| Application: | 7155, The epidemiology of mood disorder, pain and cognitive function |
| Title: | Associations between active commuting and incident cardiovascular disease, cancer and mortality: prospective cohort study |
| Author: | Celis-Morales, C.A. et al |
| Paper: | BMJ. 2017 |
| URL: | https://doi.org/10.1136/bmj.j1456 |
| Size: | 157639 B |
| Archived: | 5 Jul 2018 |
| Stability: | Complete |
| Personal: | No individual-level data |
Return 1480
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Notes
The aim of this study was to investigate the association between active commuting and incident cardiovascular disease (CVD), cancer, and all cause mortality. 263 450 participants (106?674 (52%) women; mean age 52.6), recruited from 22 sites across the UK. The exposure variable was the mode of transport used (walking, cycling, mixed mode v non-active (car or public transport)) to commute to and from work on a typical day. Cycle commuting was associated with a lower risk of CVD, cancer, and all cause mortality. Walking commuting was associated with a lower risk of CVD independent of major measured confounding factors. Initiatives to encourage and support active commuting could reduce risk of death and the burden of important chronic conditions.Application 7155
The epidemiology of mood disorder, pain and cognitive function
Mental health problems place a large burden on the health service. As life expectancy increases, understanding cognitive decline is increasingly important. Identifying high risk groups enables us to detect problems early and target resources. Understanding the distribution of disease between groups can help elucidate the causes of disease and help identify new methods of prevention and treatment. To examine the frequency, distribution, determinants and outcomes of these conditions, in relation to: demographics, lifestyle, comorbidity and medication
UKB is representative of the general population in terms of age, sex and ethnicity but unrepresentative in terms of lifestyle. Therefore, it is not suitable to determine the overall prevalence of any condition but can, nonetheless, be used to compare the distribution of diseases between sub-groups and therefore determine associations between risk factors and disease frequency and outcome. This project builds on our ongoing study (774) which examines ethnic differences in cardiometabolic disease. We seek to extend the focus to examine other determinants of cardiometabolic disease as well as determinants of mood disorder, cognitive impairment and pain.
Publications:
Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants.
Low birth weight and features of neuroticism and mood disorder in 83 545 participants of the UK Biobank cohort.
| Lead investigator: | Jill Pell |
| Lead institution: | University of Glasgow |
0 Categories
There are no matching CategoriesImproving the health of future generations