| Application: | 7155, Epidemiology of mental health, cognitive function, pain and cardiometabolic disease. |
| Title: | Red and processed meat consumption and breast cancer: UK Biobank cohort study and meta-analysis |
| Size: | 22841 B |
| Archived: | 30 Sep 2019 |
| Stability: | Complete |
| Personal: | No individual-level data |
Return 1781
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Notes
Aim: Red and processed meat may be risk factors for breast cancer due to their iron content, administration of oestrogens to cattle, or mutagens created during cooking. We studied the associations in UK Biobank, then included the results in a meta-analysis of published cohort studies.Methods: UK Biobank, a general population cohort study, recruited participants aged 40-69 years. Incident breast cancer was ascertained via linkage to routine hospital admission, cancer registry and death certificate data. Univariate and multivariable Cox proportional hazard models were used to explore the associations between red and processed meat consumption and breast cancer. Previously published cohort studies were identified from a systematic review using PubMed and Ovid, and a meta-analysis conducted using a random effects model.
Results: Over a median of seven years follow-up, 4,819 of the 262,195 women developed breast cancer. The risk was increased in the highest tertile (>9g/day) of processed meat consumption (adjusted HR 1.21, 95% CI 1.08-1.35, p=0.001) Collation with ten previous cohort studies provided data on 40,257 incident breast cancers in 1.65 million women. On meta-analysis, processed meat consumption was associated with overall (RR 1.06, 95% CI 1.01-1.11) and post-menopausal (RR 1.09, 95% CI 1.03-1.15), but not pre-menopausal (RR 0.99, 95% CI 0.88-1.10), breast cancer. In UK Biobank and the meta-analysis, red meat consumption was not associated with breast cancer (adjusted HR 0.99 95% CI 0.88-1.12 and RR 1.03, 95% CI 0.99-1.08, respectively).
Application 7155
Epidemiology of mental health, cognitive function, pain and cardiometabolic disease.
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. Aim: To study the epidemiology of mental health, cognitive function, pain and cardiometabolic disease. Objectives: 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. We will compare participants with and without mood disorder, pain, cognitive impairment and cardiometabolic diease and participants with varying severity of these conditions in relation to a series of demographic and lifestyle factors in order to determine the factors associated with the conditions. We will also examine the association between these conditions and other diseases. The findings will help to identify individual at increased risk and modifiable factors that may help to prevent or alleviate these conditions. all participants
| Lead investigator: | Professor Jill Pell |
| Lead institution: | University of Glasgow |
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1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 1782 | Red and processed meat consumption and breast cancer: UK Biobank cohort study and meta-analysis | Jana J. Anderson (+7) | 2017 | European Journal of Cancer |
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