801
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Moreno-Amador B, Cervin M, Falcó R, Marzo JC, Piqueras JA. Body-dysmorphic, hoarding, hair-pulling, and skin-picking symptoms in a large sample of adolescents. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03477-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AbstractFew studies have investigated body-dysmorphic, hoarding, hair-pulling, and skin-picking symptoms in adolescents and how they relate to mental health, quality of life, suicide attempts, and non-suicidal self-harm. We used a quota sampling procedure and contacted 100 secondary centres in the Southeast of Spain, of which 34 participated in the study. A sample of 5,345 adolescents (12–18 years) completed dimensional measures of body-dysmorphic, hoarding, hair-pulling, and skin-picking symptoms. The proportion of adolescents with clinically significant symptoms within each symptom type was estimated and associations with other indicators of mental health examined. Clinically significant body-dysmorphic symptoms were reported by 3.7%, hoarding by 0.9%, hair-pulling by 0.7%, and skin-picking by 1.8%. Body-dysmorphic symptoms were more common in girls and in those over 14 years of age. Body-dysmorphic, hoarding, hair-pulling, and skin-picking symptoms were moderately to strongly associated with obsessive-compulsive symptoms, internalizing symptoms, externalizing symptoms, and poor quality of life. Those with significant body-dysmorphic, hoarding, hair-pulling, and skin-picking symptoms were much more likely to have attempted suicide and engaged in non-suicidal self-harm during the last twelve months than those without such symptoms. Body-dysmorphic symptoms showed the strongest associations with internalizing symptoms and poor quality of life. Limitations are the sole use of self-report and a sample from only two regions in Spain, but findings suggest that body-dysmorphic, hoarding, hair-pulling, and skin-picking symptoms are common and impairing during adolescence.
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802
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Blagburn-Blanco SV, Chappell MS, De Biase LM, DeNardo LA. Synapse-specific roles for microglia in development: New horizons in the prefrontal cortex. Front Mol Neurosci 2022; 15:965756. [PMID: 36003220 PMCID: PMC9394540 DOI: 10.3389/fnmol.2022.965756] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 07/13/2022] [Indexed: 11/19/2022] Open
Abstract
Dysfunction of both microglia and circuitry in the medial prefrontal cortex (mPFC) have been implicated in numerous neuropsychiatric disorders, but how microglia affect mPFC development in health and disease is not well understood. mPFC circuits undergo a prolonged maturation after birth that is driven by molecular programs and activity-dependent processes. Though this extended development is crucial to acquire mature cognitive abilities, it likely renders mPFC circuitry more susceptible to disruption by genetic and environmental insults that increase the risk of developing mental health disorders. Recent work suggests that microglia directly influence mPFC circuit maturation, though the biological factors underlying this observation remain unclear. In this review, we discuss these recent findings along with new studies on the cellular mechanisms by which microglia shape sensory circuits during postnatal development. We focus on the molecular pathways through which glial cells and immune signals regulate synaptogenesis and activity-dependent synaptic refinement. We further highlight how disruptions in these pathways are implicated in the pathogenesis of neurodevelopmental and psychiatric disorders associated with mPFC dysfunction, including schizophrenia and autism spectrum disorder (ASD). Using these disorders as a framework, we discuss microglial mechanisms that could link environmental risk factors including infections and stress with ongoing genetic programs to aberrantly shape mPFC circuitry.
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Affiliation(s)
- Sara V. Blagburn-Blanco
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, United States
- Medical Scientist Training Program, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Physiology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Megan S. Chappell
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Physiology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Lindsay M. De Biase
- Department of Physiology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Laura A. DeNardo
- Department of Physiology, University of California, Los Angeles, Los Angeles, CA, United States
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803
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Cefai C, Camilleri L, Bartolo P, Grazzani I, Cavioni V, Conte E, Ornaghi V, Agliati A, Gandellini S, Tatalovic Vorkapic S, Poulou M, Martinsone B, Stokenberga I, Simões C, Santos M, Colomeischi AA. The effectiveness of a school-based, universal mental health programme in six European countries. Front Psychol 2022; 13:925614. [PMID: 36003110 PMCID: PMC9393716 DOI: 10.3389/fpsyg.2022.925614] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/04/2022] [Indexed: 01/05/2023] Open
Abstract
As children and young people today face ever increasing social, emotional and mental health challenges, schools, as one of the primary systems in children's lives, are called to broaden their agenda and help to address these challenges. This paper discusses the evaluation of a school-based, universal mental health promotion programme developed recently for the European context. The programme provides a universal curriculum from early years to high school, aiming to promote social and emotional learning and resilience and prevent social, emotional, and behavioural problems in children and adolescents. A total of 7,789 students (and their teachers and parents) from kindergarten to high school across 6 countries in Europe were recruited from 434 classrooms in 124 schools, making use of cluster sampling. A quasi-experimental longitudinal design was used to evaluate the effectiveness of the programme on students' outcomes by comparing the groups' outcomes within times (pre-test vs. post-test) and between groups (experimental vs. control group). A total of 779 classroom teachers completed pre-and-post scales measuring students' social and emotional learning, mental health and academic achievement. Results indicate that the experimental group had significantly larger increase in social and emotional competence and prosocial behaviour, and a decrease in mental health issues (externalising and internalising problems). No significant impact was found for academic outcomes. The findings are discussed in view of the limitations of the study and areas for further research.
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Affiliation(s)
- Carmel Cefai
- Department of Psychology, Centre for Resilience and Socio-Emotional Health, University of Malta, Msida, Malta
| | - Liberato Camilleri
- Department of Statistics and Operations Research, University of Malta, Msida, Malta
| | - Paul Bartolo
- Department of Psychology, University of Malta, Msida, Malta
| | - Ilaria Grazzani
- “R. Massa” Department of Human Sciences for Education, University of Milano-Bicocca, Milan, Italy
| | - Valeria Cavioni
- “R. Massa” Department of Human Sciences for Education, University of Milano-Bicocca, Milan, Italy
| | - Elisabetta Conte
- “R. Massa” Department of Human Sciences for Education, University of Milano-Bicocca, Milan, Italy
| | - Veronica Ornaghi
- “R. Massa” Department of Human Sciences for Education, University of Milano-Bicocca, Milan, Italy
| | - Alessia Agliati
- “R. Massa” Department of Human Sciences for Education, University of Milano-Bicocca, Milan, Italy
| | - Sabina Gandellini
- “R. Massa” Department of Human Sciences for Education, University of Milano-Bicocca, Milan, Italy
| | | | - Maria Poulou
- Department of Educational Sciences and Early Childhood Education, University of Patras, Patras, Greece
| | | | | | - Celeste Simões
- Department of Education, Social Sciences and Humanities, University of Lisbon, Lisbon, Portugal
| | - Margarida Santos
- Department of Education, Social Sciences and Humanities, University of Lisbon, Lisbon, Portugal
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804
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Effectiveness of a Comprehensive Mental Health Literacy Educational Programme for Junior High School Students: A Randomised Controlled Trial Examining Changes in Their Knowledge, Attitudes, and Behaviour. J Pers Med 2022; 12:jpm12081281. [PMID: 36013230 PMCID: PMC9410060 DOI: 10.3390/jpm12081281] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/24/2022] [Accepted: 08/02/2022] [Indexed: 12/22/2022] Open
Abstract
Background: This study evaluated the effectiveness of a comprehensive mental health literacy (MHL) educational programme known as “Sanita” for improving junior high school students’ knowledge of mental illness, attitudes towards people with mental health problems, and help-seeking behaviour. Methods: A randomised controlled trial with a parallel-group design was conducted. A total of 125 students (51 in the intervention group and 74 in the control group) received three 50-min classes and completed self-report questionnaires (Mental Illness and Disorder Understanding Scale, MIDUS; Reported and Intended Behaviour Scale, RIBS-J; and an original questionnaire investigating help-seeking behaviour) before and after the programme and three months later. Results: Regarding MIDUS, the post-test and 3-month follow-up test results showed a significant main effect of time-by-group interactions in a linear mixed model. Regarding RIBS-J, the post-test results showed a significant main effect of time-by-group interactions; however, the 3-month follow-up test showed no significant effect. No significant effects of time-by-group interactions were seen in the post-test and 3-month follow-up test results for help-seeking behaviour in a logistic regression-mixed model. Conclusions: The Sanita MHL educational programme was longitudinally effective at improving junior high school students’ knowledge of mental illness, although improvements in attitudes and help-seeking behaviour were insufficient.
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805
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Sato T. Interventions for Co-occurring Cannabis Use and Depression. Cureus 2022; 14:e27632. [PMID: 36072196 PMCID: PMC9438295 DOI: 10.7759/cureus.27632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2022] [Indexed: 11/23/2022] Open
Abstract
This review aimed to investigate the effective intervention options for depression in patients with a history of cannabis use. The study eligibility criteria were as follows: English-language, peer-reviewed human studies; data not previously reported elsewhere; randomized controlled trials, non-randomized trials comparing an intervention group and a control group, and single-group trials. In total, eight studies of interventions for patients with depression who reported cannabis use were identified. Four studies evaluated the effectiveness of the following three pharmacological interventions: extended quetiapine release, extended venlafaxine release, and fluoxetine. However, all studies failed to demonstrate the effectiveness of these drugs. Four studies evaluated the following psychological interventions: motivational interviewing (MI) and cognitive behavior therapy (CBT). These studies found that CBT may improve depression symptoms and cannabis dependence, and MI was associated with improvements in cannabis dependence. CBT and MI may be effective in improving depression and reducing cannabis use. However, the conclusions of this review are limited because of the small number of studies and their low quality. Higher-quality research is required to evaluate the effectiveness of CBT, MI, and other interventions for comorbid cannabis use and depression.
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806
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Ojala M. How do children, adolescents, and young adults relate to climate change? Implications for developmental psychology. EUROPEAN JOURNAL OF DEVELOPMENTAL PSYCHOLOGY 2022. [DOI: 10.1080/17405629.2022.2108396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Maria Ojala
- School of Law, Psychology, and Social Work, Department of Psychology, Örebro University, Örebro, Sweden
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807
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Kjellenberg K, Ekblom O, Ahlen J, Helgadóttir B, Nyberg G. Cross-sectional associations between physical activity pattern, sports participation, screen time and mental health in Swedish adolescents. BMJ Open 2022; 12:e061929. [PMID: 35918121 PMCID: PMC9351317 DOI: 10.1136/bmjopen-2022-061929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES To investigate the associations between physical activity pattern, sports participation, screen time and mental health in Swedish adolescents. DESIGN, SETTING AND PARTICIPANTS A total of 1139 Swedish adolescents (mean age 13.4) from 34 schools participated in the cross-sectional study 'Physical Activity for Healthy Brain Functions in School Youth' in 2019. METHODS Time spent sedentary and in moderate-to-vigorous physical activity (MVPA) was measured using accelerometers for seven consecutive days. Screen time and sports participation were self-reported. Anxiety and health-related quality of life (HRQoL) were assessed using a Short version of the Spence Children's Anxiety Scale and Kidscreen-10. RESULTS MVPA was positively associated (95% CI 0.01 to 0.05 in girls and 0.02 to 0.07 in boys) whereas screen time on weekdays was inversely associated with HRQoL (-4.79 to -2.22 in girls and -2.66 to -0.41 in boys). The largest effect sizes were observed between the high/low MVPA group in boys (Cohen's d=0.51) and screen time groups in girls (Cohen's d=0.59 on weekdays). With regards to anxiety, high compared with lower time spent in MVPA during leisure time on weekdays was associated with lower anxiety scores (95% CI -0.13 to -0.05 in girls and -0.07 to -0.01 in boys). Gender differences were observed, boys who participated in organised sports had low anxiety scores (95% CI -3.49 to -0.13) whereas girls who reported 5 hours or more of screen time had high scores (95% CI 1.94 to 6.18 on weekdays and 1.39 to 5.29 on weekend days). CONCLUSIONS This study showed that MVPA was associated with better mental health, whereas the opposite was seen for screen time. These associations were not consistently significant throughout all time domains, between the genders and mental health outcomes. Our results could create a paradigm for future studies to decide which types of PA patterns and time domains to target in intervention studies with the aim improve mental health among adolescents.
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Affiliation(s)
- Karin Kjellenberg
- Physical Activity and Health, Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden
| | - Orjan Ekblom
- Physical Activity and Health, Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden
| | - Johan Ahlen
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Björg Helgadóttir
- Physical Activity and Health, Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Gisela Nyberg
- Physical Activity and Health, Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
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808
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Decoding of Processing Preferences from Language Paradigms by Means of EEG-ERP Methodology: Risk Markers of Cognitive Vulnerability for Depression and Protective Indicators of Well-Being? Cerebral Correlates and Mechanisms. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12157740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Depression is a frequent mental affective disorder. Cognitive vulnerability models propose two major cognitive risk factors that favor the onset and severity of depressive symptoms. These include a pronounced self-focus, as well as a negative emotional processing bias. According to two-process models of cognitive vulnerability, these two risk factors are not independent from each other, but affect information processing already at an early perceptual processing level. Simultaneously, a processing advantage for self-related positive information including better memory for positive than negative information has been associated with mental health and well-being. This perspective paper introduces a research framework that discusses how EEG-ERP methodology can serve as a standardized tool for the decoding of negative and positive processing biases and their potential use as risk markers of cognitive vulnerability for depression, on the one hand, and as protective indicators of well-being, on the other hand. Previous results from EEG-ERP studies investigating the time-course of self-referential emotional processing are introduced, summarized, and discussed with respect to the specificity of depression-related processing and the importance of EEG-ERP-based experimental testing for well-being and the prevention and treatment of depressive disorders.
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809
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Denissoff A, Mustonen A, Alakokkare A, Scott JG, Sami MB, Miettunen J, Niemelä S. Is early exposure to cannabis associated with bipolar disorder? Results from a Finnish birth cohort study. Addiction 2022; 117:2264-2272. [PMID: 35315149 PMCID: PMC9545505 DOI: 10.1111/add.15881] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 03/08/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND AIMS There are few longitudinal studies assessing the association of cannabis use and subsequent onset of bipolar disorder. We aimed to measure the association between early cannabis exposure and subsequent bipolar disorder. DESIGN, SETTING AND PARTICIPANTS Observational study linking a sample from the northern Finland birth cohort 1986 (n = 6325) to nation-wide register data to examine the association of life-time cannabis exposure at age 15/16 years and subsequent bipolar disorder until age 33 (until the end of 2018); 6325 individuals (48.8% males) were included in the analysis. MEASUREMENTS Cannabis exposure was measured via self-report. Bipolar disorder was measured via bipolar disorder-related diagnostic codes (ICD-10: F30.xx, F31.xx) collected from the Care Register for Health Care 2001-18, the Register of Primary Health Care Visits 2011-18, the medication reimbursement register of the Social Insurance Institution of Finland 2001-05 and the disability pensions of the Finnish Center for Pensions 2001-16. Potential confounders included demographic characteristics, parental psychiatric disorders, emotional and behavioral problems and other substance use. FINDINGS Three hundred and fifty-two adolescents (5.6%) reported any cannabis use until the age of 15-16 years. Of the whole sample, 66 (1.0%) were diagnosed with bipolar disorder. Adolescent cannabis use was associated with bipolar disorder [hazard ratio (HR) = 3.46; 95% confidence interval (CI) = 1.81-6.61]. This association remained statistically significant after adjusting for sex, family structure and parental psychiatric disorders (HR = 3.00; 95% CI = 1.47-6.13) and after further adjusting for adolescent emotional and behavioral problems (HR = 2.34; 95% CI = 1.11-4.94). Further adjustments for frequent alcohol intoxications, daily smoking and lifetime illicit drug use attenuated the associations to statistically non-significant. CONCLUSIONS In Finland, the positive association between early cannabis exposure and subsequent development of bipolar disorder appears to be confounded by other substance use.
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Affiliation(s)
- Alexander Denissoff
- Faculty of Medicine, Department of PsychiatryUniversity of TurkuTurkuFinland
- Addiction Psychiatry Unit, Department of PsychiatryTurku University HospitalTurkuFinland
| | - Antti Mustonen
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
- Department of PsychiatrySeinäjoki Central HospitalSeinäjokiFinland
| | - Anni‐Emilia Alakokkare
- Faculty of Medicine, Department of PsychiatryUniversity of TurkuTurkuFinland
- Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
| | - James G. Scott
- QIMR Berghofer Medical Research InstituteHerstonQldAustralia
- Metro North Mental Health ServiceHerstonQldAustralia
| | - Musa B. Sami
- Institute of Mental HealthUniversity of NottinghamNottinghamUK
- Nottinghamshire Healthcare TrustNottinghamUK
| | - Jouko Miettunen
- Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
- Center for Life Course Health ResearchUniversity of OuluOuluFinland
| | - Solja Niemelä
- Faculty of Medicine, Department of PsychiatryUniversity of TurkuTurkuFinland
- Addiction Psychiatry Unit, Department of PsychiatryTurku University HospitalTurkuFinland
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810
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Raznahan A, Won H, Glahn DC, Jacquemont S. Convergence and Divergence of Rare Genetic Disorders on Brain Phenotypes: A Review. JAMA Psychiatry 2022; 79:818-828. [PMID: 35767289 DOI: 10.1001/jamapsychiatry.2022.1450] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
IMPORTANCE Rare genetic disorders modulating gene expression-as exemplified by gene dosage disorders (GDDs)-represent a collectively common set of high-risk factors for neuropsychiatric illness. Research on GDDs is rapidly expanding because these variants have high effect sizes and a known genetic basis. Moreover, the prevalence of recurrent GDDs (encompassing aneuploidies and certain copy number variations) enables genetic-first phenotypic characterization of the same GDD across multiple individuals, thereby offering a unique window into genetic influences on the human brain and behavior. However, the rapid growth of GDD research has unveiled perplexing phenotypic convergences and divergences across genomic loci; while phenotypic profiles may be specifically associated with a genomic variant, individual behavioral and neuroimaging traits appear to be nonspecifically influenced by most GDDs. OBSERVATIONS This complexity is addressed by (1) providing an accessible survey of genotype-phenotype mappings across different GDDs, focusing on psychopathology, cognition, and brain anatomy, and (2) detailing both methodological and mechanistic sources for observed phenotypic convergences and divergences. This effort yields methodological recommendations for future comparative phenotypic research on GDDs as well as a set of new testable hypotheses regarding aspects of early brain patterning that might govern the complex mapping of genetic risk onto phenotypic variation in neuropsychiatric disorders. CONCLUSIONS AND RELEVANCE A roadmap is provided to boost accurate measurement and mechanistic interrogation of phenotypic convergence and divergence across multiple GDDs. Pursuing the questions posed by GDDs could substantially improve our taxonomical, neurobiological, and translational understanding of neuropsychiatric illness.
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Affiliation(s)
- Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Bethesda, Maryland
| | - Hyejung Won
- Department of Genetics and the Neuroscience Center, University of North Carolina at Chapel Hill
| | - David C Glahn
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, Massachusetts.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Sébastien Jacquemont
- Sainte Justine University Hospital Research Center, Montreal, Quebec, Canada.,Department of Pediatrics, University of Montreal, Sainte Justine Research Center, Montreal, Quebec, Canada
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811
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Dragioti E, Radua J, Solmi M, Arango C, Oliver D, Cortese S, Jones PB, Il Shin J, Correll CU, Fusar-Poli P. Global population attributable fraction of potentially modifiable risk factors for mental disorders: a meta-umbrella systematic review. Mol Psychiatry 2022; 27:3510-3519. [PMID: 35484237 PMCID: PMC9708560 DOI: 10.1038/s41380-022-01586-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 04/09/2022] [Accepted: 04/13/2022] [Indexed: 12/17/2022]
Abstract
Numerous risk factors for mental disorders have been identified. However, we do not know how many disorders we could prevent and to what extent by modifying these risk factors. This study quantifies the Population Attributable Fraction (PAF) of potentially modifiable risk factors for mental disorders. We conducted a PRISMA 2020-compliant (Protocol: https://osf.io/hk2ag ) meta-umbrella systematic review (Web of Science/PubMed/Cochrane Central Register of Reviews/Ovid/PsycINFO, until 05/12/2021) of umbrella reviews reporting associations between potentially modifiable risk factors and ICD/DSM mental disorders, restricted to highly convincing (class I) and convincing (class II) evidence from prospective cohorts. The primary outcome was the global meta-analytical PAF, complemented by sensitivity analyses across different settings, the meta-analytical Generalised Impact Fraction (GIF), and study quality assessment (AMSTAR). Seven umbrella reviews (including 295 meta-analyses and 547 associations) identified 28 class I-II risk associations (23 risk factors; AMSTAR: 45.0% high-, 35.0% medium-, 20.0% low quality). The largest global PAFs not confounded by indication were 37.84% (95% CI = 26.77-48.40%) for childhood adversities and schizophrenia spectrum disorders, 24.76% (95% CI = 13.98-36.49%) for tobacco smoking and opioid use disorders, 17.88% (95% CI = not available) for job strain and depression, 14.60% (95% CI = 9.46-20.52%) for insufficient physical activity and Alzheimer's disease, 13.40% (95% CI = 7.75-20.15%) for childhood sexual abuse and depressive disorders, 12.37% (95% CI = 5.37-25.34%) for clinical high-risk state for psychosis and any non-organic psychotic disorders, 10.00% (95% CI = 5.62-15.95%) for three metabolic factors and depression, 9.73% (95% CI = 4.50-17.30%) for cannabis use and schizophrenia spectrum disorders, and 9.30% (95% CI = 7.36-11.38%) for maternal pre-pregnancy obesity and ADHD. The GIFs confirmed the preventive capacity for these factors. Addressing several potentially modifiable risk factors, particularly childhood adversities, can reduce the global population-level incidence of mental disorders.
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Affiliation(s)
- Elena Dragioti
- Pain and Rehabilitation Centre and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Mental Health Networking Biomedical Research Centre (CIBERSAM), Barcelona, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Marco Solmi
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- Department of Mental Health, The Ottawa Hospital, Ottawa, ON, Canada
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Health Research Institute (IiGSM), School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
- Biomedical Research Center for Mental Health (CIBERSAM), Madrid, Spain
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK
- Solent NHS Trust, Southampton, UK
- Hassenfeld Children's Hospital at NYU Langone, New York, NY, USA
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- CAMEO Early Intervention Service, Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, UK
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
- Department of Pediatrics, Severance Children's Hospital, Seoul, South Korea
| | - Christoph U Correll
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK.
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
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812
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Tudor K, Maloney S, Raja A, Baer R, Blakemore SJ, Byford S, Crane C, Dalgleish T, De Wilde K, Ford T, Greenberg M, Hinze V, Lord L, Radley L, Opaleye ES, Taylor L, Ukoumunne OC, Viner R, Kuyken W, Montero-Marin J. Universal Mindfulness Training in Schools for Adolescents: a Scoping Review and Conceptual Model of Moderators, Mediators, and Implementation Factors. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2022; 23:934-953. [PMID: 35267177 PMCID: PMC9343282 DOI: 10.1007/s11121-022-01361-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/17/2022] [Indexed: 02/02/2023]
Abstract
There is evidence that universal school-based mindfulness training (SBMT) can have positive effects for young people. However, it is unknown who benefits most from such training, how training exerts effects, and how implementation impacts effects. This study aimed to provide an overview of the evidence on the mediators, moderators, and implementation factors of SBMT, and propose a conceptual model that can be used both to summarize the evidence and provide a framework for future research. A scoping review was performed, and six databases and grey literature were searched. Inclusion and exclusion criteria were applied to select relevant material. Quantitative and qualitative information was extracted from eligible articles and reported in accordance with PRISMA-ScR guidelines. The search produced 5479 articles, of which 31 were eligible and included in the review. Eleven studies assessed moderators of SBMT on pupil outcomes, with mixed findings for all variables tested. Five studies examined the mediating effect of specific variables on pupil outcomes, with evidence that increases in mindfulness skills and decreases in cognitive reactivity and self-criticism post-intervention are related to better pupil outcomes at follow-up. Twenty-five studies assessed implementation factors. We discuss key methodological shortcomings of included studies and integrate our findings with existing implementation frameworks to propose a conceptual model. Widespread interest in universal SBMT has led to increased research over recent years, exploring who SBMT works for and how it might work, but the current evidence is limited. We make recommendations for future research and provide a conceptual model to guide theory-led developments.
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Affiliation(s)
- Kate Tudor
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Anam Raja
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Ruth Baer
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Sarah Byford
- Health Service and Population Research, King's College London, London, UK
| | | | - Tim Dalgleish
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | | | - Tamsin Ford
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Mark Greenberg
- Human Development and Family Studies, Penn State University, State College, USA
| | - Verena Hinze
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Liz Lord
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Lucy Radley
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Laura Taylor
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Russell Viner
- Institute of Child Health, University College London, London, UK
| | | | - Willem Kuyken
- Department of Psychiatry, University of Oxford, Oxford, UK.
| | - Jesus Montero-Marin
- Department of Psychiatry, University of Oxford, Oxford, UK
- Teaching, Reseach & Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
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813
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Kim DH, Kim B, Jang SY, Lee SG, Kim TH. Sleep and Mental Health Among Adolescents During the COVID-19 Pandemic. Psychiatry Investig 2022; 19:637-645. [PMID: 36059052 PMCID: PMC9441459 DOI: 10.30773/pi.2021.0342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 05/01/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE This study aimed to investigate the association of sleep with mental health among Korean adolescents during the coronavirus disease (COVID-19) pandemic. METHODS Using data from the 16th Korea Youth Risk Behavior Web-Based Survey (2020) of 46,475 adolescents, we examined sleep duration and satisfaction and examined mental health for depressive symptoms, anxiety, and suicidal ideation. The data were analyzed using complex sample descriptive statistics and a multiple logistic regression model. RESULTS In 2020, the average sleep duration was 6.3 hours, and the sleep satisfaction rate was 30.8%. Depressive symptom and suicidal ideation rates were 24.2 and 10.3, respectively. These values are slightly better than those previously reported, before COVID-19. However, poor sleep was still associated with mental health. The likelihood of mental health problems was higher among those who slept for six hours or less than for those who slept for eight hours or more (p<0.05). Additionally, the results showed that the lower the sleep satisfaction, the higher the likelihood of mental health problems (p<0.05). CONCLUSION Even after the COVID-19 outbreak, poor sleep associated with mental health problems remained as high as before the outbreak of COVID-19.
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Affiliation(s)
- Do Hee Kim
- Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea
| | - Bomgyeol Kim
- Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea
| | - Suk-Yong Jang
- Department of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea
| | - Sang Gyu Lee
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Tae Hyun Kim
- Department of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea
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814
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Lawrance EL, Thompson R, Newberry Le Vay J, Page L, Jennings N. The Impact of Climate Change on Mental Health and Emotional Wellbeing: A Narrative Review of Current Evidence, and its Implications. Int Rev Psychiatry 2022; 34:443-498. [PMID: 36165756 DOI: 10.1080/09540261.2022.2128725] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Converging global evidence highlights the dire consequences of climate change for human mental health and wellbeing. This paper summarises literature across relevant disciplines to provide a comprehensive narrative review of the multiple pathways through which climate change interacts with mental health and wellbeing. Climate change acts as a risk amplifier by disrupting the conditions known to support good mental health, including socioeconomic, cultural and environmental conditions, and living and working conditions. The disruptive influence of rising global temperatures and extreme weather events, such as experiencing a heatwave or water insecurity, compounds existing stressors experienced by individuals and communities. This has deleterious effects on people's mental health and is particularly acute for those groups already disadvantaged within and across countries. Awareness and experiences of escalating climate threats and climate inaction can generate understandable psychological distress; though strong emotional responses can also motivate climate action. We highlight opportunities to support individuals and communities to cope with and act on climate change. Consideration of the multiple and interconnected pathways of climate impacts and their influence on mental health determinants must inform evidence-based interventions. Appropriate action that centres climate justice can reduce the current and future mental health burden, while simultaneously improving the conditions that nurture wellbeing and equality. The presented evidence adds further weight to the need for decisive climate action by decision makers across all scales.
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Affiliation(s)
- Emma L Lawrance
- Institute of Global Health Innovation, Imperial College London, UK.,Mental Health Innovations, UK.,Grantham Institute of Climate and the Environment, Imperial College London, UK
| | | | | | - Lisa Page
- Brighton & Sussex Medical School, UK
| | - Neil Jennings
- Grantham Institute of Climate and the Environment, Imperial College London, UK
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815
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Liao P, Vajdic CM, Reppermund S, Cvejic RC, Watkins TR, Srasuebkul P, Trollor J. Readmission and emergency department presentation after hospitalisation for epilepsy in people with intellectual disability: A data linkage study. PLoS One 2022; 17:e0272439. [PMID: 35913969 PMCID: PMC9342714 DOI: 10.1371/journal.pone.0272439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 07/19/2022] [Indexed: 11/18/2022] Open
Abstract
Background
Despite the high prevalence of epilepsy and multiple barriers to care in people with intellectual disability, the risk of returning to hospital after an admission for epilepsy is largely unknown. In this study, we sought to quantify and compare readmission and emergency department (ED) presentations after hospitalisation for epilepsy in people with and without intellectual disability.
Methods and findings
Using linked administrative datasets, we conducted a retrospective cohort study of people aged 5–64 years with an acute hospitalisation for epilepsy from 2005–2014 in New South Wales, Australia. Acute readmission and ED presentation rates within 30, 90, and 365 days of the index hospitalisation were estimated and compared between people with and without intellectual disability using modified Poisson regression. Of 13537 individuals with an index hospitalisation, 712 children and 1862 adults had intellectual disability. Readmission and ED presentation after the index hospitalisation were common in people with intellectual disability. Within 30 days, 11% of children and 15.6% of adults had an all-cause readmission and 18% of children and 23.5% of adults had an ED presentation. Over 60% of both children and adults presented to an ED within a year. Neurological, respiratory, and infectious conditions were overrepresented reasons for readmission in people with intellectual disability. Age-adjusted relative risks (RRs) within each period showed a higher risk of readmission and ED presentation in children and adults with intellectual disability than without. Most RRs remained statistically significant after controlling for covariates. The largest adjusted RRs were observed for readmission for epilepsy (RR 1.70, 95% CI: 1.42 to 2.04) and non-epilepsy related conditions (RR 1.73, 95%: CI 1.43 to 2.10) in children. Study limitations include lack of clinical data.
Conclusions
Increased risk of returning to acute care after epilepsy hospitalisation suggests there is a need to improve epilepsy care for people with intellectual disability. We recommend research into strategies to improve management of both seizures and comorbidity.
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Affiliation(s)
- Peiwen Liao
- Faculty of Medicine and Health, Department of Developmental Disability Neuropsychiatry, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Claire M. Vajdic
- Faculty of Medicine and Health, Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia
- * E-mail:
| | - Simone Reppermund
- Faculty of Medicine and Health, Department of Developmental Disability Neuropsychiatry, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Faculty of Medicine and Health, Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Rachael C. Cvejic
- Faculty of Medicine and Health, Department of Developmental Disability Neuropsychiatry, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Tim R. Watkins
- Faculty of Medicine and Health, Department of Developmental Disability Neuropsychiatry, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Preeyaporn Srasuebkul
- Faculty of Medicine and Health, Department of Developmental Disability Neuropsychiatry, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Julian Trollor
- Faculty of Medicine and Health, Department of Developmental Disability Neuropsychiatry, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Faculty of Medicine and Health, Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
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816
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Riglin L, Wootton RE, Livingston LA, Agnew-Blais J, Arseneault L, Blakey R, Agha SS, Langley K, Collishaw S, O’Donovan MC, Smith GD, Stergiakouli E, Tilling K, Thapar A. "Late-onset" ADHD symptoms in young adulthood: Is this ADHD? J Atten Disord 2022; 26:1271-1282. [PMID: 35034501 PMCID: PMC7612898 DOI: 10.1177/10870547211066486] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Objective: We investigated whether "late-onset" ADHD that emerges in adolescence/adulthood is similar in risk factor profile to: (1) child-onset ADHD, but emerges later because of scaffolding/compensation from childhood resources; and (2) depression, because it typically onsets in adolescence/adulthood and shows symptom and genetic overlaps with ADHD. Methods: We examined associations between late-onset ADHD and ADHD risk factors, cognitive tasks, childhood resources and depression risk factors in a population-based cohort followed-up to age 25 years (N=4224-9764). Results: Parent-rated late-onset ADHD was like child-onset persistent ADHD in associations with ADHD polygenic risk scores and cognitive task performance, although self-rated late-onset ADHD was not. Late-onset ADHD was associated with higher levels of childhood resources than child-onset ADHD and did not show strong evidence of association with depression risk factors. Conclusions: Late-onset ADHD shares characteristics with child-onset ADHD when parent-rated, but differences for self-reports require investigation. Childhood resources may delay the onset of ADHD.
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Affiliation(s)
- Lucy Riglin
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - Robyn E Wootton
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK,Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Lucy A Livingston
- School of Psychology, Cardiff University, Wales, UK,Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Jessica Agnew-Blais
- Department of Psychology, School of Biological and Chemical Sciences, Queen Mary University London, UK
| | - Louise Arseneault
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Rachel Blakey
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Sharifah Shameem Agha
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK,Cwm Taf Morgannwg University Health Board, Wales, UK
| | - Kate Langley
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK,School of Psychology, Cardiff University, Wales, UK
| | - Stephan Collishaw
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - Michael C O’Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - George Davey Smith
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Evie Stergiakouli
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Kate Tilling
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Anita Thapar
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK,Corresponding author. Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff CF24 4HQ. Tel: +442920 688325.
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817
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Moller CI, Davey CG, Badcock PB, Wrobel AL, Cao A, Murrihy S, Sharmin S, Cotton SM. Correlates of suicidality in young people with depressive disorders: A systematic review. Aust N Z J Psychiatry 2022; 56:910-948. [PMID: 35362327 DOI: 10.1177/00048674221086498] [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: 11/15/2022]
Abstract
OBJECTIVE Depression is one of the most prevalent and disabling mental health conditions among young people worldwide. The health and economic burdens associated with depressive illness are substantial. Suicide and depression are closely intertwined, yet a diagnosis of depression itself lacks predictive specificity for suicidal behaviour. To better inform suicide prevention and early intervention strategies for young people, improved identification of modifiable intervention targets is needed. The objective of this review was to identify clinical, psychosocial and biological correlates of suicidality in young people diagnosed with a broad range of unipolar and bipolar depressive disorders. METHOD Systematic searches were conducted across MEDLINE, Embase and PsycINFO to identify studies of young people aged 15-25 years diagnosed with unipolar or bipolar depressive disorders. An assessment of suicidality was required for inclusion. Reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 and Synthesis Without Meta-analysis guidelines. RESULTS We integrated findings from 71 studies including approximately 24,670 young people with clinically diagnosed depression. We identified 26 clinical, psychosocial and biological correlates of suicidality. Depression characteristics (type and severity), psychiatric comorbidity (particularly anxiety and substance use disorders) and neurological characteristics emerged as having the most evidence for being associated with suicidal outcomes. Our ability to pool data and conduct meaningful quantitative synthesis was hampered by substantial heterogeneity across studies and incomplete reporting; thus, meta-analysis was not possible. CONCLUSION Findings of this review reinforce the notion that suicidality is a complex phenomenon arising from the interplay of multiple contributing factors. Our findings question the utility of considering a diagnosis of depression as a specific risk factor for suicidality in young people. Suicidality itself is transdiagnostic; adoption of a transdiagnostic approach to investigating its aetiology and treatment is perhaps warranted. Future research investigating specific symptoms, or symptom networks, might help to further our understanding of suicidality among young people experiencing mental illness.
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Affiliation(s)
- Carl I Moller
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, The University of Melbourne, Parkville, VIC, Australia
| | - Christopher G Davey
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, The University of Melbourne, Parkville, VIC, Australia
- Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia
| | - Paul B Badcock
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, The University of Melbourne, Parkville, VIC, Australia
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, Australia
| | - Anna L Wrobel
- Orygen, The University of Melbourne, Parkville, VIC, Australia
- IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, VIC, Australia
| | - Alice Cao
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Sean Murrihy
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, The University of Melbourne, Parkville, VIC, Australia
| | - Sonia Sharmin
- Department of Occupational Therapy, Social Work and Social Policy, La Trobe University, Bundoora, VIC, Australia
- Research and Evaluation, Take Two, Berry Street, Eaglemont, VIC, Australia
- Department of Public Health, Torrens University Australia, Melbourne, VIC, Australia
| | - Sue M Cotton
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, The University of Melbourne, Parkville, VIC, Australia
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818
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Characterizing the polygenic overlaps of bipolar disorder subtypes with schizophrenia and major depressive disorder. J Affect Disord 2022; 309:242-251. [PMID: 35487438 DOI: 10.1016/j.jad.2022.04.097] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/09/2022] [Accepted: 04/13/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Large-scale studies have shown that bipolar I disorder (BD-I) and bipolar II disorder (BD-II) have differences in genetic association with schizophrenia (SCZ) and major depressive disorder (MDD). However, the underlying shared genetic architectures between BD subtypes and both SCZ and MDD remain largely unknown. METHODS We applied univariate and bivariate causal mixture models (MiXeR) to estimate the polygenicity and polygenic overlaps on large GWASs summary statistics of BD-I (n = 25,060), BD-II (n = 6781), SCZ (n = 69,369) and MDD (n = 170,756). Then, conjunctional false discovery rate approach was used to identify specific shared genetic loci between BD subtypes and both SCZ and MDD. RESULTS Univariate MiXeR revealed that BD-II was substantially more polygenic (22.37 K causal variants) as compared to BD-I, SCZ and MDD (7.87-12.43 K causal variants). Bivariate MiXeR revealed substantial polygenic overlaps between BD-I and SCZ (Dice-coefficient = 0.83) and between BD-I and MDD (Dice-coefficient = 0.76), which are beyond the genetic correlation (rg = 0.71 and 0.36). Conjunctional FDR analysis identified 236 distinct shared loci between BD-I and BD-II (2 loci), BD-I and SCZ (227 loci), BD-I and MDD (19 loci), BD-II and SCZ (1 locus), and BD-II and MDD (3 loci). Most of these shared loci have concordant effect directions among BD subtypes, SCZ and MDD. LIMITATIONS The bivariate MiXeR model was not applied for the BD-II because of insufficient power and inadequate model fit. CONCLUSIONS These findings provide evidence for extensive polygenic effects across BD subtypes, SCZ and MDD, which further our understanding of the potential genetic basis for the comorbid symptoms across these disorders.
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819
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Montero-Marin J, Allwood M, Ball S, Crane C, De Wilde K, Hinze V, Jones B, Lord L, Nuthall E, Raja A, Taylor L, Tudor K, Blakemore SJ, Byford S, Dalgleish T, Ford T, Greenberg MT, Ukoumunne OC, Williams JMG, Kuyken W. School-based mindfulness training in early adolescence: what works, for whom and how in the MYRIAD trial? EVIDENCE-BASED MENTAL HEALTH 2022; 25:ebmental-2022-300439. [PMID: 35820993 PMCID: PMC9340034 DOI: 10.1136/ebmental-2022-300439] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 05/16/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND Preventing mental health problems in early adolescence is a priority. School-based mindfulness training (SBMT) is an approach with mixed evidence. OBJECTIVES To explore for whom SBMT does/does not work and what influences outcomes. METHODS The My Resilience in Adolescence was a parallel-group, cluster randomised controlled trial (K=84 secondary schools; n=8376 students, age: 11-13) recruiting schools that provided standard social-emotional learning. Schools were randomised 1:1 to continue this provision (control/teaching as usual (TAU)), and/or to offer SBMT ('.b' (intervention)). Risk of depression, social-emotional-behavioural functioning and well-being were measured at baseline, preintervention, post intervention and 1 year follow-up. Hypothesised moderators, implementation factors and mediators were analysed using mixed effects linear regressions, instrumental variable methods and path analysis. FINDINGS SBMT versus TAU resulted in worse scores on risk of depression and well-being in students at risk of mental health problems both at post intervention and 1-year follow-up, but differences were small and not clinically relevant. Higher dose and reach were associated with worse social-emotional-behavioural functioning at postintervention. No implementation factors were associated with outcomes at 1-year follow-up. Pregains-postgains in mindfulness skills and executive function predicted better outcomes at 1-year follow-up, but the SBMT was unsuccessful to teach these skills with clinical relevance.SBMT as delivered in this trial is not indicated as a universal intervention. Moreover, it may be contraindicated for students with existing/emerging mental health symptoms. CLINICAL IMPLICATIONS Universal SBMT is not recommended in this format in early adolescence. Future research should explore social-emotional learning programmes adapted to the unique needs of young people.
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Affiliation(s)
- Jesus Montero-Marin
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
- Teaching, Reseach and Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
| | - Matthew Allwood
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Susan Ball
- NIHR Applied Research Collaboration (PenARC) South West Peninsula, University of Exeter, Exeter, UK
| | - Catherine Crane
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Katherine De Wilde
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Verena Hinze
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Benjamin Jones
- NIHR Applied Research Collaboration (PenARC) South West Peninsula, University of Exeter, Exeter, UK
| | - Liz Lord
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Elizabeth Nuthall
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Anam Raja
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Laura Taylor
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Kate Tudor
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Sarah-Jayne Blakemore
- Department of Psychology, University of Cambridge, Cambridge, UK
- UCL Institute of Cognitive Neuroscience, London, UK
| | - Sarah Byford
- King's College London, King's Health Economics, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, UK
| | - Tim Dalgleish
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Tamsin Ford
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Mark T Greenberg
- Department of Human Development and Family Studies, Pennsylvania State University, University Park, Philadelphia, Pennsylvania, USA
| | - Obioha C Ukoumunne
- NIHR Applied Research Collaboration (PenARC) South West Peninsula, University of Exeter, Exeter, UK
| | - J Mark G Williams
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
| | - Willem Kuyken
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
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820
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Almodóvar-Payá C, Guardiola-Ripoll M, Giralt-López M, Gallego C, Salgado-Pineda P, Miret S, Salvador R, Muñoz MJ, Lázaro L, Guerrero-Pedraza A, Parellada M, Carrión MI, Cuesta MJ, Maristany T, Sarró S, Fañanás L, Callado LF, Arias B, Pomarol-Clotet E, Fatjó-Vilas M. NRN1 Gene as a Potential Marker of Early-Onset Schizophrenia: Evidence from Genetic and Neuroimaging Approaches. Int J Mol Sci 2022; 23:ijms23137456. [PMID: 35806464 PMCID: PMC9267632 DOI: 10.3390/ijms23137456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 12/10/2022] Open
Abstract
Included in the neurotrophins family, the Neuritin 1 gene (NRN1) has emerged as an attractive candidate gene for schizophrenia (SZ) since it has been associated with the risk for the disorder and general cognitive performance. In this work, we aimed to further investigate the association of NRN1 with SZ by exploring its role on age at onset and its brain activity correlates. First, we developed two genetic association analyses using a family-based sample (80 early-onset (EO) trios (offspring onset ≤ 18 years) and 71 adult-onset (AO) trios) and an independent case–control sample (120 healthy subjects (HS), 87 EO and 138 AO patients). Second, we explored the effect of NRN1 on brain activity during a working memory task (N-back task; 39 HS, 39 EO and 39 AO; matched by age, sex and estimated IQ). Different haplotypes encompassing the same three Single Nucleotide Polymorphisms(SNPs, rs3763180–rs10484320–rs4960155) were associated with EO in the two samples (GCT, TCC and GTT). Besides, the GTT haplotype was associated with worse N-back task performance in EO and was linked to an inefficient dorsolateral prefrontal cortex activity in subjects with EO compared to HS. Our results show convergent evidence on the NRN1 association with EO both from genetic and neuroimaging approaches, highlighting the role of neurotrophins in the pathophysiology of SZ.
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Affiliation(s)
- Carmen Almodóvar-Payá
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - Maria Guardiola-Ripoll
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - Maria Giralt-López
- Departament de Psiquiatria, Hospital Universitari Germans Trias i Pujol (HUGTP), 08916 Badalona, Barcelona, Spain;
- Departament de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Barcelona, Spain
| | - Carme Gallego
- Department of Cell Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), 08028 Barcelona, Barcelona, Spain;
| | - Pilar Salgado-Pineda
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - Salvador Miret
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Centre de Salut Mental d’Adults de Lleida, Servei de Psiquiatria, Salut Mental i Addiccions, Hospital Universitari Santa Maria de Lleida, 25198 Lleida, Lleida, Spain
- Institut de Recerca Biomèdica (IRB), 25198 Lleida, Lleida, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - María J. Muñoz
- Complex Assistencial en Salut Mental Benito Menni, 08830 Sant Boi de Llobregat, Barcelona, Spain;
| | - Luisa Lázaro
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, 08036 Barcelona, Barcelona, Spain
- Departament de Medicina, Universitat de Barcelona (UB), 08036 Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Barcelona, Spain
| | - Amalia Guerrero-Pedraza
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Complex Assistencial en Salut Mental Benito Menni, 08830 Sant Boi de Llobregat, Barcelona, Spain;
| | - Mara Parellada
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Madrid, Spain
- Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), 28007 Madrid, Madrid, Spain
- Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense, 28040 Madrid, Madrid, Spain
| | | | - Manuel J. Cuesta
- Servicio de Psiquiatría, Hospital Universitario de Navarra, 31008 Pamplona, Navarra, Spain;
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Navarra, Spain
| | - Teresa Maristany
- Departament de Diagnòstic per la Imatge, Hospital Sant Joan de Déu Fundació de Recerca, 08950 Esplugues de Llobregat, Barcelona, Spain;
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
| | - Lourdes Fañanás
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Departament de Biologia Evolutiva, Ecología i Ciències Ambientals, Universitat de Barcelona (UB), 08028 Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), 08028 Barcelona, Barcelona, Spain
| | - Luis F. Callado
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Department of Pharmacology, University of the Basque Country, UPV/EHU, 48940 Leioa, Bizkaia, Spain
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Bizkaia, Spain
| | - Bárbara Arias
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Departament de Biologia Evolutiva, Ecología i Ciències Ambientals, Universitat de Barcelona (UB), 08028 Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), 08028 Barcelona, Barcelona, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Correspondence: (E.P.-C.); (M.F.-V.)
| | - Mar Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, 08830 Sant Boi de Llobregat, Barcelona, Spain; (C.A.-P.); (M.G.-R.); (P.S.-P.); (R.S.); (A.G.-P.); (S.S.)
- Instituto de Salud Carlos III, Biomedical Research Network in Mental Health (CIBERSAM), 28029 Madrid, Madrid, Spain; (S.M.); (L.L.); (M.P.); (L.F.); (L.F.C.); (B.A.)
- Departament de Biologia Evolutiva, Ecología i Ciències Ambientals, Universitat de Barcelona (UB), 08028 Barcelona, Barcelona, Spain
- Correspondence: (E.P.-C.); (M.F.-V.)
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821
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Abstract
AIMS Current information about the prevalence of various mental health disorders in the general adult population of the Republic of Ireland is lacking. In this study, we examined the prevalence of 12 common mental disorders, the proportion of adults who screened positive for any disorder, the sociodemographic factors associated with meeting criteria for a disorder and the associations between each disorder and history of attempted suicide. METHODS A non-probability nationally representative sample (N = 1110) of adults living in Ireland completed self-report measures of 12 mental health disorders. Effect sizes were calculated using odds ratios from logistic regression models, and population attributable risk fractions (PAFs) were estimated to quantify the associations between each disorder and attempted suicide. RESULTS Prevalence rates ranged from 15.0% (insomnia disorder) to 1.7% (histrionic personality disorder). Overall, 42.5% of the sample met criteria for a mental health disorder, and 11.1% had a lifetime history of attempted suicide. Younger age, being a shift worker and trauma exposure were independently associated with a higher likelihood of having a mental health disorder, while being in university was associated with a lower likelihood of having a disorder. ICD-11 complex posttraumatic stress disorder, borderline personality disorder and insomnia disorder had the highest PAFs for attempted suicide. CONCLUSIONS Mental health disorder prevalence in Ireland is relatively high compared to international estimates. The findings are discussed in relation to important mental health policy implications.
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822
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Onitsuka T, Hirano Y, Nakazawa T, Ichihashi K, Miura K, Inada K, Mitoma R, Yasui-Furukori N, Hashimoto R. Toward recovery in schizophrenia: Current concepts, findings, and future research directions. Psychiatry Clin Neurosci 2022; 76:282-291. [PMID: 35235256 DOI: 10.1111/pcn.13342] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/17/2022] [Accepted: 02/25/2022] [Indexed: 11/30/2022]
Abstract
Schizophrenia was initially defined as "dementia praecox" by E. Kraepelin, which implies progressive deterioration. However, recent studies have revealed that early effective intervention may lead to social and functional recovery in schizophrenia. In this review, we provide an overview of current concepts in schizophrenia and pathophysiological hypotheses. In addition, we present recent findings from clinical and basic research on schizophrenia. Recent neuroimaging and neurophysiological studies have consistently revealed specific biological differences in the structure and function of the brain in those with schizophrenia. From a basic research perspective, to determine the essential pathophysiology underlying schizophrenia, it is crucial that findings from all lines of inquiry-induced pluripotent stem cell (iPSC)-derived neural cells from patients, murine models expressing genetic mutations identified in patients, and patient clinical data-be integrated to contextualize the analysis results. However, the findings remain insufficient to serve as a diagnostic tool or a biomarker for predicting schizophrenia-related outcomes. Collaborations to conduct clinical research based on the patients' and their families' values are just beginning, and further development is expected.
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Affiliation(s)
- Toshiaki Onitsuka
- Department of Neuroimaging Psychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
| | - Takanobu Nakazawa
- Department of Bioscience, Tokyo University of Agriculture, Tokyo, Japan
| | - Kayo Ichihashi
- Department of Neuropsychiatry, The University of Tokyo Hospital, Tokyo, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Ken Inada
- Department of Psychiatry, Tokyo Women's Medical University, Tokyo, Japan.,Department of Psychiatry, Kitasato University School of Medicine, Kanagawa, Japan
| | - Ryo Mitoma
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Norio Yasui-Furukori
- Department of Psychiatry, Dokkyo Medical University School of Medicine, Tochigi, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
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823
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Aomine Y, Sakurai K, Macpherson T, Ozawa T, Miyamoto Y, Yoneda Y, Oka M, Hikida T. Importin α3 (KPNA3) Deficiency Augments Effortful Reward-Seeking Behavior in Mice. Front Neurosci 2022; 16:905991. [PMID: 35844217 PMCID: PMC9279672 DOI: 10.3389/fnins.2022.905991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Abstract
Importin α3 (Gene: Kpna3, the ortholog of human Importin α4) is a member of the importin α family and participates in nucleocytoplasmic transport by forming trimeric complexes between cargo proteins and importin β1. Evidence from human studies has indicated that single nucleotide polymorphisms (SNP) in the KPNA3 gene are associated with the occurrence of several psychiatric disorders accompanied by abnormal reward-related behavior, including schizophrenia, major depression, and substance addiction. However, the precise roles of importin α3 in controlling reward processing and motivation are still unclear. In this study, we evaluated the behavioral effects of Kpna3 knockout (KO) in mice on performance in touchscreen operant chamber-based tasks evaluating simple (fixed-ratio) and effortful (progressive-ratio) reward-seeking behaviors. While Kpna3 KO mice showed no significant differences in operant reward learning on a fixed-ratio schedule, they demonstrated significantly increased motivation (increased break point) to instrumentally respond for sucrose on a progressive-ratio schedule. We additionally measured the number of c-Fos-positive cells, a marker of neural activity, in 20 regions of the brain and identified a network of brain regions based on their interregional correlation coefficients. Network and graph-theoretic analyses suggested that Kpna3 deficiency enhanced overall interregional functional connectivity. These findings suggest the importance of Kpna3 in motivational control and indicate that Kpna3 KO mice may be an attractive line for modeling motivational abnormalities associated with several psychiatric disorders.
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Affiliation(s)
- Yoshiatsu Aomine
- Laboratory for Advanced Brain Functions, Institute for Protein Research, Osaka University, Osaka, Japan
- Department of Biological Sciences, Graduate School of Science, Osaka University, Osaka, Japan
| | - Koki Sakurai
- Laboratory for Advanced Brain Functions, Institute for Protein Research, Osaka University, Osaka, Japan
- Department of Biological Sciences, Graduate School of Science, Osaka University, Osaka, Japan
| | - Tom Macpherson
- Laboratory for Advanced Brain Functions, Institute for Protein Research, Osaka University, Osaka, Japan
- Department of Biological Sciences, Graduate School of Science, Osaka University, Osaka, Japan
| | - Takaaki Ozawa
- Laboratory for Advanced Brain Functions, Institute for Protein Research, Osaka University, Osaka, Japan
- Department of Biological Sciences, Graduate School of Science, Osaka University, Osaka, Japan
| | - Yoichi Miyamoto
- Laboratory of Nuclear Transport Dynamics, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - Yoshihiro Yoneda
- National Institutes for Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - Masahiro Oka
- Laboratory of Nuclear Transport Dynamics, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - Takatoshi Hikida
- Laboratory for Advanced Brain Functions, Institute for Protein Research, Osaka University, Osaka, Japan
- Department of Biological Sciences, Graduate School of Science, Osaka University, Osaka, Japan
- *Correspondence: Takatoshi Hikida,
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824
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Alvarez-Subiela X, Castellano-Tejedor C, Verge-Muñoz M, Esnaola-Letemendia K, Palao-Vidal D, Villar-Cabeza F. Predictors of Suicide Re-Attempt in a Spanish Adolescent Population after 12 Months' Follow-Up. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137566. [PMID: 35805225 PMCID: PMC9265348 DOI: 10.3390/ijerph19137566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/17/2022] [Accepted: 06/18/2022] [Indexed: 01/27/2023]
Abstract
Background: This study aims to identify the main predictive factors that allow for the recognition of adolescents with a higher risk of re-attempting suicide. Method: A longitudinal 12-month follow-up design was carried out in a sample of 533 Spanish adolescents between 12 and 17 years old. The data collection period comprised September 2013 to November 2016, including a one-year follow-up after hospital discharge. Results: A statistically significant regression model was obtained to predict suicide re-attempt at 12-months’ follow-up (χ2 = 34.843; p < 0.001; Nagelkerke R2 = 0.105), including personal history of self-injury (OR = 2.721, p < 0.001, 95% CI [1.706, 4.340]) and age (OR = 0.541, p = 0.009, 95% CI [0.340, 0.860]), correctly classifying 82.6% of the sample. Our results show that having a personal history of self-injury and being younger than 14 years old were predictors of suicide re-attempt during the first year after an adolescent’s first admission to emergency services. Conclusions: Considering these factors could contribute to the design of more tailored and effective interventions to prevent suicidal behavior in adolescents at high risk of re-attempting suicide.
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Affiliation(s)
- Xavier Alvarez-Subiela
- Suicide Conduct Unit, Psychiatry and Psychology Department, Sant Joan de Déu Hospital, 08950 Esplugues del Llobregat, Spain; (X.A.-S.); (M.V.-M.); (K.E.-L.); (F.V.-C.)
- Doctoral Program in Psychiatry, Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, 08193 Bellaterra, Barcelona, Spain
| | - Carmina Castellano-Tejedor
- Research Group on Stress and Health (GIES), Department of Basic Psychology, Faculty of Psychology, Autonomous University of Barcelona, 08193 Bellaterra, Barcelona, Spain;
- RE-FIT Research Group, Parc Sanitari Pere Virgili & Vall d’Hebron Institute of Research, 08023 Barcelona, Spain
| | - Mireia Verge-Muñoz
- Suicide Conduct Unit, Psychiatry and Psychology Department, Sant Joan de Déu Hospital, 08950 Esplugues del Llobregat, Spain; (X.A.-S.); (M.V.-M.); (K.E.-L.); (F.V.-C.)
| | - Kike Esnaola-Letemendia
- Suicide Conduct Unit, Psychiatry and Psychology Department, Sant Joan de Déu Hospital, 08950 Esplugues del Llobregat, Spain; (X.A.-S.); (M.V.-M.); (K.E.-L.); (F.V.-C.)
| | - Diego Palao-Vidal
- Doctoral Program in Psychiatry, Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, 08193 Bellaterra, Barcelona, Spain
- Unitat de Neurociències Traslacional I3PT-INc, University Hospital Parc Taulí, 08208 Sabadell, Spain
- Centro de Investigación en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Barcelona, Spain
- Department of Mental Health, University Hospital Parc Taulí, 08208 Sabadell, Barcelona, Spain
- Correspondence:
| | - Francisco Villar-Cabeza
- Suicide Conduct Unit, Psychiatry and Psychology Department, Sant Joan de Déu Hospital, 08950 Esplugues del Llobregat, Spain; (X.A.-S.); (M.V.-M.); (K.E.-L.); (F.V.-C.)
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825
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Mawer T, Kent K, Williams AD, McGowan CJ, Murray S, Bird ML, Hardcastle S, Bridgman H. The knowledge, barriers and opportunities to improve nutrition and physical activity amongst young people attending an Australian youth mental health service: a mixed-methods study. BMC Health Serv Res 2022; 22:789. [PMID: 35715836 PMCID: PMC9205652 DOI: 10.1186/s12913-022-08182-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 06/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Mental illnesses are the leading cause of disability in young people, and lifestyle interventions in young people at risk of mental illness remain a priority. Opportunities to improve nutrition and physical activity among young people through youth mental health services remain unclear. This study aimed to determine the knowledge and behaviors towards nutrition and physical activity, the barriers and enablers to improving behaviors, and the preferred providers and sources of information for nutrition and physical activity among a sample of young people attending a youth mental health service. Methods A mixed-method study was conducted in regional Tasmania, Australia in a sample of young people (15–25 years) attending a youth mental health service (headspace). A quantitative survey (n = 48) determined young people’s nutrition and physical activity knowledge, behaviors, barriers and enablers to achieving recommendations, and their preferred providers and sources of information. Structured interviews and a focus group further explored these concepts (n = 8), including the role of the mental health service as a provider of this support. Results The majority of participants did not meet national recommendations for nutrition and physical activity, despite possessing a high level of knowledge regarding their importance for mental health. Improving mental health was a common enabling factor for participants choosing to alter diet and physical activity habits, but also the leading barrier for participating in physical activity. Young people wanted to receive information from reputable health providers, ideally through social media sources. headspace was seen as an important potential provider of this information. Conclusions Our results indicate that there is a clear need to improve diet and physical activity habits to enhance mental and physical health outcomes in this at-risk group, and youth mental health services could provide further interventions to support their clients. Specialized staff (e.g. dietitians and exercise physiologists) may provide additional benefits alongside existing mental health care support. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-08182-0.
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Affiliation(s)
- Tamieka Mawer
- Centre for Rural Health, University of Tasmania, Locked Bag 1322, Launceston, Tasmania, 7250, Australia
| | - Katherine Kent
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia.,School of Health Sciences, Western Sydney University, Kingswood, New South Wales, Australia
| | - Andrew D Williams
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia
| | - Courtney J McGowan
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia.,Sport Performance Optimization Research Team, School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Sandra Murray
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia
| | - Marie-Louise Bird
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia
| | - Sibella Hardcastle
- School of Health Sciences, University of Tasmania, Launceston, Tasmania, Australia
| | - Heather Bridgman
- Centre for Rural Health, University of Tasmania, Locked Bag 1322, Launceston, Tasmania, 7250, Australia.
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826
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Pinna F, Suprani F, Deiana V, Lai L, Manchia M, Paribello P, Somaini G, Diana E, Nicotra EF, Farci F, Ghiani M, Cau R, Tuveri M, Cossu E, Loy E, Crapanzano A, Grassi P, Loviselli A, Velluzzi F, Carpiniello B. Depression in Diabetic Patients: What Is the Link With Eating Disorders? Results of a Study in a Representative Sample of Patients With Type 1 Diabetes. Front Psychiatry 2022; 13:848031. [PMID: 35782445 PMCID: PMC9243395 DOI: 10.3389/fpsyt.2022.848031] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 05/25/2022] [Indexed: 11/30/2022] Open
Abstract
Background and Purpose Comorbidity between diabetes and depression, and diabetes and eating disorders (ED) conveys significant diagnostic, clinical and therapeutic implications. The present study was conducted on a sample of adult outpatients affected by Type 1 Diabetes (T1DM) to assess lifetime prevalence of ED; current prevalence of depression and Disturbed Eating Behaviors (DEB) and their impact on glycemic control. We hypothesized that patients with depression would have higher rates of lifetime ED and current DEB. We hypothesized a significant and independent association between DEB and the prevalence of depression. Materials and Methods The study was carried out using a cross-sectional design in a sample of 172 diabetic patients with T1DM aged from 17 to 55 years. Lifetime prevalence of ED according to DSM-5 criteria was assessed by means of the Module H modified of the Structured Clinical Interview for DSM-IV Axis I Disorder (SCID-I). The following questionnaires were used: Beck Depression Inventory-IA version (BDI-IA) and Diabetes Eating Problems Survey-Revised (DEPS-R), to assess respectively the current presence of depression and DEB. Socio-demographic, clinical, and laboratory data were also collected. Results High rates of depression (35.5%) and DEB (19.2%) were observed in our sample of 172 adult outpatients with T1DM. Lifetime history of ED was present in 20.9% of the sample and was more frequently diagnosed in patients with current depression (34.4% vs. 13.9%, p = 0.002). Higher levels of DEB at DEPS-R significantly increased the odds of depression (adjOR: 1.09; 95% CI: 1.03-1.15; p = 0.003). The presence of DEB was associated with poor glycemic control. On the other hand, no association was found between depression and metabolic compensation. Conclusion Adult patients with T1DM and depression should be screened for ED and DEB. Treating DEB could positively impact both mood and glycemic control in this population. Further studies should be carried out on a larger patient population using a longitudinal design and an accurate method of evaluation to explore the complex relationship between diabetes, depression, ED, and DEB. Future research should investigate treatment strategies for DEB in T1DM patients and their impact on both psychopathological and metabolic outcomes.
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Affiliation(s)
- Federica Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Federico Suprani
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Valeria Deiana
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Lorena Lai
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Pasquale Paribello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Giulia Somaini
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Enrica Diana
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | | | - Fernando Farci
- Unit of Diabetology, Azienda Sanitaria Locale Cagliari, Quartu Sant’Elena, Italy
| | - Mariangela Ghiani
- Unit of Diabetology, Azienda Sanitaria Locale Cagliari, Quartu Sant’Elena, Italy
| | - Rossella Cau
- Unit of Diabetology, Azienda Sanitaria Locale Cagliari, Quartu Sant’Elena, Italy
| | - Marta Tuveri
- Endocrinology and Diabetes Unit, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Efisio Cossu
- Endocrinology and Diabetes Unit, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Elena Loy
- Endocrinology and Diabetes Unit, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Andrea Crapanzano
- Department of Counseling, San Francisco State University, San Francisco, CA, United States
| | - Paola Grassi
- Department of Education, Psychology and Philosophy, University of Cagliari, Cagliari, Italy
| | - Andrea Loviselli
- Endocrinology and Obesity Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Fernanda Velluzzi
- Endocrinology and Obesity Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
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827
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Hart LM, Morgan AJ, Rossetto A, Kelly CM, Gregg K, Gross M, Johnson C, Jorm AF. teen Mental Health First Aid: 12-month outcomes from a cluster crossover randomized controlled trial evaluation of a universal program to help adolescents better support peers with a mental health problem. BMC Public Health 2022; 22:1159. [PMID: 35681130 PMCID: PMC9185965 DOI: 10.1186/s12889-022-13554-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 06/01/2022] [Indexed: 11/28/2022] Open
Abstract
Background teen Mental Health First Aid (tMHFA) is a universal mental health literacy, stigma reduction, help-seeking, and suicide prevention program designed for adolescents in Years 10–12 of secondary school (16–18 years). tMHFA is delivered by trained instructors, in a regular classroom setting, to increase the knowledge, attitudes and behaviours that adolescents’ require to better support peers with mental health problems or mental health crises. Methods To explore the efficacy of tMHFA, a cluster crossover randomised controlled trial was conducted with Year 10 students in four schools in Victoria, Australia, using physical first aid training as the control intervention. Of the 1942 eligible students, 1,624 completed baseline and 894 completed follow-up surveys. Online surveys, administered one week before training and again 12-months later, included vignettes depicting peers John (depression and suicide risk) and Jeanie (social anxiety/phobia), measures of mental health first aid (quality of first aid intentions, confidence, first aid behaviours provided, and first aid behaviours received), mental health literacy (beliefs about adult help, help-seeking intentions), and stigma (social distance, weak-not-sick, dangerous/unpredictable, and would not tell anyone). Results The primary outcome—quality of first aid intentions towards the John vignette—showed statistically significant group x time interactions, with tMHFA students reporting more helpful and less unhelpful first aid intentions, than PFA students did over time. Confidence in providing first aid also showed significant interactions. First aid behaviours—both those provided to a peer with a mental health problem and those received from a peer—showed null results. Ratings of both beliefs about adult help and help-seeking intentions were found to be significantly improved among tMHFA students at follow-up. A group x time interaction was found on one stigma scale (would not tell anyone). Conclusions This trial showed that, one year after training, tMHFA improves first aid intentions towards peers with depression and suicide risk, confidence in helping peers with mental health problems, willingness to tell someone and seek help from an adult or health professional if experiencing a mental health problem. Trial registration This research was registered with Australia New Zealand Clinical Trials Registry: ACTRN12614000061639. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13554-6.
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Affiliation(s)
- Laura M Hart
- Centre for Mental Health, Melbourne School of Population and Global Health , University of Melbourne, Melbourne, Australia. .,School of Psychology and Public Health, La Trobe University, Melbourne, Australia.
| | - Amy J Morgan
- Centre for Mental Health, Melbourne School of Population and Global Health , University of Melbourne, Melbourne, Australia
| | - Alyssia Rossetto
- Centre for Mental Health, Melbourne School of Population and Global Health , University of Melbourne, Melbourne, Australia.,Mental Health First Aid Australia, Melbourne, Australia
| | | | - Karen Gregg
- Centre for Mental Health, Melbourne School of Population and Global Health , University of Melbourne, Melbourne, Australia
| | - Maxine Gross
- Centre for Mental Health, Melbourne School of Population and Global Health , University of Melbourne, Melbourne, Australia
| | - Catherine Johnson
- Centre for Mental Health, Melbourne School of Population and Global Health , University of Melbourne, Melbourne, Australia
| | - Anthony F Jorm
- Centre for Mental Health, Melbourne School of Population and Global Health , University of Melbourne, Melbourne, Australia
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828
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Socio-ecological Resilience Relates to Lower Internalizing Symptoms among Adolescents during the Strictest Period of COVID-19 Lockdown in Perú. Res Child Adolesc Psychopathol 2022; 50:1429-1444. [PMID: 35675003 PMCID: PMC9174627 DOI: 10.1007/s10802-022-00928-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/13/2022] [Indexed: 11/02/2022]
Abstract
The COVID-19 pandemic has touched the lives of adolescents around the world. This short-term longitudinal, observational study followed 1,334 adolescents (11–17 yo) to investigate whether social-ecological resilience relates to intra- and inter-personal resources and/or the caregiver relationship relates to changes in internalizing symptoms during five stressful weeks of COVID-19 lockdown in Perú. In this work, we contextualize social-ecological resilience in relation to culturally-relevant personal and caregiver resources that youth can use to adapt to stressful situations. We found that adolescents who reported higher levels of personal, caregiver, and overall resilience had lower levels of anxiety and depressive symptoms at week six. We also find that personal, caregiver, and overall resilience moderated the change in anxiety symptoms from week 6 to week 11 of lockdown in 2020. Our findings underscore the importance of social-ecological resilience related to both intra/interpersonal resources and the caregiver relationship for minimizing the harmful impacts of COVID-19 on adolescent internalizing symptoms.
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829
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Fält E, Fabian H, Durbeej N. Parental sociodemographic characteristics and mental health referrals by nurses in Swedish child health centres. Acta Paediatr 2022; 111:1743-1751. [PMID: 35673845 PMCID: PMC9545827 DOI: 10.1111/apa.16448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 05/14/2022] [Accepted: 06/07/2022] [Indexed: 11/29/2022]
Abstract
AIM To explore the influence of parents' socio-economic characteristics on child healthcare nurses' mental health referrals of 3- to 5-year-olds and also to test the association between mental health problems and referrals. METHODS Repeated cross-sectional data including parents' Strengths and Difficulties Questionnaire (SDQ) assessments and referral data (psychologist and speech and language pathologist). Hierarchical regression was used to analyse whether parents' country of birth, education level, marital status and mental health problem scores (SDQ; total difficulties and impact scores) were associated with nurses' referrals. RESULTS About 9% of mothers and 12% of fathers rated high SDQ scores (total difficulties) in their children. Approximately, 1% of the children were referred. The influence of parents' socio-economic characteristics on referral rates was not observed. However, for children with Swedish-born mothers, referral rates were significantly lower. Scores for SDQ total difficulties and impact were associated with the child's referral to specialists. CONCLUSION In general, parental sociodemographic characteristics do not influence Swedish child healthcare nurses' mental health referrals. Although there was a significant association between problem behaviour and referral, a disproportion between children rated with high SDQ scores (9% and 12%) and children referred to specialists (1%) should be addressed.
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Affiliation(s)
- Elisabet Fält
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Helena Fabian
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Natalie Durbeej
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
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830
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Hampsey E, Meszaros M, Skirrow C, Strawbridge R, Taylor RH, Chok L, Aarsland D, Al-Chalabi A, Chaudhuri R, Weston J, Fristed E, Podlewska A, Awogbemila O, Young AH. Protocol for Rhapsody: a longitudinal observational study examining the feasibility of speech phenotyping for remote assessment of neurodegenerative and psychiatric disorders. BMJ Open 2022; 12:e061193. [PMID: 35667724 PMCID: PMC9171270 DOI: 10.1136/bmjopen-2022-061193] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 01/19/2022] [Accepted: 05/17/2022] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Neurodegenerative and psychiatric disorders (NPDs) confer a huge health burden, which is set to increase as populations age. New, remotely delivered diagnostic assessments that can detect early stage NPDs by profiling speech could enable earlier intervention and fewer missed diagnoses. The feasibility of collecting speech data remotely in those with NPDs should be established. METHODS AND ANALYSIS The present study will assess the feasibility of obtaining speech data, collected remotely using a smartphone app, from individuals across three NPD cohorts: neurodegenerative cognitive diseases (n=50), other neurodegenerative diseases (n=50) and affective disorders (n=50), in addition to matched controls (n=75). Participants will complete audio-recorded speech tasks and both general and cohort-specific symptom scales. The battery of speech tasks will serve several purposes, such as measuring various elements of executive control (eg, attention and short-term memory), as well as measures of voice quality. Participants will then remotely self-administer speech tasks and follow-up symptom scales over a 4-week period. The primary objective is to assess the feasibility of remote collection of continuous narrative speech across a wide range of NPDs using self-administered speech tasks. Additionally, the study evaluates if acoustic and linguistic patterns can predict diagnostic group, as measured by the sensitivity, specificity, Cohen's kappa and area under the receiver operating characteristic curve of the binary classifiers distinguishing each diagnostic group from each other. Acoustic features analysed include mel-frequency cepstrum coefficients, formant frequencies, intensity and loudness, whereas text-based features such as number of words, noun and pronoun rate and idea density will also be used. ETHICS AND DISSEMINATION The study received ethical approval from the Health Research Authority and Health and Care Research Wales (REC reference: 21/PR/0070). Results will be disseminated through open access publication in academic journals, relevant conferences and other publicly accessible channels. Results will be made available to participants on request. TRIAL REGISTRATION NUMBER NCT04939818.
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Affiliation(s)
- Elliot Hampsey
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | | | | | - Rebecca Strawbridge
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | - Rosie H Taylor
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | | | - Dag Aarsland
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | - Ammar Al-Chalabi
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | - Ray Chaudhuri
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | | | | | - Aleksandra Podlewska
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Olabisi Awogbemila
- Parkinson's Foundation Centre of Excellence, King's College Hospital NHS Foundation Trust, London, UK
| | - Allan H Young
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
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831
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Wainberg M, Jacobs GR, Voineskos AN, Tripathy SJ. Neurobiological, familial and genetic risk factors for dimensional psychopathology in the Adolescent Brain Cognitive Development study. Mol Psychiatry 2022; 27:2731-2741. [PMID: 35361904 DOI: 10.1038/s41380-022-01522-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 02/27/2022] [Accepted: 03/10/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Adolescence is a key period for brain development and the emergence of psychopathology. The Adolescent Brain Cognitive Development (ABCD) study was created to study the biopsychosocial factors underlying healthy and pathological brain development during this period, and comprises the world's largest youth cohort with neuroimaging, family history and genetic data. METHODS We examined 9856 unrelated 9-to-10-year-old participants in the ABCD study drawn from 21 sites across the United States, of which 7662 had multimodal magnetic resonance imaging scans passing quality control, and 4447 were non-Hispanic white and used for polygenic risk score analyses. Using data available at baseline, we associated eight 'syndrome scale scores' from the Child Behavior Checklist-summarizing anxious/depressed symptoms, withdrawn/depressed symptoms, somatic complaints, social problems, thought problems, attention problems, rule-breaking behavior, and aggressive behavior-with resting-state functional and structural brain magnetic resonance imaging measures; eight indicators of family history of psychopathology; and polygenic risk scores for major depression, bipolar disorder, schizophrenia, attention deficit hyperactivity disorder (ADHD) and anorexia nervosa. As a sensitivity analysis, we excluded participants with clinically significant (>97th percentile) or borderline (93rd-97th percentile) scores for each dimension. RESULTS Most Child Behavior Checklist dimensions were associated with reduced functional connectivity within one or more of four large-scale brain networks-default mode, cingulo-parietal, dorsal attention, and retrosplenial-temporal. Several dimensions were also associated with increased functional connectivity between the default mode, dorsal attention, ventral attention and cingulo-opercular networks. Conversely, almost no global or regional brain structural measures were associated with any of the dimensions. Every family history indicator was associated with every dimension. Major depression polygenic risk was associated with six of the eight dimensions, whereas ADHD polygenic risk was exclusively associated with attention problems and externalizing behavior (rule-breaking and aggressive behavior). Bipolar disorder, schizophrenia and anorexia nervosa polygenic risk were not associated with any of the dimensions. Many associations remained statistically significant even after excluding participants with clinically significant or borderline psychopathology, suggesting that the same risk factors that contribute to clinically significant psychopathology also contribute to continuous variation within the clinically normal range. CONCLUSIONS This study codifies neurobiological, familial and genetic risk factors for dimensional psychopathology across a population-scale cohort of community-dwelling preadolescents. Future efforts are needed to understand how these multiple modalities of risk intersect to influence trajectories of psychopathology into late adolescence and adulthood.
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Affiliation(s)
- Michael Wainberg
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Grace R Jacobs
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Aristotle N Voineskos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Shreejoy J Tripathy
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada. .,Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada. .,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. .,Department of Physiology, University of Toronto, Toronto, Ontario, Canada.
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832
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Prins K, Huisman M, McLuskey A, Mies R, Karels B, Delhanty PJD, Visser JA. Ghrelin deficiency sex-dependently affects food intake, locomotor activity, and adipose and hepatic gene expression in a binge-eating mouse model. Am J Physiol Endocrinol Metab 2022; 322:E494-E507. [PMID: 35403437 DOI: 10.1152/ajpendo.00432.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Binge-eating disorder is the most prevalent eating disorder diagnosed, affecting three times more women than men. Ghrelin stimulates appetite and reward signaling, and loss of its receptor reduces binge-eating behavior in male mice. Here, we examined the influence of ghrelin itself on binge-eating behavior in both male and female mice. Five-wk-old wild-type (WT) and ghrelin-deficient (Ghrl-/-) mice were housed individually in indirect calorimetry cages for 9 wks. Binge-like eating was induced by giving mice ad libitum chow, but time-restricted access to a Western-style diet (WD; 2 h access, 3 days/wk) in the light phase (BE); control groups received ad libitum chow (CO), or ad libitum access to both diets (CW). All groups of BE mice showed binge-eating behavior, eating up to 60% of their 24-h intake during the WD access period. Subsequent dark phase chow intake was decreased in Ghrl-/- mice and remained decreased in Ghrl-/- females on nonbinge days. Also, nonbinge day locomotor activity was lower in Ghrl-/- than in WT BE females. Upon euthanasia, Ghrl-/- BE mice weighed less and had a lower lean body mass percentage than WT BE mice. In BE and CW groups, ghrelin and sex altered the expression of genes involved in lipid processing, thermogenesis, and aging in white adipose tissue and livers. We conclude that, although ghrelin deficiency does not hamper the development of binge-like eating, it sex-dependently alters food intake timing, locomotor activity, and metabolism. These results add to the growing body of evidence that ghrelin signaling is sexually dimorphic.NEW & NOTEWORTHY Ghrelin, a peptide hormone secreted from the gut, is involved in hunger and reward signaling, which are altered in binge-eating disorder. Although sex differences have been described in both binge-eating and ghrelin signaling, this interaction has not been fully elucidated. Here, we show that ghrelin deficiency affects the behavior and metabolism of mice in a binge-like eating paradigm, and that the sex of the mice impacts the magnitude and direction of these effects.
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Affiliation(s)
- Karina Prins
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Martin Huisman
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Anke McLuskey
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Rosinda Mies
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Bas Karels
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Patric J D Delhanty
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Jenny A Visser
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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833
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Polga N, Macul Ferreira de Barros P, Farhat LC, de Almeida KM, Bloch MH, Lafer B. Parental age and the risk of bipolar disorder in the offspring: A systematic review and meta-analysis. Acta Psychiatr Scand 2022; 145:568-577. [PMID: 35188977 DOI: 10.1111/acps.13418] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 12/21/2022]
Abstract
OBJECTIVES Whether parental age, i.e., paternal or maternal, at childbirth is associated with the risk of bipolar disorder (BD) in offspring remains unclear. We conducted a meta-analysis of observational studies to address this gap. METHODS PubMed, PsycINFO, Embase, and Web of Science were searched up to June 2021. Studies investigating the associations between parental age at childbirth (exposure) and the risk of BD in offspring (outcome) were eligible for inclusion in our study. Paternal and maternal age were examined separately. Odds ratio (OR) was used as the effect size index. Data were pooled through random-effects meta-analyses. RESULTS Seven studies involving 3,183,539 participants and 23,253 individuals with BD were included in our meta-analyses. Meta-analyses indicated an increased risk of BD in the offspring of the older paternal age groups (35-44 years old [k = 5; OR = 1.09; 95% CI 1.05, 1.14; p < 0.0001] and ≥45 years old [k = 5; OR = 1.44; 95% CI 1.19, 1.14; p = 0.0001]) in comparison with the reference category (25-34 years old). Meta-analysis also indicated an increased risk of BD in the offspring of the older maternal age group (≥40 years old [k = 3; OR = 1.20; 95% CI 1.10, 1.31; p < 0.0001]) in comparison with the reference category (20-29 years old). CONCLUSIONS Advanced paternal and maternal age were both associated with an increased risk of BD in offspring. Further studies are needed to investigate the mechanisms behind this association.
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Affiliation(s)
- Natália Polga
- Health and Society Institute, Federal University of São Paulo, Santos, Brazil.,Department & Institute of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo Medical School, Sao Paulo, Brazil
| | - Pedro Macul Ferreira de Barros
- Department & Institute of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo Medical School, Sao Paulo, Brazil
| | - Luis C Farhat
- Department & Institute of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo Medical School, Sao Paulo, Brazil
| | - Karla Mathias de Almeida
- Department & Institute of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo Medical School, Sao Paulo, Brazil
| | - Michael H Bloch
- Yale Child Study Center, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Beny Lafer
- Department & Institute of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo Medical School, Sao Paulo, Brazil
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834
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Fusar-Poli P, Estradé A, Stanghellini G, Venables J, Onwumere J, Messas G, Gilardi L, Nelson B, Patel V, Bonoldi I, Aragona M, Cabrera A, Rico J, Hoque A, Otaiku J, Hunter N, Tamelini MG, Maschião LF, Puchivailo MC, Piedade VL, Kéri P, Kpodo L, Sunkel C, Bao J, Shiers D, Kuipers E, Arango C, Maj M. The lived experience of psychosis: a bottom-up review co-written by experts by experience and academics. World Psychiatry 2022; 21:168-188. [PMID: 35524616 PMCID: PMC9077608 DOI: 10.1002/wps.20959] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Psychosis is the most ineffable experience of mental disorder. We provide here the first co-written bottom-up review of the lived experience of psychosis, whereby experts by experience primarily selected the subjective themes, that were subsequently enriched by phenomenologically-informed perspectives. First-person accounts within and outside the medical field were screened and discussed in collaborative workshops involving numerous individuals with lived experience of psychosis as well as family members and carers, representing a global network of organizations. The material was complemented by semantic analyses and shared across all collaborators in a cloud-based system. The early phases of psychosis (i.e., premorbid and prodromal stages) were found to be characterized by core existential themes including loss of common sense, perplexity and lack of immersion in the world with compromised vital contact with reality, heightened salience and a feeling that something important is about to happen, perturbation of the sense of self, and need to hide the tumultuous inner experiences. The first episode stage was found to be denoted by some transitory relief associated with the onset of delusions, intense self-referentiality and permeated self-world boundaries, tumultuous internal noise, and dissolution of the sense of self with social withdrawal. Core lived experiences of the later stages (i.e., relapsing and chronic) involved grieving personal losses, feeling split, and struggling to accept the constant inner chaos, the new self, the diagnosis and an uncertain future. The experience of receiving psychiatric treatments, such as inpatient and outpatient care, social interventions, psychological treatments and medications, included both positive and negative aspects, and was determined by the hope of achieving recovery, understood as an enduring journey of reconstructing the sense of personhood and re-establishing the lost bonds with others towards meaningful goals. These findings can inform clinical practice, research and education. Psychosis is one of the most painful and upsetting existential experiences, so dizzyingly alien to our usual patterns of life and so unspeakably enigmatic and human.
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Affiliation(s)
- Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- OASIS service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley, London, UK
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Giovanni Stanghellini
- Department of Psychological, Territorial and Health Sciences, "G. d'Annunzio" University, Chieti, Italy
- Center for Studies on Phenomenology and Psychiatry, Medical Faculty, "D. Portales" University, Santiago, Chile
| | - Jemma Venables
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Juliana Onwumere
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley, London, UK
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Bethlem Royal Hospital, South London and Maudsley NHS Foundation Trust, Beckenham, UK
| | - Guilherme Messas
- Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil
| | | | - Barnaby Nelson
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ilaria Bonoldi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - Ana Cabrera
- Asociación Española de Apoyo en Psicosis, Madrid, Spain
| | - Joseba Rico
- Asociación Española de Apoyo en Psicosis, Madrid, Spain
| | - Arif Hoque
- Young Person's Mental Health Advisory Group (YPMHAG), King's College London, London, UK
| | - Jummy Otaiku
- Young Person's Mental Health Advisory Group (YPMHAG), King's College London, London, UK
| | - Nicholas Hunter
- NHS South London and Maudsley (SLaM) Recovery College, London, UK
| | - Melissa G Tamelini
- Institute of Psychiatry, Hospital das Clínicas de São Paulo, São Paulo, Brazil
| | - Luca F Maschião
- Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil
| | - Mariana Cardoso Puchivailo
- Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil
- Department of Psychology, FAE University Center, Curitiba, Brazil
| | - Valter L Piedade
- Mental Health Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil
| | - Péter Kéri
- Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN-Europe), Brussels, Belgium
| | - Lily Kpodo
- South London and Maudsley NHS Foundation Trust, London, UK
| | | | - Jianan Bao
- OASIS service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Forensic and Neurodevelopment Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - David Shiers
- Psychosis Research Unit, Greater Manchester Mental Health Trust, Manchester, UK
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- School of Medicine, Keele University, Staffordshire, UK
| | - Elizabeth Kuipers
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley, London, UK
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Bethlem Royal Hospital, South London and Maudsley NHS Foundation Trust, Beckenham, UK
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, IiSGM, CIBERSAM, Complutense University of Madrid, Madrid, Spain
| | - Mario Maj
- Department of Psychiatry, University of Campania "L. Vanvitelli", Naples, Italy
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835
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Makary CA, Tumlin P, Asad F, Wasef K, Ramadan HH. Quality of Life Measurement for Adolescent Patients with Sinonasal Symptoms. Laryngoscope 2022; 133:1052-1058. [PMID: 35638256 DOI: 10.1002/lary.30232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 05/03/2022] [Accepted: 05/07/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVES To validate each of the sino-nasal outcome test (SNOT-22) and the sinus and nasal quality of life (SN5) surveys for the adolescent population defined as 12 to 18 years old, and to determine if they correlate in regard to reports of sinonasal symptoms and quality of life. STUDY DESIGN Cross-sectional study. METHODS Adolescent patients, age 12 to 18 years old, presenting to our otolaryngology clinic between August 2020 and June 2021 were asked to fill both the SNOT-22 and the SN5 forms. Demographics and comorbidities were reviewed. Patients recruited were then divided into a sinonasal cohort (those with chronic sinonasal symptoms) and a control cohort (those who did not have any sinonasal disorders at time of visit). RESULTS One hundred fifteen patients completed both surveys, 80 patients in the sinonasal cohort and 35 patients in the control cohort. Average age was 14.9 years, and 49.6% were female. Mean SNOT-22 and SN5 scores were significantly higher in the sinonasal cohort as compared with the control cohort which confirmed validity of both surveys for the adolescents. Good test-retest reliability for both surveys was obtained (r = 0.76 for SNOT-22, and r = 0.64 for SN5). SNOT-22 and SN5 scores correlated well in both the sinonasal cohort (r = 0.63, p < 0.0001) and the control cohort (r = 0.61, p = 0.0003). Both surveys strongly predicted chronic sinonasal disorders with an odds ratio of 2.5 for SNOT-22 and 2.2 for SN5. CONCLUSION Both instruments can be used to study the outcome of treatment for sinonasal disorders in adolescent patients. LEVEL OF EVIDENCE 4 Laryngoscope, 2022.
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Affiliation(s)
- Chadi A Makary
- Department of Otolaryngology, West Virginia University, Morgantown, West Virginia, USA
| | - Parker Tumlin
- Department of Otolaryngology, West Virginia University, Morgantown, West Virginia, USA
| | - Fatima Asad
- School of Medicine, West Virginia University, Morgantown, West Virginia, USA
| | - Kareem Wasef
- School of Medicine, West Virginia University, Morgantown, West Virginia, USA
| | - Hassan H Ramadan
- Department of Otolaryngology, West Virginia University, Morgantown, West Virginia, USA
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836
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Al Jowf GI, Ahmed ZT, An N, Reijnders RA, Ambrosino E, Rutten BPF, de Nijs L, Eijssen LMT. A Public Health Perspective of Post-Traumatic Stress Disorder. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:6474. [PMID: 35682057 PMCID: PMC9180718 DOI: 10.3390/ijerph19116474] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/20/2022] [Accepted: 05/23/2022] [Indexed: 11/25/2022]
Abstract
Trauma exposure is one of the most important and prevalent risk factors for mental and physical ill-health. Prolonged or excessive stress exposure increases the risk of a wide variety of mental and physical symptoms, resulting in a condition known as post-traumatic stress disorder (PTSD). The diagnosis might be challenging due to the complex pathophysiology and co-existence with other mental disorders. The prime factor for PTSD development is exposure to a stressor, which variably, along with peritraumatic conditions, affects disease progression and severity. Additionally, many factors are thought to influence the response to the stressor, and hence reshape the natural history and course of the disease. With sufficient knowledge about the disease, preventive and intervenient methods can be implemented to improve the quality of life of the patients and to limit both the medical and economic burden of the disease. This literature review provides a highlight of up-to-date literature on traumatic stress, with a focus on causes or triggers of stress, factors that influence response to stress, disease burden, and the application of the social-ecological public health model of disease prevention. In addition, it addresses therapeutic aspects, ethnic differences in traumatic stress, and future perspectives, including potential biomarkers.
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Affiliation(s)
- Ghazi I. Al Jowf
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands; (N.A.); (R.A.R.); (B.P.F.R.); (L.d.N.)
- Department of Public Health, College of Applied Medical Sciences, King Faisal University, Al-Ahsa 31982, Saudi Arabia
- European Graduate School of Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Ziyad T. Ahmed
- College of Medicine, Sulaiman Al Rajhi University, Al-Bukairyah 52726, Saudi Arabia;
| | - Ning An
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands; (N.A.); (R.A.R.); (B.P.F.R.); (L.d.N.)
- European Graduate School of Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Rick A. Reijnders
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands; (N.A.); (R.A.R.); (B.P.F.R.); (L.d.N.)
- European Graduate School of Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Elena Ambrosino
- Institute for Public Health Genomics, Department of Genetics and Cell Biology, Research School GROW (School for Oncology and Reproduction), Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands;
| | - Bart P. F. Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands; (N.A.); (R.A.R.); (B.P.F.R.); (L.d.N.)
- European Graduate School of Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Laurence de Nijs
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands; (N.A.); (R.A.R.); (B.P.F.R.); (L.d.N.)
- European Graduate School of Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Lars M. T. Eijssen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands; (N.A.); (R.A.R.); (B.P.F.R.); (L.d.N.)
- European Graduate School of Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands
- Department of Bioinformatics—BiGCaT, School of Nutrition and Translational Research in Metabolism (NUTRIM), Faculty of Health, Medicine and Life Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
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837
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Fleming T, Ball J, Bavin L, Rivera-Rodriguez C, Peiris-John R, Crengle S, Sutcliffe K, Lewycka S, Archer D, Clark TC. Mixed progress in adolescent health and wellbeing in Aotearoa New Zealand 2001–2019: a population overview from the Youth2000 survey series. J R Soc N Z 2022. [DOI: 10.1080/03036758.2022.2072349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Theresa Fleming
- School of HealthTe Herenga Waka
- Victoria University of Wellington, Wellington, New Zealand
| | - Jude Ball
- Department of Public Health, University of Otago, Wellington, New Zealand
| | - Lynda Bavin
- School of Population Health University of Auckland, Auckland, New Zealand
| | | | - Roshini Peiris-John
- Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Sue Crengle
- Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand
| | - Kylie Sutcliffe
- School of HealthTe Herenga Waka
- Victoria University of Wellington, Wellington, New Zealand
| | - Sonia Lewycka
- Centre for Tropical Medicine and Global HealthUniversity of Oxford, Hanoi, Vietnam
| | - Dan Archer
- School of HealthTe Herenga Waka
- Victoria University of Wellington, Wellington, New Zealand
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838
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Watanabe TK. Recovery After Sports Concussions: Focus on Psychological Factors. CURRENT PHYSICAL MEDICINE AND REHABILITATION REPORTS 2022. [DOI: 10.1007/s40141-022-00353-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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839
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Birnbaum ML, Garrett C, Baumel A, Germano NT, Lee C, Sosa D, Ngo H, Fox KH, Dixon L, Kane JM. Digital Strategies to Accelerate Help-Seeking in Youth With Psychiatric Concerns in New York State. Front Psychiatry 2022; 13:889602. [PMID: 35664474 PMCID: PMC9157179 DOI: 10.3389/fpsyt.2022.889602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
Background Mental illness in transition age youth is common and treatment initiation is often delayed. Youth overwhelmingly report utilizing the Internet to gather information while psychiatric symptoms emerge, however, most are not yet ready to receive a referral to care, forestalling the established benefit of early intervention. Methods A digital outreach campaign and interactive online care navigation platform was developed and deployed in New York State on October 22, 2020. The campaign offers live connection to a peer or counselor, a self-assessment mental health quiz, and educational material all designed to promote help-seeking in youth and their allies. Results Between October 22, 2020 and July 31, 2021, the campaign resulted in 581,981 ad impressions, 16,665 (2.9%) clicks, and 13,717 (2.4%) unique website visitors. A third (4,562, 33.2%) completed the quiz and 793 (0.1%) left contact information. Of those, 173 (21.8%) completed a virtual assessment and 155 (19.5%) resulted in a referral to care. The median age of those referred was 21 years (IQR = 11) and 40% were considered to be from low-income areas. Among quiz completers, youth endorsing symptoms of depression or anxiety were more likely to leave contact information (OR = 2.18, 95% CI [1.39, 3.41] and OR = 1.69, 95% CI [1.31, 2.19], respectively) compared to those not reporting symptoms of depression or anxiety. Youth endorsing symptoms of psychosis were less likely to report a desire to receive a referral to care (OR = 0.58, 95% CI [0.43, 0.80]) compared to those who did not endorse symptoms of psychosis. Conclusion Self-reported symptomatology impact trajectories to care, even at the earliest stages of help-seeking, while youth and their allies are searching for information online. An online care navigation team could serve as an important resource for individuals with emerging behavioral health concerns and help to guide the transition between online information seeking at baseline to care.
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Affiliation(s)
- Michael L. Birnbaum
- The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States
- The Feinstein Institutes for Medical Research, Manhasset, NY, United States
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
| | - Chantel Garrett
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, United States
| | - Amit Baumel
- Department of Community Mental Health, University of Haifa, Haifa, Israel
| | - Nicole T. Germano
- The Feinstein Institutes for Medical Research, Manhasset, NY, United States
| | - Cynthia Lee
- The Feinstein Institutes for Medical Research, Manhasset, NY, United States
| | - Danny Sosa
- The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States
- The Feinstein Institutes for Medical Research, Manhasset, NY, United States
| | - Hong Ngo
- Department of Psychiatry, New York State Psychiatric Institute, New York, NY, United States
| | - Kira H. Fox
- Department of Psychology, Barnard College, Columbia University, New York, NY, United States
| | - Lisa Dixon
- Department of Psychiatry, New York State Psychiatric Institute, New York, NY, United States
| | - John M. Kane
- The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States
- The Feinstein Institutes for Medical Research, Manhasset, NY, United States
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
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840
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Tymofiyeva O, Hu MY, Sipes BS, Jakary A, Glidden DV, Jariwala N, Bhandari S, Parks KC, Nguyen C, Henje E, Yang TT. A Feasibility Study of a Remotely-Delivered Mindfulness-Based Training for Adolescents During the COVID-19 Pandemic. Front Psychiatry 2022; 13:838694. [PMID: 35633797 PMCID: PMC9133427 DOI: 10.3389/fpsyt.2022.838694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 03/17/2022] [Indexed: 11/17/2022] Open
Abstract
Social distancing, home confinement, economic challenges, and COVID-19-related illness and deaths during the COVID-19 pandemic can significantly affect mental health in youth. One promising approach to reduce anxiety and depression in adolescents is the neuroscience-based mindfulness intervention Training for Awareness, Resilience, and Action (TARA). The objective of this individually randomized waitlist-controlled trial (RCT) was (1) to test the feasibility of TARA, delivered partially over Zoom, and (2) to assess changes in the emotional wellbeing in healthy adolescents between the ages of 14-18 years old during the COVID-19 pandemic. METHODS Twenty-one healthy adolescents were randomized to the TARA intervention or to the waitlist control group in February 2020, just before the start of the pandemic. The TARA group intervention was delivered in person for the first five sessions and remotely over Zoom for the remaining seven sessions due to the pandemic. The participants' acceptability of TARA was assessed weekly using the Child Session Rating Scale (CSRS). The primary outcome was the emotional wellbeing measured using emotional symptoms subscale of the Strengths and Difficulties Questionnaire (SDQ) pre/post-TARA. We also explored weekly changes in TARA participants' wellbeing using the Child Outcome Rating Scale (CORS). RESULTS The overall session rating in TARA participants improved after the switch to Zoom (Cohen's d = 1.2, p = 0.008). The results of the two-way ANOVA showed no statistically significant difference in the change of the SDQ emotional symptoms during the 12 weeks between the TARA group and waitlist-control group (timepoint × group interaction: F = 0.77, p = 0.38). The exploratory analysis using the CORS in the TARA participants showed a significant improvement in their functioning over the weeks of training. CONCLUSION Our results support the feasibility of TARA delivered over Zoom. While our primary outcome did not provide support for the improvement of the emotional wellbeing with TARA compared to a passive control group, our exploratory analysis in the intervention group indicated an improved functioning over the weeks of TARA training. The important general positive impact of this study lies in the possibility of offering a neuroscience-based mindfulness intervention remotely to youth living in remote areas and for all youth during pandemic times.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Melody Y. Hu
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Langley Porter Psychiatric Institute, University of California, San Francisco, San Francisco, CA, United States
| | - Benjamin S. Sipes
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Angela Jakary
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - David V. Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Namasvi Jariwala
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Sarina Bhandari
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Kendall C. Parks
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Ca Nguyen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Eva Henje
- Department of Clinical Science, Child and Adolescent Psychiatry, Umeå University, Umeå, Sweden
| | - Tony T. Yang
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Langley Porter Psychiatric Institute, University of California, San Francisco, San Francisco, CA, United States
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
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841
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Glowacki K, Whyte M, Weinstein J, Marchand K, Barbic D, Scheuermeyer F, Mathias S, Barbic S. Exploring how to enhance care and pathways between the emergency department and integrated youth services for young people with mental health and substance use concerns. BMC Health Serv Res 2022; 22:615. [PMID: 35525965 PMCID: PMC9077976 DOI: 10.1186/s12913-022-07990-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/20/2022] [Indexed: 11/10/2022] Open
Abstract
Background Integrated youth services (IYS) provide multidisciplinary care (including mental, physical, and social) prioritizing the needs of young people and their families. Despite a significant rise in emergency department (ED) visits by young Canadians with mental health and substance use (MHSU) concerns over the last decade, there remains a profound disconnect between EDs and MHSU integrated youth services. The first objective of this study was to better understand the assessment, treatment, and referral of young people (ages 12–24 years) presenting to the ED with MHSU concerns. The second objective was to explore how to improve the transition from the ED to IYS for young people with MHSU concerns. Methods We conducted semi-structured one-on-one video and phone interviews with stakeholders in British Columbia, Canada in the summer of 2020. Snowball sampling was utilized, and participants (n = 26) were reached, including ED physicians (n = 6), social workers (n = 4), nurses (n = 2), an occupational therapist (n = 1); a counselor (n = 1); staff/leadership in IYS organizations (n = 4); mental health/family workers (n = 3); peer support workers (n = 2), and parents (n = 3). A thematic analysis (TA) was conducted using a deductive and inductive approach conceptually guided by the Social Ecological Model. Results We identified three overarching themes, and factors to consider at all levels of the Social Ecological Model. At the interpersonal level inadequate communication between ED staff and young people affected overall care and contributed to negative experiences. At the organizational level, we identified considerations for assessments and the ED and the hospital (wait times, staffing issues, and the physical space). At the community level, the environment of IYS and other community services were important including wait times and hours of operation. Policy level factors identified include inadequate communication between services (e.g., different charting systems and documentation). Conclusions This study provides insight into important long-term systemic issues and more immediate factors that need to be addressed to improve the delivery of care for young people with MHSU challenges. This research supports intervention development and implementation in the ED for young people with MHSU concerns.
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Affiliation(s)
- Krista Glowacki
- Department of Occupational Science and Occupational Therapy, The University of British Columbia, Faculty of Medicine, T325 - 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada. .,Foundry Central Office, Providence Health Care, 1881 Burrard, Vancouver, BC, V5G 7H9, Canada. .,Centre for Health Evaluation & Outcome Sciences, Providence Health Care, #588-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada. .,Providence Health Care Research Institute 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
| | - Madelyn Whyte
- Foundry Central Office, Providence Health Care, 1881 Burrard, Vancouver, BC, V5G 7H9, Canada
| | - Jade Weinstein
- Department of Occupational Science and Occupational Therapy, The University of British Columbia, Faculty of Medicine, T325 - 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Kirsten Marchand
- Department of Occupational Science and Occupational Therapy, The University of British Columbia, Faculty of Medicine, T325 - 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.,Foundry Central Office, Providence Health Care, 1881 Burrard, Vancouver, BC, V5G 7H9, Canada.,Centre for Health Evaluation & Outcome Sciences, Providence Health Care, #588-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.,Providence Health Care Research Institute 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada
| | - David Barbic
- Centre for Health Evaluation & Outcome Sciences, Providence Health Care, #588-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.,Department of Emergency Medicine, St Paul's Hospital and the University of British Columbia, 1081 Burrard St, Vancouver, BC, V6Y 1Z6, Canada
| | - Frank Scheuermeyer
- Department of Emergency Medicine, St Paul's Hospital and the University of British Columbia, 1081 Burrard St, Vancouver, BC, V6Y 1Z6, Canada
| | - Steve Mathias
- Foundry Central Office, Providence Health Care, 1881 Burrard, Vancouver, BC, V5G 7H9, Canada.,Providence Health Care Research Institute 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.,Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.,Department of Psychiatry, Providence Health Care, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Skye Barbic
- Department of Occupational Science and Occupational Therapy, The University of British Columbia, Faculty of Medicine, T325 - 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.,Foundry Central Office, Providence Health Care, 1881 Burrard, Vancouver, BC, V5G 7H9, Canada.,Centre for Health Evaluation & Outcome Sciences, Providence Health Care, #588-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.,Providence Health Care Research Institute 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada
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842
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Carlson GA. Pediatric bipolar disorder: A recurrent or chronic debate? Bipolar Disord 2022; 24:229-231. [PMID: 34850508 DOI: 10.1111/bdi.13158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Gabrielle A Carlson
- Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, USA
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843
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Tesli M, Degerud E, Plana‐Ripoll O, Gustavson K, Torvik FA, Ystrom E, Ask H, Tesli N, Høye A, Stoltenberg C, Reichborn‐Kjennerud T, Nesvåg R, Næss Ø. Educational attainment and mortality in schizophrenia. Acta Psychiatr Scand 2022; 145:481-493. [PMID: 35152418 PMCID: PMC9305099 DOI: 10.1111/acps.13407] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 01/30/2022] [Accepted: 02/01/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Individuals suffering from schizophrenia have a reduced life expectancy with cardiovascular disease (CVD) as a major contributor. Low educational attainment is associated with schizophrenia, as well as with all-cause and CVD mortality. However, it is unknown to what extent low educational attainment can explain the increased mortality in individuals with schizophrenia. AIM Here, we quantify associations between educational attainment and all-cause and CVD mortality in individuals with schizophrenia, and compare them with the corresponding associations in the general population. METHOD All Norwegian citizens born between January 1, 1925, and December 31, 1959, were followed up from January 1, 1990, to December 31, 2014. The total sample included 1,852,113 individuals, of which 6548 were registered with schizophrenia. We estimated hazard ratios (HR) for all-cause and CVD mortality with Cox models, in addition to life years lost. Educational attainment for index persons and their parents were included in the models. RESULTS In the general population individuals with low educational attainment had higher risk of all-cause (HR: 1.48 [95% CI: 1.47-1.49]) and CVD (HR: 1.59 [95% CI: 1.57-1.61]) mortality. In individuals with schizophrenia these estimates were substantially lower (all-cause: HR: 1.13 [95% CI: 1.05-1.21] and CVD: HR: 1.12 [95% CI: 0.98-1.27]). Low educational attainment accounted for 3.28 (3.21-3.35) life years lost in males and 2.48 (2.42-2.55) years in females in the general population, but was not significantly associated with life years lost in individuals with schizophrenia. Results were similar for parental educational attainment. CONCLUSIONS Our results indicate that while individuals with schizophrenia in general have lower educational attainment and higher mortality rates compared with the general population, the association between educational attainment and mortality is smaller in schizophrenia subjects than in the general population.
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Affiliation(s)
- Martin Tesli
- Norwegian Institute of Public HealthOsloNorway,Norwegian Centre for Mental Disorders ResearchOslo University HospitalOsloNorway
| | | | - Oleguer Plana‐Ripoll
- Department of Economics and Business EconomicsNational Centre for Register‐Based ResearchAarhus UniversityAarhus VDenmark,Department of Clinical EpidemiologyAarhus University and Aarhus University HospitalAarhus NDenmark
| | - Kristin Gustavson
- Norwegian Institute of Public HealthOsloNorway,Department of PsychologyUniversity of OsloOsloNorway
| | - Fartein Ask Torvik
- Norwegian Institute of Public HealthOsloNorway,Department of PsychologyUniversity of OsloOsloNorway
| | - Eivind Ystrom
- Norwegian Institute of Public HealthOsloNorway,Department of PsychologyUniversity of OsloOsloNorway,PharmacoEpidemiology and Drug Safety Research GroupSchool of PharmacyUniversity of OsloOsloNorway
| | - Helga Ask
- Norwegian Institute of Public HealthOsloNorway
| | - Natalia Tesli
- Norwegian Centre for Mental Disorders ResearchOslo University HospitalOsloNorway
| | - Anne Høye
- Division of Mental Health and Substance AbuseUniversity Hospital of North NorwayTromsøNorway,Department of Clinical MedicineThe Arctic University of NorwayTromsøNorway
| | - Camilla Stoltenberg
- Norwegian Institute of Public HealthOsloNorway,Department of Global Public Health and Primary CareUniversity of BergenBergenNorway
| | - Ted Reichborn‐Kjennerud
- Norwegian Institute of Public HealthOsloNorway,Institute of Clinical MedicineUniversity of OsloOsloNorway
| | | | - Øyvind Næss
- Norwegian Institute of Public HealthOsloNorway,Institute of Health and SocietyUniversity of OsloOsloNorway
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844
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Rapee RM, Magson NR, Forbes MK, Richardson CE, Johnco CJ, Oar EL, Fardouly J. Risk for social anxiety in early adolescence: Longitudinal impact of pubertal development, appearance comparisons, and peer connections. Behav Res Ther 2022; 154:104126. [DOI: 10.1016/j.brat.2022.104126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 11/25/2022]
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 520] [Impact Index Per Article: 260.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Affiliation(s)
- R A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - J Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
| | - S R White
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - J W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - K M Anderson
- Department of Psychology, Yale University, New Haven, CT, USA
| | - C Adamson
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S Adler
- UCL Great Ormond Street Institute for Child Health, London, UK
| | - G S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA
| | - E Anagnostou
- Department of Pediatrics University of Toronto, Toronto, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - A Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba
| | - D E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - B Auyeung
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - M Ayub
- Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
- University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK
| | - J Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - G Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - S Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - R Beare
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S A Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - V Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - J Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - M Blesa Cábez
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - J P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - M Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J F Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada
- McGill University, Montreal, Quebec, Canada
| | - N Bourke
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, Dementia Research Institute, London, UK
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - M M Chakravarty
- McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - C Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - C Chertavian
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - G Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Y S Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J H Cole
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Dementia Research Centre (DRC), University College London, London, UK
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec, Canada
- Undergraduate program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - E Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
- Autism Center of Excellence, University of California, San Diego, San Diego, CA, USA
| | - F Crivello
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
| | - V L Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - J Crosbie
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - N Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
| | - M Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - R Delorme
- Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - S Desrivieres
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G A Devenyi
- Cerebral Imaging Centre, McGill Department of Psychiatry, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M A Di Biase
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, London, UK
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - G Donohoe
- Center for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - K Dunlop
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - A D Edwards
- Centre for the Developing Brain, King's College London, London, UK
- Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, London, UK
| | - J T Elison
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - C T Ellis
- Department of Psychology, Yale University, New Haven, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - J A Elman
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - L Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - D A Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - E Feczko
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - P C Fletcher
- Department of Psychiatry, University of Cambridge, and Wellcome Trust MRC Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - P Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - C E Franz
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | | | - A Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - J Giedd
- Department of Child and Adolescent Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - D C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - I M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - P E Grant
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - F M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - C F Hammill
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Mouse Imaging Centre, Toronto, Ontario, Canada
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - T Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin, Germany
| | - R N Henson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - K Heuer
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Université de Paris, Paris, France
| | - J Hoare
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - B Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, India
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, NIMHANS, Bengaluru, India
| | - A J Holmes
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - R Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Im
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ipser
- Department of Psychiatry and Mental Health, Clinical Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - C R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - A P Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry, Beijing, China
| | - T Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - K A Johnson
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - P B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - D T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - R S Kahn
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - H Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - L Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - R Kawashima
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - E A Kelley
- Queen's University, Departments of Psychology and Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - K W Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - M G Kitzbichler
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - W S Kremen
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - F Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - B Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - S Lee
- Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - J Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - J Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - W Liao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - M V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - J Lv
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- School of Biomedical Engineering and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - C Lynch
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - T T Mallard
- Department of Psychology, University of Texas, Austin, TX, USA
| | - M Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
| | - R D Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - B Mazoyer
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A Mechelli
- Bordeaux University Hospital, Bordeaux, France
| | - N Medic
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S E Morgan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - D Mothersill
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
- School of Psychology and Center for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - J Nigg
- Department of Psychiatry, School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - M Q W Ong
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - C Ortinau
- Department of Pediatrics, Washington University in St Louis, St Louis, MO, USA
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - M Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L Palaniyappan
- Robarts Research Institute and The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - L Paly
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - P M Pan
- Department of Psychiatry, Federal University of Sao Poalo (UNIFESP), Sao Poalo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Melbourne School of Engineering, The University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - M M Park
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - T Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Z Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - D Paz-Linares
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - A Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - K Pierce
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - X Qian
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - A Qiu
- Department of Biomedical Engineering, The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - A Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - T Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - A Rodrigue
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - C K Rollins
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - R Romero-Garcia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Dpto. de Fisiología Médica y Biofísica, Seville, Spain
| | - L Ronan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - M D Rosenberg
- Department of Psychology and Neuroscience Institute, University of Chicago, Chicago, IL, USA
| | - D H Rowitch
- Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - G A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - H L Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
| | - R J Schachar
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - A P Schultz
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - G Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- PONS-Centre, Charite Mental Health, Dept of Psychiatry and Psychotherapy, Charite Campus Mitte, Berlin, Germany
| | - M Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen's Square Institute of Neurology, University College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - R T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - C D Smyser
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - R A Sperling
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - D J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - A Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - G Sullivan
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Y Taki
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - B Thyreau
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - R Toro
- Université de Paris, Paris, France
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - N Traut
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - K A Tsvetanov
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - N B Turk-Browne
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - J J Tuulari
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Medicine, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
| | - C Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - É Vachon-Presseau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - P A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Alan Edwards Centre for Research on Pain (AECRP), McGill University, Montreal, Quebec, Canada
| | - S L Valk
- Institute for Neuroscience and Medicine 7, Forschungszentrum Jülich, Jülich, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - T van Amelsvoort
- Department of Psychiatry and Neurosychology, Maastricht University, Maastricht, The Netherlands
| | - S N Vandekar
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Vasung
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - L W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - S Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - P E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - K Wagstyl
- Wellcome Centre for Human Neuroimaging, London, UK
| | - Y S Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - S K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - V Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - E Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M L Westwater
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - N Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - B Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - H Yun
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - H J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - J H Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - H Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
| | - X N Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain and Education, School of Education Science, Nanning Normal University, Nanning, China
| | - E T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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846
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Klaufus L, Verlinden E, van der Wal M, Cuijpers P, Chinapaw M, Smit F. Adolescent anxiety and depression: burden of disease study in 53,894 secondary school pupils in the Netherlands. BMC Psychiatry 2022; 22:225. [PMID: 35354437 PMCID: PMC8969267 DOI: 10.1186/s12888-022-03868-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 02/28/2022] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Prevalence rates of anxiety and depression in adolescence are rising markedly in early adolescence. It is important to quantify the non-fatal disease burden of anxiety and depression, such that early interventions can be well targeted, and resources can be allocated in a just and optimal way. This study aimed to estimate the non-fatal disease burden of anxiety and depression with and without suicidal ideation in girls and boys aged 13, 14, and 15 years. METHODS Participants were 53,894 secondary school pupils who completed health questionnaires between September 2018 and July 2019. A design-based approach was used for complex survey data with post-stratification weights and taking clustering at school-level into account. At individual level, disability weights (DWs) were calculated for each disorder. At population level, DWs were multiplied by the point-prevalence per one thousand population of the respective disorders to compute years lived with disability (YLD). DWs and YLD of anxiety and depression were calculated with and without adjustment for comorbid eating disorders, substance use disorders and somatic illnesses. RESULTS The unadjusted DW of depression with suicidal ideation (0.30) was greater than without suicidal ideation (0.26), and both were greater than the DW of anxiety (0.24). A similar ranking was obtained after adjusting for comorbidities. At population level, where the prevalence of the disorders come into play, the YLD disease burden was greatest for anxiety, followed by depression with suicidal ideation and depression without suicidal ideation with 17.40, 9.85, and 5.28 YLD per one thousand population, unadjusted for comorbidities. This pattern was the same after adjustment, but then the total YLD of depression with and without suicidal ideation was similar to the YLD of anxiety (12.47 and 12.46, respectively). Girls showed a significantly greater YLD burden of anxiety and depression than boys, but no differences were found between different age groups. CONCLUSIONS From an individual clinical perspective, depression, especially when accompanied by suicidal ideation, was identified as a major health concern, especially in girls. From a public health perspective, both anxiety and depression, especially when accompanied by suicidal ideation, were identified as major drivers of disease burden, again most notably in girls.
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Affiliation(s)
- Leonie Klaufus
- Department of Epidemiology, Health Promotion and Health Care Innovation, Public Health Service Amsterdam, Nieuwe Achtergracht 100, 1018WT, Amsterdam, the Netherlands. .,Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
| | - Eva Verlinden
- grid.413928.50000 0000 9418 9094Department of Epidemiology, Health Promotion and Health Care Innovation, Public Health Service Amsterdam, Nieuwe Achtergracht 100, 1018WT Amsterdam, the Netherlands
| | - Marcel van der Wal
- grid.413928.50000 0000 9418 9094Department of Epidemiology, Health Promotion and Health Care Innovation, Public Health Service Amsterdam, Nieuwe Achtergracht 100, 1018WT Amsterdam, the Netherlands
| | - Pim Cuijpers
- grid.16872.3a0000 0004 0435 165XDepartment of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Mai Chinapaw
- grid.12380.380000 0004 1754 9227Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Filip Smit
- grid.16872.3a0000 0004 0435 165XDepartment of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands ,grid.16872.3a0000 0004 0435 165XDepartment of Epidemiology and Biostatistics, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, the Netherlands ,grid.416017.50000 0001 0835 8259Department of Mental Health and Prevention, Trimbos Institute (Netherlands Institute of Mental Health and Addition), Utrecht, the Netherlands
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847
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Harder A, Nguyen TD, Pasman JA, Mosing MA, Hägg S, Lu Y. Genetics of age-at-onset in major depression. Transl Psychiatry 2022; 12:124. [PMID: 35347114 PMCID: PMC8960842 DOI: 10.1038/s41398-022-01888-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/19/2021] [Indexed: 12/17/2022] Open
Abstract
Major depression (MD) is a complex, heterogeneous neuropsychiatric disorder. An early age at onset of major depression (AAO-MD) has been associated with more severe illness, psychosis, and suicidality. However, not much is known about what contributes to individual variation in this important clinical characteristic. This study sought to investigate the genetic components underlying AAO-MD. To investigate the genetics of AAO-MD, we conducted a genome-wide association meta-analysis of AAO-MD based on self-reported age of symptoms onset and self-reported age at first diagnosis from the UK Biobank cohort (total N = 94,154). We examined the genetic relationship between AAO-MD and five other psychiatric disorders. Polygenic risk scores were derived to examine their association with five psychiatric outcomes and AAO-MD in independent sub-samples. We found a small but significant SNP-heritability (~6%) for the AAO-MD phenotype. No SNP or gene reached SNP or gene-level significance. We found evidence that AAO-MD has genetic overlap with MD risk ([Formula: see text] = -0.49). Similarly, we found shared genetic risks between AAO-MD and autism-spectrum disorder, schizophrenia, bipolar disorder, and anorexia nervosa ([Formula: see text] range: -0.3 to -0.5). Polygenic risk scores for AAO-MD were associated with MD, schizophrenia, and bipolar disorder, and AAO-MD was in turn associated with polygenic risk scores derived from these disorders. Overall, our results indicate that AAO-MD is heritable, and there is an inverse genetic relationship between AAO-MD and both major depression and other psychiatric disorders, meaning that SNPs associated with earlier age at onset tend to increase the risk for psychiatric disorders. These findings suggest that the genetics of AAO-MD contribute to the shared genetic architecture observed between psychiatric disorders.
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Affiliation(s)
- Arvid Harder
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Thuy-Dung Nguyen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Joëlle A Pasman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Miriam A Mosing
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany.,Melbourne School of Psychological Sciences, Faculty for Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. .,Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
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848
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Dugré JR, Eickhoff SB, Potvin S. Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders. Sci Rep 2022; 12:4909. [PMID: 35318371 PMCID: PMC8941086 DOI: 10.1038/s41598-022-08909-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/09/2022] [Indexed: 01/04/2023] Open
Abstract
In the last decades, neuroimaging studies have attempted to unveil the neurobiological markers underlying pediatric psychiatric disorders. Yet, the vast majority of neuroimaging studies still focus on a single nosological category, which limit our understanding of the shared/specific neural correlates between these disorders. Therefore, we aimed to investigate the transdiagnostic neural correlates through a novel and data-driven meta-analytical method. A data-driven meta-analysis was carried out which grouped similar experiments’ topographic map together, irrespectively of nosological categories and task-characteristics. Then, activation likelihood estimation meta-analysis was performed on each group of experiments to extract spatially convergent brain regions. One hundred forty-seven experiments were retrieved (3124 cases compared to 3100 controls): 79 attention-deficit/hyperactivity disorder, 32 conduct/oppositional defiant disorder, 14 anxiety disorders, 22 major depressive disorders. Four significant groups of experiments were observed. Functional characterization suggested that these groups of aberrant brain regions may be implicated internally/externally directed processes, attentional control of affect, somato-motor and visual processes. Furthermore, despite that some differences in rates of studies involving major depressive disorders were noticed, nosological categories were evenly distributed between these four sets of regions. Our results may reflect transdiagnostic neural correlates of pediatric psychiatric disorders, but also underscore the importance of studying pediatric psychiatric disorders simultaneously rather than independently to examine differences between disorders.
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Affiliation(s)
- Jules R Dugré
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada. .,Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, Canada.
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-7), Jülich, Germany.,Institute for Systems Neuroscience, Heinrich Heine University, Düsseldorf, Germany
| | - Stéphane Potvin
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada. .,Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, Canada.
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849
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Schanz CG, Equit M, Schäfer SK, Michael T. Self-directed passive-aggressive behaviour as an essential component of depression: findings from two cross-sectional observational studies. BMC Psychiatry 2022; 22:200. [PMID: 35303807 PMCID: PMC8933131 DOI: 10.1186/s12888-022-03850-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 02/25/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The self-control model of depression suggests depressive symptoms to derive from distorted self-monitoring, dysfunctional self-evaluation and reduced self-reward as well as increased self-punishment. Building on this model a relationship between self-directed passive-aggressive behaviour, that is, harmful inactivity, and depression has been assumed. This association has been supported by a recent study in an inpatient sample. However, it remains unclear if patients with depressive disorders report more self-directed passive-aggressive behaviour than patients without depressive disorders and if self-directed passive aggression mediates the associations between distorted self-monitoring and dysfunctional self-evaluation with depressive symptoms. METHODS Study 1 compared self-directed passive-aggressive behaviour levels between 220 psychotherapy outpatients with (n = 140; 67.9% female; Mage = 40.0) and without (n = 80; 65.0% female; Mage = 36.2) depressive disorders. Diagnoses were made based on the Structured Clinical Interview for DSM-IV. Study 2 examined self-directed passive-aggressive behaviour as a mediator of the relationship between distorted self-monitoring and dysfunctional self-evaluation and self-reported depressive symptoms in 200 undergraduate Psychology students. RESULTS Compared to outpatients without depressive disorders, outpatients with depressive disorder reported significantly more self-directed passive aggression (d = 0.51). Furthermore, Study 2 verified self-directed passive-aggressive behaviour as a partial mediator of the relationship between dysfunctional attitudes (abcs = .22, 95%-CI: .14, .31), attributional style (abcs = .20, 95%-CI: .13, .27), ruminative response style (abcs = .15, 95%-CI: .09, .21) and depressive symptoms. CONCLUSION Self-directed passive-aggressive behaviour partially mediates the association between distorted self-monitoring and dysfunctional self-evaluation with depressive symptoms. Future longitudinal studies need to examine a potential causal relationship that would form a base to include interventions targeting self-directed passive-aggressive behaviour in prevention and treatment of depression. TRIAL REGISTRATION Both studies were preregistered at the German Clinical Trials Register ( DRKS00014005 and DRKS00019020 ).
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Affiliation(s)
- C G Schanz
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, Saarland University, Saarbruecken, Germany
| | - M Equit
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, Saarland University, Saarbruecken, Germany
| | - S K Schäfer
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, Saarland University, Saarbruecken, Germany
| | - T Michael
- Division of Clinical Psychology and Psychotherapy, Department of Psychology, Saarland University, Saarbruecken, Germany.
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850
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Napoletano F, Andlauer O, Murguia-Asensio S, Eranti SV, Akyuz E, Estradé A, Buhagiar J, David C, Fusar-Poli P, Gupta S. Establishing a business case for setting up early detection services for preventing psychosis. BJPsych Bull 2022; 47:156-165. [PMID: 35289263 DOI: 10.1192/bjb.2022.7] [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] [Indexed: 01/17/2023] Open
Abstract
Under standard care, psychotic disorders can have limited response to treatments, high rates of chronicity and disability, negative impacts on families, and wider social and economic costs. In an effort to improve early detection and care of individuals developing a psychotic illness, early intervention in psychosis services and early detection services have been set up in various countries since the 1980s. In April 2016, NHS England implemented a new 'access and waiting times' standard for early intervention in psychosis to extend the prevention of psychosis across England. Unfortunately, early intervention and early detection services are still not uniformly distributed in the UK, leaving gaps in service provision. The aim of this paper is to provide a business case model that can guide clinicians and services looking to set up or expand early detection services in their area. The paper also focuses on some existing models of care within the Pan-London Network for Psychosis Prevention teams.
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Affiliation(s)
| | - Olivier Andlauer
- East London NHS Foundation Trust, London, UK.,Queen Mary University of London, London, UK
| | | | | | - Elvan Akyuz
- North East London NHS Foundation Trust, London, UK
| | - Andrés Estradé
- King's College London, UK.,Catholic University, Montevideo, Uruguay
| | | | | | - Paolo Fusar-Poli
- King's College London, UK.,South London and Maudsley NHS Foundation Trust, London, UK.,University of Pavia, Italy
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