Skip to main content
Log in

Seven-year predictors of self-rated health and life satisfaction in the elderly: The proof study

  • Published:
The journal of nutrition, health & aging

Abstract

Objectives

To investigate the relationship between cognitive performance, affective state, metabolic syndrome and 7-year follow-up self-rated health (SRH) and perceived life satisfaction (PLS).

Design

Analysis of a prospective cohort study.

Setting

The PROOF study, including 1011 elderly community residents.

Participants

Six hundred and fifty seven subjects completed metabolic syndrome (Met S) variables, neuropsychological and affective measurements at baseline, and then returned a 7-year follow-up questionnaire which included SRH and PLS.

Measurements

The prospective association between cognitive function, Met S and each of its components, and affective disorders and subsequent subjective health and quality of life was examined. Covariates included educational level and use of tobacco. The analyses were made in men and women separately.

Results

In multivariate models, the presence of Met S was significantly associated to weaker SRH (OR = 2.78, p = 0.009 in men and OR = 2.0, p = 0.02 in women). Higher triglycerides rate were associated with weaker SRH in men (OR = 2.23, p = 0.002) and higher fasting glucose in women (OR = 2.54, p = 0.006). Global Met S and abdominal obesity was significantly associated to weaker PLS in women only (respectively OR = 2.70, p = 0.0002 and OR = 1.9, p = 0.02). Depressive symptoms were significantly associated to both weaker SRH and PLS in men (OR = 1.30, p = 0.002; OR = 1.44, p < 0.0001 for SRH and PLS respectively) and in woman (OR = 1.09, p = 0.04; OR = 1.26, p < 0.0001 for SRH and PLS respectively). Anxiety was linked to both weaker SRH and PLS in women (OR = 1.17, p = 0.002 and OR = 1.11, p = 0.03 for SRH and PLS respectively). Finally, lower executive function was associated with weaker PLS in men (OR = 0.43, p = 0.0005).

Conclusion

metabolic syndrome and certain of its components, anxiety and depressive symptoms, are independent predictors of poorer subjective health and quality of life as assessed over a period of 7 years in a population of a non-demented aging community. Moreover, executive performance was linked to subsequent quality of life in men. Many of these factors being treatable, our findings point to the necessity of providing preventive care strategies by the management of cardiovascular risk factors and anxio-depressive symptoms.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Rowe, J. & Kahn, R. Human aging: usual and successful. Science 1987;237: 143–149.

    Article  CAS  PubMed  Google Scholar 

  2. Strawbridge, W. J., Cohen, R. D., Shema, S. J. & Kaplan, G. A. Successful aging: predictors and associated activities. Am J Epidemiol 1996;144: 135–141.

    Article  CAS  PubMed  Google Scholar 

  3. Newman, A. B., Arnold, A. M., Naydeck, B. L., Fried, L. P., Burke, G. L., Enright, P., Gottdiener, J., Hirsch, C., O’Leary, D. & Tracy, R. “Successful aging”: effect of subclinical cardiovascular disease. Arch Intern Med 2003;163: 2315–2322.

    Article  PubMed  Google Scholar 

  4. Idler, E. L., Kasl, S. V. & Lemke, J. H. Self-evaluated health and mortality among the elderly in New Haven, Connecticut, and Iowa and Washington counties, Iowa. 1982–1986. Am J Epidemiol 1990;131: 91–103.

    CAS  PubMed  Google Scholar 

  5. Bowling, A. & Dieppe, P. What is successful ageing and who should define it? Bmj 2005;331: 1548–1551.

    Article  PubMed Central  PubMed  Google Scholar 

  6. Menec, V. H. (The relation between everyday activities and successful aging: a 6-year longitudinal study. J Gerontol B Psychol Sci Soc Sci 2003;58: S74–82.

    Article  PubMed  Google Scholar 

  7. Benyamini, Y., Leventhal, E. A. & Leventhal, H. Elderly people’s ratings of the importance of health-related factors to their self-assessments of health. Soc Sci Med 2003;56: 1661–1667.

    Article  PubMed  Google Scholar 

  8. Ried, L. D., Tueth, M. J., Handberg, E. & Nyanteh, H. Validating a self-report measure of global subjective well-being to predict adverse clinical outcomes. Qual Life Res 2006;15:675–686.

    Article  PubMed  Google Scholar 

  9. Paulson, D., Bowen, M. E. & Lichtenberg, P. A. Successful aging and longevity in older old women: the role of depression and cognition. J Aging Res 2011: 912680.

    Google Scholar 

  10. Shapiro, A. & Taylor, M. Effects of a community-based early intervention program on the subjective well-being, institutionalization, and mortality of low-income elders. Gerontologist 2002;42: 334–341.

    Article  PubMed  Google Scholar 

  11. Ware, J. E., Jr. John E. Ware Jr. on health status and quality of life assessment and the next generation of outcomes measurement. Interview by Marcia Stevic and Katie Berry. J Healthc Qual 1999;21: 12–17.

    PubMed  Google Scholar 

  12. Castro-Lionard, K., Thomas-Anterion, C., Crawford-Achour, E., Rouch, I., Trombert-Paviot, B., Barthelemy, J. C, Laurent, B., Roche, F. & Gonthier, R. Can maintaining cognitive function at 65 years old predict successful ageing 6 years later? The PROOF study. Age Ageing 2011;40: 259–265.

    Article  PubMed  Google Scholar 

  13. Ford, E. S. & Li, C. Metabolic syndrome and health-related quality of life among U.S. adults. Ann Epidemiol 2008;18: 165–171.

    Article  PubMed  Google Scholar 

  14. Tziallas, D., Kastanioti, C., Kostapanos, M. S., Skapinakis, P., Elisaf, M. S. & Mavreas, V. The impact of the metabolic syndrome on health-related quality of life: a cross-sectional study in Greece. Eur J Cardiovasc Nurs 2012;11: 297–303.

    PubMed  Google Scholar 

  15. Park, S. S., Yoon, Y. S. & Oh, S. W. Health-related quality of life in metabolic syndrome: The Korea National Health and Nutrition Examination Survey Diabetes Res Clin Pract 2005;91: 381–388.

    Google Scholar 

  16. Amiri, P., Hosseinpanah, F., Rambod, M., Montazeri, A. & Azizi, F. Metabolic syndrome predicts poor health-related quality of life in women but not in men: Tehran Lipid and Glucose Study. J Womens Health (Larchmt) 2010;19: 1201–1207.

    Article  Google Scholar 

  17. Laudisio, A., Marzetti, E., Antonica, L., Pagano, F., Vetrano, D. L., Bernabei, R. & Zuccala, G. Metabolic syndrome and quality of life in the elderly: age and gender differences. Eur J Nutr, 2012.

    Google Scholar 

  18. Barthelemy, J. C, Pichot, V., Dauphinot, V., Celle, S., Laurent, B., Garcin, A., Maudoux, D., Kerleroux, J., Lacour, J. R. et al. Autonomic nervous system activity and decline as prognostic indicators of cardiovascular and cerebrovascular events: the’ PROOF’ Study. Study design and population sample. Associations with sleep-related breathing disorders: the’ SYNAPSE’ Study. Neuroepidemiology 2007;29: 18–28.

    Article  PubMed  Google Scholar 

  19. NCEP. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). Jama 2001;285: 2486–2497.

    Article  Google Scholar 

  20. Grober, E. & Buschke, H. Genuine memory deficits in dementia. Developmental neuropsychology 1987;3: 13–36.

    Article  Google Scholar 

  21. Van Der Linden, M. L’évaluation des troubles de la mémoire, présentation de quatre tests de mémoire épisodique (avec leur étalonnage)., Marseille, 2004.

    Google Scholar 

  22. Wechsler, D. Echelle d’intellligence de Wechsler pour Adultes, Paris, 2000.

    Google Scholar 

  23. Thomas, S. A. & Lincoln, N. B. Depression and cognitions after stroke: validation of the Stroke Cognitions Questionnaire Revised (SCQR). Disabil Rehabil 2008;30: 1779–1785.

    Article  PubMed  Google Scholar 

  24. Reitan, R. M. Manual for administration of neuropsychological test batteries for adults and children., Tucson, AZ, 1979.

    Google Scholar 

  25. Baddeley, A., Delia Sala, S., Papagno, C. & Spinnler, H. Dual-task performance in dysexecutive and nondysexecutive patients with a frontal lesion. Neuropsychology 1997;11: 187–194.

    Article  CAS  PubMed  Google Scholar 

  26. Stroop, J. Studies of interference in serial verbal reactions. Journal of experimental Psychology 1935;18: 643–662.

    Article  Google Scholar 

  27. Cardebat, D., Doyon, B., Puel, M., Goulet, P. & Joannette, Y. Evocation lexicale formelle et sémantique chez des sujets normaux: Performances et dynamique de production en fonction du sexe, de l’âge et du niveau d’études. Acta Neurologica Belgica 1990;90:207–217.

    CAS  PubMed  Google Scholar 

  28. Pichot, P. & Brun, J. P. ([Brief self-evaluation questionnaire for depressive, asthenic and anxious dimensions]. Ann Med Psychol (Paris) 1984;142: 862–865.

    CAS  Google Scholar 

  29. Goldberg, D., Bridges, K., Duncan-Jones, P. & Grayson, D. Detecting anxiety and depression in general medical settings. BMJ 1988;297: 897–899.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  30. Van Lanschot JJB, Stalmeier PFM, Van Sandick JW & JB., H. Is a single-item visual analogue scale as valid, reliable and responsive as multi-item scales in measuring quality of life? Qual Life Res 2004;13: 311–320.

    Article  PubMed  Google Scholar 

  31. Roriz-Cruz, M., Rosset, I., Wada, T., Sakagami, T., Ishine, M., De Sa Roriz-Filho, J., Cruz, T. R., Hosseinkhani, M., Rodrigues, R. P. et al. Cognitive impairment and frontal-subcortical geriatric syndrome are associated with metabolic syndrome in a stroke-free population. Neurobiol Aging 2007;28: 1723–1736.

    Article  CAS  PubMed  Google Scholar 

  32. Miettola, J., Niskanen, L. K., Viinamaki, H., Sintonen, H. & Kumpusalo, E. (2008) Metabolic syndrome is associated with impaired health-related quality of life: Lapinlahti 2005 study. Qual Life Res 2008;17: 1055–1062.

    Article  PubMed  Google Scholar 

  33. Katano, S., Nakamura, Y., Nakamura, A., Suzukamo, Y., Murakami, Y., Tanaka, T. Okayama, A., Miura, K., Okamura, T. et al. Relationship between health-related quality of life and clustering of metabolic syndrome diagnostic components. Qual Life Res 2012;21: 1165–1170.

    Article  PubMed  Google Scholar 

  34. Sarrafzadegan, N., Gharipour, M., Ramezani, M. A., Rabiei, K., Zolfaghar, B. Tavassoli, A. A., Boshtam, M., Zarfeshani, S., Khosravi, A. & Yousefi, A. Metabolic syndrome and health-related quality of life in Iranian population. J Res Med Sci 2011;16: 254–261.

    PubMed Central  PubMed  Google Scholar 

  35. Sullivan, P. W., Ghushchyan, V., Wyatt, H. R., Wu, E. Q. & Hill, J. O. Impact of cardiometabolic risk factor clusters on health-related quality of life in the U.S. Obesity (Silver Spring) 2007;15: 511–521.

    Article  Google Scholar 

  36. Vahia, I. V., Chattillion, E., Kavirajan, H. & Depp, C. A. Psychological protective factors across the lifespan: implications for psychiatry. Psychiatr Clin North Am 2011;34: 231–248.

    Article  PubMed  Google Scholar 

  37. Visu-Petra, L., Miclea, M. & Visu-Petra, G. Individual differences in anxiety and executive functioning: a multidimensional view. Int J Psychol 48: 649–659.

  38. Bain, G. H., Lemmon, H., Teunisse, S., Starr, J. M., Fox, H. C, Deary, I. J. & Whalley, L. J. Quality of Life in healthy old age: relationships with childhood IQ. minor psychological symptoms and optimism. Soc Psychiatry Psychiatr Epidemiol 2003;38: 632–636.

    Article  PubMed  Google Scholar 

  39. Skilton, M. R., Moulin, P., Terra, J. L. & Bonnet, F. Associations between anxiety, depression, and the metabolic syndrome. Biol Psychiatry 2007;62: 1251–1257.

    Article  CAS  PubMed  Google Scholar 

  40. Auriacombe, S., Helmer, C., Amieva, H., Berr, C., Dubois, B. & Dartigues, J. F. Validity of the free and cued selective reminding test in predicting dementia: the 3C study. Neurology 74: 1760–1767.

  41. Laudisio, A., Marzetti, E., Pagano, F., Cocchi, A., Franceschi, C., Bernabei, R. & Zuccala, G. Association of metabolic syndrome with cognitive function: the role of sex and age. Clin Nutr 2008;27: 747–754.

    Article  PubMed  Google Scholar 

  42. Paul-Dauphin, A., Guillemin, F., Virion, J. M. & Briancon, S. Bias and precision in visual analogue scales: a randomized controlled trial. Am J Epidemiol 1999;150: 1117–1127.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Isabelle Rouch.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rouch, I., Achour-Crawford, E., Roche, F. et al. Seven-year predictors of self-rated health and life satisfaction in the elderly: The proof study. J Nutr Health Aging 18, 840–847 (2014). https://doi.org/10.1007/s12603-014-0557-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12603-014-0557-6

Key words

Navigation