摘要：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.
其他摘要：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.
