From ucl.ac.uk/news
Older people with diabetes who do not keep blood sugar levels low are three times more likely to develop eye disease compared to counterparts who have reduced blood sugar levels, suggests a new study by a UCL team.
The study, published in the journal BMJ Open, looked at survey data for 5,600 people aged 52 and over in England across 14 years.
The researchers found that people with “uncontrolled” diabetes – that is, whose blood sugar levels were high at the start of the study – had a 31% chance of developing diabetic eye disease over 14 years.
In contrast, people diagnosed with diabetes whose blood sugar levels were found to be within a “normal” range at the study’s start had a 9% chance of developing the disease over the same time.
The group with diabetes who had high blood sugar levels (above 6.5% on a HbA1c test, which reflects blood sugar levels over two months) were also more likely to develop two other eye diseases, glaucoma and macular degeneration.
In addition, people who had undiagnosed diabetes had a higher risk of developing eye disease than those who had had a diagnosis but had reduced their blood sugar levels.
Specifically, people with undiagnosed diabetes were 38% more likely to develop macular degeneration over the 14 years than those with controlled diabetes. They were also 23% more likely to develop diabetic eye disease.
Co-author Dr Stephen Jivraj, of the UCL Institute of Epidemiology & Health Care, said: “The number of older people with diabetes in England is expected to increase rapidly in coming years. In the 2000s, the proportion of working-age people with a diabetes diagnosis more than doubled, from 2.8% to 6.8%.
“These findings show how important it is that people with diabetes are diagnosed and are supported in managing the condition, as this will reduce their chance of potentially debilitating eye disease.”
First author Caitlin Lin, who is now a PhD candidate at the UCL Global Business School for Health, said: “The study highlights the importance of eye examinations among those in older age, especially those with a diabetes diagnosis. It also supports wider testing for diabetes in the general population, to reduce the number of people who do not realise they have the condition and could therefore be at a higher risk of eye disease than if they had a diagnosis.”
Diabetic eye disease most commonly refers to diabetic retinopathy, where high blood sugar levels damage the retina at the back of the eye. People with diabetes also have an increased risk of glaucoma (damage to the optic nerve connecting the eye to the brain), macular degeneration (where the central part of the retina, the macula, becomes damaged) and cataract (where the lens in your eye becomes cloudy).
However, some researchers have suggested the link between diabetes and some eye diseases may be due to greater monitoring of the eyes of people with diabetes.
For the new paper, Ms Lin and Dr Jivraj used 14 years of data from the English Longitudinal Study of Ageing (ELSA), in which a nationally representative population sample in England answers a wide range of questions every two years.
They calculated the odds of developing eye diseases over that time period among different groups (those without diabetes and those with undiagnosed diabetes, uncontrolled diabetes and controlled diabetes), adjusting for other factors that could have skewed the results, such as age, smoking status and levels of physical activity.
Two years after the study’s start, the predicted odds of developing diabetic eye disease were 5% for the diabetes group with lower blood sugar levels and 7% for the diabetes group with higher blood sugar levels. By the end of the study, the odds were 9% and 31% respectively.
The researchers did not find a difference between the groups in the likelihood of developing cataracts.
Among the study’s limitations, the authors noted that the number of people responding to the surveys fell by more than half by the end of the study period, which could potentially bias estimates of the odds of developing eye disease.
Ms Lin worked on the paper as part of her BSc degree in Population Health Sciences with Data Science.
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