Archives: Research

jobs - mental health covid

Jobs, mental health and family responsibilities: an extended administrative data study of occupations, mental health and mortality among the NI population and examination of the role of the COVID-19 pandemic

The proposed study is aligned with the ongoing ADR ‘OCCUMEN Study’ which examines the prevalence and correlates of mental disorders (MDs) across occupational categories. This related study will examine sex-specific temporal trends in mental disorders and causes of death across occupation types before and following the onset of the Covid-19 (C-19) pandemic and examine associations with family responsibilities.

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Students

Predictors of interaction with children’s social services and health and socio-economic outcomes in adulthood: a longitudinal record-linkage study

Improving outcomes for children known to social services (including those in care and those receiving in-home support or child protection measures) is a key policy priority. Prior research suggests care experienced children have worse adult outcomes compared to peers across numerous domains including health, education, and employment. However, the majority of research is based outside the UK, uses small samples, and excludes children known to social services but never in care. Improved understanding of both the predictors and the long-term outcomes of childhood interaction with social services is needed to inform targeted prevention and support programs.

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Socio-economic and neighbourhood effects on Covid-19 and all-cause mortality

Socio-economic and neighbourhood effects on Covid-19 and all-cause mortality

The unique circumstances of the Covid-19 pandemic poses formidable health, economic and social challenges for governments around the world. The impact of the coronavirus varies both between and within countries due to unique coronavirus risk factor profiles, transmission patterns within populations and different approaches used by governments to combat the spread of the virus.

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Analysis of multimorbidity, prescribed medication use and mortality over the Covid-19 pandemic period, with a specific focus on those with dementia – a longitudinal study of persons aged forty or more in 2011 in Northern Ireland

Older people are at high risk for Covid-19 and may have been impacted (and psychologically distressed) by the quarantine – entailing disconnection from family, community and usual health, social support and planned treatments. These may be amplified for people in rural areas where services are limited and both transport and digital-based communication services relatively poor. These issues may be more challenging for people living with dementia, generally associated with ageing, functional decline (Melis et al., 2013) and increased prescribing (Browne et al., 2017; Clague et al., 2017).

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The impact of the COVID-19 pandemic and quarantine on people with Severe Mental Illness (SMI) in Northern Ireland: an examination of prescribed psychotropic medication and mortality between Census 2011 and 2021

From March 2020 individuals, wider society and health care systems have all been seriously affected by the COVID-19 pandemic (WHO, 2020). It is likely that the pandemic has more severely impacted on people with prior mental health problems: generally research suggests that, pre-pandemic, people with Severe Mental Illness (SMI) (here we include schizophrenia, bi-polar disorder and major depressive disorder) could expect to experience considerable social exclusion, poor physical health and die up to 20 years earlier than the general population (Walker et al, 2015, NICE, 2018). They are also vulnerable to conditions such as diabetes (T2), cardiovascular disease (CVD), stroke and cancers, often due to lifestyle factors – poor diet, smoking, and lack of exercise (Lawrence et al, 2013). More generally the pandemic and subsequent lockdown may have exacerbated their physical and mental health. Many people with SMI either live alone or in shared community residential settings, and the closure of community-based rehabilitation centres during the pandemic, and absence of community activities, can exacerbate this sense of isolation and loneliness, leading potentially to mental health deterioration. Moreover, a reduction in services may limit access to routine health care including community and hospital psychiatric services.

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Residual disadvantage among neighbourhoods in Northern Ireland (NI)

Residual disadvantage among neighbourhoods in Northern Ireland (NI)

Social determinants of health are defined by the World Health Organization as the conditions in which people are born, grow, live, work, and age (US Department of Health and Human Services, 2020). Living in an area of deprivation is a key field of study. Recent research suggests that while area-level deprivation may persist, there is movement of people in and out of these areas (the churn) (Jiang, Pacheco & Dasgupta, 2019).  Within NI we can use indicators of deprivation and disadvantage to identify areas and populations that appear to stagnate, i.e. are persistently lacking in social and especially economic change.  Additionally, we will examine the socio-demographic and socio-economic characteristics of families who migrate from such communities and the lasting impact, if any, that relocation may have on the life-chances of their children.

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Assessing inequalities in health, wellbeing, and social participation outcomes for young carers in the UK

Carers are increasingly important in providing help and support to people with a health condition or who have trouble with everyday activities. Children and young people who provide care (“young carers”) are an often overlooked but important group of carers. Young carers are a particularly difficult group to recruit and retain in large scale longitudinal population studies. There have been very few longitudinal studies of young carers thus far and most of the previous research has been cross-sectional. There has also been very little exploration of inequalities in the effects of being a young carer to look at whether associations differ by gender, ethnicity or socioeconomic circumstances.

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Understanding Recent Fertility Trends in the UK and Improving Methodologies for Fertility Forecasting

The project ‘Understanding Recent Fertility Trends in the UK and Improving Methodologies for Fertility Forecasting’ will examine the significant fluctuations in fertility levels in the UK in the last two decades, will investigate their causes, and will develop improved methodologies for fertility forecasting. The last two decades have witnessed dramatic changes in fertility levels, which were not predicted by demographers or government statisticians: Fertility significantly increased in the first decade of the 21st century, whereas it has declined thereafter.  These changes when translated into numbers of births, have had important implications, for example in the provision of health services, childcare, and school places. The project aims, first, to produce detailed measures of fertility changes in recent years in the UK. Second, it will decompose the overall changes into those attributable to compositional changes in the UK population, e.g. by country of birth, migrant population, education, and those which are attributable to behavioural changes over time, i.e. women have fewer or more children. Finally, these insights will be used to develop new methodologies for more accurate forecasting of fertility applying them to the UK and its constituent countries. The developed methodologies could be applied to project fertility trends in other industrialised countries.

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Developing the potential of the NILS and SLS for studying peer effects in health: A case study of fertility amongst neighbours and co-workers.

Neighbours and work colleagues can all potentially have an influence on our behaviour. For instance, poor health behaviours amongst neighbours and colleagues may normalise and reinforce our own poor health behaviours. This is one example of a peer effect. Imitative behaviour can cause small initial changes in individual behaviour to spread amongst their social networks and result in a ’social multiplier’ effect. Understanding the size and mechanisms behind the ’social multiplier’ effect allows for more effective health interventions. It also helps us understand why persistent health inequalities exist across different neighbourhoods and social groups.

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