A new PHQ-2 for Chinese adolescents: identifying core items of the PHQ-9 by network analysis
暂无分享,去创建一个
X. Chi | Yue Zhao | K. Liang | Sitong Chen | Yizhen Ren | Zhanbing Ren
[1] X. Chi,et al. Network analysis of internet addiction and depression among Chinese college students during the COVID-19 pandemic: A longitudinal study , 2022, Computers in Human Behavior.
[2] Jianping Wang,et al. Utilizing network analysis to understand the structure of depression in Chinese adolescents: Replication with three depression scales , 2022, Current Psychology.
[3] Ria H. A. Hoekstra,et al. Reporting standards for psychological network analyses in cross-sectional data. , 2022, Psychological methods.
[4] X. Chi,et al. Psychometric Properties of the Generalized Anxiety Disorder Scale-7 Item (GAD-7) in a Large Sample of Chinese Adolescents , 2021, Healthcare.
[5] S. Madigan,et al. Global Prevalence of Depressive and Anxiety Symptoms in Children and Adolescents During COVID-19: A Meta-analysis. , 2021, JAMA pediatrics.
[6] M. Mazidi,et al. Prevalence of mental health problems among children and adolescents during the COVID-19 pandemic: A systematic review and meta-analysis , 2021, Journal of Affective Disorders.
[7] Yuxin Liang,et al. Validity and Longitudinal Invariance of the 10-Item Connor-Davidson Resilience Scale (CD-RISC-10) in Chinese Left-Behind and Non-Left-Behind Children , 2021, Psychological reports.
[8] C. Schmidt,et al. Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies , 2021, BMC Psychiatry.
[9] G. Bonanno,et al. Networks of major depressive disorder: A systematic review. , 2021, Clinical psychology review.
[10] Guan Luo,et al. Psychological State Among the General Chinese Population Before and During the COVID-19 Epidemic: A Network Analysis , 2021, Frontiers in Psychiatry.
[11] K. Kroenke. PHQ‐9: global uptake of a depression scale , 2021, World psychiatry : official journal of the World Psychiatric Association.
[12] G. Hajcak,et al. Increases in depression and anxiety symptoms in adolescents and young adults during the COVID-19 pandemic , 2021, Psychological Medicine.
[13] G. Serafini,et al. Screening for depression in primary care with Patient Health Questionnaire-9 (PHQ-9): A systematic review. , 2020, Journal of affective disorders.
[14] Yuanyuan Wang,et al. Changes in network centrality of psychopathology symptoms between the COVID-19 outbreak and after peak , 2020, Molecular Psychiatry.
[15] B. Olaya,et al. Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies , 2020, International Journal of Clinical and Health Psychology.
[16] P. Matos,et al. Systematic review of the factor structure and measurement invariance of the patient health questionnaire-9 (PHQ-9) and validation of the Portuguese version in community settings. , 2020, Journal of affective disorders.
[17] B. Levis,et al. Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis. , 2020, JAMA.
[18] M. Berlim,et al. The network structure of core depressive symptom-domains in major depressive disorder following antidepressant treatment: a randomized clinical trial , 2020, Psychological Medicine.
[19] Payton J. Jones,et al. Applying network analysis to understand depression and substance use in Indian adolescents. , 2019, Journal of affective disorders.
[20] Alice Yuen Loke,et al. Measurement invariances of the PHQ‐9 across gender and age groups in Chinese adolescents , 2020, Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists.
[21] Ria H. A. Hoekstra,et al. The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research , 2019, Psychological Medicine.
[22] M. McDonagh,et al. Depression in Children and Adolescents: Evaluation and Treatment. , 2019, American family physician.
[23] K. Kroenke,et al. Measurement invariance of the patient health questionnaire‐9 (PHQ‐9) depression screener in U.S. adults across sex, race/ethnicity, and education level: NHANES 2005–2016 , 2019, Depression and anxiety.
[24] Sacha Epskamp,et al. What do centrality measures measure in psychological networks? , 2019, Journal of abnormal psychology.
[25] Michael C. Mullarkey,et al. Using Network Analysis to Identify Central Symptoms of Adolescent Depression , 2019, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.
[26] Patrick D McGorry,et al. Early intervention for depression in young people: a blind spot in mental health care. , 2019, The lancet. Psychiatry.
[27] R. Simó,et al. Differences in the cluster of depressive symptoms between subjects with type 2 diabetes and individuals with a major depressive disorder and without diabetes , 2019, Journal of Endocrinological Investigation.
[28] S. Muncer,et al. PHQ-9: One factor or two? , 2019, Psychiatry Research.
[29] F. Rice,et al. Adolescent and adult differences in major depression symptom profiles. , 2019, Journal of affective disorders.
[30] D. Maurer,et al. Depression: Screening and Diagnosis. , 2018, American Family Physician.
[31] Karimolla Hajian-Tilaki,et al. The choice of methods in determining the optimal cut-off value for quantitative diagnostic test evaluation , 2018, Statistical methods in medical research.
[32] K. Hung,et al. Affective and cognitive rather than somatic symptoms of depression predict 3-year mortality in patients on chronic hemodialysis , 2018, Scientific Reports.
[33] P. Jensen,et al. Guidelines for Adolescent Depression in Primary Care (GLAD-PC): Part I. Practice Preparation, Identification, Assessment, and Initial Management , 2018, Pediatrics.
[34] Shulin Chen,et al. Validity study of Patient Health Questionnaire‐9 items for Internet screening in depression among Chinese university students , 2017, Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists.
[35] T. Dalgleish,et al. Factor structure and longitudinal measurement invariance of PHQ-9 for specialist mental health care patients with persistent major depressive disorder: Exploratory Structural Equation Modelling. , 2017, Journal of affective disorders.
[36] A. Mitchell,et al. Case finding and screening clinical utility of the Patient Health Questionnaire (PHQ-9 and PHQ-2) for depression in primary care: a diagnostic meta-analysis of 40 studies , 2016, BJPsych Open.
[37] Min Zhao,et al. Reliability and validity of the Chinese version of the Patient Health Questionnaire (PHQ-9) in the general population. , 2014, General hospital psychiatry.
[38] Yu-Hsin Huang,et al. Patient Health Questionnaire for School-Based Depression Screening Among Chinese Adolescents , 2014, Pediatrics.
[39] Laura Manea,et al. Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis , 2012, Canadian Medical Association Journal.
[40] N. Kerse,et al. Validation of PHQ-2 and PHQ-9 to Screen for Major Depression in the Primary Care Population , 2010, The Annals of Family Medicine.
[41] W. Katon,et al. Evaluation of the PHQ-2 as a Brief Screen for Detecting Major Depression Among Adolescents , 2010, Pediatrics.
[42] V. Tang,et al. Internet Addiction in Chinese Adolescents in Hong Kong: Assessment, Profiles, and Psychosocial Correlates , 2008, TheScientificWorldJournal.
[43] R. Spitzer,et al. The PHQ-9 , 2001, Journal of General Internal Medicine.
[44] B. Löwe,et al. Detecting and monitoring depression with a two-item questionnaire (PHQ-2). , 2005, Journal of psychosomatic research.
[45] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[46] R. Spitzer,et al. The PHQ-9: validity of a brief depression severity measure. , 2001, Journal of general internal medicine.