Hostname: page-component-8448b6f56d-c47g7 Total loading time: 0 Render date: 2024-04-24T09:27:47.161Z Has data issue: false hasContentIssue false
  • English
  • Français

Association between physical activity and functional and cognitive status in nonagenarians: results from the Mugello study

Published online by Cambridge University Press:  18 December 2018

Silvia Pancani ,
Federica Vannetti ,
Francesco Sofi ,
Francesca Cecchi ,
Guido Pasquini ,
Laura Fabbri ,
Irene Eleonora Mosca ,
Claudio Macchi  and
The Mugello Study Working Group
Silvia Pancani*
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
Federica Vannetti
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
Francesco Sofi
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
Francesca Cecchi
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
Guido Pasquini
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
Laura Fabbri
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
Irene Eleonora Mosca
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
Claudio Macchi
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
The Mugello Study Working Group
Affiliation:
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
*
Correspondence should be addressed to: Silvia Pancani, IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy. Email: spancani@dongnocchi.it.
Get access Rights & Permissions [Opens in a new window]

Abstract

This study aimed at assessing daily physical activity and its relationship with functional and cognitive status in nonagenarians. Cross-sectional study. 167 nonagenarians (124 women and 43 men, mean age 92 years ± 3) who participated in the Mugello study. Participants underwent daily step count through the SenseWear armband, which was considered as an indicator of physical activity. Other main variables were: handgrip strength, gait speed, depression, cognitive status and quality of life. The median value of steps per day was 883 and 658 in women and men, respectively, with a participant, in the women group, showing values up to 10,000. After adjusting for potential confounders, physical activity remained a significant positive correlate of handgrip strength (r = 0.4), gait speed (r = 0.8), and cognitive status (r = 0.6 and 0.8, respectively for raw scores and for scores adjusted for age and education). On the contrary, physical activity remained a significant negative correlate of depression (r = 0.5). Our results provide quantitative information on daily physical activity and show a significant relationship between daily physical activity and functional and cognitive status in nonagenarians.

Keywords

physical activitycognitive impairmenthealth agingaging
Type
Brief Report
Information
International Psychogeriatrics , Volume 31 , Issue 6: Issue Theme: Frailty, Cognition, and Mental Health , June 2019 , pp. 901 - 908
Copyright
© International Psychogeriatric Association 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Acree, L. S. et al. (2006). Physical activity is related to quality of life in older adults. Health and Quality of Life Outcomes, 6, 1–6. doi: 10.1186/1477-7525-4-37.Google Scholar
Bellettiere, J. et al. (2015). Gender and age differences in hourly and daily patterns of sedentary time in older adults living in retirement communities. PLoS ONE, 10, e0136161. doi: 10.1371/journal.pone.0136161.CrossRefGoogle ScholarPubMed
Bonaccorsi, G. et al. (2016). Risk of malnutrition in a sample of nonagenarians: specific versus classic bioelectrical impedance vector analysis. Nutrition, 32, 368–374. doi: 10.1016/j.nut.2015.09.011.CrossRefGoogle Scholar
Burnham, K. P. and Anderson, D. R. (2002). Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.). New York: Springer-Verlag.Google Scholar
Cesari, M. et al. (2005). Prognostic value of usual gait speed in well-functioning older people—results from the health, aging and body composition study. Journal of the American Geriatrics Society, 53, 1675–1680. doi: 10.1111/j.1532-5415.2005.53501.x.CrossRefGoogle ScholarPubMed
Chieffi, S. et al. (2017a). Exercise influence on Hippocampal function: possible involvement of Orexin-A. Frontiers in Physiology, 8, 1–8. doi: 10.3389/fphys.2017.00085.CrossRefGoogle ScholarPubMed
Chieffi, S. et al. (2017b). Neuroprotective effects of physical activity and risk of cognitive decline: evidence from human and animal studies. Frontiers in Neurology, 8, 188. doi: 10.3389/fneur.2017.00188.CrossRefGoogle ScholarPubMed
Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences. New York: Academic Press.Google Scholar
Engberg, H., Jeune, B., Andersen-Ranberg, K., Martinussen, T., Vaupel, J. W. and Christensen, K. (2013). Optimism and survival: does an optimistic outlook predict better survival at advanced ages? A twelve-year follow-up of Danish nonagenarians. Aging Clinical and Experimental Research, 25, 517–525. doi: 10.1007/s40520-013-0122-x.CrossRefGoogle Scholar
Folstein, M., Folstein, S. and McHugh, P. (1975). Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198. doi: 10.1016/0022-3956(75)90026-6.CrossRefGoogle Scholar
Franceschi, C. et al. (2008). The extreme longevity: the state of the art in Italy. Experimental Gerontology, 43, 45–52. doi: 10.1016/j.exger.2007.06.006.CrossRefGoogle ScholarPubMed
Harris, T., Owen, C., Victor, C., Adams, R. and Cook, D. (2009). What factors are associated with physical activity in older people, assessed objectively by accelerometry? British Journal of Sports Medicine, 43, 442–450. doi: 10.1136/bjsm.2008.048033.CrossRefGoogle ScholarPubMed
Hirvensalo, M., Rantanen, T. and Heikkinen, E. (2000). Mobility difficulties and physical activity as predictors of mortality and loss of independence in the community-living older population. Journal of the American Geriatrics Society, 48, 493–498. doi: 10.1111/j.1532-5415.2000.tb04994.x.CrossRefGoogle ScholarPubMed
Johannsen, D. et al. (2008). Physical activity in aging: comparison among young, aged, and nonagenarian individuals. Journal of Applied Physiology, 105, 495–501. doi: 10.1152/japplphysiol.90450.2008.CrossRefGoogle ScholarPubMed
Lacroix, A. Z., Guralnik, J. M., Berkman, L. F., Wallace, R. B. and Satterfield, S. (1993). Maintaining mobility in late life. II. Smoking, alcohol consumption, physical activity, and body mass index. American Journal of Epidemiology, 137, 858–869. doi: 10.1093/oxfordjournals.aje.a116747.CrossRefGoogle ScholarPubMed
Mänty, M., Thinggaard, M., Christensen, K. and Avlund, K. (2014). Musculoskeletal pain and physical functioning in the oldest old. European Journal of Pain, 18, 522–529. doi: 10.1002/j.1532-2149.2013.00386.x.CrossRefGoogle ScholarPubMed
Matthews, C. E. et al. (2008). Amount of time spent in sedentary behaviors in the United States, 2003-2004. American Journal of Epidemiology, 167, 875–881. doi: 10.1093/aje/kwm390.CrossRefGoogle ScholarPubMed
Miji, K., Hideyo, Y., Hiroyuki, S., Narumi, K. and Hunkyung, K. (2015). Association between objectively measured sleep quality and physical function among community-dwelling oldest old Japanese: a cross-sectional study. Geriatrics and Gerontology International, 15, 1040–1048. doi: 10.1111/ggi.12396.Google Scholar
Molino-Lova, R. et al. (2013). European journal of internal medicine the Mugello study, a survey of nonagenarians living in Tuscany: design, methods and participants’ general characteristics. European Journal of Internal Medicine, 24, 745–749. doi: 10.1016/j.ejim.2013.09.008.CrossRefGoogle ScholarPubMed
Nakakubo, S. et al. (2017). Impact of poor sleep quality and physical inactivity on cognitive function in community-dwelling older adults. Geriatrics & Gerontology International, 17, 1–6. doi: 10.1111/ggi.12973.CrossRefGoogle ScholarPubMed
O’Bryant, S. E. et al. (2008). Detecting dementia with the Mini-Mental State Examination (MMSE) in highly educated individuals. Archives of Neurology, 65, 963–967. doi: 10.1001/archneur.65.7.963.CrossRefGoogle Scholar
Rantanen, T. et al. (1999a). Disability, physical activity, and muscle strength in older women: the Women’s health and aging study. Archives of Physical Medicine and Rehabilitation, 80, 130–135. doi: 10.1016/S0003-9993(99)90109-0.CrossRefGoogle ScholarPubMed
Rantanen, T. et al. (1999b). Midlife hand grip strength as a predictor of old age disability. AMA: The Journal of The American Medical Association, 281, 558–560. doi: 10.1001/jama.281.6.558CrossRefGoogle ScholarPubMed
Rosenthal, R. (1991). Meta-Analytic Procedures for Social Research. Newbury Park, CA: Sage.CrossRefGoogle Scholar
Schnelle, J., Buchowski, M., Ikizler, T., Durkin, D., Beuscher, L. and Simmons, S. (2012). Evaluation of two fatigability severity measures in elderly adults. Journal of the American Geriatrics Society, 60, 1527–1533. doi: 10.1111/j.1532-5415.2012.04062.x.CrossRefGoogle ScholarPubMed
Sofi, F. et al. (2011). Physical activity and risk of cognitive decline: a meta-analysis of prospective studies. Journal of Internal Medicine, 269, 107–117. doi: 10.1111/j.1365-2796.2010.02281.x.CrossRefGoogle ScholarPubMed
Taekema, D., Gussekloo, J., Maier, A., Westendorp, R. and de Craen, A. (2010). Handgrip strength as a predictor of functional, psychological and social health. A prospective population-based study among the oldest old. Age and Ageing, 39, 331–337. doi: 10.1093/ageing/afq022.CrossRefGoogle Scholar
Tian, Q. et al. (2015). Objective measures of physical activity, white matter integrity and cognitive status in adults over age 80. Behavioural Brain Research, 284, 51–57. doi: 10.1016/j.bbr.2015.01.045.CrossRefGoogle ScholarPubMed
Ware, J. J., Kosinski, M. and Keller, S. D. (1996). A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Medical Care, 34, 220–233. doi: 10.1097/00005650-199603000-00003.CrossRefGoogle ScholarPubMed
Ware, J. J. and Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 30, 473–483. doi: 10.1097/00005650-199206000-00002.CrossRefGoogle ScholarPubMed
Washburn, R. A., Jette, A. M. and Janney, C. A. (1993). Using age-neutral physical activity questionnaires in research with the elderly. Journal of Aging and Health, 3, 341–356. doi: 10.1177/089826439000200304.Google Scholar
World Health Organization (2015). World Report on Ageing and Health. Geneva: World Health Organization.Google Scholar
Yesavage, J. A. et al. (1983). Development and validation of a geriatric depression screening scale: a preliminary report. Journal of Psychiatric Research, 17, 37–49. doi: 10.1016/0022-3956(82)90033-4.CrossRefGoogle Scholar