Beck Depression Inventory-II Items Research Articles

Impact of depressive symptoms on medication adherence in older adults with chronic neurological diseases

BackgroundNonadherence to medication contributes substantially to worse health outcomes. Especially among older adults with chronic illness, multimorbidity leads to complex medication regimes and high nonadherence rates. In previous research, depressive symptomology has been identified as a major contributor to nonadherence, and some authors hypothesize a link via motivational deficits and low self-efficacy. However, the exact mechanisms linking depressive symptomology and nonadherence are not yet understood. This is in part because the often-employed sum scores cannot do justice to the complexity of depressive symptomology; instead, it is recommended to assess the influence of individual symptoms.MethodsFollowing this symptom-based approach, we performed correlation, network and regression analysis using depressive symptoms as depicted by the items of the revised Beck Depression Inventory II (BDI) to assess their influence with nonadherence in N = 731 older adults with chronic neurological diseases. Nonadherence was measured with the self-report Stendal Adherence to Medication Score (SAMS).ResultsEven when controlling for sociodemographic and health-related covariates, the BDI remained the most influential contributor to nonadherence. Across different methods, Loss of Interest and Difficulty with Concentration were identified as particularly influential for nonadherence, linking nonadherence with other affective or somatic BDI items, respectively. Additionally, Fatigue, Problems with Decision Making, Suicidal Thoughts, and Worthlessness contribute to nonadherence.ConclusionUsing a symptom-driven approach, we aimed to understand which depressive symptoms contribute to higher levels of nonadherence. Our results refine previous hypotheses about motivation and control beliefs by suggesting that it is not merely a lack of beliefs in the efficacy of medication that connects depressive symptoms and nonadherence, but rather an overall lack of interest in improving one’s health due to feelings of worthlessness and suicidal tendencies. This lack of interest is further substantiated by already sparse resources caused by changes in concentration and fatigue. In order to improve health outcomes and reduce nonadherence, these associations between depressive symptoms must be further understood and targeted in tailored interventions.

Depressive Symptoms and Their Impact on Quality of Life in Parkinson's Disease: An Exploratory Network Analysis Approach.

The clinical presentation of Parkinson's disease (PD) is often dominated by depressive symptoms, which can significantly impact the patients' quality of life (QoL). However, it is not clear how these depressive symptoms are interconnected, or if some symptoms are more influential in affecting QoL. In the Cohort of Patients with Parkinson's Disease in Spain (COPPADIS) study, 686 patients with PD were analyzed using network analyses. The patients completed the Beck Depression Inventory II (BDI-II) and provided their overall QoL (EUROHIS-QOL) at the beginning of the study. The study used centrality measures such as Expected Influence and Bridge Expected Influence to identify depressive symptoms that had the greatest impact on overall QoL. The results of exploratory network analyses indicate that the BDI-II items related to loss of energy, past failure, and tiredness or fatigue have the greatest impact on overall QoL as measured by the EUROHIS-QOL 8-item index. The loss of energy and tiredness or fatigue BDI-II items are also strongly associated with a number of different EUROHIS-QOL items, according to Bridge Expected Influences. For individuals suffering from PD, network analysis can aid in identifying significant non-motor symptoms that impact their QoL, thus paving the way for potential improvements.

The Factor Structure and Stability of the Beck Depression Inventory-II (BDI-II) in a Population Undergoing Bariatric Surgery.

Depression is a multifaceted psychiatric condition that has been associated with suboptimal weight loss following bariatric surgery. Previous variations of Beck Depression Inventory-Second Edition (BDI-II) subscales been proposed, including those identified within bariatric populations; however, it is unclear whether the BDI-II items contained within these subscales would remain consistent after the procedure considering the physical and lifestyle changes that occur following bariatric surgery. A two-step analytic approach that comprised of exploratory (EFA) and confirmatory factor analyses (CFA) that aimed to identify a stable factor structure using pre- and 6-month post-surgical BDI-II responses. Baseline BDI-II responses of 149 patients (Group 1) were used to identify an initial EFA model. Five BDI-II models underwent CFA using BDI-II responses of a comparable pre-surgical group (Group 2; n = 142), and 6-month post-surgical data from Group 1. EFA generated a two-factor solution. Of the five CFA models performed, the three-factor model that was initially identified by Hayes (2015) among patients undergoing bariatric surgery demonstrated superior fit across time and between groups. Although the EFA initially identified a two-factor model, CFA determined that a previously defined three-factor model reliably fit both pre- and post-surgical BDI-II responses. This study supports using the Hayes (2015) subscales when monitoring pre- and post-bariatric surgery facets of depression specific to this population. Being able to accurately and reliably monitor depressive symptoms of patients that are undergoing bariatric surgery will allow for the provision and monitoring of targeted interventions aimed at improving their mental and physical health outcomes.

Trace of depression: network structure of depressive symptoms in different clinical conditions.

AbstractBackgroundPsychopathological network model has received attention recently in the traditional debate about the continuity of depression. However, there is little evidence for comparing the network structure of depressive symptoms in several depressive states at different clinical stages. Through this study of a broad sample of patients with nonclinical to clinical depression, we examined differences in the network structure of depressive symptoms.MethodsFour groups of participants, including cohorts of clinical depression (current depression, n = 294; remitted depression, n = 118) and nonclinical depression (subthreshold depression, N = 184; healthy control, n = 257), responded to Beck Depression Inventory-II (BDI-II). After adjusting for age and sex, the residual scores of the 21 BDI-II items were input into a regularized partial correlation network for each group. Then, the estimated edge strengths/densities and node characteristics were compared.ResultsCurrent depression has a discontinuous structure with a stronger and denser network of symptoms compared with nonclinical groups. Interestingly, remitted depression had improved to the level in healthy controls; however, it retained the same network structure as current depression, which indicates a trace of depression.ConclusionsWe found the traces of depression that remained even after the symptoms disappeared. This study might provide a novel framework for elucidating the development and formation of depression.

Differential Co-Occurring Patterns Between Depressive Symptomatology and Sleep-Wake-Related Disturbances in Mood Disorders.

PurposeThis study aimed to elucidate the various co-occurring patterns of depressive symptomatology and sleep-wake-related disturbances (SWRDs) in patients with mood disorders.Patients and MethodsIndividuals in non-acute states of major depressive disorder or bipolar disorder were recruited. The Beck Depression Inventory II (BDI-II) was utilized to evaluate depressive symptoms. BDI-II items were classified into three domains: cognitive, affective, and somatic. Between-domain differences with various SWRDs were examined. Latent class analysis was used to empirically classify participants using BDI-II items as indicator variables. Co-occurring patterns between domains of BDI-II items and SWRDs were re-examined in each subgroup to elucidate inter-individual differences.ResultsIn total, 657 participants were enrolled. Of participants, 66.8% were female, and 52.4% were diagnosed with major depressive disorder. Each BDI-II domain exhibited different co-occurring patterns. The somatic domain was most likely to co-occur with various SWRDs. Three subgroups were derived from latent class analysis and were designated as poor sleep quality and high insomnia (n=150), poor sleep quality and moderate insomnia (n=248), and poor sleep quality and low insomnia (n=159). The group with more severe insomnia presented with more severe depressive and anxiety symptoms. The three subgroups further differed in co-occurring patterns. From the low insomnia to high insomnia group, the associations with various SWRDs appeared in the sequence of somatic, affective, and cognitive domains.ConclusionCo-occurring patterns between domains of depressive symptomatology with various SWRDs differ and may vary among individuals.

Differential treatment effects of an integrated motivational interviewing and exercise intervention on depressive symptom profiles and associated factors: A randomised controlled cross-over trial among youth with major depression

BackgroundExercise is increasingly recognised as an efficacious intervention for major depressive disorder (MDD) but to our knowledge differential treatment effects on depressive symptom profiles (cognitive, somatic and affective) and associated changes in psychological, physiological and behavioural factors have not been examined among youth with MDD. MethodsSixty-eight participants (mean age 20.8) meeting DSM-IV diagnostic criteria for MDD were randomised to an Immediate intervention or Control/delayed condition (n = 34 per group). The integrated intervention comprised an initial session of motivational interviewing (MI) followed by a 12-week, multi-modal exercise program. Changes in depressive symptom profiles were assessed with the Beck Depression Inventory-II (BDI-II) total score and factorial symptom subscales. ResultsThere were significant differential improvements in BDI-II total scores post-treatment among intervention participants, which were also observed across the cognitive and affective subscales. Individual BDI-II items from the cognitive subscale showing significant differential improvement related to negative self-concept, while those from the affective subscale related to interest/activation; the energy item within the somatic subscale also revealed significant differential improvement. Significant differential improvements were also observed in exercise participation, negative automatic thoughts, behavioural activation and bench press repetitions among intervention participants, which correlated significantly with depression improvements. LimitationsThe exercise intervention was delivered in a supervised, group format and potential social meditators of change cannot be excluded. ConclusionsExercise differentially effects depressive symptom profiles with similar antidepressant effects as would be expected from psychological therapies improving negative cognition and emotional health.

Can Gender and Age Impact on Response Pattern of Depressive Symptoms Among College Students? A Differential Item Functioning Analysis.

Background: Self-reported depressive complaints among college students might indicate different degrees of severity of depressive states. Through the framework of item response theory, we aim to describe the pattern of responses to items of the Beck Depression Inventory-II (BDI-II), in terms of endorsement probability and discrimination along the continuum of depression. Potential differential item functioning of the scale items of the BDI-II is investigated, by gender and age, to compare across sub-groups of students.Methods: The 21-item BDI-II was cross-sectionally administered to a representative sample of 12,677 Brazilian college students. Reliability was evaluated based on Cronbach's alpha coefficient. Severity (bi) and discrimination (a) parameters of each BDI-II items were calculated through the graded response model. The influence of gender and age were tested for differential item functioning (DIF) within the item response theory-based approach.Results: The BDI-II presented good reliability (α = 0.91). Women and younger students significantly presented a higher likelihood of depression (cut-off > 13) than men and older counterparts. In general, participants endorsed more easily cognitive-somatic items than affective items of the scale. “Guilty feelings,” “suicidal thoughts,” and “loss of interest in sex” were the items that most likely indicated depression severity (b ≥ 3.60). However, all BDI-II items showed moderate-to-high discrimination (a ≥ 1.32) for depressive state. While two items were flagged for DIF, “crying” and “loss of interest in sex,” respectively for gender and age, the global weight of these items on the total score was negligible.Conclusions: Although respondents' gender and age might present influence on response pattern of depressive symptoms, the measures of self-reported symptoms have not inflated severity scores. These findings provide further support to the validity of using BDI-II for assessing depression in academic contexts and highlight the value of considering gender- and age-related common symptoms of depression.

Response pattern of depressive symptoms among college students: What lies behind items of the Beck Depression Inventory-II?

BackgroundThis study examines the response pattern of depressive symptoms in a nationwide student sample, through item analyses of a rating scale by both classical test theory (CTT) and item response theory (IRT). MethodsThe 21-item Beck Depression Inventory–II (BDI-II) was administered to 12,711 college students. First, the psychometric properties of the scale were described. Thereafter, the endorsement probability of depressive symptom in each scale item was analyzed through CTT and IRT. Graphical plots depicted the endorsement probability of scale items and intensity of depression. Three items of different difficulty level were compared through CTT and IRT approach. ResultsFour in five students reported the presence of depressive symptoms. The BDI-II items presented good reliability and were distributed along the symptomatic continuum of depression. Similarly, in both CTT and IRT approaches, the item ‘changes in sleep’ was easily endorsed, ‘loss of interest’ moderately and ‘suicidal thoughts’ hardly. Graphical representation of BDI-II of both methods showed much equivalence in terms of item discrimination and item difficulty. The item characteristic curve of the IRT method provided informative evaluation of item performance. LimitationThe inventory was applied only in college students. ConclusionDepressive symptoms were frequent psychopathological manifestations among college students. The performance of the BDI-II items indicated convergent results from both methods of analysis. While the CTT was easy to understand and to apply, the IRT was more complex to understand and to implement. Comprehensive assessment of the functioning of each BDI-II item might be helpful in efficient detection of depressive conditions in college students.

The effects of the gender-culture interaction on self-reports of depressive symptoms: cross-cultural study among Egyptians and Canadians.

PurposeResearch in depression has revealed differences in the way depressed individuals across cultures report their symptoms. This literature also points to possible differences in symptom reporting patterns between men and women. Using data from a larger dataset (Beshai et al. 2016), the current study examined whether non-depressed and depressed Egyptian and Canadian men and women differed in their self-report of the various domains of the Beck Depression Inventory –II (BDI-II).MethodWe recruited a total of 131 depressed and non-depressed participants from both Egypt (n = 29 depressed; n = 29 non-depressed) and Canada (n = 35 depressed; n = 38 non-depressed). Depression status was ascertained using a structured interview. All participants were asked to complete the BDI-II along with other self-report measures of depression. BDI-II items were divided into two subscales in accordance with Dozois, Dobson & Ahnberg (1998) factor analysis: cognitive-affective and somatic-vegetative subscales.ResultsWe found a significant three-way interaction effect on the cognitive-affective (F(1,121) = 9.51, p = .003) and main effect of depression status on somatic-vegetative subscales (F(1,121) = 42.80, p < .001). Post hoc analyses revealed that depressed Egyptian men reported lower scores on the cognitive-affective subscale of the BDI-II compared to their depressed Canadian male counterparts.ConclusionsThese results suggest that males across cultures may differentially report cognitive symptoms of depression. These results also suggest that clinicians and clinical scientists need to further examine the interaction effect of culture and gender when investigating self-reported symptoms of depression.

Comparison Between the Montgomery-Asberg Depression Rating Scale-Self and the Beck Depression Inventory II in Primary Care.

The Montgomery-Asberg Depression Rating Scale-Self (MADRS-S) and the Beck Depression Inventory II (BDI-II) are commonly used self-assessment instruments for screening and diagnosis of depression. The BDI-II has 21 items and the MADRS-S has 9 items. These instruments have been tested with psychiatric inpatients but not in outpatient primary care, where most patients with symptoms of depression initially seek treatment. The purpose of this study was to compare these 2 instruments in the primary care setting. Data were collected from 2 primary care randomized controlled trials that were performed from 2010 to 2013 in Sweden: the Primary Care Self-Assessment MADRS-S Study and Primary Care Internet-Based Cognitive Behavioral Therapy Study. There were 146 patients (73 patients each from both trials) who had newly diagnosed mild or moderate depression (per DSM-IV recommendations) and who had assessment with both the MADRS-S and BDI-II at primary care centers. Comparability and reliability of the instruments were estimated by Pearson product moment correlation and Cronbach α. A good correlation was observed between the 2 instruments: 0.66 and 0.62 in the 2 study cohorts. The reliability within the 2 study cohorts was good for both MADRS-S (Cronbach α: 0.76 for both cohorts) and BDI-II items (Cronbach α: 0.88 and 0.85). The 2 instruments showed good comparability and reliability for low, middle, and high total depression scores. The MADRS-S may be used as a rapid, easily administered, and inexpensive tool in primary care and has results comparable to the BDI-II in all domains.

Examination of the Beck Depression Inventory-II Factor Structure Among Bariatric Surgery Candidates.

The Beck Depression Inventory-II (BDI-II) is frequently used to evaluate bariatric patients in clinical and research settings; yet, there are limited data regarding the factor structure of the BDI-II with a bariatric surgery population. Exploratory factor analysis (EFA) using principal axis factoring with oblimin rotation was employed with data from 1228 consecutive presurgical bariatric candidates. Independent t tests were used to examine potential differences between sexes. Confirmatory factor analysis (CFA) was conducted with the next 383 consecutive presurgical patients to evaluate the proposed model based on EFA results. EFA revealed three factors: negative perceptions, diminished vigor, and cognitive dysregulation, each with adequate internal consistency. Six BDI-II items did not load significantly on any of the three factors. CFA results largely supported the proposed model. Results suggest that dimensions of depression for presurgical bariatric candidates vary from other populations and raise important caveats regarding the utility of the BDI-II in bariatric research.

Meta-Analysis of the Factor Structures of the Beck Depression Inventory-II.

Two meta-analyses examined the factor structure of the Beck Depression Inventory-II (BDI-II). Study 1, which meta-analyzed 51 studies comprising 62 samples (N = 20,475) providing pattern matrices, determined that the two-factor solution comprising Cognitive and Somatic-Affective factors was supported for the full sample. The two-factor solution was also supported for subgroups of studies. As the factor structure varied somewhat between subgroups of studies, the strength of relationships between scale items and their underlying depressive symptoms varied. Hence, comparisons of mean BDI-II scores across subgroups can be misleading. Study 2 meta-analyzed 13 studies consisting of 16 samples (N = 5,128) providing covariance matrices among the 21 BDI-II items. The two-factor solution was again supported in Study 2. Nevertheless, the existence of a general depression factor was supported by the good fit of the one-factor model.

Standardized Beck Depression Inventory-II scores for male veterans coping with chronic pain.

The Beck Depression Inventory II (BDI-II) has been suspected of overestimating the level of depression in individuals that endure chronic pain. Using a sample (N = 345) of male military veterans with chronic pain enrolled in an outpatient treatment program, a factor analysis on the BDI-II revealed a "Somatic Complaints" factor along with 2 other factors we labeled "Negative Rumination" and "Mood." Standardized scores were provided for each BDI-II factor score, Total score, and Total minus Somatic score. The internal consistency reliabilities (Gilmer-Feldt and alpha coefficients) for all scores were found to be clinically acceptable. Item-Total score correlations found that all of the BDI-II items were good discriminators (r > .30). We conclude that the normative data provided in this study should help control for somatic responding by male chronic pain veterans on the BDI-II. We highly recommend that clinicians and researchers use the norm-referenced method when interpreting BDI-II scores from individuals suffering from chronic pain.

Brain-Derived Neurotrophic Factor Serum Levels and Genotype: Association with Depression during Interferon-α Treatment

Depression has been associated with inflammation, and inflammation may both influence and interact with growth factors such as brain-derived neurotrophic factor (BDNF). Both the functional Val66Met BDNF polymorphism (rs6265) and BDNF levels have been associated with depression. It is thus plausible that decreased BDNF could mediate and/or moderate cytokine-induced depression. We therefore prospectively employed the Beck Depression Inventory-II (BDI-II), the Hospital Anxiety and Depression Scale (HADS), and the Montgomery-Asberg Depression Rating Scale (MADRS) in 124 initially euthymic patients during treatment with interferon-alpha (IFN-α), assessing serum BDNF and rs6265. Using mixed-effect repeated measures, lower pretreatment BDNF was associated with higher depression symptoms during IFN-α treatment (F144,17.2=6.8; P<0.0001). However, although the Met allele was associated with lower BDNF levels (F1,83.0=5.0; P=0.03), it was only associated with increased MADRS scores (F4,8.9=20.3; P<0.001), and not the BDI-II or HADS. An exploratory comparison of individual BDI-II items indicated that the Met allele was associated with suicidal ideation, sadness, and worthlessness, but not neurovegetative symptoms. Conversely, the serotonin transporter promoter polymorphism (5-HTTLPR) short allele was associated with neurovegetative symptoms such as insomnia, poor appetite and fatigue, but not sadness, worthlessness, or suicidal ideation. IFN-α therapy further lowered BDNF serum levels (F4,37.7=5.0; P=0.003), but this decrease occurred regardless of depression development. The findings thus do not support the hypothesis that decreasing BDNF is the primary pathway by which IFN-α worsens depression. Nonetheless, the results support the hypothesis that BDNF levels influence resiliency against developing inflammatory cytokine-associated depression, and specifically to a subset of symptoms distinct from those influenced by 5-HTTLPR.

Screening for depression in the postpartum using the Beck Depression Inventory II: What logistic regression reveals

Objective: To identify items on the Beck Depression Inventory-II (BDI-II) that best discriminate between clinically depressed and nondepressed postpartum women. Background: Postpartum depression is a serious and widespread health burden, and the BDI-II is commonly used to detect depression in the postpartum. Yet certain depressive symptoms are ‘normative’ sequelae of childbirth, calling into question the discriminative utility of the BDI-II. Methods: We examined the prospective contribution of BDI-II items to identify items that have the strongest relation with clinical postpartum depression. Women with BDI-II scores >12 were invited to participate in a structured clinical interview. A logistic regression was conducted to determine which BDI-II items discriminated between women who were later diagnosed as Depressed (n = 75) and Nondepressed (n = 78). Results: Of the 11 BDI-II items that differed between the two groups, eight represented cognitive/affective symptoms. Results from the logistic regression indicated that four BDI-II symptoms were significant predictors of Depression status: sadness, pessimism, loss of interest, and changes in appetite. Conclusion: The BDI-II should be used in the postpartum with caution. Professionals who screen for postpartum depression should pay particular attention to cognitive/affective symptoms, as they appear more robust to normative physical and emotional changes that occur in the postpartum.

A general factor model for the Beck Depression Inventory-II: Validation in a sample of patients hospitalized with acute myocardial infarction

Objective Many studies have linked symptoms of depression after an acute myocardial infarction (AMI) to negative health outcomes, including mortality. It has been suggested, however, that this link may be due to biased measurement of depressive symptoms in post-AMI patients related to confounding with somatic symptoms related to AMI. The objective of this study was to validate a factor model for the Beck Depression Inventory-II (BDI-II) that would allow for modeling of depressive symptoms after explicitly removing bias related to somatic symptom overlap. Methods A total of 477 hospitalized post-AMI patients from 10 cardiac care units were administered the BDI-II. Confirmatory factor analysis models for ordinal data were conducted with MPLUS to test the fit of a model with a single General Depression factor (all 21 BDI-II items) and uncorrelated Somatic (5 items) and Cognitive (8 items) factors (G-S-C model) compared to standard correlated two-factor models. Results The G-S-C model fit as well or better than previously published correlated two-factor models. Seventy-three percent of variance in BDI-II scores is accounted for by the General Depression factor, whereas 11% and 13% respectively are accounted for by uncorrelated Somatic and Cognitive factors. Conclusions The G-S-C model is a novel approach to understanding the measurement structure of the BDI-II, presents advantageous statistical and interpretive properties compared to standard correlated factor models, and provides a viable mechanism to test links between symptoms of depression, as measured by the General Depression factor, and health outcomes among patients with AMI after explicitly removing variance from somatic symptoms unrelated to the General Depression factor.

Depressive Symptoms in Women Experiencing Intimate Partner Violence

The study was a cross-sectional examination of African American women positive for intimate partner violence (IPV) who presented to the medical or psychiatric emergency department (ED) for treatment. African American women with a recent history of IPV who presented following an attempted suicide (n = 100) were compared to demographically comparable African American women who were IPV positive who had not attempted suicide and presented for treatment of another condition(n= 100). Women completed face-to-face interviews on several measures, including demographics and the Beck Depression Inventory-II (BDI-II). Overall, there were no demographic differences between cases and controls. Attempters reported statistically significant higher scores on all 21 BDI-II items than did nonattempters. Four BDI-II items had effect size values in the medium range: sadness, self-dislike, suicidal thoughts, and feelings of worthlessness. These four items can be used as a brief screen in the ED to detect female patients positive for IPV at increased risk for suicidal behavior.

Measurement of Depressive Symptoms in Women With Breast Cancer and Women With Clinical Depression: A Differential Item Functioning Analysis

Differential item functioning (DIF) analyses of the Beck Depression Inventory-II (BDI-II) were conducted on samples of 267 women with breast cancer and 294 women with clinical depression. Patterns of items in which there was significant and nonsignificant DIF were identified using statistical tests and measures of DIF effect size. At the most general level, 15 of 21 BDI-II items were associated with nontrivial DIF suggesting that the item responses of these samples do not reflect the same underlying construct. Factor analyses of the BDI-II using a psychometrically defensible method for item level factor analysis supported the conclusions from the DIF analyses. These findings suggest that researchers and practitioners should apply caution when interpreting self-report depression symptoms in breast cancer patients.

Depressive symptoms and suicidality in women experiencing intimate partner violence

Study objectives: We compare 2 groups of abused black female emergency department (ED) patients (suicide attempters and nonattempters) with regard to specific depressive symptoms. Methods: The study was a cross-sectional examination of intimate partner violence (IPV)–positive black women who presented to the medical or psychiatric ED for treatment. Black women with a recent history of IPV who presented after an attempted suicide (n=100) were compared with demographically comparable IPV-positive black women who had not attempted suicide and presented for treatment of another condition (n=100). Women completed face-to-face interviews on several measures, including demographics and the Beck Depression Inventory-II (BDI-II). Multivariate analysis of variance was used to test the hypothesis that attempters would report higher levels on the BDI-II items compared with their nonattempting counterparts. Analyses of variance were used to assess on which specific BDI-II items the groups differed. A logistic regression analysis, using the BDI-II variables with moderate effect sizes, was conducted to predict group status. Results: Overall, there were no demographic differences between cases and controls. Attempters reported statistically significant higher scores on all 21 BDI-II items than did nonattempters. Four BDI-II items had effect size values in the medium range: sadness, self-dislike, suicidal thoughts, and feelings of worthlessness. The logistic regression model using these 4 variables correctly predicted group status 78% of the time. Conclusion: IPV patients who attempt suicide have higher levels of depressive symptoms than nonattempters. Symptoms of sadness, self-dislike, suicidal thoughts, and feelings of worthlessness had the highest predictive value. These 4 items can be used as a brief screen in the ED to detect female IPV patients at increased risk for suicidal behavior. Study objectives: We compare 2 groups of abused black female emergency department (ED) patients (suicide attempters and nonattempters) with regard to specific depressive symptoms. Methods: The study was a cross-sectional examination of intimate partner violence (IPV)–positive black women who presented to the medical or psychiatric ED for treatment. Black women with a recent history of IPV who presented after an attempted suicide (n=100) were compared with demographically comparable IPV-positive black women who had not attempted suicide and presented for treatment of another condition (n=100). Women completed face-to-face interviews on several measures, including demographics and the Beck Depression Inventory-II (BDI-II). Multivariate analysis of variance was used to test the hypothesis that attempters would report higher levels on the BDI-II items compared with their nonattempting counterparts. Analyses of variance were used to assess on which specific BDI-II items the groups differed. A logistic regression analysis, using the BDI-II variables with moderate effect sizes, was conducted to predict group status. Results: Overall, there were no demographic differences between cases and controls. Attempters reported statistically significant higher scores on all 21 BDI-II items than did nonattempters. Four BDI-II items had effect size values in the medium range: sadness, self-dislike, suicidal thoughts, and feelings of worthlessness. The logistic regression model using these 4 variables correctly predicted group status 78% of the time. Conclusion: IPV patients who attempt suicide have higher levels of depressive symptoms than nonattempters. Symptoms of sadness, self-dislike, suicidal thoughts, and feelings of worthlessness had the highest predictive value. These 4 items can be used as a brief screen in the ED to detect female IPV patients at increased risk for suicidal behavior.

Beck Depression Inventory-II Items Associated With Self-Reported Symptoms of ADHD in Adult Psychiatric Outpatients

The Beck Depression Inventory-II (BDI-II; Beck, Steer, & Brown, 1996) and the Conners' Adult ADHD Rating Scale-Self-Report: Screening Version (CAARS-S:SV; Conners, Erhardt, & Sparrow, 1999) were administered to 371 (64%) female and 204 (36%) male adult ( 18 years old) outpatients who were diagnosed with various psychiatric disorders to determine whether any of the 21 items or subsets of items in the BDI-II were related to symptoms of attention deficits and hyperactivity as measured by the CAARS-S:SV DSM-IV Total ADHD Symptoms scale (attention-deficit/hyperactivity disorder [ADHD] Symptoms). Stepwise multiple-regression analyses found that the BDI-II Concentration Difficulty explained 30% of the variance in these total scores. Ratings > 1 for the BDI-II Concentration Difficulty item were discussed as being useful for ruling out possible symptoms of ADHD.