Type 1 diabetes

Glycaemic Control by Sociodemographic Factors in Adults With Type 1 Diabetes in England: Trends From 2007–2008 to 2023–2024

Diabetes Obes MetabPublished Repeated cross-sectional study

Authors' conclusion

Although HbA1c improved overall, inequalities by age and deprivation widened

Study context

Population
Adults aged ≥20 years with T1D in England, National Diabetes Audit
Participants
133,035 vs 226,005
Exposure
Trends 2007-2008 vs 2023-2024, by age, sex, ethnicity and deprivation
  • 2007-2008n = 133,035reference
  • 2023-2024n = 226,005
Outcome
Trends in mean HbA1c and HbA1c ≤58 mmol/mol (≤7.5%)
Methodological detailsnational audit data, linear mixed-effects models, logistic regression
  • National audit data
  • Linear mixed-effects models
  • Logistic regression

Main finding

As reported in the abstract

GroupValueMean HbA1c
2007-200832.6%68.8 (95% CI: 68.6-69.0)
2023-202439.1%66.2 mmol/mol (95% CI: 66.1-66.3)

Value

2007-200832.6%
2023-202439.1%

Mean HbA1c

2007-200868.8 (95% CI: 68.6-69.0)
2023-202466.2 mmol/mol (95% CI: 66.1-66.3)

Observational data: associations, not effects.

Further findings

Adjusted probability of HbA1c threshold attainment by sex
Percent
Women
38.4%(95% CI 38.0–39.4)
Men
38.7%(95% CI 38.2–39.3)
Mean HbA1c by ethnicity · 2023-2024
Mean
Black
72.1 (95% CI 71.5–72.7) mmol/mol
Asian
69.8 (95% CI 69.4–70.2) mmol/mol
White
65.3 (95% CI 65.1–65.5) mmol/mol
HbA1c threshold attainment by deprivation
Percent
Least deprived
46.4%(95% CI 45.6–47.2)
Most deprived
32.3%(95% CI 31.4–33.9)

Mean HbA1c by age · 2007-2008 to 2023-2024

Aged 20-24 years: from 76.7 to 70.1 mmol/mol
P < 0.001
Aged >64 years: non-significant increase from 63.7 to 63.8 mmol/mol
P = 0.203

Mean HbA1c by sex · 2007-2008 to 2023-2024

Women: from 69.4 to 66.1 mmol/mol
P < 0.001
Men: from 68.4 to 65.8 mmol/mol
P < 0.001

Original publication

Glycaemic Control by Sociodemographic Factors in Adults With Type 1 Diabetes in England: Trends From 2007–2008 to 2023–2024. Diabetes Obes Metab. Published 1 June 2026. doi:10.1111/dom.70929

Composed by AI from the published abstract and checked against it. How Briefs are made →

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