I used to think that serious illnesses were hereditary, unavoidable, or something that suddenly appeared later in life. If I felt something wasn’t right, I would go to the doctor, run tests, and respond from there. I have never thought there was a better way to do a health risk assessment.
Over the past decade, this view has changed dramatically. I have since learned that most of the illnesses that affect us the most are not sudden at all. It develops silently over years or decades, often without obvious symptoms. What’s different now is that we finally have the tools to identify and respond to these risks early, long before our bodies reach crisis point.
Lately, I’ve been delving into data-driven, non-invasive ways to identify disease risk early and actually reduce that risk. This is something I have personally explored, invested in, and used. I think this makes a big difference in the way we think about health.
four knights
You may think that chronic diseases are truly diverse and complex, but they have many similarities. Just four health categories account for about 85% of deaths among people over 50. Often referred to as the Four Horsemen, these include heart disease, cancer, metabolic diseases (such as type 2 diabetes), and Alzheimer’s dementia.
What’s even more concerning is that rates for all four are increasing. This is true not only for older people, but also for younger populations and even children. So what do they all have in common?
It’s not sudden or happens overnight. Instead, it develops slowly as a result of lifestyle choices, environmental exposures, and biological changes. Symptoms can creep up on us and creep up on us years or even decades before we are diagnosed.
Despite this, much of our health care system is built around response rather than prevention. We typically wait until the disease is advanced enough to obtain a diagnosis before taking action. By then, our bodies are often stressed and sending us subtle (or not-so-subtle) signals for a very long time. I’ve suffered from hypothyroidism and felt bad for years, but couldn’t get a diagnosis until I reached crisis point.
Understanding these shared patterns is important because it reframes disease as a process rather than an inevitable outcome. And when you can see the process early through a health risk assessment, there is an opportunity to change course.
Why waiting for symptoms doesn’t work
One of the biggest problems with chronic disease is that the early stages are often subtle. There may be quiet changes happening beneath the surface, but nothing that clearly indicates a problem.
For many people, the first symptom of heart disease is a heart attack. And about half of heart attacks occur in people who had no prior warning signs. Cancer is often only discovered after it has progressed to a later stage, despite knowing that outcomes are dramatically better if caught early. Alzheimer’s disease can begin 20 to 30 years before noticeable memory loss occurs, but risk is rarely screened for during that time.
Standard screening approaches also do not do much to address this gap. Heart disease risk is often calculated using a narrow 10-year model. Cancer risk in the general population is not routinely assessed. And Alzheimer’s disease risk is typically not assessed unless someone is already showing symptoms.
Many people have experienced the frustration of knowing something doesn’t feel right, searching for answers, and being told that everything seems normal. Years later, a diagnosis appears confirming that the body has been sending signals all along. This is not a failure of intuition. This is a limitation of systems that are not designed to catch risks early.
The most powerful truth about disease risk
When I realized that we can often change our chronic disease risk, it completely changed the way I think about health. Depending on the condition, we can influence approximately 60-90% of our disease risk. Especially when it comes to cancer, less than 10% of the risk is purely genetic. The rest is formed over time, depending on your lifestyle, environment, and daily habits.
This means that the risk is not fixed but flexible. Early detection makes a huge difference. If cancer is detected early, the survival rate is close to 90%. If discovered late, the survival rate drops dramatically. A similar pattern exists for heart disease and cognitive decline.
Here, lifestyle is not a vague concept but something that can be measured. Small choices continue to compound over time, increasing or decreasing risk. This is where early, personalized data becomes very powerful. This will help you identify what measures are most important to each individual, rather than relying on a broad, one-size-fits-all advice.
How are data and AI transforming early detection?
Until recently, assessing early disease risk at the individual level was not realistic. Each condition is influenced by dozens or hundreds of variables that interact and change over time. No human being can accurately trace or interpret its complexity.
Advances in data analytics and AI have changed the situation. Large data sets from thousands of studies can now be analyzed together to identify meaningful patterns and calculate personalized risk.
This is why I got involved with a company called Catch. They use data from over 10,000 studies to analyze hundreds of individual variables and create a personalized lifetime cancer risk profile. These profiles show which factors increase or decrease risk and which changes could have the greatest impact. Although it only addresses cancer for now, it provides insight into the positive changes we can make to improve our overall health.
It also helps prioritize screening in a more personalized way, focusing on what really matters to the individual rather than age-based guidelines. This approach does not replace healthcare, but adds insights that did not previously exist.
Lifestyle factors that quietly shape risk
One of the most interesting parts of looking at this kind of data is seeing how certain lifestyle factors affect risk in ways that aren’t always intuitive.
For example, adding a few vegetables to your daily diet lowers your risk of developing multiple cancers. Eating oily fish once a week lowers the risk of stomach cancer. Adding just one serving of fruit, especially berries, a day lowers your risk of lung cancer.
Some associations are more surprising. Drinking coffee regularly (without a lot of sugar and vegetable oils!) has been linked to a lower risk of several cancers. A history of asthma or allergies appears to reduce the risk of certain brain cancers due to differences in immune system activity.
On the other hand, certain risk factors often go unnoticed. Head injuries and concussions can significantly increase your lifetime risk of brain cancer. Radon exposure in the home is a leading cause of lung cancer that many people never get tested for. Lack of sleep, circadian disruption, and indoor air pollution are all associated with increased risk of disease.
When we look at these factors together, it becomes clear that risks rarely occur randomly. This is the cumulative result of small inputs adding up over time.
What my own risk assessment revealed
Using the personalized health risk assessment model, I learned a few things I didn’t expect. Despite having a family history of cancer, the overall risk was lower than the population average. This reinforced how important lifestyle and environment are.
I also learned that having children at a younger age, having multiple children, and breastfeeding reduces the risk of certain cancers, including breast and uterine cancer. My blood type puts me at slightly increased risk for several cancers, which is something I had never considered. My height slightly increased my risk (which I couldn’t change), but my activity level more than offset this increase.
Some of the recommendations were simple and practical. Increasing my intake of vegetables, especially fermented vegetables, adding more colorful plant-based foods, and increasing my weekly intake of oily fish have all been identified as meaningful levers for me.
What stood out most was how achievable this change felt. I didn’t need to overhaul my life. With a few goal adjustments, you can meaningfully reduce your lifetime risk, which makes the process feel empowering rather than overwhelming. And these were things I was already doing. I just decided to step it up a bit more.
Why nuance and personal discernment are important
While I found Catch to be very insightful, there was one area where I disagreed with the health risk assessment. I have a different opinion than some people when it comes to sun exposure, sunscreen, and skin cancer. Many health experts suggest that sunscreen helps prevent or reduce the risk of skin cancer, but there is more to it than that.
Data do not show a clear link between moderate, non-burning sun exposure and an increased risk of skin cancer. This shows a strong link between sunburn and cancer risk. Healthy vitamin D levels have been linked to a reduced risk of several cancers, and for me personally, sunlight is essential to maintaining these levels. Sunlight is also important for many other healthy biological functions in our bodies!
This is not a recommendation for or against sunscreen. This is an example of why data should drive curiosity, not replace discernment. Tools like these provide information, but it’s still important to ask questions, understand what’s going on, and listen to your body. So, even though Catch said that your risk of skin cancer is higher than average due to healthy sun exposure, I respectfully disagree.
Heart disease and Alzheimer’s disease reach their peak
What’s most interesting about this approach to health risk assessment is that it doesn’t end with cancer. The same principle applies to heart disease and Alzheimer’s dementia.
Heart disease risk is not fully determined by cholesterol levels alone. Inflammation, calcification, metabolic markers, mineral balance, and even light exposure also play a role. Half of people who experience a heart attack have normal LDL levels, highlighting how imperfect current models are.
Alzheimer’s disease begins decades before symptoms appear, and lifestyle is one of the strongest factors in risk. AI-based models can identify early patterns long before traditional inspection methods detect problems.
This is where proactive health becomes truly protective health, giving you the time and space to make important changes.
Final Thoughts on Health Risk Assessment
It’s not that there’s a lack of health information, it’s that there’s a lack of clarity and personalization. Generic advice and fear-based messages leave many people feeling overwhelmed or disconnected from their bodies. Personalized data helps bridge this gap by showing which factors really matter to each individual and where small changes can have the biggest impact.
The good news is that our health future is not random. It compounds over time and is formed daily by choices, circumstances and habits, most of which are within our control. Early detection provides the opportunity to change outcomes before disease occurs.
That’s not to say that if we eat healthy and try to avoid toxins, nothing bad will happen. But there is much we can do to mitigate the risks, and personalized, actionable health recommendations are more useful than ever.
When we change and adjust our habits, we change our future health story.
What steps and daily habits do you take to reduce your risk of chronic disease? Have you used a health risk assessment tool before? Let us know by leaving a comment!
