Stress-related mental ill health and its disorders are considered by the World Health Organization (WHO) to be the new world epidemic and their prevalence rates seem to be increasing worldwide.To examine and identify sub-populations at risk for psychological discomfort in Northern Ireland and map the relative impact of potential predictors.A sample of 4,638 respondents to the NIHSW-2001 survey was analysed with latent class analysis and latent class factorial analysis. Latent class multinomial logistic regression assessed the impact of a range of predictors on class membership.Five sub-populations were differentiated. All subgroups at risk for anxiety and depression were characterized as being younger and female. Disability and adverse life events were strong predictors of risk. Long-standing illness and housing worries were predictors of medium and high risk membership. The effect of civil unrest was significant only for the medium-risk subgroup; marital status and income did not affect group membership.Because all five subgroups showed a different probability, but a similar profile of endorsing GHQ-12 items, it could be hypothesized that an underlying continuum dimension of anxiety and depression is present in the Northern Irish population.
Objective: Alcohol use problems are common during adolescence and can predict serious negative outcomes in adulthood, including substance dependence and psychopathology. The current study examines the notion that alcohol use problems are driven by polygenic influences and that genetic influences may indirectly affect alcohol use problems through multiple pathways of risk, including variations in personality. Method: We used a genome-wide approach to examine associations between genetic risk for alcohol use problems, personality dimensions, and adolescent alcohol use problems in two separate longitudinal population-based samples, the Finnish Twin Cohort (FinnTwin12) and the Avon Longitudinal Study of Parents and Children (ALSPAC). Participants were 1,035 young adults from FinnTwin12 and 3,160 adolescents from ALSPAC. Polygenic risk scores (PRS) were calculated for ALSPAC using genome-wide association results (on alcohol dependence symptoms as defined by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) from FinnTwin12. A parallel multiple mediator model was tested to examine whether the association between PRS and alcohol use problems assessed at age 16 could be explained by variations in personality dimensions assessed at age 13, including sensation seeking and negative emotionality. Results: PRS were marginally predictive of age 16 alcohol use problems; this association was partially mediated by sensation seeking. Polygenic variation underlying risk for alcohol use problems may directly influence the effects of sensation seeking, which in turn influence the development of alcohol use problems in later adolescence. Conclusions: These findings contribute to the increasing evidence regarding the salience of sensation seeking during early adolescence as a potential constituent in the risk pathway underlying the development of alcohol use problems.
Abstract Background There is mixed evidence for an association between autism spectrum disorder (ASD) and emotion recognition deficits. We sought to assess the bidirectionality of this association using phenotypic and genetic data in a large community sample. Methods Analyses were conducted in three stages. First, we examined the bidirectional association between autistic traits at age 8 years and emotion recognition task (ERT) responses at age 24 years (Study 1; N=3,562); and between Diagnostic Analysis of Non-Verbal Accuracy (DANVA) emotion recognition responses at age 8 years and autistic traits at age 10 years (Study 2; N=9,071). Next, we used genetic analyses (Study 3) to examine the association between polygenic risk scores for ASD and these phenotypes. The genetic correlation between ASD and ERT responses at age 24 was also estimated. Analyses were conducted in the Avon Longitudinal Study of Parents and Children. Results Autistic traits at age 8 years were negatively associated with later total correct responses on ERT in Study 1 (b=- 0.18; 95% CI: −0.27 to −0.09). We also found evidence of an association in Study 2 ( b =-0.04; 95% CI: −0.05 to −0.03). We found the opposite association i.e., positive, between the ASD polygenic risk score and ERT ( b =0.40; 95% CI: 0.10 to 0.70); however, this association varied across different p-value thresholds so should be interpreted with caution. We did not find evidence of a genetic correlation between ASD and ERT. Conclusion We found an observational association between poorer emotion recognition and increased autistic traits. Our genetic analyses revealed an association between ASD polygenic risk and the ERT outcome, which may suggest a shared genetic aetiology between these or a potential causal pathway. Our results may inform interventions targeting emotion recognition.
Evidence demonstrating an association between parental alcohol use and offspring alcohol use from robust prospective studies is lacking. We tested the direct and indirect associations between parental and young adult alcohol use via early alcohol initiation, parental monitoring and associating with deviant peers.Prospective birth cohort study. Path analysis was used to assess the possible association between parental alcohol use (assessed at 12 years) and alcohol use in young adults (assessed at 18 years) via potential mediators (assessed at 14 and 15.5 years, respectively).South West England.Data were available on 3785 adolescents and their parents from the Avon Longitudinal Study of Parents and Children.The continuous Alcohol Use Disorders Identification Test (AUDIT) score was used as the primary outcome measure. Maternal alcohol use was defined as light (< 4 units on any day), moderate (≥ 4 units on 1-3 days) and high-risk (≥ 4 units on ≥ 4 days in 1 week). Partner alcohol use was also defined as light, moderate and high risk. Socio-economic variables were included as covariates.There was strong evidence of a total effect from maternal alcohol use to young adult alcohol use [moderate: b = 1.07, 95% confidence interval (CI) = 0.64, 1.49, P < 0.001; high risk: b = 1.71, 95% CI = 1.07, 2.35, P < 0.001]. The majority of this association was explained through early alcohol initiation (moderate: b = 0.14, 95% CI = 0.04, 0.25, P = 0.01; high risk: b = 0.24, 95% CI = 0.07, 0.40, P < 0.01) and early alcohol initiation/associating with deviant peers (moderate: b = 0.06, 95% CI = 0.02, 0.10, P < 0.01; high risk: b = 0.10, 95% CI = 0.03, 0.16, P < 0.01). There was strong evidence of a remaining direct effect (moderate: b = 0.81, 95% CI = 0.39, 1.22, P < 0.001; high risk: b = 1.28, 95% CI = 0.65, 1.91, P < 0.001). A similar pattern of results was evident for partner alcohol use.Young adults whose parents have moderate or high-risk alcohol consumption are more likely to consume alcohol than those with parents with lower alcohol consumption. This association appears to be partly accounted for by earlier alcohol use initiation and higher prevalence of association with deviant peers.
ABSTRACT
ObjectivesThe ELAStiC (Electronic Longitudinal Alcohol Study in Communities) project was established to determine factors that predict pathways into alcohol misuse and the life-course effects of alcohol use and misuse on health and well-being. This is achieved through accessing existing longitudinal data that are key sources of evidence for social and health policy, developing statistical methods and modelling techniques from a diverse range of disciplines, working with stakeholders in both policy, practice and the third sector to bring relevance to the work, and to bring together a diverse team of experts to collaborate and facilitate learning across diverse fields.
ApproachThe project will link data that include cohort studies such as; UK Biobank, ALSPAC (Avon Longitudinal Study of Parents and Children), Millennium Cohort Study, British Household Panel Survey, Understanding Society, E_CATALyST (Caerphilly Health and Social Needs Electronic Cohort Study) and WECC (Wales Electronic Cohort for Children). These data will be linked with routine data from primary and secondary healthcare in England, Scotland and Wales. Additional data from education and police data source will also be linked as part of the project.
The main work packages for the project are:
Methodological InnovationsMethodological developments in mechanisms for correcting bias in reporting alcohol consumption and for combining routine data with cohort data; the application of Markov models for examining the extent to which past behaviour influences future behaviour, and econometric hedonic pricing methods for providing insights into the costs of alcohol-related harm.
Pathways into HarmDo family structure, household composition, youngsters’ previous ill-health and educational attainment predict their use of alcohol and what socio-economic factors and household transitions contribute to hazardous alcohol consumption in adults?
Secondary HarmsWhat is the effect on children’s health and educational achievement of living in households in which one or more adults has experienced alcohol-related harm?
Mental Health & Well-BeingWhat is the relationship between alcohol consumption, hospital admission and mental health in adults and children?
ResultsThe results of the data linkage between the multiple cohorts and health, education and police data will be reported. The challenges of linking cohort and other data types from different nations will be discussed.
ConclusionsOur project will aim to provide evidence that informs the UK Government’s commitment to “radically reshape the approach to alcohol and reduce the number of people drinking to excess”, by working with existing longitudinal data collected in the UK to inform policy and practice.
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