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Interventions and public health nutrition

Nutritional risk of European elderly

Abstract

Background/objectives:

The elderly constitute a population group with a high prevalence of non-communicable chronic diseases and high risk of malnutrition. The aim of this study was to identify factors associated to nutritional risk in free-living European elderly.

Subjects/methods:

The sample included 644 European citizens, free living in the community, aged 65 years or more. The sample was quota controlled for age groups (65–74, 75 years), gender (male/female) and living circumstances (living alone/with others). Logistic regression was performed to identify factors associated with nutritional risk.

Results:

Several variables regarding socio-demographic characteristics, food choice, health status and the satisfaction with food-related life were included in the analysis. According to the recoded score of the ‘Determine your nutritional health’ (NSI checklist), 53% of the elderly were at nutritional risk. Nutritional risk was more likely to occur in elderly who considered that it was more important to choose foods ‘easy to chew’; with lower average number of fruit and vegetables (F&V) intake episodes and lower score for general health. It was also found in non-married participants; those that did not identify changes in their appetite; and those that felt changes in health status. In this sample, the lowest nutritional risk was found for body mass index (BMI) around 18.5 kg/m2. Country of residence, gender and age were not found to have a significant effect on nutritional risk.

Conclusions:

Attention should be drawn to the living circumstances, changes in appetite or health, the general heath perception, F&V intake, choice of foods easy to chew and having a low or high BMI.

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References

  1. Lee KS, Cheong H-K, Kim EA, Kim KR, Oh BH, Hong CH . Nutritional risk and cognitive impairment in the elderly. Arch Gerontol Geriatr 2009; 48: 95–99.

    Article  Google Scholar 

  2. White JV, Guenter P, Jensen G, Malone A, Schofield M . Consensus statement of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). J Acad Nutr Diet 2012; 112: 730–738.

    Article  Google Scholar 

  3. Amaral TF, Matos LC, Tavares MM, Subtil A, Martins R, Nazaré M et al. The economic impact of disease-related malnutrition at hospital admission. Clin Nutr 2007; 26: 778–784.

    Article  Google Scholar 

  4. Drewnowski A, Monsen E, Birkett D, Gunther S, Vendeland S, Su J et al. Health screening and health promotion programs for the elderly. Dis Manag Health Out 2003; 11: 299–309.

    Article  Google Scholar 

  5. Callen B . Understanding nutritional health in older adults: a pilot study. J Gerontol Nurs 2004; 30: 36–43.

    Article  Google Scholar 

  6. Beck AM, Ovesen L, Osler M . The 'mini Nutritional Assessment' (MNA) and the 'determine Your Nutritional Health' Checklist (NSI Checklist) as predictors of morbidity and mortality in an elderly Danish population. Br J Nutr 1999; 81: 31–36.

    Article  CAS  Google Scholar 

  7. Visvanathan R, Zaiton A, Sherina MS, Muhamad YA . The nutritional status of 1081 elderly people residing in publicly funded shelter homes in Peninsular Malaysia. Eur J Clin Nutr 2005; 59: 318–324.

    Article  CAS  Google Scholar 

  8. de Groot LC, Beck AM, Schroll M, van Staveren WA . Evaluating the DETERMINE Your Nutritional Health Checklist and the Mini Nutritional Assessment as tools to identify nutritional problems in elderly Europeans. Eur J Clin Nutr 1998; 52: 877–883.

    Article  CAS  Google Scholar 

  9. Cuervo M, Ansorena D, García A, Astiasarán I, Martínez JA . Food consumption analysis in Spanish elderly based upon the mini nutritional assessment test. Ann Nutr Metab 2008; 52: 299–307.

    Article  CAS  Google Scholar 

  10. Cuervo M, Ansorena D, Martínez-González MA, García A, Astiasarán I, Martínez JA . Impact of global and subjective mini nutritional assessment (MNA) questions on the evaluation of the nutritional status: the role of gender and age. Arch Gerontol Geriatr 2009; 49: 69–73.

    Article  Google Scholar 

  11. Kondrup J, Allison SP, Elia M, Vellas B, Plauth M . ESPEN guidelines for nutrition screening 2002. Clin Nutr 2003; 22: 415–421.

    Article  CAS  Google Scholar 

  12. Elia M, Stratton RJ . An analytic appraisal of nutrition screening tools supported by original data with particular reference to age. Nutrition 2012; 28: 477–494.

    Article  Google Scholar 

  13. Walters SJ, Munro JF, Brazier JE . Using the SF‐36 with older adults: a cross‐sectional community‐based survey. Age Ageing 2001; 30: 337–343.

    Article  CAS  Google Scholar 

  14. Pieniak Z, Pérez-Cueto F, Verbeke W . Association of overweight and obesity with interest in healthy eating, subjective health and perceived risk of chronic diseases in three European countries. Appetite 2009; 53: 399–406.

    Article  Google Scholar 

  15. Wylie C, Copeman J, Kirk SFL . Health and social factors affecting the food choice and nutritional intake of elderly people with restricted mobility. J Hum Nutr Diet 1999; 12: 375–380.

    Article  Google Scholar 

  16. Lizaka S, Tadaka E, Sanada H . Comprehensive assessment of nutritional status and associated factors in the healthy, community-dwelling elderly. Geriatr Gerontol Int 2008; 8: 24–31.

    Article  Google Scholar 

  17. Wham C, Teh R, Robinson M, Kerse N . What is associated with nutrition risk in very old age? J Nutr Health Aging 2011; 15: 247–251.

    Article  CAS  Google Scholar 

  18. Wham C, Carr R, Heller F . Country of origin predicts nutrition risk among community living older people. J Nutr Health Aging 2011; 15: 253–258.

    Article  CAS  Google Scholar 

  19. Payette H, Shatenstein B . Determinants of healthy eating in community-dwelling elderly people. Can J Public Health 2005; 96 (Suppl 3), S27–S31.

    PubMed  Google Scholar 

  20. Dean M, Grunert KG, Raats MM, Nielsen NA, Lumbers M . The impact of personal resources and their goal relevance on satisfaction with food-related life among the elderly. Appetite 2008; 50: 308–315.

    Article  Google Scholar 

  21. WHO. Obesity preventing and managing the global epidemic. Report of a WHO consultation. World Health Organization: Geneva, 2000.

  22. Anandacoomarasamy A, Caterson ID, Leibman S, Smith GS, Sambrook PN, Fransen M et al. Influence of BMI on health-related quality of life: comparison between an obese adult cohort and age-matched population norms. Obesity (Silver Spring) 2009; 17: 2114–2118.

    Article  Google Scholar 

  23. Holmes BA, Roberts CL . Diet quality and the influence of social and physical factors on food consumption and nutrient intake in materially deprived older people. Eur J Clin Nutr 2011; 65: 538–545.

    Article  CAS  Google Scholar 

  24. Bazzano LA . Dietary intake of fruit and vegetables and risk of diabetes mellitus and cardiovascular diseases [electronic resource]. Background paper for the joint FAO/WHO Workshop on Fruit and Vegetables for Health, 1-3 September 2004, Kobe, Japan.

  25. Donkin AJM, Johnson AE, Lilley JM, Morgan K, Neale RJ, Page RM et al. Gender and living alone as determinants of fruit and vegetable consumption among the elderly living at home in urban Nottingham. Appetite 1998; 30: 39–51.

    Article  CAS  Google Scholar 

  26. Johnson AE, Donkin AJM, Morgan K, Neale RJ, Pagf RM, Silburn RL . Fruit and vegetable consumption in later life. Age Ageing 1998; 27: 723–728.

    Article  CAS  Google Scholar 

  27. Ware JE Jr, Gandek B . Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. J Clin Epidemiol 1998; 51: 903–912.

    Article  Google Scholar 

  28. Greene GW, Fey-Yensan N, Padula C, Rossi S, Rossi JS, Clark PG . Differences in psychosocial variables by stage of change for fruits and vegetables in older adults. J Am Diet Assoc 2004; 104: 1236–1243.

    Article  Google Scholar 

  29. Moreira P, Padrao P . Educational and economic determinants of food intake in Portuguese adults: a cross-sectional survey. BMC Public Health 2004; 4: 58.

    Article  Google Scholar 

  30. Naska A, Fouskakis D, Oikonomou E, Almeida MD, Berg MA, Gedrich K et al. Dietary patterns and their socio-demographic determinants in 10 European countries: data from the DAFNE databank. Eur J Clin Nutr 2006; 60: 181–190.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The data used in this article belong to the European Project ‘Food in later life. Choosing foods, eating meals: sustaining independence and quality of life’ financed by the European Commission (QLK1CT200202447).

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Correspondence to C de Morais.

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de Morais, C., Oliveira, B., Afonso, C. et al. Nutritional risk of European elderly. Eur J Clin Nutr 67, 1215–1219 (2013). https://doi.org/10.1038/ejcn.2013.175

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