Skip to main content

Advertisement

Log in

Patterns of cognitive function in aging: the Rotterdam Study

  • NEUROEPIDEMIOLOGY
  • Published:
European Journal of Epidemiology Aims and scope Submit manuscript

Abstract

Cognitive impairment is an important hallmark of dementia, but deterioration of cognition also occurs frequently in non-demented elderly individuals. In more than 3,000 non-demented persons, aged 45–99 years, from the population-based Rotterdam Study we studied cross-sectional age effects on cognitive function across various domains. All participants underwent an extensive cognitive test battery that tapped into processing speed, executive function, verbal fluency, verbal recall and recognition, visuospatial ability and fine motor skills. General cognitive function was assessed by the g-factor, which was derived from principal component analysis and captured 49.2 % of all variance in cognition. We found strongest associations for age with g-factor [difference in z-score −0.59 per 10 years; 95 % confidence interval (CI) −0.62 to −0.56], fine motor skill (−0.53 per 10 years; 95 % CI −0.56 to −0.50), processing speed (−0.49 per 10 years; 95 % CI −0.51 to −0.46), and visuospatial ability (−0.48 per 10 years; 95 % CI −0.51 to −0.45). In contrast, the effect size for the association between age and immediate recall was only −0.25 per 10 years (95 % CI −0.28 to −0.22), which was significantly smaller than the relation between age and fine motor skill (P < 0.001). In conclusion, in non-demented persons of 45 years and older, general cognition deteriorates with aging. More specifically, fine motor skill, processing speed and visuospatial ability, but not memory, are affected most by age.

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.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Albert MS. Changes in cognition. Neurobiol Aging. 2011;32(Suppl 1):S58–63.

    Article  PubMed Central  PubMed  Google Scholar 

  2. Johnson DK, Storandt M, Morris JC, Galvin JE. Longitudinal study of the transition from healthy aging to Alzheimer disease. Arch Neurol. 2009;66(10):1254–9.

    PubMed Central  PubMed  Google Scholar 

  3. Hedden T, Oh H, Younger AP, Patel TA. Meta-analysis of amyloid-cognition relations in cognitively normal older adults. Neurology. 2013;80(14):1341–8.

    Article  CAS  PubMed  Google Scholar 

  4. Bennett DA, Wilson RS, Schneider JA, Evans DA, Beckett LA, Aggarwal NT, et al. Natural history of mild cognitive impairment in older persons. Neurology. 2002;59(2):198–205.

    Article  CAS  PubMed  Google Scholar 

  5. Tucker-Drob EM. Global and domain-specific changes in cognition throughout adulthood. Dev Psychol. 2011;47(2):331–43.

    Article  PubMed  Google Scholar 

  6. Ylikoski R, Ylikoski A, Keskivaara P, Tilvis R, Sulkava R, Erkinjuntti T. Heterogeneity of cognitive profiles in aging: successful aging, normal aging, and individuals at risk for cognitive decline. Eur J Neurol. 1999;6(6):645–52.

    Article  CAS  PubMed  Google Scholar 

  7. Finkel D, Reynolds CA, McArdle JJ, Pedersen NL. Cohort differences in trajectories of cognitive aging. J Gerontol Ser B Psychol Sci Soc Sci. 2007;62(5):P286–94.

    Article  Google Scholar 

  8. Gerstorf D, Ram N, Hoppmann C, Willis SL, Schaie KW. Cohort differences in cognitive aging and terminal decline in the Seattle Longitudinal study. Dev Psychol. 2011;47(4):1026–41.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Finkel D, Reynolds CA, McArdle JJ, Pedersen NL. Age changes in processing speed as a leading indicator of cognitive aging. Psychol Aging. 2007;22(3):558–68.

    Article  PubMed  Google Scholar 

  10. Deary IJ, Johnson W, Starr JM. Are processing speed tasks biomarkers of cognitive aging? Psychol Aging. 2010;25(1):219–28.

    Article  PubMed  Google Scholar 

  11. Johnson DK, Storandt M, Morris JC, Langford ZD, Galvin JE. Cognitive profiles in dementia: Alzheimer disease vs healthy brain aging. Neurology. 2008;71:1783–9.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  12. Deary IJ. Intelligence. Annu Rev Psychol. 2012;63:453–82.

    Article  PubMed  Google Scholar 

  13. Johnson W, te Nijenhuis J, Bouchard TJ Jr. Still just 1 g: consistent results from five test batteries. Intelligence. 2008;36(1):81–95.

    Article  Google Scholar 

  14. Hofman A, van Duijn CM, Franco OH, Ikram MA, Janssen HL, Klaver CC, et al. The Rotterdam Study: 2012 objectives and design update. Eur J Epidemiol. 2011;26(8):657–86.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Schrijvers EM, Verhaaren BF, Koudstaal PJ, Hofman A, Ikram MA, Breteler MM. Is dementia incidence declining? Trends in dementia incidence since 1990 in the Rotterdam Study. Neurology. 2012;78(19):1456–63.

    Article  CAS  PubMed  Google Scholar 

  16. Wieberdink RG, Ikram MA, Hofman A, Koudstaal PJ, Breteler MM. Trends in stroke incidence rates and stroke risk factors in Rotterdam, the Netherlands from 1990 to 2008. Eur J Epidemiol. 2012;27(4):287–95.

    Article  PubMed Central  PubMed  Google Scholar 

  17. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–98.

    Article  CAS  PubMed  Google Scholar 

  18. Houx PJ, Jolles J, Vreeling FW. Stroop interference: aging effects assessed with the Stroop color-word test. Exp Aging Res. 1993;19(3):209–24.

    Article  CAS  PubMed  Google Scholar 

  19. Lezak MD, Howieson DB, Loring DW. Neuropsychological assessment. New York: Oxford University Press; 2004.

    Google Scholar 

  20. Welsh KA, Butters N, Mohs RC, Beekly D, Edland S, Fillenbaum G, et al. The consortium to establish a registry for Alzheimer’s disease (CERAD). Part V. A normative study of the neuropsychological battery. Neurology. 1994;44(4):609–14.

    Article  CAS  PubMed  Google Scholar 

  21. Bleecker ML, Bolla-Wilson K, Agnew J, Meyers DA. Age-related sex differences in verbal memory. J Clin Psychol. 1988;44(3):403–11.

    Article  CAS  PubMed  Google Scholar 

  22. Killgore W, Glahn D, Casasanto D. Development and validation of the design organization test (DOT): a rapid screening instrument for assessing visuospatial ability. J Clin Exp Neuropsychol. 2005;27:449–59.

    Article  PubMed  Google Scholar 

  23. Tiffin J, Asher EJ. The Purdue pegboard; norms and studies of reliability and validity. J Appl Psychol. 1948;32(3):234–47.

    Article  CAS  PubMed  Google Scholar 

  24. van Rossum CT, van de Mheen H, Witteman JC, Hofman A, Mackenbach JP, Grobbee DE. Prevalence, treatment, and control of hypertension by sociodemographic factors among the Dutch elderly. Hypertension. 2000;35(3):814–21.

    Article  PubMed  Google Scholar 

  25. Wilson RS, Beckett LA, Bennett DA, Albert MS, Evans DA. Change in cognitive function in older persons from a community population: relation to age and Alzheimer disease. Arch Neurol. 1999;56(10):1274–9.

    Article  CAS  PubMed  Google Scholar 

  26. Hayden KM, Reed BR, Manly JJ, Tommet D, Pietrzak RH, Chelune GJ, et al. Cognitive decline in the elderly: an analysis of population heterogeneity. Age Ageing. 2011;40(6):684–9.

    Article  PubMed Central  PubMed  Google Scholar 

  27. Mungas D, Reed BR. Application of item response theory for development of a global functioning measure of dementia with linear measurement properties. Stat Med. 2000;19(11–12):1631–44.

    Article  CAS  PubMed  Google Scholar 

  28. Glymour MM, Tzourio C, Dufouil C. Is cognitive aging predicted by one’s own or one’s parents’ educational level? Results from the three-city study. Am J Epidemiol. 2012;175(8):750–9.

    Article  PubMed Central  PubMed  Google Scholar 

  29. Starr JM, Deary IJ, Inch S, Cross S, MacLennan WJ. Age-associated cognitive decline in healthy old people. Age Ageing. 1997;26(4):295–300.

    Article  CAS  PubMed  Google Scholar 

  30. Jenkins L, Myerson J, Joerding JA, Hale S. Converging evidence that visuospatial cognition is more age-sensitive than verbal cognition. Psychol Aging. 2000;15:157–75.

    Article  CAS  PubMed  Google Scholar 

  31. Klencklen G, Despres O, Dufour A. What do we know about aging and spatial cognition? Reviews and perspectives. Ageing Res Rev. 2012;11(1):123–35.

    Article  PubMed  Google Scholar 

  32. Salthouse TA. The processing-speed theory of adult age differences in cognition. Psychol Rev. 1996;103(3):403–28.

    Article  CAS  PubMed  Google Scholar 

  33. Sullivan EV, Rohlfing T, Pfefferbaum A. Quantitative fiber tracking of lateral and interhemispheric white matter systems in normal aging: relations to timed performance. Neurobiol Aging. 2010;31:464–81.

    Article  PubMed Central  PubMed  Google Scholar 

  34. Sachdev PS, Wen W, Christensen H, Jorm AF. White matter hyperintensities are related to physical disability and poor motor function. J Neurol Neurosurg Psychiatr. 2005;76(3):362–7.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  35. Vernooij MW, Ikram MA, Vrooman HA, Wielopolski PA, Krestin GP, Hofman A, et al. White matter microstructural integrity and cognitive function in a general elderly population. Arc Gen Psychiatr. 2009;66:545–53.

    Article  Google Scholar 

  36. Deary IJ, Corley J, Gow AJ, Harris SE, Houlihan LM, Marioni RE, et al. Age-associated cognitive decline. Br Med Bull. 2009;92:135–52.

    Article  PubMed  Google Scholar 

  37. Sullivan EV, Pfefferbaum A. Diffusion tensor imaging and aging. Neurosci Biobehav Rev. 2006;30(6):749–61.

    Article  PubMed  Google Scholar 

  38. Ikram MA, Vrooman HA, Vernooij MW, den Heijer T, Hofman A, Niessen WJ, et al. Brain tissue volumes in relation to cognitive function and risk of dementia. Neurobiol Aging. 2010;31(3):378–86.

    Article  PubMed  Google Scholar 

  39. Ikram MA, Vrooman HA, Vernooij MW, van der Lijn F, Hofman A, van der Lugt A, et al. Brain tissue volumes in the general elderly population. The Rotterdam Scan Study. Neurobiol Aging. 2008;29(6):882–90.

    Article  PubMed  Google Scholar 

  40. Herlitz A, Nilsson LG, Backman L. Gender differences in episodic memory. Mem Cognit. 1997;25(6):801–11.

    Article  CAS  PubMed  Google Scholar 

  41. Herlitz A, Yonker JE. Sex differences in episodic memory: the influence of intelligence. J Clin Exp Neuropsychol. 2002;24(1):107–14.

    Article  PubMed  Google Scholar 

  42. Buckner RL. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron. 2004;44(1):195–208.

    Article  CAS  PubMed  Google Scholar 

  43. Raz N, Rodrigue KM. Differential aging of the brain: patterns, cognitive correlates and modifiers. Neurosci Biobehav Rev. 2006;30(6):730–48.

    Article  PubMed  Google Scholar 

  44. DeCarli C, Massaro J, Harvey D, Hald J, Tullberg M, Au R, et al. Measures of brain morphology and infarction in the framingham heart study: establishing what is normal. Neurobiol Aging. 2005;26:491–510.

    Article  PubMed  Google Scholar 

  45. Baldo JV, Schwartz S, Wilkins D, Dronkers NF. Role of frontal versus temporal cortex in verbal fluency as revealed by voxel-based lesion symptom mapping. J Int Neuropsychol Soc. 2006;12(6):896–900.

    PubMed  Google Scholar 

  46. Schwartz S, Baldo J, Graves RE, Brugger P. Pervasive influence of semantics in letter and category fluency: a multidimensional approach. Brain Lang. 2003;87(3):400–11.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

JN van der Geest was supported by the Princes Beatrix Fonds. The Rotterdam Study is sponsored by the Erasmus Medical Center and Erasmus University Rotterdam, The Netherlands Organization for Scientific Research (NWO), The Netherlands Organization for Health Research and Development (ZonMW), the Research Institute for Diseases in the Elderly (RIDE), The Netherlands Genomics Initiative, the Ministry of Education, Culture and Science, the Ministry of Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam.

Conflict of interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Arfan Ikram.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 35 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hoogendam, Y.Y., Hofman, A., van der Geest, J.N. et al. Patterns of cognitive function in aging: the Rotterdam Study. Eur J Epidemiol 29, 133–140 (2014). https://doi.org/10.1007/s10654-014-9885-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10654-014-9885-4

Keywords

Navigation