Most multi‑problem young adults (18–27 years old) have been exposed to childhood maltreatment and/or have been involved in juvenile delinquency and, therefore, could have had Child Protection Service (CPS) interference during childhood. The extent to which their childhood problems persist and evolve into young adult‑ hood may differ substantially among cases. This might indicate heterogeneous profiles of CPS risk factors. These pro‑ files may identify combinations of closely interrelated childhood problems which may warrant specific approaches for problem recognition and intervention in clinical practice. The aim of this study was to retrospectively identify distinct statistical classes based on CPS data of multi‑problem young adults in The Netherlands and to explore whether these classes were related to current psychological dysfunctioning and delinquent behaviour. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
MULTIFILE
Hedonic (happiness) and eudaimonic (meaning in life) well-being are negatively related to depressive symptoms. Genetic variants play a role in this association, reflected in substantial genetic correlations. We investigated the overlap and differences between well-being and depressive symptoms, using results of Genome-Wide Association studies (GWAS) in UK Biobank. Subtracting GWAS summary statistics of depressive symptoms from those of happiness and meaning in life, we obtained GWASs of respectively “pure” happiness (neffective = 216,497) and “pure” meaning (neffective = 102,300). For both, we identified one genome-wide significant SNP (rs1078141 and rs79520962, respectively). After subtraction, SNP heritability reduced from 6.3% to 3.3% for pure happiness and from 6.2% to 4.2% for pure meaning. The genetic correlation between the well-being measures reduced from 0.78 to 0.65. Pure happiness and pure meaning became genetically unrelated to traits strongly associated with depressive symptoms, including loneliness, and psychiatric disorders. For other traits, including ADHD, educational attainment, and smoking, the genetic correlations of well-being versus pure well-being changed substantially. GWAS-by-subtraction allowed us to investigate the genetic variance of well-being unrelated to depressive symptoms. Genetic correlations with different traits led to new insights about this unique part of well-being. Our results can be used as a starting point to test causal relationships with other variables, and design future well-being interventions.
MULTIFILE
Abstract Purpose In mental health care, patients and their care providers may conceptualize the nature of the disorder and appropriate action in profoundly diferent ways. This may lead to dropout and lack of compliance with the treatments being provided, in particular in young patients with more severe disorders. This study provides detailed information about patient–provider (dis)agreement regarding the care needs of children and adolescents. Methods We used the Camberwell Assessment of Need (CANSAS) to assess the met and unmet needs of 244 patients aged between 6 and 18 years. These needs were assessed from the perspectives of both patients and their care providers. Our primary outcome measure was agreement between the patient and care provider on unmet need. By comparing a general outpatient sample (n=123) with a youth-ACT sample (n=121), we were able to assess the infuence of severity of psychiatric and psychosocial problems on the extent of agreement on patient’s unmet care needs. Results In general, patients reported unmet care needs less often than care providers did. Patients and care providers had the lowest extents of agreement on unmet needs with regard to “mental health problems” (k=0.113) and “information regarding diagnosis/treatment” (k=0.171). Comparison of the two mental healthcare settings highlighted diferences for three-quarters of the unmet care needs that were examined. Agreement was lower in the youth-ACT setting. Conclusions Clarifcation of diferent views on patients’ unmet needs may help reduce nonattendance of appointments, noncompliance, or dropout. Routine assessment of patients’ and care providers’ perceptions of patients’ unmet care needs may also help provide information on areas of disagreement.
