scholarly journals Population attributable risk of breast cancer in white women associated with immediately modifiable risk factors

BMC Cancer ◽  
2006 ◽  
Vol 6 (1) ◽  
Author(s):  
Christina A Clarke ◽  
David M Purdie ◽  
Sally L Glaser
Maturitas ◽  
2013 ◽  
Vol 76 (4) ◽  
pp. 370-376 ◽  
Author(s):  
Louise F. Wilson ◽  
Andrew N. Page ◽  
Nathan A.M. Dunn ◽  
Nirmala Pandeya ◽  
Melinda M. Protani ◽  
...  

2021 ◽  
Vol 160 (6) ◽  
pp. S-81
Author(s):  
Emily W. Lopes ◽  
Mingyang Song ◽  
Kristin E. Burke ◽  
Ashwin Ananthakrishnan ◽  
James Richter ◽  
...  

JAMA Oncology ◽  
2017 ◽  
Vol 3 (9) ◽  
pp. 1228 ◽  
Author(s):  
Natalie J. Engmann ◽  
Marzieh K. Golmakani ◽  
Diana L. Miglioretti ◽  
Brian L. Sprague ◽  
Karla Kerlikowske ◽  
...  

2016 ◽  
Vol 184 (12) ◽  
pp. 884-893 ◽  
Author(s):  
Rulla M. Tamimi ◽  
Donna Spiegelman ◽  
Stephanie A. Smith-Warner ◽  
Molin Wang ◽  
Mathew Pazaris ◽  
...  

2021 ◽  
Vol 3 ◽  
pp. 11
Author(s):  
Shatabdi Goon ◽  
Hanseul Kim ◽  
Edward L. Giovannucci

Background: The population attributable risk (PAR) is a statistic commonly used for quantifying preventability of cancer. We report here PAR estimates for the United Kingdom (UK) along with its constituent countries for up-to-date risk factor-attributable colorectal cancer (CRC) and breast cancer (BC), focusing on diet and nutrition related factors and tobacco (CRC) using representative national surveys. Methods: The PAR was calculated using established, modifiable risk factors by the World Cancer Research Fund/American Institute of Cancer Research (WCRF/AICR): physical activity, body mass index (BMI), alcoholic drinks, red meat, processed meat, dietary fiber, dietary calcium, as well as cigarette smoking for CRC, and physical activity, BMI, alcoholic drinks, and fruits and vegetable consumption for BC. National prevalence estimates and relative risks (RRs) for CRC and BC were obtained from meta-analyses or large pooled analyses. Results: Based on eight dietary and lifestyle risk factors, the estimates for attributable cases of CRC for males and females, respectively, were as follows: England: 67% and 60%; Scotland: 68% and 59%, Wales: 66% and 61%; Northern Ireland: 67% and 61%; and UK: 67% and 60%. Excluding smoking, the PAR for the UK was 61% for men and 52% for women. Based on four dietary and lifestyle risk factors, the estimates for BC were as follows: England: 26%, Scotland: 27%; Wales: 25%; Northern Ireland: 26%; and UK: 27%. Conclusion: Up to 67% for CRC and 27% of BC were attributable to modifiable dietary and lifestyle factors in the UK. Moderate differences in PAR are observed between countries due to different prevalence of exposure to risk factors.


Obesity Facts ◽  
2021 ◽  
Author(s):  
Huijing He ◽  
Li Pan ◽  
Xiaolan Ren ◽  
Dingming Wang ◽  
Jianwei Du ◽  
...  

Introduction: The prevalence of hyperuricemia is increasing world widely; the understanding of population attributable faction of modifiable risk factors is important for disease prevention. Given the sparse evidence on how modifiable risk factors influence hyperuricemia in mainland China, we aim to explore the effect of excess weight and alcohol consumption and the population attributable fractions of hyperuricemia based on a national survey in mainland China. Methods: Using data from China National Health Survey which included 31746 Han Chinese aged 20-80 from ten provinces, we estimated the prevalence and modifiable risk factors (overweight/obesity and alcohol consumption)of hyperuricemia. Hyperuricemia was defined as serum uric acid > 417 μmol/L in men and > 340 μmol/L in women. Restricted cubic spline models were used to demonstrate the linear and non-linear association between exposures and hyperuricemia. The adjusted population attributable risk (PAR) was calculated to understand the relative importance of each modifiable risk factor. Results: The prevalence of hyperuricemia was 25.1% in men and 15.9% in women. The population fraction of hyperuricemia cases that could be avoided by weight loss was 20.6% (19.2% to 22.0%) in men and 18.1% (17.1% to 19.0%) in women. The PAR of alcohol consumption was 12.8% (8.5% to 17.1%) in men. Participants from southwest China had the highest hyperuricemia prevalence (47.9% in men and 29.9% in women), but with lower PAR of modifiable risk factors, especially in men (16.7%). Subjects in North China had lower hyperuricemia prevalence but higher PAR of modifiable risk factors. 44.8% male hyperuricemia cases in Inner Mongolia (26.9% of hyperuricemia prevalence) and 37.7% cases in men from Heilongjiang (34.4% of hyperuricemia prevalence) were attributable to overweight/obesity and alcohol consumption. Conclusion: There are significant sex and geographic difference on population attributable risk of hyperuricemia due to modifiable risk factors. More tailored prevention strategies are needed to prevent hyperuricemia through weight loss and the reduction of alcohol consumption.


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