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Peters JR, Schmalenberger KM, Eng AG, Stumper A, Martel MM, Eisenlohr-Moul TA. Dimensional Affective Sensitivity to Hormones across the Menstrual Cycle (DASH-MC): A transdiagnostic framework for ovarian steroid influences on psychopathology. Mol Psychiatry 2024:10.1038/s41380-024-02693-4. [PMID: 39143323 DOI: 10.1038/s41380-024-02693-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 07/31/2024] [Accepted: 08/05/2024] [Indexed: 08/16/2024]
Abstract
Fluctuations in progesterone (P4) and estradiol (E2) across the menstrual cycle can exert direct effects on biological systems implicated in neuropsychiatric disorders and represent a key biological source of variability in affective, cognitive, and behavioral disorders. Although these cyclical symptoms may be most readily identified when they occur exclusively in relation to the menstrual cycle, as in DSM-5 premenstrual dysphoric disorder, symptom changes of similar magnitude occur in a larger proportion of people with ongoing psychiatric disorders. Studies investigating cyclical regulation of brain and behavior often produce inconsistent results, which may be attributed to a lack of focus on specific hormonal events and individual differences in related sensitivities. We propose a transdiagnostic Dimensional Affective Sensitivity to Hormones across the Menstrual Cycle (DASH-MC) framework, postulating that atypical neural responses to several key hormonal events provoke specific temporal patterns of affective and behavioral change across the menstrual cycle. We review prospective and experimental evidence providing initial support for these dimensions, which include (1) luteal-onset negative affect caused by a sensitivity to E2 or P4 surges (mediated by neuroactive metabolites such as allopregnanolone), typified by irritability and hyperarousal; (2) perimenstrual-onset negative affect caused by a sensitivity to low or falling E2, typified by low mood and cognitive dysfunction; and (3) preovulatory-onset positive affect dysregulation caused by a sensitivity to E2 surges, typified by harmful substance use and other risky reward-seeking. This multidimensional, transdiagnostic framework for hormone sensitivity can inform more precise research on ovarian steroid regulation of psychopathology, including further mechanistic research, diagnostic refinement, and precision psychiatry treatment development. Additionally, given the high rates of hormone sensitivity across affective disorders, the DASH-MC may guide broader insights into the complex neurobiological vulnerabilities driving female-biased affective risk, as well as potential triggers and mechanisms of affective state change in psychiatric disorders.
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Affiliation(s)
- Jessica R Peters
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
| | | | - Ashley G Eng
- Department of Psychology, University of Kentucky, Lexington, KY, USA
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Allison Stumper
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Psychiatry, Rhode Island Hospital, Providence, RI, USA
| | - Michelle M Martel
- Department of Psychology, University of Kentucky, Lexington, KY, USA
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Tauseef HA, Schmalenberger KM, Barone JC, Ross JM, Peters JR, Girdler SS, Eisenlohr-Moul TA. Is trait rumination associated with affective reactivity to the menstrual cycle? A prospective analysis. Psychol Med 2024; 54:1824-1834. [PMID: 38284220 PMCID: PMC11132929 DOI: 10.1017/s0033291723003793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
BACKGROUND A minority of naturally cycling individuals experience clinically significant affective changes across the menstrual cycle. However, few studies have examined cognitive and behavioral constructs that may maintain or worsen these changes. Several small studies link rumination with premenstrual negative affect, with authors concluding that a tendency to ruminate amplifies and perpetuates hormone-sensitive affective symptoms. Replication in larger samples is needed to confirm the validity of rumination as a treatment target. METHOD 190 cycling individuals (M = 30.82 years; 61.1% Caucasian) were recruited for moderate perceived stress, a risk factor for cyclical symptoms. They completed the Rumination Response Scale at baseline, then reported daily affective and physical symptoms across 1-6 cycles. Multilevel growth models tested trait rumination as a predictor of baseline levels, luteal increases, and follicular decreases in symptoms. RESULTS The degree of affective cyclicity was normally distributed across a substantial range, supporting feasibility of hypothesis tests and validating the concept of dimensional hormone sensitivity. Contrary to prediction, higher brooding did not predict levels or cyclical changes of any symptom. In a subsample selected for luteal increases in negative affect, brooding predicted higher baseline negative affect but still did not predict affective cyclicity. CONCLUSIONS An individual's trait-like propensity to engage in rumination may not be a valid treatment target in premenstrual mood disorders. State-like changes in rumination should still be further explored, and well-powered prospective studies should explore other cognitive and behavioral factors to inform development of targeted psychological treatments for patients with cyclical affective symptoms.
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Affiliation(s)
| | | | | | - Jaclyn M. Ross
- Department of Psychiatry, The University of Illinois at Chicago
| | - Jessica R. Peters
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University
| | - Susan S. Girdler
- Department of Psychiatry, The University of North Carolina at Chapel Hill
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Klusmann H, Eisenlohr-Moul T, Baresich K, Schmalenberger KM, Girdler S, Andersen E. Analyzing the atypical - Methods for studying the menstrual cycle in adolescents. Psychoneuroendocrinology 2023; 158:106389. [PMID: 37769538 PMCID: PMC10843271 DOI: 10.1016/j.psyneuen.2023.106389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 08/08/2023] [Accepted: 09/10/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND The female pubertal transition is characterized by a rapidly changing hormone milieu, which is heavily influenced by the first menstrual cycle - menarche. The first year following menarche is associated with menstrual cycles that are irregular and anovulatory. Peripuberty also marks the beginning of a female-biased risk for suicidality and depression, suggesting some influence by the menstrual cycle and ovarian hormone fluctuations. However, there are limited methods and guidelines for studying the menstrual cycle and related affective symptoms in this developmental window. Thus, this study's objective was to identify the most accurate methods for detecting ovulation in irregular cycles (Part 1) and develop guidelines based on these methods for determining menstrual cycle phases. These methods were applied to investigate hormones and affective symptoms based on cycle phase and ovulation status in a sample of peripubertal females (Part 2). METHODS Thirty-two peripubertal females (ages 11-14) provided daily urine samples of estrogen (E1G) and progesterone (PdG) metabolites and luteinizing hormone (LH), and ratings of affective symptoms for one menstrual cycle. Ten literature-derived methods for determining the presence of an LH-peak or PdG rise were compared, focusing on their feasibility for psychological research. RESULTS Methods by Sun et al. (2019) and Park et al. (2007) most accurately detected PdG rises and LH peaks in this sample, identifying 40.6% of cycles as ovulatory. As expected, ovulatory participants showed greater LH in the periovulatory phase (p = .001), greater PdG in the mid-luteal phase (p < .0001), and greater E1G in the periovulatory phase (p = .001) compared with anovulatory participants. Exemplary methods to compare psychological symptoms between both groups are provided. CONCLUSIONS Recommendations and guidelines for studying the menstrual cycle in irregular cycling adolescents are offered. Novel methods for ovulation detection identified phase-specific hormonal patterns in anovulatory and ovulatory adolescent cycles.
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Affiliation(s)
- Hannah Klusmann
- Division of Clinical Psychological Intervention, Department of Education and Psychology, Freie Universität Berlin, Schwendenerstraße 27, 14195 Berlin, Germany.
| | - Tory Eisenlohr-Moul
- Department of Psychiatry, University of Illinois at Chicago College of Medicine, Department of Psychiatry (MC 913), 60612 Chicago, USA.
| | - Kayla Baresich
- School of Medicine, Department of Psychiatry, University of North Carolina at Chapel Hill, Carolina Crossings Building B, 2218 Nelson Highway, 27517 Chapel Hill, USA.
| | - Katja M Schmalenberger
- Department of Psychiatry, University of Illinois at Chicago College of Medicine, Department of Psychiatry (MC 913), 60612 Chicago, USA.
| | - Susan Girdler
- School of Medicine, Department of Psychiatry, University of North Carolina at Chapel Hill, Carolina Crossings Building B, 2218 Nelson Highway, 27517 Chapel Hill, USA.
| | - Elizabeth Andersen
- School of Medicine, Department of Psychiatry, University of North Carolina at Chapel Hill, Carolina Crossings Building B, 2218 Nelson Highway, 27517 Chapel Hill, USA.
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Barone JC, Ross JM, Nagpal A, Guzman G, Berenz E, Pang RD, Eisenlohr-Moul TA. Alcohol use and motives for drinking across the menstrual cycle in a psychiatric outpatient sample. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2023; 47:127-142. [PMID: 36661851 PMCID: PMC9975029 DOI: 10.1111/acer.14971] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 09/27/2022] [Accepted: 11/01/2022] [Indexed: 01/21/2023]
Abstract
BACKGROUND Females who misuse alcohol experience high rates of negative physical and mental health consequences. Existing findings are inconsistent but suggest a relationship between ovarian hormones and alcohol use. We aim to clarify how alcohol use and drinking motives vary across the menstrual cycle in female psychiatric outpatients using the luteinizing hormone (LH)-confirmed cycle phase. METHODS Daily self-reports (n = 3721) were collected from 94 naturally cycling females, recruited for past-month suicidal ideation, during the baseline phase of three parent clinical trials between February 2017 and May 2022. Multilevel logistic and linear models estimated the relationship between the cycle phase (with LH-surge confirmed ovulation) and daily alcohol use or drinking motives, moderated by the weekend. Models were adjusted for age, legal drinking status, substance use disorder, and the COVID-19 pandemic, and included random effects. RESULTS Participants were generally more likely to drink in the midluteal (vs. perimenstrual) phase, but more likely to drink heavily on weekends in periovulatory and perimenstrual (vs. midluteal) phases. Social motives for drinking were significantly higher on weekends in the periovulatory, mid-follicular, and midluteal phases (vs. weekdays), but this finding was non-significant in the perimenstrual phase. Participants rated drinking to cope higher in the perimenstrual phase (vs. midluteal phase), regardless of the weekend. CONCLUSION In a psychiatric sample with LH-surge-confirmed ovulation, we find an increased likelihood to drink heavily in periovulatory and perimenstrual phases on weekends. We also find that the perimenstrual phase is associated with increased drinking to cope, and relatively lower weekend social drinking. Finally, random effects across models suggest individual differences in the extent to which the cycle influences drinking. Our findings stress (1) predictable phases of increased high-risk alcohol use across the menstrual cycle, and (2) the importance of individual assessment of cyclical changes in alcohol use to predict and prevent ovulation- and menses-related surges in heavy drinking.
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Affiliation(s)
- Jordan C Barone
- Department of Psychiatry, University of Illinois at Chicago, Illinois, Chicago, USA
- Graduate Program in Neuroscience, University of Illinois at Chicago, Illinois, Chicago, USA
| | - Jaclyn M Ross
- Department of Psychiatry, University of Illinois at Chicago, Illinois, Chicago, USA
| | - Anisha Nagpal
- Department of Psychiatry, University of Illinois at Chicago, Illinois, Chicago, USA
- Graduate Program in Neuroscience, University of Illinois at Chicago, Illinois, Chicago, USA
| | - Gabriela Guzman
- Department of Psychiatry, University of Illinois at Chicago, Illinois, Chicago, USA
| | - Erin Berenz
- Department of Psychology, University of Illinois at Chicago, Illinois, Chicago, USA
| | - Raina D Pang
- Department of Population and Public Health Sciences & Psychology, University of Southern California, California, Los Angeles, USA
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Eisenlohr-Moul T, Divine M, Schmalenberger K, Murphy L, Buchert B, Wagner-Schuman M, Kania A, Raja S, Miller AB, Barone J, Ross J. Prevalence of lifetime self-injurious thoughts and behaviors in a global sample of 599 patients reporting prospectively confirmed diagnosis with premenstrual dysphoric disorder. BMC Psychiatry 2022; 22:199. [PMID: 35303811 PMCID: PMC8933886 DOI: 10.1186/s12888-022-03851-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/02/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Suicide is the second leading cause of death among Americans ages 10 to 34, with alarming recent increases in suicide rates among those assigned female at birth. A large body of evidence points to menstrual cycle influences on self-injurious thoughts and behaviors (STBs), suggesting that neurobiological hormone sensitivities, such as in premenstrual dysphoric disorder (PMDD), may drive suicide risk in females. However, existing studies of STBs in PMDD use cross-sectional self-report measures of PMDD with poor validity. As a first step to establish accurate prevalence rates of STBs in PMDD, we examined the lifetime prevalence of STBs in a large global survey of patients reporting a diagnosis of PMDD based on daily ratings. METHOD Individuals with self-reported PMDD symptoms were invited to an online survey through online support groups for PMDD and social media posts from PMDD awareness accounts. Participants reported demographics, whether they had been diagnosed with PMDD by a healthcare provider using daily ratings, STBs using the Columbia Suicide Severity Rating Scale, and history of lifetime comorbid psychiatric diagnoses. RESULTS Of 2,689 survey completers, 599 (23%) reported a diagnosis with PMDD based on two months of daily ratings and were included in analyses. We observed high rates of lifetime active suicidal ideation (72%), planning (49%), intent (42%), preparing for an attempt (40%), and attempt (34%), as well as non-suicidal self-injury (51%). The majority (70%) of the sample reported at least one lifetime comorbid psychiatric diagnosis. Predictors of lifetime active suicidal ideation included nulliparity, low-to-moderate (vs. high) income, and history of diagnosis with major depression or post-traumatic stress disorder. Predictors of lifetime attempts among those reporting lifetime active ideation included older age, nulliparity, lower income, and history of diagnosis with post-traumatic stress disorder or borderline personality disorder. CONCLUSIONS These data indicate high rates of STBs among those reporting prospective diagnosis of PMDD and highlight the need for prospective research on mechanisms and prevention of STBs in PMDD. Clinical practice guidelines for PMDD should accommodate comorbidities and recommend frequent screenings for STB risk. STBs should be considered for inclusion in future iterations of the DSM PMDD diagnostic criteria.
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Affiliation(s)
- Tory Eisenlohr-Moul
- Department of Psychiatry, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA.
- International Association for Premenstrual Disorders, Boston, MA, USA.
| | - Madeline Divine
- Department of Psychiatry, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA
- University of Texas at Austin, Austin, TX, USA
| | - Katja Schmalenberger
- International Association for Premenstrual Disorders, Boston, MA, USA
- Heidelberg University, Heidelberg, Germany
| | - Laura Murphy
- International Association for Premenstrual Disorders, Boston, MA, USA
| | - Brett Buchert
- International Association for Premenstrual Disorders, Boston, MA, USA
| | - Melissa Wagner-Schuman
- Department of Psychiatry, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA
- University of Cincinnati, Cincinnati, OH, USA
| | - Alyssa Kania
- Department of Psychiatry, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA
| | - Sabina Raja
- Department of Psychiatry, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA
| | - Adam Bryant Miller
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- RTI International, Raleigh, NC, USA
| | - Jordan Barone
- Department of Psychiatry, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA
| | - Jaclyn Ross
- Department of Psychiatry, University of Illinois at Chicago, 912 South Wood Street, Chicago, IL, 60612, USA
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