Lifestyle Sequencing

A New Health Data Science

Lifestyle Behavioural Intervention

Unhealthy lifestyles account for an estimated 82% of all US healthcare costs, driving systemic low-grade inflammation that leads to long-term chronic inflammation. This process weakens the immune system, creates oxidative stress, cellular toxicity, cell death and multiple chronic diseases including obesity, type 2 diabetes, cancer, stroke, heart disease and Alzheimer’s. Unhealthy lifestyle factors are known to create life-threatening complications from viruses like COVID-19.

Lifestyle behavioural intervention is increasingly popular as a health prevention method to lower obesity, drive healthy lifestyle habits, and reduce the long-term dangers of chronic disease.

Historically there has been no lifestyle assessment service that looks at lifestyle behaviour from the perspective of inflammatory risk.

Lifestyle Risk Factors

Our screening platform captures data on 25 lifestyle risk factors and calculates inflammatory risk per topic against 5 risk levels, from Very High Risk to No Risk. Participants take a free anonymous online assessment and receive an instant online summary report of their lifestyle risks.

Lifestyle Risk Analysis

Each lifestyle topic has 5 possible answers. Algorithms apply an inflammatory risk level and an inflammatory risk score to each answer, the totality of lifestyle answers creates a personal inflammatory lifestyle risk score.

Data Model

Data is collected, modeled and output to 3 Population Lifestyle Indices.

Lifestyle Sequencing

Lifestyle Sequencing is a new approach to behavioral health intervention by understanding how individual lifestyle choices impact other lifestyle choices – as well as overall inflammatory risks – for a given demographic of people. For example, weight level is not just a single stand-alone lifestyle factor since people of normal weight – or class 2 obese people – lead very different lifestyles. In other words, one lifestyle factor has a direct impact on others and on lifestyle inflammatory risk scores.

Our data analytics platform aggregates lifestyle answers per population demographic and filters these aggregate results by any individual lifestyle answer/s to show how these different answers impact scoring across other lifestyle topics.

These example charts show how 2 different weight levels impact inflammatory risk scores across 6 other lifestyle topics, how this weighting filter then impacts risk scores for these topics and how it impacts the overall inflammatory risk score for a population group. In this case weight level is used but filtering can be applied to any combinations of lifestyle factors, for example exercising more frequently + drinking less alcohol may show a better incidence of sleep hours.

Lower Scores = Healthier Lifestyles, Higher Scores = Higher Inflammatory Risks

Wellness Professionals

Wellness professionals can use the lifestyle assessment service to create lifestyle profiles for their clients and patients. Following a completed assessment, participants get an instant lifestyle risk summary and a unique ID which they give to their wellness advisor.

Wellness professionals then access more detailed lifestyle reports that show personal lifestyle answers, inflammatory risk levels and risk scores for the assessment. All lifestyle report pages are displayed at anonymous encrypted URL’s which only the wellness provider can connect to a specific client by using their unique ID.

To see an example lifestyle risk report for someone who has completed a lifestyle assessment click here

To see an example lifestyle risk report for wellness professionals who look up a client I.D. click here

To take a free lifestyle risk assessment click here

Marketing outreach begins in Q4 2021 to the health coach industry.

Lifestyle Data Analytics

Anonymous data is aggregated into a central database with a data analytics platform which can output millions of data analytics charts across any metrics including by gender and by eight individual age groups.

Once the project reaches data-at-scale we will be publishing free lifestyle analytics to the health and wellness community at large, register here for analytics service launch.

Our Thanks Go Out To

Dr. K Steven Whiting, PhD Biochemistry and Founder of the Institue of Nutritional Science in San Diego for early input into our screening methodology.

A Big Thank You! to Ami Mac M.D., Director of Translational Medicine at Stanford for the many hours you contributed in f2f discussions, phone calls, text messages and Zoom meetings.

And finally our appreciation for the positive responses to our screening platform when presented via Zoom to Ron Davies, Professor of Biochemistry and Genetics, and Lars Steinmetz, Professor of Genetics, both at the Stanford Genome Technology Center.

We appreciate all of the professional scientific health support, input and advice which has brought this project to life.