Measuring depression using item response theory: an examination of three measures of depressive symptomatology

Clinical utility of depression measures and symptoms: Implications for suicide risk assessment in high risk, resource limited youth populations

OBJECTIVE

Suicide risk for youth in resource- limited settings has been largely underrepresented in the literature and requires targeted examination of practical ways to address this growing public health concern. The present study focuses on the clinical utility of depression risk assessment tools addressing how and for whom suicide prevention intervention is most beneficial within a low-middle-income-country, high suicide risk youth sample.

METHODS

Youth who reported a previous suicide attempt versus those who did not were criterion to test the validity of depression and hopelessness symptom assessment tools. We used item analyses to identify depressive symptom endorsements that most informed youth suicide risk, which will better equip rural practitioners for targeted intervention and monitoring of youth with an already high risk for suicide.

RESULTS

Findings demonstrated that practitioners may target symptoms of social anhedonia, depressed mood, concentration disturbance, feelings of worthlessness, sleep disturbance, and fatigue for suicide prevention-intervention efforts among high-risk youth.

CONCLUSIONS

Study implications are for clinicians' use of the BDI-II and CES-D for depression symptom identification and suicide risk monitoring in settings with limited mental health infrastructure.

Assessment of Depression in Adults and Youth

This article selectively reviews the key issues and measures for the assessment of depressive disorders and symptoms in youth and adults. The first portion of the article addresses the nature and conceptualization of depression and some key issues that must be considered in its assessment. Next, the diagnostic interview and clinician- and self-administered rating scales that are most widely used to diagnose, screen for, and assess the severity of depression in adults and youth are selectively reviewed. In addition, the assessment of three transdiagnostic clinical features (anhedonia, irritability, and suicidality) that are frequently associated with both depression and other forms of psychopathology is discussed. The article concludes with some broad recommendations for assessing depression in research and clinical practice and suggestions for future research.

Establishing the measurement precision of the patient health questionnaire in an adolescent sample

BACKGROUND

Technically sound measures are necessary for accurately identifying youth at risk for depression, but many studies rely on classical test theory metrics or adult samples to evaluate measures. This study examined the use of the PHQ-8, a common and freely available pediatric depression screener, in an adolescent sample using item response theory (IRT).

METHODS

Secondary analyses were conducted on data from a study conducted in Midwestern middle schools in which 1224 youth completed the PHQ-8 as part of a battery of surveys. Polytomous IRT analyses (a Graded Response Model) were used to evaluate the PHQ-8. Items were examined for their ability to distinguish between respondents of different latent depression severity and for differential item functioning (DIF) across demographic categories.

RESULTS

All PHQ-8 items had adequate discriminative abilities. Items measuring anhedonia and psychomotor disturbances performed relatively poorly, and items measuring somatic symptoms (appetite and sleep) were most informative when respondents endorsed extreme response options ("not at all" or "nearly every day"). No DIF was found across grade level or race, but several items were flagged for DIF by gender and student income level.

LIMITATIONS

These results might not be generalizable to a broader youth population due to administration setting and the unique demographic characteristics of this sample (76.0 % African American).

CONCLUSIONS

Tools such as the PHQ-8 are appropriate to quickly screen for depression in adolescents, but further scrutiny of adolescent response patterns is warranted. Future research should examine items measuring anhedonia and psychomotor and somatic disturbances in adolescents.

Youth screening depression: Validation of the Patient Health Questionnaire-9 (PHQ-9) in a representative sample of adolescents

BACKGROUND

Depression symptoms and mood disorders constitute one of the major public health challenges among youths. Thus, early prevention and intervention for depression should be a priority. The main goal of the present study was to validate the Patient Health Questionnaire-9 (PHQ-9) scores in a school-based sample of non-clinical adolescents.

METHOD

Stratified random sampling was conducted. Participants were 2235 students (M = 14.49, SD =1.76, range= 12-18 years), 52.9 % were female, from 34 secondary schools in Spain. Several previously validated self-reported questionnaires of mental health and psychopathology were administrated.

RESULTS

The unidimensional factorial model of the PHQ-9 items showed adequate goodness of fit indices. Strong measurement invariance across gender was found. Omega for the PHQ-9 total score was 0.87. The PHQ-9 total score was positively associated with anxiety symptoms and emotional and behavioral problems, and negatively associated with prosocial behavior and quality of life.

CONCLUSIONS

The PHQ-9 is a brief, easy, and reliable tool for assessing self-reported depressive symptoms in both clinical and school settings. PHQ-9 may be used as a screening tool for universal early detection and monitorization of depression symptoms during adolescence.

Depressive Symptom Trajectories Across Adolescence and Adulthood Among Individuals With Asthma

OBJECTIVE

Individuals with asthma experience increased depressive symptoms, which is associated with deleterious health outcomes. No studies have examined depressive symptom trajectories among individuals with asthma despite increased risk. This study expanded prior literature by identifying the following: (1) depressive symptoms trajectories for individuals with and without asthma and (2) predictors of baseline levels and changes in symptoms across time for individuals with asthma.

METHODS

Adolescents with (N = 965) and without (N = 7,392) asthma self-reported on depressive symptoms (CESD-9) across development. Covariates included: demographics and persistence of asthma. Latent growth curve modeling (LGCM) was used to identify depressive symptom trajectories and their predictors.

RESULTS

A multigroup LCGM identified no significant differences between depressive symptom trajectories of individuals with and without asthma. Depressive symptoms followed a quadratic shape across time for individuals with asthma (Mintercept = 5.73, p < .00; Mlinear = -0.38,p < .001; Mquad = 0.03, p < .001), with a linear deceleration in depressive symptoms during adolescence and an acceleration of symptoms into adulthood. Next predictors of depressive trajectories among individuals with asthma were examined. Female sex (B = 0.58, p < .001), lower parent education (B = -0.57, p < .001), older age (B = 0.19, p < .001), and identifying as Black (B = 0.31, p = .04) were associated with greater baseline depressive symptoms. Older individuals exhibited faster linear symptom decelerations (B = -0.56, p < .001) and faster symptom accelerations (B = 0.73, p < .001). American Indian (AIAN) individuals exhibited faster linear symptom decelerations (B = -1.98, p = .005) and faster quadratic accelerations (B = 3.33, p = .007).

DISCUSSION

Our results suggest that the depressive symptom trajectories of individuals with asthma are curvilinear and similar to individuals without asthma. When examining predictors of depressive symptom trajectories for those with asthma, socioeconomic disadvantage and racial marginalization were associated with greater baseline depressive symptoms. Although AIAN youth demonstrated more favorable trajectories in adolescence, they also exhibited worse trajectories across young adulthood and adulthood. Findings suggest the need to better understand the impact of multilevel risk and protective factors on depressive symptoms trajectories for individuals with asthma, especially marginalized populations.

Zur Messqualität des Beck-Depressionsinventars (BDI-II) in unterschiedlichen klinischen Stichproben

Zusammenfassung. Theoretischer Hintergrund: Das BDI-II ist ein Selbstbeurteilungsinstrument zur Erfassung des Schweregrads einer Depression. Es liegen kaum Analysen mit Modellen aus der Item-Response-Theorie (IRT) vor. Fragestellung: Wie hoch ist die Messgenauigkeit des BDI-II über die unterschiedlichen Ausprägungen des latenten Traits (Depressivität) hinweg und sind die Kategorien der Items jeweils aufsteigend geordnet? Methode: Anhand von sechs großen Datensätzen aus verschiedenen klinischen Bereichen wurden psychometrische Analysen mit dem Graded Response Model durchgeführt. Ergebnisse: In allen Stichproben fand sich eine hohe interne Konsistenz. Die Schwellenwerte waren mit Ausnahme von Item 6 („Bestrafungsgefühle“) geordnet. Gemäß Testinformationsfunktion misst das BDI-II im mittleren bis hohen Depressionsbereich sehr gut (Reliabilität > .90) und im unteren Bereich gut. Schlussfolgerung: Für das BDI-II ergibt sich eine hohe und relativ gleichbleibende Messpräzision über einen weiten Bereich des latenten Traits, weshalb es insbesondere im klinischen, aber auch im nicht klinisch relevanten Wertebereich zur Erhebung des Schweregrades einer Depression gut geeignet ist.

Bayesian modeling of item heterogeneity in dichotomous recognition memory data and prospects for computerized adaptive testing

Most current models of recognition memory fail to separately model item and person heterogeneity which makes it difficult to assess ability at the latent construct level and prevents the administration of adaptive tests. Here we propose to employ a General Condorcet Model for Recognition (GCMR) in order to estimate ability, response bias and item difficulty in dichotomous recognition memory tasks. Using a Bayesian modeling framework and MCMC inference, we perform 3 separate validation studies comparing GCMR to the Rasch model from IRT and the 2-High-Threshold (2HT) recognition model. First, two simulations demonstrate that recovery of GCMR ability estimates with varying sparsity and test difficulty is more robust and that estimates improve from the two other models under common test scenarios. Then, using a real dataset, face validity is confirmed by replicating previous findings of general and domain-specific age effects (Güsten et al. in Cortex 137:138-148, https://doi.org/10.1016/j.cortex.2020.12.017 , 2021). Using cross-validation we show better out-of-sample prediction for the GCMR as compared to Rasch and 2HT model. In addition, we present a hierarchical extension of the model that is able to estimate age- and domain-specific effects directly, without recurring to a two-stage procedure. Finally, an adaptive test using the GCMR is simulated, showing that the test length necessary to obtain reliable ability estimates can be significantly reduced compared to a non-adaptive procedure. The GCMR allows to model trial-by-trial performance and to increase the efficiency and reliability of recognition memory assessments.

Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory

OBJECTIVE

This study aimed to identify the central symptoms of late-life depression using network analysis and the item response theory.

METHODS

A total of 3,472 older adults were enrolled and the Geriatric Depression Scale-15 (GDS-15) was used to evaluate the depressive symptoms. To identify the central symptoms and the network structures among the individual symptoms, the analyses of symptom network structures and item response theory were performed.

RESULTS

Among items on the GDS-15, "Happy," "Hopeless," "Empty," "Bored," "Worthless," and "Good spirits" showed significantly higher strength centrality than the other symptoms. Among all the edges, the edge between "Empty" and "Bored" was the strongest; however, these two symptoms were not connected strongly to other symptoms. In the analysis of item response theory, "Empty," "Bored," "Hopeless," "Worthless," "Happy," "Helpless," and "Satisfied" presented a very high value on the discrimination parameter.

CONCLUSION

Our study identified the central symptoms and the network structures among symptoms listed on the GDS-15. Most of central symptoms identified by network analysis and item response theory coincided. Our results suggest that these central symptoms need to be prioritized as highly comorbid symptoms and can contribute to the development of a brief screening tool for the elderly.

Comparison of Psychometric Characteristics for Five Versions of the Interpersonal Needs Questionnaire in Teenagers Sample

Interpersonal Needs Questionnaire (INQ) is a self-report measure of perceived burdensomeness and thwarted belongingness with five versions in recent studies. There are five versions of INQ. But results from studies using different versions are quite different. Current suicide behavior among teenagers has attracted much attention. But which version is more suitable for teenage samples is still uncertain. It is important to compare the potential differences in different versions of INQ to identify the most psychometrically available version to predict teenagers' acquired capability for suicide and provide them with timely help to reduce teenagers' suicide rates. This study compared the construct validity, internal consistency, validity, and average test information of each version in the sample of teenagers. Results showed the 10-item version provided the most average test information in both thwarted belongingness subscale and perceived burdensomeness subscale, and the INQ-10 is more suitable for teenage samples.

Editorial: Antidepressants to the Rescue in Severe Mood Dysregulation and Disruptive Mood Dysregulation Disorder?

Children with irritability and outbursts pose a serous therapeutic problem. Many of them have attention-deficit/hyperactivity disorder (ADHD) with emotion dysregulation, which is sometimes captured in the diagnosis of disruptive mood dysregulation disorder (DMDD). Some follow-up data find a connection between DMDD and depression and anxiety in adults. This prompted Towbin and colleagues¹ to launch a trial where children (ages 7-17) with DMDD were treated first with methylphenidate (MPH) and then randomized to citalopram (CTP) or placebo over 8 weeks. The response to CTP was complicated by lack of specific measures of both irritable mood and severity of outbursts. Future studies should include standardized and normed parent and teacher measures of both externalizing and internalizing behavior as well as irritability specific measures rating how the child feels. Studies also need better measures of the actual outbursts-not just their frequency but how agitated or aggressive the child gets during an outburst (ie, what the child does) and how long the outbursts last. Measuring DMDD on inpatient units is especially complicated because of the therapeutic nature of the setting. Further work is needed with much larger samples to identify who improves with the treatment, exactly which domains of psychopathology improve and by how much. Finally, It is also critical to conduct longer-term trials to determine the stability of the response beyond 8 weeks.

Sleep disturbance and physiological regulation among young adults with prior depression

Sleep disturbance and respiratory sinus arrhythmia (RSA) are well-known to be independently associated with depression. Yet, it remains unclear how sleep disturbance and impaired physiological regulation (indexed by RSA) may synergistically contribute to depression risk. The current study examined the relationship between sleep disturbance (duration, insomnia) on daily depressive symptoms, and whether RSA moderated this relationship in a sample of young adults with a history of depression. To examine hypotheses, participants (N = 102, ages 18-22) completed a laboratory socio-evaluative stressor task to assess RSA at rest and reactivity. Participants then completed daily measures of sleep duration, insomnia symptoms, and depressive symptoms for two weeks. For main effects, multilevel modeling indicated that shorter overall sleep duration (but not insomnia) predicted higher depressive symptoms, and individual fluctuations in insomnia symptoms (but not sleep duration) predicted higher levels of next-day depressive symptoms. Lower resting RSA, but not reactivity, potentiated these relationships. Individual differences in sleep disturbance (duration and insomnia) predicted prospective levels of depressive symptoms among individuals with lower physiological regulation (indexed by lower RSA), who were particularly vulnerable to the daily effects of sleep disturbance on depressed mood. These results suggest the need to examine both daily sleep disturbance and physiological regulation to understand who may be at greatest risk for depression.

Psychometric Properties and Factor Structure of the Center for Epidemiologic Studies Depression Scale in a National Sample of Arab Adolescents

Having valid, reliable, and culturally adapted tools to screen for adolescent depression is a crucial concern for mental health care professionals who promote preventive care. To this aim, this study tested the psychometric properties and factor structure of the Center for Epidemiologic Studies Depression (CES-D) Scale among Arab adolescents. A nationally representative sample of 3,292 Jordanian adolescents aged 13-17 completed the CES-D 20-item scale. A principal axis factoring with a varimax rotation was used to identify the factor structure of the scale on a half of the sample (n₁ = 1,655), followed by a confirmatory factor analysis to assess the fitness of the factor structure to the other half of the sample (n₂ = 1,637) on a variety of model-fit indices. Findings did not support the original four-factor structure. The results indicated that two factors provide a reasonably better fit: Factor 1 combined items on depressed affect, somatic complaints and interpersonal problems, and Factor 2 consisted of the remaining four positive affect items. The modified model showed high internal reliability and excellent construct validity. The results revealed that depression construct among Arab adolescents, as measured by the CES-D, differs from that in other ethnic groups. Nurses and other health professionals need to closely examine the different presentation of depressive symptoms across racial and ethnic groups to avoid diagnostic errors, inappropriate management, and poor compliance.

Comparison of the performance of the Beck Depression Inventory-II and the Center for Epidemiologic Studies-Depression Scale in Arab adolescents

BACKGROUND AND PURPOSE

Few instruments have been established as valid and reliable to screen for depression among Arab adolescents. The purpose of this study was to examine and compare the performance of two of the most widely used depression screening instruments, the Beck Depression Inventory-II (BDI-II) and the Center for Epidemiologic Studies-Depression scale (CES-D), with Arab adolescents.

METHODS

A nationwide school survey was conducted in Jordan. A total of 3,292 adolescents (1,766 females; 54%) aged 13-17 years completed and returned the survey that included the BDI-II, CES-D, sociodemographics, and health information. Comparisons were made between the BDI-II and CES-D on internal consistency and the reported prevalence of depression in the whole population and subgroups. Multivariate ordinary least squares and logistic regressions were used to assess factors associated with adolescent depression. Agreement regarding recommended cutoffs was also examined using Cohen's k.

RESULTS

Depression prevalence was significantly higher with the CES-D compared to the BDI-II among the same set of sample subgroups. Depression scores from both instruments showed different statistical associations with established risk factors for adolescent depression. The two instruments showed a moderate agreement (kappa = 0.55), indicating that the instruments do not completely identify the same cases. Different cutoff scores of the CES-D seemed to perform better for different age groups.

CONCLUSIONS

Our results varied systematically as a function of the measure used to identify depression prevalence. Caution in the interpretation of associations of depression scores with risk factors is required, as associations may be measurement artifacts. However, given the limited availability of mental health care resources in Arab countries, screening instruments like the BDI-II and CES-D may be a critical first step in preliminarily identifying cases, albeit neither can replace the clinical interview. We cautiously recommend using the CES-D with the risk of over diagnosing, but with the benefit of finding issues which are not typically addressed when there is a lack of mental health services. With the growing social and political unrest in Arab countries, increasing depression rates over time is expected to be a major public health issue. Methodical consideration for how to invest in community-based screening is warranted.

Advances in applications of item response theory to clinical assessment

Item response theory (IRT) is moving to the forefront of methodologies used to develop, evaluate, and score clinical measures. Funding agencies and test developers are routinely supporting IRT work, and the theory has become closely tied to technological advances within the field. As a result, familiarity with IRT has grown increasingly relevant to mental health research and practice. But to what end? This article reviews advances in applications of IRT to clinical measurement in an effort to identify tangible improvements that can be attributed to the methodology. Although IRT shares similarities with classical test theory and factor analysis, the approach has certain practical benefits, but also limitations, when applied to measurement challenges. Major opportunities include the use of computerized adaptive tests to prevent conditional measurement error, multidimensional models to prevent misinterpretation of scores, and analyses of differential item functioning to prevent bias. Whereas these methods and technologies were once only discussed as future possibilities, they are now accessible because of recent support of IRT-focused clinical research. Despite this, much work still remains in widely disseminating methods and technologies from IRT into mental health research and practice. Clinicians have been reluctant to fully embrace the approach, especially in terms or prospective test development and adaptive item administration. Widespread use of IRT technologies will require continued cooperation among psychometricians, clinicians, and other stakeholders. There are also many opportunities to expand the methodology, especially with respect to integrating modern measurement theory with models from personality and cognitive psychology as well as neuroscience. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Psychometric Properties of the SAS, BAI, and S-AI in Chinese University Students

Three widely-used self-report anxiety scales, including the Self-Rating Anxiety Scale (SAS), the Beck Anxiety Inventory (BAI), and the State Anxiety Inventory (S-AI), were used to simultaneously compare the psychometric properties via an item response theory (IRT) model with Chinese university students as the sample. Although these scales were probably to measure the same underlying construct, namely, anxiety, their psychometric properties were different. Results showed that the BAI's measurement error was fewer than that of the other scales, with their anxiety severity ranging approximately from the 0.8 standard deviations below the mean to 3 standard deviations above the mean, while the S-AI's measurement error was fewer than that of the other degrees of anxiety. The S-AI provided more information than the other scales when the student's scale was less than approximately 0.8 standard deviations below the mean of anxiety severity. In general, the BAI showed better, for it provided more information than the other scales at the broadest range of anxiety severity. The SAS provided less information than the other scales at all anxiety severity range. In conclusion, BAI shows good psychometric quality. Finally, the three instruments were combined on a common scale by using IRT model and a conversion table was provided so as to achieve the transformation of each scale score.

Effects of Skip-Logic on the Validity of Dimensional Clinical Scores: A Simulation Study

Structured assessment of clinical phenotypes is a burdensome procedure, largely due to the time required. One method to alleviate this is "skip-logic," which allows for portions of an interview to be skipped if initial ("screen") items are not endorsed. The bias that skip-logic introduces to resultant continuous scores is unknown and can be explored using Item Response Theory. Interview response data were simulated while varying 5 characteristics of the measures: number of screen items, difficulty (clinical severity) of the screens, difficulty of non-screen items, shape of the trait distribution, and range of discrimination parameters. The number of simulations and examinees were held constant at 2,000 and 10,000, respectively. A criterion variable correlating 0.80 with the measured trait was also simulated, and the outcome of interest was the difference between the correlations of the criterion variable and the two estimated scores (with and without skip-logic). Effects of the simulation conditions on this outcome were explored using ANOVA. All main effects and interactions were significant. The largest 2-way interaction was between number of screen items and average item discrimination, such that the number of screen items had a large effect on bias only when discrimination parameters were low. This, among other interactions explored here, suggests that skip-logic can bias results using continuous scores; however, the effects of this bias are usually inconsequential. Skip-logic in clinical assessments can introduce bias in continuous sum scores, but this bias can usually be ignored.

Psychometric Properties and Structures of the IAT, GPIUS and GAS Scales: A Bifactor Approach

This study applied a bifactor approach to investigate the structures and simultaneously compare the psychometric properties of three popular self-report internet addiction (IA) instruments. A bifactor confirmatory factor analysis was used to address the structures of the three scales, while the bifactor multidimensional item response model was employed to compare the psychometric properties of the three scales. Results of bifactor confirmatory factor analysis (CFA) showed that the bifactor structures were suitable for the three scales. These corresponding bifactor structures were used in the subsequent bifactor multidimensional item response theory (MIRT) analysis. Results of the bifactor MIRT showed that: three instruments of IA performed well as a whole; the Generalised Problematic Internet Use Scale (GPIUS) and Internet Addiction Test (IAT) provided more test information and had less standard error of measurement, which ranged from −3 to −1 standard deviations of theta or IA severity; the Game Addiction Scale (GAS) performed better than the other two scales in that it can provide more test information in the large area of IA severity (from −1 to +3 SDs). These suggest that the GPIUS and IAT may be the best choice for epidemiological IA studies and for measuring those with lower IA severity. Meanwhile, the GAS may be a good choice when we recruit those with various levels of IA severity.

Exploring the association between whole blood Omega-3 Index, DHA, EPA, DHA, AA and n-6 DPA, and depression and self-esteem in adolescents of lower general secondary education

Purpose

Depression is common in adolescents and long-chain polyunsaturated fatty acids (LCPUFA) are suggested to be associated with depression. However, research in adolescents is limited. Furthermore, self-esteem has never been studied in relation to LCPUFA. The objective here was to determine associations of depression and self-esteem with eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), Omega-3 Index (O3I), n-6 docosapentaenoic acid (n-6 DPA, also called Osbond acid, ObA), n-3 docosapentaenoic acid (DPA), and arachidonic acid (AA) concentrations in blood of adolescents attending lower general secondary education (LGSE).

Methods

Baseline cross-sectional data from a krill oil supplementation trial in adolescents attending LGSE with an O3I ≤ 5% were analysed using regression models built with the BayesFactor package in R. Fatty acids and O3I were determined in blood. Participants filled out the Centre for Epidemiologic Studies Depression (CES-D) scale and the Rosenberg Self-Esteem scale (RSE).

Results

Scores indicative of depression (CES-D ≥ 16) were found in 29.4% of the respondents. Of all fatty acids, we found extreme evidence [Bayes factor (BF) > 100] for a weak negative association between ObA and depression score [− 0.16; 95% credible interval (CI) − 0.28 to − 0.04; BF₁₀ = 245], and substantial evidence for a weak positive association between ObA and self-esteem score (0.09; 95% CI, − 0.03 to 0.20; BF₁₀ = 4). When all fatty acids were put in one model as predictors of CES-D or RSE, all of the 95% CI contained 0, i.e., no significant association.

Conclusion

No evidence was found for associations of DHA, EPA and O3I with depression or self-esteem scores in LGSE adolescents with O3I ≤ 5%. The associations of higher ObA status with lower depression and higher self-esteem scores warrant more research.

Person misfit on the Inventory of Depressive Symptomatology: Low quality self-report or true atypical symptom profile?

Person misfit on a self-report measure refers to a response pattern that is unlikely given a theoretical measurement model. Person misfit may reflect low quality self-report data, for example due to random responding or misunderstanding of items. However, recent research in the context of psychopathology suggests that person misfit may reflect atypical symptom profiles that have implications for diagnosis or treatment. We followed-up on Wanders et al. (Journal of Affective Disorders, 180, 36-43, 2015) who investigated person misfit on the Inventory of Depressive Symptomatology (IDS) in the Netherlands Study of Depression and Anxiety (n = 2,981). Our goal was to investigate the extent to which misfit on the IDS reflects low-quality self-report patterns and the extent to which it reflects true atypical symptom profiles. Regression analysis showed that person misfit related more strongly to self-report quality indicators than to variables quantifying theoretically-derived atypical symptom profiles. A data-driven atypical symptom profile explained most variance in person misfit, suggesting that person misfit on the IDS mainly reflects a sample- and questionnaire-specific atypical symptom profile. We concluded that person-fit statistics are useful for detecting IDS scores that may not be valid. Further research is necessary to support the interpretation of person misfit as reflecting a meaningful atypical symptom combination.

Psychometric properties of the Children's Response Styles Questionnaire in a Hong Kong Chinese community sample

BACKGROUND

The Children's Response Styles Questionnaire (CRSQ) is a widely-adopted inventory that assesses response styles in youths. It is useful in examining how coping styles (particularly rumination) may relate to depressive vulnerability in youths. Despite its utility, little is known about its applicability in non-Western cultures and CRSQ has not been evaluated using current psychometric methods including item response theory (IRT). The present study assessed the properties using IRT methods in a Chinese youth sample.

METHODS

Students in Grades 4-6 were recruited from seven public primary schools in Hong Kong, and a total of 581 children (280 boys and 301 girls) between 8 and 14 years of age participated in the study. A Chinese version of CRSQ was administered to them in groups at school after receiving written parental consent as well as students' assent.

RESULTS

Confirmatory factor analysis revealed a two-factor structure that was comparable to that identified in Western samples, namely, the rumination and distraction/problem-solving subscales. IRT analysis suggested that items varied in levels of item discrimination and item severity, and in precision/usefulness for assessing the underlying latent trait levels. Test information analysis indicated that rumination subscale was more useful than the distraction and problem-solving subscale in assessing the latent trait over a broader range of levels. For gender-based Differential Item Functioning (DIF) analysis, item 1 "When I am sad, I think about how alone I feel" was found to exhibit higher discriminating power for girls than boys.

CONCLUSIONS

The study presents the first attempt to examine CRSQ item properties using IRT analysis and supports its validity beyond the Western cultures. The factor structure of CRSQ was found to be comparable to the West in our Chinese sample. Differential Item Functioning (DIF) evaluation suggested all but one item in the rumination subscale of the CRSQ apply equally well to both boys and girls.

Physiological Markers of Interpersonal Stress Generation in Depression

Abnormalities in parasympathetic nervous system activity have been linked to depression, but less is known about processes underlying this relationship. The present study evaluated resting and stress-reactive respiratory sinus arrhythmia (RSA) to a laboratory stressor as predictors of daily interpersonal stress generation and depressive symptoms, whether stress generation mediated the relationship between RSA and depressive symptoms, and potential sex differences. A sample of formerly depressed 102 emerging adults (18-22 years; 78% female) completed a laboratory stressor and daily assessments of stressors and depressive symptoms over two weeks. Multilevel modeling revealed that: 1) lower resting RSA predicted daily depressive symptoms; 2) less RSA reactivity predicted interpersonal stress generation, 3) interpersonal dependent stressors mediated the relationship between RSA reactivity and daily depressive symptoms, and 4) sex differences occurred in the resting RSA-depression relationship. These findings highlight the importance of resting RSA and RSA reactivity in the examination of depression and interpersonal processes.

Adolescents from upper middle class communities: Substance misuse and addiction across early adulthood

In this prospective study of upper middle class youth, we document frequency of alcohol and drug use, as well as diagnoses of abuse and dependence, during early adulthood. Two cohorts were assessed as high school seniors and then annually across 4 college years (New England Study of Suburban Youth younger cohort [NESSY-Y]), and across ages 23-27 (NESSY older cohort [NESSY-O]; ns = 152 and 183 at final assessments, respectively). Across gender and annual assessments, results showed substantial elevations, relative to norms, for frequency of drunkenness and using marijuana, stimulants, and cocaine. Of more concern were psychiatric diagnoses of alcohol/drug dependence: among women and men, respectively, lifetime rates ranged between 19%-24% and 23%-40% among NESSY-Os at age 26; and 11%-16% and 19%-27% among NESSY-Ys at 22. Relative to norms, these rates among NESSY-O women and men were three and two times as high, respectively, and among NESSY-Y, close to one among women but twice as high among men. Findings also showed the protective power of parents' containment (anticipated stringency of repercussions for substance use) at age 18; this was inversely associated with frequency of drunkenness and marijuana and stimulant use in adulthood. Results emphasize the need to take seriously the elevated rates of substance documented among adolescents in affluent American school communities.

Comparing five depression measures in depressed Chinese patients using item response theory: an examination of item properties, measurement precision and score comparability

Background

Item response theory (IRT) has been increasingly applied to patient-reported outcome (PRO) measures. The purpose of this study is to apply IRT to examine item properties (discrimination and severity of depressive symptoms), measurement precision and score comparability across five depression measures, which is the first study of its kind in the Chinese context.

Methods

A clinical sample of 207 Hong Kong Chinese outpatients was recruited. Data analyses were performed including classical item analysis, IRT concurrent calibration and IRT true score equating. The IRT assumptions of unidimensionality and local independence were tested respectively using confirmatory factor analysis and chi-square statistics. The IRT linking assumptions of construct similarity, equity and subgroup invariance were also tested. The graded response model was applied to concurrently calibrate all five depression measures in a single IRT run, resulting in the item parameter estimates of these measures being placed onto a single common metric. IRT true score equating was implemented to perform the outcome score linking and construct score concordances so as to link scores from one measure to corresponding scores on another measure for direct comparability.

Results

Findings suggested that (a) symptoms on depressed mood, suicidality and feeling of worthlessness served as the strongest discriminating indicators, and symptoms concerning suicidality, changes in appetite, depressed mood, feeling of worthlessness and psychomotor agitation or retardation reflected high levels of severity in the clinical sample. (b) The five depression measures contributed to various degrees of measurement precision at varied levels of depression. (c) After outcome score linking was performed across the five measures, the cut-off scores led to either consistent or discrepant diagnoses for depression.

Conclusions

The study provides additional evidence regarding the psychometric properties and clinical utility of the five depression measures, offers methodological contributions to the appropriate use of IRT in PRO measures, and helps elucidate cultural variation in depressive symptomatology. The approach of concurrently calibrating and linking multiple PRO measures can be applied to the assessment of PROs other than the depression context.

Mood Instability and Irritability as Core Symptoms of Major Depression: An Exploration Using Rasch Analysis

BACKGROUND

Mood instability (MI) and irritability are related to depression but are not considered core symptoms. Instruments typically code clusters of symptoms that are used to define syndromic depression, but the place of MI and irritability has been under-investigated. Whether they are core symptoms can be examined using Rasch analysis.

METHOD

We used the UK Psychiatric Morbidity Survey 2000 data (n = 8,338) to determine whether the nine ICD/DSM symptoms, plus MI and irritability, constitute a valid depression scale. Rasch analysis was used, a method concerned with ensuring that items constitute a robust scale and tests whether the count of symptoms reflects an underlying interval-level measure. Two random samples of 500 were drawn, serving as calibration and validation samples. As part of the analysis, we examined whether the candidate symptoms were unidimensional, followed a Guttman pattern, were locally independent, invariant with respect to age and sex, and reliably distinguished different levels of depression severity.

RESULTS

A subset of five symptoms (sad, no interest, sleep, cognition, suicidal ideas) together with mood instability and irritability satisfactorily fits the Rasch model. However, these seven symptoms do not separate clinically depressed persons from the rest of the population with adequate reliability (Cronbach α = 0.58; Person Separation Index = 0.35), but could serve as a basis for scale development. Likewise, the original nine DSM depression symptoms failed to achieve satisfactory reliability (Cronbach α = 0.67; Person Separation Index = 0.51).

LIMITATIONS

The time frame over which symptoms were experienced varied, and some required recall over the last year. Symptoms other than those examined here might also be core depression symptoms.

CONCLUSION

Mood instability and irritability are candidate core symptoms of the depressive syndrome and should be part of its clinical assessment.

Psychometric Limitations of the Center for Epidemiologic Studies-Depression Scale for Assessing Depressive Symptoms among Adults with HIV/AIDS: A Rasch Analysis

The Center for Epidemiological Studies-Depression (CES-D) scale is a widely used measure of depressive symptoms, but its psychometric properties have not been adequately evaluated among adults with HIV/AIDS. This study used an item response theory approach (Rasch analysis) to evaluate the CES-D's validity and reliability in relation to key demographic and clinical variables in adults with HIV/AIDS. A convenience sample of 347 adults with HIV/AIDS (231 males, 93 females, and 23 transgenders; age range 22-77 years) completed the CES-D. A Rasch model application was used to analyze the CES-D's rating scale functioning, internal scale validity, person-response validity, person-separation validity, internal consistency, differential item functioning (DIF), and differential test functioning. CES-D scores were generally high and associated with several demographic and clinical variables. The CES-D distinguished 3 distinct levels of depression and had acceptable internal consistency but lacked unidimensionality, five items demonstrated poor fit to the model, 15% of the respondents demonstrated poor fit, and eight items demonstrated DIF related to gender, race, or AIDS diagnosis. Removal of misfitting items resulted in minimal improvement in the CES-D's substantive and structural validity. CES-D scores should be interpreted with caution in adults with HIV/AIDS, particularly when comparing scores across gender and racial groups.

Evaluation of the Psychometric Properties of the Asian Adolescent Depression Scale and Construction of a Short Form: An Item Response Theory Analysis

The present study applied item response theory to examine the psychometric properties of the Asian Adolescent Depression Scale and to construct a short form among 1,084 teenagers recruited from secondary schools in Hong Kong. Findings suggested that some items of the full form reflected higher levels of severity and were more discriminating than others, and the Asian Adolescent Depression Scale was useful in measuring a broad range of depressive severity in community youths. Differential item functioning emerged in several items where females reported higher depressive severity than males. In the short form construction, preliminary validation suggested that, relative to the 20-item full form, our derived short form offered significantly greater diagnostic performance and stronger discriminatory ability in differentiating depressed and nondepressed groups, and simultaneously maintained adequate measurement precision with a reduced response burden in assessing depression in the Asian adolescents. Cultural variance in depressive symptomatology and clinical implications are discussed.

A distribution model of the responses to each depressive symptom item in a general population: a cross-sectional study

OBJECTIVE

Some researchers have reported that distribution of total depressive symptom scores in the general population may follow an exponential pattern except at the lowest end of the scores. To understand the mechanism responsible for this phenomenon, we investigated the mathematical patterns of the individual distributions for each item of a depressive symptom scale.

METHODS

We analysed data from 32,022 participants in the general population who participated in the Active Survey of Health and Welfare, Japan. Depressive symptoms were assessed using the Japanese version of Center for Epidemiologic Studies Depression Scale (CES-D). CES-D has 20 items, each of which is scored in 4 grades: 'Rarely', 'Some', 'Much' and 'Most of the time'.

RESULTS

The individual distributions of 16 negative items belonging to the depressive mood, somatic symptoms and retarded activities, and interpersonal relations categories, followed a common mathematical pattern, which displayed different distributions with a boundary at 'Some'. The distributions for the 16 items between 'Rarely' and 'Some' appeared to cross at a single point. On the other hand, the distributions of the 16 items between 'Some' and 'Most' followed a linear pattern when plotted using a log-normal scale. The remaining 4 items in the positive affect subscale showed non-specific patterns.

CONCLUSIONS

The common mathematical pattern of the 16 negative item distributions may contribute to the exponential pattern of the distribution of total depressive symptom scores except at the lowest end of the scores.

Preschool irritability predicts child psychopathology, functional impairment, and service use at age nine

BACKGROUND

Little is known about the predictive validity and clinical significance of chronic irritability during early childhood. This prospective, longitudinal study examined associations of preschool chronic irritability with psychiatric disorders, functional impairment, and service use at age nine in a large community sample.

METHODS

Four hundred and forty-six children were assessed at age three and again at age nine. Child psychopathology and functional impairment were assessed at age three with the Preschool Age Psychiatric Assessment (PAPA) with parents and at age nine with the Kiddie-Schedule of Affective Disorders and Schizophrenia (K-SADS) with parents and children. Items from the PAPA were used to create a dimensional measure of chronic irritability at age three. At age nine, mothers, fathers, and youth completed the Child Depression Inventory (CDI) and the Screen for Anxiety Related Disorders (SCARED).

RESULTS

Chronic irritability at age three predicted any current and lifetime anxiety disorders at age nine, current and lifetime generalized anxiety disorder, and current separation anxiety, after controlling for baseline anxiety disorders. In addition, preschool irritability predicted increases in anxiety and disruptive behavior disorder symptoms on the K-SADS, and maternal and paternal reports of depressive and anxiety symptoms on the CDI and SCARED. Lastly, preschool irritability predicted greater functional impairment and outpatient treatment use, even after controlling for all psychiatric disorders at baseline.

CONCLUSIONS

Findings underscore the central role of irritability in developmental psychopathology and support the importance of early detection and interventions targeting preschool irritability.

Cut-off values for the applied version of the Beck Depression Inventory in a general working population

BACKGROUND

The Beck Depression Inventory (BDI) for the assessment of depressive symptoms is well established in clinical settings. An applied version (BDI-V) was previously developed in German for use within epidemiologic studies. The current study analyses the association between this applied version of the BDI and different measures of functioning. The aim is to determine BDI-V cut-off values when used in a population of employees.

METHODS

The study included 6339 employees of the first wave of a German cohort study on work, age, health and work participation. Depressive symptoms were assessed by an applied version of the BDI-V. Data on functioning were obtained from personal interviews. The determination of cut-off values is achieved with the min-max principle for classification applied to receiver operating characteristic (ROC) curves.

RESULTS

The min-max principle points to a BDI-V cut-off between 20 and 24 for male and between 23 and 28 for female respondents. The corresponding sensitivities range between 0.64 and 0.75 for males and between 0.59 and 0.74 for females. Specificities range between 0.64 and 0.75 for males and between 0.60 and 0.74 for females. Female respondents have higher BDI-V cut-offs for all criteria.

CONCLUSIONS

The range of values is lower than a recommendation in a former study. In addition to this, the values differ for gender. The current analyses focus on an easier-to-use version of the BDI formerly applied for epidemiologic studies. The determination of cut-off values is based on criteria which are indicators for impairment in (work) functioning in a population of employees. Therefore, grouping of individuals according to the reported cut-off values is guided by the relevance of these scores for occupational functioning.

First evidence of a prospective relation between avoidance of internal states and borderline personality disorder features in adolescents

At least two leading developmental models of borderline personality disorder (BPD) emphasize the role of accurate reflection and understanding of internal states as significant to the development of BPD features (Fonagy, Int J Psycho-Anal 72:639-656, 1991; Linehan, Cognitive-behavioral treatment of borderline personality disorder, 1993). The current study used the construct of experiential avoidance (EA) to operationalize avoidance of internal states and sought to examine (1) the concurrent relations between EA and borderline features in a large and diverse community sample; and (2) the prospective relation between EA and borderline features over a 1-year follow-up, controlling for baseline levels of borderline features. N = 881 adolescents recruited from public schools in a large metropolitan area participated in baseline assessments and N = 730 completed follow-up assessments. Two main findings were reported. First, EA was associated with borderline features, depressive, and anxiety symptoms at the bivariate level, but when all variables were considered together, depression and anxiety no longer remained significantly associated with borderline features, suggesting that the relations among these symptom clusters may be accounted for by EA as a cross-cutting underlying psychological process. Second, EA predicted levels of borderline symptoms at 1-year follow-up, controlling for baseline levels of borderline symptoms, and symptoms of anxiety and depression. Results are interpreted against the background of developmental theories of borderline personality disorder.

Maternal Depression, Parenting, and Youth Depressive Symptoms: Mediation and Moderation in a Short-Term Longitudinal Study

Although multiple studies find that offspring of depressed mothers are at risk for depressive disorders, there is uncertainty about the specific mechanisms that are at work--particularly with respect to modifiable factors that might be targeted for early intervention. The present work examines that parenting behaviors may operate as mediators, moderators, or independent influences on the development of youth depressive symptoms. One hundred one mothers and their early adolescent children participated in positive and negative interaction tasks. Maternal and youth self-reports of youth depressive symptoms were collected at baseline, 9-month, and 18-month assessments. Maternal history of depression was significantly associated with maternal-reported, but not youth self-reported, depressive symptomatology. Maternal positive and negative interaction behaviors in positive contexts were associated with higher youth self-reported depressive symptoms. Maternal positive interaction behaviors in positive contexts and maternal negative interactive behaviors in conflict contexts were associated with higher youth self-reported depressive symptoms. We found no evidence for maternal interaction behaviors serving as a mediator and little evidence of maternal interaction behaviors serving as a moderator of the relationship between maternal and offspring depression. Low maternal positive engagement tended to be more consistently associated with maternal- and self-reported youth depressive symptoms. The present findings suggest that characteristics of mother-child interactions that are associated with youth depressive symptomatology are pertinent to youth with and without a mother with a history of depression.

The efficacy of antidepressants on overall well-being and self-reported depression symptom severity in youth: a meta-analysis

BACKGROUND

Recent meta-analyses of the efficacy of second-generation antidepressants for youth have concluded that such drugs possess a statistically significant advantage over placebo in terms of clinician-rated depressive symptoms. However, no meta-analysis has included measures of quality of life, global mental health, self-esteem, or autonomy. Further, prior meta-analyses have not included self-reports of depressive symptoms.

METHODS

Studies were selected through searching Medline, PsycINFO, and the Cochrane Central Register for Controlled Trials databases as well as GlaxoSmithKline's online trial registry. We included self-reports of depressive symptoms and pooled measures of quality of life, global mental health, self-esteem, and autonomous functioning as a proxy for overall well-being.

RESULTS

We found a nonsignificant difference between second-generation antidepressants and placebo in terms of self-reported depressive symptoms (k = 6 trials, g = 0.06, p = 0.36). Further, pooled across measures of quality of life, global mental health, self-esteem, and autonomy, antidepressants yielded no significant advantage over placebo (k = 3 trials, g = 0.11, p = 0.13).

DISCUSSION

Though limited by a small number of trials, our analyses suggest that antidepressants offer little to no benefit in improving overall well-being among depressed children and adolescents.

An Overview and Practical Guide to IRT Measurement Equivalence Analysis

This article provides an overview and guide to implementing item response theory (IRT) measurement equivalence (ME) or differential item functioning (DIF) analysis. We (a) present the need for establishing IRT ME/DIF analysis, (b) discuss the similarities and differences between factor-analytic ME/DIF analysis, (c) review commonly used IRT ME/DIF indices and procedures, (d) provide three illustrations to two recommended IRT procedures, and (e) furnish recommendations for conducting IRT ME/DIF. We conclude by discussing future directions for IRT ME/DIF research.

Juvenile justice girls' depressive symptoms and suicidal ideation 9 years after Multidimensional Treatment Foster Care

OBJECTIVE

Multidimensional Treatment Foster Care (MTFC) has been found to reduce delinquency among girls in juvenile justice through 2-year follow-up. Given that such girls are at elevated risk for suicide and depression into adulthood, we tested MTFC effects on long-term trajectories of suicidal ideation and depressive symptoms.

METHOD

Girls (N = 166; mean [SD] age = 15.3 [1.2] years; 68% White) with a recent criminal referral who were mandated to out-of-home care were enrolled in 2 sequential cohorts. Girls were randomized to receive MTFC (n = 81) or group care (GC) treatment as usual (TAU; n = 85); the second MTFC cohort also received modules targeting substance use and risky sexual behavior. Depressive symptoms and suicidal ideation were assessed repeatedly through early adulthood (mean [SD] follow-up = 8.8 [2.9] years). Suicide attempt history was assessed in early adulthood.

RESULTS

Girls assigned to MTFC showed significantly greater decreases in depressive symptoms across the long-term follow-up than GC girls (π = -.86, p < .05). Decreases in suicidal ideation rates were slightly stronger in MTFC than in GC as indicated by a marginal main effect (odds ratio [OR] = .92, p < .10) and a significant interaction that favored MTFC in the second cohort relative to the first (OR = .88, p < .01). There were no significant MTFC effects on suicide attempt.

CONCLUSIONS

MTFC decreased depressive symptoms and suicidal thinking beyond the decreases attributable to time and TAU. Thus, MTFC has further impact on girls' lives than originally anticipated.

Comorbidity of anxiety and depression in children and adolescents: 20 years after

Brady and Kendall (1992) concluded that although anxiety and depression in youths are meaningfully linked, there are important distinctions, and additional research is needed. Since then, studies of anxiety-depression comorbidity in youths have increased exponentially. Following a discussion of comorbidity, we review existing conceptual models and propose a multiple pathways model to anxiety-depression comorbidity. Pathway 1 describes youths with a diathesis for anxiety, with subsequent comorbid depression resulting from anxiety-related impairment. Pathway 2 refers to youths with a shared diathesis for anxiety and depression, who may experience both disorders simultaneously. Pathway 3 describes youths with a diathesis for depression, with subsequent comorbid anxiety resulting from depression-related impairment. Additionally, shared and stratified risk factors contribute to the development of the comorbid disorder, either by interacting with disorder-related impairment or by predicting the simultaneous development of the disorders. Our review addresses descriptive and developmental factors, gender differences, suicidality, assessments, and treatment-outcome research as they relate to comorbid anxiety and depression and to our proposed pathways. Research since 1992 indicates that comorbidity varies depending on the specific anxiety disorder, with Pathway 1 describing youths with either social phobia or separation anxiety disorder and subsequent depression, Pathway 2 applying to youths with coprimary generalized anxiety disorder and depression, and Pathway 3 including depressed youths with subsequent social phobia. The need to test the proposed multiple pathways model and to examine (a) developmental change and (b) specific anxiety disorders is highlighted.

Increased energy/activity, not mood changes, is the core feature of mania

BACKGROUND

In the Diagnostic and Statistical Manual of Mental Disorders, 5th edition, the occurrence of increased energy/activity and elation of mood or irritability became necessary symptoms for the diagnosis of an episode of mania or hypomania.

OBJECTIVE

To evaluate whether increases in energy/activity or mood changes represent the core feature of the manic syndrome.

METHODS

The symptomatology of 117 hospitalized patients with bipolar mania was evaluated using the Schedule for Affective Disorders and Schizophrenia-Changed version (SADS-C). Based on six items of the SADS-S related to mania, a Confirmatory Factor Analysis (CFA) was performed. An Item Response Theory (IRT) analysis was used to identify how much each symptom informs about the different levels of severity of the syndrome.

RESULTS

According to the CFA, the item "increased energy" was the symptom with the highest factorial loadings, which was confirmed by the IRT analysis. Thus, increased energy was the alteration most correlated with the total severity of manic symptoms. Additionally, the analysis of the Item Information Function revealed that increased energy was correlated with the larger amplitude of severity levels compared with the other symptoms of mania.

LIMITATIONS

Only six manic symptoms were considered. The sample might not be representative because the patients were evaluated while presenting peak symptom severity.

CONCLUSIONS

Increased energy/activity is a more important symptom for a diagnosis of mania than mood changes and represents the core feature of this syndrome.

Invited commentary: How can we reconcile the findings of Keyes et al.'s study with the experience of our patients in clinical practice?

Although the accompanying study by Keyes et al. (Am J Epidemiol. 2013;178(9):1378-1388) shows us that women currently using hormonal contraception (HC) have better scores on the Center for Epidemiologic Studies Depression Scale and report fewer suicide attempts, it does not show us that HC protects women from mood disorders or that HC is free of the mood-related side effects which cause high rates of discontinuation. The groups compared in the Keyes et al. study were different in many ways; the women using HC were younger, were more likely to engage in positive health behaviors, and had lower depression scores at each prior interview. Women with mood disorders are more likely to avoid or discontinue HC and more likely to experience worsening mood while on HC. The negative mood-related side effects experienced by women using HC (irritability and lability) are not captured by a screening tool for clinical depression, such as the depression scale used in this study. The database used in this study was longitudinal and multiwave, so the authors could have compared changes in depressive symptoms among women who switched from hormonal to nonhormonal contraceptive methods (and vice versa) across different waves. Only if the same women experienced greater levels of depressive symptoms after discontinuing HC and fewer symptoms when they restarted HC could we conclude that HC may protect women from mood disorders.

Comparisons across depression assessment instruments in adolescence and young adulthood: an item response theory study using two linking methods

Item response theory (IRT) methods allow for comparing the utility of instruments based on the range and precision of severity assessed by each instrument. As adolescents and young adults can display rapid increases in depressive symptoms, there is a crucial need to sensitively assess mild elevations of symptoms (as an index of initial risk) and moderate-severe symptoms (as an indicator of treatment disposition). We compare the information assessed by the Beck Depression Inventory (BDI) to the newly developed Patient Reported Outcome Measurement Information System - Depression measure (PROMIS-Depression), and the Center for Epidemiologic Studies - Depression (CES-D) scale. The present work is based on data from two fully independent samples of community adolescents and young adults. One sample completed the BDI and CES-D (n = 1,482) and the second sample (n = 673) completed the PROMIS-Depression measure and the CES-D. Using two different IRT-based linking methods, (1) equating based on common items and (2) concurrent calibration methods, analyses revealed that the PROMIS-Depression measure assessed information over the widest range of depressive severity with greatest measurement precision relative to the other instruments. This was true for both the 28-item and 8-item versions of the PROMIS-Depression measure. Findings suggest that the PROMIS-Depression measure assessed depression severity with greatest precision and over the widest severity range of the assessed instruments. However, future work is necessary to demonstrate that the PROMIS-Depression measure has reliable associations with external criteria and is sensitive to treatment response.

The prospective associations between depression and sexual satisfaction among female medical students

INTRODUCTION

The direction of the relationships between depression and sexual dissatisfaction is unclear. Possibly, these relationships are influenced by different elements/components of depression represented by different measures (i.e., Center for Epidemiologic Studies Depression Scale [CES-D], which highlights mood, vs. Beck Depression Inventory version II [BDI-II], which focuses on cognition and physical symptoms). High-achieving women--such as female medical students, interns, and residents--might be particularly prone to both depression and sexual dissatisfaction.

AIM

The aim of this study is to examine the direction of the longitudinal associations between depressive symptoms and sexual dissatisfaction in high-achieving, romantically involved female Israeli medical students and interns/residents using both CES-D and BDI-II.

METHODS

One hundred ninety-four female medical students from the first, fourth, and seventh (internship) years from all medical schools in Israel who were currently involved in romantic relationships were assessed twice over a 1-year interval using both CES-D and BDI-II. Cross-lagged structural equation modeling analyses were employed.

MAIN OUTCOME MEASURES

Depressive symptoms were measured by the CES-D and the BDI-II. Sexual satisfaction was assessed by the "partner-satisfaction" factor of the Pinney Sexual Satisfaction Inventory.

RESULTS

Elevated levels of CES-D-measured depression were found (26% at T1 and 13% at T2 above the stricter cutoff point). The direction of the longitudinal association between depressive symptoms and sexual dissatisfaction changed according to the depression measure used: baseline CES-D-measured depression predicted an increase in sexual dissatisfaction over time (β = 0.148, P = 0.016). Baseline sexual satisfaction predicted an increase in BDI-II-measured depression (β = 0.136, P = 0.045).

CONCLUSION

High-achieving, "fully-functioning" female medical students suffer from elevated levels of CES-D-measured depressed mood. Depressed mood might lead to sexual dissatisfaction, which in turn is likely to bring about "clinical," BDI-II-measured depression. We recommend a routine assessment of depressed mood and sexual dissatisfaction in this population, as well as increased access to tailored intervention for both clinical challenges.

Dealing with missing data in the Center for Epidemiologic Studies Depression self-report scale: a study based on the French E3N cohort

BACKGROUND

The Center for Epidemiologic Studies - Depression scale (CES-D) is a validated tool commonly used to screen depressive symptoms. As with any self-administered questionnaire, missing data are frequently observed and can strongly bias any inference. The objective of this study was to investigate the best approach for handling missing data in the CES-D scale.

METHODS

Among the 71,412 women from the French E3N prospective cohort (Etude Epidémiologique auprès des femmes de la Mutuelle Générale de l'Education Nationale) who returned the questionnaire comprising the CES-D scale in 2005, 45% had missing values in the scale. The reasons for failure to complete certain items were investigated by semi-directive interviews on a random sample of 204 participants. The prevalence of high depressive symptoms (score ≥ 16, hDS) was estimated after applying various methods for ignorable missing data including multiple imputation using imputation models with CES-D items with or without covariates. The accuracy of imputation models was investigated. Various scenarios of nonignorable missing data mechanisms were investigated by a sensitivity analysis based on the mixture modelling approach.

RESULTS

The interviews showed that participants were not reluctant to answer the CES-D scale. Possible reasons for nonresponse were identified. The prevalence of hDS among complete responders was 26.1%. After multiple imputation, the prevalence was 28.6%, 29.8% and 31.7% for women presenting up to 4, 10 and 20 missing values, respectively. The estimates were robust to the various imputation models investigated and to the scenarios of nonignorable missing data.

CONCLUSIONS

The CES-D scale can easily be used in large cohorts even in the presence of missing data. Based on the results from both a qualitative study and a sensitivity analysis under various scenarios of missing data mechanism in a population of women, missing data mechanism does not appear to be nonignorable and estimates are robust to departures from ignorability. Multiple imputation is recommended to reliably handle missing data in the CES-D scale.

Pairwise measures of causal direction in the epidemiology of sleep problems and depression

Depressive mood is often preceded by sleep problems, suggesting that they increase the risk of depression. Sleep problems can also reflect prodromal symptom of depression, thus temporal precedence alone is insufficient to confirm causality. The authors applied recently introduced statistical causal-discovery algorithms that can estimate causality from cross-sectional samples in order to infer the direction of causality between the two sets of symptoms from a novel perspective. Two common-population samples were used; one from the Young Finns study (690 men and 997 women, average age 37.7 years, range 30–45), and another from the Wisconsin Longitudinal study (3101 men and 3539 women, average age 53.1 years, range 52–55). These included three depression questionnaires (two in Young Finns data) and two sleep problem questionnaires. Three different causality estimates were constructed for each data set, tested in a benchmark data with a (practically) known causality, and tested for assumption violations using simulated data. Causality algorithms performed well in the benchmark data and simulations, and a prediction was drawn for future empirical studies to confirm: for minor depression/dysphoria, sleep problems cause significantly more dysphoria than dysphoria causes sleep problems. The situation may change as depression becomes more severe, or more severe levels of symptoms are evaluated; also, artefacts due to severe depression being less well presented in the population data than minor depression may intervene the estimation for depression scales that emphasize severe symptoms. The findings are consistent with other emerging epidemiological and biological evidence.