It is hypothesised that physical, social and economic environments are related to health. However, in the absence of large population based cohorts with good quality measures of the environment, health behaviours and health outcomes, there is limited robust evidence confirming these relationships. This project will examine the associations between environmental conditions around participants? homes (including features of the built environment, proximity to destinations that facilitate healthy behaviours, and air pollution) and physical activity and dietary behaviours and health outcomes such as overweight and obesity, type 2 diabetes, cardiovascular disease, cancer and death. One of UK Biobank?s principal aims is the prevention of serious disease. Lack of physical activity and poor diet are risk factors for multiple chronic conditions, including type 2 diabetes, coronary heart disease and stroke. The environments we live in contribute to lower levels of physical activity, unhealthy diets, rising overweight and obesity, and socio-economic inequalities in these behaviours and related diseases. Actions to improve the environment for public health are increasingly advocated in the UK and elsewhere. Understanding the relationships between the environment, dietary and physical activity behaviours, and health outcomes can inform strategies for improving population health. We will use measures of the environment around people?s homes, already calculated for Biobank participants, and examine their associations with self-reported or objectively measured dietary and physical activity behaviours and health outcomes. For example, we will examine the associations between measures of the built environment and proximity to destinations (such as parks and supermarkets) and self-reported and objective measures of physical activity. We will also assess the associations with changes in physical activity and diet in the repeat-measures subsample. All analyses will use existing, and accruing, data only. We will not need to re-contact participants Data from the full cohort and the repeat subsample are requested.
|Return ID||App ID||Description||Archive Date|
|3412||20684||Estimating physical activity from self-reported behaviours in large-scale population studies using network harmonisation: findings from UK Biobank and associations with disease outcomes||14 May 2021|
|2622||20684||Impact of follow-up time and analytical approaches to account for reverse causality on the association between physical activity and health outcomes in UK Biobank||28 Oct 2020|
|2621||20684||Using alternatives to the car and risk of all-cause, cardiovascular and cancer mortality||28 Oct 2020|
|3413||Estimating physical activity from self-reported behaviours in large-scale population studies using network harmonisation: findings from UK Biobank and associations with disease outcomes||Pearce M et al.||2020||Int J Behav Nutr Phys Act|
|2623||Impact of follow-up time and analytical approaches to account for reverse causality on the association between physical activity and health outcomes in UK Biobank||Strain T et al.||2020||Int J Epidemiol|
|2622||Using alternatives to the car and risk of all-cause, cardiovascular and cancer mortality||Panter J et al.||2018||Heart|