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Shi X, Chen M, Pan Q, Zhou J, Liu Y, Jiang T, Lin Y, Huang J, Shen X, Lu D, Li Y. Association between dietary patterns and premenstrual disorders: a cross-sectional analysis of 1382 college students in China. Food Funct 2024; 15:4170-4179. [PMID: 38482855 DOI: 10.1039/d3fo05782h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Premenstrual disorders (PMDs) are common among young women and have been linked to metabolic dysfunction. Limited evidence exists regarding the associations between dietary patterns and PMDs. This cross-sectional study involved young female adults recruited from the Care of Premenstrual Emotion (COPE) cohort study in China to examine the relationship between dietary patterns and PMDs in young adulthood. PMDs were assessed using the Calendar of Premenstrual Experiences, and the consumption frequency of 12 common food groups was evaluated using a Food Frequency Questionnaire. We used principal component analysis to identify the dietary patterns and employed logistic regression to investigate the association between dietary pattern adherence and PMDs. The study included 1382 participants, of whom 337 (24.4%) reported having PMDs. Three dietary patterns were identified and named based on regional food preferences: the Traditional North China Diet (TNCD), the Traditional South China Diet (TSCD), and the Lacto-ovo Vegetarian Diet (LVD). The TSCD, characterized by high consumption of rice, red meat, and poultry, showed a significant inverse association with PMDs. This pattern held good for both premenstrual syndrome and premenstrual dysphoric disorder. These findings suggest that targeted dietary modifications could serve as a localized strategy for PMDs prevention.
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Affiliation(s)
- Xinyi Shi
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Min Chen
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
| | - Qing Pan
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
| | - Jing Zhou
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yuqing Liu
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Tingting Jiang
- Youth League Committee (Youth Work Department, Medical and Social Work Office), West China Hospital, Sichuan University, Chengdu, China
| | - Yifei Lin
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
| | - Jin Huang
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
| | - Xi Shen
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Donghao Lu
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yuchen Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
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Tesfaye M, Jaholkowski P, Shadrin AA, van der Meer D, Hindley GF, Holen B, Parker N, Parekh P, Birkenæs V, Rahman Z, Bahrami S, Kutrolli G, Frei O, Djurovic S, Dale AM, Smeland OB, O’Connell KS, Andreassen OA. Identification of Novel Genomic Loci for Anxiety and Extensive Genetic Overlap with Psychiatric Disorders. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.09.01.23294920. [PMID: 37693403 PMCID: PMC10491354 DOI: 10.1101/2023.09.01.23294920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Background Anxiety disorders are prevalent and anxiety symptoms co-occur with many psychiatric disorders. We aimed to identify genomic risk loci associated with anxiety, characterize its genetic architecture, and genetic overlap with psychiatric disorders. Methods We used the GWAS of anxiety symptoms, schizophrenia, bipolar disorder, major depression, and attention deficit hyperactivity disorder (ADHD). We employed MiXeR and LAVA to characterize the genetic architecture and genetic overlap between the phenotypes. Conditional and conjunctional false discovery rate analyses were performed to boost the identification of genomic loci associated with anxiety and those shared with psychiatric disorders. Gene annotation and gene set analyses were conducted using OpenTargets and FUMA, respectively. Results Anxiety was polygenic with 12.9k estimated genetic risk variants and overlapped extensively with psychiatric disorders (4.1-11.4k variants). MiXeR and LAVA revealed predominantly positive genetic correlations between anxiety and psychiatric disorders. We identified 114 novel loci for anxiety by conditioning on the psychiatric disorders. We also identified loci shared between anxiety and major depression (n = 47), bipolar disorder (n = 33), schizophrenia (n = 71), and ADHD (n = 20). Genes annotated to anxiety loci exhibit enrichment for a broader range of biological pathways and differential tissue expression in more diverse tissues than those annotated to the shared loci. Conclusions Anxiety is a highly polygenic phenotype with extensive genetic overlap with psychiatric disorders. These genetic overlaps enabled the identification of novel loci for anxiety. The shared genetic architecture may underlie the extensive cross-disorder comorbidity of anxiety, and the identified genetic loci implicate molecular pathways that may lead to potential drug targets.
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Affiliation(s)
- Markos Tesfaye
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Piotr Jaholkowski
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alexey A. Shadrin
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Dennis van der Meer
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Guy F.L. Hindley
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Børge Holen
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nadine Parker
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Pravesh Parekh
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Viktoria Birkenæs
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Zillur Rahman
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Shahram Bahrami
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gleda Kutrolli
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Oleksandr Frei
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Srdjan Djurovic
- Department of Clinical Science, University of Bergen, Bergen, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Anders M. Dale
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
- Multimodal Imaging Laboratory, University of California San Diego, La Jolla, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Olav B. Smeland
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kevin S. O’Connell
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A. Andreassen
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
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Xia D, Han X, Zeng Y, Wang J, Xu K, Zhang T, Jiang Y, Chen X, Song H, Suo C. Disease trajectory of high neuroticism and the relevance to psychiatric disorders: A retro-prospective cohort study. Acta Psychiatr Scand 2024; 149:133-146. [PMID: 38057974 DOI: 10.1111/acps.13645] [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: 09/18/2023] [Revised: 11/06/2023] [Accepted: 11/23/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Neuroticism is a psychological personality trait that has a significant impact on public health and is also a potential predisposing factor for adverse disease outcomes; however, comprehensive studies of the subsequently developed conditions are lacking. The starting point of disease trajectory in terms of genetic variation remains unclear. METHOD Our study included 344,609 adult participants from the UK Biobank cohort who were virtually followed up from January 1, 1997. Neuroticism levels were assessed using 12 items from the Eysenck Personality Questionnaire. We performed a phenome-wide association analysis of neuroticism and subsequent diseases. Binomial tests and logistic regression models were used to test the temporal directionality and association between disease pairs to construct disease trajectories. We also investigated the association between polygenic risk scores (PRSs) for five psychiatric traits and high neuroticism. RESULTS The risk for 59 diseases was significantly associated with high neuroticism. Depression, anxiety, irritable bowel syndrome, migraine, spondylosis, and sleep disorders were the most likely to develop, with hazard ratios of 6.13, 3.66, 2.28, 1.74, 1.74, and 1.71, respectively. The disease trajectory network revealed two major disease clusters: cardiometabolic and chronic inflammatory diseases. Medium/high genetic risk groups stratified by the PRSs of four psychiatric traits were associated with an elevated risk of high neuroticism. We further identified eight complete phenotypic trajectory clusters of medium or high genetic risk for psychotic, anxiety-, depression-, and stress-related disorders. CONCLUSION Neuroticism plays an important role in the development of somatic and mental disorders. The full picture of disease trajectories from the genetic risk of psychiatric traits and neuroticism in early life to a series of diseases later provides evidence for future research to explore the etiological mechanisms and precision management.
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Affiliation(s)
- Ding Xia
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Xin Han
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yu Zeng
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jingru Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Kelin Xu
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Yanfeng Jiang
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Xingdong Chen
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Huan Song
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Chen Suo
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
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Tesli N, Jaholkowski P, Haukvik UK, Jangmo A, Haram M, Rokicki J, Friestad C, Tielbeek JJ, Næss Ø, Skardhamar T, Gustavson K, Ask H, Fazel S, Tesli M, Andreassen OA. Conduct disorder - a comprehensive exploration of comorbidity patterns, genetic and environmental risk factors. Psychiatry Res 2024; 331:115628. [PMID: 38029627 DOI: 10.1016/j.psychres.2023.115628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 11/17/2023] [Accepted: 11/24/2023] [Indexed: 12/01/2023]
Abstract
Conduct disorder (CD), a common mental disorder in children and adolescents, is characterized by antisocial behavior. Despite similarities with antisocial personality disorder (ASPD) and possible diagnostic continuity, CD has been shown to precede a range of adult-onset mental disorders. Additionally, little is known about the putative shared genetic liability between CD and adult-onset mental disorders and the underlying gene-environment interplay. Here, we interrogated comorbidity between CD and other mental disorders from the Norwegian Mother, Father and Child Cohort Study (n = 114 500) and investigated how polygenic risk scores (PRS) for mental health traits were associated with CD/CD traits in childhood and adolescence. Gene-environment interplay patterns for CD was explored with data on bullying and parental education. We found CD to be comorbid with several child and adult-onset mental disorders. This phenotypic overlap corresponded with associations between PRS for mental disorders and CD. Additionally, our findings support an additive gene-environment model. Previously conceptualized as a precursor of ASPD, we found that CD was associated with polygenic risk for several child- and adult-onset mental disorders. High comorbidity of CD with other psychiatric disorders reflected on the genetic level should inform research studies, diagnostic assessments and clinical follow-up of this heterogenous group.
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Affiliation(s)
- Natalia Tesli
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Oslo University Hospital, Oslo, Norway; Centre of Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway.
| | - Piotr Jaholkowski
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Oslo University Hospital, Oslo, Norway
| | - Unn K Haukvik
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Oslo University Hospital, Oslo, Norway; Centre of Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Andreas Jangmo
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Marit Haram
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Jaroslav Rokicki
- Centre of Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Christine Friestad
- Centre of Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway; University College of Norwegian Correctional Service, Oslo, Norway
| | - Jorim J Tielbeek
- Center for Neurogenomics and Cognitive Research, Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Øyvind Næss
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway; Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Torbjørn Skardhamar
- Department of Sociology and Human Geography, University of Oslo, Oslo, Norway
| | - Kristin Gustavson
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Helga Ask
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Seena Fazel
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, United Kingdom
| | - Martin Tesli
- Centre of Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway; Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo & Oslo University Hospital, Oslo, Norway
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Ramaiyer M, Lulseged B, Michel R, Ali F, Liang J, Borahay MA. Menstruation in the USA. CURR EPIDEMIOL REP 2023; 10:186-195. [PMID: 38275000 PMCID: PMC10810236 DOI: 10.1007/s40471-023-00333-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/05/2023] [Indexed: 01/27/2024]
Abstract
Purpose of review Menstruation touches all spheres of human society, including psychology, education, business, policy, race, and religion. This narrative review aims to describe the relationship menstruation holds with these spaces. Recent findings First, menstruation plays many roles in psychology - premenstrual syndrome affects psychological wellbeing and in turn, psychological stress impacts menstruation. Functional hypothalamic amenorrhea can result when stress hormones inhibit the Hypothalamus-Pituitary-Ovarian axis. Furthermore, menstruation has many implications for all aged individuals, especially adolescents and those who are menopausal. These implications underscore the importance of proper education surrounding menstruation, which can be achieved via social media, school systems, family, and clinicians. However, menstrual health education is highly variable depending on the state and family that someone is raised in. Additionally, menstruation can pose a financial burden as menstrual products can be expensive and access to these products is limited for those who are homeless, incarcerated, and low-income. Recent public policy measures in various states have aimed to achieve "menstrual equity," by requiring public schools to supply free menstrual products in bathrooms. Furthermore, racial disparities exist with menstrual disorders. Uterine fibroids occur more frequently in Black menstruators compared to White menstruators, and Black women experience worse outcomes overall with fibroids and endometriosis management. Finally, analysis of religion and its relationship to menstruation underscores the immense stigma and "impurity" associated with menstruation. Summary Overall, this review highlights the universality of menstruation in society. As a "fifth vital sign", there is significant room for improvement in terms of education, research, and cultural acceptance of menstruation. Future research should explore interventions to reduce these gaps.
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Affiliation(s)
| | | | | | - Fiza Ali
- Johns Hopkins University, Krieger School of Arts and Sciences, Baltimore, MD
| | - Jinxiao Liang
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore MD
| | - Mostafa A. Borahay
- Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, MD
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Jaholkowski P, Haram M, Andreassen OA. Etiologic Studies of Premenstrual Disorders Require Prospective Confirmation of Affective Cyclicity-Reply. JAMA Psychiatry 2023; 80:1175-1176. [PMID: 37703043 DOI: 10.1001/jamapsychiatry.2023.3290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Affiliation(s)
- Piotr Jaholkowski
- NORMENT, Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Marit Haram
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
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Di Florio A, Apsey C, Eisenlohr-Moul TA. Etiologic Studies of Premenstrual Disorders Require Prospective Confirmation of Affective Cyclicity. JAMA Psychiatry 2023; 80:1175. [PMID: 37703009 PMCID: PMC11003515 DOI: 10.1001/jamapsychiatry.2023.3287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
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