It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Exposures to cancer risk factors such as smoking and alcohol are not mutually independent. We aimed to identify risk factor exposure patterns and their associations with sociodemographic characteristics and cancer incidence. We considered 120,771 female and, separately, 100,891 male participants of the Australian prospective cohort 45 and Up Study. Factor analysis grouped 36 self-reported variables into 8 combined factors each for females (largely representing ‘smoking’, ‘alcohol’, ‘vigorous exercise’, ‘age at childbirth’, ‘Menopausal Hormone Therapy’, ‘parity and breastfeeding’, ‘standing/sitting’, ‘fruit and vegetables’) and males (largely representing ‘smoking’, ‘alcohol’, ‘vigorous exercise’, ‘urology and health’, ‘moderate exercise’, ‘standing/sitting’, ‘fruit and vegetables’, ‘meat and BMI’). Associations with cancer incidence were investigated using multivariable logistic regression (4–8 years follow-up: 6193 females, 8749 males diagnosed with cancer). After multiple-testing correction, we identified 10 associations between combined factors and cancer incidence for females and 6 for males, of which 14 represent well-known relationships (e.g. bowel cancer: females ‘smoking’ factor Odds Ratio (OR) 1.16 (95% Confidence Interval (CI) 1.08–1.25), males ‘smoking’ factor OR 1.15 (95% CI 1.07–1.23)), providing evidence for the validity of this approach. The catalogue of associations between exposure patterns, sociodemographic characteristics, and cancer incidence can help inform design of future studies and targeted prevention programmes.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Cancer Council NSW, Cancer Research Division, Sydney, Australia (GRID:grid.420082.c) (ISNI:0000 0001 2166 6280); University of Sydney, Sydney School of Public Health, Sydney, Australia (GRID:grid.1013.3) (ISNI:0000 0004 1936 834X)
2 Cancer Council NSW, Cancer Research Division, Sydney, Australia (GRID:grid.420082.c) (ISNI:0000 0001 2166 6280)
3 Australian National University, National Centre for Epidemiology and Population Health, Canberra, Australia (GRID:grid.1001.0) (ISNI:0000 0001 2180 7477)
4 Cancer Council NSW, Cancer Research Division, Sydney, Australia (GRID:grid.420082.c) (ISNI:0000 0001 2166 6280); University of Sydney, Sydney School of Public Health, Sydney, Australia (GRID:grid.1013.3) (ISNI:0000 0004 1936 834X); UNSW Medicine, Prince of Wales Clinical School, Sydney, Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432)
5 Cancer Council NSW, Cancer Research Division, Sydney, Australia (GRID:grid.420082.c) (ISNI:0000 0001 2166 6280); University of Sydney, Sydney School of Public Health, Sydney, Australia (GRID:grid.1013.3) (ISNI:0000 0004 1936 834X); University of Newcastle, School of Medicine and Public Health, Newcastle, Australia (GRID:grid.266842.c) (ISNI:0000 0000 8831 109X)