The Psychometric Properties of the Chinese Version of the Beck Depression Inventory-II With Middle School Teachers

Wang, Xiuna; Wang, Yutong; Xin, Tao

doi:10.3389/fpsyg.2020.548965

Cited by 29 publications

(34 citation statements)

References 59 publications

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“…Al comparase con otros estudios se advierte similitud en los resultados obtenidos lo que ha demostrado sistemáticamente que el BDI-II es un instrumento confiable. (Brenlla & Rodríguez, 2006;Sanz, 2013;Amaro, 2015;Strunk, 2017;Wang, 2020).…”

Section: Discussionunclassified

“…Con los datos recolectados en esta muestra de adolescentes se realizó primeramente un análisis factorial exploratorio sin tener definido a priori el número de factores con que se reduciría el conjunto de variables estudiadas; en este proceso se extrajeron cuatro factores. Posteriormente y tomando como referente los antecedentes teóricos y empíricos que respaldan la extracción de dos factores en el BDI-II (Osman et al, 2008;Wang et al,2020), se realizó un segundo análisis exploratorio, en esta oportunidad, predeterminando la extracción de dos factores . El fin de este procedimiento fue conocer los reactivos que se agruparían en uno u otro factor según la muestra estudiada.…”

Section: Validez De Constructo Del Bdi-ii Adaptadounclassified

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Adaptación y propiedades psicométricas del inventario de depresión de beck (bdi-ii) en adolescentes ecuatorianos

Castro¹,

Ortega²

2021

S. F. J. of Dev.

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El Inventario de Depresión de Beck (BDI-II) es uno de los instrumentos más empleados a nivel clínico e investigativo para evaluar la depresión. Objetivo. Adaptar y validar el BDI-II para su uso en la identificación de síntomas depresivos en población adolescente de Ecuador. Método. Estudio instrumental orientado a obtener la adaptación cultural, evidencias de validez y fiabilidad del (BDI-II). Participaron 871 adolescentes entre 13 y 18 años de edad seleccionados por muestreo no probabilístico. La validez del contenido del instrumento se evaluó mediante criterio de jueces y cálculo del Coeficiente de concordancia W de Kendall. Se realizó Análisis Factorial a través del Método de Componentes Principales. La asociación entre variables se analizó con el Coeficiente de correlación de Rho de Spearman. Para evaluar la validez convergente del (BDI-II) se empleó la Escala de Desesperanza de Beck (BHS) y la Escala de Valoración del Estado de Ánimo (EVEA). Resultados. El análisis factorial evidenció la existencia de una matriz de dos factores que explicó el 43.12% de la varianza total observada. Se obtuvieron evidencias favorables sobre validez y consistencia interna del instrumento (a= .86). Conclusiones. La versión ecuatoriana del BDI-II posee estructura bifactorial consistente con la versión original y adaptaciones precedentes realizadas al instrumento en otros países de habla hispana. Es apto para ser utilizado en el diagnóstico de síntomas depresivos en población adolescente en el contexto ecuatoriano. The Beck Depression Inventory (BDI-II) is one of the most widely used clinical and research instruments to assess depression. Objective. To adapt and validate the BDI-II for its use in the identification of depressive symptoms in the adolescent population of Ecuador. Method. Instrumental study oriented to obtain the cultural adaptation, validity and reliability evidences of the BDI-II. A total of 871 adolescents between 13 and 18 years of age selected by non-probabilistic sampling participated. The content validity of the instrument was evaluated by means of judges' criteria and calculation of Kendall's W concordance coefficient. Factorial analysis was performed using the Principal Component Method. The association between variables was analyzed with Spearman's Rho correlation coefficient. The Beck Hopelessness Scale (BHS) and the Mood Rating Scale (EVEA) were used to evaluate the convergent validity of the BDI-II. Results. Factor analysis showed the existence of a two-factor matrix that explained 43.12% of the total variance observed. Favorable evidence was obtained on the validity and internal consistency of the instrument (a= .86). Conclusions. The Ecuadorian version of the BDI-II has a bifactorial structure consistent with the original version and previous adaptations made to the instrument in other Spanish-speaking countries. It is suitable for use in the diagnosis of depressive symptoms in the Ecuadorian adolescent population.

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Section: Discussionunclassified

Section: Validez De Constructo Del Bdi-ii Adaptadounclassified

Adaptación y propiedades psicométricas del inventario de depresión de beck (bdi-ii) en adolescentes ecuatorianos

Castro¹,

Ortega²

2021

S. F. J. of Dev.

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“…Responses were summed up to yield the total score, which could range from 0 to 63, with higher scores meaning higher levels of depressive symptoms ( 42 ). The Chinese version has good reliability and validity, with Cronbach's alpha 0.94 ( 43 ).…”

Section: Methodsmentioning

confidence: 99%

Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students

Guo

Xiao

et al. 2022

Front. Psychiatry

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There have been numerous studies on the relationship between sleep and depression, as well as the relationship between sleep and depression, and heart rate variability (HRV), respectively. Even so, few studies have combined 24-h HRV analysis to study sleep quality and depressive symptoms. The purpose of this cross-sectional study was to investigate the relationship between depressed symptoms, sleep quality, and 24-h HRV in medical students. The particiants were all students at a medical university in Guangdong province, China. A total of 74 college students participated. They were asked to complete a questionnaire that included the Pittsburgh Sleep Quality Index (PSQI), the Beck Depression Inventory-II (BDI-II), the Positive and Negative Affect Scale (PANAS), and 24-h ECG monitoring. The results showed that 41.7% of the medical students had poor sleep quality, with higher levels of depressive symptoms and more negative emotions, and there was no difference in 24-h HRV indices between the low PSQI group and the high one. Correlation analysis showed that there was a significant relationship between sleep quality and depressive symptoms (r = 0.617), but the relationship between 24-h HRV indices and PSQI global scores, BDI scores were not significant. However, the correlation analysis of PSQI components and 24-h HRV showed that sleep disturbance was significantly negatively correlated with SDNN and LF in waking period (r = −0.285, −0.235), and with SDNN in sleeping period (r = −0.317). In general, the sleep disturbance in PSQI components can sensitively reflect the relationship between sleep quality and 24-h HRV of medical students. Individuals with higher sleep disturance may have lower SDNN during awake period and bedtime period, and lower LF in awake period. Twenty-four hour HRV has certain application value in clinical sleep quality monitoring, and its sensitivity and specificity in clinical application and daily life are still worth further investigation.

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“…To assess depression levels, Beck depression inventory (BDI-II) was used. The BDI-II is a self-report scale with 21-items corresponding to the severity of depressive symptoms [ 51 , 52 ]. Scores equal to or lower than 4 represent no depression; scores between 5 and 13 represent mild depression; scores between 14 and 20 represent moderate depression; scores equal to or above 21 represent severe depression.…”

Section: Methodsmentioning

confidence: 99%

Remote and adjacent psychological predictors of early-adulthood resilience: Role of early-life trauma, extraversion, life-events, depression, and social-support

et al. 2021

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Resilience is important for people to maintain mental health after negative life-events. However, its longitudinal psychological and social predictors are poorly revealed. Based on the ecological system theory model, the current study aimed to determine the longitudinal temporal mechanism underlying the development of early-adulthood resilience using long-term (early-life trauma and personality), medium-term and short-term (life-events, social support, and depression) psychosocial predictors. A total of 505 university students were recruited at baseline (T1), 433 of whom took part in a three-year longitudinal investigation (T2). The results showed that at T1 and T2, the resilience scores of individuals were identically high (72.98 and 73.21, respectively). Pearson correlation analysis showed that early-adulthood resilience was negatively correlated with early-life trauma, psychoticism and neuroticism, depression, ad life-events, and positively correlated with extraversion, social-support, and resilience. Regression and structural equation models showed that extraversion had a direct positive effect on T1 resilience through the mediation of T1 life-events, depression, and social-support, while childhood emotional neglect (EN) had indirect negative effect and extraversion had direct positive effect on T2 resilience through the mediation of T1 resilience, and T2 depression and social-support. In conclusion, this study is among the first to reveal the longitudinal temporal process of the development of early-adulthood resilience using remote and adjacent psychosocial predictors. The findings confirm that childhood EN and extraversion have a remote impact on early-adulthood resilience through recent and current depression and social-support. Our results imply that early-life trauma does not hinder the development of early-adulthood resilience in a linear trend.

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The Psychometric Properties of the Chinese Version of the Beck Depression Inventory-II With Middle School Teachers

Cited by 29 publications

References 59 publications

Adaptación y propiedades psicométricas del inventario de depresión de beck (bdi-ii) en adolescentes ecuatorianos

Adaptación y propiedades psicométricas del inventario de depresión de beck (bdi-ii) en adolescentes ecuatorianos

Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students

Remote and adjacent psychological predictors of early-adulthood resilience: Role of early-life trauma, extraversion, life-events, depression, and social-support

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