Cultural adaptation to quechua and psychometric analysis of the patient health questionnaire (PHQ-9) in a peruvian population. / Adaptación cultural al Quechua y análisis psicométrico del Patient Health Questionnaire (PHQ-9) en población peruana.

OBJECTIVE: . To translate and culturally adapt the Patient Health Questionnaire (PHQ-9) to three varieties of Quechua and analyse their validity, reliability, and measurement invariance. MATERIALS AND METHODS: . 1) Cultural adaptation phase: the PHQ-9 was translated from English into three variants of Quechua (Central, Chanca, Cuzco-Collao) and translated again into English. Then, experts and focus groups allowed the translations to be culturally adapted. 2) Psychometric phase: the unidimensionality of the adapted PHQ-9 was evaluated by using Confirmatory Factor Analysis (CFA), reliability was evaluated by internal consistency (Alpha and Omega), and measurement invariance according to Quechua varieties and sociodemographic variables was evaluated by using CFA, multigroups and MIMIC models (Multiple Indicator Multiple Cause). RESULTS: . Each of the adaptations of the PHQ-9 to the three Quechua varieties reported clear and culturally equivalent items. Subsequently, data from 970 Quechua-speaking adult men and women were analyzed. The general one-dimensional model reported an adequate fit (Comparative fit index = 0.990, Tucker-Lewis index = 0.987, Standardized root mean squared residual= 0.048, Root mean squared error of approximation=0.071); each of the Quechua varieties also showed an adequate fit. Reliability was high for all varieties (α = 0.865 - 0.915; ω = 0.833 - 0.881). The results of the multigroup CFA and MIMIC models confirmed measurement invariance according to Quechua variant, sex, residence, age, marital status and educational level. CONCLUSIONS: . The PHQ-9 adaptations to Central Quechua, Chanca and Cuzco-Collao offer a valid, reliable and invariant measurement, confirming that comparisons can be made between the evaluated groups. Its use will benefit mental health research and care for Quechua-speaking populations.

OBJETIVO: . Traducir y adaptar culturalmente el Patient Health Questionnaire (PHQ-9) a tres variedades del quechua y analizar su validez, confiabilidad e invarianza. MATERIALES Y MÉTODOS: . 1) Fase de adaptación cultural: el PHQ-9 fue traducido del inglés a tres variantes del quechua (Central, Chanca, Cuzco-Collao) y traducido nuevamente al inglés, posteriormente expertos y grupos focales permitieron adaptar culturalmente las traducciones. 2) Fase psicométrica: se evaluó la uni-dimensionalidad del PHQ-9 adaptado mediante un Análisis Factorial Confirmatorio (CFA), la confiabilidad se evaluó mediante consistencia interna (Alpha y Omega), y la invarianza de medida según variedades del quechua y variables sociodemográficas se evaluó empleando CFA multigrupos y modelos MIMIC (Múltiples Indicadores y Múltiples Causas). RESULTADOS: . Cada una de las adaptaciones del PHQ-9 a las tres variedades de quechua reportaron ítems claros y culturalmente equivalentes. Posteriormente, con 970 datos de quechuahablantes adultos varones y mujeres, el modelo general unidimensional reportó un ajuste adecuado (índice de ajuste comparativo: 0,990, índice de Tucker-Lewis: 0,987, residuo estandarizado cuadrático medio: 0,048, raíz del error cuadrático medio de aproximación: 0,071), lo mismo ocurrió para cada variedad del quechua. La confiabilidad fue alta para todas las variedades (α = 0,865 - 0,915; ω = 0,833 - 0,881). Los resultados del CFA multigrupos y modelos MIMIC confirmaron invarianza de medida según variante del quechua, sexo, residencia, edad, estado civil y nivel educativo. CONCLUSIONES: . Las adaptaciones del PHQ-9 a Quechua Central, Chanca y Cuzco-Collao ofrecen una medición válida, confiable e invariante, confirmando que se pueden hacer comparaciones en los grupos evaluados. Su uso beneficiará a la investigación y a la atención en salud mental de poblaciones quechuahablantes.

Adaptación cultural al Quechua y análisis psicométrico del Patient Health Questionnaire (PHQ-9) en población peruana / Cultural adaptation to Quechua and psychometric analysis of the Patient Health Questionnaire PHQ-9 in a peruvian population

Objetivo . Traducir y adaptar culturalmente el Patient Health Questionnaire (PHQ-9) a tres variedades del quechua y analizar su validez, confiabilidad e invarianza. Materiales y métodos . 1) Fase de adaptación cultural: el PHQ-9 fue traducido del inglés a tres variantes del quechua (Central, Chanca, Cuzco-Collao) y traducido nuevamente al inglés, posteriormente expertos y grupos focales permitieron adaptar culturalmente las traducciones. 2) Fase psicométrica: se evaluó la uni-dimensionalidad del PHQ-9 adaptado mediante un Análisis Factorial Confirmatorio (CFA), la confiabilidad se evaluó mediante consistencia interna (Alpha y Omega), y la invarianza de medida según variedades del quechua y variables sociodemográficas se evaluó empleando CFA multigrupos y modelos MIMIC (Múltiples Indicadores y Múltiples Causas). Resultados . Cada una de las adaptaciones del PHQ-9 a las tres variedades de quechua reportaron ítems claros y culturalmente equivalentes. Posteriormente, con 970 datos de quechuahablantes adultos varones y mujeres, el modelo general unidimensional reportó un ajuste adecuado (índice de ajuste comparativo: 0,990, índice de Tucker-Lewis: 0,987, residuo estandarizado cuadrático medio: 0,048, raíz del error cuadrático medio de aproximación: 0,071), lo mismo ocurrió para cada variedad del quechua. La confiabilidad fue alta para todas las variedades (α = 0,865 - 0,915; ω = 0,833 - 0,881). Los resultados del CFA multigrupos y modelos MIMIC confirmaron invarianza de medida según variante del quechua, sexo, residencia, edad, estado civil y nivel educativo. Conclusiones . Las adaptaciones del PHQ-9 a Quechua Central, Chanca y Cuzco-Collao ofrecen una medición válida, confiable e invariante, confirmando que se pueden hacer comparaciones en los grupos evaluados. Su uso beneficiará a la investigación y a la atención en salud mental de poblaciones quechuahablantes.

Objective . To translate and culturally adapt the Patient Health Questionnaire (PHQ-9) to three varieties of Quechua and analyse their validity, reliability, and measurement invariance. Materials and methods . 1) Cultural adaptation phase: the PHQ-9 was translated from English into three variants of Quechua (Central, Chanca, Cuzco-Collao) and translated again into English. Then, experts and focus groups allowed the translations to be culturally adapted. 2) Psychometric phase: the unidimensionality of the adapted PHQ-9 was evaluated by using Confirmatory Factor Analysis (CFA), reliability was evaluated by internal consistency (Alpha and Omega), and measurement invariance according to Quechua varieties and sociodemographic variables was evaluated by using CFA, multigroups and MIMIC models (Multiple Indicator Multiple Cause). Results . Each of the adaptations of the PHQ-9 to the three Quechua varieties reported clear and culturally equivalent items. Subsequently, data from 970 Quechua-speaking adult men and women were analyzed. The general one-dimensional model reported an adequate fit (Comparative fit index = 0.990, Tucker-Lewis index = 0.987, Standardized root mean squared residual= 0.048, Root mean squared error of approximation=0.071); each of the Quechua varieties also showed an adequate fit. Reliability was high for all varieties (α = 0.865 - 0.915; ω = 0.833 - 0.881). The results of the multigroup CFA and MIMIC models confirmed measurement invariance according to Quechua variant, sex, residence, age, marital status and educational level. Conclusions . The PHQ-9 adaptations to Central Quechua, Chanca and Cuzco-Collao offer a valid, reliable and invariant measurement, confirming that comparisons can be made between the evaluated groups. Its use will benefit mental health research and care for Quechua-speaking populations.

Tobacco consumption and positive mental health: an epidemiological study from a positive psychology perspective.

BACKGROUND: Positive mental health (PMH) is much more than the absence of mental illnesses. For example, PMH explains that to be happy or resilient can drive us to live a full life, giving us a perception of well-being and robustness against everyday problems. Moreover, PMH can help people to avoid risky behaviours like tobacco consumption (TC). Our hypothesis was that PMH is negatively associated with TC, and this association differs across rural, urban and migrant populations. METHODS: A cross-sectional study was conducted using the PERU MIGRANT Study's dataset, including rural population from the Peruvian highlands (n = 201), urban population from the capital city Lima (n = 199) and migrants who were born in highlands but had to migrated because of terrorism (n = 589). We used an adapted version of the 12-item Global Health Questionnaire to measure PMH. The outcome was TC, measured as lifetime and recent TC. Log-Poisson robust regression, performed with a Maximum Likelihood method, was used to estimate crude prevalence ratios (PR) and 95 % confidence intervals (95%CI), adjusted by sex, age, family income and education which were the confounders. The modelling procedure included the use of LR Test, Akaike information criteria (AIC) and Bayesian information criteria (BIC). RESULTS: Cumulative occurrence of tobacco use (lifetime TC) was 61.7 % in the rural group, 78 % in the urban group and 76.2 % in rural-to-urban migrants. Recent TC was 35.3 % in the rural group, 30.7 % in the urban group and 20.5 % in rural-to-urban migrants. After adjusting for confounders, there was evidence of a negative association between PMH and lifetime TC in the rural group (PR = 0.93; 95%CI: 0.87-0.99), and a positive association between PMH and recent TC in migrants (PR = 1.1; 95%CI: 1.0-1.3). CONCLUSIONS: PMH was negatively associated with TC in rural participants only. Urbans exhibited just a similar trend, while migrants exhibited the opposite one. This evidence represents the first step in the route of knowing the potential of PMH for fighting against TC. For rural populations, this study supplies new information that could support decisions about prevention programmes and psychotherapy for smoking cessation. However, more research in the topic is needed.