Nutrient Status Assessment in Individuals and Populations for Healthy Aging—Statement from an Expert Workshop
Abstract
:1. Introduction
2. Assessment of Nutritional Status
Nutrient Intake Assessment Method | Limitation |
---|---|
24-h recall | One record is seldom representative of a person’s usual intake |
Under-reporting/over-reporting occurs | |
Relies on memory | |
Omissions of dressings, sauces, and beverages can lead to low estimate of energy intake | |
Data entry can be very labor intensive | |
Food record | Requires high degree of cooperation |
Response burden can result in low response rates when used in large national surveys | |
Subject must be literate | |
Takes more time to obtain data | |
Act of recording may alter diet | |
Analysis is labor intensive and expensive | |
Food frequency questionnaires | May not represent usual foods or portion sizes chosen by respondents |
Intake data can be compromised when multiple foods are grouped within single listings | |
Depend on ability of subject to describe diet | |
Diet history | Lengthy interview process |
Requires highly trained interviewers | |
Difficult and expensive to code | |
May tend to overestimate nutrient intake | |
Requires cooperative respondent with ability to recall usual diet | |
Duplicate food collection | Expense and effort of preparing more food |
Effort and time to collect duplicate samples | |
May underestimate usual intake | |
Food account | Does not account for food losses |
Respondent literacy and cooperation necessary | |
Not appropriate for measuring individual food consumption | |
Food balance sheet | Accuracy of data may be questionable |
Only represents food available for consumption | |
Does not represent food actually consumed | |
Does not account for wasted food | |
Telephone interviews | Subject to many of the same disadvantages of collecting 24-h recall and food record data |
Estimating portion sizes in recalls may be difficult | |
Photograph and video | Periodic revalidations are recommended |
Unable to distinguish visually similar foods or document preparation methods | |
Subject to technical problems |
3. Improvement of Individual Nutritional Needs
Classical | Modern | |
---|---|---|
Basis for RDA | Prevention of disease | Optimal health |
RDA designed for | Groups | Groups and individuals |
Type of evidence | Clinical “depletion-repletion” model | Metal-analysis of RCTs |
Nutrigenomics | ||
System biology approach |
4. Role of Nutritional Status in Healthy Aging
5. From Single Nutrients to Dietary Patterns
6. Nutritional Assessment and Needs in Patients
7. Conclusions and Recommendations
- –
- There is an urgent need of strategies aimed at communicating optimal nutrition in order to create awareness of malnutrition amongst policymakers, the general public, and health and social care professionals. Targeted dissemination of respective information is recommended.
- –
- Strategies aimed at preventing malnutrition require early identification of the condition. This needs active surveillance of nutrient status using validated biomarkers in at risk populations on admission to health and social services in order to take timely action and prevent the individual’s malnutrition as well as the high economic costs of inaction.
- –
- Strategies aimed at preventing malnutrition require high quality evidence about the effect of interventions on longer-term outcomes. Prioritization towards nutrition research is needed.
- –
- Strategies aimed at preventing malnutrition require periodic evaluations of progress and reporting of actions needed to address the progress of targeted individuals. Centrally stored data of nutritional status could assist in identifying the public health issues related to malnutrition in risk groups.
- –
- Action implementation should be based on nutrition surveys, existing evidence of nutrition interventions, and recommendations and guidelines by (inter)national organizations and professionals.
- –
- Strategies aimed at preventing malnutrition require capacity for trained caregivers and health professionals to identify and treat malnutrition. This requires that governments invest in resources that enable screening and understanding effective interventions that address malnutrition in the general population.
Acknowledgments
Author Contributions
Conflicts of Interest
References
- Trude, A.C.; Kharmats, A.; Jock, B.; Liu, D.; Lee, K.; Martins, P.A.; Pardilla, M.; Swartz, J.; Gittelsohn, J. Patterns of food consumption are associated with obesity, self-reported diabetes and cardiovascular disease in five American Indian communities. Ecol. Food Nutr. 2015, 54, 437–454. [Google Scholar] [CrossRef] [PubMed]
- Peter, S.; Eggersdorfer, M.; van Asselt, D.; Buskens, E.; Detzel, P.; Freijer, K.; Koletzko, B.; Kraemer, K.; Kuipers, F.; Neufeld, L.; et al. Selected nutrients and their implications for health and disease across the lifespan: A roadmap. Nutrients 2014, 6, 6076–6094. [Google Scholar] [CrossRef] [PubMed]
- Troesch, B.; Hoeft, B.; McBurney, M.; Eggersdorfer, M.; Weber, P. Dietary surveys indicate vitamin intakes below recommendations are common in representative western countries. Br. J. Nutr. 2012, 108, 692–698. [Google Scholar] [CrossRef] [PubMed]
- Dwyer, J.; Nahin, R.L.; Rogers, G.T.; Barnes, P.M.; Jacques, P.M.; Sempos, C.T.; Bailey, R. Prevalence and predictors of children’s dietary supplement use: The 2007 national health interview survey. Am. J. Clin. Nutr. 2013, 97, 1331–1337. [Google Scholar] [CrossRef] [PubMed]
- Gemming, L.; Jiang, Y.; Swinburn, B.; Utter, J.; Mhurchu, C.N. Under-reporting remains a key limitation of self-reported dietary intake: An analysis of the 2008/09 New Zealand adult nutrition survey. Eur. J. Clin. Nutr. 2014, 68, 259–264. [Google Scholar] [CrossRef] [PubMed]
- Robert, D.; Lee, D.C.N. Nutritional Assessment, 4th ed.; Mc Graw Hill: New York, NY, USA, 2007; pp. 82–96. [Google Scholar]
- Wahl, D.A.; Cooper, C.; Ebeling, P.R.; Eggersdorfer, M.; Hilger, J.; Hoffmann, K.; Josse, R.; Kanis, J.A.; Mithal, A.; Pierroz, D.D.; et al. A global representation of vitamin D status in healthy populations. Arch. Osteoporos. 2012, 7, 155–172. [Google Scholar] [CrossRef] [PubMed]
- Hilger, J.; Friedel, A.; Herr, R.; Rausch, T.; Roos, F.; Wahl, D.A.; Pierroz, D.D.; Weber, P.; Hoffmann, K. A systematic review of vitamin D status in populations worldwide. Br. J. Nutr. 2014, 111, 23–45. [Google Scholar] [CrossRef] [PubMed]
- Brouwer-Brolsma, E.M.; Bischoff-Ferrari, H.A.; Bouillon, R.; Feskens, E.J.; Gallagher, C.J.; Hypponen, E.; Llewellyn, D.J.; Stoecklin, E.; Dierkes, J.; Kies, A.K.; et al. Vitamin D: Do we get enough? A discussion between vitamin D experts in order to make a step towards the harmonisation of dietary reference intakes for vitamin D across Europe. Osteoporos. Int. 2013, 24, 1567–1577. [Google Scholar] [CrossRef] [PubMed]
- Bischoff-Ferrari, H.A.; Shao, A.; Dawson-Hughes, B.; Hathcock, J.; Giovannucci, E.; Willett, W.C. Benefit-risk assessment of vitamin D supplementation. Osteoporos. Int. 2010, 21, 1121–1132. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Doets, E.L.; de Wit, L.S.; Dhonukshe-Rutten, R.A.; Cavelaars, A.E.; Raats, M.M.; Timotijevic, L.; Brzozowska, A.; Wijnhoven, T.M.; Pavlovic, M.; Totland, T.H.; et al. Current micronutrient recommendations in Europe: Towards understanding their differences and similarities. Eur. J. Nutr. 2008, 47 (Suppl. 1), 17–40. [Google Scholar] [CrossRef] [PubMed]
- Claessens, M.; Contor, L.; Dhonukshe-Rutten, R.; de Groot, L.C.; Fairweather-Tait, S.J.; Gurinovic, M.; Koletzko, B.; van Ommen, B.; Raats, M.M.; van’t Veer, P. Eurreca-principles and future for deriving micronutrient recommendations. Crit. Rev. Food Sci. Nutr. 2013, 53, 1135–1146. [Google Scholar] [CrossRef] [PubMed]
- Heaney, R.P. The nutrient problem. Nutr. Rev. 2012, 70, 165–169. [Google Scholar] [CrossRef] [PubMed]
- Heini, A.F.; Weinsier, R.L. Divergent trends in obesity and fat intake patterns: The American paradox. Am. J. Med. 1997, 102, 259–264. [Google Scholar] [CrossRef]
- Goris, A.H.; Westerterp-Plantenga, M.S.; Westerterp, K.R. Undereating and underrecording of habitual food intake in obese men: Selective underreporting of fat intake. Am. J. Clin. Nutr. 2000, 71, 130–134. [Google Scholar] [PubMed]
- Dhurandhar, N.V.; Schoeller, D.; Brown, A.W.; Heymsfield, S.B.; Thomas, D.; Sorensen, T.I.; Speakman, J.R.; Jeansonne, M.; Allison, D.B. The Energy Balance Measurement Working Group. Energy balance measurement: When something is not better than nothing. Int. J. Obes. 2014, 39. [Google Scholar] [CrossRef]
- Topol, E.J. Individualized medicine from prewomb to tomb. Cell 2014, 157, 241–253. [Google Scholar] [CrossRef] [PubMed]
- An Integrated Analysis of Opportunities and Challenges for Personalised Nutrition. Available online: www.food4me.org (accessed on 14 June 2015).
- Ryan, N.M.; O’Donovan, C.B.; Forster, H.; Woolhead, C.; Walsh, M.C. New tools for personalised nutrition: The Food4Me project. Nutr. Bull. 2015, 40, 134–139. [Google Scholar] [CrossRef]
- Healthy Aging. Available online: http://www.euro.who.int/en/health-topics/Life-stages/healthy-aging/healthy-aging (accessed on 14 June 2015).
- European Innovation Partnership on Active and Healthy Aging. Available online: http://ec.europa.eu/research/innovation-union/index_en.cfm?section=active-healthy-aging (accessed on 14 June 2015).
- Kirkwood, T.B. A systematic look at an old problem. Nature 2008, 451, 644–647. [Google Scholar] [CrossRef] [PubMed]
- Olshansky, S.J.; Passaro, D.J.; Hershow, R.C.; Layden, J.; Carnes, B.A.; Brody, J.; Hayflick, L.; Butler, R.N.; Allison, D.B.; Ludwig, D.S. A potential decline in life expectancy in the United States in the 21st century. N. Engl. J. Med. 2005, 352, 1138–1145. [Google Scholar] [CrossRef] [PubMed]
- Montagnese, C.; Santarpia, L.; Buonifacio, M.; Nardelli, A.; Caldara, A.R.; Silvestri, E.; Contaldo, F.; Pasanisi, F. European food-based dietary guidelines: A comparison and update. Nutrition 2015, 31, 908–915. [Google Scholar] [CrossRef] [PubMed]
- O’Sullivan, A.; Gibney, M.J.; Brennan, L. Dietary intake patterns are reflected in metabolomic profiles: Potential role in dietary assessment studies. Am. J. Clin. Nutr. 2011, 93, 314–321. [Google Scholar] [CrossRef] [PubMed]
- Lifelines. Available online: https://www.lifelines.nl/ (accessed on 14 June 2015).
- Cristina, F. Mediterranean diet health benefits may be due to a synergistic combination of phytochemicals and fatty-acids. BMJ 2005, 331. [Google Scholar] [CrossRef]
- Trichopoulou, A.; Orfanos, P.; Norat, T.; Bueno-de-Mesquita, B.; Ocke, M.C.; Peeters, P.H.; van der Schouw, Y.T.; Boeing, H.; Hoffmann, K.; Boffetta, P.; et al. Modified mediterranean diet and survival: EPIC-elderly prospective cohort study. BMJ 2005, 330, 991. [Google Scholar] [CrossRef] [PubMed]
- Sofi, F.; Abbate, R.; Gensini, G.F.; Casini, A. Accruing evidence on benefits of adherence to the mediterranean diet on health: An updated systematic review and meta-analysis. Am. J. Clin. Nutr. 2010, 92, 1189–1196. [Google Scholar] [CrossRef] [PubMed]
- De Lorgeril, M.; Salen, P.; Martin, J.L.; Monjaud, I.; Delaye, J.; Mamelle, N. Mediterranean diet, traditional risk factors, and the rate of cardiovascular complications after myocardial infarction: Final report of the lyon diet heart study. Circulation 1999, 99, 779–785. [Google Scholar] [CrossRef] [PubMed]
- Estruch, R.; Ros, E.; Salas-Salvado, J.; Covas, M.I.; Corella, D.; Aros, F.; Gomez-Gracia, E.; Ruiz-Gutierrez, V.; Fiol, M.; Lapetra, J.; et al. Primary prevention of cardiovascular disease with a mediterranean diet. N. Engl. J. Med. 2013, 368, 1279–1290. [Google Scholar] [CrossRef] [PubMed]
- Livewell. Available online: http://research.ncl.ac.uk/livewell/ (accessed on 14 June 2015).
- Lara, J.; Hobbs, N.; Moynihan, P.J.; Meyer, T.D.; Adamson, A.J.; Errington, L.; Rochester, L.; Sniehotta, F.F.; White, M.; Mathers, J.C. Effectiveness of dietary interventions among adults of retirement age: A systematic review and meta-analysis of randomized controlled trials. BMC Med. 2014, 12, 60. [Google Scholar] [CrossRef] [PubMed]
- Lopez-Otin, C.; Blasco, M.A.; Partridge, L.; Serrano, M.; Kroemer, G. The hallmarks of aging. Cell 2013, 153, 1194–1217. [Google Scholar] [CrossRef] [PubMed]
- Franco, O.H.; Karnik, K.; Osborne, G.; Ordovas, J.M.; Catt, M.; van der Ouderaa, F. Changing course in aging research: The healthy aging phenotype. Maturitas 2009, 63, 13–19. [Google Scholar] [CrossRef] [PubMed]
- Lara, J.; Godfrey, A.; Evans, E.; Heaven, B.; Brown, L.J.; Barron, E.; Rochester, L.; Meyer, T.D.; Mathers, J.C. Towards measurement of the healthy aging phenotype in lifestyle-based intervention studies. Maturitas 2013, 76, 189–199. [Google Scholar] [CrossRef] [PubMed]
- De Lima, D.C.; Ribeiro, H.S.; Cristina, R.; Oliveira, M.; de Vasconcelos-Generoso, S.; Lima, A.S.; Davisson-Correia, M.I.T. Functional status and heart rate variability in end-stage liver disease patients: Association with nutritional status. Nutrition 2015, 31, 971–974. [Google Scholar] [CrossRef] [PubMed]
- Sanz-Paris, A.; Garcia, J.M.; Gomez-Candela, C.; Burgos, R.; Martin, A.; Matia, P.; Study VIDP Group. Malnutrition prevalence in hospitalized elderly diabetic patients. Nutr. Hosp. 2013, 28, 592–599. [Google Scholar] [PubMed]
- Schols, A.M.; Ferreira, I.M.; Franssen, F.M.; Gosker, H.R.; Janssens, W.; Muscaritoli, M.; Pison, C.; Rutten-van-Molken, M.; Slinde, F.; Steiner, M.C.; et al. Nutritional assessment and therapy in COPD: A European respiratory society statement. Eur. Respir. J. 2014, 44, 1504–1520. [Google Scholar] [CrossRef] [PubMed]
- Elmadfa, I.; Meyer, A.L. Developing suitable methods of nutritional status assessment: A continuous challenge. Adv. Nutr. 2014, 5, 590S–598S. [Google Scholar] [CrossRef] [PubMed]
- Meijers, J.M.; van Bokhorst-de van der Schueren, M.A.; Schols, J.M.; Soeters, P.B.; Halfens, R.J. Defining malnutrition: Mission or mission impossible? Nutrition 2010, 26, 432–440. [Google Scholar] [CrossRef] [PubMed]
- Van Nie-Visser, N.C.; Schols, J.M.; Meesterberends, E.; Lohrmann, C.; Meijers, J.M.; Halfens, R.J. An international prevalence measurement of care problems: Study protocol. J. Adv. Nurs. 2013, 69, e18–e29. [Google Scholar] [CrossRef] [PubMed]
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Péter, S.; Saris, W.H.M.; Mathers, J.C.; Feskens, E.; Schols, A.; Navis, G.; Kuipers, F.; Weber, P.; Eggersdorfer, M. Nutrient Status Assessment in Individuals and Populations for Healthy Aging—Statement from an Expert Workshop. Nutrients 2015, 7, 10491-10500. https://doi.org/10.3390/nu7125547
Péter S, Saris WHM, Mathers JC, Feskens E, Schols A, Navis G, Kuipers F, Weber P, Eggersdorfer M. Nutrient Status Assessment in Individuals and Populations for Healthy Aging—Statement from an Expert Workshop. Nutrients. 2015; 7(12):10491-10500. https://doi.org/10.3390/nu7125547
Chicago/Turabian StylePéter, Szabolcs, Wim H. M. Saris, John C. Mathers, Edith Feskens, Annemie Schols, Gerjan Navis, Folkert Kuipers, Peter Weber, and Manfred Eggersdorfer. 2015. "Nutrient Status Assessment in Individuals and Populations for Healthy Aging—Statement from an Expert Workshop" Nutrients 7, no. 12: 10491-10500. https://doi.org/10.3390/nu7125547
APA StylePéter, S., Saris, W. H. M., Mathers, J. C., Feskens, E., Schols, A., Navis, G., Kuipers, F., Weber, P., & Eggersdorfer, M. (2015). Nutrient Status Assessment in Individuals and Populations for Healthy Aging—Statement from an Expert Workshop. Nutrients, 7(12), 10491-10500. https://doi.org/10.3390/nu7125547