Altus Private Health
A private, one-to-one programme of exercise, nutrition, sleep and recovery coaching, built on validated assessment and continuous monitoring, with clinical oversight from registered United Kingdom providers.
Programmes
Each programme includes everything in the one before it. We recommend a higher level only when the extra assessments would inform a decision that matters to you.
12 weeks, renewable
A structured start: a full intake assessment, two coached sessions a week and a clear picture of where you stand.
Includes
12 months
The full year, with laboratory measurement and a partner physician overseeing your results.
Adds
12 months
Our most complete service, for clients who want the greatest depth and flexibility.
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Fees are provided on enquiry. Scans that use radiation are carried out only when the imaging provider judges them justified. Medical treatment is not included.
A multi-domain, systems-level architecture for health, equity, and planetary stability â translating cutting-edge nutritional science into evidence-based practice.
scrollNutrition science has historically been characterised by reductionist approaches that isolate individual nutrients, behaviours, or biological mechanisms from the broader systems within which they operate. This chapter introduces the foundations of systems nutrition â a paradigm that conceptualises nutrition as an emergent property of interacting biological, behavioural, environmental, structural, and planetary systems.
The Human Nutrition Framework (HNF) operates across five nested domains and is designed to support cross-scale intervention and evaluation. A systems approach is not merely a conceptual preference but an empirical necessity for understanding and addressing the complex, interconnected determinants of nutritional health.
The global burden of nutrition-related disease represents one of the defining public health challenges of the twenty-first century. The prevailing paradigm in nutrition science remains predominantly reductionist: individual nutrients are evaluated against individual disease endpoints, dietary interventions are tested in populations assumed to be biologically and behaviourally homogeneous, and policy recommendations are derived from single-nutrient or single-food trials that inadequately capture the complexity of real-world dietary behaviour.[4,5]
A more adequate framework must recognise that nutrition outcomes emerge from the dynamic interaction of multiple biological, behavioural, environmental, and societal systems operating simultaneously across multiple scales of organisation.[7] This recognition constitutes the foundational insight of systems nutrition.
"The so-called 'diet wars' â persistent and publicly acrimonious debates about the relative merits of low-fat versus low-carbohydrate diets â are, in significant part, an artefact of reductionist framing."
Chapter 1 â Foundations of Systems NutritionModern nutrition science emerged in the late nineteenth century primarily concerned with the identification and prevention of deficiency diseases. Casimir Funk's isolation of thiamine in 1912 established a reductionist paradigm that dominated the discipline for much of the twentieth century.[10,11] The virtual elimination of scurvy, beriberi, pellagra, and rickets represents one of the great achievements of twentieth-century public health.[12]
Ancel Keys' Seven Countries Study (1970) established dietary fat as a primary cardiovascular risk determinant, inaugurating four decades of low-fat dietary guidance based on an incomplete causal model.[13,14] The Women's Health Initiative dietary modification trial (2006), involving 48,835 participants, found that a low-fat dietary intervention produced no significant reduction in cardiovascular disease, colorectal cancer, or breast cancer risk â a finding that profoundly challenged the dominant paradigm of the preceding three decades.[15]
The landmark PREDIMED trial of 7,447 participants demonstrated that a Mediterranean dietary pattern reduced major cardiovascular events by 30% (HR 0.70, 95% CI 0.54â0.92) compared with a low-fat control diet â findings that could not have been predicted from any single component of the dietary pattern.[16]
Nutritional health is ultimately expressed at the molecular and cellular level: the composition of the diet determines substrate availability for energy metabolism, gene expression, inflammatory signalling, and the structural integrity of cell membranes, organelles, and extracellular matrix. The biological domain of the HNF spans from individual nutrient-receptor interactions to the integrated physiology of organ systems whose collective function determines metabolic health and disease susceptibility.
Mitochondria occupy a central position in nutritional biology as the organelles responsible for oxidative phosphorylation and ATP synthesis from dietary substrates, and as integrators of nutrient-sensing signals through pathways including AMPK, mTORC1, SIRT1, and PGC-1α. Dietary macronutrient composition directly determines the relative oxidative burden on mitochondrial electron transport chains, with ketogenic and high-carbohydrate patterns producing distinct mitochondrial adaptations in substrate flexibility, reactive oxygen species generation, and uncoupling protein expression.
Skeletal muscle functions as a major endocrine organ, releasing myokines (IL-6, irisin, BDNF, meteorin-like) during contraction that exert beneficial effects on liver, adipose, bone, and brain â providing the molecular basis for why exercise and nutritional adequacy are synergistic rather than additive in their health effects.
Dietary behaviour is the proximal determinant of nutritional exposure and the primary target of most nutrition interventions, yet it is also among the most complex and poorly understood domains in nutrition science. Eating behaviour emerges from the interaction of neurobiological drives, habitual patterns, psychological states, social norms, cultural identity, and environmental cues â not from rational deliberation about nutritional information. Effective dietary behaviour change requires intervention across multiple behavioural domains simultaneously.
Nutritional knowledge is consistently uncorrelated with dietary behaviour in population studies. Decades of nutritional education campaigns have produced negligible population-level dietary improvement.[2,3] The dominant information-deficit model is empirically untenable.
A habit is a learned stimulus-response association in which a contextual cue automatically triggers a behavioural response without conscious deliberation. Habits are encoded in the basal ganglia through repeated performance of behaviour in a stable context, producing progressive shifts in neural control from the prefrontal cortex to the dorsomedial and dorsolateral striatum.[7] Estimates suggest that 40â50% of daily food choices are habitual â executed automatically in response to contextual cues rather than deliberatively chosen.[9]
Appetite is regulated through a dual system encompassing homeostatic mechanisms (leptin, ghrelin, peptide YY, GLP-1, and hypothalamic neuropeptide signalling) and hedonic mechanisms mediated by dopaminergic and opioid reward circuits in the ventral striatum and orbitofrontal cortex. Ultra-processed foods are specifically engineered to maximise palatability by combining sugar, fat, salt, and textural properties in combinations that overwhelm homeostatic satiety signals by activating hedonic reward circuits at intensities not encountered in whole-food dietary environments.
Chronic psychological stress produces bidirectional effects on dietary behaviour: cortisol-mediated upregulation of appetite and preference for energy-dense foods; reward system sensitisation increasing vulnerability to hedonic eating; executive function impairment reducing capacity for dietary self-regulation; and time and cognitive bandwidth depletion increasing reliance on convenience food choices. Mitochondrial dysfunction â produced by chronic stress through glucocorticoid-mediated suppression of mitochondrial biogenesis â itself impairs the cellular energy metabolism required for effective behavioural regulation.
Environmental determinants of nutritional health exert pervasive influence on dietary behaviour, metabolic function, and health outcomes that operates largely below the level of individual awareness or volitional control. These determinants are systematically patterned by socioeconomic position, geography, and ethnicity, and are primary drivers of nutritional inequity at population level. Environmental determinants are largely immune to individual-level behavioural approaches and require policy intervention.
The individual standing before a food choice is not making that choice in a vacuum. They are situated within a physical environment that determines which foods are available at what cost and in what proximity â the concept of the obesogenic environment introduced by Swinburn and colleagues in 1999.[1] Food deserts (where healthy affordable food is inaccessible) and food swamps (areas with overwhelming density of fast-food outlets relative to healthy retailers) represent the spatial distribution of nutritional disadvantage.
Endocrine-disrupting chemicals (EDCs) â including bisphenol A (BPA), phthalates, perfluoroalkyl substances (PFAS), and organochlorine pesticides â exert measurable effects on metabolic function through disruption of hormonal signalling pathways governing adipogenesis, insulin sensitivity, thyroid function, and appetite regulation.[18]
PFAS compounds found in non-stick cookware, food packaging, and drinking water supplies are associated with reduced vaccine efficacy, thyroid dysfunction, and altered lipid metabolism. Current dietary exposure levels in Europe and North America exceed health-based guidance values in a substantial proportion of the population.[19]
The built environment â including urban design, walkability, active transport infrastructure, and residential greenness â shapes both energy expenditure and food access. Neighbourhood walkability is positively associated with physical activity, healthy weight, and diet quality through multiple pathways including increased incidental physical activity and higher density of food retail options.
Structural determinants â the economic, political, and institutional arrangements that govern the distribution of power, resources, and opportunity â constitute the deepest and most consequential layer of the nutritional health system. They produce the food environments analysed in Chapter 4 and the psychological stressors shaping the behavioural systems in Chapter 3. Structural determinants require reform of the economic and political institutions that generate them.
"Obesity, type 2 diabetes, cardiovascular disease, and diet-related cancers all follow inverse socioeconomic gradients â with the steepness of those gradients correlated across countries with the degree of income inequality."
Chapter 5 â Structural Systems, citing Marmot et al.Healthy dietary patterns cost approximately two to three times as much per serving as unhealthy dietary patterns in high-income countries, making cost the primary structural barrier to dietary improvement in lower-income households.[6,7] The relationship between income and dietary quality operates as a dose-response gradient continuously across the full income distribution â not merely at the poverty threshold.
Time poverty â the insufficiency of time for health-promoting activities including food preparation â is a primary mediator of the dietary quality gap between socioeconomic groups. Households in the lowest income quintile devote approximately 35% more time to paid and unpaid work than those in the highest quintile, leaving substantially less time for dietary self-regulation and food preparation.[10] Shift work â disproportionately concentrated in lower-wage occupations â disrupts circadian rhythms in ways that independently impair glucose metabolism and increase appetite for energy-dense foods.
The 10 largest food companies control approximately 26% of global packaged food sales. Ultra-processed food manufacturers systematically invest in political lobbying, regulatory capture, scientific funding to produce industry-favourable research, and commercial strategies that undermine effective nutritional governance.[15]
The planetary systems within which human food production is embedded are undergoing simultaneous disruption unprecedented in the Holocene. The food system is both a primary driver of this disruption and a primary victim of it. The planetary and human nutritional health crises are not parallel challenges but aspects of a single systemic crisis.
Elevated atmospheric CO2 â now exceeding 420 ppm â reduces the concentrations of protein, iron, zinc, and B vitamins in staple crops through the CO2 fertilisation effect. Studies of wheat, rice, maize, and soybean grown under elevated CO2 demonstrate protein reductions of 6â15%, iron reductions of 5â8%, and zinc reductions of 4â9% compared with ambient conditions â with direct consequences for populations dependent on these staples.[5,6]
The global food system currently relies on approximately 12 plant species for 75% of human caloric intake â a narrowing from an estimated 7,000 plant species historically consumed. This agrobiodiversity collapse simultaneously impoverishes the micronutrient diversity of human diets, increases vulnerability to climate shocks, and threatens the pollinator services on which 35% of global crop production depends.[8]
The EATâLancet Commission established that feeding 10 billion people within planetary boundaries by 2050 requires approximately a 50% reduction in red meat and sugar consumption, and a doubling of fruits, vegetables, legumes, and nuts â a transformation that simultaneously optimises human health and reduces food system environmental impact.[14]
Regenerative agriculture â encompassing cover cropping, reduced tillage, polyculture, rotational grazing, and agroforestry â offers the potential to simultaneously restore soil carbon, enhance biodiversity, reduce synthetic input dependence, and improve the nutritional density of food. Evidence from comparative studies suggests that regeneratively managed soils may produce crops with higher micronutrient concentrations, reversing a secular decline in food nutritional quality documented since the mid-twentieth century.[16]
Systems integration is not merely a theoretical commitment but an empirical necessity: the failure of siloed nutritional interventions across multiple decades of public health practice is, from a systems perspective, entirely predictable. The design of interventions capable of producing durable population-level change requires explicit engagement with the cross-domain feedback architecture of the nutritional health system.
Donella Meadows' leverage-point hierarchy identifies the rules of a system (governance and regulation) and the goals of a system (the paradigm from which rules emerge) as the highest-leverage intervention points â far more powerful than parameter changes (tax rates, serving sizes) or information flows (labelling, education). Applied to the nutritional health system, this analysis indicates that governance reform is the highest-leverage intervention available, whilst individual dietary education operates at the lowest-leverage level of the system hierarchy.[9]
The complexity of the nutritional health system â characterised by non-linear dynamics, feedback loops, long delays between cause and effect, and emergent properties â fundamentally limits the capacity of conventional epidemiological methods to generate evidence required for effective systems-level policy. Modelling and simulation methods provide the tools necessary to interrogate complex systems, test intervention scenarios, forecast trajectories, and identify tipping points invisible to standard statistical analysis.
| Paradigm | Mechanism | Best Used For | Key Limitation |
|---|---|---|---|
| Systems Dynamics (SDM) | Stocks, flows, and feedback loops | Long-term policy consequences; delay effects | Aggregates population; cannot model individual heterogeneity |
| Agent-Based Modelling (ABM) | Individual agents with rules; emergent macro patterns | Social diffusion; spatial dynamics; heterogeneity | High data requirements; computational intensity |
| Network Analysis | Graph theory mapping relationships between nodes | Supply chains; dietary pattern clusters; social influence | Typically static; does not capture temporal dynamics |
| Integrated Assessment (IAM) | Links biophysical, economic, and health models | Global food-climate-health scenarios | Model uncertainty compounds across linked modules |
| Machine Learning / AI | Pattern recognition in high-dimensional data | Precision nutrition; risk prediction | Interpretability; causality not established |
The UK Government Foresight obesity system map (2007) mapped 108 variables and approximately 300 connections across seven domains of the obesity system and simulated the effects of alternative intervention portfolios. The primary finding â that no single intervention applied to any single domain would produce more than marginal population-level effects â provided the empirical basis for systems-level intervention recommendations that followed.[4,5]
The Weizmann Institute's PREDICT study demonstrated that glycaemic responses to identical foods varied so substantially between individuals â more than between-food variation â as to render population-average glycaemic index values largely uninformative for individual dietary management. Machine learning applied to genomic, microbiome, and metabolomic datasets is beginning to generate genuinely individualised dietary recommendations.[18]
Governance is the highest-leverage domain for nutritional health transformation. The most powerful determinants of population dietary quality are structural, environmental, and planetary in nature, and their transformation requires deliberate, sustained, and coherent governance action. The political difficulty of governance intervention is precisely commensurate with its leverage.
The same corporations whose products generate the most significant nutritional health burden are also the most active participants in the governance processes that determine how those products are regulated, marketed, and subsidised. This is the primary explanation for the systematic gap between the evidence base for effective nutritional governance and the policies that governments actually implement.[5,6]
The Framework Convention on Tobacco Control (2003) provides the most successful precedent for international treaty-based health governance â a legally binding agreement that has driven tobacco control policy adoption globally and produced significant reductions in tobacco consumption. An analogous Framework Convention on Food Systems has been proposed as a vehicle for establishing internationally binding standards for food marketing, labelling, corporate accountability, subsidy reform, and trade policy.[17,18]
No single factor determines nutritional health. Biological, behavioural, environmental, structural, and planetary systems interact continuously.
The most important dynamics of nutritional systems are self-amplifying loops that produce non-linear outcomes, not linear dose-response chains.
Changing the rules of the food system via regulation, taxation, and corporate accountability produces larger and more durable effects than information or individual intervention.
The dietary transformation required for planetary stability is the same transformation required for optimal human nutritional health.
Socioeconomic gradients in dietary quality reflect structural disadvantage â cost, time poverty, food environment â not personal preferences or knowledge deficits.
Future nutritional practice will combine systems-level population interventions with genuinely individualised recommendations derived from genomic, microbiome, and metabolomic data.
