A person wearing a heart rate monitor and motion sensor can now reveal exactly how their daily movement patterns affect their risk of obesity and metabolic disease, down to the minute. This matters because most studies rely on people’s unreliable memories of how much they exercise. The team has developed and validated a technique that combines heart rate and body movement data to measure physical activity objectively in real-world settings. This fills a critical gap: we know activity is good for health, but we lack precise, population-level data on how much, what type, and when activity matters—especially across different ages, environments, and genetic backgrounds. If this research succeeds, public health guidance could shift from prescribing vigorous aerobic exercise to encouraging any increase in daily movement—a more achievable goal for most people. The findings could reshape how governments design urban environments, school curricula, and workplace health programmes. The programme also explores the heritability of activity levels and their genetic links, which may eventually help identify individuals who would benefit most from targeted interventions.
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The overall aim of this programme is to understand the detailed relationships between physical activity and disease, particularly obesity and metabolic disorders. Further, we are also examining how the environment, early life factors such as birth weight, and genes affect the associations between physical activity with obesity and metabolic disorders. We have lead the development and evaluation of an objective method based on the combined measurement of heart rate and body movement for measuring physical activity precisely in free living individuals. This technique is now implemented in our epidemiological studies and in collaboration with researchers in UK and abroad. We will use this method in future studies. We seek to understand population levels of physical activity and how activity levels might change by time and between sub-groups of the population. We have shown that physical activity is positively associated with metabolic disorders in both children and adults and this association is independent of aerobic fitness. This has important public health implications as it may be more feasible to encourage the population to increase their levels of activity rather than improving aerobic fitness which is likely to include more vigorous exercise. We will seek to further examine the importance of physical activity in the causation of disease and how these associations differ between sub groups of the population. For example, we will include precise measurements of physical activity and body composition from early age in various birth cohorts. Finally, we will examine the heritability of activity in twin studies and the genetic determinants of activity in large scale observational studies.
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