Institute of Population Health Sciences
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Associations between household overcrowding and adult mental illness in an ethnically diverse urban population: cross-sectional study using linked primary care and housing records.
(Swansea University, 2024-09-10)Objective We hypothesised that adults living in overcrowded households were more likely to be diagnosed with Serious Mental Illness (SMI) or depression after accounting for individual, household and area-level factors. ... -
What is lost when training goes digital?
(John Wiley & Sons Ltd, 2024-08-08) -
Risk of fractures in half a million survivors of 20 cancers: a population-based matched cohort study using linked English electronic health records.
(2024-03)BACKGROUND: A history of multiple myeloma, prostate cancer, and breast cancer has been associated with adverse bone health, but associations across a broader range of cancers are unclear. We aimed to compare the risk of ... -
Stakeholder views on the barriers and facilitators of psychosocial interventions to address reduction in aggressive challenging behaviour in adults with intellectual disabilities
(Taylor and Francis, 2023-08-14)Success of psychosocial interventions in reducing aggressive challenging behaviour is likely to be related not only to mechanistic aspects but also to therapeutic and system factors. The study aims to examine the facilitators ... -
Reply: Cognitive behavioural therapy sessions approach ineffective for anxiety and depression in COPD: is the door closed for good?
(2024-01)Our trial does not support using a CBA approach to alleviate mild/moderate anxiety and/or depression in people with moderate/severe COPD. New approaches are needed to relieve the substantial mental health burden in these ... -
Dental Surgical Activity in Hospitals during COVID-19: A Nationwide Observational Cohort Study.
(2024-01-03)INTRODUCTION: The number of surgical extractions performed in hospitals in England remains unclear. This study reports the volume of surgical extractions conducted in hospitals and change in activity during the COVID-19 ... -
One versus three weeks hypofractionated whole breast radiotherapy for early breast cancer treatment: the FAST-Forward phase III RCT.
(2023-11)BACKGROUND: FAST-Forward aimed to identify a 5-fraction schedule of adjuvant radiotherapy delivered in 1 week that was non-inferior in terms of local cancer control and as safe as the standard 15-fraction regimen after ... -
Ethnic differences in early onset multimorbidity and associations with health service use, long-term prescribing, years of life lost, and mortality: A cross-sectional study using clustering in the UK Clinical Practice Research Datalink.
(2023-10)BACKGROUND: The population prevalence of multimorbidity (the existence of at least 2 or more long-term conditions [LTCs] in an individual) is increasing among young adults, particularly in minority ethnic groups and ... -
Strong and graded associations between level of asthma severity and all-cause hospital care use and costs in the UK.
(BMJ Publishing Group, 2023-12-14)BACKGROUND: Hospital admissions account for a large share of the healthcare costs incurred by people with asthma. We assessed the hospital care use and costs associated with asthma severity using the UK Biobank cohort and ... -
Does bribery increase maternal mortality? Evidence from 135 Sub-Saharan African regions
<jats:p>About 295,000 women died globally during and following pregnancy and childbirth in 2017. Two-thirds of these deaths occurred in Sub-Saharan Africa. By linking individual and regional data from 135 regions in 17 ... -
Development and evaluation of a method to assess breast cancer risk using a longitudinal history of mammographic density: a cohort study.
(2023-11-24)BACKGROUND: Women with dense breasts have an increased risk of breast cancer. However, breast density is measured with variability, which may reduce the reliability and accuracy of its association with breast cancer risk. ... -
An optimization framework to guide the choice of thresholds for risk-based cancer screening.
(2023-11-28)It is uncommon for risk groups defined by statistical or artificial intelligence (AI) models to be chosen by jointly considering model performance and potential interventions available. We develop a framework to rapidly ...