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Yu Y, Hou L, Wu Y, Yu Y, Liu X, Wu S, He Y, Ge Y, Wei Y, Qian F, Luo Q, Feng Y, Cheng X, Yu T, Li H, Xue F. Causal associations between female reproductive behaviors and psychiatric disorders: a lifecourse Mendelian randomization study. BMC Psychiatry 2023; 23:799. [PMID: 37915018 PMCID: PMC10621101 DOI: 10.1186/s12888-023-05203-y] [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: 05/11/2023] [Accepted: 09/18/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND The timings of reproductive life events have been examined to be associated with various psychiatric disorders. However, studies have not considered the causal pathways from reproductive behaviors to different psychiatric disorders. This study aimed to investigate the nature of the relationships between five reproductive behaviors and twelve psychiatric disorders. METHODS Firstly, we calculated genetic correlations between reproductive factors and psychiatric disorders. Then two-sample Mendelian randomization (MR) was conducted to estimate the causal associations among five reproductive behaviors, and these reproductive behaviors on twelve psychiatric disorders, using genome-wide association study (GWAS) summary data from genetic consortia. Multivariable MR was then applied to evaluate the direct effect of reproductive behaviors on these psychiatric disorders whilst accounting for other reproductive factors at different life periods. RESULTS Univariable MR analyses provide evidence that age at menarche, age at first sexual intercourse and age at first birth have effects on one (depression), seven (anxiety disorder, ADHD, bipolar disorder, bipolar disorder II, depression, PTSD and schizophrenia) and three psychiatric disorders (ADHD, depression and PTSD) (based on p<7.14×10-4), respectively. However, after performing multivariable MR, only age at first sexual intercourse has direct effects on five psychiatric disorders (Depression, Attention deficit or hyperactivity disorder, Bipolar disorder, Posttraumatic stress disorder and schizophrenia) when accounting for other reproductive behaviors with significant effects in univariable analyses. CONCLUSION Our findings suggest that reproductive behaviors predominantly exert their detrimental effects on psychiatric disorders and age at first sexual intercourse has direct effects on psychiatric disorders.
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Affiliation(s)
- Yifan Yu
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Lei Hou
- Beijing International Center for Mathematical Research, Peking University, Beijing, People's Republic of China
| | - Yutong Wu
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Yuanyuan Yu
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Xinhui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Sijia Wu
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Yina He
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Yilei Ge
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Yun Wei
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Fengtong Qian
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Qingxin Luo
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Yue Feng
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China
| | - Xiaojing Cheng
- Shandong Mental Health Center, Shandong Province, Jinan, China
| | - Tiangui Yu
- Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
| | - Hongkai Li
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China.
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
| | - Fuzhong Xue
- Department of Epidemiology and Health Statistics, School of Public Health, , Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, China.
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
- Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
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Zhan N, Sham PC, So HC, Lui SSY. The genetic basis of onset age in schizophrenia: evidence and models. Front Genet 2023; 14:1163361. [PMID: 37441552 PMCID: PMC10333597 DOI: 10.3389/fgene.2023.1163361] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/16/2023] [Indexed: 07/15/2023] Open
Abstract
Schizophrenia is a heritable neurocognitive disorder affecting about 1% of the population, and usually has an onset age at around 21-25 in males and 25-30 in females. Recent advances in genetics have helped to identify many common and rare variants for the liability to schizophrenia. Earlier evidence appeared to suggest that younger onset age is associated with higher genetic liability to schizophrenia. Clinical longitudinal research also found that early and very-early onset schizophrenia are associated with poor clinical, neurocognitive, and functional profiles. A recent study reported a heritability of 0.33 for schizophrenia onset age, but the genetic basis of this trait in schizophrenia remains elusive. In the pre-Genome-Wide Association Study (GWAS) era, genetic loci found to be associated with onset age were seldom replicated. In the post-Genome-Wide Association Study era, new conceptual frameworks are needed to clarify the role of onset age in genetic research in schizophrenia, and to identify its genetic basis. In this review, we first discussed the potential of onset age as a characterizing/subtyping feature for psychosis, and as an important phenotypic dimension of schizophrenia. Second, we reviewed the methods, samples, findings and limitations of previous genetic research on onset age in schizophrenia. Third, we discussed a potential conceptual framework for studying the genetic basis of onset age, as well as the concepts of susceptibility, modifier, and "mixed" genes. Fourth, we discussed the limitations of this review. Lastly, we discussed the potential clinical implications for genetic research of onset age of schizophrenia, and how future research can unveil the potential mechanisms for this trait.
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Affiliation(s)
- Na Zhan
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Pak C. Sham
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Centre of PanorOmic Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Hon-Cheong So
- School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Kunming Institute of Zoology and the Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, Shenzhen, China
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Hong Kong Branch of the Chinese Academy of Sciences Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Simon S. Y. Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
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3
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Kaiser RH, Moser AD, Neilson C, Peterson EC, Jones J, Hough CM, Rosenberg BM, Sandman CF, Schneck CD, Miklowitz DJ, Friedman NP. Mood Symptom Dimensions and Developmental Differences in Neurocognition in Adolescence. Clin Psychol Sci 2023; 11:308-325. [PMID: 37309523 PMCID: PMC10259862 DOI: 10.1177/21677026221111389] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Adolescence is critical period of neurocognitive development as well as increased prevalence of mood pathology. This cross-sectional study replicated developmental patterns of neurocognition and tested whether mood symptoms moderated developmental effects. Participants were 419 adolescents (n=246 with current mood disorders) who completed reward learning and executive functioning tasks, and reported on age, puberty, and mood symptoms. Structural equation modeling revealed a quadratic relationship between puberty and reward learning performance that was moderated by symptom severity: in early puberty, adolescents reporting higher manic symptoms exhibited heightened reward learning performance (better maximizing of rewards on learning tasks), whereas adolescents reporting elevated anhedonia showed blunted reward learning performance. Models also showed a linear relationship between age and executive functioning that was moderated by manic symptoms: adolescents reporting higher mania showed poorer executive functioning at older ages. Findings suggest neurocognitive development is altered in adolescents with mood pathology and suggest directions for longitudinal studies.
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Affiliation(s)
- Roselinde H Kaiser
- Department of Psychology and Neuroscience, University of Colorado Boulder
- Institute of Cognitive Science, University of Colorado Boulder
- Renée Crown Wellness Institute, University of Colorado Boulder
| | - Amelia D Moser
- Department of Psychology and Neuroscience, University of Colorado Boulder
- Institute of Cognitive Science, University of Colorado Boulder
| | - Chiara Neilson
- Department of Psychology and Neuroscience, University of Colorado Boulder
- Institute of Cognitive Science, University of Colorado Boulder
| | - Elena C Peterson
- Department of Psychology and Neuroscience, University of Colorado Boulder
| | - Jenna Jones
- Department of Psychology and Neuroscience, University of Colorado Boulder
- Institute of Cognitive Science, University of Colorado Boulder
| | | | | | | | | | | | - Naomi P Friedman
- Department of Psychology and Neuroscience, University of Colorado Boulder
- Institute of Cognitive Science, University of Colorado Boulder
- Institute of Behavioral Genetics, University of Colorado Boulder
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4
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Aragno E, Fagiolini A, Cuomo A, Paschetta E, Maina G, Rosso G. Impact of menstrual cycle events on bipolar disorder course: a narrative review of current evidence. Arch Womens Ment Health 2022; 25:257-266. [PMID: 35237876 DOI: 10.1007/s00737-022-01217-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 02/20/2022] [Indexed: 11/02/2022]
Abstract
Several lines of research suggest that reproductive-related hormonal events may affect the course of bipolar disorder in some women. However, data on associations between bipolar disorder and menarche, menstrual cycle, and menopause are mixed. This article reviews the literature on the potential effects of menarche, menstrual cycle, and menopause on bipolar disorder.A narrative review of published articles on bipolar disorder and menstrual cycle events was conducted. The primary outcome assessed was the impact of menarche, menstrual cycle and menopause on the course of bipolar illness. Databases searched were PubMed, Ovid, Scopus, PsycINFO, Medline, and Cochrane Libraries from inception to August 2021.Twenty-two studies were identified and included in the narrative synthesis. Research suggested that a subset of women with bipolar disorder are vulnerable to the impact of menstrual cycle events. Menarche seems to be associated with age at onset of bipolar illness especially in case of bipolar disorder type I and the specific age at menarche may predict some clinical features of the disorder. Menstrual cycle likely affects the course of bipolar disorder but the pattern of mood variability is not clear. Menopause appears to be not only a period of vulnerability to mood alteration, especially depressive episodes, and impairment of quality of life, but also a potential trigger of bipolar illness onset.The impact of menarche, menstrual cycle, and menopause on bipolar disorder is largely understudied. Preliminary evidence suggests that a subset of women with bipolar disorder may have their mood shifts affected by menstrual cycle events, with different patterns depending on the type of bipolar disorder also. Further researches are needed to deep the impact of menarche, menstrual cycle, and menopause on bipolar illness.
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Affiliation(s)
- Elena Aragno
- Department of Neurosciences "Rita Levi Montalcini", University of Torino, Turin, Italy
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Alessandro Cuomo
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | | | - Giuseppe Maina
- Department of Neurosciences "Rita Levi Montalcini", University of Torino, Turin, Italy.,Psychiatric Unit, San Luigi Gonzaga University Hospital, Orbassano, Torino, Italy
| | - Gianluca Rosso
- Department of Neurosciences "Rita Levi Montalcini", University of Torino, Turin, Italy. .,Psychiatric Unit, San Luigi Gonzaga University Hospital, Orbassano, Torino, Italy.
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5
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Dion-Albert L, Bandeira Binder L, Daigle B, Hong-Minh A, Lebel M, Menard C. Sex differences in the blood-brain barrier: Implications for mental health. Front Neuroendocrinol 2022; 65:100989. [PMID: 35271863 DOI: 10.1016/j.yfrne.2022.100989] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/07/2022] [Accepted: 02/19/2022] [Indexed: 12/13/2022]
Abstract
Prevalence of mental disorders, including major depressive disorder (MDD), bipolar disorder (BD) and schizophrenia (SZ) are increasing at alarming rates in our societies. Growing evidence points toward major sex differences in these conditions, and high rates of treatment resistance support the need to consider novel biological mechanisms outside of neuronal function to gain mechanistic insights that could lead to innovative therapies. Blood-brain barrier alterations have been reported in MDD, BD and SZ. Here, we provide an overview of sex-specific immune, endocrine, vascular and transcriptional-mediated changes that could affect neurovascular integrity and possibly contribute to the pathogenesis of mental disorders. We also identify pitfalls in current literature and highlight promising vascular biomarkers. Better understanding of how these adaptations can contribute to mental health status is essential not only in the context of MDD, BD and SZ but also cardiovascular diseases and stroke which are associated with higher prevalence of these conditions.
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Affiliation(s)
- Laurence Dion-Albert
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada
| | - Luisa Bandeira Binder
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada
| | - Beatrice Daigle
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada
| | - Amandine Hong-Minh
- Smurfit Institute of Genetics, Trinity College Dublin, Lincoln Place Gate, Dublin 2, Ireland
| | - Manon Lebel
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada
| | - Caroline Menard
- Department of Psychiatry and Neuroscience, Faculty of Medicine and CERVO Brain Research Center, Université Laval, Quebec City, Canada.
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Musial N, Ali Z, Grbevski J, Veerakumar A, Sharma P. Perimenopause and First-Onset Mood Disorders: A Closer Look. FOCUS: JOURNAL OF LIFE LONG LEARNING IN PSYCHIATRY 2021; 19:330-337. [PMID: 34690602 DOI: 10.1176/appi.focus.20200041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Perimenopause is often a time of social, emotional, and physical change. Various factors contribute to the development of mood disorders during this time. There is a known association among women with previous history of major depressive disorder or bipolar disorder and relapse during the menopausal transition. First-onset mood disorders during this time have been less studied. A literature review in PsycInfo Ovid of records pertaining to first-onset mood disorders during perimenopause showed that this multifactorial process involves hormonal fluctuations, with estrogen being a key player. In addition, vasomotor symptoms, previous negative life events, and socioeconomic status were found to contribute to first-onset mood disorders during perimenopause. Treatment options include established medication regimens for psychiatric conditions; however, hormone therapy also has proven beneficial for this patient population. Further research, particularly on bipolar disorder, is needed to develop a clear association between perimenopause and first-onset mood disorders.
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Affiliation(s)
- Natalie Musial
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, Ontario, Canada
| | - Zinnia Ali
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, Ontario, Canada
| | - Jennifer Grbevski
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, Ontario, Canada
| | - Ashan Veerakumar
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, Ontario, Canada
| | - Priya Sharma
- Department of Psychiatry, Schulich School of Medicine and Dentistry, London, Ontario, Canada
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7
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Psychiatric features and variable neurodevelopment outcome in four females with IQSEC2 spectrum disorder. J Genet 2020. [DOI: 10.1007/s12041-020-01204-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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8
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Brzezinski-Sinai NA, Brzezinski A. Schizophrenia and Sex Hormones: What Is the Link? Front Psychiatry 2020; 11:693. [PMID: 32760302 PMCID: PMC7373790 DOI: 10.3389/fpsyt.2020.00693] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 07/01/2020] [Indexed: 12/19/2022] Open
Abstract
The involvement of gonadal hormones in the pathogenesis of schizophrenia has long been suspected because the psychosis differs in women and men and the illness first makes its appearance shortly after puberty. Changes in sex hormones have been linked with increased vulnerability to mood disorders in women, while testosterone have been associated with increased sexual drive and aggressiveness in men as well as women. Some studies have found abnormal levels of estrogens and testosterone in schizophrenia patients, but the results have been inconsistent and sometimes attributed to the hyperprolactinemia effect of antipsychotics, which may interfere with sex hormones production. The purpose of this review is to present the current knowledge on the link between blood levels of sex-hormones in women during the various stages of the female reproductive life (i.e. puberty, menstrual cycle, pregnancy, contraception, and menopause) and the course of schizophrenia. We also attempt to optimize the clinical approach to women with schizophrenia at these different stages.
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Affiliation(s)
- Noa A Brzezinski-Sinai
- Department of Obstetrics and Gynecology, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel
| | - Amnon Brzezinski
- Departments of Obstetrics & Gynecology, Hadassah-Hebrew-University Medical Center, Jerusalem, Israel
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9
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Rosso G, Aragno E, Mehanović E, Di Salvo G, Maina G. Age at Menarche in Women With Bipolar Disorder: Correlation With Clinical Features and Peripartum Episodes. Front Psychiatry 2020; 11:00851. [PMID: 33033479 PMCID: PMC7509456 DOI: 10.3389/fpsyt.2020.00851] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 08/04/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is related to reproductive cycles. However, findings on putative correlation between age at menarche and course of BD are particularly scarce and conflicting. The aim of the present study is to analyze the relationship between age at menarche and characteristics of BD, including comorbid medical conditions and peripartum mood episodes. METHODS The study sample consists of 288 women with BD type I, II, or not otherwise specified (NOS). Age at menarche was both considered as a continuous variable and categorized into three groups: early menarche (≤11 years), normal menarche (12-14 years), and late menarche (≥15 years). The study focused on two sets of comparisons, by age at menarche and women with vs. without children. Spearman correlation matrix was produced to calculate correlations between the variables of interest. Socio-demographic and clinical characteristics between early, normal and late menarche, and women with vs. without children were examined through descriptive statistics. Finally, adjusted logistic regression analysis was run to examine the association between variables. RESULTS Out of 288 women included in the study, 21.5% had early menarche, 55.6% had normal, and 22.9% had late menarche. Women with early menarche had higher rates of metabolic syndrome compared to women with normal menarche even after adjustment for age. The subgroup of women with children does not present clinical differences compared to women without children except a lower rate of psychiatric comorbidities. At least one mood episode with peripartum onset occurred in 29.6% of the women with children. After controlling for confounding variables, women with late menarche were associated with lower probability of BD peripartum episodes compared to women with normal menarche. CONCLUSION Age at menarche may be related to specific characteristics of women with BD. The results deserve to be deepened in further studies.
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Affiliation(s)
- Gianluca Rosso
- Department of Neuroscience "Rita Levi Montalcini," University of Torino, Torino, Italy.,Psychiatric Unit, San Luigi Gonzaga University Hospital, Torino, Italy
| | - Elena Aragno
- Department of Neuroscience "Rita Levi Montalcini," University of Torino, Torino, Italy
| | - Emina Mehanović
- Department of Neuroscience "Rita Levi Montalcini," University of Torino, Torino, Italy
| | - Gabriele Di Salvo
- Department of Neuroscience "Rita Levi Montalcini," University of Torino, Torino, Italy
| | - Giuseppe Maina
- Department of Neuroscience "Rita Levi Montalcini," University of Torino, Torino, Italy.,Psychiatric Unit, San Luigi Gonzaga University Hospital, Torino, Italy
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10
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Yazici E, Yürümez E, Yazici AB, Gümüş YY, Erol A. Affective Temperaments in Parents of Children with Attention Deficit Hyperactivity Disorder. Noro Psikiyatr Ars 2017; 54:149-154. [PMID: 28680313 DOI: 10.5152/npa.2016.12693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Accepted: 04/22/2016] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION The objective of this study was to investigate affective temperaments of parents of children with ADHD and the relationship between ADHD and affective temperaments. METHODS The children diagnosed with ADHD were evaluated with a structured interview and the Turgay DSM-IV-Based Child and Adolescent Disruptive Behavioral Disorders Screening and Rating Scale (T-DSM-IV-S) was filled by parents. Then parents were evaluated by a structured clinical interview for DSM-IV (SCID-I), and those with no diagnosis of psychiatric disorder (in the past and at the time of the study) were included to the study. The Turkish version of the Temperament Evaluation of Memphis, Pisa, Paris and San Diego Auto-questionnaire was used to evaluate affective temperaments of parents. A control group of parents who has no children with ADHD was applied the same evaluation protocol. RESULTS The study was conducted with 123 parents (66 mothers, 57 fathers) of 66 children with ADHD and 119 control parents (65 mothers, 54 fathers) of 71 children without ADHD. Affective temperament scores of parents of children with ADHD were significantly higher than those of the control group. When the scores of mothers and fathers were compared separately, mothers had higher scores in all temperaments except hyperthymic temperament, and fathers had higher scores in all temperaments except anxious temperament in the ADHD group. Additionally, the T-DSM-IV-S attention deficit and hyperactivity/impulsivity scores of children were moderately correlated with most of the affective temperaments scores of their parents. CONCLUSION There is a relationship between ADHD and affective temperaments. Further studies are needed to understand the etiology, strength, and nature of this relationship.
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Affiliation(s)
- Esra Yazici
- Department of Psychiatry, Sakarya University School of Medicine, Sakarya, Turkey
| | - Esra Yürümez
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Ufuk University School of Medicine, Ankara, Turkey
| | - Ahmet Bülent Yazici
- Department of Psychiatry, Sakarya University Training and Research Hospital, Sakarya, Turkey
| | - Yusuf Yasin Gümüş
- Department of Psychiatry, Derince Training and Research Hospital, Kocaeli, Turkey
| | - Atila Erol
- Department of Psychiatry, Sakarya University School of Medicine, Sakarya, Turkey
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11
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Tondo L, Pinna M, Serra G, De Chiara L, Baldessarini RJ. Age at menarche predicts age at onset of major affective and anxiety disorders. Eur Psychiatry 2016; 39:80-85. [PMID: 27992810 DOI: 10.1016/j.eurpsy.2016.08.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Revised: 07/31/2016] [Accepted: 08/01/2016] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Menarche age has been associated inconsistently with the occurrence, timing or severity of major depressive disorder (MDD), but rarely studied in women with bipolar (BDs) or anxiety disorders. METHODS We investigated women patients at a Sardinian mood disorder center for associations of age at menarche with age at illness onset for major affective or anxiety disorders, year of birth, and other selected factors, using bivariate comparisons and multivariate regression modeling. RESULTS Among women (n=1139) with DSM-IV MDD (n=557), BD-I (n=223), BD-II (n=178), or anxiety disorders (n=181), born in 1904-1998, of mean age 42.9 years, menarche age averaged 12.8 [CI: 12.7-12.9] years. Illness onset age averaged 30.9 [30.1-31.8] years, ranking: BD-I, 25.8; anxiety disorders, 28.0; BD-II, 30.3; MDD, 34.1 years. Menarche age declined secularly over birth years, and was associated with younger illness-onset, having no or fewer siblings, more psychiatrically ill first-degree relatives, living in rural environments, being suicidal, substance abuse, and being unemployed. Earlier menarche and earlier illness-onset were significantly associated for onset age groups of ≤ 20, 20-39, and > 40 years. Menarche age versus diagnosis ranked: BD-II<BD-I<anxiety disorders<MDD. CONCLUSIONS Age at menarche in Sardinia, as elsewhere, has declined over the past decades. It was strongly associated with age at onset of bipolar and anxiety, as well as major depressive disorders across the age range, suggesting sustained effects of biological maturational factors.
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Affiliation(s)
- L Tondo
- International Consortium for Psychotic & Mood Disorders Research, Mailman Research Center, McLean Hospital, Belmont, MA, USA; Lucio Bini Mood Disorder Centers, Cagliari and Rome, Italy.
| | - M Pinna
- Lucio Bini Mood Disorder Centers, Cagliari and Rome, Italy
| | - G Serra
- International Consortium for Psychotic & Mood Disorders Research, Mailman Research Center, McLean Hospital, Belmont, MA, USA; NESMOS Department of Psychiatry, Faculty of Medicine, University (Sapienza) of Rome, Rome, Italy; Child Neuropsychiatry Unit, Department of Neuroscience, IRCCS Children Hospital Bambino Gesù, Rome, Italy
| | - L De Chiara
- NESMOS Department of Psychiatry, Faculty of Medicine, University (Sapienza) of Rome, Rome, Italy
| | - R J Baldessarini
- International Consortium for Psychotic & Mood Disorders Research, Mailman Research Center, McLean Hospital, Belmont, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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Abstract
AIM There are many studies on the mood disorders that occur during pregnancy, but no studies that question how affective temperaments, which are the antecedents of the mood disorders, are influenced by pregnancy. This study aims to examine the affective temperaments in women without any psychiatric diagnoses during the pregnancy period. METHOD The study included 100 pregnant women at the third trimester of their pregnancy (pregnant group) and 75 non-pregnant women (control group). Structured Clinical Interview for DSM Axis-I Disorders (SCID-I) was used for the evaluation of psychiatric disorders; Temperament Evaluation of Memphis, Pisa, Paris and San Diego Auto-questionnaire (TEMPS-A) was used for the evaluation of affective temperaments. RESULTS The cyclothymic, irritable and anxious temperament scores of the pregnant women were significantly lower than that of the non-pregnant women (p < 0.05). Pregnancy predicted lower scores of cyclothymic, irritable and anxious temperaments. Younger age and lower levels of education were predictors of higher cyclothymic, anxious and depressive temperament scores. Younger age also predicted higher irritable temperament scores. CONCLUSION The third trimester of pregnancy is associated with significantly lower affective temperament. Future studies may help to understand the biological background of the present findings.
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Affiliation(s)
- Esra Yazici
- a Department of Psychiatry Medical Faculty, Sakarya University Training and Research Hospital Turkey
| | - Hasan Terzi
- b Derince Training and Research Hospital Kocaeli Turkey
| | | | - Ahmet Bulent Yazici
- a Department of Psychiatry Medical Faculty, Sakarya University Training and Research Hospital Turkey
| | | | - Ahmet Kale
- b Derince Training and Research Hospital Kocaeli Turkey
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