The impact of leisure activities on older adults’ cognitive function, physical function, and mental health

English version

Autoři: Giovanni Sala ^aff001; Daniela Jopp ^aff002; Fernand Gobet ^aff003; Madoka Ogawa ^aff004; Yoshiko Ishioka ^aff005; Yukie Masui ^aff004; Hiroki Inagaki ^aff004; Takeshi Nakagawa ^aff006; Saori Yasumoto ^aff007; Tatsuro Ishizaki ^aff004; Yasumichi Arai ^aff008; Kazunori Ikebe ^aff009; Kei Kamide ^aff010; Yasuyuki Gondo ^aff007
Působiště autorů: Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Japan ^aff001; Institute of Psychology, University of Lausanne, Lausanne, Switzerland ^aff002; Centre for Philosophy of Natural and Social Science, London School of Economics and Political Science, London, United Kingdom ^aff003; Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan ^aff004; Graduate School of Science and Technology, Keio University, Yokohama, Japan ^aff005; National Center for Geriatrics and Gerontology, Aichi, Japan ^aff006; Graduate School of Human Sciences, University of Osaka, Osaka, Japan ^aff007; Center for Supercentenarian Medical Research, Keio University, Tokyo, Japan ^aff008; Graduate School of Dentistry, Osaka University, Osaka, Japan ^aff009; Graduate School of Medicine, Osaka University, Osaka, Japan ^aff010
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0225006

Souhrn

Engagement in leisure activities has been claimed to be highly beneficial in the elderly. Practicing such activities is supposed to help older adults to preserve cognitive function, physical function, and mental health, and thus to contribute to successful aging. We used structural equation modeling (SEM) to analyze the impact of leisure activities on these constructs in a large sample of Japanese older adults (N = 809; age range 72–74). The model exhibited an excellent fit (CFI = 1); engaging in leisure activities was positively associated with all the three successful aging indicators. These findings corroborate previous research carried out in Western countries and extend its validity to the population of Eastern older adults. Albeit correlational in nature, these results suggest that active engagement in leisure activities can help older adults to maintain cognitive, physical, and mental health. Future research will clarify whether there is a causal relationship between engagement in leisure activities and successful aging.

Klíčová slova:

Mental health and psychiatry – Cognition – Geriatrics – Aging – Elderly – Questionnaires – Psychometrics – Music cognition

Zdroje

1. Pressman SD, Matthews KA, Cohen S, Martire LM, Scheier M, Baum A, et al. Association of enjoyable leisure activities with psychological and physical well-being. Psychosom Med. 2009;71: 725–732. doi: 10.1097/PSY.0b013e3181ad7978 19592515

2. Gow AJ, Pattie A, Deary IJ. Lifecourse activity participation from early, mid, and later adulthood as determinants of cognitive aging: The lothian birth cohort 1921. Journals Gerontol—Ser B Psychol Sci Soc Sci. 2017;72: 25–37. doi: 10.1093/geronb/gbw124 27974473

3. Jopp D, Hertzog C. Activities, self-referent memory beliefs, and cognitive performance: Evidence for direct and mediated relations. Psychol Aging. 2007;22: 811–825. doi: 10.1037/0882-7974.22.4.811 18179299

4. Karp A, Paillard-Borg S, Wang HX, Silverstein M, Winblad B, Fratiglioni L. Mental, physical and social components in leisure activities equally contribute to decrease dementia risk. Dement Geriatr Cogn Disord. 2006;21: 65–73. doi: 10.1159/000089919 16319455

5. Yates LA, Ziser S, Spector A, Orrell M. Cognitive leisure activities and future risk of cognitive impairment and dementia: Systematic review and meta-analysis. Int Psychogeriatrics. 2016;28: 1791–1806. doi: 10.1017/S1041610216001137 27502691

6. Strobach T, Karbach J. Cognitive training: An overview of features and applications. New York: Springer; 2016. doi: 10.1007/978-3-319-42662-4

7. Melby-Lervåg M, Redick TS, Hulme C. Working memory training does not improve performance on measures of intelligence or other measures of “far transfer”: Evidence from a meta-analytic review. Perspect Psychol Sci. 2016;11: 512–534. doi: 10.1177/1745691616635612 27474138

8. Sala G, Aksayli ND, Tatlidil KS, Tatsumi T, Gondo Y, Gobet F. Near and far transfer in cognitive training: A second-order meta-analysis. Collabra Psychol. 2019;5: 18. doi: 10.1525/collabra.203

9. Simons DJ, Boot WR, Charness N, Gathercole SE, Chabris CF, Hambrick DZ, et al. Do “Brain-Training” programs work? Psychol Sci Public Interes. 2016;17: 103–186. doi: 10.1177/1529100616661983 27697851

10. Burgoyne AP, Sala G, Gobet F, Macnamara BN, Campitelli G, Hambrick DZ. The relationship between cognitive ability and chess skill: A comprehensive meta-analysis. Intelligence. 2016;59: 72–83. doi: 10.1016/j.intell.2016.08.002

11. Sala G, Burgoyne AP, Macnamara BN, Hambrick DZ, Campitelli G, Gobet F. Checking the “Academic Selection” argument. Chess players outperform non-chess players in cognitive skills related to intelligence: A meta-analysis. Intelligence. 2017;61: 130–139. doi: 10.1016/j.intell.2017.01.013

12. Kramer AF, Bherer L, Colcombe SJ, Dong W, Greenough WT. Environmental influences on cognitive and brain plasticity during aging. Journals Gerontol Ser A Biol Sci Med Sci. 2004;59: M940–M957. doi: 10.1093/gerona/59.9.m940 15472160

13. Salthouse TA. Mental exercise and mental aging: Evaluating the validity of the “Use It or Lose It” hypothesis. Perspect Psychol Sci. 2006;1: 68–87. doi: 10.1111/j.1745-6916.2006.00005.x 26151186

14. Ghisletta P, Bickel JF, Lövdén M. Does activity engagement protect against cognitive decline in old age? Methodological and analytical considerations. Journals Gerontol—Ser B Psychol Sci Soc Sci. 2006;61: P253–P261. doi: 10.1093/geronb/61.5.P253 16960228

15. Lövdén M, Ghisletta P, Lindenberger U. Social participation attenuates decline in perceptual speed in old and very old age. Psychol Aging. 2005;20: 423–434. doi: 10.1037/0882-7974.20.3.423 16248702

16. Fuertes E, Carsin AE, Antó JM, Bono R, Corsico AG, Demoly P, et al. Leisure-time vigorous physical activity is associated with better lung function: The prospective ECRHS study. Thorax. 2018;73: 376–384. doi: 10.1136/thoraxjnl-2017-210947 29306902

17. Paggi ME, Jopp D, Hertzog C. The importance of leisure activities in the relationship between physical health and well-being in a life span sample. Gerontology. 2016;62: 450–458. doi: 10.1159/000444415 26974682

18. Colcombe S, Kramer AF. Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychol Sci. 2003;14: 125–130. doi: 10.1111/1467-9280.t01-1-01430 12661673

19. Menec VH. The relation between everyday activities and successful aging: A 6-year longitudinal study. Journals Gerontol—Ser B Psychol Sci Soc Sci. 2003;58B: S74–S82. doi: 10.1093/geronb/58.2.S74 12646596

20. Stern C, Konno R. Cognitive leisure activities and their role in preventing dementia: A systematic review. Int J Evid Based Healthc. 2010;8: 2–17. doi: 10.1111/j.1744-1609.2010.00150.x 20923507

21. Rowe JW, Kahn RL. Human aging: usual and successful. (physiological changes associated with aging). Science (80-). 1987;237: 143–149. doi: 10.1126/science.3299702 3299702

22. Havighurst R, Neugarten B, Tobin S. Disengagement and patterns of aging. In: Neugarten B, editor. Middle Age and Aging. Chicago: University of Chicago Press; 1968. pp. 161–172.

23. Chao SF. Changes in leisure activities and dimensions of depressive symptoms in later life: A 12-year follow-up. Gerontologist. 2016;56: 397–407. doi: 10.1093/geront/gnu052 24986219

24. Jopp DS, Wozniak D, Damarin AK, De Feo M, Jung S, Jeswani S. How could lay perspectives on successful aging complement scientific theory? Findings from a U.S. and a German life-span sample. Gerontologist. 2015;55. doi: 10.1093/geront/gnu059 24958719

25. Pruchno RA, Wilson-genderson M, Cartwright F. A two-factor model of successful aging. J Gerontol Psychol Sci. 2010;65: 671–679. doi: 10.1093/geronb/gbq051 20624759

26. Hsu HC, Jones BL. Multiple trajectories of successful aging of older and younger cohorts. Gerontologist. 2012;52: 843–856. doi: 10.1093/geront/gns005 22403165

27. Iwasa H, Yoshida Y, Kai I, Suzuki T, Kim H, Yoshida H. Leisure activities and cognitive function in elderly community-dwelling individuals in Japan: A 5-year prospective cohort study. J Psychosom Res. 2012;72: 159–164. doi: 10.1016/j.jpsychores.2011.10.002 22281459

28. Dodge HH, Kita Y, Takechi H, Hayakawa T, Ganguli M, Ueshima H. Healthy cognitive aging and leisure activities among the oldest old in Japan: Takashima study. Journals Gerontol—Ser A Biol Sci Med Sci. 2008;63: 1193–1200. doi: 10.1093/gerona/63.11.1193 19038834

29. Best JR, Nagamatsu LS, Liu-Ambrose T. Improvements to executive function during exercise training predict maintenance of physical activity over the following year. Front Hum Neurosci. 2014;8: 353. doi: 10.3389/fnhum.2014.00353 24904387

30. Daly M, McMinn D, Allan JL. A bidirectional relationship between physical activity and executive function in older adults. Front Hum Neurosci. 2015;8: 1044. doi: 10.3389/fnhum.2014.01044 25628552

31. Kobayashi-Cuya KE, Sakurai R, Suzuki H, Ogawa S, Takebayashi T, Fujiwara Y. Observational evidence of the association between handgrip strength, hand dexterity, and cognitive performance in community-dwelling older adults: A systematic review. J Epidemiol. 2018;28: 373–381. doi: 10.2188/jea.JE20170041 29526916

32. Gondo Y, Masui Y, Kamide K, Ikebe K, Arai Y, Ishizaki T. SONIC Study: A Longitudinal Cohort Study of the Older People as Part of a Centenarian Study. Encyclopedia of Geropsychology. Singapore: Springer Singapore; 2016. pp. 1–10. doi: 10.1007/978-981-287-080-3_182–1

33. Jopp DS, Hertzog C. Assessing adult leisure activities: An extension of a self-report activity questionnaire. Psychol Assess. 2010;22: 108–120. doi: 10.1037/a0017662 20230157

34. Rizopoulos D. ltm: An R Package for Latent Variable Modeling. Journal of Statistical Software. 2006.

35. Suzuki H, Kawai H, Hirano H, Yoshida H, Ihara K, Kim H, et al. One-year change in the Japanese version of the Montreal Cognitive Assessment performance and related predictors in community-dwelling older adults. J Am Geriatr Soc. 2015;63: 1874–1879. doi: 10.1111/jgs.13595 26313522

36. Lachman ME, Agrigoroaei S, Tun PA, Weaver SL. Monitoring cognitive functioning: psychometric properties of the brief test of adult cognition by telephone. Assessment. 2014;21: 404–417. doi: 10.1177/1073191113508807 24322011

37. Rosen WG, Mohs RC, Davis KL. A new rating scale for Alzheimer’s disease. Am J Psychiatry. 1984;141: 1356–1364. doi: 10.1176/ajp.141.11.1356 6496779

38. Puthoff ML. Outcome measures in cardiopulmonary physical therapy: Short physical performance battery. Cardiopulm Phys Ther J. 2008;19: 17–22. 20467494

39. Kobayashi K, Hiiragi Y, Maruyama H. Development of the “10-second Open-Close Stepping Test” (OCS-10) and fundamental study of its measurement values through a comparison of healthy young people and community-dwelling elderly. J Phys Ther Sci. 2012;24: 747–749. doi: 10.1589/jpts.24.747

40. Awata S, Bech P, Koizumi Y, Seki T, Kuriyama S, Hozawa A, et al. Validity and utility of the Japanese version of the WHO-Five Well-Being Index in the context of detecting suicidal ideation in elderly community residents. Int Psychogeriatrics. 2007;19: 77–88. doi: 10.1017/S1041610206004212 16970832

41. Nakahara J. Deliberation on factor structure on affective well-being scale and the development of its short version. Japanese J Gerontol. 2011;4: 434–442.

42. Diener E, Emmons RA, Larsen RJ, Griffin S. The Satisfaction With Life Scale. J Pers Assess. 1985;49: 71–75. doi: 10.1207/s15327752jpa4901_13 16367493

43. Kline., Kline R. RB (2015). P and practice of structural equation modeling. G publications. B. Principles and practice of structural equation modeling. 4th ed. Guilford publications. New York: The Guildford Press; 2015.

44. Peterson R. Estimating normalization transformations with bestNormalize. 2017.

45. Hoaglin DC, Iglewicz B. Fine-tuning some resistant rules for outlier labeling. J Am Stat Assoc. 1987;82: 1147–1149. doi: 10.1080/01621459.1987.10478551

46. Terrence J, Pornprasertmanit S, Alexander S, Rosseel Y. semTools: Useful tools for structural equation modeling. R package version 0.5–1. 2018.

47. Rosseel Y. lavaan: An R Package for Structural Equation Modeling. J Stat Softw. 2015;48: 1–36. doi: 10.18637/jss.v048.i02

48. Hultsch DF, Hertzog C, Small BJ, Dixon RA. Use it or lose it: Engaged lifestyle as a buffer of cognitive decline in aging? Psychol Aging. 1999;14: 245–263. doi: 10.1037//0882-7974.14.2.245 10403712

49. Kempermann G, Fabel K, Ehninger D, Babu H, Leal-Galicia P, Garthe A, et al. Why and how physical activity promotes experience-induced brain plasticity. Front Neurosci. 2010;4. doi: 10.3389/fnins.2010.00189 21151782

50. Tsaousis I, Nikolaou I, Serdaris N, Judge TA. Do the core self-evaluations moderate the relationship between subjective well-being and physical and psychological health? Pers Individ Dif. 2007;42: 1441–1452. doi: 10.1016/j.paid.2006.10.025

51. Andersen LB, Schnohr P, Schroll M, Hein HO. All-Cause mortality associated with physical activity during leisure time, work, sports, and cycling to work. Arch Intern Med. 2000;160: 1621–1628. doi: 10.1001/archinte.160.11.1621 10847255

The impact of leisure activities on older adults’ cognitive function, physical function, and mental health

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