1. Valid group comparisons can be made with the Patient Health Questionnaire (PHQ-9): A measurement invariance study across groups by demographic characteristics
- Author
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David Villarreal-Zegarra, G. J. Melendez-Torres, Juan Carlos Bazo-Alvarez, Antonio Bernabe-Ortiz, and Anthony Copez-Lonzoy
- Subjects
Male ,Rural Population ,Research Validity ,confirmatory factor analysis ,Urban Population ,groups by age ,Social Sciences ,Patient Health Questionnaire ,human experiment ,0302 clinical medicine ,Mathematical and Statistical Techniques ,Sociology ,married person ,Peruvian ,Medicine and Health Sciences ,internal consistency ,Public and Occupational Health ,030212 general & internal medicine ,Geographic Areas ,Aged, 80 and over ,education.field_of_study ,education ,Multidisciplinary ,Geography ,Depression ,adult ,Statistics ,article ,Research Assessment ,Middle Aged ,Confirmatory factor analysis ,Socioeconomic Aspects of Health ,female ,Physical Sciences ,Marital status ,Educational Status ,Medicine ,Female ,Psychology ,Factor Analysis ,Research Article ,Urban Areas ,Patient Health Questionnaire 9 ,Adult ,Adolescent ,purl.org/pe-repo/ocde/ford#5.04.02 [https] ,Science ,Population ,Research and Analysis Methods ,Structural equation modeling ,Education ,03 medical and health sciences ,Young Adult ,male ,Mental Health and Psychiatry ,Humans ,Measurement invariance ,controlled study ,human ,Statistical Methods ,Socioeconomic status ,Educational Attainment ,Primary Care ,marriage ,Aged ,Demography ,Analysis of Variance ,Marital Status ,Mood Disorders ,Reproducibility of Results ,Secondary data ,major clinical study ,030227 psychiatry ,social status ,Health Care ,Social Class ,Age Groups ,People and Places ,Earth Sciences ,Population Groupings ,Mathematics ,urban area - Abstract
Objective Analyze the measurement invariance and the factor structure of the Patient Health Questionnaire-9 (PHQ-9) in the Peruvian population. Method Secondary data analysis performed using cross-sectional data from the Health Questionnaire of the Demographic and Health Survey in Peru. Variables of interest were the PHQ-9 and demographic characteristics (sex, age group, level of education, socioeconomic status, marital status, and area of residence). Factor structure was evaluated by standard confirmatory factor analysis (CFA), and measurement invariance by multi-group CFA, using standard goodness-of-fit indices criteria for interpreting results from both CFAs. Analysis of the internal consistency (α and ω) was also pursued. Results Data from 30,449 study participants were analyzed, 56.7% were women, average age was 40.5 years (standard deviation (SD) = 16.3), 65.9% lived in urban areas, 74.6% were married, and had 9 years of education on average (SD = 4.6). From standard CFA, a one-dimensional model presented the best fit (CFI = 0.936; RMSEA = 0.089; SRMR = 0.039). From multi-group CFA, all progressively restricted models had ΔCFI
- Published
- 2019