Suchergebnisse

Background: 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. Aims: To examine and identify sub-populations at risk for psychological discomfort in Northern Ireland and map the relative impact of potential predictors. Methods: 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. Results: 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. Conclusions: 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.

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.