Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-25T19:55:00.961Z Has data issue: false hasContentIssue false

From lifespan to healthspan: the role of nutrition in healthy ageing

Published online by Cambridge University Press:  24 August 2020

Kremlin Wickramasinghe
Affiliation:
WHO European Office for Prevention and Control of Noncommunicable Diseases (NCD Office), Moscow, Russian Federation
John C. Mathers
Affiliation:
Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon TyneNE2 4HH, UK
Suzan Wopereis
Affiliation:
Research Group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, NL-3704 HE, The Netherlands
Daniel S. Marsman
Affiliation:
Global Product Stewardship, P&G Health, Mason, OH45040, USA
James C. Griffiths*
Affiliation:
International and Scientific Affairs, Council for Responsible Nutrition-International, Washington, DC20036, USA
*
*Corresponding author: James C. Griffiths, email jgriffiths@crnusa.org

Abstract

Across the globe, there has been a marked increase in longevity, but significant inequalities remain. These are exacerbated by inadequate access to proper nutrition and health care services and to reliable information to make the decisions related to nutrition and health care. Many in economically developing as well as developed societies are plagued with the double-burden of energy excess and undernutrition. This has resulted in mental and physical deterioration, increased non-communicable disease rates, lost productivity, increased medical costs and reduced quality of life. While adequate nutrition is fundamental to good health at all stages of the life course, the impact of diet on prolonging good quality of life during ageing remains unclear. For progress to continue, there is need for new and/or innovative approaches to promoting health as individuals age, as well as qualitative and quantitative biomarkers and other accepted tools that can measure improvements in physiological integrity throughout life. A framework for progress has been proposed by the World Health Organization in their Global Strategy and Action Plan on Ageing and Health. Here, we focused on the impact of nutrition within this framework, which takes a broad, person-centred emphasis on healthy ageing, stressing the need to better understand each individual's intrinsic capacity, their functional abilities at various life stages, and the impact of their mental, and physical health, as well as the environments they inhabit.

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society

The human lifespan has substantially extended since the 1900s, due largely to interventions that have reduced infant and childhood mortality, coupled with medical-surgical advances that have had a particular impact on older people. However, this lifespan expansion has not resulted in robust health for everyone during ageing and there has been a substantial increase in age-associated morbidity. The research field of healthy ageing has developed to identify risk factors impacting on health and quality of life and to provide evidence of effective and acceptable interventions.

The concept of a well-balanced diet has long been advocated for a healthy life. However, more recently it has become apparent that nutritional needs vary greatly across and within age groups, and thus, generic dietary recommendations may not be optimal for everyone in the population. This inter-individual variability in nutritional needs is likely to be exacerbated with increasing chronological age, due to the effects of environmental stressors, lifestyle choices and chronic disease. Adequate physical activity, optimal nutrition, restorative sleep, and the minimisation of personal risk factors are all critical to a healthy lifespan. The WHO report on healthy ageing(1,2) notes that within intrinsic capacity, an individual has countless choices that lead to good health (or lack thereof) both now and later in life(Reference Kalache, de Hoogh and Howlett3Reference Shao, Drewnowski and Willcox5).

A long-term view of healthy ageing requires respect for the highly diverse needs and expectations across the lifespan. In the present paper, we explored diverse lifestyle and risk factors impacting healthy ageing, and the overarching role of good nutrition in meeting the needs of heterogeneous older populations. While medical-surgical interventions and dietetic practices have always been patient-focused individual matters, more recent research has focused on societal dietary advice to improve health and well-being. Understanding individual extrinsic and intrinsic influencers (including individual behaviours and individual-specific data) may provide a basis for personalised nutritional interventions to enhance human healthspan.

The public health significance of improving healthspan (v. lifespan)

For more than 150 years, life expectancy has been increasing due, initially, to reductions in childhood mortality and, since the middle of the 20th century, to declining late-life mortality(Reference Kirkwood6). This has led to accelerating growth in the numbers of centenarians in countries with the greatest life expectancy(Reference Vaupel7).

But not for everyone, everywhere. Inequalities abound; for example, life expectancy in Europe varies markedly between Eastern European and Western European countries. Besides geography, gender has a great impact on humans’ life expectancy. Even though men self-report a higher subjective health than women, their life expectancy can be up to 10 years shorter, perhaps due to a lifestyle, fraught with more risk factors which lead to higher rates of high blood pressure, high blood sugar and cardiovascular disease (CVD) compared to women(8).

In Eastern European countries, 37 % of male deaths related to non-communicable diseases (NCDs) occur before the age of 60, often caused by cancer(9), exacerbated by men's lower usage of prevention and health care services and the tendency to seek medical help later as compared to women(10). The main NCD risk factors are dietary risks, tobacco, raised systolic blood pressure (BP), alcohol and drug use(9) and may also be due to cultural gender roles and socio-economic factors that affect men more than women(10).

Age-specific prevalence of dementia is falling in some countries, including the UK(Reference Matthews, Arthur and Barnes11), probably because of reduced smoking, more effective treatment of CVD risk factors, such as raised BP and raised blood lipids and better education. However, even with some positive trends, the growing number of older people means that by 2050, the total number of those living with dementia is expected to be over 130 million (about three times greater than now).

The extension in life expectancy that is resulting from advances in prevention and treatment of multiple diseases is changing the age distribution of the population, which is becoming older. In the year 2015, more than 25 % of the European population was 60+ years old, and by the year 2050, more than 30 % of Europeans will be over 60 years old(1). Such demographic changes demand more knowledge on the unique physiology of elderly subjects. Apart from obvious changes such as in reproductive function and body composition, the ageing process is associated with the metabolic alterations leading to the development of NCDs, such as Diabetes Mellitus type II(12). Further, the accumulation of molecular damage caused by inflammation, oxidation and dysmetabolism(Reference Malcomson and Mathers13Reference Kirkwood15) can lead to the development of CVD, leading causes of mortality and morbidity(Reference van den Brink, van Bilsen and Salic16). Therefore, the regulation of inflammation, oxidation and metabolism is paramount to ‘optimal resilient ageing’, i.e., the natural ageing process with the highest possible physical, mental and social well-being, and with the lowest incidence of cardiometabolic diseases(Reference Huber, Knottnerus and Green17).

Billions of people around the world are affected by NCDs at all stages of the 'life course', from childhood to old age, with premature death mainly caused by the following four NCDs: cardiovascular diseases; cancers; chronic respiratory diseases; diabetes. These four diseases are largely preventable through public policies that tackle the four main risk factors: tobacco use; harmful use of alcohol; unhealthy diets; physical inactivity(18).

Optimal nutrition and physical activity through the life course are essential for health and quality of life. A life course approach is key to the prevention and control of diet-related NCDs and malnutrition in all its forms. The approach starts by addressing maternal nutritional status and health before and during pregnancy and continues with proper infant feeding practices, including the promotion of exclusive breastfeeding and healthy complementary feeding. Action to encourage healthy diets for children, adolescents and young people is reinforced and sustained by the promotion of a healthy diet during the working life, nutrition for healthy ageing and nutritional care for elderly people. It also includes nutritional care for patients with disease-related nutritional problems, including micronutrient deficiencies(19).

At this time of encouraging health promotion, it is concerning to note that the WHO European Region has the lowest global breastfeeding rates. Social marginalisation, policies in the workplace and the employment market, marketing of breast-milk substitutes, and commercial ‘follow-on’ and complementary foods are just some of the reasons for low breastfeeding rates in this region. Mothers with low socio-economic status, often without employment policies that allow time at home with the newborn, are up to ten times less likely to begin breastfeeding, and this tendency is transmitted through generations(20).

Good nutrition and a healthy diet during pregnancy are critical for a mother's health, as well as that of her child. A healthy diet contains adequate energy, protein, vitamins and minerals, obtained from a variety of foods, including green and orange vegetables, meat, fish, beans, nuts, whole grains and fruit(21). Evidence suggests that proactive nutrition education and counselling may reduce gestational diabetes and support optimal gestational weight gain, reduce the risk of anaemia in late pregnancy and lower the risk of preterm delivery. This strategy aims to increase the diversity and amount of foods consumed; promote adequate weight gain through sufficient and balanced protein and energy intake; and promote consistent and continued use of micronutrient supplements, food supplements or fortified foods(21).

Pregnant women require additional iron and folic acid to meet their own nutritional needs, as well as those of the developing foetus. Evidence has shown that the use of iron and folic acid supplements is associated with a reduced risk of iron deficiency and anaemia in pregnant women and promotes healthy fetal development(21). Breastfeeding has been identified as a protective factor against obesity(Reference Rito, Buoncristiano and Spinelli22). Therefore, all mothers should be supported to initiate breastfeeding as soon as possible after delivery, ideally within the first hour after the birth of their infant(21).

Good nutrition in infancy and early childhood is the key to ensure optimal child growth and development, as well as better health outcomes later in life, such as the prevention of malnutrition in all its forms, including overweight, obesity and diet-related NCDs(23). A study of the availability, composition and marketing of baby foods in four countries (Austria, Bulgaria, Hungary and Israel) found evidence of widespread inappropriate promotion of commercial foods for infants and young children(24). Despite globally agreed regulations on the promotion of foods for infants and children, many companies that make and sell commercial baby foods fail to comply with these rules. Action is, therefore, required by countries, with the support of the WHO Regional Office, to fully implement this nearly 40-year-old Code of Practice and additional WHO Guidance, in order to prevent the promotion of nutritionally inappropriate products and/or use of inappropriate promotional techniques(23).

It is particularly important to address the issue of high total sugars, use of sweet ingredients and misleading product names. Sugar, fruit juice, concentrated fruit juice and other sweetening agents should not be added to foods for infants and young children. Manufacturers and retailers should comply with the International Code and the WHO Guidance(23).

Promoting sound nutrition and physical activity are essential for the success of the Sustainable Development Goals, the WHO blueprint to achieve a better and more sustainable future for all. In November 2019, the WHO European Office hosted an expert meeting to assemble all stakeholders, from Health Ministers to nutritionists, from academic researchers to culinary professionals, to create effective, functional and, most importantly, reliable action steps. The outcome of this meeting was a framework for all European Member States to adjust national guidelines to take a necessary lead in promoting healthy and sustainable dietary guidelines for all.

Sustainable Healthy Diets are dietary patterns that promote all dimensions of individuals’ health and well-being; have low environmental pressure and impact; are accessible, affordable, safe and equitable; and are culturally acceptable. The aims of Sustainable Healthy Diets are to (a) promote optimal growth and development and support physical, mental, and social well-being at all life stages for present and future generations; (b) contribute to preventing all forms of malnutrition (i.e., undernutrition, micronutrient deficiency, overweight and obesity); (c) reduce the risk of diet-related NCDs; (d) support the preservation of biodiversity and planetary health(24).

A study by Springmann et al.(Reference Springmann, Wiebe and Mason-D'Croz25) modelled the impact on people's health, as well as on the environment by replacing animal-source foods with plant-based ones and looked at outcomes such as the reduction of premature mortality, improvement of nutrient levels and reducing environmental impact. The results demonstrate that a predominantly plant-based diet has positive effects on environmental pressure, on potential nutrient deficits and could decrease diet-related mortality. There needs to be a strong consultation and discussion on the impact of reduced animal-sourced foods on the protein intake of subpopulations such as the elderly. The socio-economic status of countries was taken into consideration when analysing the results, and the modelling showed that only low-income countries would have difficulties fulfilling the nutrient intake recommendations when changing to an exclusively plant-based diet(Reference Springmann, Wiebe and Mason-D'Croz25).

Due to the high burden of NCDs throughout the life course, the education of primary health care providers as to the risk factors could be an effective way to support changing patient behaviour. Risk identification and individual consultation offered to patients are recommended by WHO as effective and cost-effective, especially when combining consultations on dietary and physical activity behaviour. The main challenges for implementing diet, physical activity and weight management into primary care are the poor health literacy, beliefs and attitudes, the lack of dedicated clinical guidelines and protocols for primary care, the lack of defined scope of practice, outdated knowledge, skills and competence, misalignment of payment mechanisms for these services and insufficient information technology infrastructure and tools(26).

A longer life brings great opportunities. Yet the extent to which we as individuals and society can benefit from these extra years depends heavily on one key factor - ‘health’. Healthy ageing is defined as the process of developing and maintaining the functional ability that enables well-being in older age and can be achieved with a commitment to action, an alignment of health systems, the development of age-friendly environments and more research. Healthy ageing is a process that spans the entire life course and is relevant to everyone, not just to those who are presently free of disease. The intrinsic capacity of the individual (i.e., the combination of all the individual's physical and mental – including psychosocial – capacities), at any point in time is determined by many factors, including underlying physiological and psychological changes, health-related behaviours and the presence or absence of disease. These, in turn, are strongly influenced by the environments in which people have lived throughout their lives, which are also strongly influenced by personal characteristics such as gender and race(Reference Marsman, Belsky and Gregori4,27) .

Increasing age coincides with many physiological changes that increase the risk of undernutrition, affecting up to 22 % of individuals, with subsequent physical and cognitive impairments, including reduced bone and muscle mass, increased frailty, diminished cognitive function and ability to care for oneself, and thus a higher risk of becoming dependent on care(21). Sensory impairments (a decreased sense of taste and smell, for example), poor oral health, isolation, loneliness and depression – individually or in combination – all increase the risk of undernutrition in older age. Ageing is associated with changes in body composition; after the age of 60 years, there can be a progressive decrease in body weight that results mainly from a decrease in lean mass with an increase in fat mass. However, a stable body weight can mask age-related changes in body composition. Older people who do not consume enough protein are at increased risk of developing sarcopenia, a condition that leads to age-related loss of muscle mass and strength, osteoporosis and impaired immune response. Evidence indicates that oral nutritional supplements for older adults with undernutrition can significantly reduce mortality and improve body composition(21).

Protein absorption decreases with age. Low protein intake is associated with loss of lean body mass, and standard protein intake, i.e., the daily recommended protein intake for adults, may not be sufficient for older people. The effects of exercise can be enhanced by combining it with increased protein intake and other nutritional interventions to prevent age-related loss of muscle mass and strength. Dietary counselling is important to ensure a healthy diet that provides adequate amounts of energy, protein and micronutrients and should be encouraged for all older people, including those who are at risk of or affected by undernutrition(28).

Healthier populations are achieved through multi-sectoral actions that are not limited to health systems alone, though often using the stewardship, advocacy and regulatory functions of health ministries(21). Countries vary widely in their ability to take action against NCDs. Progress has been limited, even though many recommendations exist. Political leadership and responsibility are needed at all levels from capitals to villages. Governments should identify and implement a specific set of priorities within the overall NCD and mental health agenda, based on public health needs, reorient health systems to include health promotion and the prevention and control of NCDs and mental health and set a whole-of-society approach to NCDs. Further, experiences and challenges including policy models that work and develop a new economic paradigm for funding action on NCDs and mental health should be shared(18).

Dietary interventions to promote healthier ageing

At an individual level, the ageing process is ‘plastic’. It can be accelerated by poor diet, lack of physical activity and exposure to hazardous environmental factors, including cigarette smoke and air pollution(Reference Kirkwood6). Conversely, ageing can be slowed through healthier lifestyles and by more favourable environments(Reference Mathers29). As a consequence, adopting healthier dietary patterns and avoiding obesity are important strategies to enable individuals to age more healthily and to minimise the risk of multiple age-related diseases(Reference Kiefte-de Jong, Mathers and Franco30). The mechanisms through which altered diet improves ageing are not well understood, but it seems likely that a wide range of food-derived factors counteracts the molecular damage and mitigates the associated functional changes that are hallmarks of the ageing process(Reference Malcomson and Mathers13,Reference Lopez-Otin, Blasco and Partridge14) . Such damage is due to normal cellular processes, including inflammation, metabolic stress and oxidative stress/redox changes. Evidence that dietary exposures pre-pregnancy(Reference Fleming, Watkins and Velazquez31) and during the first 1000 days of life(Reference Langie, Lara and Mathers32) influence the ageing trajectory supports the idea that better diets throughout the life course will maximise the potential for healthier ageing. However, improving eating behaviours in mid to later life is also likely to be beneficial(Reference Kiefte-de Jong, Mathers and Franco30).

In the EPIC-Norfolk prospective cohort study, those middle-aged individuals exhibiting more beneficial health behaviours at baseline had substantially reduced risk of mortality during the subsequent 14 years of follow-up(Reference Khaw, Wareham and Bingham33). These health behaviours included not smoking, being physically active, modest alcohol intake and better diet(Reference Khaw, Wareham and Bingham33). The importance of the overall diet is emphasised by studies of adherence to the Mediterranean diet (MD), a plant-based eating pattern that is characterised by frugality and moderation and associated with conviviality, culinary activities, physical activity and adequate rest(Reference Bach-Faig, Berry and Lairon34). In the EPIC Elderly study of >75 000 men and women, aged 60+ years who were initially healthy (no coronary heart disease, stroke or cancer at enrolment), greater adherence to the MD was associated with lower subsequent mortality(Reference Trichopoulou, Orfanos and Norat35). This study was carried out across ten European countries and found no evidence of heterogeneity between countries, suggesting that diet, not geography, was the critical determinant of mortality risk(Reference Trichopoulou, Orfanos and Norat35). In the EPIC-Norfolk cohort, greater adherence to the MD was associated with better cognitive function and lower risk of poor cognition in older UK adults(Reference Shannon, Stephan and Granic36) (Fig. 1). These observations have been strengthened by systematic reviews and meta-analyses which provide consistent evidence that higher MD adherence is associated with lower later life mortality and lower deaths from, or incidence of, major age-related disease(Reference Sofi, Cesari and Abbate38). Brain tissue volume falls during ageing and the rate of brain atrophy is increased in those with, or at risk of developing dementia. Using magnetic resonance imaging (MRI) to quantify brain volume in a birth cohort of people who were studied when aged 73 years, Luciano et al.(Reference Luciano, Corley and Cox39) observed that those with higher MD adherence had significantly lower rates of brain atrophy over the following 3 years.

Fig. 1. Associations between Mediterranean diet adherence and risk of poor cognitive performance assessed by the Hopkins Verbal Learning Test among participants (n 7589) in the European Prospective Investigation into Cancer and Nutrition-Norfolk study. Poor performance was defined as a score in the bottom 10 % of the population distribution of the test. Results are expressed as odds ratios (ORs) plus 95 % CIs for poor cognitive performance with medium and high compared with the lowest tertile of Mediterranean diet adherence (dashed line) quantified using three different methods of assessing adherence. These were: (a) the standard Mediterranean Diet Adherence Screener (MEDAS) (score); (b) the MEDAS Continuous that is similar to the standard MEDAS but with points allocated on a continuous basis (i.e., between 0 and 1) depending on closeness to the dietary target; (c) the Pyramid score, a 15-point scoring system proposed by the Mediterranean Diet Foundation(Reference Bach-Faig, Berry and Lairon37). Further details of these scoring methods are provided by Shannon et al. (Reference Shannon, Stephan and Granic36). *Significantly lower risk of poor cognitive performance compared with the lowest tertile of Mediterranean diet adherence (P < 0⋅05).

Given the pervasive effect of multiple dietary factors in mitigating the whole body dysfunction that characterises ageing(Reference Malcomson and Mathers13), it is unsurprising that implementing widespread dietary change, i.e., improving eating patterns, has provided some of the strongest evidence for beneficial effects of nutrition on ageing-related outcomes. Survivors of an initial cardiovascular event who were randomised to a MD in the Lyon Diet Heart Study (a secondary prevention trial) had significantly lower risk of a subsequent cardiovascular event(Reference de Lorgeril, Salen and Martin40). In the PREDIMED Study, middle-aged men and women at increased CVD risk who were randomised to a MD pattern with supplemental extra virgin olive oil or nuts had significantly lower CVD than those randomised to the control diet (advice to reduce dietary fat)(Reference Estruch, Ros and Salas-Salvadó41).

Unhealthy lifestyles, characterised by inadequate physical activity and excess consumption of energy-rich foods, have led to a worldwide epidemic of obesity(Reference Ng, Fleming and Robinson42). Obesity is associated with chronic systemic inflammation, which causes pervasive damage to macromolecules in all cell types, tissues and organs that, in turn, contribute to greater risk of multiple age-related diseases(Reference Handschin and Spiegelman43). Using data from the Swedish Twin Registry, Xu et al.(Reference Xu, Atti and Gatz44) reported that adiposity in middle age (mean 43 years) was a strong predictor of subsequent risk of dementia with those who were obese in middle age having 2.5 times greater dementia risk than those with BMI 20–25. More generally, there is growing evidence that several aspects of the modern lifestyle may have adverse effects on longevity(Reference Xu, Atti and Gatz44).

The public health challenge is to develop, and deliver, interventions that result in healthier ageing in ways that are acceptable to the participants, cost-effective, sustainable and scalable. One of the impediments to research in this area is the absence of a reliable indicator of healthy ageing(Reference López-Otín, Galluzzi and Freije45). Given the pervasive nature of ageing, it seems likely that panels of measures will have greater utility than individual biomarkers(Reference Lara, Cooper and Nissan46,Reference Kemp, Birrell and Clegg47) . For example, assessing function across a range of physiological, psychological and social domains, as encapsulated in the Healthy Ageing Phenotype, may be a useful outcome measure in intervention studies attempting to enhance healthy ageing(Reference Lara, Godfrey and Evans48).

To date, most relevant intervention studies have focused on prevention of common age-related diseases, rather than attempting to improve healthy ageing per se. Present evidence suggests that improving lifestyle (including avoiding obesity, being more physically active and adoption of healthier eating patterns such as the MD) will play a central role in lowering dementia risk(Reference Livingston, Sommerlad and Orgeta49). The FINGER trial tested the hypothesis that a multi-domain intervention (diet, exercise, cognitive training and vascular risk monitoring) would reduce the rate of cognitive decline in at risk, older people from the general population(Reference Ngandu, Lehtisalo and Solomon50). After 2 years, those randomised to the intervention had reduced rates of decline in processing speed and executive function(Reference Ngandu, Lehtisalo and Solomon50), providing evidence that such multi-domain interventions have potential to improve cognitive function during ageing and to reduce dementia risk.

To be useful at a population level, interventions designed to improve lifestyle behaviours, and so enhance healthy ageing, should take account of the heterogeneity of older people (in terms of both needs and wants) and should be capable of implementation at scale, in a cost-effective manner. Personalised or stratified web-based interventions(Reference Celis-Morales, Lara and Mathers51,Reference Celis-Morales, Livingstone and Marsaux52) offer the potential to achieve these goals and to embed behaviour change techniques that improve effectiveness(Reference O'Brien, Heaven and Teal53) (Fig. 2). A pilot study of the web-based LEAP intervention which was designed to enhance healthy ageing by shifting eating patterns towards a MD, improving social networks and increasing physical activity(Reference Lara, O'Brien and Godfrey54) was well-received by older people and showed good feasibility for larger studies(Reference Lara, O'Brien and Godfrey54).

Fig. 2. Overview of the systematic, sequential approach to intervention co-design and development used to develop the LEAP (Living, Eating, Activity and Planning) online platform. LEAP incorporates selected behaviour change techniques and is designed to provide personalised support in making changes to diet (to increase adherence to the Mediterranean dietary pattern), physical activity and social roles/ networks and to enhance healthy ageing(Reference O'Brien, Heaven and Teal53).

Impact of (personalised) nutrition on healthy ageing from the perspective of phenotypic flexibility

From a metabolic point of view, optimal resilient ageing can be defined as the ability of a person to maintain or regain homeostasis in an ever-changing environment, especially in response to a wide range of stressors, i.e., a person's capacity to adapt. For a person to remain healthy in the presence of unpredictable changes require a high degree of flexibility or plasticity since the body needs to be able to adjust regulatory and adaptive processes, such as endocrine activity, metabolism and inflammatory signalling to control core metabolic biomarkers, such as plasma glucose, triacylglycerol and C-reactive protein(Reference Kardinaal, van Erk and Dutman55). Thus, a person who has optimal resilient ageing is, in fact, continuously changing their phenotype in response to an ever-changing environment, including the intake of food and/or levels of physical exercise. Their ability to adapt can act as an indicator for maintenance or improvement of physiological function or health status. The term ‘phenotypic flexibility’ or ‘resilience’ expresses the cumulative ability of overarching physiological processes (e.g., metabolism, inflammation and oxidation) to return to homeostatic levels after short-term perturbations(Reference van Ommen, van der Greef and Ordovas56).

In the last decade, a new methodology has been established to quantify ‘phenotypic flexibility’ or ‘resilience’, for example, the analysis of post-prandial responses after a standardised mixed-meal challenge test provides a measure of metabolic resilience and allows the identification of dynamic phenotypic traits associated with early stages of NCDs(Reference Stroeve, van Wietmarschen and Kremer57).

This concept of phenotypic flexibility or challenge testing has been used in several nutritional intervention studies to quantify the health effect of a specific intervention on health including health modulation by nutrition(Reference Kardinaal, van Erk and Dutman55,Reference Bakker, van Erk and Pellis58Reference Hoevenaars, Esser and Schutte63) . However, there was a need for a generic holistic standardised challenge test that would be able to pick up the early signs of individual homeostatic disturbances as well as assessing (individual) health benefits from nutrition by showing an optimised response to the challenge test. Based on an extensive literature evaluation, the so-called PhenFlex challenge test was developed, which is a 500 ml drink containing 60 g of palm olein, 75 g of glucose and 20 g of casein(Reference Stroeve, van Wietmarschen and Kremer57). The idea was that the collection of a multitude of biomarker response-profiles reflecting defined and accepted biological processes followed by sophisticated multivariate statistical analyses could be more powerful in detecting early changes than the limited set of individual biomarkers/single blood markers after an overnight fast. To investigate if this phenotypic flexibility approach had potential, a number of human volunteer studies have been performed in type II diabetics as well as in healthy populations(Reference Wopereis, Stroeve and Stafleu64,Reference van den Broek, Bakker and Rubingh65) . It has been shown that quantification of phenotypic flexibility via the PhenFlex challenge test could discriminate between young, lean male and female persons as compared to overweight and obese elderly within the healthy range of the population(Reference van den Broek, Bakker and Rubingh65). It has also been shown that increasing body fat increases the so-called metabolic age of persons(Reference Wopereis, Stroeve and Stafleu64,Reference van den Broek, Bakker and Rubingh65) . Furthermore, cardiometabolic disease, such as type II diabetes, even further increases the metabolic age of individuals(Reference van den Broek, Bakker and Rubingh65). Fig. 3 shows the visualisation of this decrease in optimal resilient ageing with increasing body fat and the presence of metabolic disease.

Fig. 3. Health space that visualises the increase of a person's metabolic age with age, body fat and the presence of a metabolic disorder such as type II diabetes mellitus. The circles represent different male individuals from two studies focusing on health quantification by means of phenotypic flexibility(Reference Wopereis, Stroeve and Stafleu64,Reference van den Broek, Bakker and Rubingh65) . The health space is defined by four axes that summarise all biomarkers related to the capacity to deal with ‘lipids or fats’, ‘glucose or carbohydrates’, ‘proteins’ and the size of the circle summarises the individual metabolic stress state referring to inflammation and oxidative stress. The colour coding of the circles have the following meaning: red, healthy young (age 20–30) and lean (low body fat percentage); marine blue, healthy elderly (age 60–70) and overweight (normal to high body fat percentage); green, healthy adults (age 30–60) with low body fat percentage; yellow and aqua-green, healthy adults (age 30–60) with normal body fat percentage; orange, healthy adults (age 30–60) with high body fat percentage; brown, male adults (age 30–60) with type II diabetes. Adapted from van den Broek et al. (Reference van den Broek, Bakker and Rubingh65).

Further, this standardised phenotypic flexibility toolbox demonstrated the health benefit of whole grain wheat on intrahepatic lipid, liver resilience, as well as inflammatory resilience, hypothetically by modulating the hepatic lipid efflux of obese male and female persons(Reference Hoevenaars, Esser and Schutte63,Reference Schutte, Esser and Hoevenaars66) . Another study, focusing on the health benefits of reduced caloric intake in overweight and obese persons showed that the quantification of phenotypic flexibility could discriminate between responders and non-responders to this lifestyle intervention. Persons who have relatively high flexibility at baseline (which translates to a relative young metabolic age) did not change their metabolic health state, although they lost on average 5 kg of weight over a period of 12 weeks (so-called non-responders), whereas persons with a relative high metabolic age at baseline improve their health as a result of the weight loss (so-called responders). Phenotypic measures showed improvement of several clinical markers, but also a significant reduction of intra-organ fat such as liver fat and intra-abdominal adipose tissue, which did not change in the non-responders, who already had significant lower intra-organ fat as compared to the responders (Fig. 4). This could also provide an explanation for why the mixed-meal challenge was not superior to measurements in the fasted state to assess metabolic health in a weight loss study in abdominally obese men(Reference Fazelzadeh, Hangelbroek and Joris67).

Fig. 4. In a human intervention study, focusing on the effect of weight loss (20 % reduction in energy intake for 12 weeks) on ‘resilient ageing’, the quantification of phenotypic flexibility identified subjects with different susceptibility to weight loss-mediated metabolic improvements. Persons who had a reduced resilience (inflexible persons) showed a significant metabolic improvement after 12 weeks of intervention, whereas persons with normal resilience had an unaltered metabolic age.

It is envisioned that nutrition in 10 years will be much more personal, i.e., the use of individual-specific information, founded in evidence-based science, to promote dietary behaviour change that may result in measurable health benefits(Reference Adams, Anthony and Carvajal68). The nutritional intervention or dietary advice will be based on a diagnosis, by using personal health data including biological (phenotypic flexibility) as well as behavioural measures. A systems-biology model will be used to translate the personal 360° health diagnosis into personalised nutritional advice. This model is tailored to specific personal preferences and goals, to gain better adherence to the diet(Reference Kalache, de Hoogh and Howlett3,Reference van Ommen, van den Broek and de Hoogh69) . When progressing from Lifespan to Healthspan, it is envisioned that personal health data collection will start at an early age. For example, from a young age, we go to the dentist twice a year in order to address and prevent oral problems. But for the greatest good – our health – we do not follow this type of prevention. Why not a regular routine health check for everyone? It is envisioned that such a health check could be based on an overarching view of health that focuses on a person's biology but is integrated with their thoughts and feelings, lifestyle behaviour and context(Reference Adams, Anthony and Carvajal68). By evaluating a person's health data over time, it may enable one to monitor a person's phenotypic flexibility, i.e., how a person is responding to stressors over a longer period of time. Based on derailments from a person's predicted health trajectory, notifications could be sent from a digital ‘health companion’, with advice on nutrition and lifestyle tailored to their biology and preferences. People could be guided to services and products to restore them to their resilient ageing trajectory. This could facilitate the transition from the present health care system that focuses on ‘disease treatment’ to a system that promotes and delivers real ‘health care’, i.e., a society focusing on the proactive maintenance of health and prevention of NCDs, thereby adding life to years (Fig. 5)!

Fig. 5. The envisioned transition from lifespan to healthspan: persons should have a regular health check through the lifespan like presently is the case within dentistry. Based on digital 360° individual data on a person's biology (including phenotypic flexibility), thinking and feeling, lifestyle behaviour and contextual environment, it can be determined if a person is following their optimal ageing trajectory. When deviation from this trajectory is noticed, personalized nutrition and lifestyle advice can be provided, thereby adding life to years by preventing non-communicable diseases (NCDs).

Conclusion

As discussed in the present paper, many countries are witnessing a marked increase in longevity and with this increased lifespan the concomitant desire for maximising healthspan. Unfortunately, greater life expectancy is often accompanied by more years of ill-health due to both physical and mental deterioration with its associated escalating costs for health and social care. Although good nutrition is fundamental for good health, the specific dietary interventions and/or nutrients that can enhance individual healthspan remain poorly understood. As discussed, there is growing evidence that (1) access to better nutrition; (2) improved immunity and response to disease/inflammation; (3) functioning senses (i.e., sight, taste and smell) and mobility; (4) the ability to maintain homeostasis or regain homeostasis in response to stress/stressors, may enhance how individuals age. This emphasises the need for innovative studies on dietary interventions to improve healthy ageing, especially utilising validated, and widely accepted, quantitative physiological biomarkers that measure key functions and are responsive to lifestyle-based interventions.

Acknowledgments

This conference report summarises the presentations and outcomes of the session entitled ‘From Lifespan to Healthspan: The Role of Nutrition in Healthy Ageing’ held on 18 October 2019, in Dublin, Ireland. The event was organised by the Council for Responsible Nutrition-International (www.crn-i.org). The authors alone are responsible for the views expressed in this article and those views do not necessarily represent the views, decisions or policies of the insitutions with which they are affilated. This conference report is not a consensus statement; therefore, the opinions in this paper do not necessarily reflect the postion of the World Health Organization.

K. Wickramasinghe, J. C. Mathers, S. Wopereis and J. C. Griffiths had their travel expenses reimbursed by CRN-International.

D. Marsman and S. Wopereis are employees of their respective companies, Procter & Gamble (P&G) Health and the Netherlands Organization for Applied Scientific Research (TNO); the latter is a not-for-profit research organisation collaborating in several public–private partnerships or business-to-business research projects that receive funding from companies. J. Griffiths is an employee of CRN-International. None of the authors declares any conflict of interest in providing their solely scientific opinion for this review.

K. Wickramasinghe, J. C. Mathers, S. Wopereis and D. S. Marsman: Speaker and contributing co-author; J.C. Griffiths: Moderator and Speaker and contributing co-author.

References

World Health Organization (2015) World Report on Ageing and Health. https://apps.who.int/iris/bitstream/handle/10665/186463/9789240694811_eng.pdf?sequence=1 (accessed 14 February 2020).Google Scholar
World Health Organization (2016) The Global Strategy and Action Plan on Ageing and Health. https://www.who.int/ageing/global-strategy/en/ (accessed 30 January 2020).Google Scholar
Kalache, A, de Hoogh, I, Howlett, SE, et al. (2019) Nutrition interventions for healthy ageing across the lifespan: a conference report. Eur J Nutr 58, S1S11.CrossRefGoogle ScholarPubMed
Marsman, DS, Belsky, DW, Gregori, D, et al. (2018) Healthy ageing: the natural consequences of good nutrition: a conference report. Eur J Nutr 57, S15S34.CrossRefGoogle ScholarPubMed
Shao, A, Drewnowski, A, Willcox, DC, et al. (2017) Optimal nutrition and the ever-changing dietary landscape: a conference report. Eur J Nutr 56, S1S21.CrossRefGoogle ScholarPubMed
Kirkwood, TBL (2008) A systematic look at an old problem. Nature 451, 644647.CrossRefGoogle Scholar
Vaupel, JW (2010) Biodemography of human ageing. Nature 464, 563–542.CrossRefGoogle ScholarPubMed
WHO Regional Office for Europe: Copenhagen (2018) The Health and Well-Being of Men in the WHO European Region: Better Health Through a Gender Approach. https://www.euro.who.int/en/publications/abstracts/the-health-and-well-being-of-men-in-the-who-european-region-better-health-through-a-gender-approach-2018 (accessed 6 July 2020).Google Scholar
World Health Organization (2018) The Health and Well-Being of Men in the WHO European Region: Better Health Through a Gender Approach. http://www.euro.who.int/en/publications/abstracts/the-health-and-well-being-of-men-in-the-who-european-region-better-health-through-a-gender-approach-2018 (accessed 30 January 2020).Google Scholar
World Health Organization (2018) Strategy on the Health and Well-Being of Men in the WHO European Region. http://www.euro.who.int/en/health-topics/health-determinants/gender/publications/2018/strategy-on-the-health-and-well-being-of-men-in-the-who-european-region-2018 (accessed 30 January 2020).Google Scholar
Matthews, FE, Arthur, A, Barnes, LE, et al. (2013) A two-decade comparison of prevalence of dementia in individuals aged 65 years and older from three geographical areas of England: results of the Cognitive Function and Ageing Study I and II. Lancet 382, 14051412.CrossRefGoogle ScholarPubMed
World Health Organization (2014) Global Status Report on Noncommunicable Diseases 2014. https://apps.who.int/iris/bitstream/handle/10665/148114/9789241564854_eng.pdf;jsessionid=3F93AD900A075F088BAA90971EC4B5D1?sequence=1 (accessed 14 February 2020).Google Scholar
Malcomson, FC & Mathers, JC (2018) Nutrition and ageing. Subcell Biochem 90, 373424.CrossRefGoogle ScholarPubMed
Lopez-Otin, C, Blasco, MA, Partridge, L, et al. (2013) The hallmarks of aging. Cell 153, 11941217.CrossRefGoogle ScholarPubMed
Kirkwood, TB (2005) Understanding the odd science of aging. Cell 120, 437447.CrossRefGoogle ScholarPubMed
van den Brink, W, van Bilsen, J, Salic, K, et al. (2019) Current and future nutritional strategies to modulate inflammatory dynamics in metabolic disorders. Front Nutr 6, 75.CrossRefGoogle ScholarPubMed
Huber, M, Knottnerus, JA, Green, L, et al. (2011) How should we define health? BMJ 343, d4163.CrossRefGoogle ScholarPubMed
World Health Organization (2018) Time to Deliver: Report of the WHO Independent High-Level Commission on Noncommunicable Diseases. https://www.who.int/ncds/management/time-to-deliver/en/ (accessed 30 January 2020).Google Scholar
World Health Organization (2015) European Food and Nutrition Action Plan 2015–2020. http://www.euro.who.int/en/publications/abstracts/european-food-and-nutrition-action-plan-20152020-2014 (accessed 30 January 2020).Google Scholar
World Health Organization (2015) WHO European Region Has Lowest Global Breastfeeding Rates. http://www.euro.who.int/en/health-topics/Life-stages/maternal-and-newborn-health/news/news/2015/08/who-european-region-has-lowest-global-breastfeeding-rates (accessed 30 January 2020).Google Scholar
World Health Organization (2019) Essential Nutrition Actions: Mainstreaming Nutrition Through the Life-Course. https://www.who.int/nutrition/publications/essential-nutrition-actions-2019/en/ (accessed 30 January 2020).Google Scholar
Rito, AI, Buoncristiano, M, Spinelli, A, et al. (2019) Association between characteristics at birth, breastfeeding and obesity in 22 countries: The WHO European Childhood Obesity Surveillance Initiative – COSI 2015/2017. Obes Facts 12, 226243.CrossRefGoogle ScholarPubMed
World Health Organization (2019) Commercial Foods for Infants and Young Children in the WHO European Region. A Study of the Availability, Composition and Marketing of Baby Foods in Four European Countries. http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/publications/2019/commercial-foods-for-infants-and-young-children-in-the-who-european-region-2019 (accessed 30 January 2020).Google Scholar
World Health Organization (2019) Ending Inappropriate Promotion of Commercially Available Complementary Foods for Infants and Young Children Between 6 and 36 Months in Europe. http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/publications/2019/ending-inappropriate-promotion-of-commercially-available-complementary-foods-for-infants-and-young-children-between-6-and-36-months-in-europe-2019 (accessed 24 February 2020).Google Scholar
Springmann, M, Wiebe, K, Mason-D'Croz, D, et al. (2018) Health and nutritional aspects of sustainable diet strategies and their association with environmental impacts: a global modelling analysis with country-level detail. Lancet Planet Health 2, e451e461.CrossRefGoogle ScholarPubMed
Food Agriculture Organization/World Health Organization (2015) Sustainable Healthy Diets: Guiding Principles. http://www.fao.org/documents/card/en/c/ca6640en/ (accessed 30 January 2020).Google Scholar
World Health Organization (2016) Integrating Diet, Physical Activity and Weight Management Services into Primary Care. http://www.euro.who.int/en/publications/abstracts/integrating-diet,-physical-activity-and-weight-management-services-into-primary-care-2016 (accessed 30 January 2020).Google Scholar
World Health Organization (2017) Integrated Care for Older People: Guidelines on Community-Level Interventions to Manage Declines in Intrinsic Capacity. https://www.who.int/nutrition/publications/guidelines/integrated-care-older-people/en/ (accessed 30 January 2020).Google Scholar
Mathers, JC (2013) Nutrition and ageing: knowledge, gaps and research priorities. Proc Nutr Soc 72, 246–50.CrossRefGoogle ScholarPubMed
Kiefte-de Jong, JC, Mathers, JC, & Franco, OH (2014) Nutrition and healthy ageing: the key ingredients. Proc Nutr Soc 73, 249259.CrossRefGoogle ScholarPubMed
Fleming, TP, Watkins, AJ, Velazquez, MA, et al. (2018) Origins of lifetime health around the time of conception: causes and consequences. Lancet 391, 18421852.CrossRefGoogle ScholarPubMed
Langie, SA, Lara, J, & Mathers, JC (2012) Early determinants of the ageing trajectory. Best Pract Res Clin Endocrinol Metab 26, 613626.CrossRefGoogle ScholarPubMed
Khaw, KT, Wareham, N, Bingham, S, et al. (2008) Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study. PLoS Med 5, e15.Google ScholarPubMed
Bach-Faig, A, Berry, EM, Lairon, D, et al. (2011) Mediterranean diet pyramid today. Science and cultural updates. Pub Health Nutr 14, 22742284.CrossRefGoogle ScholarPubMed
Trichopoulou, A, Orfanos, P, Norat, T, et al. (2005) Modified Mediterranean diet and survival: EPIC-elderly prospective cohort study. BMJ 330, 991997.CrossRefGoogle ScholarPubMed
Shannon, OM, Stephan, BCM, Granic, A, et al. (2019) Mediterranean diet adherence and cognitive function in older UK adults: the European Prospective Investigation into Cancer and Nutrition-Norfolk (EPIC-Norfolk) study. Am J Clin Nutr 110, 938948.CrossRefGoogle ScholarPubMed
Bach-Faig, A, Berry, EM, Lairon, D, et al. (2011) Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr 14, 2274–84.CrossRefGoogle ScholarPubMed
Sofi, F, Cesari, F, Abbate, R, et al. (2008) Adherence to Mediterranean diet and health status: meta-analysis. BMJ 337, a1344.CrossRefGoogle ScholarPubMed
Luciano, M, Corley, J, Cox, SR, et al. (2017) Mediterranean-type diet and brain structural change from 73 to 76 years in a Scottish cohort. Neurology 88, 449455.CrossRefGoogle Scholar
de Lorgeril, M, Salen, P, Martin, JL, et al. (1999) Mediterranean diet, traditional risk factors, and the rate of cardiovascular complications after myocardial infarction: final report of the Lyon Diet Heart Study. Circulation 99, 779785.CrossRefGoogle ScholarPubMed
Estruch, R, Ros, E, Salas-Salvadó, J, et al. (2018) Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med 378, e34.CrossRefGoogle ScholarPubMed
Ng, M, Fleming, T, Robinson, M, et al. (2014) Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 384, 766781.CrossRefGoogle ScholarPubMed
Handschin, C & Spiegelman, BM (2008) The role of exercise and PGC1alpha in inflammation and chronic disease. Nature 454, 463469.CrossRefGoogle ScholarPubMed
Xu, WL, Atti, AR, Gatz, M, et al. (2011) Midlife overweight and obesity increase late-life dementia risk: a population-based twin study. Neurology 76, 15681574.CrossRefGoogle ScholarPubMed
López-Otín, C, Galluzzi, L, Freije, JMP, et al. (2018) Metabolic control of longevity. Cell 166, 802821.CrossRefGoogle Scholar
Lara, J, Cooper, R, Nissan, J, et al. (2015) A proposed panel of biomarkers of healthy ageing. BMC Med 13, 222.CrossRefGoogle ScholarPubMed
Kemp, GJ, Birrell, F, Clegg, PD, et al. (2018) Developing a toolkit for the assessment and monitoring of musculoskeletal ageing. Age Ageing 47, iv1iv19.CrossRefGoogle ScholarPubMed
Lara, J, Godfrey, A, Evans, E, et al. (2013) Towards measurement of the healthy ageing phenotype in lifestyle-based intervention studies. Maturitas 76, 189199.CrossRefGoogle ScholarPubMed
Livingston, G, Sommerlad, A, Orgeta, V, et al. (2017) Dementia prevention, Intervention, and care. Lancet 390, 26732734.CrossRefGoogle ScholarPubMed
Ngandu, T, Lehtisalo, J, Solomon, A, et al. (2015) A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial. Lancet 385, 22552263.CrossRefGoogle ScholarPubMed
Celis-Morales, C, Lara, J, & Mathers, JC (2015) Personalising nutritional guidance for more effective behaviour change. Proc Nutr Soc 74, 130138.CrossRefGoogle ScholarPubMed
Celis-Morales, C, Livingstone, KM, Marsaux, CF, et al. (2017) Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial. Int J Epidemiol 46, 578588.Google ScholarPubMed
O'Brien, N, Heaven, B, Teal, G, et al. (2016) Integrating evidence from systematic reviews, qualitative research, and expert knowledge using co-design techniques to develop a web-based intervention for people in the retirement transition. J Med Internet Res 18, e210.CrossRefGoogle ScholarPubMed
Lara, J, O'Brien, N, Godfrey, A, et al. (2016) pilot randomised controlled trial of a web-based intervention to promote healthy eating, physical activity and meaningful social connections compared with usual care control in people of retirement age recruited from workplaces. PLoS ONE 11, e0159703.CrossRefGoogle ScholarPubMed
Kardinaal, AFM, van Erk, MJ, Dutman, AE, et al. (2015) Quantifying phenotypic flexibility as the response to a high-fat challenge test in different states of metabolic health. FASEB J 29, 46004613.CrossRefGoogle ScholarPubMed
van Ommen, B, van der Greef, J, Ordovas, JM, et al. (2014) Phenotypic flexibility as key factor in the human nutrition and health relationship. Genes Nutr 9, 423.CrossRefGoogle ScholarPubMed
Stroeve, JHM, van Wietmarschen, H, Kremer, BHA, et al. (2015) Phenotypic flexibility as a measure of health: the optimal nutritional stress response test. Genes Nutr 10, 459.CrossRefGoogle ScholarPubMed
Bakker, GC, van Erk, MJ, Pellis, L, et al. (2010) An antiinflammatory dietary mix modulates inflammation and oxidative and metabolic stress in overweight men: a nutrigenomics approach. Am J Clin Nutr 91, 10441059.CrossRefGoogle ScholarPubMed
Pellis, L, van Erk, MJ, van Ommen, B, et al. (2012) Plasma metabolomics and proteomics profiling after a postprandial challenge reveal subtle diet effects on human metabolic status. Metabolomics 8, 347359.CrossRefGoogle ScholarPubMed
Cruz-Teno, C, Pérez-Martínez, P, Delgado-Lista, J, et al. (2012) Dietary fat modifies the postprandial inflammatory state in subjects with metabolic syndrome: the LIPGENE study. Mol Nutr Food Res 56, 854865.CrossRefGoogle Scholar
Esser, D, Mars, M, Oosterink, E, et al. (2014) Dark chocolate consumption improves leukocyte adhesion factors and vascular function in overweight men. FASEB J 28, 14641473.CrossRefGoogle ScholarPubMed
Fiamoncini, J, Rundle, M, Gibbons, H, et al. (2018) Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss-mediated metabolic improvements. FASEB J 32, 54475458.CrossRefGoogle ScholarPubMed
Hoevenaars, FPM, Esser, D, Schutte, S, et al. (2019) Whole grain wheat consumption affects postprandial inflammatory response in a randomized controlled trial in overweight and obese adults with mild hypercholesterolemia in the Graandioos study. J Nutr 149, 21332144.CrossRefGoogle Scholar
Wopereis, S, Stroeve, JHM, Stafleu, A, et al. (2017) Multi-parameter comparison of a standardized mixed meal tolerance test in healthy and type 2 diabetic subjects: the PhenFlex challenge. Genes Nutr 12, 21.CrossRefGoogle ScholarPubMed
van den Broek, TJ, Bakker, GCM, Rubingh, CM, et al. (2017) Ranges of phenotypic flexibility in healthy subjects. Genes Nutr 12, 32.CrossRefGoogle ScholarPubMed
Schutte, S, Esser, D, Hoevenaars, FPM, et al. (2018) A 12-wk whole-grain wheat intervention protects against hepatic fat: the Graandioos study, a randomized trial in overweight subjects. Am J Clin Nutr 108, 12641274.CrossRefGoogle ScholarPubMed
Fazelzadeh, P, Hangelbroek, RWJ, Joris, PJ, et al. (2018) Weight loss moderately affects the mixed meal challenge response of the plasma metabolome and transcriptome of peripheral blood mononuclear cells in abdominally obese subjects. Metabolomics 14, 46.CrossRefGoogle ScholarPubMed
Adams, SH, Anthony, JC, Carvajal, R, et al. (2020) Perspective: guiding principles for the implementation of personalized nutrition approaches that benefit health and function. Adv Nutr 11, 2534.Google ScholarPubMed
van Ommen, B, van den Broek, T, de Hoogh, I, et al. (2017) Systems biology of personalized nutrition. Nutr Rev 75, 579599 [published correction appears in Nutr Rev 75, 672].CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Associations between Mediterranean diet adherence and risk of poor cognitive performance assessed by the Hopkins Verbal Learning Test among participants (n 7589) in the European Prospective Investigation into Cancer and Nutrition-Norfolk study. Poor performance was defined as a score in the bottom 10 % of the population distribution of the test. Results are expressed as odds ratios (ORs) plus 95 % CIs for poor cognitive performance with medium and high compared with the lowest tertile of Mediterranean diet adherence (dashed line) quantified using three different methods of assessing adherence. These were: (a) the standard Mediterranean Diet Adherence Screener (MEDAS) (score); (b) the MEDAS Continuous that is similar to the standard MEDAS but with points allocated on a continuous basis (i.e., between 0 and 1) depending on closeness to the dietary target; (c) the Pyramid score, a 15-point scoring system proposed by the Mediterranean Diet Foundation(37). Further details of these scoring methods are provided by Shannon et al.(36). *Significantly lower risk of poor cognitive performance compared with the lowest tertile of Mediterranean diet adherence (P < 0⋅05).

Figure 1

Fig. 2. Overview of the systematic, sequential approach to intervention co-design and development used to develop the LEAP (Living, Eating, Activity and Planning) online platform. LEAP incorporates selected behaviour change techniques and is designed to provide personalised support in making changes to diet (to increase adherence to the Mediterranean dietary pattern), physical activity and social roles/ networks and to enhance healthy ageing(53).

Figure 2

Fig. 3. Health space that visualises the increase of a person's metabolic age with age, body fat and the presence of a metabolic disorder such as type II diabetes mellitus. The circles represent different male individuals from two studies focusing on health quantification by means of phenotypic flexibility(64,65). The health space is defined by four axes that summarise all biomarkers related to the capacity to deal with ‘lipids or fats’, ‘glucose or carbohydrates’, ‘proteins’ and the size of the circle summarises the individual metabolic stress state referring to inflammation and oxidative stress. The colour coding of the circles have the following meaning: red, healthy young (age 20–30) and lean (low body fat percentage); marine blue, healthy elderly (age 60–70) and overweight (normal to high body fat percentage); green, healthy adults (age 30–60) with low body fat percentage; yellow and aqua-green, healthy adults (age 30–60) with normal body fat percentage; orange, healthy adults (age 30–60) with high body fat percentage; brown, male adults (age 30–60) with type II diabetes. Adapted from van den Broek et al.(65).

Figure 3

Fig. 4. In a human intervention study, focusing on the effect of weight loss (20 % reduction in energy intake for 12 weeks) on ‘resilient ageing’, the quantification of phenotypic flexibility identified subjects with different susceptibility to weight loss-mediated metabolic improvements. Persons who had a reduced resilience (inflexible persons) showed a significant metabolic improvement after 12 weeks of intervention, whereas persons with normal resilience had an unaltered metabolic age.

Figure 4

Fig. 5. The envisioned transition from lifespan to healthspan: persons should have a regular health check through the lifespan like presently is the case within dentistry. Based on digital 360° individual data on a person's biology (including phenotypic flexibility), thinking and feeling, lifestyle behaviour and contextual environment, it can be determined if a person is following their optimal ageing trajectory. When deviation from this trajectory is noticed, personalized nutrition and lifestyle advice can be provided, thereby adding life to years by preventing non-communicable diseases (NCDs).