Publications by authors named "Ian Goodyer"

Article Synopsis
  • This study looked at how to predict if young people will commit crimes by using special computer programs called machine learning models.!
  • They tested these models on 679 kids aged 11-17 who were showing bad behavior and found that one of the models worked best at predicting future crimes.!
  • The results suggest that machine learning can help experts make better decisions about how to help these young people avoid trouble with the law.!
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Friendships increase mental wellbeing and resilient functioning in young people with childhood adversity (CA). However, the mechanisms of this relationship are unknown. We examined the relationship between perceived friendship quality at age 14 after the experience of CA and reduced affective and neural responses to social exclusion at age 24.

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A longstanding proposal in developmental research is that childhood family experiences provide a template that shapes a capacity for trust-based social relationships. We leveraged longitudinal data from a cohort of healthy adolescents (n = 570, aged 14-25), which included decision-making and psychometric data, to characterise normative developmental trajectories of trust behaviour and inter-individual differences therein. Extending on previous cross-sectional findings from the same cohort, we show that a task-based measure of trust increases longitudinally from adolescence into young adulthood.

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Childhood adversity is one of the strongest predictors of adolescent mental illness. Therefore, it is critical that the mechanisms that aid resilient functioning in individuals exposed to childhood adversity are better understood. Here, we examined whether resilient functioning was related to structural brain network topology.

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Bifactor models are increasingly being utilized to study latent constructs such as psychopathology and cognition, which change over the lifespan. Although longitudinal measurement invariance (MI) testing helps ensure valid interpretation of change in a construct over time, this is rarely and inconsistently performed in bifactor models. Our review of MI simulation literature revealed that only one study assessed MI in bifactor models under limited conditions.

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This paper summarizes the results of the Improving Mood with Psychoanalytic and Cognitive Therapies (IMPACT) study and its implications for psychological treatment of adolescents with moderate to severe unipolar major depression. IMPACT was a pragmatic, superiority, randomized controlled trial conducted in the United Kingdom, which compared the clinical and cost-effectiveness of short-term psychoanalytic therapy (STPP), cognitive-behavioral therapy (CBT), and a brief psychosocial intervention (BPI) in reducing depression symptoms in 465 adolescents with unipolar major depression, aged 11 to 17 years. Although this was a clinically heterogeneous group of adolescents, some symptoms (eg, sleep and concentration difficulties, irritability/anger) were common and disabling.

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This secondary analysis of data collected in a randomized controlled trial (RCT) for the treatment of depression in adolescents aimed to test prediction models relating antidepressant (AD) initiation to clinical variables. The primary study was an RCT where adolescents (ages 11-17) with depression were assigned one of three outpatient psychotherapies over 86 weeks. The current study tested five registered prediction models using data on adolescents not taking ADs at baseline ( = 337).

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Background: Children and young people (CYP) with comorbid physical and/or mental health conditions often struggle to receive a timely diagnosis, access specialist mental health care, and more likely to report unmet healthcare needs. Integrated healthcare is an increasingly explored model to support timely access, quality of care and better outcomes for CYP with comorbid conditions. Yet, studies evaluating the effectiveness of integrated care for paediatric populations are scarce.

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Background: To interact successfully with their environment, humans need to build a model to make sense of noisy and ambiguous inputs. An inaccurate model, as suggested to be the case for people with psychosis, disturbs optimal action selection. Recent computational models, such as active inference, have emphasized the importance of action selection, treating it as a key part of the inferential process.

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Background: Insufficient sleep has been associated with weight gain and metabolic dysregulation, with one suggested mechanism being through reduction in diet quality. Experimental evidence supports a causal effect of sleep timings on diet but this may not be applicable to a free-living adolescent population. In this analysis we use daily measures of sleep timings and diet quality, to examine the effect of sleep duration and timing on diet quality the following day among free-living adolescents.

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Few studies assessing the effects of COVID-19 on mental health include prospective markers of risk and resilience necessary to understand and mitigate the combined impacts of the pandemic, lockdowns, and other societal responses. This population-based study of young adults includes individuals from the Neuroscience in Psychiatry Network (n = 2403) recruited from English primary care services and schools in 2012-2013 when aged 14-24. Participants were followed up three times thereafter, most recently during the initial outbreak of the COVID-19 outbreak when they were aged between 19 and 34.

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Investing in strangers in a socio-economic exchange is risky, as we may be uncertain whether they will reciprocate. Nevertheless, the potential rewards for cooperating can be great. Here, we used a cross sectional sample (n = 784) to study how the challenges of cooperation versus defection are negotiated across an important period of the lifespan: from adolescence to young adulthood (ages 14 to 25).

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Sexual differences in human brain development could be relevant to sex differences in the incidence of depression during adolescence. We tested for sex differences in parameters of normative brain network development using fMRI data on = 298 healthy adolescents, aged 14 to 26 years, each scanned one to three times. Sexually divergent development of functional connectivity was located in the default mode network, limbic cortex, and subcortical nuclei.

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Background: Sleep deprivation in adolescence is increasing in prevalence and may be linked to subsequent depression. Findings regarding associations between sleep duration, sleep onset time, and the development of depressive symptoms over time in adolescents are mixed, and rely on subjective measures of sleep.

Methods: Sleep onset and duration were assessed using a combined heart rate monitor and accelerometer and self-report in 688 participants from the ROOTS study at age 15.

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Background: There is growing concern about how people with eating disorders are impacted by the widespread societal restructuring during the COVID-19 crisis.

Aims: We aimed to examine how factors relating to the impact of the pandemic associate with eating disorders and quantify this relationship while adjusting for concurrent and longitudinal parameters of risk.

Methods: We gathered demographic, behavioral and clinical data pre- and mid-pandemic as well as childhood trauma history from a longitudinal online survey of 489 adults (mean age 23.

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Background: Major depression is clinically heterogeneous. We aimed to identify classes of depressed adolescents with different symptom presentations and examine if these were differentially associated with illness severity, functioning, engagement with treatment, and clinical outcomes.

Method: Baseline depression symptoms of 454 depressed adolescents (age 11-17) from the IMPACT trial were subjected to latent class analysis.

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Impulsive and compulsive problem behaviours are associated with a variety of mental disorders. Latent phenotyping indicates the expression of impulsive and compulsive problem behaviours is predominantly governed by a transdiagnostic 'disinhibition' phenotype. In a cohort of 117 individuals, recruited as part of the Neuroscience in Psychiatry Network (NSPN), we examined how brain functional connectome and network properties relate to disinhibition.

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Characterizing patterns of mental phenomena in epidemiological studies of adolescents can provide insight into the latent organization of psychiatric disorders. This avoids the biases of chronicity and selection inherent in clinical samples, guides models of shared aetiology within psychiatric disorders and informs the development and implementation of interventions. We applied Gaussian mixture modelling to measures of mental phenomena from two general population cohorts: the Avon Longitudinal Study of Parents and Children (ALSPAC, n = 3018) and the Neuroscience in Psychiatry Network (NSPN, n = 2023).

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Although hopelessness has been linked to depression for centuries, the diagnostic criteria for depression are inconsistent with regard to the status of hopelessness. Most research on hopelessness and depression has focused on adults. The current study examined this relation in children and adolescents.

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Adolescents are prone to social influence from peers, with implications for development, both adaptive and maladaptive. Here, using a computer-based paradigm, we replicate a cross-sectional effect of more susceptibility to peer influence in a large dataset of adolescents 14 to 24 years old. Crucially, we extend this finding by adopting a longitudinal perspective, showing that a within-person susceptibility to social influence decreases over a 1.

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