https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 The burden of cancer attributable to modifiable risk factors: the Australian cancer-PAF cohort consortium https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30583 Wed 11 Apr 2018 14:15:39 AEST ]]> Food habits, lifestyle factors and mortality among oldest old Chinese: the Chinese Longitudinal Healthy Longevity Survey (CLHLS) https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22883 Wed 11 Apr 2018 11:04:47 AEST ]]> Association between dietary patterns, cadmium intake and chronic kidney disease among adults https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36009 Fri 24 Jan 2020 12:38:12 AEDT ]]> The future colorectal cancer burden attributable to modifiable behaviors: a pooled cohort study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35110 Pdifference < .001). The burden attributed to these factors was also higher for those born in Australia (28.7%) than elsewhere (16.8%, Pdifference = .047). We observed modification of the smoking-attributable burden by alcohol consumption and educational attainment, and modification of the obesity-attributable burden by age group and birthplace. Conclusions: We produced up-to-date estimates of the future CRC burden attributed to modifiable behaviors. We revealed novel differences between men and women, and other high–CRC burden subgroups that could potentially benefit most from programs that support behavioral change and early detection.]]> Fri 21 Jun 2019 10:25:59 AEST ]]> The preventable burden of breast cancers for premenopausal and postmenopausal women in Australia: A pooled cohort study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37400 n = 214,536) to national cancer and death registries, and estimated the strength of the associations between behaviours causally related to cancer incidence and death using adjusted proportional hazards models. We estimated exposure prevalence from representative health surveys. We combined these estimates to calculate Population Attributable Fractions (PAFs) with 95% confidence intervals (CIs), and compared PAFs for population subgroups. During the first 10 years follow‐up, there were 640 incident breast cancers for premenopausal women, 2,632 for postmenopausal women, and 8,761 deaths from any cause. Of future breast cancers for premenopausal women, any regular alcohol consumption explains 12.6% (CI = 4.3–20.2%), current use of oral contraceptives for ≥5 years 7.1% (CI = 0.3–13.5%), and these factors combined 18.8% (CI = 9.1–27.4%). Of future breast cancers for postmenopausal women, overweight or obesity (BMI ≥25 kg/m2) explains 12.8% (CI = 7.8–17.5%), current use of menopausal hormone therapy (MHT) 6.9% (CI = 4.8–8.9%), any regular alcohol consumption 6.6% (CI = 1.5–11.4%), and these factors combined 24.2% (CI = 17.6–30.3%). The MHT‐related postmenopausal breast cancer burden varied by body fatness, alcohol consumption and socio‐economic status, the body fatness‐related postmenopausal breast cancer burden by alcohol consumption and educational attainment, and the alcohol‐related postmenopausal breast cancer burden by breast feeding history. Our results provide evidence to support targeted and population‐level cancer control activities.]]> Fri 06 Nov 2020 17:34:03 AEDT ]]>