Youth recidivism: youth self-report matters

Introduction

"Recidivism" is used ubiquitously in juvenile justice research and typically describes repeat legal contact; however, researchers, policymakers, and clinicians operationalize it in various ways. Despite assuming each measure is a proxy for continued delinquent behavior leading to further legal contact, few have examined the association between youth delinquent behavior and self-reported and official records of legal contact. Furthermore, systemic bias against ethnoracial and gender minoritized youth often results in more harsh treatment by the legal system, which could influence recidivism measurement. Latent variable modeling of legal contact is understudied; thus, it is important to examine the feasibility of measuring this construct as a latent variable, including measurement invariance by gender.

Methods

Among 401 youth ages 12-18 years at first ever court contact, we examined three metrics of legal contact over a 2-year follow-up period: youth-report of arrest, caregiver-report of their adolescent's arrest, and official records of the number of new court charges. We examined between-group differences on each metric based on gender and ethnoracial identity. We then measured: (1) the association between youths' self-reported delinquency and each metric, (2) gender-specific associations between self-reported delinquency and each metric, and (3) gender-based measurement invariance for a latent recidivism variable using confirmatory factor analysis.

Results

Youth were consistent reporters of their own delinquent behavior and prospective legal contact measured by arrests. There were no between-group differences based on gender or ethnoracial identity for any legal contact measures. Delinquency and all legal contact variables were positively intercorrelated for the overall sample and the male subsample. For females, delinquency was not associated with caregiver-reported youth arrest or number of new charges. The latent legal contact variable had unique factor structures for male and female subsamples, suggesting no measurement invariance.

Discussion

Youth-reported delinquency at first ever legal contact was most strongly associated with youth-reported arrest during a 2-year follow-up period, followed by caregiver-reported arrest, and the number of new charges. Unique latent variable factor structures for male and female subsamples suggests the inter-relation between legal contact variables is gender-specific. Stakeholders should consider prioritizing youth-reported delinquency since it is most strongly related to prospective youth-reported arrest.

Discrepancies in Mother-Child Reports of Child's Exposure to Intimate Partner Violence: Associations With Externalizing Symptoms

The type and frequency of children's exposure to intimate partner violence (IPV) are considered as key variables in understanding children's heightened risk of externalizing symptoms. Notably, children's exposure to IPV has been primarily measured using mothers' reports of their own victimization. However, mothers and children might differently perceive children's exposure to physical IPV. To date, no research has investigated multi-rater reporting discrepancies in child's exposure to physical IPV and whether such discrepancies would be linked to externalizing symptoms. This study aimed to identify patterns of mother-child discrepancies in child's exposure to physical IPV and examine whether those patterns would be associated with children's externalizing symptoms. Participants were mothers who have experienced police-reported male-perpetrated IPV and their children (n = 153; 4-10 years). Latent profile analysis identified three profiles of mother-child discrepancies: a concordant group reporting high IPV exposure; a discordant group with mothers and children reporting high and low child's IPV exposure, respectively; a second discordant group with mothers and children reporting low and moderate IPV exposure, respectively. Profiles of mother-child discrepancies were differentially associated with children's externalizing symptoms. Findings suggest that discrepancies among informants' ratings of children's IPV exposure might have important implications for measurement, assessment, and treatment.

Compulsive Internet Use Scale for assessment of self-reported problematic internet use in primary school-aged children

Introduction

The tremendous growth of internet use during past few decades has been primarily led by young people. Despite a plenitude of studies reporting the pros and cons of excessive internet use by adolescents, the internet use of primary school-aged children is under-researched. First, there is lack of reliable and valid cultural invariant self-report instruments for children younger than 11-years-old. Secondly, there is no consensus on whether primary school-aged children can reliably report on their internet use. This study aimed to examine the psychometric properties of the Compulsive Internet Use Scale (CIUS) as reported by primary school-aged children in three different countries/regions.

Methods

Paper-pencil format CIUS questionnaires were completed by a total of 691 children aged 8 to 10 years old, 236 of them Latvian, 207 Lithuanian, and 248 Taiwanese, as well as by one of their parents, at two-time points, separated by a one-year interval. The parents also reported on the child's emotional and behavioral difficulties.

Methods

Confirmatory factor analysis indicated that for the child self-report, a 10-item CIUS showed the best fit and good psychometric properties: solid structural validity; very good internal consistency; appropriate stability and predictive validity after 1 year; as well as sound sensitivity and specificity when compared to the 14-item CIUS parent-report form. Child self-report CIUS ratings correlated with time online reported by the child and parent and with emotional and behavioral problems reported by the parent.

Discussion

This study indicates that children as young as 8-10 years old can reliably and consistently provide valuable information on their problematic use of the internet.

The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows

There has been heightened interest in identifying critical windows of exposure for adverse health outcomes; that is, time points during which exposures have the greatest impact on a person's health. Multiple informant models implemented using generalized estimating equations (MIM GEEs) have been applied to address this research question because they enable statistical comparisons of differences in associations across exposure windows. As interest rises in using MIMs, the feasibility and appropriateness of their application under settings of correlated exposures and partially missing exposure measurements requires further examination. We evaluated the impact of correlation between exposure measurements and missing exposure data on the power and differences in association estimated by the MIM GEE and an inverse probability weighted extension to account for informatively missing exposures. We assessed these operating characteristics under a variety of correlation structures, sample sizes, and missing data mechanisms considering various exposure-outcome scenarios. We showed that applying MIM GEEs maintains higher power when there is a single critical window of exposure and exposure measures are not highly correlated, but may result in low power and bias under other settings. We applied these methods to a study of pregnant women living with HIV to explore differences in association between trimester-specific viral load and infant neurodevelopment.

Future Directions in Understanding and Interpreting Discrepant Reports of Suicidal Thoughts and Behaviors Among Youth

Both the quality and utility of youth suicide research depend on how we assess our outcomes of interest: suicidal thoughts and behaviors (STBs). We now have access to more STB assessments than ever before, with measures for youth that vary in what exact experiences are asked about, how such measures elicit information, when and how frequently measures are administered, and who the informants are. This growing armamentarium of assessments has the potential to improve the study and treatment of STBs among youth, but it hinges on meaningful interpretation of assessment responses. Interpretation can be especially challenging when different STB assessments yield conflicting information. Determining how to manage discrepant reports of STBs is a pivotal step toward achieving meaningfully comprehensive STB assessment batteries. Here, we outline several discrepant reporting patterns that have been detected, discuss the potential significance of these observed discrepancies, and present initial steps to formally investigate discrepant reports of STBs among youth. Developing coherent, interpretable, and comprehensive batteries assessing STBs among youth would address a fundamental step to uncovering etiology, improving clinical decision-making and case management, informing intervention development, and tracking prognosis.

Adolescent Safety Behaviors and Social Anxiety: Links to Psychosocial Impairments and Functioning with Unfamiliar Peer Confederates

Socially anxious adolescents often endure anxiety-provoking situations using safety behaviors: strategies for minimizing in-the-moment distress (e.g., avoiding eye contact, rehearsing statements before entering a conversation). Studies linking safety behaviors to impaired functioning have largely focused on adults. In a sample of one hundred thirty-four 14 to 15 year-old adolescents, we tested whether levels of safety behaviors among socially anxious adolescents relate to multiple domains of impaired functioning. Adolescents, parents, and research personnel completed survey measures of safety behaviors and social anxiety, adolescents and parents reported about adolescents' evaluative fears and psychosocial impairments, and adolescents participated in a set of tasks designed to simulate social interactions with same-age, unfamiliar peers. Relative to other adolescents in the sample, adolescents high on both safety behaviors and social anxiety displayed greater psychosocial impairments, evaluative fears, and observed social skills deficits within social interactions. These findings have important implications for assessing and treating adolescent social anxiety.

Family Functioning in Families Affected by Parental Mental Illness: Parent, Child, and Clinician Ratings

Family functioning is often impaired in families with a parent with mental illness and is linked to child mental health. This study aims to gain a better understanding of family functioning in affected families by comparing ratings among family members and by analyzing associations with clinician-rated family functioning. The cross-sectional sample comprised 210 families with ratings of 207 patients, 139 partners, and 100 children. Parents with a mental illness as well as their partners and children completed the German version of the Family Assessment Measure (FAM). Clinician ratings were obtained by the Global Assessment of Relational Functioning Scale (GARF). We conducted several mixed models to compare ratings of family functioning while accounting for family cluster. Family dysfunction was consistently elevated compared to a normative sample. On several domains, parents with a mental illness perceived family functioning to be worse compared to their partners and children. Partners and children did not differ in their perceptions of family functioning. Ratings of family members were moderately associated with clinician ratings. We discuss the importance of multi-informant assessment of family functioning and the implementation of family-based interventions for families with a parent with mental illness.

Unfamiliar Untrained Observers' Ratings of Adolescent Safety Behaviors Within Social Interactions with Unfamiliar Peer Confederates

Adolescents experiencing social anxiety often engage in safety behaviors-covert avoidance strategies for managing distress (e.g., avoiding eye contact)-that factor into the development and maintenance of their concerns. Prior work supports the psychometric properties of the Subtle Avoidance Frequency Examination (SAFE), a self-report survey of safety behaviors. Yet, we need complementary methods for assessing these behaviors within contexts where adolescents often experience concerns, namely, interactions with unfamiliar peers. Recent work indicates that, based on short, direct social interactions with adolescents, individuals posing as unfamiliar peers (i.e., peer confederates) and without assessment training can capably report about adolescent social anxiety. We built on prior work by testing whether we could gather valid SAFE reports from unfamiliar untrained observers (UUOs), who observed adolescents within archived recordings of these short social interactions. A mixed clinical/community sample of 105 adolescents self-reported on their functioning and participated in a series of social interaction tasks with peer confederates, who also provided social anxiety reports about the adolescent. Based on video recordings of these tasks, trained independent observers rated adolescents' observed social skills, and an additional set of UUOs completed SAFE reports of these same adolescents. Unfamiliar untrained observers' SAFE reports (a) related to adolescents' SAFE self-reports, (b) distinguished adolescents on clinically elevated social anxiety concerns, (c) related to trained independent observers' ratings of adolescent social skills within interactions with peer confederates, and (d) related to adolescents' self-reported arousal within these same interactions. Our findings support use of unfamiliar observers' perspectives to understand socially anxious adolescents' interpersonal functioning.

Convergent and Discriminant Validities of SCBE-30 Questionnaire Using Correlated Trait-Correlated Method Minus One

Correlated trait–correlated method minus one was used to evaluate convergent and discriminant validity of Social Competence Behavior Evaluation questionnaire (Social Competence, Anger-Aggression, Anxiety-Withdrawal) between multiple raters. A total of 369 children (173 boys and 196 girls; M_age = 55.85, SD_age = 11.54) were rated by their mothers, fathers, and teachers. Results showed more convergence between parents than parent-teacher ratings. Mother-teacher share a common view of child behavior that is not shared with father. Parents had more difficulty distinguishing internalizing and externalizing behaviors (especially fathers). Measurement invariance across child sex was explored, results imply that differences between boys and girls were not due to measure. Girls (compare to boys) were described as more social competent by their fathers and teachers, while boys as more aggressive by mothers and teachers.

Triple Alignment: Congruency of Perceived Preschool Classroom Social Networks Among Teachers, Children, and Researchers

Classroom social networks are influential to young children's cognitive, social-emotional, and language development, but assessment and analyses of social networks are complex. Findings have been mixed regarding whether different informants (teachers, children, researchers) are congruent in perceiving classroom social networks. There is also a lack of discussion about the roles of network transformation (converting value networks into binary networks), a required data step for widely used statistical network analyses. This study addressed these issues based on network data of 16 preschool children containing 240 potential dyadic interactions collected from teacher ratings, child nominations, and researcher observations across 44 observation cycles over four school days. Results showed that the three informants were congruent in perceiving the classroom social network, whereas the level of congruency between the teacher-report and the researcher-report networks was the highest. Binary transformation of social networks tended to decrease the level of congruency across informants, although the level of congruency tended to be higher when more stringent binary transformation thresholds were selected.

Variations in Parent and Teacher Ratings of Internalizing, Externalizing, Adaptive Skills, and Behavioral Symptoms in Children with Selective Mutism

Selective mutism (SM) is an anxiety disorder that impacts communication. Children with SM present concerns to parents and teachers as they consistently do not speak in situations where there is an expectation to speak, such as at school, but speak in other settings where they feel more comfortable, such as at home. The purpose of this study was to investigate the relationship between parents’ and teachers’ perceptions of children with SM on behavioral rating scales and language measures. Forty-two children (22 boys and 20 girls, ranging from 2.4 to 13.8 years, with a mean age of 7.1 years) took part in this study. Parents and teachers completed the Behavior Assessment System for Children (BASC-3) measuring internalizing behaviors, externalizing behaviors, adaptive skills, and behavioral symptoms. Frequency of speaking and language abilities were also measured. Parents and teachers both identified withdrawal as the most prominent feature of SM but parents saw children as significantly more withdrawn than did their teachers. Both rated children similarly at-risk on scales of functional communication and social skills. Higher adaptive skills (including functional communication and social skills) were positively correlated with vocabulary, narrative language, and auditory serial memory according to teachers. Parent and teacher rating scales provide valuable information for diagnosis and progress monitoring. Children with SM can benefit from mental health practitioners who can identify and enhance their emotional well-being.

Interrater agreement and discrepancy when assessing problem behaviors, social-emotional skills, and developmental status of kindergarten children

OBJECTIVE

The present study examined parent-teacher agreement and discrepancy when assessing kindergarten children's behavioral and emotional problems, social-emotional skills, and developmental status.

METHOD

Parents and teachers of overall n = 922 kindergarten children (M _age  = 3.99; 449 girls) rated the children using the Conners Early Childhood, the Strengths and Difficulties Questionnaire, and the Questionnaire for Assessing Preschool Children's Behavior.

RESULTS

Agreement was moderate for problem behaviors and social-emotional skills and substantial for developmental status. Agreement was stronger for externalizing than for internalizing problems. Agreement on the clinical relevance of problem behaviors and of social-emotional skills was stronger for children with a clinical diagnosis than for those without. Parents tended to report more problems, but also greater social-emotional skills and developmental status, than teachers.

CONCLUSIONS

The findings corroborate the importance of situational specificity for understanding interrater agreement and discrepancy. Future teacher questionnaires should more specifically assess children's functioning in kindergarten.

Maternal Problem Drinking and Child Mental Health

BACKGROUND

Offspring of individuals with alcohol use disorders have been shown to have elevated risk for mental health problems.

OBJECTIVES

To examine the association between maternal problem drinking and child mental health as assessed by three informants in three European countries.

METHODS

Data were drawn from the School Child Mental Health in Europe study. Maternal alcohol use was assessed using the alcohol use disorders identification test. Child mental health was assessed using the mother and teacher versions of the strengths and difficulties questionnaire, and the child self-reported Dominic interactive. Analyses were performed on 2,678 individuals, 6-11 year olds.

RESULTS

Adjusting for variables associated with maternal drinking, among children eight years old or younger, excessive drinking was not significantly associated with mental health problems, whether reported by the mother, teacher or by the child. However, among girls eight years old and above, problem drinking was associated with conduct problems as reported by the mother (OR = 4.19), teacher reported total difficulties (OR = 4.69), and peer relationship problems (OR = 8.86). It was also associated with the presence of any child-reported disorder (OR = 3.88), externalizing (OR = 5.55) and internalizing disorders (OR = 4.42). Conclusions/Importance: Adjusting for sociodemographic variables and for psychological distress, maternal problem drinking was not significantly associated with child mental health problems in boys or in girls ages six to eight. The association was only present among girls ages 8-11. Examining relationships between mothers and their daughters in the peripubertal period may be a critical window for the development of effective intervention strategies.

School climate: perceptual differences between students, parents, and school staff

Research suggests that school climate can have a great impact on student, teacher, and school outcomes. However, it is often assessed as a summary measure, without taking into account multiple perspectives (student, teacher, parent) or examining subdimensions within the broader construct. In this study, we assessed school climate from the perspective of students, staff, and parents within a large, urban school district using multilevel modeling techniques to examine within- and between-school variance. After adjusting for school-level demographic characteristics, students reported worse perceptions of safety and connectedness compared to both parent and staff ratings (all p < 0.05). Parents gave the lowest ratings of parental involvement, and staff gave the lowest ratings of academic emphasis (ps < 0.05). Findings demonstrate the importance of considering the type of informant when evaluating climate ratings within a school. Understanding how perceptions differ between informants can inform interventions to improve perceptions and prevent adverse outcomes.

Incremental Validity and Informant Effect from a Multi-Method Perspective: Assessing Relations between Parental Acceptance and Children's Behavioral Problems

This study examines the relationships between perceived parental acceptance and children's behavioral problems (externalizing and internalizing) from a multi-informant perspective. Using mothers, fathers, and children as sources of information, we explore the informant effect and incremental validity. The sample was composed of 681 participants (227 children, 227 fathers, and 227 mothers). Children's (40% boys) ages ranged from 9 to 17 years (M = 12.52, SD = 1.81). Parents and children completed both the Parental Acceptance Rejection/Control Questionnaire (PARQ/Control) and the check list of the Achenbach System of Empirically Based Assessment (ASEBA). Statistical analyses were based on the correlated uniqueness multitrait-multimethod matrix (model MTMM) by structural equations and different hierarchical regression analyses. Results showed a significant informant effect and a different incremental validity related to which combination of sources was considered. A multi-informant perspective rather than a single one increased the predictive value. Our results suggest that mother-father or child-father combinations seem to be the best way to optimize the multi-informant method in order to predict children's behavioral problems based on perceived parental acceptance.

Analyzing Statistical Mediation with Multiple Informants: A New Approach with an Application in Clinical Psychology

Testing mediation models is critical for identifying potential variables that need to be targeted to effectively change one or more outcome variables. In addition, it is now common practice for clinicians to use multiple informant (MI) data in studies of statistical mediation. By coupling the use of MI data with statistical mediation analysis, clinical researchers can combine the benefits of both techniques. Integrating the information from MIs into a statistical mediation model creates various methodological and practical challenges. The authors review prior methodological approaches to MI mediation analysis in clinical research and propose a new latent variable approach that overcomes some limitations of prior approaches. An application of the new approach to mother, father, and child reports of impulsivity, frustration tolerance, and externalizing problems (N = 454) is presented. The results showed that frustration tolerance mediated the relationship between impulsivity and externalizing problems. The new approach allows for a more comprehensive and effective use of MI data when testing mediation models.

Patients' satisfaction with community treatment: a pilot cross-sectional survey adopting multiple perspectives

ACCESSIBLE SUMMARY

Patients' satisfaction is scarcely studied within the context of community treatment for adolescents. Thus, this study adopts a multiple perspective on patients' satisfaction (including service users as well as staff members). The results highlighted that all informants (patients, foster carers in foster homes and professional caregivers from community treatment teams) perceived the patients to be satisfied, with foster carers reporting the highest patient satisfaction rate. Considering the patient satisfaction rate from multiple perspectives provides complementary understandings. Clinical outcomes and, specifically, a reduction in emotional difficulties were related to patient's satisfaction, but only from the patients' perspective.

ABSTRACT

Community treatment (CT) teams in Switzerland provide care to patients who are unable to use regular child and adolescent mental health services (i.e. inpatient and outpatients facilities). No study has considered patients' self-rated satisfaction alongside with staff members' perspectives on patient satisfaction. Thus, adopting a cross-sectional survey design, we collected patients' satisfaction using the Client Satisfaction Questionnaire (CSQ-8), rated by multiple informants (patients, foster carers in foster homes and professional caregivers from CT teams). Professional caregivers assessed clinical outcomes using the Health of the Nation Outcome Scale for Children and Adolescents. The results indicated that all informants were satisfied with the community treatment teams. The satisfaction scores were not correlated across informants; however, the alleviation of emotional symptoms was correlated with patients' satisfaction. This study indicated that the use of a combined approach including the views of service users and professionals gives important complementary information. Finally, in our sample, lower emotional symptoms were linked to enhanced patient satisfaction. This study demonstrated the importance of considering multiple perspectives to obtain the most accurate picture of patients' satisfaction. Second, focusing on the reduction of emotional symptoms might lead to a higher degree of patients' satisfaction.

The validity of the multi-informant approach to assessing child and adolescent mental health

Child and adolescent patients may display mental health concerns within some contexts and not others (e.g., home vs. school). Thus, understanding the specific contexts in which patients display concerns may assist mental health professionals in tailoring treatments to patients' needs. Consequently, clinical assessments often include reports from multiple informants who vary in the contexts in which they observe patients' behavior (e.g., patients, parents, teachers). Previous meta-analyses indicate that informants' reports correlate at low-to-moderate magnitudes. However, is it valid to interpret low correspondence among reports as indicating that patients display concerns in some contexts and not others? We meta-analyzed 341 studies published between 1989 and 2014 that reported cross-informant correspondence estimates, and observed low-to-moderate correspondence (mean internalizing: r = .25; mean externalizing: r = .30; mean overall: r = .28). Informant pair, mental health domain, and measurement method moderated magnitudes of correspondence. These robust findings have informed the development of concepts for interpreting multi-informant assessments, allowing researchers to draw specific predictions about the incremental and construct validity of these assessments. In turn, we critically evaluated research on the incremental and construct validity of the multi-informant approach to clinical child and adolescent assessment. In so doing, we identify crucial gaps in knowledge for future research, and provide recommendations for "best practices" in using and interpreting multi-informant assessments in clinical work and research. This article has important implications for developing personalized approaches to clinical assessment, with the goal of informing techniques for tailoring treatments to target the specific contexts where patients display concerns. (PsycINFO Database Record

Analysis of partially observed clustered data using generalized estimating equations and multiple imputation

Clustered data arise in many settings, particularly within the social and biomedical sciences. As an example, multiple-source reports are commonly collected in child and adolescent psychiatric epidemiologic studies where researchers use various informants (e.g. parent and adolescent) to provide a holistic view of a subject's symptomatology. Fitzmaurice et al. (1995) have described estimation of multiple source models using a standard generalized estimating equation (GEE) framework. However, these studies often have missing data due to additional stages of consent and assent required. The usual GEE is unbiased when missingness is Missing Completely at Random (MCAR) in the sense of Little and Rubin (2002). This is a strong assumption that may not be tenable. Other options such as weighted generalized estimating equations (WEEs) are computationally challenging when missingness is non-monotone. Multiple imputation is an attractive method to fit incomplete data models while only requiring the less restrictive Missing at Random (MAR) assumption. Previously estimation of partially observed clustered data was computationally challenging however recent developments in Stata have facilitated their use in practice. We demonstrate how to utilize multiple imputation in conjunction with a GEE to investigate the prevalence of disordered eating symptoms in adolescents reported by parents and adolescents as well as factors associated with concordance and prevalence. The methods are motivated by the Avon Longitudinal Study of Parents and their Children (ALSPAC), a cohort study that enrolled more than 14,000 pregnant mothers in 1991-92 and has followed the health and development of their children at regular intervals. While point estimates were fairly similar to the GEE under MCAR, the MAR model had smaller standard errors, while requiring less stringent assumptions regarding missingness.

Assessing eating disorder symptoms in adolescence: is there a role for multiple informants?

OBJECTIVES

Studies of adolescent psychiatric disorders often collect information from adolescents and parents, yet most eating disorder epidemiologic studies only rely on adolescent report.

METHOD

We studied the eating disorder symptom reports, from questionnaires sent at participants' ages 14 and 16 years, provided by 7,968 adolescents from the Avon Longitudinal Study of Parents and Children (ALSPAC), and their parents. Adolescents and parents were asked questions about the adolescent's eating disorder symptoms (binge eating, vomiting, laxative use, fasting, and thinness). We assessed cross-sectional concordance and prevalence using kappa coefficients and generalized estimating equations. Generalized estimating equations were used to assess prospective associations between symptom reports and adolescent weight outcomes measured at a face-to-face assessment at 17.5 years.

RESULTS

Parents and adolescents were largely discordant on symptom reports cross-sectionally (kappas < 0.3), with the parent generally less likely to report bulimic symptoms than the adolescent but more likely to report thinness. Female adolescents were more likely to report bulimic symptoms than males (e.g., two to four times more likely to report binge eating), while prevalence estimates according to parent reports of female vs. male adolescents were similar. Both informants' symptom reports were predictive of body mass and composition measures at 17.5 years; compared to adolescent report, parentally reported binge eating was more strongly predictive of body mass index.

DISCUSSION

Parent report of eating disorder symptoms seemed to measure different, but potentially important, aspects of these symptoms during adolescence. Epidemiologic eating disorder studies should consider the potential value added from incorporating parental reports, particularly in studies of males.

Hierarchical multiple informants models: examining food environment contributions to the childhood obesity epidemic

Methods for multiple informants help to estimate the marginal effect of each multiple source predictor and formally compare the strength of their association with an outcome. We extend multiple informant methods to the case of hierarchical data structures to account for within cluster correlation. We apply the proposed method to examine the relationship between features of the food environment near schools and children's body mass index z-scores (BMIz). Specifically, we compare the associations between two different features of the food environment (fast food restaurants and convenience stores) with BMIz and investigate how the association between the number of fast food restaurants or convenience stores and child's BMIz varies across distance from a school. The newly developed methodology enhances the types of research questions that can be asked by investigators studying effects of environment on childhood obesity and can be applied to other fields.

Multiple informant agreement of child, parent, and teacher ratings of child anxiety within community samples

OBJECTIVE

Extant research concerning the degree of multiple informant (that is, parent, clinician, teacher, and child) agreement for child anxiety ratings generally uses clinical samples, and results have been mixed.

METHOD

Our study used a community sample of public school children (n = 1039) to investigate child (self), parent, and teacher reports of child anxiety across 3 time points (pretreatement, posttreatment, and follow-up) in 3 independent school prevention and intervention trials.

RESULTS

Results showed that parents and teachers had high informant agreement for ratings on anxiety across the 3 time points (r = 0.95 to 0.96, P < 0.001); agreement between parent and child (self) reports and between teacher and child (self) reports consistently showed lower agreement across the 3 time points (r = 0.14 and 0.28, respectively, P < 0.001). Group differences were also significant for sex and grade, whereby females more commonly self-reported higher anxiety and children in grades 3 and 4 self-reported higher anxiety, compared with students in grades 5 to 7.

CONCLUSION

Correlations between parent and teacher with child ratings were poor over 3 time points, and significant differences were found for sex and grade. Research is needed to understand reasons for poor concordance between parent, child, and teacher ratings of anxiety for all children.

Discrepancies between parent and adolescent beliefs about daily life topics and performance on an emotion recognition task

Parents and children and adolescents commonly disagree in their perceptions of a variety of behaviors, including the family relationship and environment, and child and adolescent psychopathology. To this end, numerous studies have examined to what extent increased discrepant perceptions-particularly with regard to perceptions of the family relationship and environment-predict increased child and adolescent psychopathology. Parents' and children and adolescents' abilities to decode and identify others' emotions (i.e., emotion recognition) may play a role in the link between discrepant perceptions and child and adolescent psychopathology. We examined parents' and adolescents' emotion recognition abilities in relation to discrepancies between parent and adolescent perceptions of daily life topics. In a sample of 50 parents and adolescents ages 14-to-17 years (M = 15.4 years, 20 males, 54 % African-American), parents and adolescents were each administered a widely used performance-based measure of emotion recognition. Parents and adolescents were also administered a structured interview designed to directly assess each of their perceptions of the extent to which discrepancies existed in their beliefs about daily life topics (e.g., whether adolescents should complete their homework and carry out household chores). Interestingly, lower parent and adolescent emotion recognition performance significantly related to greater parent and adolescent perceived discrepant beliefs about daily life topics. We observed this relation whilst accounting for adolescent age and gender and levels of parent-adolescent conflict. These findings have important implications for understanding and using informant discrepancies in both basic developmental psychopathology research and applied research in clinic settings (e.g., discrepant views on therapeutic goals).

Statistical methods to study timing of vulnerability with sparsely sampled data on environmental toxicants

BACKGROUND

Identifying windows of vulnerability to environmental toxicants is an important area in children's health research.

OBJECTIVE

We compared and contrasted statistical approaches that may help identify windows of vulnerability by formally testing differences in exposure effects across time of exposure, incorporating continuous time metrics for timing of exposure, and efficiently incorporating incomplete cases.

METHODS

We considered four methods: 1) window-specific and simultaneously adjusted regression; 2) multiple informant models; 3) using features of individual exposure patterns to predict outcomes; and 4) models of population exposure patterns depending on the outcome. We illustrate them using a study of prenatal vulnerability to lead in relation to Bayley's Mental Development Index at 24 months of age (MDI24).

RESULTS

The estimated change in MDI24 score with a 1-loge-unit increase in blood lead during the first trimester was -2.74 [95% confidence interval (CI), -5.78 to 0.29] based on a window-specific regression. The corresponding change in MDI24 was -4.13 (95% CI, -7.54 to -0.72) based on a multiple informant model; estimated effects were similar across trimesters (p = 0.23). Results from method 3 suggested that blood lead levels in early pregnancy were significantly associated with reduced MDI24, but decreasing blood leads over the course of pregnancy were not. Method 4 results indicated that blood lead levels before 17 weeks of gestation were lower among children with MDI24 scores in the 90th versus the 10th percentile (p = 0.08).

CONCLUSIONS

Method 2 is preferred over method 1 because it enables formal testing of differences in effects across a priori-defined windows (e.g., trimesters of pregnancy). Methods 3 and 4 are preferred over method 2 when there is large variability in the timing of exposure assessments among participants. Methods 3 and 4 yielded smaller p-values for tests of the hypothesis that not only level but also timing of lead exposure are relevant predictors of MDI24; systematic power comparisons are warranted.

Internal consistency and associated characteristics of informant discrepancies in clinic referred youths age 11 to 17 years

In this study, we examined the internal consistency of informant discrepancies in reports of youth behavior and emotional problems and their unique relations with youth, caregiver, and family characteristics. In a heterogeneous multisite clinic sample of 420 youths (ages 11-17 years), high internal consistency estimates were observed across measures of informant discrepancies. Further, latent profile analyses identified systematic patterns of discrepancies, characterized by their magnitude and direction (i.e., which informant reported greater youth problems). In addition, informant discrepancies systematically and uniquely related to informants' own perspectives of youth mood problems, and these relations remained significant after taking into account multiple informants' reports of informant characteristics widely known to relate to informant discrepancies. These findings call into question the prevailing view of informant discrepancies as indicative of unreliability and/or bias on the part of informants' reports of youths' behavior.

The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models

Multiple-source data are often collected to provide better information of some underlying construct that is difficult to measure or likely to be missing. In this article, we describe regression-based methods for analyzing multiple-source data in Stata. We use data from the BROMS Cohort Study, a cohort of Swedish adolescents who collected data on body mass index that was self-reported and that was measured by nurses. We draw together into a single frame of reference both source reports and relate these to smoking onset. This unified method has two advantages over traditional approaches: 1) the relative predictiveness of each source can be assessed and 2) all subjects contribute to the analysis. The methods are applicable to other areas of epidemiology where multiple-source reports are used.

Developmental trajectories of physical aggression: prediction of overt and covert antisocial behaviors from self- and mothers' reports

Physical aggression declines for the majority of children from preschool to elementary school. Although this desistance generally continues during adolescence and early adulthood, a small group of children maintain a high level of physical aggression over time and develop other serious overt and covert antisocial behaviors. Typically, researchers have examined relations of developmental changes in physical aggression to later violence with teachers' or mothers' reports on surveys. Little is known about the degree to which children's self-reported physical aggression predicts later antisocial behavior. The longitudinal study in this article had a staggered, multiple cohort design. Measures of physical aggression were collected through self- and mother reports from age 11-14 years, which were used to construct trajectory groups (attrition was 6 and 14% from age 11-14, respectively, for self- and mother reports). Overt and covert antisocial behaviors were self-reported at age 18-19 years (attrition was 36% from age 11 to 18-19). Four trajectory groups (low stable, 11%; moderate-low declining, 34%; moderate declining, 39%; high stable, 16%) were identified from self-reports, whereas three trajectories (low declining, 33%; moderate declining, 49%; high stable, 18%) were identified from mothers' ratings. We examined the prediction of overt and covert antisocial behaviors in early adulthood from the high stable and the moderate declining trajectories. According to both informants, higher probability of belonging to the high stable group was associated with higher overt and covert antisocial behavior, whereas higher probability of belonging to the moderate declining group was associated with higher covert antisocial behavior. Our results support the value of children's as well as mothers' reports of children's aggression for predicting different types of serious antisocial behavior in adulthood.

Incorporating missingness for estimation of marginal regression models with multiple source predictors

Multiple informant data refers to information obtained from different individuals or sources used to measure the same construct; for example, researchers might collect information regarding child psychopathology from the child's teacher and the child's parent. Frequently, studies with multiple informants have incomplete observations; in some cases the missingness of informants is substantial. We introduce a Maximum Likelihood (ML) technique to fit models with multiple informants as predictors that permits missingness in the predictors as well as the response. We provide closed form solutions when possible and analytically compare the ML technique to the existing Generalized Estimating Equations (GEE) approach. We demonstrate that the ML approach can be used to compare the effect of the informants on response without standardizing the data. Simulations incorporating missingness show that ML is more efficient than the existing GEE method. In the presence of MCAR missing data, we find through a simulation study that the ML approach is robust to a relatively extreme departure from the normality assumption. We implement both methods in a study investigating the association between physical activity and obesity with activity measured using multiple informants (children and their mothers).

Marginal regression models with a time to event outcome and discrete multiple source predictors

Information from multiple informants is frequently used to assess psychopathology. We consider marginal regression models with multiple informants as discrete predictors and a time to event outcome. We fit these models to data from the Stirling County Study; specifically, the models predict mortality from self report of psychiatric disorders and also predict mortality from physician report of psychiatric disorders. Previously, Horton et al. found little relationship between self and physician reports of psychopathology, but that the relationship of self report of psychopathology with mortality was similar to that of physician report of psychopathology with mortality. Generalized estimating equations (GEE) have been used to fit marginal models with multiple informant covariates; here we develop a maximum likelihood (ML) approach and show how it relates to the GEE approach. In a simple setting using a saturated model, the ML approach can be constructed to provide estimates that match those found using GEE. We extend the ML technique to consider multiple informant predictors with missingness and compare the method to using inverse probability weighted (IPW) GEE. Our simulation study illustrates that IPW GEE loses little efficiency compared with ML in the presence of monotone missingness. Our example data has non-monotone missingness; in this case, ML offers a modest decrease in variance compared with IPW GEE, particularly for estimating covariates in the marginal models. In more general settings, e.g., categorical predictors and piecewise exponential models, the likelihood parameters from the ML technique do not have the same interpretation as the GEE. Thus, the GEE is recommended to fit marginal models for its flexibility, ease of interpretation and comparable efficiency to ML in the presence of missing data.

Assessing missed opportunities for HIV testing in medical settings

BACKGROUND

Many HIV-infected persons learn about their diagnosis years after initial infection. The extent to which missed opportunities for HIV testing occur in medical evaluations prior to one's HIV diagnosis is not known.

DESIGN

We performed a 10-year retrospective chart review of patients seen at an HIV intake clinic between January 1994 and June 2001 who 1). tested positive for HIV during the 12 months prior to their presentation at the intake clinic and 2). had at least one encounter recorded in the medical record prior to their HIV-positive status. Data collection included demographics, clinical presentation, and whether HIV testing was recommended to the patient or addressed in any way in the clinical note. Prespecified triggers for physicians to recommend HIV testing, such as specific patient characteristics, symptoms, and physical findings, were recorded for each visit. Multivariable logistic regression was used to identify factors associated with missed opportunities for discussion of HIV testing. Generalized estimating equations were used to account for multiple visits per subject.

RESULTS

Among the 221 patients meeting eligibility criteria, all had triggers for HIV testing found in an encounter note. Triggers were found in 50% (1702/3424) of these 221 patients' medical visits. The median number of visits per patient prior to HIV diagnosis to this single institution was 5; 40% of these visits were to either the emergency department or urgent care clinic. HIV was addressed in 27% of visits in which triggers were identified. The multivariable regression model indicated that patients were more likely to have testing addressed in urgent care clinic (39%), sexually transmitted disease clinic (78%), primary care clinics (32%), and during hospitalization (47%), compared to the emergency department (11%), obstetrics/gynecology (9%), and other specialty clinics (10%) (P <.0001). More recent clinical visits (1997-2001) were more likely to have HIV addressed than earlier visits (P <.0001). Women were offered testing less often than men (P =.07).

CONCLUSIONS

Missed opportunities for addressing HIV testing remain unacceptably high when patients seek medical care in the period before their HIV diagnosis. Despite improvement in recent years, variation by site of care remained important. In particular, the emergency department merits consideration for increased resource commitment to facilitate HIV testing. In order to detect HIV infection prior to advanced immunosuppression, clinicians must become more aware of clinical triggers that suggest a patient's increased risk for this infection and lower the threshold at which HIV testing is recommended.