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Golovacheva VA, Golovacheva AA, Romanov DV, Volodarskaya EA. [Mental disorders, social and demographic characteristics of patients with chronic and episodic migraine]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:94-101. [PMID: 38261290 DOI: 10.17116/jnevro202412401194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
OBJECTIVE To compare socio-demographic, clinical and psychological characteristics and comorbid mental disorders in patients with chronic migraine (CM) and episodic migraine (EM). MATERIAL AND METHODS Eighty patients with migraine (40 with CM (16 men and 24 women, mean age 33.5±6.1 years) and 40 with EM (9 men and 31 women, mean age 31.4±5.7 years) were examined. All patients were interviewed and tested with psychometric methods. Socio-demographic and clinical-psychological characteristics were determined in all patients. The psychiatrist assessed the mental status of patients and diagnosed comorbid mental disorders according to the ICD-10 criteria. RESULTS Symptoms of depression, high levels of trait and state anxiety, and a tendency to emotional inadequacy of response were more common in CM patients than in EM patients (p<0.05). Mental disorders, predominantly of the anxiety-depressive spectrum, were more common in CM patients than EM patients (OR (95% CI)=2.54 (2.03 to 2.98, p<0.001). Seventy-five percent of CM patients had more than one psychiatric diagnosis, almost a quarter of CM patients had schizotypal disorder, which is significantly higher than in EM patients (OR (95% CI)=1.99; 1.03 to 2.42, p<0.001). There were more unmarried, single (without constant partner), unemployed, high-education patients in the CM group than in the EM group. The negative impact of headache on the daily activity of patients was significantly higher in the CM group than in the EM group (p<0.05). CONCLUSION Mental disorders and psychological features (anxiety, depression symptoms, a tendency to emotional inadequacy of response) are more common in CM patients than in EM patients. The presence of these factors may contribute to the chronification of migraine.
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Affiliation(s)
- V A Golovacheva
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - A A Golovacheva
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - D V Romanov
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
- Mental Health Research Center, Moscow, Russia
| | - E A Volodarskaya
- Vavilov Institute for the History of Science and Technology, Moscow, Russia
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ElGizy N, Khoweiled A, Khalil MA, Magdy R, Khalifa D. Migraine in bipolar disorder and schizophrenia: The hidden pain. Int J Psychiatry Med 2023; 58:605-616. [PMID: 37266918 DOI: 10.1177/00912174231178483] [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] [Indexed: 06/03/2023]
Abstract
OBJECTIVE This study examined the prevalence of comorbid migraine in patients with bipolar disorder and those with schizophrenia and also examined the association between migraine comorbidity and disease characteristics in both disorders. METHODS In this cross-sectional study, 150 patients with bipolar disorder and 150 with schizophrenia were evaluated for migraine diagnosis using the International Classification of Headache Disorders (3rd ed). Patients were selected from psychiatry outpatient clinics at Kasr Al Ainy hospitals, Cairo University. The Young Mania Rating Scale (YMRS) and the Hamilton Depression Rating Scale (HDRS) were administered to the bipolar group, whereas the Positive and Negative Syndrome Scale (PANSS) was administered to the schizophrenia group. Both groups were evaluated by the Clinical Global Impressions (CGI) scale. RESULTS The diagnosis of migraine was made in 34 (22.7%) of the bipolar group and 24 (16.0%) of the schizophrenia group. Patients with schizophrenia showed a significantly higher frequency and intensity of migraine attacks on the Migraine Disability Assessment scale than did the bipolar group (p < 0.001). In the bipolar group, there was no significant difference between patients with and without migraine on the YMRS, HDRS, and CGI. Among patients with schizophrenia, the duration of the migraine attacks was positively correlated with CGI scores (r = 0.40, p = 0.02). CONCLUSION Migraine was found to be a significant comorbidity in patients with bipolar disorder and schizophrenia. However, the intensity and frequency of migraine attacks were higher in the schizophrenia than in the bipolar group.
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Affiliation(s)
- Nancy ElGizy
- Department of Psychiatry, Students Hospital, Cairo University, Cairo, Egypt
| | - Aref Khoweiled
- Department of Psychiatry, Kasr Al Ainy Hospitals, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamed A Khalil
- Department of Psychiatry, Kasr Al Ainy Hospitals, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Rehab Magdy
- Department of Neurology, Kasr Al Ainy Hospitals, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Dalia Khalifa
- Department of Psychiatry, Kasr Al Ainy Hospitals, Faculty of Medicine, Cairo University, Cairo, Egypt
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Heywood SE, Connaughton J, Kinsella R, Black S, Bicchi N, Setchell J. Physical Therapy and Mental Health: A Scoping Review. Phys Ther 2022; 102:pzac102. [PMID: 35926073 DOI: 10.1093/ptj/pzac102] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/17/2021] [Accepted: 05/09/2022] [Indexed: 11/14/2022]
Abstract
OBJECTIVES Coexistence of mental and physical health conditions is prevalent. To achieve optimal physical therapy outcomes, neither should be treated in isolation. This review aimed to map intersections between physical therapy and mental health. METHODS This was a scoping review searching MEDLINE, CINAHL, PsycInfo, Cochrane, and PEDro databases. Two independent researchers screened studies of physical therapy practice with adolescents/adults with mental health disorders or research using primary mental health outcomes in physical health conditions or clinicians' perspective. Data were extracted on study type, participants, topics, publication year, and country. RESULTS The search yielded 3633 studies with 135 included. Five studies included adolescents. More than one-half were published since 2015. Studies specific to participants with mental health diagnoses included schizophrenia (n = 12), depressive disorders (n = 8), eating disorders (n = 6), anxiety disorders (n = 4), bipolar disorders (n = 1), somatic disorders (n = 5), and trauma and stressor-related disorders (n = 8) or varied mental health diagnoses (n = 14). Forty-one studies had primary mental health outcomes or clinical practice approaches with a mental health emphasis with participants with physical health conditions (musculoskeletal [n = 13], neurological [n = 7], other [n = 21]). Systematic reviews or randomized controlled trials predominantly involved exercise therapy and/or physical activity. Descriptions of physical therapists as participants (n = 35) included 4 main topics: (1) mental health screening; (2) knowledge, attitudes, and experiences; (3) key practice components; and (4) research priorities. CONCLUSION Physical therapy intersects with people experiencing mental health disorders across a broad spectrum of diagnoses, covering a range of interventions with a small but growing evidence base. IMPACT Exercise and physical activity studies dominated the highest levels of evidence and future focus, although economic evaluations and consumer-driven or patient experience studies are needed. There is a contrast between the confidence and knowledge of specialized physical therapists working within mental health settings and those in general practice settings. Inspiring, integrated education is required to further improve health care outcomes following physical therapy for people with mental health disorders or symptoms.
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Affiliation(s)
- Sophie E Heywood
- Physiotherapy Department, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Joanne Connaughton
- School of Physiotherapy, The University of Notre Dame, Fremantle, Western Australia, Australia
| | - Rita Kinsella
- Physiotherapy Department, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Susie Black
- Physiotherapy Department, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Nadia Bicchi
- Physiotherapy Department, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Jenny Setchell
- School of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Queensland, Australia
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Bahrami S, Hindley G, Winsvold BS, O’Connell KS, Frei O, Shadrin A, Cheng W, Bettella F, Rødevand L, Odegaard KJ, Fan CC, Pirinen MJ, Hautakangas HM, Dale AM, Djurovic S, Smeland OB, Andreassen OA. Dissecting the shared genetic basis of migraine and mental disorders using novel statistical tools. Brain 2022; 145:142-153. [PMID: 34273149 PMCID: PMC8967089 DOI: 10.1093/brain/awab267] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/18/2021] [Accepted: 06/21/2021] [Indexed: 11/24/2022] Open
Abstract
Migraine is three times more prevalent in people with bipolar disorder or depression. The relationship between schizophrenia and migraine is less certain although glutamatergic and serotonergic neurotransmission are implicated in both. A shared genetic basis to migraine and mental disorders has been suggested but previous studies have reported weak or non-significant genetic correlations and five shared risk loci. Using the largest samples to date and novel statistical tools, we aimed to determine the extent to which migraine's polygenic architecture overlaps with bipolar disorder, depression and schizophrenia beyond genetic correlation, and to identify shared genetic loci. Summary statistics from genome-wide association studies were acquired from large-scale consortia for migraine (n cases = 59 674; n controls = 316 078), bipolar disorder (n cases = 20 352; n controls = 31 358), depression (n cases = 170 756; n controls = 328 443) and schizophrenia (n cases = 40 675, n controls = 64 643). We applied the bivariate causal mixture model to estimate the number of disorder-influencing variants shared between migraine and each mental disorder, and the conditional/conjunctional false discovery rate method to identify shared loci. Loci were functionally characterized to provide biological insights. Univariate MiXeR analysis revealed that migraine was substantially less polygenic (2.8 K disorder-influencing variants) compared to mental disorders (8100-12 300 disorder-influencing variants). Bivariate analysis estimated that 800 (SD = 300), 2100 (SD = 100) and 2300 (SD = 300) variants were shared between bipolar disorder, depression and schizophrenia, respectively. There was also extensive overlap with intelligence (1800, SD = 300) and educational attainment (2100, SD = 300) but not height (1000, SD = 100). We next identified 14 loci jointly associated with migraine and depression and 36 loci jointly associated with migraine and schizophrenia, with evidence of consistent genetic effects in independent samples. No loci were associated with migraine and bipolar disorder. Functional annotation mapped 37 and 298 genes to migraine and each of depression and schizophrenia, respectively, including several novel putative migraine genes such as L3MBTL2, CACNB2 and SLC9B1. Gene-set analysis identified several putative gene sets enriched with mapped genes including transmembrane transport in migraine and schizophrenia. Most migraine-influencing variants were predicted to influence depression and schizophrenia, although a minority of mental disorder-influencing variants were shared with migraine due to the difference in polygenicity. Similar overlap with other brain-related phenotypes suggests this represents a pool of 'pleiotropic' variants that influence vulnerability to diverse brain-related disorders and traits. We also identified specific loci shared between migraine and each of depression and schizophrenia, implicating shared molecular mechanisms and highlighting candidate migraine genes for experimental validation.
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Affiliation(s)
- Shahram Bahrami
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Guy Hindley
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AB, UK
| | - Bendik Slagsvold Winsvold
- Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- KG Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kevin S O’Connell
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
- Center for Bioinformatics, Department of Informatics, University of Oslo, PO Box 1080, Blindern, 0316 Oslo, Norway
| | - Alexey Shadrin
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Weiqiu Cheng
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Francesco Bettella
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Linn Rødevand
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Ketil J Odegaard
- NORMENT, Division of Psychiatry, Haukeland University Hospital and Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway
| | - Chun C Fan
- Multimodal Imaging Laboratory, University of California San Diego, La Jolla, CA 92093, USA
- Department of Cognitive Science, University of California, San Diego, La Jolla, CA, USA
| | - Matti J Pirinen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, 00014 Helsinki, Finland
- Department of Public Health, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
- Department of Mathematics and Statistics, University of Helsinki, 00014 Helsinki, Finland
| | - Heidi M Hautakangas
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, 00014 Helsinki, Finland
| | - Anders M Dale
- Multimodal Imaging Laboratory, University of California San Diego, La Jolla, CA 92093, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Srdjan Djurovic
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT Centre, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Olav B Smeland
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407 Oslo, Norway
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