News media in the UK covers Type 2 diabetes far more frequently than Type 1, a new analysis of nearly 10,000 articles reveals. Published in PLOS ONE, the study highlights stark differences in how the two conditions are portrayed.
Coverage of Type 2 diabetes substantially exceeded that of Type 1 diabetes, with reporting on Type 1 overwhelmingly focused on medical management rather than lifestyle.
Researchers analyzed articles from 10 major UK newspapers published between 2019 and 2024, using the Diabetes UK News Media Corpus. Their corpus-based discourse analysis found that the language used for each type of diabetes varies significantly.
Type 1 diabetes coverage is dominated by medical and biological terminology. Words like "sufferer," "patient," and "diabetic" appear more frequently. The reporting emphasizes individual medical management, reinforcing a clinical view of the condition.
For Type 2 diabetes, the narrative is dramatically different. Lifestyle factors such as diet, obesity, and physical inactivity are frequently cited. This language implies a strong sense of individual responsibility for both developing and managing the condition. However, the study notes that broader social determinants like income, food security, and healthcare access are rarely discussed.
Both diabetes types are often mentioned in the same sentence as obesity, cancer, and cardiovascular diseases. This framing may suggest inaccurate causal relationships between these conditions. The analysis also shows that coverage of both diabetes types increased between 2020 and 2024.
Key Recommendations for Journalists
The researchers offer clear guidance for more accurate and sensitive reporting:
- Use clear, guideline-supported language and always explicitly distinguish between Type 1 and Type 2 diabetes.
- Avoid terminology that reinforces stigma, blame, or misconceptions about the causes or management of diabetes.
- Include both medical and social factors when reporting on the development and management of diabetes.
- Be cautious when linking diabetes to other conditions to prevent implying direct causality where none is established.