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Open Access 02-07-2020 | Original Article

Regular participation in leisure time activities and high cardiovascular fitness improve motor sequence learning in older adults

Auteurs: K. Zwingmann, L. Hübner, W. B. Verwey, J. S. Barnhoorn, B. Godde, C. Voelcker-Rehage

Gepubliceerd in: Psychological Research | Uitgave 4/2021

Abstract

Introduction

Older adults show higher interindividual performance variability during the learning of new motor sequences than younger adults. It is largely unknown what factors contribute to this variability. This study aimed to, first, characterize age differences in motor sequence learning and, second, examine influencing factors for interindividual performance differences.

Method

30 young adults (age M = 21.89, SD = 2.08, 20 female) and 29 older adults (age M = 69.55, SD = 3.03, 18 female) participated in the study. Motor sequence learning was assessed with a discrete sequence production (DSP) task, requiring key presses to a sequence of visual stimuli. Three DSP practice phases (á 8 blocks × 16 sequences, two six-element sequences) and two transfer blocks (new untrained sequences) were performed. Older participants conducted the Mini-Mental Status Examination and a visuospatial working-memory task. All participants finished a questionnaire on everyday leisure activities and a cardiovascular fitness test.

Results

Performance speed increased with practice in both groups, but young improved more than older adults (significant Group × Time effect for response time, F(1,5) = 4.353, p = 0.004, \(\eta_{p}^{2}\) = 0.071). Accuracy did not change in any age group (non-significant Group × Time effect for error rates, F(1,5) = 2.130, p = 0.091, \(\eta_{p}^{2}\) = 0.036). Older adults revealed lower transfer costs for performance speed (significant Time × Group effect, e.g., simple sequence, F(1,2) = 10.511, p = 0.002, \(\eta_{p}^{2}\) = 0.156). High participation in leisure time activities (β = − 0.58, p = 0.010, R² = 0.45) and high cardiovascular fitness (β = − 0.49, p = 0.011, R² = 0.45) predicted successful motor sequence learning in older adults.

Discussion

Results confirmed impaired motor learning in older adults. Younger adults seem to show a better implicit knowledge of the practiced sequences compared to older adults. Regular participation in leisure time activities and cardiovascular fitness seem to prevent age-related decline and to facilitate motor sequence performance and motor sequence learning in older adults.

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Aartsen, M. J., Smits, C. H. M., van Tilburg, T., Knipscheer, K. C., & Deeg, D. J. (2002). Activity in older adults: Cause or consequence of cognitive functioning? A longitudinal study on everyday activities and cognitive performance in older adults. Journal of Gerontology, 57(2), 153–162. CrossRef

Abrahamse, E. L., Jimenéz, L., Verwey, W. B., & Clegg, B. A. (2010). Representing serial action and perception. Psychonomic Bulletin & Review. https://doi.org/10.3758/PBR.17.5.603. CrossRef

Abrahamse, E. L., Ruitenberg, M. F. L., de Kleine, E., & Verwey, W. B. (2013). Control of automated behavior: Insights from the discrete sequence production task. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2013.00082. CrossRefPubMedPubMedCentral

Baecke, J. A., Burema, J., & Frijters, J. E. (1982). A short questionnaire for the measurement of habitual physical activity in epidemiological studies. American Journal of Clinical Nutrition. https://doi.org/10.1093/ajcn/36.5.936. CrossRefPubMed

Barnhoorn, J. S., Döhring, F. R., Van Asseldonk, E. H. F., & Verwey, W. B. (2016). Similar representations of sequence knowledge in young and older adults: A study of effector independent transfer. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2016.01125. CrossRefPubMedPubMedCentral

Barnhoorn, J. S., Van Asseldonk, E. H. F., & Verwey, W. B. (2017). Differences in chunking behaviour between young and older adults diminished with extended practice. Psychological Research Psychologische Forschung. https://doi.org/10.1007/s00426-017-0963-6. CrossRefPubMed

Bentley, D. J., Newell, J., & Bishop, D. (2007). Incremental exercise test design and analysis: Implications for performance diagnostics in endurance athletics. Sports Medicine. https://doi.org/10.2165/00007256-200737070-00002. CrossRefPubMed

Bhakuni, R., & Mutha, P. K. (2015). Learning of bimanual motor sequences in normal aging. Frontiers Aging Neuroscience. https://doi.org/10.3389/fnagi.2015.00076. CrossRef

Bo, J., Borza, V., & Seidler, R. D. (2009). Age-related declines in visuospatial working memory correlate with deficits in explicit motor sequence learning. Journal of Neurophysiology. https://doi.org/10.1152/jn.00006.2009. CrossRefPubMedPubMedCentral

Bo, J., & Seidler, R. D. (2009). Visuospatial working memory capacity predicts the organization of acquired explicit motor sequences. Journal of Neurophysiology. https://doi.org/10.1152/jn.00006.2009. CrossRefPubMedPubMedCentral

Bock, O. (2005). Components of sensorimotor adaptation in young and elderly subjects. Experimental Brain Research. https://doi.org/10.1007/s00221-004-2133-5. CrossRefPubMed

Breuer, H.-W. M. (2004). Cardiopulmonary exercise tests – proposals for standardization and interpretation. Pneumologie,. https://doi.org/10.1055/s-2004-818405. CrossRefPubMed

Brown, R. M., Robertson, E. M., & Press, D. Z. (2009). Sequence skill acquisition and off-line learning in normal aging. PLoS ONE. https://doi.org/10.1371/journal.pone.0006683. CrossRefPubMedPubMedCentral

Buchfuhrer, M. J., Hansen, J. E., Robinson, T. E., Sue, D. Y., Wasserman, K., & Whipp, B. J. (1983). Optimizing the exercise protocol for cardiopulmonary assessment. Journal of Applied Physiology: Respiratory, Environmental and Exercise Physiology. https://doi.org/10.1152/jappl.1983.55.5.155. CrossRef

Buchman, A. S., Boyle, P. A., Wilson, R. S., Fleischmann, D. A., Leurgans, S., & Bennett, D. A. (2009). Association between late-life social activity and motor decline in older adults. Archives of International Medicine. https://doi.org/10.1001/archinternmed.2009.135. CrossRef

Bunce, D. J., Warr, P. B., & Cochrane, T. (1993). Blocks in choice responding as a function of age and physical fitness. Psychology of Aging, 8(1), 26–33. CrossRef

Colcombe, S., & Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Sciences. https://doi.org/10.1111/1467-9280.t01-1-01430. CrossRef

Daselaar, S. M., Rombouts, S. A. R. B., Veltman, D. J., Raaijmakers, J. G. W., & Jonker, C. (2003). Similar network activated by young and old adults during the acquisition of a motor sequence. Neurobiology of Aging. https://doi.org/10.1016/s0197-4580(03)00030-7. CrossRefPubMed

Desrosiers, J., Hébert, R., Bravo, G., & Dutil, E. (1995). The Purdue Pegboard Test: Normative data for people aged 60 and over. Disability and Rehabilitation. https://doi.org/10.3109/09638289509166638. CrossRefPubMed

Ehsani, F., Abdollahi, I., Mohseni Bandpei, M. A., Zahiri, N., & Jaberzadeh, S. (2015). Motor learning and movement performance: Older versus younger adults. Basic Clinical Neuroscience, 6(4), 231–238. PubMedPubMedCentral

El-Sayes, J., Harasym, D., Turco, C. V., Locke, M. B., & Nelson, A. J. (2018). Exercise-induced neuroplasticity: A mechanistic model and prospects for promoting plasticity. Neuroscientist. https://doi.org/10.1177/1073858418771538. CrossRefPubMed

Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”. A practical method for grading the conitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198. CrossRefPubMed

Hanna-Pladdy, B., & MacKay, A. (2011). The relation between instrumental musical activity and cognitive aging. Neuropsychology. https://doi.org/10.1037/a0021895. CrossRefPubMedPubMedCentral

Hendrickson, D. E. (1982). The biological basis of intelligence. Part II: Measurement. In H. J. Eyseneck (Ed.), A model for intelligence (pp. 197–228). Berlin: Springer. CrossRef

Howard, D. V., & Howard, J. H. (1989). Age differences in learning serial patterns: Direct versus indirect measures. Psychology and Aging, 4(3), 357. CrossRefPubMed

Howard, D. V., & Howard, J. H. (1992). Adult age differences in the rate of learning serial patterns: Evidence from direct and indirect tests. Psychology and Aging, 7(2), 232. CrossRefPubMed

Hübner, L., & Voelcker-Rehage, C. (2017). Does physical activity benefit motor performance and learning of upper extremity tasks in older adults? A systematic review. European Review of Aging and Physical Activity. https://doi.org/10.1186/s11556-017-0181-7. CrossRefPubMedPubMedCentral

Hübner, L., Godde, B., & Voelcker-Rehage, C. (2018). Acute exercise as an intervention to trigger motor memory consolidation and EEG beta activity in older adults. Neural Plasticity. https://doi.org/10.1155/2018/4756785. CrossRefPubMedPubMedCentral

Hübner, L., Vieluf, S., Godde, B., & Voelcker-Rehage, C. (2019). Explaining individual differences in fine motor performance and learning in older adults: The contribution of muscle strenght and cardiovascular fitness. Journal of Aging and Physical Activity. https://doi.org/10.1123/japa.2018-0289. CrossRefPubMed

Hultsch, D. F., Hammer, M., & Small, B. J. (1993). Age differences in cognitive performance in later life: Relationships to self-reported health and activity lifestyle. Journal of Gerontology, 48(1), 1–11. CrossRef

Hultsch, D. F., MacDonald, S. W. S., & Dixon, R. A. (2002). Variability in reaction time performance of younger and older adults. Journal of Gerontology, 57(2), 101–115. CrossRef

Jensen, A. R. (1982). Reaction time and psychometric g. In H. J. Eyseneck (Ed.), A model for intelligence (pp. 93–132). Springer: Berlin. CrossRef

King, B. R., Fogel, S. M., Albouy, G., & Doyon, J. (2013). Neural correlates of the age-related changes in motor sequence learning and motor adaptation in older adults. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2013.00142. CrossRefPubMedPubMedCentral

Lehmann, N., & Taubert, M. (2018). Exercise-induced improvement in motor learning. In H. Budde & M. Wegner (Eds.), The exercise effect on mental health: Neurobiological mechanisms (pp. 188–224). New York: Routledge. CrossRef

Li, S.-C., & Lindenberger, U. (1999). Cross-level unification: A computational exploration of the link between deterioration of neurotransmittersystems and dedifferentiation of cognitive abilities in old age. In L.-G. Nilsson & H. Markowitsch (Eds.), Cognitive neuroscience of memory (pp. 103–146). Toronto: Hogrefe & Huber.

Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390(6657), 279. CrossRefPubMed

Maier, H., & Klumb, P. L. (2002). Social participation and survival at older ages: Is the effect driven by activity content or context? European Journal of Ageing. https://doi.org/10.1007/s10433-005-0018-5. CrossRef

Myerson, J., Wagstaff, D., Poon, L. W., & Smith, G. A. (1990). The information-loss model: A mathematical theory of age-related cognitive slowing. Psychological Review, 97(4), 475–787. CrossRefPubMed

Niemann, C., Godde, B., Staudinger, U. M., & Voelcker-Rehage, C. (2014). Exercise induced changes in basal ganglia volume and cognition in older adults. Neuroscience. https://doi.org/10.1016/j.neuroscience.2014.09.033. CrossRefPubMed

Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9(1), 97–113. CrossRefPubMed

Ren, J., Wu, Y. D., Chan, J. S., & Yan, J. H. (2013). Cognitive aging affects motor performance and learning. Geriatrics & Gerontology International. https://doi.org/10.1111/j.1447-0594.2012.00914.x. CrossRef

Roone, J., & Bourgois, J. (2012). The oxygen uptake response to incremental ramp exercise: Methodological and physiological issues. Sports Medicine. https://doi.org/10.2165/11599690-000000000-00000. CrossRef

Ruitenberg, M. F., Verwey, W. B., Schutter, D. J., & Abrahamse, E. L. (2014). Cognitive and neural foundations of discrete sequence skill: A TMS study. Neuropsychologia. https://doi.org/10.1016/j.neuropsychologia.2014.01.014. CrossRefPubMed

Seidler, R. D. (2010). Neural correlates of motor learning, transfer of learning, and learning to learn. Exercise and Sport Sciences Reviews. https://doi.org/10.1097/JES.0b013e3181c5cce7. CrossRefPubMedPubMedCentral

Seidler, R. D., Bernard, J. A., Burutolu, T. B., Fling, B. W., Gordon, M. T., Gwin, J. T., et al. (2010). Motor control and aging: Links to age-related brain structural, functional, and biochemical effects. Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2009.10.005. CrossRef

Shea, C. H., Park, J.-H., & Braden, H. W. (2006). Age-related effects in sequential motor learning. Physical Therapy. https://doi.org/10.1093/ptj/86.4.478. CrossRefPubMed

Stern, C., & Munn, Z. (2010). Cognitive leisure activities and their role in preventing dementia: A systematic review. International Journal of Evidence Based Healthcare. https://doi.org/10.1111/j.1744-1609.2010.00150.x. CrossRefPubMed

Swanson, L. R., & Lee, T. D. (1992). Effects of aging and schedules of knowledge of results on motor learning. Journal of Gerontology, 47(6), 406–411. CrossRef

Tiffin, J., & Asher, E. J. (1948). The Purdue pegboard: Norms and studies of reliability and validity. Journal of Applied Psychology, 32(3), 234–247. CrossRefPubMed

Urry, K., Burns, N. R., & Baetu, I. (2018). Age-related differences in sequence learning: Findings from two visuo-motor sequence learning tasks. British Journal of Psychology. https://doi.org/10.1111/bjop.12299. CrossRefPubMed

Verghese, J., Lipton, R. B., Katz, M. J., Hall, C. B., Derby, C. A., Kuslansky, G., et al. (2003). Leisure activities and the risk of dementia in the elderly. New England Journal of Medicine, 348(25), 2508–2516. CrossRefPubMed

Verneau, M., van der Kamp, J., Savelsbergh, G. J., & de Looze, M. P. (2014). Age and time effects on implicit and explicit learning. Experimental Aging Research. https://doi.org/10.1080/0361073X.2014.926778. CrossRefPubMed

Verwey, W. B. (1999). Evidence for a multistage model of practice in a sequential movement task. Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/0096-1523.25.6.1693. CrossRef

Verwey, W. B. (2001). Concatenating familiar movement sequences: The versatile cognitive processor. Acta Psychologica, 106(1–2), 69–95. CrossRefPubMed

Verwey, W. B. (2010). Diminished motor skill development in elderly: Indications for limited motor chunk use. Acta Psychologica. https://doi.org/10.1016/j.actpsy.2010.02.001. CrossRefPubMed

Verwey, W. B., & Wright, D. L. (2014). Learning a keying sequence you never executed: Evidence for independent associative and motor chunk learning. Acta Psychologica. https://doi.org/10.1016/j.actpsy.2014.05.017. CrossRefPubMed

Verwey, W. B., Shea, C. H., & Wright, D. L. (2015). A cognitive framework for explaining serial processing and sequence execution strategies. Acta Psychologica. https://doi.org/10.3758/s13423-014-0773-4. CrossRefPubMed

Vieluf, S., Mahmoodi, J., Godde, B., Reuter, E.-M., & Voelcker-Rehage, C. (2012). The influence of age and work-related expertise on fine motor control. Journal of Gerontopsychology and Geriatric Psychiatry. https://doi.org/10.1024/1662-9647/a000071. CrossRef

Vieluf, S., Sleimen-Malkoun, R., Voelcker-Rehage, C., Jirsa, V., Reuter, E.-M., Godde, B., et al. (2017). Dynamical signatures of isometric force control as a function of age, expertise, and task constraints. Journal of Neurophysiology. https://doi.org/10.1152/jn.00691.2016. CrossRefPubMedPubMedCentral

Voelcker-Rehage, C. (2008). Motor-skill learning in older adults: A review of studies on age-related differences. European Review of Aging and Physical Activity. https://doi.org/10.1007/s11556-008-0030-9. CrossRef

Voelcker-Rehage, C., & Niemann, C. (2013). Structural and functional brain changes related to different types of physical activity across the life span. Neuroscience & Biobehavioural Reviews. https://doi.org/10.1016/j.neubiorev.2013.01.028. CrossRef

Wagner, G. G., Frick, J. R., & Schupp, J. (2007). The German Socio-Economic Panel Study (SOEP): Scope, evolution and enhancements. Journal of Applied Science Social Studies, 127(1), 139–169.

Welford, A. T. (1980). Relationships between reaction time and fatigue, stress, age and sex. In A. T. Welford (Ed.), Reaction times (pp. 321–354). New York: Academic Press.

West, R., Murphy, K. J., Armilio, M. L., Craik, F. I., & Stuss, D. T. (2002). Lapses of intention and performance variability reveal age-related increases in fluctuations of executive control. Brain and Cognition, 49(3), 402–419. CrossRefPubMed

Wu, T., & Hallett, M. (2005). The influence of normal human ageing on automatic movements. Journal of Physiology. https://doi.org/10.1113/jphysiol.2004.076042. CrossRefPubMedPubMedCentral

Titel: Regular participation in leisure time activities and high cardiovascular fitness improve motor sequence learning in older adults
Auteurs: K. Zwingmann
L. Hübner
W. B. Verwey
J. S. Barnhoorn
B. Godde
C. Voelcker-Rehage
Publicatiedatum: 02-07-2020
Uitgeverij: Springer Berlin Heidelberg
Gepubliceerd in: Psychological Research / Uitgave 4/2021
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI: https://doi.org/10.1007/s00426-020-01351-y

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