Assessment of differential item functioning of the PHQ-9, HADS-D and PROMIS-depression scales in persons with and without multiple sclerosis.

[1]  Ingo W. Nader,et al.  Latent structure and measurement invariance of the Hospital Anxiety and Depression Scale in cancer outpatients , 2022, International journal of clinical and health psychology : IJCHP.

[2]  K. Kroenke,et al.  Is the PHQ-9 a unidimensional measure of depression? A 58,272-participant study. , 2022, Psychological assessment.

[3]  I. Prokopenko,et al.  Measurement invariance testing of the patient health questionnaire-9 (PHQ-9) across people with and without diabetes mellitus from the NHANES, EMHS and UK Biobank datasets. , 2021, Journal of affective disorders.

[4]  N. Mayo,et al.  Response shift in patient-reported outcomes: definition, theory, and a revised model , 2021, Quality of Life Research.

[5]  Zina-Mary Manjaly,et al.  Major depressive disorder subtypes and depression symptoms in multiple sclerosis: What is different compared to the general population? , 2021, Journal of psychosomatic research.

[6]  Z. Kutalik,et al.  Obesity and atypical depression symptoms: findings from Mendelian randomization in two European cohorts , 2021, Translational Psychiatry.

[7]  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.

[8]  S. Nolte,et al.  Psychometric evaluation of the PROMIS® Depression Item Bank: an illustration of classical test theory methods , 2019, Journal of patient-reported outcomes.

[9]  Richard N. Jones.  Differential Item Functioning and its Relevance to Epidemiology , 2019, Current Epidemiology Reports.

[10]  L. Lix,et al.  The validity and reliability of screening measures for depression and anxiety disorders in multiple sclerosis. , 2018, Multiple sclerosis and related disorders.

[11]  J. Tendeiro,et al.  What are the minimal sample size requirements for Mokken scaling? An empirical example with the Warwick- Edinburgh Mental Well-Being Scale , 2018, Health psychology and behavioral medicine.

[12]  L. Lix,et al.  Effects of Psychiatric Comorbidity in Immune-Mediated Inflammatory Disease: Protocol for a Prospective Study , 2018, JMIR research protocols.

[13]  N. Wray,et al.  Genetic Association of Major Depression With Atypical Features and Obesity-Related Immunometabolic Dysregulations , 2017, JAMA psychiatry.

[14]  M. Sprangers,et al.  Item bias detection in the Hospital Anxiety and Depression Scale using structural equation modeling: comparison with other item bias detection methods , 2016, Quality of Life Research.

[15]  Marc H Bornstein,et al.  Measurement Invariance Conventions and Reporting: The State of the Art and Future Directions for Psychological Research. , 2016, Developmental review : DR.

[16]  J. Teresi,et al.  Psychometric Properties and Performance of the Patient Reported Outcomes Measurement Information System® (PROMIS®) Depression Short Forms in Ethnically Diverse Groups. , 2016, Psychological test and assessment modeling.

[17]  Christina Wolfson,et al.  Sex differences in comorbidity at diagnosis of multiple sclerosis , 2016, Neurology.

[18]  Kurt L. Johnson,et al.  A comparison of multiple patient reported outcome measures in identifying major depressive disorder in people with multiple sclerosis. , 2015, Journal of psychosomatic research.

[19]  C. Wolfson,et al.  Differences in the burden of psychiatric comorbidity in MS vs the general population , 2015, Neurology.

[20]  C. Wolfson,et al.  Comorbidity is associated with pain-related activity limitations in multiple sclerosis. , 2015, Multiple sclerosis and related disorders.

[21]  R. Marrie,et al.  Comorbidity increases the risk of hospitalizations in multiple sclerosis , 2015, Neurology.

[22]  S. Patten,et al.  Validity of four screening scales for major depression in MS , 2015, Multiple sclerosis.

[23]  Jeffrey A. Cohen,et al.  The incidence and prevalence of psychiatric disorders in multiple sclerosis: A systematic review , 2015, Multiple sclerosis.

[24]  Nathan E. Dodds,et al.  Validation of the depression item bank from the Patient-Reported Outcomes Measurement Information System (PROMIS) in a three-month observational study. , 2014, Journal of psychiatric research.

[25]  N. Lincoln,et al.  Validation of mood measures for people with multiple sclerosis. , 2014, International journal of MS care.

[26]  J. Crawford,et al.  Differential item functioning of the HADS and PHQ-9: an investigation of age, gender and educational background in a clinical UK primary care sample. , 2013, Journal of affective disorders.

[27]  D. Amtmann,et al.  Six patient-reported outcome measurement information system short form measures have negligible age- or diagnosis-related differential item functioning in individuals with disabilities. , 2012, Archives of physical medicine and rehabilitation.

[28]  Theodore D Cosco,et al.  Latent structure of the hospital anxiety and depression scale: a 10 year systematic review , 2015 .

[29]  P. Fayers,et al.  Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression , 2010, Health and Quality of Life Outcomes.

[30]  A. Beekman,et al.  Identifying depressive subtypes in a large cohort study: results from the Netherlands Study of Depression and Anxiety (NESDA). , 2010, The Journal of clinical psychiatry.

[31]  R. Marrie,et al.  Validation of a Self-Report Comorbidity Questionnaire for Multiple Sclerosis , 2010, Neuroepidemiology.

[32]  Roland Hetzer,et al.  Screening for depression: Rasch analysis of the dimensional structure of the PHQ-9 and the HADS-D. , 2010, Journal of affective disorders.

[33]  Anthony Feinstein,et al.  Validation of the Hospital Anxiety and Depression Scale for use with multiple sclerosis patients , 2009, Multiple sclerosis.

[34]  D. Amtmann,et al.  Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT’s unidimensionality assumption , 2009, Quality of Life Research.

[35]  Michael Koller,et al.  A simulation study provided sample size guidance for differential item functioning (DIF) studies using short scales. , 2009, Journal of clinical epidemiology.

[36]  K. Sijtsma,et al.  Nonparametric IRT analysis of Quality-of-Life Scales and its application to the World Health Organization Quality-of-Life Scale (WHOQOL-Bref) , 2008, Quality of Life Research.

[37]  S. Galea,et al.  Participation rates in epidemiologic studies. , 2007, Annals of epidemiology.

[38]  David J Weiss,et al.  Psychometric Evaluation and Calibration of Health-Related Quality of Life Item Banks: Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS) , 2007, Medical care.

[39]  R. Spitzer,et al.  Using the patient health questionnaire-9 to measure depression among racially and ethnically diverse primary care patients , 2006, Journal of General Internal Medicine.

[40]  J. Hopper,et al.  The value of the Hospital Anxiety and Depression Scale (HADS) for comparing women with early onset breast cancer with population-based reference women , 2004, Quality of Life Research.

[41]  M. Kosinski,et al.  Calibration of an item pool for assessing the burden of headaches: An application of item response theory to the Headache Impact Test (HIT™) , 2003, Quality of Life Research.

[42]  A. Janssens,et al.  A nxiety and depression influence the relation between disability status and quality of life in multiple sclerosis , 2003, Multiple sclerosis.

[43]  R. Spitzer,et al.  Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. , 1999, JAMA.

[44]  S. Reingold,et al.  Defining the clinical course of multiple sclerosis , 1996, Neurology.

[45]  J. Kurtzke.  Rating neurologic impairment in multiple sclerosis , 1983, Neurology.

[46]  R. Snaith,et al.  The Hospital Anxiety And Depression Scale , 2003, Health and quality of life outcomes.

[47]  D. Amtmann,et al.  Do measures of depressive symptoms function differently in people with spinal cord injury versus primary care patients: the CES-D, PHQ-9, and PROMIS®-D , 2016, Quality of Life Research.

[48]  J. Teresi,et al.  Occurrences and sources of Differential Item Functioning (DIF) in patient-reported outcome measures: Description of DIF methods, and review of measures of depression, quality of life and general health. , 2008, Psychology science quarterly.

[49]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .