A systematic review of transdiagnostic risk and protective factors for general and specific psychopathology in young people
Tài liệu tham khảo
Abdi, 2010, Principal component analysis, Wiley Interdisciplinary Reviews: Computational Statistics, 2, 433, 10.1002/wics.101
Achenbach, 1966, The classification of children’s psychiatric symptoms: A factor-analytic study, Psychological Monographs, 80, 1, 10.1037/h0093906
Achenbach, 2001
Aldao, 2016, Emotion regulation as a transdiagnostic factor in the development of internalizing and externalizing psychopathology: Current and future directions, Development and Psychopathology, 28, 927, 10.1017/S0954579416000638
van Bork, 2017, What is the p-factor of psychopathology? Some risks of general factor modeling, Theory and Psychology, 27, 759, 10.1177/0959354317737185
Borsboom, 2017, A network theory of mental disorders, World Psychiatry, 16, 5, 10.1002/wps.20375
Boschloo, 2016, The network structure of psychopathology in a community sample of preadolescents, Journal of Abnormal Psychology, 125, 599, 10.1037/abn0000150
Brikell, 2020, The contribution of common genetic risk variants for ADHD to a general factor of childhood psychopathology, Molecular Psychiatry, 25, 1809, 10.1038/s41380-018-0109-2
Brown, 2014
Buzzell, 2020, Adolescent cognitive control and mediofrontal theta oscillations are disrupted by neglect: Associations with transdiagnostic risk for psychopathology in a randomized controlled trial, Developmental Cognitive Neuroscience, 43, 100777, 10.1016/j.dcn.2020.100777
Carragher, 2015, Disorders without borders: Current and future directions in the meta-structure of mental disorders, Social Psychiatry and Psychiatric Epidemiology, 50, 339, 10.1007/s00127-014-1004-z
Carragher, 2016, The structure of adolescent psychopathology: A symptom-level analysis, Psychological Medicine, 46, 981, 10.1017/S0033291715002470
Caspi, 2014, The p factor: One general psychopathology factor in the structure of psychiatric disorders?, Clinical Psychological Science, 2, 119, 10.1177/2167702613497473
Collins, 2009, Latent class and latent transition analysis
Costello, 2011, Trends in psychopathology across the adolescent years: What changes when children become adolescents, and when adolescents become adults?, Journal of Child Psychology and Psychiatry, and Allied Disciplines, 52, 1015, 10.1111/j.1469-7610.2011.02446.x
Crews, 2007, Risk and protective factors of emotional and/or behavioral disorders in children and adolescents: A mega-analytic synthesis, Behavioral Disorders, 32, 64, 10.1177/019874290703200201
Dalgleish, 2020, Transdiagnostic approaches to mental health problems: Current status and future directions, Journal of Consulting and Clinical Psychology, 88, 179, 10.1037/ccp0000482
Deutz, 2020, General psychopathology and dysregulation profile in a longitudinal community sample: Stability, antecedents and outcomes, Child Psychiatry & Human Development, 51, 114, 10.1007/s10578-019-00916-2
Duncan, 2004, An introduction to latent growth curve modeling, Behavior Therapy, 35, 333, 10.1016/S0005-7894(04)80042-X
Eaton, 2015, Latent variable and network models of comorbidity: Toward an empirically derived nosology, Social Psychiatry and Psychiatric Epidemiology, 50, 845, 10.1007/s00127-015-1012-7
Elliott, 2018, A connectome-wide functional signature of transdiagnostic risk for mental illness, Biological Psychiatry, 84, 452, 10.1016/j.biopsych.2018.03.012
Everitt, 2001
Fabrigar, 1999, Evaluating the use of exploratory factor analysis in psychological research, Psychological Methods, 4, 272, 10.1037/1082-989X.4.3.272
Forbes, 2021, Three recommendations based on a comparison of the reliability and validity of the predominant models used in research on the empirical structure of psychopathology, Journal of Abnormal Psychology, 130, 297, 10.1037/abn0000533
Forbes, 2019, Opportunities for the prevention of mental disorders by reducing general psychopathology in early childhood, Behaviour Research and Therapy, 119, 103411, 10.1016/j.brat.2019.103411
Frenkel, 2015, Early childhood behavioral inhibition, adult psychopathology and the buffering effects of adolescent social networks: A twenty-year prospective study, Journal of Child Psychology and Psychiatry, 56, 1065, 10.1111/jcpp.12390
Fried, 2017, Mental disorders as networks of problems: A review of recent insights, Social Psychiatry and Psychiatric Epidemiology, 52, 1, 10.1007/s00127-016-1319-z
Gibbons, 1992, Full-information item bi-factor analysis, Psychometrika, 57, 423, 10.1007/BF02295430
Goldberg, 2006, Doing it all Bass-Ackwards: The development of hierarchical factor structures from the top down, Journal of Research in Personality, 40, 347, 10.1016/j.jrp.2006.01.001
Hamlat, 2019, Pubertal timing as a transdiagnostic risk for psychopathology in youth, Clinical Psychological Science, 7, 411, 10.1177/2167702618810518
Hankin, 2017, Temperament factors and dimensional, latent bifactor models of child psychopathology: Transdiagnostic and specific associations in two youth samples, Psychiatry Research, 252, 139, 10.1016/j.psychres.2017.02.061
Harden, 2019, Genetic associations between executive functions and a general factor of psychopathology, Journal of the American Academy of Child and Adolescent Psychiatry
Hardoon, 2011, Sparse canonical correlation analysis, Machine Learning, 83, 331, 10.1007/s10994-010-5222-7
Harvey, 2004
Hatoum, 2018, Do executive functions explain the covariance between internalizing and externalizing behaviors?, Development and Psychopathology, 30, 1371, 10.1017/S0954579417001602
Henry, 2010, Multilevel latent class analysis: An application of adolescent smoking, Structural Equation Modeling, 17, 193, 10.1080/10705511003659342
Holzinger, 1937
van Hoof, 2019, Unresolved–disorganized attachment adjusted for a general psychopathology factor associated with atypical amygdala resting-state functional connectivity, European Journal of Psychotraumatology, 10, 1583525, 10.1080/20008198.2019.1583525
Hoppen, 2018, Childhood adversity as a transdiagnostic risk factor for affective disorders in adulthood: A systematic review focusing on biopsychosocial moderating and mediating variables, Clinical Psychology Review, 65, 81, 10.1016/j.cpr.2018.08.002
Jones, 2018, Investigating the genetic architecture of general and specific psychopathology in adolescence, Translational Psychiatry, 8, 145, 10.1038/s41398-018-0204-9
Jones, 2019, General and specific predictors of comorbid substance use and internalizing problems from adolescence to age 33, Prevention Science, 20, 705, 10.1007/s11121-018-0959-5
Jung, 2019, Subtypes of suicidal ideation in Korean adolescents: A multilevel latent profile analysis, The Australian and New Zealand Journal of Psychiatry, 53, 158, 10.1177/0004867418763530
Jung, 2008, An introduction to latent class growth analysis and growth mixture modeling, Social and Personality Psychology Compass, 2, 302, 10.1111/j.1751-9004.2007.00054.x
Kaczkurkin, 2018, Common and dissociable regional cerebral blood flow differences associate with dimensions of psychopathology across categorical diagnoses, Molecular Psychiatry, 23, 1981, 10.1038/mp.2017.174
Kaczkurkin, 2019, Dimensions of psychopathology are dissociably linked to brain structure in youth, Biological Psychiatry, 85, S301, 10.1016/j.biopsych.2019.03.763
Kessler, 2011, Development of lifetime comorbidity in the World Health Organization world mental health surveys, Archives of General Psychiatry, 68, 90, 10.1001/archgenpsychiatry.2010.180
Kotov, 2017, The hierarchical taxonomy of psychopathology (HiTOP): A dimensional alternative to traditional nosologies, Association, 126, 454
Kovas, 2007, Learning abilities and disabilities: Generalist genes, specialist environments, Current Directions in Psychological Science, 16, 284, 10.1111/j.1467-8721.2007.00521.x
Krueger, 2011, A dimensional-spectrum model of psychopathology: Progress and opportunities, Archives of General Psychiatry, 68, 10, 10.1001/archgenpsychiatry.2010.188
Lahey, 2011, Higher-order genetic and environmental structure of prevalent forms of child and adolescent psychopathology, Archives of General Psychiatry, 68, 181, 10.1001/archgenpsychiatry.2010.192
Leadbeater, 2012, Co-occurring trajectories of symptoms of anxiety, depression, and oppositional defiance from adolescence to young adulthood, Journal of Clinical Child and Adolescent Psychology, 41, 719, 10.1080/15374416.2012.694608
Lee, 2012, Co-development of internalizing and externalizing problem behaviors: Causal direction and common vulnerability, Journal of Adolescence, 35, 713, 10.1016/j.adolescence.2011.10.008
Lees, 2020, Altered neurocognitive functional connectivity and activation patterns underlie psychopathology in preadolescence, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 9, 1
Levin-Aspenson, 2019, Hierarchical taxonomy of psychopathology across development: Associations with personality, Journal of Research in Personality, 81, 72, 10.1016/j.jrp.2019.05.006
Liu, 2017, Risk and protective factors for comorbid internalizing and externalizing problems among economically disadvantaged African American youth, Development and Psychopathology, 29, 1043, 10.1017/S0954579416001012
Lynch, 2020, Transdiagnostic risk and protective factors for psychopathology in young people: Systematic review protocol, JMIR Research Protocols, 9, 10.2196/19779
Mann, 2020, Big five personality traits and common mental disorders within a hierarchical taxonomy of psychopathology: A longitudinal study of Mexican- origin youth, Journal of Abnormal Psychology, 129, 769, 10.1037/abn0000633
March-Llanes, 2017, Stressful life events during adolescence and risk for externalizing and internalizing psychopathology: A meta-analysis, European Child and Adolescent Psychiatry, 26, 1409, 10.1007/s00787-017-0996-9
Markon, 2019, Bifactor and hierarchical models: Specification, inference, and interpretation, Annual Review of Clinical Psychology, 15, 51, 10.1146/annurev-clinpsy-050718-095522
McCutcheon, 2013, Parent, sibling and peer associations with subtypes of psychiatric and substance use disorder comorbidity in offspring, Drug and Alcohol Dependence, 128, 20, 10.1016/j.drugalcdep.2012.07.015
McElroy, 2018, Co-occurring internalizing and externalizing psychopathology in childhood and adolescence: A network approach, European Child and Adolescent Psychiatry, 27, 1449, 10.1007/s00787-018-1128-x
McMahon, 2003, Stress and psychopathology in children and adolescents: Is there evidence of specificity?, Journal of Child Psychology and Psychiatry, 44, 107, 10.1111/1469-7610.00105
Michelini, 2019, Delineating and validating higher-order dimensions of psychopathology in the Adolescent Brain Cognitive Development (ABCD) study, Translational Psychiatry, 9, 10.1038/s41398-019-0593-4
Moher, 2015, Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement, Systematic Reviews, 4, 1, 10.1186/2046-4053-4-1
Moola, 2019, Chapter 7: Systematic reviews of etiology and risk
Muthén, 2006, The potential of growth mixture modelling, Infant and Child Development, 15, 623, 10.1002/icd.482
Nigg, 2017, Annual Research Review: On the relations among self-regulation, self-control, executive functioning, effortful control, cognitive control, impulsivity, risk-taking, and inhibition for developmental psychopathology, Journal of Child Psychology and Psychiatry, and Allied Disciplines, 58, 361, 10.1111/jcpp.12675
Ofrat, 2012, How research on the meta-structure of psychopathology aids in understanding biological correlates of mood and anxiety disorders, Biology of Mood & Anxiety Disorders, 2, 13, 10.1186/2045-5380-2-13
Olino, 2019, Profiles of psychosocial and clinical functioning in adolescence and risk for later depression and other outcomes, Psychological Medicine, 50, 2066, 10.1017/S0033291719002186
Platt, 2017, Transdiagnostic psychiatric disorder risk associated with early age of menarche: A latent modeling approach, Comprehensive Psychiatry, 79, 70, 10.1016/j.comppsych.2017.06.010
Preacher, 2008, Latent growth curve modeling
Riglin, 2020, Using genetics to examine a general liability to childhood psychopathology, Behavior Genetics, 50, 213, 10.1007/s10519-019-09985-4
Romer, 2018, Structural alterations within cerebellar circuitry are associated with general liability for common mental disorders, Molecular Psychiatry, 23, 1084, 10.1038/mp.2017.57
Santens, 2020, Effortful control – A transdiagnostic dimension underlying internalizing and externalizing psychopathology, Neuropsychobiology, 79, 255, 10.1159/000506134
Schweizer, 2020, The breadth and potency of transdiagnostic cognitive risks for psychopathology in youth, Journal of Consulting and Clinical Psychology, 88, 196, 10.1037/ccp0000470
Shanmugan, 2016, Common and dissociable mechanisms of executive system dysfunction across psychiatric disorders in youth, American Journal of Psychiatry, 173, 517, 10.1176/appi.ajp.2015.15060725
Shields, 2019, The p factor in children: Relationships with executive functions and effortful control, Journal of Research in Personality, 10.1016/j.jrp.2019.103853
Silveira, 2019, Patterns and correlates of polysubstance use among US youth aged 15–17 years: Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study, Addiction, 114, 907, 10.1111/add.14547
Sloan, 2017, Emotion regulation as a transdiagnostic treatment construct across anxiety, depression, substance, eating and borderline personality disorders: A systematic review, Clinical Psychology Review, 57, 141, 10.1016/j.cpr.2017.09.002
Smith, 2020, The general factor of psychopathology, Annual Review of Clinical Psychology, 16, 75, 10.1146/annurev-clinpsy-071119-115848
Snyder, 2019, Transdiagnostic mechanisms of psychopathology in youth: Executive functions, dependent stress, and rumination, Cognitive Therapy and Research, 43, 834, 10.1007/s10608-019-10016-z
Sunderland, 2020, The structure of psychopathology and association with poor sleep, self-harm, suicidality, risky sexual behavior, and low self-esteem in a population sample of adolescents, Development and Psychopathology, 1
Tabachnick, 2014
Tackett, 2013, Common genetic influences on negative emotionality and a general psychopathology factor in childhood and adolescence, Journal of Abnormal Psychology, 122, 1142, 10.1037/a0034151
Terrone, 2018, Attachment relationships and internalization and externalization problems in a group of adolescents with pathological gambling disorder, Clinical Neuropsychiatry, 15
Thurstone, 1944, Second-order factors, Psychometrika, 9, 71, 10.1007/BF02288715
Vanes, 2020, White matter tract myelin maturation and its association with general psychopathology in adolescence and early adulthood, Human Brain Mapping, 41, 827, 10.1002/hbm.24842
Vella, 2019, Trajectories and predictors of risk for mental health problems throughout childhood, Child and Adolescent Mental Health, 24, 142, 10.1111/camh.12279
Veritas Health Innovation
Wade, 2018, Effect of foster care intervention on trajectories of general and specific psychopathology among children with histories of institutional rearing, JAMA Psychiatry, 75, 1137, 10.1001/jamapsychiatry.2018.2556
Wade, 2019, Global deficits in executive functioning are transdiagnostic mediators between severe childhood neglect and psychopathology in adolescence, Psychological Medicine, 50, 1687, 10.1017/S0033291719001764
Wang, 2020, Evidence for two genetically distinct pathways to co-occurring internalizing and externalizing problems in adolescence characterized by negative affectivity or behavioral inhibition, Journal of Abnormal Psychology, 129, 633, 10.1037/abn0000525
Watts, 2019, Riskier tests of the validity of the bifactor model of psychopathology, Clinical Psychological Science, 7, 1285, 10.1177/2167702619855035
Whiteford, 2015, The global burden of mental, neurological and substance use disorders: An analysis from the global burden of disease study 2010, PLoS One, 10.1371/journal.pone.0116820
Wilson, 2015, Trajectories of psychopathology and risky behaviors associated with childhood abuse and neglect in low-income urban African American girls, Child Abuse & Neglect, 45, 108, 10.1016/j.chiabu.2015.02.009
Witten, 2009, A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis, Biostatistics, 10, 515, 10.1093/biostatistics/kxp008
World Health Organization
Xia, 2018, Linked dimensions of psychopathology and connectivity in functional brain networks, Nature Communications, 9, 3003, 10.1038/s41467-018-05317-y