Type 1 diabetes

Characterising impaired awareness of hypoglycaemia and associated risks through Hypoglycaemia Awareness Questionnaire (HypoA-Q): findings from a T1D Exchange cohort

DiabetologiaPublished Cross-sectional study

Authors' conclusion

The HypoA-Q IA is a brief, valid and reliable tool for assessing IAH in today's technology-oriented era. IAH was independently associated with severe hypoglycaemia and level 2 hypoglycaemia in a cohort with high prevalence of advanced diabetes technology use and HbA1c within the recommended range. CGM and HCL use was related to lower IAH risk.

Study context

Population
Adults with T1D, T1D Exchange registrants; median age 44 years, 52% female, median HbA1c 48 mmol/mol [6.5%]; 94% using continuous glucose monitor (CGM), 69% hybrid closed-loop (HCL)
Participants
1,580 valid survey responses
Outcome
HypoA-Q IA validation and IAH associations
Methodological detailsnationwide survey, T1D Exchange registrants, external validation
  • Nationwide survey
  • T1D Exchange registrants
  • External validation

Main finding

As reported in the abstract

HypoA-Q IA internal reliability (Cronbach's α)
0.79
Higher HypoA-Q IA scores independently associated with greater risk of severe hypoglycaemia, comparable to Gold and Clarke hypoglycaemia awareness factor (Clarke-HAF) instruments
p<0.001
HypoA-Q IA-determined impaired awareness of hypoglycaemia (IAH): 88% higher odds of severe hypoglycaemia
p<0.001
HypoA-Q IA-determined IAH: twofold higher odds of ≥1% time in level 2 hypoglycaemia
p=0.011

Observational data: associations, not effects.

Further findings

Severe hypoglycaemia in past 6 months

≥1 severe-hypoglycaemia episode
30%

Factors associated with IAH

Higher age and longer diabetes duration associated with higher IAH risk
P < 0.001
CGM and HCL use associated with lower IAH risk
P < 0.001

Original publication

Characterising impaired awareness of hypoglycaemia and associated risks through HypoA-Q: findings from a T1D Exchange cohort. Diabetologia. Published 30 October 2024. doi:10.1007/s00125-024-06310-5

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

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