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Many adolescents with diverse sexual orientations lead happy and fulfilled lives. However, evidence consistently suggests elevated rates of mental health difficulties in this population relative to heterosexual peers, and internalization of stigma (i.e., self-stigma) is implicated in these elevated rates. This study aimed to understand and describe the lived experience of self-stigma with respect to participants’ sexual orientations.
Mental ill-health, substance use and their co-occurrence among sexuality diverse young people during earlier adolescence is relatively understudied. The preventive utility of positive school climate for sexuality diverse adolescents' mental health is also unclear, as well as the role of teachers in conferring this benefit.
Family carers of youth recovering from early psychosis experience significant stress; however, access to effective family interventions is poor. Digital interventions provide a promising solution.
Although school-based delivery of online interventions can effectively prevent depression and other common mental disorders, little is known about the characteristics of students who engage with these programs. This study aimed to identify predictors of two indicators of adolescent engagement (program usage and skill enactment) with a school-based online depression prevention program. The study also explored the association between skill enactment and mental health outcomes.
This study was guided by three research aims: firstly, to examine the longitudinal trends of health-related quality of life (HR-QoL) among gender and sexuality diverse (LGBTQA2S+) young people through adolescence (ages 14-19); secondly, to assess longitudinal associations between poor mental health and HR-QoL among LGBTQA2S+ young people through adolescence; and thirdly, to examine differences in HR-QoL among LGBTQA2S+ young people during early adolescence (ages 14 and 15) depending on select school-, peer-, and parent-level factors.
Abstract: To examine the association between mental health workforce supply and spatial clusters of high versus low incidence of youth suicide.
Up to one-third of young people live with chronic physical conditions (eg, diabetes, asthma, and autoimmune disease) that frequently involve recurrent pain, fatigue, activity limitations, stigma, and isolation.
Our previous cross-sectional investigation (Chetcuti et al., 2020) showed that infants with autism traits could be divided into distinct subgroups based on temperament. This longitudinal study builds on this existing work by exploring the continuity of temperament subgroup classifications and their associations with behavioral/clinical phenotypic features from infancy to toddlerhood.
Natural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.
The aim of this research note is to encourage child language researchers and clinicians to give careful consideration to the use of domain-specific tests as a proxy for language; particularly in the context of large-scale studies and for the identification of language disorder in clinical practice.