Measuring Depression in Young Adults: Preliminary Development of an English Version of the Teate Depression Inventory.

Depression is a common and debilitating condition that impacts individuals with various cultural backgrounds, medical conditions, and life circumstances. Thus, assessment tools need to be useful among different cultural groups. The 21-item Teate Depression Inventory (TDI) was developed in Italy, is designed to assess major depression, and focuses on cognitive and affective rather than somatic symptoms. This study aims to examine the factor structure and concurrent validity of the TDI English version among a non-clinical population in the United States. Participants included 398 adults (mean age 19.89 years, SD = 2.72, range: 18 to 46 years old) who completed the TDI and The Center for Epidemiologic Studies Depression Scale-Revised (CESD-R). The results supported a three-factor bifactor structure of the TDI (Positive Affect, Negative Affect, and Daily Functioning), which largely corresponds to the Tripartite Model of affective disorders. These findings support the use of TDI scores as measures of depressive symptoms among U.S. young adults, offering researchers and practitioners a brief and useful tool.

Early Life Experiences and Trajectories of Cognitive Development.

BACKGROUND: Multiple factors constrain the trajectories of child cognitive development, but the drivers that differentiate the trajectories are unknown. We examine how multiple early life experiences differentiate patterns of cognitive development over the first 5 years of life in low-and middle-income settings. METHODS: Cognitive development of 835 children from the Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) multisite observational cohort study was assessed at 6, 15, 24 (Bayley Scales of Infant and Toddler Development), and 60 months (Wechsler Preschool and Primary Scale of Intelligence). Markers of socioeconomic status, infection, illness, dietary intake and status, anthropometry, and maternal factors were also assessed. Trajectories of development were determined by latent class-mixed models, and factors associated with class membership were examined by discriminant analysis. RESULTS: Five trajectory groups of cognitive development are described. The variables that best discriminated between trajectories included presence of stimulating and learning resources in the home, emotional or verbal responsivity of caregiver and the safety of the home environment (especially at 24 and 60 months), proportion of days (0-24 months) for which the child had diarrhea, acute lower respiratory infection, fever or vomiting, maternal reasoning ability, mean nutrient densities of zinc and phytate, and total energy from complementary foods (9-24 months). CONCLUSIONS: A supporting and nurturing environment was the variable most strongly differentiating the most and least preferable trajectories of cognitive development. In addition, a higher quality diet promoted cognitive development while prolonged illness was indicative of less favorable patterns of development.

Behavioral Health Screening: Validation of a Strength-Based Approach.

OBJECTIVE: To evaluate the validity of the Behavioral Health Checklist (BHCL) strength-based factor scores and the extent to which this factor has a buffering effect on the relationship between behavioral health symptom severity and children's social problems. METHOD: The parents of 1,392 children aged 4 to 12 completed the BHCL and Child Behavior Checklist (CBCL) during sick and well-child visits to urban and suburban primary care practices affiliated with a large children's hospital. RESULTS: Findings support a single, strength-based factor on the BHCL, and the structure was largely invariant across race, sex, and socioeconomic status. Increased psychopathology symptoms (internalizing, externalizing, and attention-deficit hyperactivity disorder) and lower levels of strengths predicted increased social problems (p < 0.001). Moreover, the interaction terms were statistically significant in all analyses, suggesting that higher levels of strengths may buffer the deleterious impact of psychopathology symptoms on social problems. Post hoc analyses indicated that the buffering influence of strengths on the relationship between psychopathology symptoms and social problems was clinically meaningful except in the older sample for the relationship between externalizing and social problems. CONCLUSION: The findings support the validity of a strength-based factor of the BHCL and indicate that this factor has a buffering effect on the association between the degree of child mental health symptoms and level of social impairment. This factor, in combination with the problem-focused factors of the BHCL, provides a balanced approach to screening children's mental health functioning.

Elevated Hair Mercury Levels Are Associated With Neurodevelopmental Deficits in Children Living Near Artisanal and Small-Scale Gold Mining in Peru.

Children living near artisanal and small-scale gold mining (ASGM) are at risk of exposure to mercury, a neurotoxicant. It is not certain whether such exposures are harming development, as they occur in underresourced contexts entwined with other stressors, such as malnutrition and enteric infection. This study sought to investigate the association between hair-mercury levels and visual-motor, cognitive, and physical development among children living near ASGM in the Peruvian Amazon. Total hair-mercury levels were measured in 164 children ages 5-12 living in Madre de Dios, Peru. Primary outcomes included Visual-Motor Integration assessed via the Beery-VMI Developmental Test, General Cognitive Ability assessed via the Batería-III Woodcock-Munoz (Spanish-language Woodcock-Johnson Tests of Cognitive Abilities), and Physical Health assessed via anthropometry/hemoglobin counts. Mean (SD) hair-mercury level was 2.06 (2.43) µg/g. Fifty-four children (32.9%) had hair-mercury levels above the World Health Organization reference level of 2.0 µg/g. After controlling for sex, child age, maternal education, and family socioeconomic status, each one unit increase in log hair-mercury level was associated with a 1.01 unit decrease in Visual-Motor Integration (95%CI: -2.06, 0.05, p = 0.061), a 2.59 unit decrease in General Cognitive Ability (95%CI: -4.52, -0.66, p = 0.012), and a 2.43 unit decrease in Physical Health (95%CI: -5.34, 0.49, p = 0.096). After adjustment for covariates, children with hair-mercury levels exceeding the World Health Organization reference level scored 4.68 IQ points lower in Cognitive Ability than their peers. Mercury exposures related to ASGM may be harming child development in the Peruvian Amazon. Children in this region may benefit from intervention to reach their full developmental potential.

Early Life Child Micronutrient Status, Maternal Reasoning, and a Nurturing Household Environment have Persistent Influences on Child Cognitive Development at Age 5 years: Results from MAL-ED.

BACKGROUND: Child cognitive development is influenced by early-life insults and protective factors. To what extent these factors have a long-term legacy on child development and hence fulfillment of cognitive potential is unknown. OBJECTIVE: The aim of this study was to examine the relation between early-life factors (birth to 2 y) and cognitive development at 5 y. METHODS: Observational follow-up visits were made of children at 5 y, previously enrolled in the community-based MAL-ED longitudinal cohort. The burden of enteropathogens, prevalence of illness, complementary diet intake, micronutrient status, and household and maternal factors from birth to 2 y were extensively measured and their relation with the Wechsler Preschool Primary Scales of Intelligence at 5 y was examined through use of linear regression. RESULTS: Cognitive T-scores from 813 of 1198 (68%) children were examined and 5 variables had significant associations in multivariable models: mean child plasma transferrin receptor concentration (ß: -1.81, 95% CI: -2.75, -0.86), number of years of maternal education (ß: 0.27, 95% CI: 0.08, 0.45), maternal cognitive reasoning score (ß: 0.09, 95% CI: 0.03, 0.15), household assets score (ß: 0.64, 95% CI: 0.24, 1.04), and HOME child cleanliness factor (ß: 0.60, 95% CI: 0.05, 1.15). In multivariable models, the mean rate of enteropathogen detections, burden of illness, and complementary food intakes between birth and 2 y were not significantly related to 5-y cognition. CONCLUSIONS: A nurturing home context in terms of a healthy/clean environment and household wealth, provision of adequate micronutrients, maternal education, and cognitive reasoning have a strong and persistent influence on child cognitive development. Efforts addressing aspects of poverty around micronutrient status, nurturing caregiving, and enabling home environments are likely to have lasting positive impacts on child cognitive development.

Assessing development across cultures: Invariance of the Bayley-III Scales Across Seven International MAL-ED sites.

The Bayley's Scales of Infant and Toddler Development-Third Edition (Bayley-III) were used to measure the development of 24-month-old children (N = 1,452) in the Interactions of Malnutrition and Enteric Infections: Consequences for Child Health and Development (MAL-ED) study (an international, multisite study on many aspects of child development). This study examined the factor structure and measurement equivalence/invariance of Bayley-III scores across 7 international research sites located in Bangladesh, Brazil, India, Nepal, Pakistan, Peru, and South Africa. Exploratory and confirmatory factor analyses were used to identify the factor structure of Bayley-III scores. Subsequently, reliability analyses and item response theory analyses were applied, and invariance was examined using multiple-indicator, multiple-cause modeling. The findings supported the validity, but not invariance, of Bayley-III language scores at all seven sites and of the cognitive and motor scores at six sites. These findings provide support for the use of scores for research purposes, but mean comparison between sites is not recommended. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Early childhood growth and cognitive outcomes: Findings from the MAL-ED study.

Although many studies around the world hope to measure or improve developmental progress in children to promote community flourishing and productivity, growth is sometimes used as a surrogate because cognitive skills are more difficult to measure. Our objective was to assess how childhood measures of anthropometry correlate with measures of child development in low-income settings with high prevalence of poor nutrition and enteric disease, to inform studies considering growth outcomes in the absence of direct child developmental skill assessment. Children from the MAL-ED study were followed from birth to 24 months of age in field sites in 8 low- and middle-income countries across 3 continents. Monthly weight, length, and head circumference measurements were performed. At 24 months, the Bayley Scales of Infant and Toddler Development was administered. We correlated cognitive measures at 24 months with anthropometric measurements from birth to 2 years comparing 3 constructs: absolute attained monthly measures, summative difference in measures from the mean growth curve, and rate of change in measures. Growth faltering at multiple time periods is related to Bayley cognitive outcomes at 24 months. Birthweight, overall growth by 18-24 months, and rate of growth in the 6- to 18-month period were most associated with 24-month developmental scores. In this study, head circumference measurements, compared with length, was more closely linked to cognitive scores at 24 months. Notably, all studies between growth and cognitive outcomes exhibited low r2 values (0.001-0.049). Anthropometric measures, particularly head circumference, were related to cognitive development, although explaining a low percent of variance. When feasible, direct measures of child development may be more useful.

Measuring home environments across cultures: Invariance of the HOME scale across eight international sites from the MAL-ED study.

The home environment provides the context for much of a child's early development. Examples of important aspects of the home environment include safety, cleanliness, and opportunities for cognitive stimulation. This study sought to examine the psychometric properties of an adapted form of the Home Observation for the Measurement of the Environment (HOME; Caldwell & Bradley, 1984, 2003) across the eight international sites of the MAL-ED project (Dhaka, Bangladesh; Vellore, India; Bhakatapur, Nepal; Naushahro Feroze, Pakistan; Fortaleza, Brazil; Loreto, Peru; Venda, South Africa; Haydom, Tanzania), to identify a factor structure that fit the data at all sites, and to derive a subset of items that could be used to examine home environmental characteristics across sites. A three-factor structure (i.e., Emotional and Verbal Responsivity; Clean and Safe Environment; Child Cleanliness) was identified, and partial measurement equivalence/invariance across sites was supported. Overall, these findings lend support for the use of portions of this abbreviated and adapted version of the HOME for use among heterogeneous, cross-cultural groups in low- and middle-income nations.

Identifying Noncognitive Skills That Contribute to Dental Students' Success: Dental Faculty Perspectives.

The aims of this study were to identify noncognitive factors that dental faculty members perceived to contribute to dental students' success and to assess dental faculty members' ratings of the relative importance of these factors to academic performance, clinical performance, and overall success. Out of 184 eligible faculty members at one U.S. dental school, 43 respondents (23.3%) completed a survey in 2015-16. The survey asked respondents to rank the importance of seven noncognitive factors to academic performance, clinical performance, and overall success. Descriptive analysis was conducted to determine the ratings on importance of each noncognitive factor. Two additional open-ended questions asked faculty members to 1) think of dental students who performed very well and list the noncognitive factors they believed contributed to those students' success and 2) identify the two most important of those factors that contributed to success. Qualitative analysis was conducted to identify themes in the open-ended responses. The respondents rated professionalism and preparedness highest in importance for overall success. Preparedness was rated highest in importance for academic performance, and communication was highest in importance for clinical performance. Six themes were identified in the open-ended responses: communication/interpersonal skills, approach to learning, personal characteristics, professionalism, diverse experiences, and technical abilities. On both open-ended items, the most frequently cited noncognitive skill was communication/interpersonal skills followed by approach to learning. In this study, dental faculty members perceived communication, preparedness, and professionalism as important skills contributing to dental students' success.

Measurement equivalence: A non-technical primer on categorical multi-group confirmatory factor analysis in school psychology.

Evidence-based interventions (EBIs) have become a central component of school psychology research and practice, but EBIs are dependent upon the availability and use of evidence-based assessments (EBAs) with diverse student populations. Multi-group confirmatory factor analysis (MG-CFA) is an analytical tool that can be used to examine the validity and measurement equivalence/invariance of scores across diverse groups. The objective of this article is to provide a conceptual and procedural overview of categorical MG-CFA, as well as an illustrated example based on data from the Social and Academic Behavior Risk Screener (SABRS) - a tool designed for use in school-based interventions. This article serves as a non-technical primer on the topic of MG-CFA with ordinal (rating scale) data and does so through the framework of examining equivalence of measures used for EBIs within multi-tiered models - an understudied topic. To go along with the illustrated example, we have provided supplementary files that include sample data, Mplus input code, and an annotated guide for understanding the input code (http://dx.doi.org/10.1016/j.jsp.2016.11.002). Data needed to reproduce analyses in this article are available as supplemental materials (online only) in the Appendix of this article.

How multiple episodes of exclusive breastfeeding impact estimates of exclusive breastfeeding duration: report from the eight-site MAL-ED birth cohort study.

The duration of exclusive breastfeeding (EBF) is often defined as the time from birth to the first non-breast milk food/liquid fed (EBFLONG), or it is estimated by calculating the proportion of women at a given infant age who EBF in the previous 24 h (EBFDHS). Others have measured the total days or personal prevalence of EBF (EBFPREV), recognizing that although non-EBF days may occur, EBF can be re-initiated for extended periods. We compared breastfeeding metrics in the MAL-ED study; infants' breastfeeding trajectories were characterized from enrollment (median 7 days, IQR: 4, 12) to 180 days at eight sites. During twice-weekly surveillance, caretakers were queried about infant feeding the prior day. Overall, 101 833 visits and 356 764 child days of data were collected from 1957 infants. Median duration of EBFLONG was 33 days (95% CI: 32-36), compared to 49 days based on the EBFDHS. Median EBFPREV was 66 days (95% CI: 62-70). Differences were because of the return to EBF after a non-EBF period. The median number of returns to EBF was 2 (IQR: 1, 3). When mothers re-initiated EBF (second episode), infants gained an additional 18.8 days (SD: 25.1) of EBF, and gained 13.7 days (SD: 18.1) (third episode). In settings where women report short gaps in EBF, programmes should work with women to return to EBF. Interventions could positively influence the duration of these additional periods of EBF and their quantification should be considered in impact evaluation studies. © 2016 John Wiley & Sons Ltd.

A Comparison of Diarrheal Severity Scores in the MAL-ED Multisite Community-Based Cohort Study.

OBJECTIVES: There is a lack of consensus on how to measure diarrheal severity. Within the context of a multisite, prospective cohort study, we evaluated the performance of a modified Vesikari score (MAL-ED), 2 previously published scores (Clark and CODA [a diarrheal severity score (Community DiarrheA) published by Lee et al]), and a modified definition of moderate-to-severe diarrhea (MSD) based on dysentery and health care worker diagnosed dehydration. METHODS: Scores were built using maternally reported symptoms or fieldworker-reported clinical signs obtained during the first 7 days of a diarrheal episode. The association between these and the risk of hospitalization were tested using receiver operating characteristic analysis. Severity scores were also related to illness etiology, and the likelihood of the episode subsequently becoming prolonged or persistent. RESULTS: Of 10,159 episodes from 1681 children, 143 (4.0%) resulted in hospitalization. The area under the curve of each score as a predictor of hospitalization was 0.84 (95% confidence interval: 0.81, 0.87) (Clark), 0.85 (0.82, 0.88) (MAL-ED), and 0.87 (0.84, 0.89) (CODA). Severity was also associated with etiology and episode duration. Although families were more likely to seek care for severe diarrhea, approximately half of severe cases never reached the health system. CONCLUSIONS: Community-based diarrheal severity scores are predictive of relevant child health outcomes. Because they require no assumptions about health care access or utilization, they are useful in refining estimates of the burden of diarrheal disease, in estimating the effect of disease control interventions, and in triaging children for referral in low- and middle-income countries in which the rates of morbidity and mortality after diarrhea remain high.

Early-life enteric infections: relation between chronic systemic inflammation and poor cognition in children.

The intestinal microbiota undergoes active remodeling in the first 6 to 18 months of life, during which time the characteristics of the adult microbiota are developed. This process is strongly influenced by the early diet and enteric pathogens. Enteric infections and malnutrition early in life may favor microbiota dysbiosis and small intestinal bacterial overgrowth, resulting in intestinal barrier dysfunction and translocation of intestinal bacterial products, ultimately leading to low-grade, chronic, subclinical systemic inflammation. The leaky gut-derived low-grade systemic inflammation may have profound consequences on the gut-liver-brain axis, compromising normal growth, metabolism, and cognitive development. This review examines recent data suggesting that early-life enteric infections that lead to intestinal barrier disruption may shift the intestinal microbiota toward chronic systemic inflammation and subsequent impaired cognitive development.

Validation of the Behavioral Health Checklist in Diverse Pediatric Primary Care Settings.

OBJECTIVE: Examine the validity and clinical utility of the Behavioral Health Checklist (BHCL), a screening tool with 2 forms (4-7, 8-12 years) developed for use with children of diverse backgrounds. METHOD: At pediatric primary care appointments, the parents of 1274 children completed a demographic form, the BHCL, and the Child Behavior Checklist (CBCL). Concurrent validity was examined by conducting correlations between the BHCL and the diagnostic scales of the CBCL. Diagnostic prediction was examined by conducting logistic regression analyses and plotting receiver operating characteristics (ROC) curves. Clinical utility was investigated by examining sensitivity, specificity, and kappa corrections for total predictive power. RESULTS: The pattern of correlations with the CBCL provided evidence of convergent and discriminant validity for both versions of the BHCL. ROC curve plots provided clear evidence of predictive validity (area under curve values ranged from .84 to .96 across factors and both age-determined versions). Cut-points achieving sensitivity and specificity values of at least .70 were identified for each BHCL factor for each version. CONCLUSION: The BHCL was demonstrated to have strong construct and predictive validity. The predictive validity of each version was demonstrated across genders, socioeconomic status, and racial groups (black or African American and white). The BHCL has promise as a developmentally and culturally effective behavioral health screener for use in pediatric primary care practices.

Evaluating the applied use of a mental health screener: Structural validity of the Social, Academic, and Emotional Behavior Risk Screener.

Universal screening for mental health has gained prominence in schools with the adoption of multitiered systems of support. However, there is a general lack of brief, psychometrically defensible instruments that assess emotional and behavioral risk. This study employed a multilevel, confirmatory bifactor analysis to evaluate the factor structure of a novel screening instrument-the Social, Academic, and Emotional Behavioral Risk Screener (SAEBRS; Kilgus & von der Embse, 2014)-examining the structure at the student (within) and teacher or rater (between) levels. Item response theory (IRT) analyses were then used to examine the functioning of 2 existing factors, social risk and academic risk, in addition to a newly introduced third factor, emotional risk, within a sample of 834 elementary and middle school students. Results indicated good fit of a bifactor model including the addition of the new Emotional Behavior subscale. IRT analyses suggested strong item-level discriminative properties (a > 1.0) for 17 of the 19 SAEBRS items and indicated that scale precision was greatest within the low to moderate range of each respective dimension (social, academic, and behavioral risk). Overall, the findings provide support for the use of the SAEBRS as a screener for mental health-related concerns. Implications for model interpretation and model use are discussed. (PsycINFO Database Record

Structural invariance of General Behavior Inventory (GBI) scores in Black and White young adults.

In the United States, Black and White individuals show discrepant rates of diagnosis of bipolar disorder versus schizophrenia and antisocial personality disorder, as well as disparate access to and utilization of treatment for these disorders (e.g., Alegria, Chatterji, et al., 2008; Chrishon, Anderson, Arora, & Bailey, 2012). Such diagnostic discrepancies might stem from racially related cognitive biases in clinical judgment or from racial biases in measurements of bipolar disorder. The General Behavior Inventory (GBI) is among the most well-validated and widely used measures of bipolar mood symptoms, but the psychometric properties of the GBI have been examined primarily in predominantly White samples. In this study, we used multigroup confirmatory factor analyses (CFA) to examine the invariance of GBI scores across racial groups with a nonclinical sample. Fit was acceptable for tests of configural invariance, equal factor loadings, and equal intercepts, but not invariance of residuals. Findings indicate that GBI scores provide functionally invariant measurement of mood symptoms in both Black and White samples. The use of GBI scores may contribute consistent information to clinical assessments and could potentially reduce diagnostic discrepancies and associated differences in access to and utilization of mental health services.

Postpartum depressive symptoms across time and place: structural invariance of the Self-Reporting Questionnaire among women from the international, multi-site MAL-ED study.

BACKGROUND: The Self-Reporting Questionnaire (SRQ) is a screening instrument that has been shown to be an effective measure of depression in postpartum women and is widely used in developing nations. METHODS: The SRQ was administered to 2028 mothers from eight nations at two time points: one and six months postpartum. All data were obtained from the Interactions of Malnutrition and Enteric Infections: Consequences for Child Health and Development (MAL-ED) study. The sample included women from MAL-ED sites in Bangladesh, Brazil, India, Nepal, Pakistan, Peru, South Africa, and Tanzania. This study examined three aspects of validity of SRQ scores including (a) structural validity, (b) cross-cultural invariance, and (c) invariance over time. RESULTS: A 16-item, one-factor structure with items reflecting somatic symptoms removed was deemed to be superior to the original structure in this postpartum population. Although differential item functioning (DIF) across sites was evident the one-factor model was a good fit to the data from seven sites, and the structure was invariant across the one- and six-month time points. LIMITATIONS: Findings are based on data from self-report scales. No information about the clinical status of the participants was available. CONCLUSIONS: Overall, findings support the validity of a modified model of the SRQ among postpartum women. Somatic symptoms (e.g., headaches, not sleeping well) may not reflect internalizing problems in a postpartum population. Implications for researchers and practitioners are discussed.

Self-referent information processing in individuals with bipolar spectrum disorders.

BACKGROUND: Bipolar spectrum disorders (BSDs) are common and impairing, which has led to an examination of risk factors for their development and maintenance. Historically, research has examined cognitive vulnerabilities to BSDs derived largely from the unipolar depression literature. Specifically, theorists propose that dysfunctional information processing guided by negative self-schemata may be a risk factor for depression. However, few studies have examined whether BSD individuals also show self-referent processing biases. METHODS: This study examined self-referent information processing differences between 66 individuals with and 58 individuals without a BSD in a young adult sample (age M=19.65, SD=1.74; 62% female; 47% Caucasian). Repeated measures multivariate analysis of variance (MANOVA) was conducted to examine multivariate effects of BSD diagnosis on 4 self-referent processing variables (self-referent judgments, response latency, behavioral predictions, and recall) in response to depression-related and nondepression-related stimuli. RESULTS: Bipolar individuals endorsed and recalled more negative and fewer positive self-referent adjectives, as well as made more negative and fewer positive behavioral predictions. Many of these information-processing biases were partially, but not fully, mediated by depressive symptoms. LIMITATIONS: Our sample was not a clinical or treatment-seeking sample, so we cannot generalize our results to clinical BSD samples. No participants had a bipolar I disorder at baseline. CONCLUSIONS: This study provides further evidence that individuals with BSDs exhibit a negative self-referent information processing bias. This may mean that those with BSDs have selective attention and recall of negative information about themselves, highlighting the need for attention to cognitive biases in therapy.

Rumination prospectively predicts executive functioning impairments in adolescents.

BACKGROUND AND OBJECTIVES: The current study tested the resource allocation hypothesis, examining whether baseline rumination or depressive symptom levels prospectively predicted deficits in executive functioning in an adolescent sample. The alternative to this hypothesis was also evaluated by testing whether lower initial levels of executive functioning predicted increases in rumination or depressive symptoms at follow-up. METHODS: A community sample of 200 adolescents (ages 12-13) completed measures of depressive symptoms, rumination, and executive functioning at baseline and at a follow-up session approximately 15 months later. RESULTS: Adolescents with higher levels of baseline rumination displayed decreases in selective attention and attentional switching at follow-up. Rumination did not predict changes in working memory or sustained and divided attention. Depressive symptoms were not found to predict significant changes in executive functioning scores at follow-up. Baseline executive functioning was not associated with change in rumination or depression over time. CONCLUSIONS: Findings partially support the resource allocation hypothesis that engaging in ruminative thoughts consumes cognitive resources that would otherwise be allocated towards difficult tests of executive functioning. Support was not found for the alternative hypothesis that lower levels of initial executive functioning would predict increased rumination or depressive symptoms at follow-up. Our study is the first to find support for the resource allocation hypothesis using a longitudinal design and an adolescent sample. Findings highlight the potentially detrimental effects of rumination on executive functioning during early adolescence.

Differentiating bipolar disorder from unipolar depression and ADHD: the utility of the general behavior inventory.

Adolescence and early adulthood are the peak ages for the onset of unipolar and bipolar mood disorders. Moreover, for most individuals with attention-deficit/hyperactivity disorder (ADHD), symptoms and impairment begin in childhood but persist well into adolescence and adulthood (e.g., Barkley, 2010). Thus, adolescence and early adulthood represent a developmental window wherein individuals can be affected by mood disorders, ADHD, or both. Because treatment protocols for unipolar depression (UPD), bipolar disorder (BD), and ADHD are quite different, it is crucial that assessment instruments used among adolescents and young adults differentiate between these disorders. The primary objectives of this study were to evaluate the predictive and diagnostic validity of General Behavior Inventory (GBI; Depue et al., 1981) scores in discriminating BD from UPD and ADHD. Participants were drawn from adolescent (n = 361) and young adult (n = 614) samples. Based on findings from logistic regression and receiver-operating characteristics analyses, the diagnostic efficiency of the GBI scales range from fair (discriminating UPD from BD) to good (discriminating BD participants from nonclinical controls). Multilevel diagnostic likelihood ratios are also provided to facilitate individual decision making.