[The impact of social media on youths with anorexia nervosa]. / De impact van sociale media op anorexia nervosa.

OBJECTIVE: To describe the impact of social media on youths with severe anorexia nervosa. DESIGN: Qualitative study. METHOD: Through semi-structured interviews with eleven youths diagnosed with anorexia nervosa, opinions and experiences surrounding the impact of social media on anorexia nervosa were collected, coded and analyzed using thematic analysis. RESULTS: Social media are often used to compensate for social isolation or misunderstandings about anorexia nervosa from friends and family. Motivated youths experience recovery communities as helpful against social isolation and a good place to find motivation for recovery. Negative aspects of social media include the idealization of unhealthy body types, the competition to have the most severe anorexia and the ease with which pro-ana content is found online and imposes itself. CONCLUSION: Preventive measures, including education about the dangers of social media can protect youths with anorexia nervosa in their social media use. Isolation from social media may lead to further social isolation.

A multi-omics data analysis workflow packaged as a FAIR Digital Object.

BACKGROUND: Applying good data management and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles in research projects can help disentangle knowledge discovery, study result reproducibility, and data reuse in future studies. Based on the concepts of the original FAIR principles for research data, FAIR principles for research software were recently proposed. FAIR Digital Objects enable discovery and reuse of Research Objects, including computational workflows for both humans and machines. Practical examples can help promote the adoption of FAIR practices for computational workflows in the research community. We developed a multi-omics data analysis workflow implementing FAIR practices to share it as a FAIR Digital Object. FINDINGS: We conducted a case study investigating shared patterns between multi-omics data and childhood externalizing behavior. The analysis workflow was implemented as a modular pipeline in the workflow manager Nextflow, including containers with software dependencies. We adhered to software development practices like version control, documentation, and licensing. Finally, the workflow was described with rich semantic metadata, packaged as a Research Object Crate, and shared via WorkflowHub. CONCLUSIONS: Along with the packaged multi-omics data analysis workflow, we share our experiences adopting various FAIR practices and creating a FAIR Digital Object. We hope our experiences can help other researchers who develop omics data analysis workflows to turn FAIR principles into practice.

Integrative multi-omics analysis of genomic, epigenomic, and metabolomics data leads to new insights for Attention-Deficit/Hyperactivity Disorder.

The evolving field of multi-omics combines data and provides methods for simultaneous analysis across several omics levels. Here, we integrated genomics (transmitted and non-transmitted polygenic scores [PGSs]), epigenomics, and metabolomics data in a multi-omics framework to identify biomarkers for Attention-Deficit/Hyperactivity Disorder (ADHD) and investigated the connections among the three omics levels. We first trained single- and next multi-omics models to differentiate between cases and controls in 596 twins (cases = 14.8%) from the Netherlands Twin Register (NTR) demonstrating reasonable in-sample prediction through cross-validation. The multi-omics model selected 30 PGSs, 143 CpGs, and 90 metabolites. We confirmed previous associations of ADHD with glucocorticoid exposure and the transmembrane protein family TMEM, show that the DNA methylation of the MAD1L1 gene associated with ADHD has a relation with parental smoking behavior, and present novel findings including associations between indirect genetic effects and CpGs of the STAP2 gene. However, out-of-sample prediction in NTR participants (N = 258, cases = 14.3%) and in a clinical sample (N = 145, cases = 51%) did not perform well (range misclassification was [0.40, 0.57]). The results highlighted connections between omics levels, with the strongest connections between non-transmitted PGSs, CpGs, and amino acid levels and show that multi-omics designs considering interrelated omics levels can help unravel the complex biology underlying ADHD.

Do parental attachment and prosocial behavior moderate the impairment from depression symptoms in adolescents who seek mental health care?

We investigated parental attachment and prosocial behavior as social protective indicators in adolescents (age 11­17) with symptoms of depression in a clinical setting. Specifically, we tested the moderating effect of these factors on the relation between symptoms of depression and their impairment on daily life. The Development and Well-Being Assessment, as completed by children, mothers, and fathers, was used, and hierarchical multiple regression analyses were conducted for these three perspectives. From the adolescents' reports, we only found a significant effect of symptoms on impairment, indicating that a higher number of symptoms were related to higher impairment. For the mothers and fathers, a higher score on the adolescents' prosocial behavior was related to a lower impairment from depression symptoms on the daily life of the adolescent and the family. Only for the mothers did a higher score on prosocial behavior buffer the effect of symptoms on impairment, while a higher parental attachment score was associated with a lower impairment. Further, when examining maternal and paternal attachment separately, only the mothers reported less impairment when perceiving that the adolescent was attached to the father. Paternal attachment even buffered the effect of symptoms on impairment. To conclude, our results indicate that social protective factors, from the parent's perspective, are likely to have a beneficial effect in clinical practice and should be taken into account when examining impairment scores. Future studies should investigate whether additional protective indicators from the adolescents' perspective, such as quality of parental attachment or family climate, may have a positive impact on their daily functioning.

Psychological, behavioural, and physical aspects of caregiver strain in autism-caregivers: a cohort study.

Background: People who give care to autistic individuals (autism-caregivers) experience higher levels of caregiver strain than people who provide care for individuals with other chronic conditions (non-autism-caregivers). This places them at higher risk for psychological, behavioural and physical health concerns. The aim of this study is to delineate psychological, behavioural, and physical aspects of caregiver strain in autism-caregivers compared to non-autism-caregivers. Methods: We included 3354 adult caregivers from the general population in the Netherlands participating in the second assessment (January, 1, 2014-December, 31, 2017) of the Lifelines Cohort. In this cohort study, using multivariable regression adjusted for age, sex, and socioeconomic status, we analysed psychological (anxiety and depression based on a Mini International Neuropsychiatric Interview, and self-reported stress and perceived health), behavioural (questionnaire-assessed physical activity, alcohol use, and smoking), and physical aspects (body mass index, waist circumference, and leukocyte-counts) of caregiver strain in autism-caregivers (n = 722) compared with non-autism-caregivers (n = 2632). Findings: Autism-caregivers reported more stress (OR 3.61, 95% CI 2.60-4.99). Both anxiety (OR 1.85, 95% CI 1.37-2.49) and depressive disorders (OR 1.83, 95% CI 1.17-2.86) were more common in autism-caregivers than in non-autism-caregivers. Perceived health, physical activity, alcohol use, and smoking were not different between autism- and non-autism-caregivers. In autism-caregivers, lymphocyte- and monocyte-counts were lower than in non-autism-caregivers. Interpretation: In this large cohort, autism-caregivers had worse psychological health than non-autism-caregivers. Moreover, autism-caregiving might be associated with an altered immune balance. These findings underline the higher caregiver strain in autism-caregivers compared to other caregivers. This calls for increased support to autism-caregivers. Funding: Lifelines has been funded by the Dutch government.

Likelihood of identifying autistic traits with the autism spectrum quotient (AQ) in male juveniles with autism spectrum disorder (ASD) and severe behavioral problems (SBPs).

BACKGROUND: When screening for autism spectrum disorders (ASD), the Autism Spectrum Quotient (AQ) is generally considered to be useful. Whether the AQ is also a suitable screener for ASD in juveniles with severe behavioral problems (SBPs) is unknown. Due to the overlap of symptoms between ASD and SBPs, particularly in juveniles low on empathy, the screening capacity of the AQ might be constrained. The aim of the present study was to investigate whether (comorbid) SBPs affect the screening capacity of the AQ. The hypothesis is that male juveniles with SBPs - but without a diagnosis of ASD - will score higher than male juveniles without both SBPs and ASD. METHOD: The AQ was completed by 216 male juveniles aged 15-18 years treated at an outpatient department of child and adolescent psychiatry. The 216 participants were categorized into four groups according to a clinical diagnosis of ASD and SBPs (defined as disruptive behavior disorder and/or delinquent behavior). Using multinomial logistic regression, we investigated whether the four identified groups, based on a diagnosis of ASD and SBPs, scored differently for the total score and subscales of the AQ. RESULTS: Participants in the group with ASD (ASD+) but without SBPs (SBP-) were more likely to report higher levels of autistic traits than the reference group without both ASD and SBPs (ASD-SBP-), except for the subscale on attention to detail (ASD+SBP- OR = 1.04; 95%CI = 0.98-1.11). Participants in the group with both ASD and SBPs were more likely to report higher levels for the total AQ score (ASD+SBP+ OR = 1.03; 95%CI = 1.00-1.05) and the communication subscale of the AQ (ASD+SBP+ OR = 1.18; 95%CI = 1.07-1.31) than the reference group without both ASD and SBPs. CONCLUSION: In outpatient male juveniles, SBPs do not affect the screening capacity of the AQ for autistic traits. In spite of the well-known overlap of symptoms between ASD and SBPs, male juveniles with SBPs but without a diagnosis of ASD do not score higher on the AQ than male juveniles without SBPs and without a diagnosis of ASD.

Improving Collaboration Between Youth Peer Support Workers and Non-peer Colleagues in Child and Adolescent Mental Health Services.

The involvement of youth peer workers (YPSWs) in child and adolescent mental health services (CAMHS) stimulates hope, destigmatization, and more culturally and developmentally appropriate support. Nevertheless, the collaboration between YPSWs and non-peer colleagues remains challenging, as it requires services to embed a new type of expert into practice. To stimulate the involvement of YPSWs in practice, this study reports on 27 semi-structured interviews with YPSWs and non-peer colleagues to provide insight into the barriers and facilitators in the collaboration process. The study took place in the Netherlands. A total of 10 interviews with YPSWs, and 17 interviews with non-peer colleagues in different healthcare occupations in CAMHS were conducted. Overall, the participants perceived relatively more barriers compared to facilitators in the collaboration process. Barriers to operate efficiently with YPSWs in multidisciplinary teams included: condescending attitudes and professional stigma towards YPSWs; concerns for YPSW boundaries; bureaucratic and clinical language usage by non-peer colleagues; conflicts due to different sets of expertise; and, lack of role clarity and guidelines for YPSWs. To improve the partnership between YPSWs and non-peer colleagues, participants described the importance of supervision and monitoring of YPSW activities. Moreover, participants also stressed the need for clear guidelines, and introduction and evaluation sessions to facilitate the collaboration process. While YPSWs seem to be an asset to CAMHS, there are a number of barriers to overcome. To overcome these barriers, organizational commitment, supervision (especially from peer colleagues), flexibility by non-peer colleagues, training non-peer staff to support YPSWs, and consistent evaluation of the implementation of YPSWs in services is recommended.

The impact of the COVID-19 pandemic on psychiatric emergency consultations in adolescents.

BACKGROUND: There is growing evidence that the COVID-19 pandemic, and its associated social distancing measures, affect adolescents' mental health. We wanted to examine whether and how the number and characteristics of adolescents' psychiatric emergency presentations have changed throughout the pandemic. METHODS: We extracted data from the records of 977 psychiatric emergency consultations of adolescents aged 12- 19 who had been referred to the mobile psychiatric emergency services in Rotterdam, the Netherlands between January 1st 2018 and January1st 2022. Demographic, contextual, and clinical characteristics were recorded. Time-series-analyses were performed using quasi-Poisson Generalized Linear Model to examine the effect of the first and second COVID-19 lockdown on the number of psychiatric emergency consultations, and to explore differences between boys and girls and internalizing versus externalizing problems. RESULTS: The number of psychiatric emergency consultations regarding adolescents increased over time: from about 13 per month in 2018 to about 29 per month in 2021. During the COVID-19 pandemic, the increase was tempered. In the second wave a pronounced increase of psychiatric emergencies among adolescents with internalizing problems but not with externalizing problems was found. CONCLUSION: Despite the reported increase of mental health problems in adolescents during the COVID-19 pandemic, we did find a smaller increase in psychiatric emergency consultations in this group then would be expected considering the overall trend. Besides changes in help-seeking and access to care, a possible explanation may be that a calmer, more orderly existence, or more parental supervision led to less psychiatric emergency situations in this age group. In the second wave the number of emergency consultations increased especially among girls with internalizing problems. While there has been a particular fall in emergency referrals of adolescents with externalizing problems since the start of the pandemic it is still too early to know whether this is a structural phenomenon. It would be important to elucidate whether the changes in emergency referrals reflect a true change in prevalence of urgent internalizing and externalizing problems in adolescents during the pandemic or a problem related to access to care.

Integrative Multi-omics Analysis of Childhood Aggressive Behavior.

This study introduces and illustrates the potential of an integrated multi-omics approach in investigating the underlying biology of complex traits such as childhood aggressive behavior. In 645 twins (cases = 42%), we trained single- and integrative multi-omics models to identify biomarkers for subclinical aggression and investigated the connections among these biomarkers. Our data comprised transmitted and two non-transmitted polygenic scores (PGSs) for 15 traits, 78,772 CpGs, and 90 metabolites. The single-omics models selected 31 PGSs, 1614 CpGs, and 90 metabolites, and the multi-omics model comprised 44 PGSs, 746 CpGs, and 90 metabolites. The predictive accuracy for these models in the test (N = 277, cases = 42%) and independent clinical data (N = 142, cases = 45%) ranged from 43 to 57%. We observed strong connections between DNA methylation, amino acids, and parental non-transmitted PGSs for ADHD, Autism Spectrum Disorder, intelligence, smoking initiation, and self-reported health. Aggression-related omics traits link to known and novel risk factors, including inflammation, carcinogens, and smoking.

Neurobiological correlates of antisociality across adolescence and young adulthood: a multi-sample, multi-method study.

BACKGROUND: Antisociality across adolescence and young adulthood puts individuals at high risk of developing a variety of problems. Prior research has linked antisociality to autonomic nervous system and endocrinological functioning. However, there is large heterogeneity in antisocial behaviors, and these neurobiological measures are rarely studied conjointly, limited to small specific studies with narrow age ranges, and yield mixed findings due to the type of behavior examined. METHODS: We harmonized data from 1489 participants (9-27 years, 67% male), from six heterogeneous samples. In the resulting dataset, we tested relations between distinct dimensions of antisociality and heart rate, pre-ejection period (PEP), respiratory sinus arrhythmia, respiration rate, skin conductance levels, testosterone, basal cortisol, and the cortisol awakening response (CAR), and test the role of age throughout adolescence and young adulthood. RESULTS: Three dimensions of antisociality were uncovered: 'callous-unemotional (CU)/manipulative traits', 'intentional aggression/conduct', and 'reactivity/impulsivity/irritability'. Shorter PEPs and higher testosterone were related to CU/manipulative traits, and a higher CAR is related to both CU/manipulative traits and intentional aggression/conduct. These effects were stable across age. CONCLUSIONS: Across a heterogeneous sample and consistent across development, the CAR may be a valuable measure to link to CU/manipulative traits and intentional aggression, while sympathetic arousal and testosterone are additionally valuable to understand CU/manipulative traits. Together, these findings deepen our understanding of the fundamental mechanisms underlying different components of antisociality. Finally, we illustrate the potential of using current statistical techniques for combining multiple datasets to draw robust conclusions about biobehavioral associations.

General practitioners' everyday clinical decision-making on psychosocial problems of children and youth in the Netherlands.

BACKGROUND: Psychosocial problems in children and youth are common and may negatively impact their lives and the lives of their families. Since general practitioners (GPs) play a crucial role in detecting and intervening in such problems, it is clinically necessary to improve our insight into their clinical decision-making (CDM). The objective of this study was to explore which mechanisms underlie GPs' everyday CDM and their options for management or referral. MATERIAL AND METHODS: This was a mixed methods study in which qualitative (interview substudy) and quantitative (online survey substudy) data were collected from GPs. Using a question framework and vignettes representative of clinical practice, GPs' CDM was explored. GPs were selected by means of an academic research network and purposive sampling. Data collection continued in constant comparison between both substudies. Using grounded theory, data from both substudies were triangulated into a flowchart consisting of mechanisms and management/referral options. RESULTS: CDM-mechanisms were divided into three groups. GP-related mechanisms were GPs' primary approach of the problem (somatically or psychosocially) and their self-assessed competence to solve the problem based on interest in and knowledge about youth mental health care. Mechanisms related to the child and its social context included GPs' assessment whether there was psychiatric (co)morbidity, their sense of self-limitedness of the problem and assessed complexity of the problem. Whether GPs' had existing collaboration agreements with youth care providers and how they experienced their collaboration were collaboration-related mechanisms. CONCLUSION: The current study contributes to a relatively unexplored research area by revealing GP's in-depth thought processes regarding their CDM. However, existing research in this area supports the identified CDM mechanisms. Future initiatives should focus on validating CDM mechanisms in a larger population. If confirmed, mechanisms could be integrated into GP training and may offer guidelines for regulating proper access to mental health care services.

Offence type and neurodiversity: A comparison of 12-17-year-old boys charged with a criminal offence by diagnosis of autism spectrum disorder, attention deficit hyperactivity disorder or both.

BACKGROUND: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) have been evidenced as common among adolescents with delinquent behaviour. Less is known, however, about the relationship between these disorders and type of alleged offence, when the adolescent is involved with the criminal justice system. AIM: Our aim was to investigate whether the type of alleged index offences among 12-17-year-olds differ between those diagnosed with ASD, ADHD or ASD + ADHD. METHOD: The sample was selected for ASD and/or ADHD diagnoses from a database of all pre-trial forensic psychiatric and psychological assessments of male adolescents of 12-17 years old in the Netherlands for the years 2013 and 2014. For each record, independent researchers scored a 76-item checklist encompassing health and offending characteristics. Sixty-nine of the 1799 pre-trial assessments of these male adolescents had a diagnosis of ASD, 90 of ADHD and 29 had been diagnosed with both; these 188 cases formed our sample. RESULTS: The rate of sex offences was significantly higher among those with ASD (N = 20, 29%) than those with ADHD (N = 10, 11%) or both (N = 4, 14%; Fisher's exact test = 8.54; p = 0.014). By contrast, the rate of property offences without violence was significantly higher among those with ADHD (N = 22, 24%) than those with ASD (N = 4, 6%) or both (N = 5, 17%; Fisher's exact test = 10.50, p = 0.004), whereas violent offending rates did not differ between the three groups. CONCLUSION: Specific offence types were not equally distributed among male adolescents with different psychiatric diagnoses. In our sample of male adolescents suspected of an offence nearly one-third of those diagnosed with ASD were convicted of a sex offence, suggesting highly specialised needs for further assessment and intervention. Among those diagnosed with ADHD, significantly more adolescents were charged with non-violent property offences. Such unequal distribution of alleged offence types among adolescents with different psychiatric diagnoses justifies tailor-made attention for offending adolescents with different psychiatric diagnoses.

Stress, Eating Behavior and Adverse Health in Parents of Young Children with Autism Spectrum Disorder.

Mothers of children with Autism Spectrum Disorder (ASD) often experience chronic stress and are at risk for adverse health. However, little is known about fathers, especially when their child is in early childhood. Parenting stress, eating behavior and physical health was evaluated in mothers (n = 48) and fathers (n = 43) of young children (3-7 years) with ASD by questionnaires and physical measurements. Mother's prevalence rates of obesity (39.1%), abdominal obesity (59.6%) and metabolic syndrome (21.6%) were higher than the norm. In fathers, the prevalence rate of clinical parenting stress (33%) was higher than the norm. Parenting stress was positively related to disinhibited eating in mothers, not in fathers. It is crucial to monitor stress and health of parents of children with ASD.

A comparison of methods to harmonize cortical thickness measurements across scanners and sites.

Results of neuroimaging datasets aggregated from multiple sites may be biased by site-specific profiles in participants' demographic and clinical characteristics, as well as MRI acquisition protocols and scanning platforms. We compared the impact of four different harmonization methods on results obtained from analyses of cortical thickness data: (1) linear mixed-effects model (LME) that models site-specific random intercepts (LMEINT), (2) LME that models both site-specific random intercepts and age-related random slopes (LMEINT+SLP), (3) ComBat, and (4) ComBat with a generalized additive model (ComBat-GAM). Our test case for comparing harmonization methods was cortical thickness data aggregated from 29 sites, which included 1,340 cases with posttraumatic stress disorder (PTSD) (6.2-81.8 years old) and 2,057 trauma-exposed controls without PTSD (6.3-85.2 years old). We found that, compared to the other data harmonization methods, data processed with ComBat-GAM was more sensitive to the detection of significant case-control differences (Χ2(3) = 63.704, p < 0.001) as well as case-control differences in age-related cortical thinning (Χ2(3) = 12.082, p = 0.007). Both ComBat and ComBat-GAM outperformed LME methods in detecting sex differences (Χ2(3) = 9.114, p = 0.028) in regional cortical thickness. ComBat-GAM also led to stronger estimates of age-related declines in cortical thickness (corrected p-values < 0.001), stronger estimates of case-related cortical thickness reduction (corrected p-values < 0.001), weaker estimates of age-related declines in cortical thickness in cases than controls (corrected p-values < 0.001), stronger estimates of cortical thickness reduction in females than males (corrected p-values < 0.001), and stronger estimates of cortical thickness reduction in females relative to males in cases than controls (corrected p-values < 0.001). Our results support the use of ComBat-GAM to minimize confounds and increase statistical power when harmonizing data with non-linear effects, and the use of either ComBat or ComBat-GAM for harmonizing data with linear effects.

Comparing Treatment Outcomes in Children and Adolescents With ADHD to Other Disorders Within an Australian and Dutch Outpatient Cohort.

OBJECTIVE: Previous studies at child and youth mental health services (CYMHS) suggest that children with ADHD have poorer outcomes compared to those with other diagnoses. This study investigates this in more detail. METHODS: Children with ADHD were compared to those with ASD and those with emotional disorders, on routinely collected outcomes at CYMHS in Australia (N = 2,513) and the Netherlands (N = 844). RESULTS: Where the emotional disorders group reached a similar level of emotional symptoms at the end-of-treatment as the ADHD and ASD groups, the latter two groups still had higher scores on ADHD and ASD symptoms (attention and peer problems). The poorer outcomes were mainly explained by higher severity at baseline. In Australia, an ADHD and/or ASD diagnosis also independently contributed to worse outcomes. CONCLUSION: Those with neurodevelopmental disorders within both countries had poorer outcomes than those with emotional disorders. Services should aim to optimize treatment to ensure best possible outcomes.

Heritability of Urinary Amines, Organic Acids, and Steroid Hormones in Children.

Variation in metabolite levels reflects individual differences in genetic and environmental factors. Here, we investigated the role of these factors in urinary metabolomics data in children. We examined the effects of sex and age on 86 metabolites, as measured on three metabolomics platforms that target amines, organic acids, and steroid hormones. Next, we estimated their heritability in a twin cohort of 1300 twins (age range: 5.7-12.9 years). We observed associations between age and 50 metabolites and between sex and 21 metabolites. The monozygotic (MZ) and dizygotic (DZ) correlations for the urinary metabolites indicated a role for non-additive genetic factors for 50 amines, 13 organic acids, and 6 steroids. The average broad-sense heritability for these amines, organic acids, and steroids was 0.49 (range: 0.25-0.64), 0.50 (range: 0.33-0.62), and 0.64 (range: 0.43-0.81), respectively. For 6 amines, 7 organic acids, and 4 steroids the twin correlations indicated a role for shared environmental factors and the average narrow-sense heritability was 0.50 (range: 0.37-0.68), 0.50 (range; 0.23-0.61), and 0.47 (range: 0.32-0.70) for these amines, organic acids, and steroids. We conclude that urinary metabolites in children have substantial heritability, with similar estimates for amines and organic acids, and higher estimates for steroid hormones.

Clinical decision support methods for children and youths with mental health disorders in primary care.

BACKGROUND: Mental health disorders among children and youths are common and often have negative consequences for children, youths, and families if unrecognized and untreated. With the goal of early recognition, primary care physicians (PCPs) play a significant role in the detection and referral of mental disorders. However, PCPs report several barriers related to confidence, knowledge, and interdisciplinary collaboration. Therefore, initiatives have been taken to assist PCPs in their clinical decision-making through clinical decision support methods (CDSMs). OBJECTIVES: This review aimed to identify CDSMs in the literature and describe their functionalities and quality. METHODS: In this review, a search strategy was performed to access all available studies in PubMed, PsychINFO, Embase, Web of Science, and COCHRANE using keywords. Studies that involved CDSMs for PCP clinical decision-making regarding psychosocial or psychiatric problems among children and youths (0-24 years old) were included. The search was conducted according to PRISMA-Protocols. RESULTS: Of 1,294 studies identified, 25 were eligible for inclusion and varied in quality. Eighteen CDSMs were described. Fourteen studies described computer-based methods with decision support, focusing on self-help, probable diagnosis, and treatment suggestions. Nine studies described telecommunication methods, which offered support through interdisciplinary (video) calls. Two studies described CDSMs with a combination of components related to the two CDSM categories. CONCLUSION: Easy-to-use CDSMs of good quality are valuable for advising PCPs on the detection and referral of children and youths with mental health disorders. However, valid multicentre research on a combination of computer-based methods and telecommunication is still needed.

Mental health problems among children and youths are common and have impacts, not only on the person affected but also on families and communities. They are often not recognized and acted upon by primary care providers (PCPs), such as general practitioners. This may be due to a lack of confidence in talking to young people or insufficient knowledge about mental health problems. PCPs make decisions about managing or referring these problems to mental health specialists, which can be assisted through clinical decision support methods (CDSMs). CDSMs can be divided into electronic and non-electronic. This study provided an overview of both types of CDSMs. We focused on the capabilities of CDSMs and how they help PCPs in their decision-making. More than half of the reviewed CDSMs were electronic CDSMs; several CDSMs involved telecommunication between PCPs and mental health specialists. Two of the CDSMs comprised a combination of components of both types of CDSMs. CDSMs offered patients more information about their health while providing PCPs with suggestions for their decision-making.

Psychiatric Emergencies in Minors: The Impact of Sex and Age.

OBJECTIVE: Little information is available on young children (age 4-12 years) with mental health problems who are seen by the psychiatric emergency services. We therefore described this population to identify (1) variables that differentiated children from those aged 13 to 18 years who had been referred for psychiatric emergency consultation; and (2) to describe sex differences. METHOD: We extracted data for a 9-year period from the records of the mobile psychiatric emergency services in 2 urban areas in the Netherlands. In this period, 79 children aged 4 to 12 years (37.2% girls) and 1695 children aged 12 to 18 years (62.2% girls) had been referred for psychiatric emergency consultation. Demographic and process factors were recorded. Clinical characteristics included diagnostic and statistical manual of mental disorders, 4th edition classifications and the Severity of Psychiatric Illness scale. Logistic regression analyses were used to examine differences between the girls and boys in the 2 age groups. RESULTS: Young children aged 4 to 12 years had been involved in 4.5% of all consultations of minors. In contrast with adolescents, a higher percentage of young children seen for emergency consultation were boys, and a lower percentage was admitted to a psychiatric hospital (7.7%). In boys and girls alike, a DSM classification of behavioral disorder was associated with younger age. CONCLUSIONS: The young group of children referred for psychiatric emergency consultation comprised relatively more children with behavioral disorders. Decisions to refer them for urgent psychiatric consultation seemed to be influenced by the suspicion of psychotic symptoms or of danger to themselves or others.

The diagnostic process from primary care to child and adolescent mental healthcare services: the incremental value of information conveyed through referral letters, screening questionnaires and structured multi-informant assessment.

BACKGROUND: A variety of information sources are used in the best-evidence diagnostic procedure in child and adolescent mental healthcare, including evaluation by referrers and structured assessment questionnaires for parents. However, the incremental value of these information sources is still poorly examined. AIMS: To quantify the added and unique predictive value of referral letters, screening, multi-informant assessment and clinicians' remote evaluations in predicting mental health disorders. METHOD: Routine medical record data on 1259 referred children and adolescents were retrospectively extracted. Their referral letters, responses to the Strengths and Difficulties Questionnaire (SDQ), results on closed-ended questions from the Development and Well-Being Assessment (DAWBA) and its clinician-rated version were linked to classifications made after face-to-face intake in psychiatry. Following multiple imputations of missing data, logistic regression analyses were performed with the above four nodes of assessment as predictors and the five childhood disorders common in mental healthcare (anxiety, depression, autism spectrum disorders, attention-deficit hyperactivity disorder, behavioural disorders) as outcomes. Likelihood ratio tests and diagnostic odds ratios were computed. RESULTS: Each assessment tool significantly predicted the classified outcome. Successive addition of the assessment instruments improved the prediction models, with the exception of behavioural disorder prediction by the clinician-rated DAWBA. With the exception of the SDQ for depressive and behavioural disorders, all instruments showed unique predictive value. CONCLUSIONS: Structured acquisition and integrated use of diverse sources of information supports evidence-based diagnosis in clinical practice. The clinical value of structured assessment at the primary-secondary care interface should now be quantified in prospective studies.

Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium.

BACKGROUND: Posttraumatic stress disorder (PTSD) is accompanied by disrupted cortical neuroanatomy. We investigated alteration in covariance of structural networks associated with PTSD in regions that demonstrate the case-control differences in cortical thickness (CT) and surface area (SA). METHODS: Neuroimaging and clinical data were aggregated from 29 research sites in >1300 PTSD cases and >2000 trauma-exposed control subjects (ages 6.2-85.2 years) by the ENIGMA-PGC (Enhancing Neuro Imaging Genetics through Meta Analysis-Psychiatric Genomics Consortium) PTSD working group. Cortical regions in the network were rank ordered by the effect size of PTSD-related cortical differences in CT and SA. The top-n (n = 2-148) regions with the largest effect size for PTSD > non-PTSD formed hypertrophic networks, the largest effect size for PTSD < non-PTSD formed atrophic networks, and the smallest effect size of between-group differences formed stable networks. The mean structural covariance (SC) of a given n-region network was the average of all positive pairwise correlations and was compared with the mean SC of 5000 randomly generated n-region networks. RESULTS: Patients with PTSD, relative to non-PTSD control subjects, exhibited lower mean SC in CT-based and SA-based atrophic networks. Comorbid depression, sex, and age modulated covariance differences of PTSD-related structural networks. CONCLUSIONS: Covariance of structural networks based on CT and cortical SA are affected by PTSD and further modulated by comorbid depression, sex, and age. The SC networks that are perturbed in PTSD comport with converging evidence from resting-state functional connectivity networks and networks affected by inflammatory processes and stress hormones in PTSD.