Modelling employment trajectories in multimorbidity: A longitudinal and intersectional analysis
Supervisors:
Dr Evangelia Demou, School of Health & Wellbeing, University of Glasgow
Dr Eliud Kibuchi, School of Health & Wellbeing, University of Glasgow
Prof Vittal Katikireddi, School of Health & Wellbeing, University of Glasgow
Summary:
Work is a key determinant of health and wellbeing, yet people with multiple long-term conditions (MLTCs) face significant challenges in securing and sustaining employment. MLTCs are a growing public health concern in the UK associated with increased mortality, higher healthcare use, and reduced quality of life. They develop earlier in socioeconomically disadvantaged populations, often during working age, contributing to widening inequalities. Mental and physical multimorbidity is particularly common and associated with poorer outcomes and reduced work capacity. As labour markets become more insecure and policy changes emphasise supporting people with health conditions into work, individuals with MLTCs are increasingly expected to remain employed. However, there is limited evidence on how multimorbidity shapes employment trajectories over time, especially across intersecting inequalities. This quantitative PhD will use longitudinal data from Understanding Society (UKHLS), linked to health and employment records, to examine employment trajectories, transitions, and sustainability among people with MLTCs. It will apply advanced methods, including trajectory modelling, multilevel modelling, and Bayesian approaches. The findings will inform equitable policies and workplace interventions.