Skip to main content
SpringerLink
Log in

Trajectories of nutritional risk: The Manitoba follow-up study

  • Published:
The journal of nutrition, health & aging

Abstract

Objectives

To identify patterns of nutritional risk among older men over a four-year period and to project their survival rates over the next two and a half years.

Design

A prospective longitudinal study.

Setting

Canada.

Participants

Three hundred and thirty-six male survivors of the Manitoba Follow-up Study (MFUS) cohort with an average age of 90 years in 2011.

Measurements

Four years of nutritional risk SCREEN II scores (five waves) from the male survivors of the MFUS cohort. The semi-parametric group-based trajectory approach and survival analysis were used to investigate the trajectories of nutritional risk.

Results

Of the participants, 30% lived alone. Five distinct developmental trajectory groups for nutritional risk score were identified. Significant statistical differences were found among the five trajectory groups for SF-36 mental health (p=.02), SF-36 physical health (p=<.001), perception of aging successfully (p=.04) and living alone (p=<.001). Among the five groups, the most pairwise differences were found in appetite, intake of meat and alternatives, and vegetables and fruit, weight change, skipping meals and eating with others. Men in the poorest nutritional risk trajectory group were two times more likely to die within a 2 1/2 year period compared to men in the best nutritional risk trajectory group (hazard rate = 2.33, p=.07).

Conclusion

Distinct nutritional risk trajectories were found for older men over a four year period. Poor nutritional risk trajectories are associated with higher risk of mortality for very old men over a short period of time. Timely nutritional assessments by health professionals are needed to identify older men at nutritional risk. Subsequent nutrition education and follow-up may be important in preventing further decline.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2

Similar content being viewed by others

References

  1. Council on Practice (COP) Quality Management Committee. Identifying patients at risk: ADA’s definitions for nutrition screening and nutrition assessment. J Am Diet Assoc 1994;94(8): 838–839.

    Article  Google Scholar 

  2. Keller HH. Promoting food intake in older adults living in the community: a review. Appl Physiol Nutr Metab 2007;32: 991–1000.

    Article  PubMed  Google Scholar 

  3. Keller HH, Goy R, Kane SL. Validity and reliability of SCREEN II (Seniors in the Community: Risk evaluation for Eating and Nutrition, version II). Eur J Clin Nutr 2005;59(10): 1149–1157.

    Article  CAS  PubMed  Google Scholar 

  4. Ramage-Morin PL, Garriguet D. Nutritional risk among older Canadians. Statistics Canada Catalogue no. 82-003-X. Health Reports 2013;24(3): 3–13.

    Google Scholar 

  5. Milne AC, Potter J, Vivanti A, Avenell A. Protein and energy supplementation in elderly people at risk from malnutrition. Cochrane Database Syst Rev Apr 2009;15(2): CD003288.

    Google Scholar 

  6. Keller HH, McKenzie JD. Nutritional risk in vulnerable community-living seniors. Can J Diet Prac Res 2003;64(4): 195–201.

    Article  Google Scholar 

  7. Broeska VE, Lengyel CO, Tate RB. Nutritional risk and 5-year mortality of older community-dwelling Canadian men: The Manitoba Follow-Up Study. J Nutr Gerontol Geriatr 2013;32: 317–329.

    Article  PubMed  Google Scholar 

  8. Jung SE, Hermann JR, Bishop A. Impact of nutritional risk on self-care capacity: Social support as a source of protection for community-dwelling older adults living in a rural area. J Frailty & Aging 2013;2(3): 145–149.

    CAS  Google Scholar 

  9. Wham CA, Teh ROY, Robinson M, Kerse NM. What is associated with nutrition risk in very old age? J Nutr Health Aging 2011;15(4): 247–251.

  10. Kvamme JM, Gronli O, Florholmen J, Jacobsen BK. Risk of malnutrition is associated with mental health symptoms in community living elderly men and women: the Tromso study. BMC Psychiatry 2001;11:112.

    Article  Google Scholar 

  11. Nykanen I, Lonnroos E, Kautiainen H, Sulkava R, Hartikainen S. Nutritional screening in a population-based cohort of community-dwelling older people. Eur J Pub Health 2013;23(3): 405–409.

    Article  Google Scholar 

  12. Lengyel CO, Tate RB, Bayomi DJ. Nutritional risk of Canadian community-dwelling older men: The Manitoba Follow-up Study. Can J Diet Prac Res 2014;75(1);84–88.

    Article  Google Scholar 

  13. Phillips MB, Foleye AL, Barnard R, Isenring EA, Miller MD. Nutritional screening in community-dwelling older adults: a systematic literature review. Asia Pac J Clin Nutr 2010;19(3): 440–449.

    PubMed  Google Scholar 

  14. Akhtar U, Keller HH, Tate RB, Lengyel CO. Construct validation of three nutrition questions using health and diet ratings in older Canadian males living in the community. Can J Diet Prac Res Aug 2015;(17):1–6.

    Google Scholar 

  15. Twisk J, Hoekstra T. Classifying developmental trajectories over time should be done with great caution: a comparison between methods. J Clin Epidemiol 2012;65: 1078–1087.

    Article  PubMed  Google Scholar 

  16. Tate RB, Cuddy TE, Mathewson FAL. Cohort profile: The Manitoba Follow-up Study. Int J Epidemiol 2015;44(5): 1528–1536.

    Article  PubMed  Google Scholar 

  17. Jones B, Nagin DS, Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Sociol Methedol Res 2001;24: 892–901.

    Google Scholar 

  18. Nagin DS. Analyzing developmental trajectories: a semi-parametric, group-based approach. Psychol Methods 1999;4: 139–157.

    Article  Google Scholar 

  19. Nagin DS. Group-based modeling of development. Landon: Harvard University Press,2005.

    Book  Google Scholar 

  20. Kass RE, Raftery AE. Bayes factor. J Am Statist Assoc 1995;90: 773–795.

    Article  Google Scholar 

  21. Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework & item selection. Med Care 1992;30(6): 473–483.

    Article  PubMed  Google Scholar 

  22. Vesnaver E, Keller HH, Payette H, Shatenstein B. Dietary resilience as described by older community-dwelling adults from the NuAge study “If there is a will -there is a way!”. Appetite 2012;58(2): 730–738.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Human Nutritional Sciences, University of Manitoba, 405 Human Ecology Building, 35 Chancellors Circle, Winnipeg, Manitoba, Canada, R3T 2N2

    Christina O. Lengyel

  2. Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada

    D. Jiang & R. B. Tate

Authors
  1. Christina O. Lengyel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. B. Tate
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christina O. Lengyel.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lengyel, C.O., Jiang, D. & Tate, R.B. Trajectories of nutritional risk: The Manitoba follow-up study. J Nutr Health Aging 21, 604–609 (2017). https://doi.org/10.1007/s12603-016-0826-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12603-016-0826-7

Key words

Search

Navigation