Don't lose your brain at work - The role of recurrent novelty at work in cognitive and brain aging

Frontiers in Psychology

Volumn 8, Issue FEB, 2017, Pages

  Oltmanns, Jan ^a,b   Godde, Ben ^b   Winneke, Axel H ^b,c   Richter, Götz ^b,d   Niemann, Claudia ^b   Voelcker Rehage, Claudia ^b,e   Schömann, Klaus ^b,f   Staudinger, Ursula M ^b,g  

^a DAIMLER AG   (Germany)

^b JACOBS UNIVERSITY BREMEN   (Germany)

^c FRAUNHOFER IDMT   (Germany)

^d FEDERAL INSTITUTE FOR OCCUPATIONAL SAFETY AND HEALTH   (Germany)

^e CHEMNITZ UNIVERSITY OF TECHNOLOGY   (Germany)

^f German Institute for Adult Education Leibniz Centre for Lifelong Learning   (Germany)

^g Columbia University ^*  (United States)

Author keywords

Cognitive aging; Gray matter volume; Healthy aging at work; Job complexity; Lifespan development; Plasticity; Use it or lose it; Work task changes

Indexed keywords

EID: 85014030383     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2017.00117     Document Type: Article

References (80)

1. Abutalebi, J., Della Rosa, P. A., Green, D. W., Hernandez, M., Scifo, P., Keim, R., et al. (2012). Bilingualism tunes the anterior cingulate cortex for conflict monitoring. Cereb. Cortex 22, 2076-2086. doi: 10.1093/cercor/bhr287
2. Ackerman, P. (1988). Determinants of individual differences during skill acquisition: cognitive abilities and information processing. J. Exp. Psychol. Gen. 117, 288-318. doi: 10.1037//0096-3445.117.3.288
3. Andel, R., Silverstein, M., and Kareholt, I. (2015). The role of midlife occupational complexity and leisure activity in late-life cognition. J. Gerontol. B Psychol. Sci. Soc. Sci. 70, 314-321. doi: 10.1093/geronb/gbu110
4. Bäckman, L., Lindenberger, U., Li, S., and Nyberg, L. (2010). Linking cognitive aging to alterations in dopamine neurotransmitter functioning: recent data and future avenues. Neurosci. Biobehav. Rev. 34, 670-677. doi: 10.1016/j.neubiorev.2009.12.008
5. Baltes, P. B. (1987). Theoretical propositions of life-span developmental psychology: on the dynamics between growth and decline. Dev. Psychol. 23, 611-626. doi: 10.1037/0012-1649.23.5.611
6. Baltes, P. B., Lindenberger, U., and Staudinger, U. M. (2006). "Lifespan theory in developmental psychology," in Handbook of Child Psychology, 6th Edn, ed. R. M. Lerner (New York, NY: Wiley), 569-664.
7. Bergua, V., Fabrigoule, C., Barberger-Gateau, P., Dartigues, J., Swendsen, J., and Bouisson, J. (2006). Preferences for routines in older people: associations with cognitive and psychological vulnerability. Int. J. Geriatr. Psychiatry 21, 990-998. doi: 10.1002/gps.1597
8. Bowen, C. E., Noack, M. G., and Staudinger, U. M. (2011). "Aging in the work context," in Handbook of the Psychology of Aging, 7th Edn, eds K. W. Schaie and S. L. Willis (San Diego, CA: Elsevier Academic Press), 263-277. doi: 10.1016/B978-0-12-380882-0.00017-6
9. Brandtstädter, J., and Renner, G. (1990). Tenacious goal pursuit and flexible goal adjustment-Explication and age-related analysis of assimilative and accommodative strategies of coping. Psychol. Aging 5, 58-67. doi: 10.1037/0882-7974.5.1.58
10. Bush, G., Luu, P., and Posner, M. I. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends Cogn. Sci. 4, 215-222. doi: 10.1016/S1364-6613(00)01483-2
11. Campion, M. A., Cheraskin, L., and Stevens, M. J. (1994). Career-related antecedents and outcomes of job rotation. Acad. Manage. J. 37, 1518-1542. doi: 10.2307/256797
12. Chee, M. W. L., Chen, K. H. M., Zheng, H., Chan, K. P. L., Isaac, V., Sim, S. K. Y., et al. (2009). Cognitive function and brain structure correlations in healthy elderly East Asians. Neuroimage 46, 257-269. doi: 10.1016/j.neuroimage.2009.01.036
13. De Lange, A., Taris, T., Jansen, P., Smulders, P., Houtman, I., and Kompier, M. (2006). "Age as a factor in the relation between work and mental health: results from the longitudinal TAS survey," in Occupational Health Psychology: European Perspectives on Research, Education and Practice, Vol. 1, eds J. Houdmont, and S. McIntyre (Maia: ISMAI Publications), 21-45.
14. Deary, I. J., Strand, S., Smith, P., and Fernandes, C. (2007). Intelligence and educational achievement. Intelligence 35, 13-21. doi: 10.1016/j.intell.2006.02.001
15. Dekkers-Sánchez, P. M., Hoving, J. L., Sluiter, J. K., and Frings-Dresen, M. H. (2008). Factors associated with long-term sick leave in sick-listed employees: a systematic review. Occup. Environ. Med. 65, 153-157. doi: 10.1136/oem.2007.034983
16. Doyon, J., and Benali, H. (2005). Reorganization and plasticity in the adult brain during learning of motor skills. Curr. Opin. Neurobiol. 15, 161-167. doi: 10.1016/j.conb.2005.03.004
17. Draganski, B., and May, A. (2008). Training-induced structural changes in the adult human brain. Behav. Brain Res. 192, 137-142. doi: 10.1016/j.bbr.2008.02.015
18. Ebisch, S. J. H., Mantini, D., Romanelli, R., Tommasi, M., Perrucci, M. G., Romani, G. L., et al. (2013). Long-range functional interactions of anterior insula and medial frontal cortex are differently modulated by visuospatial and inductive reasoning tasks. Neuroimage 78, 426-438. doi: 10.1016/j.neuroimage.2013.04.058
19. Eklund, A., Nichols, T. E., and Knutsson, H. (2016). Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates. Proc. Natl. Acad. Sci. U.S.A. 113, 7900-7905. doi: 10.1073/pnas.1612033113
20. Elmer, S., Hänggi, J., and Jäncke, L. (2014). Processing demands upon cognitive, linguistic, and articulatory functions promote grey matter plasticity in the adult multilingual brain: insights from simultaneous interpreters. Cortex 54, 179-189. doi: 10.1016/j.cortex.2014.02.014
21. Finkel, D., Andel, R., Gatz, M., and Pedersen, N. L. (2009). The role of occupational complexity in trajectories of cognitive aging before and after retirement. Psychol. Aging 24, 563-573. doi: 10.1037/a0015511
22. Fisher, G. G., Stachowski, A., Infurna, F. J., Faul, J. D., Grosch, J., and Tetrick, L. E. (2014). Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. J. Occup. Health Psychol. 19, 231-242. doi: 10.1037/a0035724
23. Foster, J. K., Behrmann, M., and Stuss, D. T. (1995). Aging and visual search: generalized cognitive slowing or selective deficit in attention? Aging Neuropsychol. Cogn. 2, 279-299. doi: 10.1080/13825589508256604
24. Friedenreich, C. M. (1994). Improving long-term recall in epidemiologic studies. Epidemiology 5, 1-3. doi: 10.1097/00001648-199401000-00001
25. Gajewski, P. D., Wild-Wall, N., Schapkin, S. A., Erdmann, U., Freude, G., and Falkenstein, M. (2010). Effects of aging and job demands on cognitive flexibility assessed by task switching. Biol. Psychol. 85, 187-199. doi: 10.1016/j.biopsycho.2010.06.009
26. Ghisletta, P., McArdle, J. J., and Lindenberger, U. (2006). Longitudinal cognition-survival relations in old and very old age-13-year data from the Berlin aging study. Eur. Psychol. 11, 204-223. doi: 10.1027/1016-9040.11.3.204
27. Gignac, G. E. (2005). Openness to experience, general intelligence, and crystallized intelligence: a methodological extension. Intelligence 33, 161-167. doi: 10.1016/j.intell.2004.11.001
28. Grady, C. (2012). The cognitive neuroscience of ageing. Nat. Rev. Neurosci. 13, 491-505. doi: 10.1038/nrn3256
29. Greenwood, P. M. (2007). Functional plasticity in cognitive aging: review and hypothesis. Neuropsychology 21, 657-673. doi: 10.1037/0894-4105.21.6.657
30. Griffeth, R. W., Hom, P. W., and Gaertner, S. (2000). A meta-analysis of antecedents and correlates of employee turnover: update, moderator tests, and research implications for the next millennium. J. Manage. 26, 463-488. doi: 10.1177/014920630002600305
31. Head, D., Rodrigue, K. M., Kennedy, K. M., and Raz, N. (2008). Neuroanatomical and cognitive mediators of age-related differences in episodic memory. Neuropsychology 22, 491-507. doi: 10.1037/0894-4105.22.4.491
32. Hedden, T., and Gabrieli, J. (2004). Insights into the ageing mind: a view from cognitive neuroscience. Nat. Rev. Neurosci. 5, 87-112. doi: 10.1038/nrn1323
33. Hertzog, C., Kramer, A. F., Wilson, R. S., and Lindenberger, U. (2009). Enrichment effects on adult cognitive development: can the functional capacity of older adults be preserved and enhanced? Psychol. Sci. Public Interest 9, 1-65. doi: 10.1111/j.1539-6053.2009.01034.x
34. Hommel, B., Li, K., and Li, S. (2004). Visual search across the life span. Dev. Psychol. 40, 545-558. doi: 10.1037/0012-1649.40.4.545
35. Jaeggi, S. M., Buschkuehl, M., Perrig, W. J., and Meier, B. (2010). The concurrent validity of the N-back task as a working memory measure. Memory 18, 394-412. doi: 10.1080/09658211003702171
36. Jernigan, T. L., Archibald, S. L., Fennema-Notestine, C., Gamst, A. C., Stout, J. C., Bonner, J., et al. (2001). Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiol. Aging 22, 581-594. doi: 10.1016/S0197-4580(01)00217-2
37. Kalpouzos, G., Persson, J., and Nyberg, L. (2012). Local brain atrophy accounts for functional activity differences in normal aging. Neurobiol. Aging 33, e1-e13. doi: 10.1016/j.neurobiolaging.2011.02.021
38. Kohn, M. L., and Schooler, C. (1978). The reciprocal effects of the substantive complexity of work and intellectual flexibility: a longitudinal assessment. Am. J. Sociol. 84, 24-52. doi: 10.1086/226739
39. Li, S., Lindenberger, U., and Bäckman, L. (2010). Dopaminergic modulation of cognition across the life span. Neurosci. Biobehav. Rev. 34, 625-630. doi: 10.1016/j.neubiorev.2010.02.003
40. Lidwall, U., Bergendorff, S., Voss, M., and Marklund, S. (2009). Long-term sickness absence: changes in risk factors and the population at risk. Int. J. Occup. Med. Environ. Health 22, 157-168. doi: 10.2478/v10001-009-0018-3
41. Lövdén, M., Bäckman, L., Lindenberger, U., Schaefer, S., and Schmiedek, F. (2010). A theoretical framework for the study of adult cognitive plasticity. Psychol. Bull. 136, 659-676. doi: 10.1037/a0020080
42. Mann, S. L., Hazlett, E. A., Byne, W., Hof, P. R., Buchsbaum, M. S., Cohen, B. H., et al. (2011). Anterior and posterior cingulate cortex volume in healthy adults: effects of aging and gender differences. Brain Res. 1401, 18-29. doi: 10.1016/j.brainres.2011.05.050
43. Markham, J. A., and Greenough, W. T. (2004). Experience-driven brain plasticity: beyond the synapse. Neuron Glia Biol. 1, 351-363. doi: 10.1017/S1740925X05000219
44. McCrae, R. R. (1996). Social consequences of experiential openness. Psychol. Bull. 120, 323-337. doi: 10.1037/0033-2909.120.3.323
45. Müller, V. I., Langner, R., Cieslik, E. C., Rottschy, C., and Eickhoff, S. B. (2014). Interindividual differences in cognitive flexibility: influence of gray matter volume, functional connectivity and trait impulsivity. Brain Struct. Funct. 220, 2401-2414. doi: 10.1007/s00429-014-0797-6
46. Nelson, S. M., Dosenbach, N. U. F., Cohen, A. L., Wheeler, M. E., Schlaggar, B. L., and Petersen, S. E. (2010). Role of the anterior insula in task-level control and focal attention. Brain Struct. Funct. 214, 669-680. doi: 10.1007/s00429-010-0260-2
47. Oltmanns, J., Richter, G., Godde, B., and Staudinger, U. M. (2016). "Healthy aging at work," in Healthy at Work-Interdisciplinary Perspectives, eds M. Wiencke, M. Cacace, and S. Fischer (Cham: Springer), 69-84.
48. Park, D. C., Lodi-Smith, J., Drew, L., Haber, S., Hebrank, A., Bischof, G. N., et al. (2014). The impact of sustained engagement on cognitive function in older adults: the synapse project. Psychol. Sci. 25, 103-112. doi: 10.1177/0956797613499592
49. Petersen, S. E., van Mier, H., Fiez, J. A., and Raichle, M. E. (1998). The effects of practice on the functional anatomy of task performance. Proc. Natl. Acad. Sci. U.S.A. 95, 853-860. doi: 10.1073/pnas.95.3.853
50. Potter, G. G., Helms, M. J., Burke, J. R., Steffens, D. C., and Plassman, B. L. (2007). Job demands and dementia risk among male twin pairs. Alzheimers Dement. 3, 192-199. doi: 10.1016/j.jalz.2007.04.377
51. Quick, J. C., Camara, W. J., Hurrell, J. J. J., Johnson, J. V., Piotrowski, C. S., Sauter, S. L., et al. (1997). Introduction and historical overview. J. Occup. Health Psychol. 2, 3-6. doi: 10.1037/1076-8998.2.1.3
52. Rammstedt, B., and John, O. P. (2005). Kurzversion des big five inventory (BFI-K). Diagnostica 51, 195-206. doi: 10.1026/0012-1924.51.4.195
53. Raz, N., Gunning-Dixon, F., Head, D., Dupuis, J. H., and Acker, J. D. (1998). Neuroanatomical correlates of cognitive aging: evidence from structural magnetic resonance imaging. Neuropsychology 12, 95-114. doi: 10.1037/0894-4105.12.1.95
54. Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., et al. (2005). Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb. Cortex 15, 1676-1689. doi: 10.1093/cercor/bhi044
55. Raz, N., and Rodrigue, K. M. (2006). Differential aging of the brain: patterns, cognitive correlates and modifiers. Neurosci. Biobehav. Rev. 30, 730-748. doi: 10.1016/j.neubiorev.2006.07.001
56. Reuter-Lorenz, P. A., and Park, D. C. (2014). How does it STAC up? Revisiting the scaffolding theory of aging and cognition. Neuropsychol. Rev. 24, 355-370. doi: 10.1007/s11065-014-9270-9
57. Rotter, J. B. (1966). Generalized expectancies for internal versus external control of reinforcement. Psychol. Monogr. Gen. Appl. 80, 1-28. doi: 10.1037/h0092976
58. Rubin, D. C., and Baddeley, A. D. (1989). Telescoping is not time compression: a model. Mem. Cogn. 17, 653-661. doi: 10.3758/BF03202626
59. Ruscheweyh, R., Deppe, M., Lohmann, H., Wersching, H., Korsukewitz, C., Duning, T., et al. (2013). Executive performance is related to regional gray matter volume in healthy older individuals. Hum. Brain Mapp. 34, 3333-3346. doi: 10.1002/hbm.22146
60. Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychol. Rev. 103, 403-428. doi: 10.1037/0033-295X.103.3.403
61. Salthouse, T. A. (2011). Neuroanatomical substrates of age-related cognitive decline. Psychol. Bull. 137, 753-784. doi: 10.1037/a0023262
62. Samanez-Larkin, G. R., and Knutson, B. (2015). Decision making in the ageing brain: changes in affective and motivational circuits. Nat. Rev. Neurosci. 16, 278-289. doi: 10.1038/nrn3917
63. Schaie, K. W. (2005). Developmental Influences on Intelligence: The Seattle Longitudinal Study. New York, NY: Oxford University Press.
64. Schalk, R., van Veldhoven, M., de Lange, A. H., De Witte, H., Kraus, K., Stamov-Roßnagel, C., et al. (2010). Moving European research on work and ageing forward: overview and agenda. Eur. J. Work Organ. Psychol. 19, 76-101. doi: 10.1080/13594320802674629
65. Schooler, C., Mulatu, M. S., and Oates, G. (1999). The continuing effects of substantively complex work on the intellectual functioning of older workers. Psychol. Aging 14, 483-506. doi: 10.1037/0882-7974.14.3.483
66. Schooler, C., Mulatu, M., and Oates, G. (2004). Occupational self-direction, intellectual functioning, and self-directed orientation in older workers: findings and implications for individuals and societies. Am. J. Soc. 110, 161-197. doi: 10.1086/385430
67. Seidler, R. D. (2010). Neural correlates of motor learning, transfer of learning, and learning to learn. Exerc. Sport Sci. Rev. 38, 3-9. doi: 10.1097/JES.0b013e3181c5cce7
68. Staudinger, U. M., Marsiske, M., and Baltes, P. B. (1995). "Resilience and reserve capacity in later adulthood: potentials and limits of development across the life span," in Developmental Psychopathology: Risk, Disorder, and Adaption, Vol. 2, eds D. Cicchetti and D. J. Cohen (Oxford: John Wiley & Sons), 801-847.
69. Suo, C., León, I., Brodaty, H., Trollor, J., Wen, W., Sachdev, P., et al. (2012). Supervisory experience at work is linked to low rate of hippocampal atrophy in late life. Neuroimage 63, 1542-1551. doi: 10.1016/j.neuroimage.2012.08.015
70. Taki, Y., Thyreau, B., Kinomura, S., Sato, K., Goto, R., Wu, K., et al. (2013). A longitudinal study of age-and gender-related annual rate of volume changes in regional gray matter in healthy adults. Hum. Brain Mapp. 34, 2292-2301. doi: 10.1002/hbm.22067
71. Thomas, C., and Baker, C. I. (2013). Teaching an adult brain new tricks: a critical review of evidence for training-dependent structural plasticity in humans. Neuroimage 73, 225-236. doi: 10.1016/j.neuroimage.2012.03.069
72. Tournier, I., Mathey, S., and Postal, V. (2012). The association between routinization and cognitive resources in later life. Int. J. Aging Hum. Dev. 74, 143-161. doi: 10.2190/AG.74.2.c
73. Valenzuela, M. J., and Sachdev, P. (2007). Assessment of complex mental activity across the lifespan: development of the lifetime of experiences questionnaire (LEQ). Psychol. Med. 37, 1015-1025. doi: 10.1017/S003329170600938X
74. Valenzuela, M. J., Sachdev, P., Wen, W., Chen, X., and Brodaty, H. (2008). Lifespan mental activity predicts diminished rate of hippocampal atrophy. PLoS ONE 3:e2598. doi: 10.1371/journal.pone.0002598
75. Voelcker-Rehage, C., Godde, B., and Staudinger, U. M. (2011). Cardiovascular and coordination training differentially improve cognitive performance and neural processing in older adults. Front. Hum. Neurosci. 5:26. doi: 10.3389/fnhum.2011.00026
76. Voelcker-Rehage, C., and Niemann, C. (2013). Structural and functional brain changes related to different types of physical activity across the life span. Neurosci. Biobehav. Rev. 37, 2268-2295. doi: 10.1016/j.neubiorev.2013.01.028
77. von Stumm, S., and Ackerman, P. L. (2013). Investment and intellect: a review and meta-analysis. Psychol. Bull. 139, 841-869. doi: 10.1037/a0030746
78. Walhovd, K. B., Westlye, L. T., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., et al. (2011). Consistent neuroanatomical age-related volume differences across multiple samples. Neurobiol. Aging 32, 916-932. doi: 10.1016/j.neurobiolaging.2009.05.013
79. Wolfe, J. M. (2007). "Guided Search 4.0: current Progress with a model of visual search," in Integrated Models of Cognitive Systems, ed. W. Gray (New York, NY: Oxford University Press), 99-119.
80. Zakzanis, K. K., Mraz, R., and Graham, S. J. (2005). An fMRI study of the trail making test. Neuropsychologia 43, 1878-1886. doi: 10.1016/j.neuropsychologia.2005.03.013