A5089651641- Colorectal Cancer Screening and Detection
- Nutritional Studies and Diet
- Esophageal Cancer Research and Treatment
- Cancer Risks and Factors
- Global Cancer Incidence and Screening
- Folate and B Vitamins Research
- Health Systems, Economic Evaluations, Quality of Life
- Nutrition and Health in Aging
- Economic and Financial Impacts of Cancer
- Cancer survivorship and care
- Cutaneous Melanoma Detection and Management
- Cardiovascular Disease and Adiposity
- Palliative Care and End-of-Life Issues
- Multiple and Secondary Primary Cancers
- Obesity, Physical Activity, Diet
- Nutrition, Genetics, and Disease
- Sex and Gender in Healthcare
- Pharmaceutical Practices and Patient Outcomes
- Down syndrome and intellectual disability research
- Family Support in Illness
- Lymphoma Diagnosis and Treatment
- Occupational and environmental lung diseases
- Global Public Health Policies and Epidemiology
- Diet and metabolism studies
- Computational Drug Discovery Methods
Cancer Council Victoria
2018-2024
The University of Melbourne
2018-2023
Despite overall improvements in cancer survival due to earlier diagnosis and better treatment, socio-economically disadvantaged people have lower than more advantaged people. We aimed examine differences by area-level socio-economic disadvantage Victoria, Australia assess whether these inequalities varied year of diagnosis, age at time since sex. Cases diagnosed with a first primary 2001-2015 were identified using the Victorian Cancer Registry followed end 2016. Five-year net excess risk...
Abstract Women diagnosed with melanoma have better survival than men, but little is known about potential intervention targets to reduce this gap by sex. We conducted a population‐based study using Victorian Cancer Registry data including 5833 women and 6780 men aged 15 70 years when first primary between 2007 2015. Deaths the end of 2020 were identified through linkage national death registries. estimated effect age at diagnosis, tumour thickness site on reducing melanoma‐specific sex (ie,...
Abstract Purpose To examine how socio-demographic, comorbidities and information needs influence quality of life (QoL) outcomes survivors breast, colorectal, or prostate cancer, non-Hodgkin lymphoma melanoma. Methods Cross-sectional postal survey with eligible participants identified through a population-based cancer registry. QoL were assessed by EQ-5D-5L, social difficulties index (SDI) and, for those employed at diagnosis, current employment. Regression analyses explored associations...
<p>Hazard ratios per one-unit increment in WCRF/AICR diet and lifestyle scores cancer risk the Melbourne Collaborative Cohort Study. The plot shows hazard for total, alcohol-, obesity- smoking-related, digestive tract women (A) men (B). P interaction is denoted by P.</p>
<p>Hazard ratiosa for WCRF/AICR diet and lifestyle scores total, alcohol-, obesity- smoking-related, digestive tract cancer risk men in the Melbourne Collaborative Cohort Study</p>
<p>Construction of components used in World Cancer Research Fund/American Institute for (WCRF/AICR) diet and lifestyle scores</p>
<p>Hazard ratios per one-unit increment in WCRF/AICR standardized lifestyle score and cancer risk the Melbourne Collaborative Cohort Study. The plot shows hazard for total, alcohol-, obesity- smoking-related, digestive tract according to smoking status (A) age at diagnosis (B). P interaction is denoted by P.</p>
<p>Multivariable-adjusted hazard ratios for WCRF/AICR diet and lifestyle scores total cancer risk in the Melbourne Collaborative Cohort Study. The are shown by solid black lines, 95% confidence limits grey lines reference red dashed lines.</p>
<p>Flowchart showing selection of study participants. The flowchart describes how the final sample was determined. boxes with dotted outline indicate exclusion criteria.</p>
<p>Hazard ratios per one-unit increment in WCRF/AICR diet and lifestyle scores cancer risk the Melbourne Collaborative Cohort Study. The plot shows hazard for total, alcohol-, obesity- smoking-related, digestive tract women (A) men (B). P interaction is denoted by P.</p>
<p>Hazard ratiosa for WCRF/AICR diet and lifestyle scores total, alcohol-, obesity- smoking-related, digestive tract cancer risk women in the Melbourne Collaborative Cohort Study</p>
<p>Hazard ratiosa for WCRF/AICR diet and lifestyle scores total, alcohol-, obesity- smoking-related, digestive tract cancer risk excluding first two years of follow-up in the Melbourne Collaborative Cohort Study</p>
<p>Multivariable-adjusted hazard ratios for WCRF/AICR diet and lifestyle scores total cancer risk in the Melbourne Collaborative Cohort Study. The are shown by solid black lines, 95% confidence limits grey lines reference red dashed lines.</p>
<p>Hazard ratios per one-unit increment in WCRF/AICR standardized lifestyle score and cancer risk the Melbourne Collaborative Cohort Study. The plot shows hazard for total, alcohol-, obesity- smoking-related, digestive tract according to smoking status (A) age at diagnosis (B). P interaction is denoted by P.</p>
<p>Hazard ratiosa for WCRF/AICR diet, standardized lifestyle and expanded scores total, alcohol-, obesity- smoking-related, digestive tract cancer risk in the Melbourne Collaborative Cohort Study, adjusted smoking intensity instead of status</p>
<p>Hazard ratiosa for WCRF/AICR diet and lifestyle scores total, alcohol-, obesity- smoking-related, digestive tract cancer risk excluding first two years of follow-up in the Melbourne Collaborative Cohort Study</p>
<p>Hazard ratiosa for WCRF/AICR diet and lifestyle scores total, alcohol-, obesity- smoking-related, digestive tract cancer risk women in the Melbourne Collaborative Cohort Study</p>
<p>Distribution of diet and lifestyle scores in the Melbourne Collaborative Cohort Study. The plot shows descriptive statistics for scores. maximum possible scores: WCRF/AICR score=5, standardized score=7, expanded score + smoking=8. horizontal lines within each box indicate median 25th 75th percentiles, circles outliers.</p>