A recent review funded by the National Institute for Health and Care Research (NIHR) suggests that current guidelines for preventing type 2 diabetes in the UK may need to be adjusted to better serve various ethnic groups. The research highlights that individuals of South Asian, Black, and Chinese descent face a significantly elevated risk of developing type 2 diabetes at body mass index (BMI) levels considered healthy for White populations.
Currently, the NHS Diabetes Prevention Programme (NDPP) targets individuals with a BMI of 23 kg/m² or higher for White populations, and a higher threshold of 27.5 kg/m² for other ethnic groups. However, the NIHR-funded review, which analysed existing evidence, indicates that a single, lower BMI threshold of 23 kg/m² for all ethnic groups could be more effective in identifying those at risk and initiating preventative measures earlier.
The disparity in risk is attributed to several factors, including genetic predispositions and differences in how fat is distributed in the body. For instance, South Asian individuals are more prone to accumulating visceral fat, which surrounds organs and is linked to a higher risk of metabolic diseases, even at a seemingly healthy weight. This means that by the time individuals from these ethnic backgrounds reach the current higher BMI threshold for intervention, they may already be at an advanced stage of diabetes risk.
Implementing a universal lower BMI threshold for entry into diabetes prevention programmes could lead to earlier identification and support for thousands more individuals from these communities. Early intervention, including lifestyle changes such as diet and exercise, is crucial in preventing or delaying the onset of type 2 diabetes and its associated complications, which can include heart disease, kidney failure, and blindness.
The findings underscore the importance of culturally sensitive and evidence-based approaches to public health. While BMI is a widely used measure, this research illustrates its limitations when applied uniformly across diverse populations without considering underlying biological and genetic differences. A more nuanced approach could significantly improve health outcomes and reduce health inequalities across the UK.