A free educational checklist based on recognised breast cancer risk factors used in clinical risk models — such as age, family history, and reproductive history. This tool counts factors and gives general awareness guidance only. It does not calculate a percentage risk and cannot replace a doctor's assessment using a validated tool like the Gail model.
No. This is an educational checklist that counts commonly recognised breast cancer risk factors — the kind of factors used as inputs to statistical models such as the Gail model — and gives a general, non-numeric awareness message based on roughly how many apply to you. It does not run the validated statistical calculations behind real risk models, so it cannot and does not output a percentage risk figure. For an actual quantitative estimate of your personal risk, speak with your doctor, who can arrange a proper assessment using a validated tool.
⚕️ Medical Notice: This is an educational risk-factor awareness tool, not a validated statistical risk calculator like the Gail model. It does not predict your personal risk percentage of developing breast cancer. For an actual quantitative risk assessment, talk to your doctor about validated tools such as the Gail model, the Tyrer-Cuzick (IBIS) model, or the National Cancer Institute's Breast Cancer Risk Assessment Tool.
| Factor | Your Answer |
|---|
Real statistical risk models, such as the Gail model, combine personal, family, and clinical factors using validated numerical weights derived from large population studies to estimate a quantitative percentage risk. This checklist takes a much simpler, non-statistical approach: it simply counts how many commonly recognised risk factors apply to you from the list below, and gives you a general, tiered educational message — not a percentage.
| Factor | What It Reflects | Modifiable? |
|---|---|---|
| Age | Risk generally rises with age, especially after menopause | No |
| Age at first period | Starting periods before age 12 is a recognised minor factor | No |
| Age at first live birth | A later first birth, or never giving birth, is a recognised factor; a first birth before 30 is generally linked with somewhat lower risk | No |
| First-degree relatives affected | More affected mothers, sisters, or daughters raises the recognised factor count | No |
| Breast biopsy with atypical hyperplasia | A specific biopsy finding linked to increased risk | No |
| Personal breast history | A prior breast cancer or certain other breast conditions changes the risk picture substantially | No |
| Dense breast tissue | Tissue density seen on a mammogram is an independent recognised factor | No, though density can change over time |
| Combined hormone replacement therapy | Recognised as a factor associated with some increase in risk while used | Potentially, in discussion with your doctor |
| Alcohol consumption | Commonly cited modifiable/lifestyle-related factor | Yes |
| Physical inactivity | Commonly cited modifiable/lifestyle-related factor | Yes |
Doctors and researchers have developed statistical risk-assessment tools — the Gail model, the Tyrer-Cuzick (IBIS) model, and the National Cancer Institute's Breast Cancer Risk Assessment Tool are among the most widely used — that combine many of the factors listed on this page into a single validated equation. Each factor is given a specific numerical weight based on very large population studies, and the combined result is a personalised estimate of the chance that someone will develop breast cancer over a defined period, such as the next five years or over their lifetime. Reproducing that maths accurately requires the exact validated coefficients behind each of those tools, which are proprietary to, and continuously refined by, the organisations that built them. This checklist takes a different, much simpler approach: it counts how many commonly recognised factors apply to you, without attempting to weight them the way a validated model does. That makes it useful for raising awareness and prompting a conversation, but it is not a substitute for an actual quantitative risk assessment — something your doctor can arrange, often using one of the validated tools named above, if it is relevant to your situation.
What is the Gail model?
The Gail model is a statistical tool developed by researchers that combines several personal and family risk factors — such as age, reproductive history, family history, and prior biopsy results — using validated numerical weights derived from large population studies, to estimate an individual's chance of developing breast cancer over five years and over a lifetime. It requires precise, clinically validated coefficients that this educational checklist does not attempt to reproduce.
Does this calculator give me a percentage risk figure?
No, and deliberately so. Producing an accurate percentage risk requires the exact validated statistical coefficients behind models like the Gail model, which are proprietary and complex. Faking a precise-looking number here would be misleading false precision. Instead, this tool counts how many commonly recognised risk factors apply to you and gives a general, tiered educational message.
Does having risk factors mean I'll get breast cancer?
No. Having one or more recognised risk factors increases the statistical likelihood at a population level, but most people with risk factors never develop breast cancer. This checklist is about awareness, not prediction of what will happen to you individually.
Does having no risk factors mean I'm safe?
No. Most breast cancer cases actually occur in people without strong recognised risk factors. That is exactly why routine screening under BreastScreen Australia is recommended for eligible women regardless of how many factors apply to them.
What is BreastScreen Australia?
BreastScreen Australia is the national free mammogram screening program, primarily inviting women aged 50 to 74 (with screening available from 40) for regular mammograms. It exists because screening benefits the whole eligible population, not just those with known risk factors. See our Mammogram Screening Interval Calculator to check when your next mammogram may be due.
Can lifestyle factors reduce my risk?
There is some evidence that regular physical activity and moderating alcohol intake are associated with somewhat lower risk at a population level. However, this isn't a guarantee of prevention for any individual — lifestyle factors are only part of the overall picture alongside factors you cannot change, like age and family history.
When should I talk to a doctor about my personal risk?
Any time you have questions or concerns, but especially if you have a strong family history of breast or ovarian cancer, a prior biopsy showing atypical hyperplasia, a personal history of breast cancer, or you've noticed any new breast changes. Your doctor can also arrange a proper quantitative risk assessment if appropriate.
Does breast density affect risk?
Yes. Dense breast tissue, as seen on a mammogram, is a recognised independent risk factor and can also make mammograms harder to interpret. If you've had a mammogram, ask your radiologist or doctor whether your report mentioned breast density and what, if anything, that means for your screening plan.
What counts as a first-degree relative for family history?
A first-degree relative means a mother, sister, or daughter. The number of first-degree relatives who have had breast cancer, and the age at which they were diagnosed, are both recognised inputs to clinical risk models, which is why this checklist asks about it as a simple count.
How is this checklist different from a real validated risk calculator?
A real validated calculator, such as the Gail model, Tyrer-Cuzick model, or the NCI's Breast Cancer Risk Assessment Tool, applies specific statistical weights to each factor and combines them mathematically into a single percentage estimate, based on data from large clinical studies. This checklist simply counts how many recognised factors apply to you, with no weighting or statistical modelling, and deliberately avoids producing a percentage so it doesn't imply a level of precision it cannot back up.