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Updated: Jan 19, 2026
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Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Exploring Severe Mental Illness and Diabetes: Protocol for a Longitudinal, Observational, and Qualitative Mixed
Sue Bellass1, Johanna Taylor2, Lu Han1
1Mental Health and Addiction Research Group, Department of Health Sciences, University of York, York, United Kingdom.
JMIR Research Protocols
|September 8, 2019
Summary
People with severe mental illness (SMI) face significantly reduced life expectancy, with diabetes being a major contributor. This study investigates the complex factors influencing diabetes risk and outcomes in this population to improve care.
Area of Science:
- Public Health
- Psychiatry
- Endocrinology
Background:
- Severe mental illness (SMI) is linked to a 15-20 year reduction in life expectancy.
- Diabetes is 2-3 times more prevalent in individuals with SMI, contributing to health disparities.
- Interactions between medication side effects, lifestyle, socioeconomic factors, and healthcare access influence diabetes risk in SMI.
Purpose of the Study:
- To identify determinants of diabetes development in people with SMI.
- To explore variations in diabetes outcomes among individuals with SMI.
- To understand the interplay of risk factors and healthcare provision in diabetes management for SMI.
Main Methods:
- Concurrent mixed methods design combining electronic health records (CPRD GOLD) and qualitative interviews.
- Analysis of primary care data to associate sociodemographics, illness, and healthcare factors with type 2 diabetes.
- Qualitative interviews with patients, families, and healthcare staff to explore management and access experiences.
Main Results:
- Exploration of associations between sociodemographics, illness, and healthcare factors with diabetes development and outcomes.
- In-depth understanding of experiences managing diabetes comorbidity and accessing healthcare services.
- Integration of quantitative and qualitative findings for a comprehensive view of diabetes in SMI.
Conclusions:
- Understanding combined risk factors for high diabetes prevalence and poor outcomes in SMI is crucial.
- Findings will inform the development of targeted interventions and services.
- Improving diabetes care for individuals with SMI is a national and global health priority.
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