Obesity does not cause a single disease but a cluster of them, and the specific combination varies dramatically from one region of the world to another. Researchers have long known that obesity raises the risk of multiple diseases at once—a condition called multimorbidity—but they lack a clear picture of which disease combinations are most common in different countries, especially in lower-income regions where obesity and undernutrition can coexist. This project will analyse a large collection of anonymised health data from tens of millions of people across the world, using advanced methods to identify distinct clusters of diseases—for example, one group might have diabetes, kidney disease, and a history of stroke, while another has liver disease, diabetes, and back pain. The team will also examine how much of the variation in multimorbidity is explained by smoking, alcohol use, blood pressure, and cholesterol. If successful, this research could help health systems in each country allocate budgets more effectively by targeting the specific disease combinations that actually occur in their population. It may also reveal shared biological pathways through which obesity damages multiple organs, pointing toward better prevention strategies. The project is fundamentally descriptive and epidemiological—it maps a complex global health problem rather than testing a new treatment—but that map is a necessary first step toward smarter, region-specific healthcare.
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Gaining too much weight without getting taller damages different organs and functions of human body and causes many diseases. This means that people with obesity tend to have multiple diseases at the same time. This is called multimorbidity and has negative impacts on a person's overall health and wellbeing. Obesity has gone up for years in most countries, but how much it has increased differs between different regions of the world. In some parts of the world, obesity exists side by side with being undernourished. It is also believed that some people are more likely to gain weight in the form of fat that deposits in the abdomen compared to other parts of the body. Also, by how much those affected by obesity also experience other harmful social and lifestyle factors, like smoking, is different across the world. For these reasons, we expect that multimorbidity in people with obesity is a complex phenomenon that is different in different regions of the world. But there is very limited information on multimorbidity in people affected by obesity in terms of what combination of diseases they have and how common each combination is. This is especially the case in lower income countries. This research study will use a large collection of data that have measured weight and height in tens of millions of people from different countries. The same data also have information about different diseases that people have or have had in the past, behaviours like smoking and alcohol use, and measures like blood pressure and cholesterol. The data do not have any information that can identify individual persons but can tell us what is happening in whole countries. The data have been brought together by hundreds of researchers, doctors and public health experts from around the world. Our research team will use advanced methods to identify people who have similar set of diseases and measure how common each group (or cluster) of people is. For example, some people with obesity may have a combination of diabetes and kidney disease, and have had a stroke in the past. Another group may have liver disease, diabetes and back pain, and so on. We will also study how much differences in multimorbidity in people who have similar weight for their height is due factors like their smoking, alcohol use, blood pressure or cholesterol. Through this information, we can better use our budgets for providing optimal health care that will benefit people in each country, and to understand how obesity affects multiple diseases so that we can improve disease prevention. This work involves collaboration between researchers in the UK and in other regions of the world so that by the time it is completed, we will each be able to do studies like this in our own region and compare results to learn about the best ways to prevent and treat disease, and improve people's health.
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