Literature DB >> 25240840

Factor structure and measurement invariance of the Patient Health Questionnaire-9 for female and male primary care patients with major depression in Germany.

Juliana J Petersen1, Michael A Paulitsch2, Johannes Hartig3, Karola Mergenthal2, Ferdinand M Gerlach2, Jochen Gensichen4.   

Abstract

BACKGROUND: Depression is characterized by gender-specific distinctions, with women being affected more often than men. The Patient Health Questionnaire-9 (PHQ-9) is frequently used to assess depression in primary healthcare. Previous research has yielded heterogeneous findings on the factor structure, and little is known of its measurement invariance across gender. The aim of this study was 1) to evaluate the fit of four previously hypothesized models of PHQ-9 factor structure in patients with major depression in German family practices, and 2) to test the measurement invariance of the best-fitting model across gender.
METHODS: We used the baseline data from a cluster-randomized controlled trial. The diagnosis of major depression was based on the PHQ-9 and confirmed by the family physician. We calculated Confirmatory Factor Analyses (CFA) to assess which of the previously hypothesized factor structures (a one- and three different two-factor solutions) would best fit our data. We also calculated Complex Survey Analyses (CSA) and Multi Sample Analyses (MSA).
RESULTS: We included 626 participants (75.4% women and 24.6% men). A two-factor model with five 'somatic' labeled items and four 'non-somatic' labeled items presented the best fit indices. The model measurement was invariant across gender. LIMITATIONS: The inclusion criteria used in the main trial mean the study sample was not representative of all patients with major depression in German family practices.
CONCLUSIONS: The measurement invariance across gender revealed by this study is a precondition for the use of the PHQ-9 without gender-specific adaptation in patients with major depression in German family practices.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Major depression; Primary healthcare; Psychiatric status rating scales (MESH terms)

Mesh:

Year:  2014        PMID: 25240840     DOI: 10.1016/j.jad.2014.08.053

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  29 in total

1.  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.

Authors:  Jay S Patel; Youngha Oh; Kevin L Rand; Wei Wu; Melissa A Cyders; Kurt Kroenke; Jesse C Stewart
Journal:  Depress Anxiety       Date:  2019-07-29       Impact factor: 6.505

2.  Factor structure and longitudinal measurement invariance of PHQ-9 for specialist mental health care patients with persistent major depressive disorder: Exploratory Structural Equation Modelling.

Authors:  Boliang Guo; Catherine Kaylor-Hughes; Anne Garland; Neil Nixon; Tim Sweeney; Sandra Simpson; Tim Dalgleish; Rajini Ramana; Min Yang; Richard Morriss
Journal:  J Affect Disord       Date:  2017-05-08       Impact factor: 4.839

3.  The measurement invariance of the Patient Health Questionnaire-9 for American Indian adults.

Authors:  Melissa L Harry; Stephen C Waring
Journal:  J Affect Disord       Date:  2019-05-11       Impact factor: 4.839

4.  Measurement validity of the Patient-Health Questionnaire-9 in US nursing home residents.

Authors:  Emmanuelle Bélanger; Kali S Thomas; Richard N Jones; Gary Epstein-Lubow; Vincent Mor
Journal:  Int J Geriatr Psychiatry       Date:  2019-03-04       Impact factor: 3.485

5.  Psychometric Properties and Factor Structure of the Patient Health Questionnaire-9 as a Screening Tool for Depression Among Ecuadorian College Students.

Authors:  Víctor Manuel López-Guerra; Carla López-Núñez; Silvia L Vaca-Gallegos; Pablo V Torres-Carrión
Journal:  Front Psychol       Date:  2022-04-29

6.  Factor structure, measurement invariance, and concurrent validity of the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder scale-7 in a Norwegian psychiatric outpatient sample.

Authors:  Martin Brattmyr; Martin Schevik Lindberg; Stian Solem; Odin Hjemdal; Audun Havnen
Journal:  BMC Psychiatry       Date:  2022-07-11       Impact factor: 4.144

7.  The factor structure of depressive symptoms in patients with obesity enrolled in the RAINBOW clinical trial.

Authors:  Marzieh Majd; Joshua M Smyth; Nan Lv; Lan Xiao; Mark B Snowden; Elizabeth M Venditti; Leanne M Williams; Olusola A Ajilore; Trisha Suppes; Jun Ma
Journal:  J Affect Disord       Date:  2020-11-17       Impact factor: 4.839

8.  Relationship between initial self-perceived depressive symptoms and disease severity in working patients with first-onset major depressive disorder.

Authors:  Tomoyuki Hirota; Yasuhiko Deguchi; Shinichi Iwasaki; Aya Sakaguchi; Akihiro Niki; Yoshiki Shirahama; Yoko Nakamichi; Koki Inoue
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

9.  Validity of single item responses to short message service texts to monitor depression: an mHealth sub-study of the UK ACUDep trial.

Authors:  Ada Keding; Jan R Böhnke; Tim J Croudace; Stewart J Richmond; Hugh MacPherson
Journal:  BMC Med Res Methodol       Date:  2015-07-30       Impact factor: 4.615

10.  The DEsire to DIe in Palliative care: Optimization of Management (DEDIPOM) - a study protocol.

Authors:  Kerstin Kremeike; Maren Galushko; Gerrit Frerich; Vanessa Romotzky; Stefanie Hamacher; Gary Rodin; Holger Pfaff; Raymond Voltz
Journal:  BMC Palliat Care       Date:  2018-02-20       Impact factor: 3.234

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.