Washington [US], April 17 : A study has found that poor diet has contributed to over 14.1 million cases of type 2 diabetes.
The study was published in the journal, 'Nature Medicine.'
The analysis, which looked at data from 1990 and 2018, provides valuable insight into which dietary factors are driving type 2 diabetes burden by world region.
Of the 11 dietary factors considered, three had an outsized contribution to the rising global incidence of type 2 diabetes: Insufficient intake of whole grains, excesses of refined rice and wheat, and the overconsumption of processed meat. Factors such as drinking too much fruit juice and not eating enough non-starchy vegetables, nuts, or seeds, had less of an impact on new cases of the disease.
"Our study suggests poor carbohydrate quality is a leading driver of diet-attributable type 2 diabetes globally, and with important variation by nation and over time," says senior author Dariush Mozaffarian, Jean Mayer Professor of Nutrition and dean for policy at the Friedman School. "These new findings reveal critical areas for national and global focus to improve nutrition and reduce devastating burdens of diabetes."
Type 2 diabetes is characterized by the resistance of the body's cells to insulin. Of the 184 countries included in the Nature Medicine study, all saw an increase in type 2 diabetes cases between 1990 and 2018, representing a growing burden on individuals, families, and healthcare systems.
The research team based their model on information from the Global Dietary Database, along with population demographics from multiple sources, global type 2 diabetes incidence estimates, and data on how food choices impact people living with obesity and type 2 diabetes from multiple published papers.
The analysis revealed that poor diet is causing a larger proportion of total type 2 diabetes incidence in men versus women, in younger versus older adults, and in urban versus rural residents at the global level.
Regionally, Central and Eastern Europe and Central Asia particularly in Poland and Russia, where diets tend to be rich in red meat, processed meat, and potatoes had the greatest number of type 2 diabetes cases linked to diet. Incidence was also high in Latin America and the Caribbean, especially in Colombia and Mexico, which was credited to high consumption of sugary drinks, processed meat, and low intake of whole grains.
Regions, where diet had less of an impact on type 2 diabetes cases, included South Asia and Sub-Saharan Africa though the largest increases in type 2 diabetes due to poor diet between 1990 and 2018 were observed in Sub-Saharan Africa. Of the 30 most populated countries studied, India, Nigeria, and Ethiopia had the fewest case of type 2 diabetes related to unhealthy eating.
"Left unchecked and with incidence only projected to rise, type 2 diabetes will continue to impact population health, economic productivity, health care system capacity, and drive health inequities worldwide," says first author Meghan O'Hearn. She conducted this research while a PhD candidate at the Friedman School and currently works as Impact Director for Food Systems for the Future, a non-profit institute and for-profit fund that enables innovative food and agriculture enterprises to measurably improve nutrition outcomes for underserved and low-income communities. "These findings can help inform nutritional priorities for clinicians, policymakers, and private sector actors as they encourage healthier dietary choices that address this global epidemic."
Other recent studies have estimated that 40 per cent of type 2 diabetes cases globally are attributed to suboptimal diet, lower than the 70 per cent reported in the Nature Medicine paper. The research team attributes this to the new information in their analysis, such as the first-ever inclusion of refined grains, which was one of the top contributors to diabetes burdens; and updated data on dietary habits based on national individual-level dietary surveys, rather than agricultural estimates. The investigators also note that they presented the uncertainty of these new estimates, which can continue to be refined as new data emerges.
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