Depresión posterior a un síndrome coronario agudo en pacientes hospitalizados: prevalencia y variables asociadas / Depression following an acute coronary syndrome in hospitalized patients: Prevalence and associated variables

Múltiples estudios confirman una asociación entre la depresión y la enfermedad arterio-coronaria (EAC). Nuestra investigación pretendió determinar la prevalencia y las variables asociadas al síndrome depresivo (SD) después de sufrir un síndrome coronario agudo (SCA). Para ello se valoraron 120 pacientes hospitalizados en dos hospitales españoles. Nuestros resultados reflejan una prevalencia del 28%, medida con puntuaciones > 13 en el Inventario de Depresión de Beck (BDI-II). Dicho SD es más común en mujeres, personas solteras y/o que viven solas, sin estudios o con estudios inferiores, inactivas laboralmente, con ingresos procedentes de pensiones, con mayor gravedad de la EAC, y con bajo apoyo social percibido (ASP). Las variables que explican el 33% de varianza del SD son: 1) no tener estudios o tener estudios inferiores, 2) mayor gravedad de la EAC, 3) menor grado de ASP, y 4) el lugar de residencia. Concluimos que la prevalencia y mayor parte de las variables asociadas son similares a otros estudios, sin embargo, la variable más explicativa, el bajo nivel de estudios, no ha sido suficientemente señalada en investigaciones previas

Multiple studies confirm an association between depression and coronary artery disease (CAD). Our research sought to determine the prevalence and associated variables with depressive syndrome (DS) after suffering an acute coronary syndrome (ACS). We assessed 120 patients hospitalized in two Spanish hospitals. Our results show a prevalence of 28% assessed with scores ≥13 in the Beck Depression Inventory (BDI-II). This DS is more common in women, living alone or single, with low level or no studies, non-employed, with income from pensions, with increased severity of CAD, and low perceived social support (PSS). The variables that account for 33% of the variance in DS are: 1) having lower or no education, 2) increased severity of CAD, 3) lower level of PSS, and 4) the place of residence. We conclude that the prevalence and most of the associated variables are similar to other studies, however, the explanatory variable, the low educational level, has not been sufficiently identified in previous research

Zung scale factor invariance in male coronary patients and healthy people

The objective of this study was, firstly, to determine the factor structure and factor invariance of the Zung Self-Rating Depression Scale (ZSDS) and, secondly, to justify its use in coronary patients (CPs) and healthy people (HP). Two comparable samples of males were studied: 217 CPs and 191 HP. Exploratory and confirmatory factor analyses (EFA and CFA) for ordinal data were carried out with Mplus. Two models obtained from all participants in this study and another two, the model of Shafer (2006) from a meta-analysis and that of Barefoot et al. (2000) with CPs, were analyzed in CFA. A two-factor structure was supported by EFA in both samples, but none of the models showed adequate goodness-of-fit for the CPs and the HP in CFA. Only the two and three-factor models obtained from the combined sample of CPs and HP showed adequate goodness-of-fit for HP. The ZSDS showed good reliability, replicated the prevalence of depressive symptoms found in other studies and was able to distinguish between CPs and HP. We conclude that the best fit is obtained from the two-factor solution in HP, that the factor structure of the ZSDS is not invariant and is linked to positively and negatively worded items (AU)

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Modelos factoriales del Inventario de Depresión de Beck-II. Validación con pacientes coronarios y una crítica al modelo de Ward / Factor models of the Beck Depression Inventory-II. Validation with coronary patients and a critique of

El objetivo del estudio era validar en una muestra de 205 enfermos coronarios un modelo factorial para el BDI-II, especialmente un modelo que permitiera modelar los síntomas depresivos tras eliminar explícitamente el sesgo asociado a los síntomas somáticos que pueden confundirse con síntomas de la enfermedad. Se realizaron análisis factoriales exploratorios y confirmatorios para datos ordinales. Se analizan un modelo monofactorial, seis modelos con dos factores correlacionados y, derivados de éstos, siete modelos con un factor general y dos factores no correlacionados. El análisis exploratorio aísla dos factores, somático-afectivo y cognitivo. En los análisis confirmatorios, el modelo monofactorial obtiene el peor ajuste. Los modelos bifactoriales son superados en bondad de ajuste por los modelos de factor general y de grupo. Entre éstos destaca el modelo General, Somático-afectivo y Cognitivo (G-Sa-C) de Beck con estudiantes. El peor el General, Somático, Cognitivo (G-S-C) reducido de Ward. Nuestro modelo supera los puntos de corte de todos los índices de ajuste. Se concluye que la inclusión de factores generales y de grupo en todos los modelos supera los resultados del modelo G-S-C y, por tanto, lo cuestiona. El modelo G-Sa-C resulta fortalecido (AU)

The objective of this study was to validate in a sample of 205 coronary patients a factor model for the BDI-II, especially a model that would allow for modeling of depressive symptoms after explicitly removing bias related to somatic symptoms of depression that would overlap those of heart disease. Exploratory and confirmatory factor analyses for ordinal data were conducted. A one-factor model, six correlated two-factor models and, derivatives thereof, seven models with a single General Depression factor and two uncorrelated factors, were analyzed. Exploratory analysis extracted two factors, Somatic-affective and Cognitive. Confirmatory factor analyses showed the worst fit for the one-factor model. Two-factor models were surpassed in goodness of fit by the models of general-factor and group factors. Among these, the General, Somatic-affective and Cognitive (G-Sa-C) model of Beck with students is noteworthy. The reduced General, Somatic and Cognitive (G-S-C) model of Ward showed the worst goodness of fit. Our model surpasses the cutoff criteria of all fit indexes. We conclude that the inclusion of a general-factor and group factors in all the models surpasses the results of G-S-C model and, therefore, questions it. The G-Sa-C model is strengthened (AU)