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

BACKGROUND: Premenstrual 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. METHODS: In 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. RESULTS: For 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%). CONCLUSIONS: These 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.

Internet-Based Cognitive-Behavioural Intervention for Women with Premenstrual Dysphoric Disorder: A Randomized Controlled Trial.

BACKGROUND: Given the high prevalence of clinically relevant premenstrual symptoms and the associated impairment, there is a need for effective treatments. Initial evidence suggests cognitive-behavioural therapy (CBT) as an effective treatment for premenstrual dysphoric disorder (PMDD). The aim of the current randomized clinical trial was to evaluate an Internet-based CBT (iCBT) to reduce the burden of PMDD. METHODS: In all, 174 women with PMDD were recruited via newspaper articles, flyers, and social media. They were randomized to a treatment group (TG; n = 86) or waitlist control group (CG; n = 88). Women of the TG received an 8-week therapist-guided iCBT. Data were assessed before and after treatment/waiting, and 6 months after intervention with prospective symptom diaries and questionnaires in the premenstrual phase. Treatment effects and moderators were analysed using hierarchical linear modelling. RESULTS: Significant time × group interaction effects on functional impairment and psychological impairment, impact on everyday life, symptom intensity, and symptom disability in favour of the TG indicated the efficacy of the treatment. Follow-up assessments demonstrated treatment effects to be stable until 6 months after treatment. Additionally, significant interactions with moderator variables were found. In the TG, higher levels of active coping and lower levels of support-seeking coping were associated with stronger improvement in interference in everyday life and symptom intensity. In addition, lower levels of perceived stress were associated with stronger improvement in functional impairment. CONCLUSION: The iCBT was highly effective in reducing the burden of PMDD. It appears to be particularly important to address coping styles and stress management in the treatment.

Clusters of premenstrual symptoms in women with PMDD: Appearance, stability and association with impairment.

Although premenstrual dysphoric disorder (PMDD) is assumed to be a homogenous diagnostic entity, it is hallmarked by highly diverse clinical symptoms. In this study, we investigate symptom clusters in women prospectively diagnosed with severe premenstrual syndrome (PMS) or PMDD using factor analysis; analyze the stability of the structures of different symptom patterns and their association with impairment at work, in recreation, and in relationships. A total of 174 prospective symptom diaries were analyzed with principal axis factoring revealing six clusters named affective dysphoria, somatic dysphoria, irritability, breast/body sensitivity, pain, and eating behavior. Cronbach's alpha was good for all clusters (0.83 to 0.91) with the exception of the cluster pain (0.69). Clusters of symptoms appeared to be stable between two consecutive menstrual cycles (except of pain and eating behavior) and between two cycles with a waiting period of eight weeks in between. Multiple regression analyses showed different associations of the clusters with impairment. Somatic dysphoria was the cluster most strongly associated with impairment. The results indicate that in severe PMS/PMDD, different symptom patterns should be considered. As the risk of impairment differs between symptom clusters, individual treatment options should be considered and further investigated in research and treatment.

Methods for coping with premenstrual change: Development and validation of the German Premenstrual Change Coping Inventory.

During the premenstrual phase, psychological and physiological changes can occur, which are associated with different levels of disability. When they appear with Premenstrual Dysphoric Disorder (PMDD), different coping strategies may be used by women to deal with premenstrual changes. Currently no German measure exists for assessing premenstrual symptom-related coping strategies. Therefore, we developed the Premenstrual Change Coping Inventory (PMS-Cope). First, the 33-item questionnaire was tested with an exploratory factor analytic approach (EFA) in a sample of 150 women prospectively diagnosed with PMDD or severe Premenstrual Syndrome from August 2013 until March 2016. The EFA resulted in a 12-item scale with a two-factor structure: "seeking positive affect-inducing activities" and "seeking support"; Cronbach`s alpha of 0.73 and 0.71, respectively, demonstrated good reliability for both factors. Confirmatory factor analysis based on a second sample of 89 women conducted from May 2016 until June 2016 confirmed the two-factor structure. Additionally, a potential third factor "healthcare use behavior" was tested with an EFA. For the three-factor solution, satisfactory Cronbach's alpha values (0.70-0.72) were detected. The PMS-Cope was shown to be a valid, reliable, and economic measure. In future research, cross validations and confirmatory factor analyses with the three-factor solution should be conducted.