdd a Small Number Of Studies Hmentioning

confidence: 92%

“…The C-PASS scoring system (Eisenlohr-Moul et al, 2017), including the excel and SAS macro, can be used in research either to diagnose individuals categorically (e.g., individual A meets criteria for PMDD across two cycles of daily ratings, whereas individual B does not) and measure symptom cyclicity dimensionally (e.g., individual A showed an average of 45% premenstrual elevation of depression across two cycles; individual B showed an average of 28% premenstrual elevation of depression across two cycles). In addition to these methods, which use daily ratings to create between-person variables, daily symptoms can also be modeled directly as repeated outcomes in multilevel models, using coded menstrual cycle variables (Schmalenberger & Eisenlohr-Moul, 2019) as categorical or continuous predictors (e.g., as in (Dawson et al, 2018;.…”

Section: How To Study Pmdsmentioning

confidence: 99%

Premenstrual Disorders: A Primer and Research Agenda for Psychologists

Eisenlohr‐Moul

2019

Preprint

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Females are two times more likely to develop an affective disorder and three times more likely to make a suicide attempt. The etiology of these sex differences is complex, and cannot be reduced to biology alone. However, the growing field of reproductive mood disorders highlights how lifetime exposure to fluctuations in neuroactive sex hormones (including across the menstrual cycle) do contribute to greater female risk, specifically among those females who are neurobiologically sensitive to normal hormone changes (e.g., those with premenstrual disorders). Psychologists--and particularly clinical psychologists-- are trained to be expert in skills relevant to the study and treatment of premenstrual disorders, including assessment, differential diagnosis, and mechanisms of complex behaviors, and often develop other relevant expertise in the neurobiology of affective disorders and advanced longitudinal methods. The purpose of this article is to clarify how psychologists’ strengths can be readily applied to advance scientific knowledge and improve patient care in premenstrual disorders. In order to increase psychologist involvement in this emerging field, this article includes a primer on premenstrual disorders such as premenstrual dysphoric disorder (PMDD) and premenstrual exacerbation (PME) of underlying disorders. It then provides recommendations for research psychologists interested in engaging this field, and outlines critical research areas for future work. Finally, brief recommendations for psychologists in clinical practice are provided.

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“…Although PMDD generally demonstrates symptom offset during or just after menses, several studies have noted variability in the timing and speed of this symptom offset. There appears to be a normative rapid symptom offset in the first 3 days of menses (Pearlstein et al ., 2005), but some symptoms, especially those related to depression, sometimes demonstrate a slower offset in PMDD (Bancroft et al ., 1994; Dawson et al ., 2018) and in PME of borderline personality disorder (Eisenlohr-Moul et al ., 2018 b ). Although the mechanisms of these offset differences remain relatively understudied, both emotion regulation strategies (Dawson et al ., 2018) and differences in response to hormone withdrawal (Eisenlohr-Moul et al ., 2018 a , 2018 b ) may play a role.…”

Section: Introductionmentioning

confidence: 99%

“…(2017)]. Consistent with previous work (e.g. Bancroft et al ., 1994; Dawson et al ., 2018; Eisenlohr-Moul et al ., 2018 a , 2018 b ), we also hypothesized that, especially for depressive symptoms, one trajectory group would show a late offset of symptoms, with symptoms arising at any point in the luteal phase but remitting more slowly or incompletely in the menstrual and postmenstrual weeks.…”

Section: Introductionmentioning

confidence: 99%

Are there temporal subtypes of premenstrual dysphoric disorder?: using group-based trajectory modeling to identify individual differences in symptom change

et al. 2019

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BackgroundPremenstrual dysphoric disorder (PMDD) is a new Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 diagnosis characterized by the cyclical emergence of emotional and physical symptoms in the luteal phase of the menstrual cycle, with symptom remission in the follicular phase. Converging evidence highlights the possibility of distinct subtypes of PMDD with unique pathophysiologies, but temporal subgroups have yet to be explored in a systematic way.MethodsIn the current work, we use group-based trajectory modeling to identify unique trajectory subgroups of core emotional and total PMDD symptoms across the perimenstrual frame (days −14 to +9, where day 0 is menstrual onset) in a sample of 74 individuals prospectively diagnosed with DSM-5 PMDD.ResultsFor the total daily symptom score, the best-fitting model was comprised of three groups: a group demonstrating moderate symptoms only in the premenstrual week (65%), a group demonstrating severe symptoms across the full 2 weeks of the luteal phase (17.5%), and a group demonstrating severe symptoms in the premenstrual week that were slow to resolve in the follicular phase (17.5%).ConclusionsThese trajectory groups are discussed in the context of the latest work on the pathophysiology of PMDD. Experimental work is needed to test for the presence of possible pathophysiologic differences in trajectory groups, and whether unique treatment approaches are needed.

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Emotion‐related impulsivity and rumination predict the perimenstrual severity and trajectory of symptoms in women with a menstrually related mood disorder

Abstract: Both rumination and emotion-related impulsivity may be important treatment targets in cognitive behavioral interventions aimed at reducing symptom severity and cyclicity in MRMDs.

Cited by 21 publications

References 40 publications

Suicidality in women with Premenstrual Dysphoric Disorder: a systematic literature review

Suicidality in women with Premenstrual Dysphoric Disorder: a systematic literature review

Premenstrual Disorders: A Primer and Research Agenda for Psychologists

Are there temporal subtypes of premenstrual dysphoric disorder?: using group-based trajectory modeling to identify individual differences in symptom change

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