# Comparative Analysis of Type 1 and Type 2 Diabetes Registrations and Risk Factor Correlations in the UK (2022–24)

**Authors:** Sayan Bandyopadhyay, Rittik Dey, Prosenjit Chakraborty, Chitrak Jharwal, Parna Chakraborty, Moitreyo Pandit

PMC · DOI: 10.7759/cureus.94773 · Cureus · 2025-10-17

## TL;DR

This study compares risk factors for Type 1 and Type 2 diabetes in the UK, finding distinct age, socioeconomic, and ethnic patterns that suggest different public health strategies.

## Contribution

The study provides new insights into how demographic and socioeconomic factors correlate differently with Type 1 and Type 2 diabetes registrations in the UK.

## Key findings

- Type 1 diabetes is strongly linked to younger age groups and less affected by socioeconomic deprivation.
- Type 2 diabetes is strongly associated with middle-aged and older adults and higher socioeconomic deprivation.
- Ethnicity correlations differ, with Type 1 diabetes more common in White patients and Type 2 diabetes more prevalent in Asian British and Black British populations.

## Abstract

Background: Diabetes mellitus imposes a growing burden due to rising prevalence, complications, and costs. Type 1 Diabetes (T1D), an autoimmune condition, primarily affects younger individuals, whereas Type 2 Diabetes (T2D) is linked to lifestyle and socioeconomic factors in adults. Understanding how demographic, socioeconomic, and ethnic factors correlate with T1D and T2D registrations can guide targeted interventions.

Objectives: To compare correlations between risk factors (age, socioeconomic deprivation, ethnicity) and T1D versus T2D registrations in the UK across the 2022-23 and 2023-24 audit periods.

Methods: We conducted a retrospective, observational study using National Diabetes Audit (NDA) data from 2022-23 Q1 and 2023-24 Q1 on T1D and T2D registrations, which were cleaned and standardized. Correlation matrices and difference heatmaps were generated for numeric variables (age bands, Index of Multiple Deprivation (IMD) quintiles, ethnicity percentages, registrations) using seaborn. Trends and intergroup differences were analyzed.

Results: T1D registrations correlated strongly with the under‑40 age group (r≈0.82-0.85) and weakly with socioeconomic deprivation (IMD most deprived: r≈0.15-0.18). T2D registrations correlated most with middle‑aged and older bands (40-64: r≈0.73-0.75; 65-79: r≈0.65-0.68) and strongly with IMD most deprived (r≈0.60-0.62). Ethnicity correlations: T1D strongest in White patients (r≈0.82-0.85), while T2D showed elevated associations with Asian British (r≈0.45-0.47) and Black British (r≈0.40-0.42). Difference analyses revealed widening age‑band disparities between T1D and T2D in 2023-24.

Conclusions: Distinct patterns between T1D and T2D emphasize the need for differentiated strategies: youth‑focused management for T1D and socioeconomic and culturally tailored interventions for T2D. Continued monitoring and targeted public health policies are essential to reduce disparities and improve outcomes.

## Linked entities

- **Diseases:** Type 1 Diabetes (MONDO:0005147), Type 2 Diabetes (MONDO:0005148)

## Full-text entities

- **Diseases:** Diabetes (MESH:D003920), T2D (MESH:D003924), autoimmune condition (MESH:D001327), T1D (MESH:D003922)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC12533550/full.md

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Source: https://tomesphere.com/paper/PMC12533550