Introduction: Mental health problems are the most significant cause of disability and have high annual economic costs; hence, they are a priority for the government, service providers and policymakers. Consisting of largely coastal and rural communities, the populations of Norfolk and Suffolk, UK, have elevated burdens of mental health problems, areas with high levels of deprivation and an increasing migrant population. However, these communities are underserved by research and areas with the greatest mental health needs are not represented or engaged in research.
View Article and Find Full Text PDFBackground: The COVID-19 pandemic has disproportionately affected women's mental health. However, most evidence has focused on mental illbeing outcomes, and there is little evidence on the mechanisms underlying this unequal impact.
Aims: To investigate gender differences in the long-term trajectories of life satisfaction, how these were affected during the pandemic and the role of time-use differences in explaining gender inequalities.
Background: The association of social and clinical indicators with employment, disability, and health outcomes among individuals with severe mental illnesses (SMI) remains unclear. Existing evidence primarily comes from smaller cohort studies limited by shorter follow-up and high attrition, or registry-based research, which lacks information on important social determinants.
Study Design: We utilized a novel data linkage consisting of clinical records of individuals diagnosed with schizophrenia-spectrum or bipolar disorders from the South London and Maudsley Mental Health Trust, linked at the individual-level to the 2011 UK Census, a rich source for sociodemographic information.
Aims: The associations of prior homelessness with current health are unknown. Using nationally representative data collected in private households in England, this study aimed to examine Common Mental Disorders (CMDs), physical health, alcohol/substance dependence, and multimorbidities in people who formerly experienced homelessness compared to people who never experienced homelessness.
Methods: This cross-sectional study utilised data from the 2007 and 2014 Adult Psychiatric Morbidity Surveys.