Dimensions of the Beck depression inventory-II in clinically depressed outpatients

Steer, Robert A.; Ball, Roberta; Ranieri, William F.; Beck, Aaron T.

doi:10.1002/(sici)1097-4679(199901)55:1<117::aid-jclp12>3.0.co;2-a

Cited by 508 publications

(445 citation statements)

References 24 publications

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“…Correlated models tend to produce highly correlated factors that provide only limited discriminant validity. Because of the high factor correlations, itemfactor allocations often vary substantially across samples, which limits their substantive interpretability [21,39]. In addition, the NA-PI-SD model for the BD!…”

Section: Discussionmentioning

confidence: 99%

Probit structural equation regression model: general depressive symptoms predicted post-myocardial infarction mortality after controlling for somatic symptoms of depression

Thombs

Ziegelstein

Parakh

et al. 2008

Journal of Clinical Epidemiology

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Objective: Reported links between depression and post-acute myocardial infarction (AMI) mortality may be due to confounding between somatic symptoms of depression and symptoms related to the AMI. The objective of this study was to assess the relationship between depressive symptoms and 12-month post-AMI mortality after removing potential bias from somatic symptoms of depression.Study Design and Setting: Four hundred seventy-seven hospitalized AMI patients from 12 cardiac care units. The relationship of a General Depression factor with mortality was assessed using a probit structural equation regression model, controlling for an uncorrelated somatic symptom factor, age, Killip class, previous AMI, and other potential confounders.Results: Mortality was significantly predicted by the General Depression factor (P = 0.009), controlling for age (P = 0.128), Killip class (P = 0.210), history of AMI (P = 0.001), and other predictors in a structural equation model that removed variance related to somatic factors, but unrelated to the General Depression factor.Conclusion: This study demonstrated that the use of structural equation modeling presents a viable mechanism to test links between symptoms of depression and health outcomes among patients with AMI after explicitly removing variance due to somatic symptoms that is unrelated to the General Depression factor.

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Section: Discussionmentioning

confidence: 99%

Probit structural equation regression model: general depressive symptoms predicted post-myocardial infarction mortality after controlling for somatic symptoms of depression

Thombs

Ziegelstein

Parakh

et al. 2008

Journal of Clinical Epidemiology

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“…The BDI‐II17, 18, 19 was used to assess level of depressive symptoms in the sample. This 21‐item instrument measures the degree of depressive symptoms, such as pessimism, agitation, and loss of energy, with most items scored on a 0 to 3 scale; 2 of the items are scored on a 0 to 6 scale and then rescaled to range from 0 to 3 before inclusion in the total.…”

Section: Methodsmentioning

confidence: 99%

Micronutrient Deficiency Independently Predicts Time to Event in Patients With Heart Failure

Lennie

Andreae

Rayens

et al. 2018

JAHA

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BackgroundDietary micronutrient deficiencies have been shown to predict event‐free survival in other countries but have not been examined in patients with heart failure living in the United States. The purpose of this study was to determine whether number of dietary micronutrient deficiencies in patients with heart failure was associated with shorter event‐free survival, defined as a combined end point of all‐cause hospitalization and death.Methods and ResultsFour‐day food diaries were collected from 246 patients with heart failure (age: 61.5±12 years; 67% male; 73% white; 45% New York Heart Association [NYHA] class III/IV) and analyzed using Nutrition Data Systems for Research. Micronutrient deficiencies were determined according to methods recommended by the Institute of Medicine. Patients were followed for 1 year to collect data on all‐cause hospitalization or death. Patients were divided according to number of dietary micronutrient deficiencies at a cut point of ≥7 for the high deficiency category versus <7 for the no to moderate deficiency category. In the full sample, 29.8% of patients experienced hospitalization or death during the year, including 44.3% in the high‐deficiency group and 25.1% in the no/moderate group. The difference in survival distribution was significant (log rank, P=0.0065). In a Cox regression, micronutrient deficiency category predicted time to event with depression, NYHA classification, comorbidity burden, body mass index, calorie and sodium intake, and prescribed angiotensin‐converting enzyme inhibitors, diuretics, or β‐blockers included as covariates.ConclusionsThis study provides additional convincing evidence that diet quality of patients with heart failure plays an important role in heart failure outcomes.

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“…It is of interest whether certain features of depression might play a particularly significant role, and this cannot be deduced from associations of total summed scores. It is common to divide the BDI into two subscales: a cognitive subscale and an affective-somatic subscale (Steer, Ball, Ranieri, & Beck, 1999;Beck et al, 1996). The selection of cognitive process measures included in the present study allowed even more specific associations to be examined.…”

Section: Depression Predicts Persistence Of Persecutory Delusionsmentioning

confidence: 99%

Cognitive factors maintaining persecutory delusions in psychosis: The contribution of depression.

Vorontsova¹,

Garety²,

Freeman³

2013

Journal of Abnormal Psychology

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Depression is common in people with schizophrenia, but how it might directly contribute to the persistence of psychotic symptoms has rarely been tested. The key aim of the present study was to test whether depression and associated cognitive processes predict the maintenance of persecutory delusions. Three groups of participants were tested at baseline: 60 patients with persecutory delusions in the context of a schizophrenia spectrum diagnosis, 30 patients with depression, and 30 nonclinical controls. They completed interviewer and self-report assessments of depression and paranoia, and measures of six cognitive factors (schematic beliefs, experiential avoidance, autobiographical memory, problem solving, rumination, worry style). The patients with persecutory delusions were then assessed again, six months later. It was found that 50% of the patients with persecutory delusions met diagnostic criteria for major depression. Cognitive processes found to be associated with depression across the groups were negative schematic beliefs about the self, experiential avoidance and rumination, but not autobiographical memory or problem solving. The severity of initial depression in patients with persecutory delusions predicted the persistence of paranoia over six months. A number of cognitive factors also predicted the persistence of persecutory delusions, including negative schematic beliefs about the self, worry, and problem-solving difficulties. In conclusion, depression is common in patients with current persecutory delusions, and it shows similar cognitive features to major depressive disorder. The results of this study indicate that depression and related processes may contribute to the maintenance of paranoia. Trials are warranted of depression-related therapeutic techniques for people with persecutory delusions.

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Dimensions of the Beck depression inventory-II in clinically depressed outpatients

Cited by 508 publications

References 24 publications

Probit structural equation regression model: general depressive symptoms predicted post-myocardial infarction mortality after controlling for somatic symptoms of depression

Probit structural equation regression model: general depressive symptoms predicted post-myocardial infarction mortality after controlling for somatic symptoms of depression

Micronutrient Deficiency Independently Predicts Time to Event in Patients With Heart Failure

Cognitive factors maintaining persecutory delusions in psychosis: The contribution of depression.

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