Start by understanding where you are now — and what your potential is.

• Life expectancy - your estimated lifespan based on KamaLama factors (All factors)
• Potential life expectancy - life expectancy you can expect if all your factors are in their best positive range
• Biological age - your current estimate of physiological “age”, which directly correlates with your life expectancy factors

Don’t be upset if your scores are low. A low score is a great starting point to work on your recommendations and bring your result closer to your potential.

Learn your report

• Identify how each factor impacts your results and what you can improve
• Look for the factors that are currently taking years away and how they should change
• Find out if there are unanswered factors like blood results or measurements. Plan your actions.
• Praise your strong areas — keep “In a good range” factors at the same level.
• Check your risks. Find out if there are any factors that increase your risk
• Consider sharing your report with a qualified clinician to improve your action plan. Track your progress and test regularly
• Retake the test regularly and compare your results.
• Add reminders to your calendar
• Share the test with friends and family — improving together is often easier and more sustainable.

• Every time you add or update your answers, KamaLama will save them in your progress board and update your result.
• Your recommended next check date will also be updated.
• You can find your progress board in the menu or near your result.
• Retake the test at least once a year, and sooner if you’re actively changing lifestyle habits or tracking biomarkers.

KamaLama translates scientific evidence into a single, understandable result. The number of years we add or subtract is an approximation of effects seen in research on all-cause mortality (risk of death from any cause).

• If a factor adds years in KamaLama, it reflects a pattern that is associated with lower all-cause mortality in the evidence. If a factor removes years, it reflects a pattern that is associated with higher all-cause mortality.

How the result is calculated:

• Baseline first: we start with your age, sex, and country to estimate a baseline reference for your cohort.
• Factor scoring: each answer updates your risk profile using evidence-based scores derived from research on how that factor relates to mortality risk.
• Meta-analytic weighting: factors don’t have equal impact, and combinations can amplify or offset each other, so we apply a meta-analytic model that weights and integrates the factors on top of your baseline to estimate your potential, biological age, and life expectancy.

See details in our Whitepaper.

We focus on factors supported by strong evidence on all-cause mortality — the risk of death from any cause (for example, a change that reduces heart-disease deaths but increases deaths from other causes may not improve all-cause mortality).

We screened the peer-reviewed health science literature step by step:

• ~7.6 million publications screened
• ~68,000 studies considered (limited to those reporting all-cause mortality outcomes)
• ~6,000 studies retained (large, statistically solid studies)
• ~600 findings kept (strong, consistent associations using common effect sizes like HR/RR/OR)
• ~30 factors selected (high-confidence, practical to measure, and useful for real people)

We continuously monitor new research and update the model — adding new factors once strong evidence emerges. You can review the scientific sources in our Resource Library.

Nutrition research is often controversial, highly individual, and harder to measure reliably through self-reported food habits, so KamaLama prioritises indicators with stronger evidence and clearer measurement. Several of our included factors are meaningfully influenced by nutrition (directly or as proxies):

• Body Mass Index (BMI): A simple height/weight indicator that often reflects long-term energy balance and dietary patterns.
• HbA1c: Shows average blood glucose over ~3 months and helps indicate metabolic health and diabetes risk.
• LDL cholesterol: A key cardiovascular risk marker; diet can affect LDL.
• Processed meat intake: Higher intake is associated with a modestly higher all-cause mortality risk in research.
• Omega-3 Index: Higher omega-3 status tends to be associated with lower mortality risk.
• CRP (C-reactive protein): A blood marker of systemic inflammation that can be influenced by overall diet quality and body composition.

KamaLama is different by design — it’s built to be science-first, transparent, and accessible.

• Strictly science-based: we include only factors supported by strong, consistent research and linked to all-cause mortality (with standard statistical thresholds).
• 30 evidence-based factors: covering multiple health domains, not a few unclear “scores.”
• Completely free: no hidden fees, ads, brand deals, or sponsored recommendations.
• Privacy-first: we don’t collect, sell, or use your answers to build a profile about you.

We treat longevity knowledge as a public good — not a commercial product.

• Mission: give anyone, in any country, a clear, science-based view of what can truly change life expectancy — regardless of income, insurance, or access to doctors.
• Free by design: KamaLama is free, and we intend to keep it that way.
• How we stay free: the project is funded by our founders and by people who choose to support us (patrons and donors).
• No commercialisation: no ads, no brand promotions, no sponsored recommendations.
• No paywalls: no “premium” features locked behind payment.
• Privacy-first: we don’t sell user data.
• Non-profit: all donations and investments go directly into product development.

Privacy is our core principle.

Your data stays only on your device. KamaLama uses your answers to calculate your result in real time — not to build a profile on you. After you close the page, your answers stay only on your device (if your browser keeps them).

• You can save your results as a PDF inside your report.
• In the “Data” section in the menu, you can access data on another device, export and import it manually.
• Clear your data anytime by selecting “Clear data”.

• On each factor page, you’ll find a Scientific summary — a clear, plain-language overview of the research findings behind that factor. You can also access these summaries in the Library section.
• Further down the same page, the Health tips section offers practical guidance and recommendations to help you improve that factor.
• For more health content and updates, follow our Instagram: @kamalamaorg.

No. KamaLama provides educational, informational, science-based insights, but it does not replace medical advice. We suggest you review your report with your doctor or another medical professional, especially if there are any out-of-range results.

We very much welcome any feedback.

Thank you for helping us make KamaLama better! Please let us know at hello@kamalama.org.

• Share KamaLama with friends and family.
• Post about the test on your social media and in your communities to help more people discover it.
• Become KamaLama ambassador. We invite physicians, public health and nutrition professionals, lifestyle experts, educators, HR and well-being managers, community leaders, and creators who want to make a positive impact. ambassador@kamalama.org
• Support our mission with a donation. donation@kamalama.org

Open your Profile (top-left corner of the site). There you can change any baseline factor.

• You can share your results with friends and family or on social media by tapping the share button in the top corner of your report.
• You can save your results as a PDF inside your report.
• In the “Data” section in the menu, you can access data on another device, export and import it manually.
• Clear your data anytime by selecting “Clear data”.

If you have any other questions, email us anytime at hello@kamalama.org.