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Psychometric properties of the Insomnia Severity Index (ISI) in Mexican adults
Álvarez-García, Horacio Balam; Lugo-González, Isaías Vicente; González Betanzos, Fabiola.
  • Álvarez-García, Horacio Balam; s.af
  • Lugo-González, Isaías Vicente; s.af
  • González Betanzos, Fabiola; s.af
Interacciones ; 9ene. 2023.
Article in English | LILACS-Express | LILACS | ID: biblio-1448476
ABSTRACT

Background:

Insomnia is the sleep disorder with the highest incidence worldwide. It is estimated that this condition increases the risk of developing psychiatric, neurological, and cardiovascular problems. Due to this, it is important to have brief, reliable and valid psychometric instruments that allow health personnel their timely detection in first level health centers.

Objectives:

Analyze the psychometric properties of the Insomnia Severity Index (ISI) in its version adapted to Spanish in a sample of Mexican adults.

Methods:

The sample consisted of 310 adults, 223 (71.9%) women and 87 (28.1%) men. The comparison of four ISI measurement models of one, two and three factors and a bifactor model was carried out, its internal consistency was analyzed, an analysis of invariance by sex and correlation analysis with the Athens and Epworth scales.

Results:

The ISI bifactor model with a general factor (G) and a specific factor for insomnia impact (I) showed the best fit indices (χ2= 29.48,gl= 11, SRMR= 0.03, CFI= 0.98, TLI= 0.96, RMSEA= 0.07), and demonstrated configural, metric, and scalar invariance by sex. Adequate reliability was demonstrated by Omega coefficients (General ω G = 0.86, Impact ω I = 0.86) showed adequate reliability; the scale showed very strong correlations with the Athens scale (rAGoverall= 0.84; rAImpact=0.75) and weak to moderate correlations with the Epworth scale (r EGeneral = 0.39;r EImpact= 0.44).

Conclusions:

The ISI bifactor version in Spanish presents adequate psychometric properties for the measurement of insomnia and, as it is a brief tool, it can be used at different levels of health care.
RESUMEN

Introducción:

El insomnio es el trastorno de sueño de mayor incidencia a nivel mundial. Se estima que este padecimiento eleva el riesgo de desarrollar problemas psiquiátricos, neurológicos y cardiovasculares. Debido a ello es importante tener instrumentos psicométricos breves, confiables y válidos que permitan al personal de salud su oportuna detección en los centros de salud de primer nivel.

Objetivo:

Analizar las propiedades psicométricas del Índice de Severidad de Insomnio (ISI) en su versión adaptada al español en una muestra de adultos mexicanos.

Método:

Participaron 310 adultos, 223 (71.9%) mujeres y 87 (28.1%) hombres. Se realizó la comparación de cuatro modelos de medida del ISI de uno, dos y tres factores y un modelo bifactor, se analizó su consistencia interna, un análisis de invarianza por sexo y análisis de correlación con las escalas de Atenas y de Epworth.

Resultados:

Se encontró que el modelo ISI bifactor con un factor general (G) y uno específico de Impacto del insomnio (I) fue el que mostró los mejores índices de ajuste (χ2=29.48,gl= 11, SRMR= 0.03, CFI= 0.98, TLI= 0.96, RMSEA= 0.07), y que presenta invarianza configuracional, métrica y escalar por sexo. El coeficiente Omega (General ω G =0.86, Impacto ω I =0.86 ) mostraron una confiabilidad adecuada; la escala mostró correlaciones muy fuertes con la escala Atenas (r AGeneral =0.84; rAImpacto=0.75) y débiles a moderadas con la escala Epworth (r EGeneral =0.39; rEImpacto=0.44).

Conclusiones:

La versión ISI bifactor en español presenta adecuadas propiedades psicométricas para la medición del insomnio y al ser una herramienta breve puede emplearse en diferentes niveles de atención a la salud.

Full text: Available Index: LILACS (Americas) Type of study: Prognostic study Country/Region as subject: Mexico Language: English Journal: Interacciones Journal subject: Psicologia Year: 2023 Type: Article

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Full text: Available Index: LILACS (Americas) Type of study: Prognostic study Country/Region as subject: Mexico Language: English Journal: Interacciones Journal subject: Psicologia Year: 2023 Type: Article