Adaptation to Aymara language and analysis of the psychometric properties of the Patient Health Questionnaire (PHQ-9) in Peruvian and Bolivian populations

To culturally adapt the Patient Health Questionnaire (PHQ-9) for Aymara-speaking populations in Peru and Bolivia and to evaluate its psychometric properties. A study was conducted with a non-probabilistic sample of 1,607 Aymara speakers from Peru (n = 969) and Bolivia (n = 638), aged 18 to 74 years, with both sexes represented. In the first phase, forward and backward translations were carried out, followed by expert review to ensure cultural contextualization, and focus group with Aymara speakers. In the second phase, internal structure validity, external criterion validity, group-based invariance, and reliability were assessed. The Aymara PHQ-9 demonstrated a unidimensional factor structure with satisfactory fit indices (CFI & TLI > 0.95 and RMSEA & SRMR < 0.08) across Aymara variants in Peru and Bolivia. Measurement invariance was established across age, sex, residential area, education level, and marital status. External validity revealed significant relationships with the GAD-7 and WHO-5. Both country-specific versions showed high reliability coefficients (Peru α = 0.847 to 0.849; Bolivia ω = 0.943 to 0.942). The Aymara PHQ-9 for Peru and Bolivia demonstrated robust internal structure validity, external validity, measurement invariance, and reliability. This version is therefore recommended for depression screening among Aymara populations.

Authors

Institutions

Publication Details

Journal
BMC Psychology
Published
2026-01-30
DOI
https://doi.org/10.1186/s40359-026-03972-1
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptation to Aymara language and analysis of the psychometric properties of the Patient Health Questionnaire (PHQ-9) in Peruvian and Bolivian populations

Frank Peralta-Álvarez, Jovita Coronado Fernández, Julio Cjuno, Oscar Bazo-Alvarez et al.
BMC Psychology
Mental Health Treatment and Access
article

Adaptation to Aymara language and analysis of the psychometric properties of the Patient Health Questionnaire (PHQ-9) in Peruvian and Bolivian populations

Frank Peralta-Álvarez, Jovita Coronado Fernández, Julio Cjuno, Oscar Bazo-Alvarez, Lucy Puño-Quispe, Carla Dávila-Valencia, Marco Antonio Alvarado-Carbonel, Juan Carlos Bazo-Alvarez, Mishell Mamani-Quea, Elvis Chura-Maquera
article en

Abstract

To culturally adapt the Patient Health Questionnaire (PHQ-9) for Aymara-speaking populations in Peru and Bolivia and to evaluate its psychometric properties. A study was conducted with a non-probabilistic sample of 1,607 Aymara speakers from Peru (n = 969) and Bolivia (n = 638), aged 18 to 74 years, with both sexes represented. In the first phase, forward and backward translations were carried out, followed by expert review to ensure cultural contextualization, and focus group with Aymara speakers. In the second phase, internal structure validity, external criterion validity, group-based invariance, and reliability were assessed. The Aymara PHQ-9 demonstrated a unidimensional factor structure with satisfactory fit indices (CFI & TLI > 0.95 and RMSEA & SRMR < 0.08) across Aymara variants in Peru and Bolivia. Measurement invariance was established across age, sex, residential area, education level, and marital status. External validity revealed significant relationships with the GAD-7 and WHO-5. Both country-specific versions showed high reliability coefficients (Peru α = 0.847 to 0.849; Bolivia ω = 0.943 to 0.942). The Aymara PHQ-9 for Peru and Bolivia demonstrated robust internal structure validity, external validity, measurement invariance, and reliability. This version is therefore recommended for depression screening among Aymara populations.

BMC PsychologyVol. 14(1)
Department of Health and Social Care (GB), Universidad Privada San Juan Bautista (PE), Universidad César Vallejo (PE), Ministerio de Salud (BO), Ministerio de Salud (NI), Institute of Peruvian Studies (PE), Universidad Peruana Unión (PE), University College London (GB)
Quality Education
Openalex Percentile: Top 77%
Mental Health Treatment and Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.