The strategic opportunity: Owning the behaviour layer
In the third and final part of this longevity series, I discuss how science discovers what extends life. Healthcare treats its failure, too late. In between these two sits the layer where outcomes are actually determined: daily behaviour. This is the layer that lifestyle, physical performance, and nutrition – together – occupy.
In Part One, Longevity as the new health paradigm: The control system, I looked at how the organisations that will win in the longevity economy are not those with the best workouts or the cleanest meal plans in isolation. They will be those that integrate both into a single, measurable, coordinated system — and own the behaviour layer that connects science to daily life.
In Part Two, Physical performance × nutrition — a multiplicative relationship, I explored how, although the relationship between nutrition and physical performance is often described as complementary, biology instead suggests something stronger. Rather, the relationship is multiplicative.
Here, I look at the importance of daily behaviour.
The behaviour equation
The longevity challenge is often presented as a scientific problem. Increasingly, it is a behavioural one.
Most of the foundational behaviours associated with healthy ageing are already well understood: physical activity, nutritional quality, sleep, stress management, recovery, and social connection. What remains difficult is not identifying the behaviours, but sustaining them.
This can be expressed as a simple equation: Outcome = Protocol × Adherence.
Even the most sophisticated intervention loses value when executed inconsistently.
Conversely, relatively simple interventions often produce remarkable results when sustained over long periods. The history of health innovation is full of technically superior solutions that failed because they underestimated human behaviour.
Longevity outcomes are ultimately determined not by scientific validity alone, but by sustained adherence over time.
Behaviour therefore becomes the bridge between scientific possibility and real-world impact.
Why behaviour is the leverage point
The knowledge base for longevity is already largely established. What is scarce is not information, but translation — the conversion of complex biology into simple, repeatable, sustainable habits. The organisations that will create outsized value are those that solve the translation problem at scale.
Four capabilities define a winner in this layer:
- The ability to simplify — distilling moving science into a small number of high-leverage behaviours.
- The ability to integrate — combining diagnostics, protocol, coaching, and feedback in one coherent experience.
- The ability to drive adherence — because a perfect protocol executed at 40% consistency loses to an adequate protocol executed at 90%.
- The ability to measure outcomes — closing the loop so that users, employers, and insurers can see the return.
Whoever owns this layer owns the outcome. And whoever owns the outcome owns the economics.
For any type of audience, this is the strategic centre of gravity. The scarcity is not knowledge; the scarcity is execution.
The organisations that win will be those that translate complex biology into simple, repeatable, measurable behaviours that people can sustain.
The expanding demand side
Four demand-side shifts are accelerating the opportunity:
- Employers — increasingly investing in employee healthspan as a productivity and retention lever.
- Insurers — beginning to reward preventive behaviour with premium reductions and engagement programmes.
- Governments — under fiscal pressure from chronic disease, shifting rhetoric and policy toward prevention.
- Consumers — reallocating spend from short-term aesthetics to long-term biological investment; up to 60% of consumers across the US, UK, Germany, and China now report healthy ageing as a top or very important priority (McKinsey, 2025), within a global wellness market now estimated at $2 trillion.
The cultural shift
Markets track culture with a lag, but they track it reliably. The cultural object of aspiration is changing. Youth and aesthetics are not disappearing — they will always be present — but they are no longer the dominant register. The new aspiration is longevity, vitality, and resilience.
The new status hierarchy
Cultural aspirations evolve over time. Wealth once served as the dominant status signal. It was followed by appearance, then by performance. The emerging signal is vitality.
Increasingly, admiration is directed toward individuals who remain energetic, cognitively sharp, physically capable, metabolically healthy, and independent well into later life.
Longevity is becoming less about extending existence and more about preserving capability.
As longevity becomes measurable, it also becomes visible. Biological age, recovery capacity, metabolic health, VO₂ max, muscle strength, sleep quality, and functional performance are emerging as indicators of personal health capital. The ability to preserve these assets over time increasingly signals capability, discipline, resilience, and agency.
The ultimate aspiration is no longer simply looking younger. It is remaining biologically younger.
This is visible in the language that now signals status: biological age, not chronological age; capability in the eighth decade, not appearance in the third; independence, not dependence.
It is visible in the consumer's willingness to pay for measurement, for insight, for protocol. It is visible in the way longevity has moved from a niche scientific concern to a mainstream cultural one, with its own media, its own language, its own aspirational figures.
Longevity is becoming the ultimate form of self-investment — the category of spending that compounds, in biological terms, over decades.
This cultural shift matters commercially because status markets attract disproportionate attention, investment, and willingness to pay.
The language of longevity — health span, biological age, resilience, functional independence — is becoming part of the new vocabulary of aspiration.
That makes longevity not only a scientific and healthcare category, but a cultural one.
A coordinated system
Lifestyle, physical performance, and nutrition are not separate pillars. They are components of a single coordinated system with five elements: movement, nutrition, recovery, data, and behaviour. Each component is necessary. None is sufficient on its own. The biology is clear on this, and the commercial architecture is now catching up.
Within this system, lifestyle and physical performance are the interfaces through which longevity science is translated into daily life. Nutrition is the control system — the input layer that governs whether the biology on the other side of those behaviours actually produces the intended outcome.
The future of health will not be defined by appearance. It will be defined by durability, capability, and independence over time — measured in biological markers, delivered through integrated systems, and owned by the operators that solve the behaviour layer at scale.
The longevity flywheel
Longevity is often discussed as a collection of separate interventions. In reality, it behaves more like a flywheel.
Nutrition supports physical performance. Physical performance improves metabolic health. Better metabolic health enhances recovery and resilience. Greater resilience supports long-term function and independence. Sustained function increases the capacity to maintain healthy behaviours.
Over time, these interactions become self-reinforcing. Small improvements accumulate. Biological advantages compound. The result is not simply a longer life, but a more capable one.
The defining challenge of the next health era is no longer treating disease. It is extending function. Longevity is not a supplement, a workout, a diagnostic test, or a medical intervention. It is a system.
Nutrition, physical performance, recovery, behaviour, and measurement are not independent variables, but interconnected components of a single architecture. Each influences the others. Each depends on the others.
Within that architecture, nutrition occupies a unique role. It is the biological input layer that shapes the conditions under which every other intervention operates. It governs adaptation. It influences resilience. It helps determine how effectively the body responds to the demands placed upon it.
The organisations that create the greatest value will be those that understand this shift and help individuals translate it into daily behaviour.
The next era of health will not be built only around treating disease. It will be built around preserving function. And every system designed to preserve function begins with biology — and, therefore, with nutrition.
About the author
Valerio Nannini is the founder of Nannini & Partners, an independent advisory firm working with boards, CEOs, executive teams, investors, and founders to accelerate growth, innovation performance, and strategic transformation across food, health, nutrition, and biotech. Former general manager of advanced proteins at Novonesis, where he led corporate venturing and growth platforms in biological and protein-based solutions, and former SVP, head of strategy & performance at Nestlé, with global accountability for innovation strategy, performance, and digital platforms – Nannini has 30+ years of experience across food, health, nutrition, advanced proteins, and biotech, and has operated at board, CEO, and regional managing director levels, with full P&L responsibility, turnaround experience, and governance exposure across Europe, Asia, Africa, and the United States.
References
Every substantive claim in this three-part series is grounded in peer-reviewed research, meta-analyses, or institutional data. References are grouped by theme and ordered from strongest primary evidence (meta-analyses, Cell / JAMA / BMJ / Nature papers) to authoritative secondary sources. Effect sizes are cited where they materially strengthen the argument.
- The healthspan–lifespan gap
Garmany A, Terzic A. Global Healthspan-Lifespan Gaps Among 183 World Health Organization Member States. JAMA Network Open. 2024;7(12):e2450241. Key finding: the global healthspan–lifespan gap widened from 8.5 years in 2000 to 9.6 years in 2019, a 13% increase; the United States has the largest gap at 12.4 years. DOI: 10.1001/jamanetworkopen.2024.50241
Garmany A, Terzic A. Healthspan-lifespan gap differs in magnitude and disease contribution across world regions. Communications Medicine (Nature). 2025. Regional disease-burden decomposition of the gap across 183 countries.
Garmany A, Yamada S, Terzic A. Longevity leap: mind the healthspan gap. NPJ Regenerative Medicine. 2021;6(1):57. Chronic/non-communicable diseases account for 71% of global deaths and 79% of years lived with disability.
- Cardiorespiratory fitness (VO₂ max) as a mortality predictor
Mandsager K, Harb S, Cremer P, Phelan D, Nissen SE, Jaber W. Association of Cardiorespiratory Fitness With Long-term Mortality Among Adults Undergoing Exercise Treadmill Testing. JAMA Network Open. 2018;1(6):e183605. Cleveland Clinic cohort of 122,007 adults: cardiorespiratory fitness was the strongest survival predictor, with no upper benefit ceiling.
Kokkinos P, Faselis C, Samuel IBH, et al. Cardiorespiratory Fitness and Mortality Risk Across the Spectra of Age, Race, and Sex. Journal of the American College of Cardiology. 2022;80(6):598–609. Cohort of >750,000 U.S. veterans — each 1-MET (~3.5 ml/kg/min VO₂ max) increase associated with a 13–15% reduction in all-cause mortality, independent of age, BMI, sex, and comorbidities.
Kodama S, Saito K, Tanaka S, et al. Cardiorespiratory Fitness as a Quantitative Predictor of All-Cause Mortality and Cardiovascular Events in Healthy Men and Women: A Meta-analysis. JAMA. 2009;301(19):2024–2035. Foundational meta-analysis establishing the dose–response relationship.
Lang JJ, Prince SA, Merucci K, et al. Cardiorespiratory fitness is a strong and consistent predictor of morbidity and mortality among adults: an overview of meta-analyses representing over 20.9 million observations from 199 unique cohort studies. British Journal of Sports Medicine. 2024. High vs low CRF: HR=0.47 (95% CI 0.39–0.56) for all-cause mortality; 11–17% reduction per 1-MET.
- Muscle mass and strength as longevity markers
García-Hermoso A, Cavero-Redondo I, Ramírez-Vélez R, et al. Muscular Strength as a Predictor of All-Cause Mortality in an Apparently Healthy Population: A Systematic Review and Meta-Analysis of Data From Approximately 2 Million Men and Women. Archives of Physical Medicine and Rehabilitation. 2018. Thirty-eight cohort studies, ~1.9 million participants: higher upper- and lower-body muscular strength associated with lower all-cause mortality, independent of age.
Li R, Xia J, Zhang XI, et al. Associations of Muscle Mass and Strength with All-Cause Mortality Among US Older Adults. Medicine & Science in Sports & Exercise. 2018. NHANES analysis: low muscle strength independently associated with 2–2.6× all-cause mortality risk regardless of muscle mass, metabolic syndrome, or physical activity.
Zhou H, Li C, Song W, et al. Association of muscle wasting with mortality risk among adults: A systematic review and meta-analysis of prospective studies. Journal of Cachexia, Sarcopenia and Muscle. 2023;14(4):1596–1612. Pooled evidence across general populations.
Andersen JH, Jørgensen TS, Pisinger C, et al. Association of Muscle Strength With All-Cause Mortality in the Oldest Old: Prospective Cohort Study From 28 Countries. Journal of Cachexia, Sarcopenia and Muscle. 2024;15(6):2348–2358.
- The biology of ageing and nutrient-sensing pathways
López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. Hallmarks of Aging: An Expanding Universe. Cell. 2023;186(2):243–278. Definitive update identifying twelve interconnected hallmarks: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, disabled macroautophagy, deregulated nutrient-sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, altered intercellular communication, chronic inflammation, and dysbiosis. DOI: 10.1016/j.cell.2022.11.001
López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. The Hallmarks of Aging. Cell. 2013;153(6):1194–1217. Original nine-hallmarks paper; one of the most cited works in aging biology, establishing mTOR, AMPK, sirtuins, and insulin/IGF-1 as core nutrient-sensing pathways governing aging.
Schmauck-Medina T, Molière A, Lautrup S, et al. New hallmarks of ageing: a 2022 Copenhagen ageing meeting summary. Aging (Albany NY). 2022;14(16):6829–6839. Consensus update adding compromised autophagy, microbiome disturbance, altered mechanical properties, splicing dysregulation, and inflammation.
- Chronic low-grade inflammation ("inflammaging")
Franceschi C, Campisi J. Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases. Journals of Gerontology: Series A. 2014;69(Suppl 1):S4–S9. Original framing of inflammaging as a major risk factor for morbidity and mortality; most age-related diseases share an inflammatory pathogenesis.
Li X, Li C, Zhang W, et al. Inflammation and aging: signaling pathways and intervention therapies. Signal Transduction and Targeted Therapy. 2023;8(1):239. Mechanistic review of inflammaging and intervention targets.
Fulop T, Larbi A, Pawelec G, et al. Immunosenescence and Inflammaging: Mechanisms and Role in Diseases. Frontiers in Immunology. 2024. Links inflammaging to cardiovascular disease, neurodegeneration, metabolic disease, and autoimmunity.
- Nutrition and diet quality — ultra-processed food as a signal layer
Lane MM, Gamage E, Du S, et al. Ultra-processed food exposure and adverse health outcomes: umbrella review of epidemiological meta-analyses. BMJ. 2024;384:e077310. Forty-five pooled meta-analyses, 9.9 million participants. Convincing (class I) evidence for: cardiovascular mortality (RR 1.50), type 2 diabetes (RR 1.12), anxiety (OR 1.48), and common mental disorders (OR 1.53). Highly suggestive evidence for all-cause mortality (RR 1.21) and heart disease mortality (HR 1.66). DOI: 10.1136/bmj-2023-077310
Dai S, Wellens J, Yang N, et al. Ultra-processed foods and human health: An umbrella review and updated meta-analyses of observational evidence. Clinical Nutrition. 2024;43(6):1386–1394. Updated meta-analyses across 49 unique health outcomes.
Hall KD, Ayuketah A, Brychta R, et al. Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell Metabolism. 2019;30(1):67–77. Controlled experimental evidence of the biological effect.
- The gut microbiome, diet, and healthy ageing
Ghosh TS, Shanahan F, O'Toole PW. The gut microbiome as a modulator of healthy ageing. Nature Reviews Gastroenterology & Hepatology. 2022;19(9):565–584. Authoritative review linking microbiome composition and function to healthy aging trajectories.
Badal VD, Vaccariello ED, Murray ER, et al. The Gut Microbiome, Aging, and Longevity: A Systematic Review. Nutrients. 2020;12(12):3759. Meta-review of microbiome diversity and centenarian studies.
Wilmanski T, Diener C, Rappaport N, et al. Gut microbiome pattern reflects healthy ageing and predicts survival in humans. Nature Metabolism. 2021;3(2):274–286. Microbiome-based signal of healthy aging in 9,000+ individuals.
- Metabolic health and continuous glucose monitoring
Richardson KM, Jospe MR, Bohlen LC, et al. The efficacy of using continuous glucose monitoring as a behaviour change tool in populations with and without diabetes: a systematic review and meta-analysis of randomised controlled trials. International Journal of Behavioral Nutrition and Physical Activity. 2024;21(1):143. Meta-analysis of CGM-driven behaviour change across diabetic and non-diabetic populations.
Hall H, Perelman D, Breschi A, et al. Glucotypes reveal new patterns of glucose dysregulation. PLoS Biology. 2018;16(7):e2005143. Demonstrated that ~24% of "normoglycemic" adults spent significant time in the prediabetic range, invisible to conventional testing.
Zeevi D, Korem T, Zmora N, et al. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015;163(5):1079–1094. Landmark PREDICT precursor: highly variable postprandial glycemic responses to identical foods, establishing the case for personalised rather than generic nutrition.
- Market size and the longevity economy
McKinsey & Company. The $2 Trillion Global Wellness Market Gets a Millennial and Gen Z Glow-Up. May 2025. Survey of 9,000+ consumers across US, UK, Germany, China. Up to 60% of consumers across markets report healthy aging as a top or very important priority. Identifies longevity, functional nutrition, and appearance/aesthetics among six high-growth subcategories.
McKinsey Health Institute & Future Investment Initiative Institute. The Promise of Longevity for Human Health and Prosperity. 2024. Global Healthy Aging Survey across 21 countries; estimates a $6.2 trillion potential GDP uplift from closing the healthspan gap. Adding one year of healthy life expectancy in the US estimated at $38 trillion in value.
McKinsey Global Institute. Prioritizing Health: A Prescription for Prosperity. 2020. Estimates that improving population health could add approximately 10 healthy midlife years and unlock trillions in economic value globally.
Hevolution Foundation & Economist Impact. The Longevity Economy. 2024. Global longevity economy valued at $8 trillion, projected to reach $12 trillion by 2030, spanning healthcare, wellness, nutrition, coaching, and real estate.
