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Adherence to dietary guidelines for fruit, vegetables and fish among older Dutch adults; the role of education, income and job prestige

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The journal of nutrition, health & aging

Abstract

Objectives

Little is known about socio-economic differences in dietary intake among older adults. In this study we describe self-reported dietary adherence to the fruit, vegetables and fish guidelines among older Dutch adults and investigate the independent associations of three socio-economic status (SES) indicators with adherence to these guidelines.

Design

Cross sectional data-analyses.

Settings

The Longitudinal Aging Study Amsterdam (LASA), the Netherlands.

Subjects

1057 community dwelling older adults, aged 55–85 years.

Measurements

Fruit, vegetable and fish intake was assessed using a short food frequency questionnaire. We measured SES using self-reported levels of education, household income and occupational prestige.

Results

82.5% of the respondents reported to adhere to the fruit guideline, 65.1% to the vegetables guideline, and 31.7% to the fish guideline. After adjustment for confounders and the other two SES indicators, respondents in the lowest education group adhered less often to the vegetables guideline (OR 0.39 (95% CI 0.22–0.70)) compared to those in the highest education group. Respondents in the lowest income group adhered less often to the fruit (0.44 (95 % CI 0.22–0.91) and fish guideline (OR 0.55 (95% CI 0.33–0.91) compared to those in the highest groups. Occupational prestige was not independently associated with adherence any the guidelines.

Conclusion

Selfreported adherence to the fruit, vegetables and fish guidelines among older adults can be improved and particularly in those with a low SES. Education and income have independent and unique contributions to dietary adherence. Future research should investigate potential pathways through which these specific SES indicators influence dietary adherence.

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References

  1. Mackenbach, J.P., et al., Socioeconomic inequalities in health in 22 European countries. N Engl J Med, 2008. 358(23): p. 2468–2481.

    Article  CAS  PubMed  Google Scholar 

  2. Marmot, M., et al., WHO European review of social determinants of health and the health divide. Lancet, 2012. 380(9846): p. 1011–1029.

    Article  PubMed  Google Scholar 

  3. Irala-Estevez, J.D., et al., A systematic review of socio-economic differences in food habits in Europe: consumption of fruit and vegetables. Eur J Clin Nutr, 2000. 54(9): p. 706–714.

    Article  CAS  PubMed  Google Scholar 

  4. Hulshof, K.F., et al., Socio-economic status, dietary intake and 10 y trends: the Dutch National Food Consumption Survey. Eur J Clin Nutr, 2003. 57(1): p. 128–137.

    Article  CAS  PubMed  Google Scholar 

  5. Touvier, M., et al., Variations in compliance with recommendations and types of meat/seafood/eggs according to sociodemographic and socioeconomic categories. Ann Nutr Metab, 2010. 56(1): p. 65–73.

    Article  CAS  PubMed  Google Scholar 

  6. Anderson, A.L., et al., Dietary patterns and survival of older adults. J Am Diet Assoc, 2011. 111(1): p. 84–91.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Zheng, J., et al., Fish consumption and CHD mortality: an updated meta-analysis of seventeen cohort studies. Public Health Nutr, 2012. 15(4): p. 725–737.

    Article  PubMed  Google Scholar 

  8. He, F.J., et al., Increased consumption of fruit and vegetables is related to a reduced risk of coronary heart disease: meta-analysis of cohort studies. J Hum Hypertens, 2007. 21(9): p. 717–728.

    Article  CAS  PubMed  Google Scholar 

  9. Alinia, S., O. Hels, and I. Tetens, The potential association between fruit intake and body weight—a review. Obes Rev, 2009. 10(6): p. 639–647.

    Article  CAS  PubMed  Google Scholar 

  10. Dauchet, L., et al., Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies. J Nutr, 2006. 136(10): p. 2588–2593.

    CAS  PubMed  Google Scholar 

  11. Carter, P., et al., Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis. BMJ, 2010. 341: p. c4229.

    Article  PubMed Central  PubMed  Google Scholar 

  12. Soerjomataram, I., et al., Increased consumption of fruit and vegetables and future cancer incidence in selected European countries. Eur J Cancer, 2010. 46(14): p. 2563–2580.

    Article  PubMed  Google Scholar 

  13. Krieger, N., D.R. Williams, and N.E. Moss, Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health, 1997. 18: p. 341–378.

    Article  CAS  PubMed  Google Scholar 

  14. Galobardes, B., A. Morabia, and M.S. Bernstein, Diet and socioeconomic position: does the use of different indicators matter? Int J Epidemiol, 2001. 30(2): p. 334–340.

    Article  CAS  PubMed  Google Scholar 

  15. Turrell, G., et al., Measuring socio-economic position in dietary research: is choice of socio-economic indicator important? Public Health Nutr, 2003. 6(2): p. 191–200.

    PubMed  Google Scholar 

  16. Waterlander, W.E., et al., Energy density, energy costs and income — how are they related? Public Health Nutr, 2010. 13(10): p. 1599–1608.

    Article  PubMed  Google Scholar 

  17. Drewnowski, A., Obesity and the food environment: dietary energy density and diet costs. Am J Prev Med, 2004. 27(3 Suppl): p. 154–162.

    Article  PubMed  Google Scholar 

  18. Darmon, N., A. Briend, and A. Drewnowski, Energy-dense diets are associated with lower diet costs: a community study of French adults. Public Health Nutr, 2004. 7(1): p. 21–27.

    Article  PubMed  Google Scholar 

  19. Drewnowski, A., et al., Low-energy-density diets are associated with higher diet quality and higher diet costs in French adults. J Am Diet Assoc, 2007. 107(6): p. 1028–1032.

    Article  PubMed  Google Scholar 

  20. McLeod, E.R., K.J. Campbell, and K.D. Hesketh, Nutrition Knowledge: A Mediator between Socioeconomic Position and Diet Quality in Australian First-Time Mothers. J Am Diet Assoc, 2011. 111(5): p. 696–704.

    Article  PubMed  Google Scholar 

  21. Malon, A., et al., Compliance with French nutrition and health program recommendations is strongly associated with socioeconomic characteristics in the general adult population. J Am Diet Assoc, 2010. 110(6): p. 848–856.

    Article  PubMed  Google Scholar 

  22. Giskes, K., et al., A multilevel study of socio-economic inequalities in food choice behaviour and dietary intake among the Dutch population: the GLOBE study. Public Health Nutr, 2006. 9(1): p. 75–83.

    Article  PubMed  Google Scholar 

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

    Article  PubMed Central  PubMed  Google Scholar 

  24. van Rossum, C.T., et al., Education and nutrient intake in Dutch elderly people. The Rotterdam Study. Eur J Clin Nutr, 2000. 54(2): p. 159–165.

    Article  PubMed  Google Scholar 

  25. Katsarou, A., et al., Socio-economic status, place of residence and dietary habits among the elderly: the Mediterranean islands study. Public Health Nutr, 2010. 13(10): p. 1614–1621.

    Article  PubMed  Google Scholar 

  26. Darmon, N. and A. Drewnowski, Does social class predict diet quality? Am J Clin Nutr, 2008. 87(5): p. 1107–117.

    CAS  PubMed  Google Scholar 

  27. Brownie, S., Why are elderly individuals at risk of nutritional deficiency? Int J Nurs Pract, 2006. 12(2): p. 110–118.

    Article  PubMed  Google Scholar 

  28. Huisman, M., et al., Cohort profile: the Longitudinal Aging Study Amsterdam. Int J Epidemiol, 2011. 40(4): p. 868–876.

    Article  PubMed  Google Scholar 

  29. Planbureau, C., Modaal inkomen. http://www.cpb.nl/onderwerp/arbeidsmarkt (accessed June 2012). 2012.

    Google Scholar 

  30. Koster, A., et al., Explanations of socioeconomic differences in changes in physical function in older adults: results from the Longitudinal Aging Study Amsterdam. BMC Public Health, 2006. 6: p. 244.

    Article  PubMed Central  PubMed  Google Scholar 

  31. Sixma, H. and W. Ultee, Een beroepsprestigeschaal voor Nederland in de jaren tachtig. Mens en Maatschappij 1983; 58:360–382. 1983.

    Google Scholar 

  32. Block, G., et al., A rapid food screener to assess fat and fruit and vegetable intake. American journal of preventive medicine, 2000. 18(4): p. 284–288.

    Article  CAS  PubMed  Google Scholar 

  33. Kim, D.J. and E.J. Holowaty, Brief, validated survey instruments for the measurement of fruit and vegetable intakes in adults: a review. Prev Med, 2003. 36(4): p. 440–447.

    Article  PubMed  Google Scholar 

  34. Gezondheidsraad, Richtlijnen goede voeding 2006 (Dietary Guidelines 2006) — Den Haag: Gezondheidsraad, 2006; publicatie nr A06/08.

  35. Stel, V., et al., Comparison of the LASA Physical Activity Questionnaire with a 7-day diary and pedometer. J Clin Epidemiol. 2004 Mar;57(3):252–258, 2004.

    Article  PubMed  Google Scholar 

  36. Permanent Onderzoek Leefsituatie (POLS) 2005–2008. In: Volksgezondheid Toekomst Verkenning, Nationale Atlas Volksgezondheid. Bilthoven: RIVM, 〈http://www.zorgatlas.nl〉 Zorgatlasßeïnvloedende factoren/Lichamelijke eigenschappen, 8 april 2011.

    Google Scholar 

  37. Radloff, L., The CES-D scale: a self-report depression scale for research in the general population. ApplPsych Meas, 1997. 1, 385–401.

    Article  Google Scholar 

  38. Berkman, L., C. Berkman, and e.a. Kasl S, Depressive symptoms in relation to physical health and functioning in the elderly. Am J Epidemiol, 1986. 124, 372–388.

    CAS  PubMed  Google Scholar 

  39. Penninx, B.W., et al., Changes in depression and physical decline in older adults: a longitudinal perspective. J Affect Disord, 2000. 61(1–2): p. 1–12.

    Article  CAS  PubMed  Google Scholar 

  40. Knoops, K.T., et al., Mediterranean diet, lifestyle factors, and 10-year mortality in elderly European men and women: the HALE project. Jama, 2004. 292(12): p. 1433–1439.

    Article  PubMed  Google Scholar 

  41. Stanner, S. and A. Denny, Healthy ageing: the cardiovascular system. Healthy Ageing: The Role of Nutrition and Lifestyle. The Report of a British Nutrition Foundation Task Force, (S Stanner, R Thompson, JL Buttriss eds), pp. 159–190. Wiley-Blackwell: Oxford, 2009.

    Google Scholar 

  42. Davies, N., Promoting healthy ageing: the importance of lifestyle. Nurs Stand, 2011. 25(19): p. 43–49; quiz 50.

    Article  PubMed  Google Scholar 

  43. Rizzuto, D., et al., Lifestyle, social factors, and survival after age 75: population based study. BMJ, 2012. 345: p. e5568.

    Article  PubMed Central  PubMed  Google Scholar 

  44. Turrell, G. and A.M. Kavanagh, Socio-economic pathways to diet: modelling the association between socio-economic position and food purchasing behaviour. Public Health Nutr, 2006. 9(3): p. 375–383.

    Article  PubMed  Google Scholar 

  45. Riediger, N.D. and M.H. Moghadasian, Patterns of fruit and vegetable consumption and the influence of sex, age and socio-demographic factors among Canadian elderly. J Am Coll Nutr, 2008. 27(2): p. 306–313.

    Article  PubMed  Google Scholar 

  46. Parmenter, K., J. Waller, and J. Wardle, Demographic variation in nutrition knowledge in England. Health Educ Res, 2000. 15(2): p. 163–174.

    Article  CAS  PubMed  Google Scholar 

  47. Hendrie, G.A., J. Coveney, and D. Cox, Exploring nutrition knowledge and the demographic variation in knowledge levels in an Australian community sample. Public Health Nutr, 2008. 11(12): p. 1365–1371.

    Article  PubMed  Google Scholar 

  48. Gasquet, I., et al., Construction of a questionnaire measuring outpatients’ opinion of quality of hospital consultation departments. Health Qual Life Outcomes, 2004. 2: p. 43.

    Article  PubMed Central  PubMed  Google Scholar 

  49. Wall, J., et al., Effectiveness of monetary incentives in modifying dietary behavior:a review of randomized, controlled trials. Nutr Rev, 2006. 64(12): p. 518–531.

    Article  PubMed  Google Scholar 

  50. Blakely, T., et al., Do effects of price discounts and nutrition education on food purchases vary by ethnicity, income and education? Results from a randomised, controlled trial. J Epidemiol Community Health, 2011. 65(10): p. 902–908.

    Article  PubMed  Google Scholar 

  51. Estaquio, C., et al., Socioeconomic differences in fruit and vegetable consumption among middle-aged French adults: adherence to the 5 A Day recommendation. J Am Diet Assoc, 2008. 108(12): p. 2021–2030.

    Article  PubMed  Google Scholar 

  52. Rossum, C.T.M.v., et al., Dutch Food Consumption Survey 2007–2010, ed. R.R. 350050006/2011. 2011, National Institute for Public Health and the Environment.

    Google Scholar 

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Correspondence to S. Coosje Dijkstra.

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Dijkstra, S.C., Neter, J.E., Brouwer, I.A. et al. Adherence to dietary guidelines for fruit, vegetables and fish among older Dutch adults; the role of education, income and job prestige. J Nutr Health Aging 18, 115–121 (2014). https://doi.org/10.1007/s12603-013-0402-3

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