Caregiver-reported newborn term and preterm motor abilities: psychometrics of the PediaTracTM Motor domain.

BACKGROUND: Approximately 5-10% of children exhibit developmental deviations in motor skills or other domains; however, physicians detect less than one-third of these abnormalities. Systematic tracking and early identification of motor deviations are fundamental for timely intervention. METHODS: Term and preterm neonates were prospectively assessed at the newborn (NB) period in a study of the psychometric properties of the Motor (MOT) domain of PediaTracTM v3.0, a novel caregiver-based development tracking instrument. Item response theory graded response modeling was used to model item parameters and estimate theta, an index of the latent trait, motor ability. Exploratory factor analysis (EFA) was conducted to examine the dimensionality and factor structure. RESULTS: In a cohort of 571 caregiver/infant dyads (331 term, 240 preterm), NB MOT domain reliability was high (rho = 0.94). Item discrimination and item difficulty of each of the 15 items could be reliably modeled across the range of motor ability. EFA confirmed that the items constituted a single dimension with second-order factors, accounting for 43.20% of variance. CONCLUSIONS: The latent trait, motor ability, could be reliably estimated at the NB period. IMPACT: The caregiver-reported Motor domain of PediaTrac provides a reliable estimate of the latent trait of motor ability during the newborn period. This is the first known caregiver-reported instrument that can assess motor ability in the newborn period with high reliability in term and preterm infants. Item response theory methods were employed that will allow for future characterization of developmental subgroups and motor trajectories. The PediaTrac Motor domain can support early identification of at-risk infants. Including caregivers in digital reporting and child-centered monitoring of motor functioning may improve access to care.

Longitudinal caregiver-reported motor development in infants born at term and preterm.

AIM: To examine the extent to which estimates of a latent trait or underlying construct of motor ability differ in infants born at term and preterm, based on caregiver ratings of the motor domain of PediaTrac v3.0. METHOD: The sample consisted of 571 caregiver-infant dyads (331 born at term, 240 born preterm), 48% female, with 51.7% of caregivers identifying as an ethnic minority. Latent trait of motor ability was estimated based on item response theory modeling. Gestational group differences (term and preterm birth) were examined at the newborn/term-equivalent, 2-, 4-, 6-, 9-, and 12-month time points. RESULTS: Caregiver ratings of latent trait of motor ability were reliably modeled across the range of abilities at each time point. While the group born preterm exhibited significantly more advanced motor abilities at the term-equivalent time point, by 6 months the group born at term was more advanced. Biological sex difference main and interaction effects were not significant. INTERPRETATION: Caregivers provided reliable, longitudinal estimates of motor ability in infancy, reflecting important differences in the motor development of infants born at term and preterm. The findings suggest that significant motor development occurs in infants born preterm from birth to the term-equivalent time point and provide a foundation to examine motor growth trajectories as potential predictors in the early identification of neurodevelopmental conditions and needs.

Medical-encounter mental health diagnoses, non-fatal injury and polypharmacy indicators of risk for accident death in the US Army enlisted soldiers, 2004-2009.

Accidents are a leading cause of deaths in U.S. active duty personnel. Understanding accident deaths during wartime could facilitate future operational planning and inform risk prevention efforts. This study expands prior research, identifying health risk factors associated with U.S. Army accident deaths during the Afghanistan and Iraq war. Military records for 2004-2009 enlisted, active duty, Regular Army soldiers were analyzed using logistic regression modeling to identify mental health, injury, and polypharmacy (multiple narcotic and/or psychotropic medications) predictors of accident deaths for current, previously, and never deployed groups. Deployed soldiers with anxiety diagnoses showed higher risk for accident deaths. Over half had anxiety diagnoses prior to being deployed, suggesting anticipatory anxiety or symptom recurrence may contribute to high risk. For previously deployed soldiers, traumatic brain injury (TBI) indicated higher risk. Two-thirds of these soldiers had first TBI medical-encounter while non-deployed, but mild, combat-related TBIs may have been undetected during deployments. Post-Traumatic Stress Disorder (PTSD) predicted higher risk for never deployed soldiers, as did polypharmacy which may relate to reasons for deployment ineligibility. Health risk predictors for Army accident deaths are identified and potential practice and policy implications discussed. Further research could test for replicability and expand models to include unobserved factors or modifiable mechanisms related to high risk. PTSD predicted high risk among those never deployed, suggesting importance of identification, treatment, and prevention of non-combat traumatic events. Finally, risk predictors overlapped with those identified for suicides, suggesting effective intervention might reduce both types of deaths.

Measuring Early Relational Health Using PediaTrac TM in a Diverse Sample of Infant-Caregiver Dyads.

OBJECTIVE: Early relational health (ERH) is a key developmental predictor and outcome in infancy and early childhood that reflects social-emotional well-being and promotes resilience throughout childhood. Currently, there is no gold-standard developmental screening tool for ERH in pediatric care settings. This study examined the psychometric properties of items assessing ERH that are part of a web-based, caregiver-report screening tool called PediaTrac TM . It was hypothesized that ERH could be reliably estimated and that second-order factors would be revealed within the latent construct ERH. METHOD: Participants included 571 caregivers of term (n = 331; ≥37 weeks) and preterm (n = 240; <37 weeks) infants recruited shortly after birth from several academic medical centers and a community health clinic. Caregivers completed PediaTrac modules at birth and 2, 4, 6, 9, 12, 15, and 18 months; data for this study are from the newborn through 12-month periods. RESULTS: Results from Item Response Theory Graded Response Modeling revealed excellent reliability for the PediaTrac ERH domain at all time points, ranging from 0.96 to 0.98. Exploratory factor analyses revealed 4 to 5 second-order factors, representing Parent-Child Relationship, Parent Distress, Parenting Stress, Parenting Efficacy, Sensitivity, and Perceptions of Child, depending on period. CONCLUSION: The caregiver-report developmental screening tool, PediaTrac, reliably measures ERH during the first year of life. The measure has promising clinical utility in pediatric clinic settings for tracking ERH over time to ensure early social-emotional well-being and to identify concerns as early as possible.

Convergent Validity Between the Motor Domain of PediaTracTM and Ages and Stages in Term and Preterm Infants at 2, 4, 6, and 9 Months of Age.

The primary aim of this study was to evaluate the convergent validity of the Motor domain (MOT) of PediaTracTM v3.0, an online developmental tracking instrument based on caregiver reports, with fine and gross motor domains (ASQ-FM and ASQ-GM) of the Ages and Stages Questionnaire (ASQ-3) in infants between 2- and 9 months of age. Participants were caregivers of 571 infants born term or preterm (gestational age <37 weeks) enrolled in a multi-site psychometric study of PediaTracTM. Findings revealed significant correlations between MOT and ASQ-3 scores at 2, 4, 6, and 9 months across time periods, term-preterm status, and biological sex. A significantly higher percentage of infants born preterm, compared with those born at term, was identified as a moderate or high risk on both the ASQ-3 and PediaTrac. Future investigations are warranted to further examine the psychometric properties of the MOT domain, including sensitivity, specificity, and positive and negative predictive value.

Caregiver-reported development in term and preterm infants from birth to nine months of age: Psychometrics of the PediaTracTM social/communication/cognition domain.

Term and preterm neonates were assessed at the newborn (NB) period (term, term equivalent) and at 2, 4, 6, and 9 months in a study of the psychometric properties of the Social/Communication/Cognition (SCG) domain of PediaTrac™ v3.0, a novel caregiver-based developmental monitoring instrument. Item response theory (IRT) was used to model item parameters and estimate theta, an index of the latent trait, social/communication/cognition. Exploratory factor analysis (EFA) was conducted to further clarify the dimensionality of the domain. In a cohort of 571 caregiver-infant dyads (331 term, 240 preterm), mean theta values could be reliably estimated at all time periods, with term infants demonstrating significantly more advanced social/communication/cognition abilities at 9 months of age. Item discrimination and item difficulty of the 15, 15, 35, 47, and 57 items at the NB, 2-, 4-, 6-, and 9-month periods, respectively, could be reliably modeled across the range of ability. Total Information for the SCG domain was high and the reliability ranged from 0.97 to 0.99 (NB = .98, 2 month = .97, 4 month = .98, 6 month = .99 and 9 month = .99). EFA revealed second-order factors at each time period, with two factors at the NB period (affect/emotional expression, social responsiveness) accounting for 43% of variance; three factors at 2, 4, and 6 months (affect/emotional expression, social responsiveness imitation/emerging communication), accounting for 43%, 34%, and 34% of the variance, respectively; and four factors at 9 months (imitation/communication, nonverbal/gestural communication, affect expression, and social responsiveness), accounting for 34% of the variance. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The influence of sociodemographic factors and response style on caregiver report of infant developmental status.

Caregiver report is the most feasible way to assess early childhood development but is susceptible to the influences of response style and sociodemographic factors. In a sample of 571 caregiver-infant dyads (47.8% female; 48% White), we compared caregiver reports on the Ages and Stages Questionnaire-Third Edition (ASQ-3) with reports on a novel, web-based assessment, PediaTrac™. Ratings on PediaTrac correlated with ratings on the ASQ-3 at all time points (2, 4, 6, and 9 months). Caregiver age, response style, and sociodemographic factors accounted for significant variance on both measures. Developmental reporting of early childhood skills is influenced by caregiver response style and sociodemographic factors. These influences must be considered in order to ensure the accurate identification of infant developmental status.

Recovery from PTSD following Hurricane Katrina.

BACKGROUND: We examined patterns and correlates of speed of recovery of estimated posttraumatic stress disorder (PTSD) among people who developed PTSD in the wake of Hurricane Katrina. METHOD: A probability sample of prehurricane residents of areas affected by Hurricane Katrina was administered a telephone survey 7-19 months following the hurricane and again 24-27 months posthurricane. The baseline survey assessed PTSD using a validated screening scale and assessed a number of hypothesized predictors of PTSD recovery that included sociodemographics, prehurricane history of psychopathology, hurricane-related stressors, social support, and social competence. Exposure to posthurricane stressors and course of estimated PTSD were assessed in a follow-up interview. RESULTS: An estimated 17.1% of respondents had a history of estimated hurricane-related PTSD at baseline and 29.2% by the follow-up survey. Of the respondents who developed estimated hurricane-related PTSD, 39.0% recovered by the time of the follow-up survey with a mean duration of 16.5 months. Predictors of slow recovery included exposure to a life-threatening situation, hurricane-related housing adversity, and high income. Other sociodemographics, history of psychopathology, social support, social competence, and posthurricane stressors were unrelated to recovery from estimated PTSD. CONCLUSIONS: The majority of adults who developed estimated PTSD after Hurricane Katrina did not recover within 18-27 months. Delayed onset was common. Findings document the importance of initial trauma exposure severity in predicting course of illness and suggest that pre- and posttrauma factors typically associated with course of estimated PTSD did not influence recovery following Hurricane Katrina.

A Latent Transition Analysis of Self-Reported Reasons for Marijuana Use During Young Adulthood.

Individuals' reasons for marijuana use have been linked to their risk for continued use and development of disordered use. Although individuals tend to have multiple reasons for use, co-occurrence of reasons is not always accounted for in analytic approaches. Latent transition analysis (LTA) is ideal for modeling transitions in co-occurring reasons. Using longitudinal panel data from Monitoring the Future, LTA was used to identify profiles of self-reported reasons for marijuana use among young adults, examine transitions between profiles, and determine whether cohort, gender, race/ethnicity, parent education, grade of first marijuana use, and 4-year college attendance predicted transitions between profiles. Data included senior year cohorts from 1976-2009 and were collected at ages 19/20, 21/22, and 23/24 (weighted n = 7,294; 55.9% female; 79.3% White). Five latent classes were identified: Non-Users and individuals with Experimental, Typical, Get High + Relax, and Escape + Coping Reasons. Transitions among Non-Users, Experimental Reasons, and Typical Reasons were common; generally, those with earlier cohort membership, early initiation, college non-attending parents, and college attendance were more likely to make transitions to higher-risk classes. As the legalization of recreational marijuana use continues to expand, change over time in reasons for use should be considered carefully as interventions are developed and implemented.

PediaTrac V.3.0 protocol: a prospective, longitudinal study of the development and validation of a web-based tool to measure and track infant and toddler development from birth through 18 months.

INTRODUCTION: The need for an efficient, low-cost, comprehensive measure to track infant/toddler development and treatment outcomes is critical, given the importance of early detection and monitoring. This manuscript describes the protocol for the development and testing of a novel measure, PediaTrac, that collects longitudinal, prospective, multidomain data from parents/caregivers to characterise infant/toddler developmental trajectories in term and preterm infants. PediaTrac, a web-based measure, has the potential to become the standard method for monitoring development and detecting risk in infancy and toddlerhood. METHODS AND ANALYSES: Using a multisite, prospective design, primarcaregivers will complete PediaTrac V.3.0, a survey tool that queries core domains of early development, including feeding/eating/elimination, sleep, sensorimotor, social/sensory information processing, social/communication/cognition and early relational health. Information also will be obtained about demographic, medical and environmental factors and embedded response bias indices are being developed as part of the measure. Using an approach that systematically measures infant/toddler developmental domains during a schedule that corresponds to well-child visits (newborn, 2, 4, 6, 9, 12, 15, 18 months), we will assess 360 caregiver/term infant dyads and 240 caregiver/preterm infant dyads (gestational age <37 weeks). Parameter estimates of our items and latent traits (eg, sensorimotor) will be estimated by theta using item response theory-graded response modelling. Participants also will complete legacy (ie, established) measures of development and caregiver health and functioning, used to provide evidence for construct (discriminant) validity. Predictive validity will be evaluated by examining relationships between the PediaTrac domains and the legacy measures in the total sample and in a subsample of 100 participants who will undergo a neurodevelopmental assessment at 24 months of age. ETHICS AND DISSEMINATION: This investigation has single Institutional Review Board (IRB) multisite approval from the University of Michigan (IRB HUM00151584). The results will be presented at prominent conferences and published in peer-reviewed scientific journals.

A latent class analysis of heavy substance use in Young adulthood and impacts on physical, cognitive, and mental health outcomes in middle age.

BACKGROUND: This study examines whether longitudinal patterns of persistent or experimental heavy substance use across young adulthood were associated with physical and mental health in midlife. METHODS: Data (N = 21,347) from Monitoring the Future from adolescence (age 18) to midlife (age 40) were used. Repeated measures latent class analysis modeled patterns of patterns of cigarettes, alcohol, marijuana, and other illicit drugs across young adulthood (ages 18-30). Latent classes were then used as predictors of physical health problems, cognitive problems, self-rated health, and psychological problems in midlife (age 40), while controlling for sociodemographic variables (i.e., gender, race/ethnicity, parental education). RESULTS: Identified classes were "Extreme Heavy Users" (3.9%), "Early Young Adult Users" (8.9%), "Cigarette Smokers" (9.2%), "All But Cigarette Smokers" (5.0%), "Frequent Alcohol Bingers" (10.4%), and "Not-Heavy Users" (62.6%). Extreme Heavy Users, Early Young Adult Users, and Cigarette Smokers had significantly poorer overall health based on a number of physical conditions and self-rated health. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers had more cognitive problems than other classes. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers were more likely to see a health professional for a psychological problem. CONCLUSIONS: Patterns of heavy substance use were associated with health across decades. Regular cigarette smokers and heavy users across substances and ages had the worst health in midlife, although even those with time-limited use during young adulthood were at risk for later physical and cognitive health problems.

COMBINING INFORMATION FROM MULTIPLE DATA SOURCES TO ASSESS POPULATION HEALTH.

Information about an extensive set of health conditions on a well-defined sample of subjects is essential for assessing population health, gauging the impact of various policies, modeling costs, and studying health disparities. Unfortunately, there is no single data source that provides accurate information about health conditions. We combine information from several administrative and survey data sets to obtain model-based dummy variables for 107 health conditions (diseases, preventive measures, and screening for diseases) for elderly (age 65 and older) subjects in the Medicare Current Beneficiary Survey (MCBS) over the fourteen-year period, 1999-2012. The MCBS has prevalence of diseases assessed based on Medicare claims and provides detailed information on all health conditions but is prone to underestimation bias. The National Health and Nutrition Examination Survey (NHANES), on the other hand, collects self-reports and physical/laboratory measures only for a subset of the 107 health conditions. Neither source provides complete information, but we use them together to derive model-based corrected dummy variables in MCBS for the full range of existing health conditions using a missing data and measurement error model framework. We create multiply imputed dummy variables and use them to construct the prevalence rate and trend estimates. The broader goal, however, is to use these corrected or modeled dummy variables for a multitude of policy analysis, cost modeling, and analysis of other relationships either using them as predictors or as outcome variables.

The effects of copayments on medication adherence during the first two years of prescription drug treatment.

OBJECTIVE: The aim of this study was to examine effects of initial prescription copayment size and observed increase on adherence by analyzing data from a managed care database. METHODS: Medical-pharmacy claims data were abstracted from the Integrated Health Care Information Services (IHCIS) National Managed Care Benchmark database for primary employer-sponsored subscribers. Incident fills and refills for the 10 most common medication groups between 2001 and 2003 were predicted by size and observed increase in copayment with the use of survival analysis. RESULTS: High copayments and observed copayment increases were associated with termination of medication use. Whereas effects of copayment level were limited to the first few fills, effects of observed increases in copayments were persistent. CONCLUSIONS: The strategy of increasing initially low copayments after the patient has made enough fills to become insensitive to copayment level is contraindicated by observed increases in copayment, predicting termination. However, other financial incentives might nonetheless help reduce early termination of medication use.

The structure of adult ADHD.

Although DSM-5 stipulates that symptoms of attention-deficit hyperactivity disorder (ADHD) are the same for adults as children, clinical observations suggest that adults have more diverse deficits than children in higher-level executive functioning and emotional control. Previous psychometric analyses to evaluate these observations have been limited in ways addressed in the current study, which analyzes the structure of an expanded set of adult ADHD symptoms in three pooled US samples: a national household sample, a sample of health plan members, and a sample of adults referred for evaluation at an adult ADHD clinic. Exploratory factor analysis found four factors representing executive dysfunction/inattention (including, but not limited to, all the DSM-5 inattentive symptoms, with non-DSM symptoms having factor loadings comparable to those of DSM symptoms), hyperactivity, impulsivity, and emotional dyscontrol. Empirically-derived multivariate symptom profiles were broadly consistent with the DSM-5 inattentive-only, hyperactive/impulsive-only, and combined presentations, but with inattention including executive dysfunction/inattention and hyperactivity-only limited to hyperactivity without high symptoms of impulsivity. These results show that executive dysfunction is as central as DSM-5 symptoms to adult ADHD, while emotional dyscontrol is more distinct but nonetheless part of the combined presentation of adult ADHD.

The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5.

Importance: Recognition that adult attention-deficit/hyperactivity disorder (ADHD) is common, seriously impairing, and usually undiagnosed has led to the development of adult ADHD screening scales for use in community, workplace, and primary care settings. However, these scales are all calibrated to DSM-IV criteria, which are narrower than the recently developed DSM-5 criteria. Objectives: To update for DSM-5 criteria and improve the operating characteristics of the widely used World Health Organization Adult ADHD Self-Report Scale (ASRS) for screening. Design, Setting, and Participants: Probability subsamples of participants in 2 general population surveys (2001-2003 household survey [n = 119] and 2004-2005 managed care subscriber survey [n = 218]) who completed the full 29-question self-report ASRS, with both subsamples over-sampling ASRS-screened positives, were blindly administered a semistructured research diagnostic interview for DSM-5 adult ADHD. In 2016, the Risk-Calibrated Supersparse Linear Integer Model, a novel machine-learning algorithm designed to create screening scales with optimal integer weights and limited numbers of screening questions, was applied to the pooled data to create a DSM-5 version of the ASRS screening scale. The accuracy of the new scale was then confirmed in an independent 2011-2012 clinical sample of patients seeking evaluation at the New York University Langone Medical Center Adult ADHD Program (NYU Langone) and 2015-2016 primary care controls (n = 300). Data analysis was conducted from April 4, 2016, to September 22, 2016. Main Outcomes and Measures: The sensitivity, specificity, area under the curve (AUC), and positive predictive value (PPV) of the revised ASRS. Results: Of the total 637 participants, 44 (37.0%) household survey respondents, 51 (23.4%) managed care respondents, and 173 (57.7%) NYU Langone respondents met DSM-5 criteria for adult ADHD in the semistructured diagnostic interview. Of the respondents who met DSM-5 criteria for adult ADHD, 123 were male (45.9%); mean (SD) age was 33.1 (11.4) years. A 6-question screening scale was found to be optimal in distinguishing cases from noncases in the first 2 samples. Operating characteristics were excellent at the diagnostic threshold in the weighted (to the 8.2% DSM-5/Adult ADHD Clinical Diagnostic Scale population prevalence) data (sensitivity, 91.4%; specificity, 96.0%; AUC, 0.94; PPV, 67.3%). Operating characteristics were similar despite a much higher prevalence (57.7%) when the scale was applied to the NYU Langone clinical sample (sensitivity, 91.9%; specificity, 74.0%; AUC, 0.83; PPV, 82.8%). Conclusions and Relevance: The new ADHD screening scale is short, easily scored, detects the vast majority of general population cases at a threshold that also has high specificity and PPV, and could be used as a screening tool in specialty treatment settings.

Treatment and adequacy of treatment of mental disorders among respondents to the Mexico National Comorbidity Survey.

OBJECTIVE: This study described the rate and adequacy of mental health service use among participants in the Mexico National Comorbidity Survey and the correlates of any 12-month treatment and of adequate treatment. METHOD: The authors conducted face-to-face household surveys of a probability sample of individuals ages 18 to 65 years in the noninstitutionalized population living in urban areas of Mexico from 2001 to 2002. The use of mental health services and 12-month DSM-IV disorders was assessed with the World Mental Health version of the World Health Organization Composite International Diagnostic Interview. The rates and correlates of any service use and the adequacy of treatment were identified in logistic regression analyses, taking into account the complex sample design and weighting process. RESULTS: The data reported here were based on 2,362 interviews. Fewer than one in five respondents with any psychiatric disorder during the last 12 months used any service during the prior year. The rates of service use by those with mood disorders were somewhat higher. About one in every two respondents who used services received minimally adequate care. CONCLUSIONS: The authors found large unmet needs for mental health services among those with psychiatric disorders. Those with mental illness and those who deliver or seek to improve mental health care in Mexico face enormous challenges.

Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication.

CONTEXT: Little is known about lifetime prevalence or age of onset of DSM-IV disorders. OBJECTIVE: To estimate lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the recently completed National Comorbidity Survey Replication. DESIGN AND SETTING: Nationally representative face-to-face household survey conducted between February 2001 and April 2003 using the fully structured World Health Organization World Mental Health Survey version of the Composite International Diagnostic Interview. PARTICIPANTS: Nine thousand two hundred eighty-two English-speaking respondents aged 18 years and older. MAIN OUTCOME MEASURES: Lifetime DSM-IV anxiety, mood, impulse-control, and substance use disorders. RESULTS: Lifetime prevalence estimates are as follows: anxiety disorders, 28.8%; mood disorders, 20.8%; impulse-control disorders, 24.8%; substance use disorders, 14.6%; any disorder, 46.4%. Median age of onset is much earlier for anxiety (11 years) and impulse-control (11 years) disorders than for substance use (20 years) and mood (30 years) disorders. Half of all lifetime cases start by age 14 years and three fourths by age 24 years. Later onsets are mostly of comorbid conditions, with estimated lifetime risk of any disorder at age 75 years (50.8%) only slightly higher than observed lifetime prevalence (46.4%). Lifetime prevalence estimates are higher in recent cohorts than in earlier cohorts and have fairly stable intercohort differences across the life course that vary in substantively plausible ways among sociodemographic subgroups. CONCLUSIONS: About half of Americans will meet the criteria for a DSM-IV disorder sometime in their life, with first onset usually in childhood or adolescence. Interventions aimed at prevention or early treatment need to focus on youth.

Failure and delay in initial treatment contact after first onset of mental disorders in the National Comorbidity Survey Replication.

CONTEXT: An understudied crucial step in the help-seeking process is making prompt initial contact with a treatment provider after first onset of a mental disorder. OBJECTIVE: To provide data on patterns and predictors of failure and delay in making initial treatment contact after first onset of a mental disorder in the United States from the recently completed National Comorbidity Survey Replication. DESIGN AND SETTING: Nationally representative face-to-face household survey carried out between February 2001 and April 2003. PARTICIPANTS: A total of 9282 respondents aged 18 years and older. MAIN OUTCOME MEASURES: Lifetime DSM-IV disorders were assessed with the World Mental Health (WMH) Survey Initiative version of the World Health Organization Composite International Diagnostic Interview (WMH-CIDI), a fully structured interview designed to be administered by trained lay interviewers. Information about age of first professional treatment contact for each lifetime DSM-IV/WMH-CIDI disorder assessed in the survey was collected and compared with age at onset of the disorder to study typical duration of delay. RESULTS: Cumulative lifetime probability curves show that the vast majority of people with lifetime disorders eventually make treatment contact, although more so for mood (88.1%-94.2%) disorders than for anxiety (27.3%-95.3%), impulse control (33.9%-51.8%), or substance (52.7%-76.9%) disorders. Delay among those who eventually make treatment contact ranges from 6 to 8 years for mood disorders and 9 to 23 years for anxiety disorders. Failure to make initial treatment contact and delay among those who eventually make treatment contact are both associated with early age of onset, being in an older cohort, and a number of socio-demographic characteristics (male, married, poorly educated, racial/ethnic minority). CONCLUSIONS: Failure to make prompt initial treatment contact is a pervasive aspect of unmet need for mental health care in the United States. Interventions to speed initial treatment contact are likely to reduce the burdens and hazards of untreated mental disorder.

Clinical differences among patients treated for mental health problems in general medical and specialty mental health settings in the National Comorbidity Survey Replication.

OBJECTIVE: General medical (GM) treatments for mental health disorders are less likely than specialty mental health (SMH) treatments to be adequate. We explored whether differences in the clinical characteristics of patients treated in each sector (GM-only or SMH-only) or in both sectors (GM+SMH) may help to explain this finding. METHOD: We analyzed data from the National Comorbidity Survey Replication (NCS-R), a nationally representative household survey of 5692 English-speaking adult household residents that was carried out in 2001-2003. The NCS-R used a fully structured diagnostic interview to assess DSM-IV disorders, including mood, anxiety, impulse control and substance use disorders. We classified disorders in terms of a three-category severity gradient (serious, moderate and mild) based on information about clinically significant distress and role impairment. We collected self-report data on chronic physical conditions, sociodemographics and type of treatment received for emotional and substance use problems in the 12 months before the interview. RESULTS: Patients who received GM+SMH treatment had more severe mental disorders and a higher prevalence of mood and anxiety disorders than patients who received treatment in only one of the two sectors. Patients seen in the GM-only and GM+SMH sectors had more chronic physical conditions than patients seen in the SMH-only sector. CONCLUSION: Patient characteristics may partially explain the lower intensity and adequacy of GM treatment.

Reasons for Marijuana Use Among Young Adults and Long-Term Associations With Marijuana Use and Problems.

OBJECTIVE: This study examines reasons for marijuana use among young adults age 19/20 in the United States and the extent to which patterns of reasons are associated with marijuana use and problems 15 years later. METHOD: The national Monitoring the Future study provided data on marijuana users at age 19/20 who were also surveyed at age 35 (n = 2,288; 50% women; 83% White). Latent class analysis was used to identify distinct patterns of reasons for marijuana use, which were then used as predictors of later marijuana use and problems. RESULTS: Five latent classes described the following patterns of reasons for marijuana use at age 19/20: Experimental, Get High + Relax, Typical, Typical + Escape, and Coping + Drug Use. Highest risk for later marijuana use and problems was found for people with Coping + Drug Use and Get High + Relax reasons in young adulthood; those with Experimental reasons were at lowest risk for later use or problems. CONCLUSIONS: Coping and getting high emerged as strong predictors of later marijuana use and problems. Results support the predictive value of self-reported reasons for using marijuana among young adults.