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Sports Medicine
Published in: Sports Medicine 2/2020

Open Access 01-02-2020 | Dementia | Original Research Article

The Association of Sedentary Behaviour and Cognitive Function in People Without Dementia: A Coordinated Analysis Across Five Cohort Studies from COSMIC

Authors: Carlijn M. Maasakkers, Jurgen A. H. R. Claassen, Paul A. Gardiner, Marcel G. M. Olde Rikkert, Darren M. Lipnicki, Nikolaos Scarmeas, Efthimios Dardiotis, Mary Yannakoulia, Kaarin J. Anstey, Nicolas Cherbuin, Mary N. Haan, Shuzo Kumagai, Kenji Narazaki, Tao Chen, Tze Pin Ng, Qi Gao, Ma S. Z. Nyunt, John D. Crawford, Nicole A. Kochan, Steve R. Makkar, Perminder S. Sachdev, Dick H. J. Thijssen, René J. F. Melis, COSMIC Collaborators

Published in: Sports Medicine | Issue 2/2020

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Abstract

Background

Besides physical activity as a target for dementia prevention, sedentary behaviour is hypothesized to be a potential target in its own right. The rising number of persons with dementia and lack of any effective treatment highlight the urgency to better understand these modifiable risk factors. Therefore, we aimed to investigate whether higher levels of sedentary behaviour are associated with reduced global cognitive functioning and slower cognitive decline in older persons without dementia.

Methods

We used five population cohorts from Greece, Australia, USA, Japan, and Singapore (HELIAD, PATH, SALSA, SGS, and SLAS2) from the Cohort Studies of Memory in an International Consortium. In a coordinated analysis, we assessed the relationship between sedentary behaviour and global cognitive function with the use of linear mixed growth model analysis (mean follow-up range of 2.0–8.1 years).

Results

Baseline datasets combined 10,450 older adults without dementia with a mean age range between cohorts of 66.7–75.1 years. After adjusting for multiple covariates, no cross-sectional association between sedentary behaviour and cognition was found in four studies. One association was detected where more sedentary behaviour was cross-sectionally linked to higher cognition levels (SLAS2, B = 0.118 (0.075; 0.160), P < 0.001). Longitudinally, there were no associations between baseline sedentary behaviour and cognitive decline (P > 0.05).

Conclusions

Overall, these results do not suggest an association between total sedentary time and lower global cognition in older persons without dementia at baseline or over time. We hypothesize that specific types of sedentary behaviour may differentially influence cognition which should be investigated further. For now, it is, however, too early to establish undifferentiated sedentary time as a potential effective target for minimizing cognitive decline in older adults without dementia.
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Literature
1.
ADI. World Alzheimer Report 2015. London; 2015.
2.
Norton S, Matthews FE, Barnes DE, Yaffe K, Brayne C. Potential for primary prevention of Alzheimer’s disease: an analysis of population-based data. Lancet Neurol. 2014;13(8):788–94.CrossRefPubMed
3.
de Bruijn RF, Bos MJ, Portegies ML, Hofman A, Franco OH, Koudstaal PJ, et al. The potential for prevention of dementia across two decades: the prospective, population-based Rotterdam Study. BMC Med. 2015;21(13):132.CrossRef
4.
Kramer AF, Erickson KI, Colcombe SJ. Exercise, cognition, and the aging brain. J Appl Physiol. 2006;101(4):1237–42.CrossRefPubMed
5.
Northey JM, Cherbuin N, Pumpa KL, Smee DJ, Rattray B. Exercise interventions for cognitive function in adults older than 50: a systematic review with meta-analysis. Br J Sports Med. 2018;52(3):154–60.CrossRefPubMed
6.
Gibbs BB, Hergenroeder AL, Katzmarzyk PT, Lee I-M, Jakicic JM. Definition, measurement, and health risks associated with sedentary behavior. Med Sci Sports Exerc. 2015;47(6):1295.CrossRefPubMedPubMedCentral
7.
Thyfault JP, Du M, Kraus WE, Levine JA, Booth FW. Physiology of sedentary behavior and its relationship to health outcomes. Med Sci Sports Exerc. 2015;47(6):1301.CrossRefPubMedPubMedCentral
8.
Carter S, Hartman Y, Holder S, Thijssen DH, Hopkins ND. Sedentary behavior and cardiovascular disease risk: mediating mechanisms. Exerc Sport Sci Rev. 2017;45(2):80–6.CrossRefPubMed
9.
Wheeler MJ, Dempsey PC, Grace MS, Ellis KA, Gardiner PA, Green DJ, et al. Sedentary behavior as a risk factor for cognitive decline? A focus on the influence of glycemic control in brain health. Alzheimers Dement. 2017;3(3):291–300.
10.
Healy GN, Matthews CE, Dunstan DW, Winkler EAH, Owen N. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06. Eur Heart J. 2011;32(5):590–7.CrossRefPubMedPubMedCentral
11.
Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol. 2008;167(7):875–81.CrossRefPubMed
12.
Kohl HW, Craig CL, Lambert EV, Inoue S, Alkandari JR, Leetongin G, et al. The pandemic of physical inactivity: global action for public health. Lancet. 2012;380(9838):294–305.CrossRefPubMed
13.
Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380(9838):219–29.CrossRefPubMedPubMedCentral
14.
Owen N, Sparling PB, Healy GN, Dunstan DW, Matthews CE. Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc. Amsterdam: Elsevier; 2010. p. 1138–41.
15.
Stamatakis E, Hamer M, Tilling K, Lawlor DA. Sedentary time in relation to cardio-metabolic risk factors: differential associations for self-report vs accelerometry in working age adults. Int J Epidemiol. 2012;41(5):1328–37.CrossRefPubMed
16.
Henson J, Yates T, Biddle SJ, Edwardson CL, Khunti K, Wilmot EG, et al. Associations of objectively measured sedentary behaviour and physical activity with markers of cardiometabolic health. Diabetologia. 2013;56(5):1012–20.CrossRefPubMed
17.
Huynh QL, Blizzard CL, Sharman JE, Magnussen CG, Dwyer T, Venn AJ. The cross-sectional association of sitting time with carotid artery stiffness in young adults. BMJ Open. 2014;4(3):e004384.CrossRefPubMedPubMedCentral
18.
Parsons TJ, Sartini C, Ellins EA, Halcox JP, Smith KE, Ash S, et al. Objectively measured physical activity and sedentary behaviour and ankle brachial index: Cross-sectional and longitudinal associations in older men. Atherosclerosis. 2016;247:28–34.CrossRefPubMedPubMedCentral
19.
20.
Beunza JJ, Martinez-Gonzalez MA, Ebrahim S, Bes-Rastrollo M, Nunez J, Martinez JA, et al. Sedentary behaviors and the risk of incident hypertension: the SUN Cohort. Am J Hypertens. 2007;20(11):1156–62.PubMed
21.
Voss MW, Carr LJ, Clark R, Weng T. Revenge of the “sit” II: Does lifestyle impact neuronal and cognitive health through distinct mechanisms associated with sedentary behavior and physical activity? Ment Health Phys Act. 2014;7(1):9–24.CrossRef
22.
Wheeler MJ, Dunstan DW, Smith B, Smith KJ, Scheer A, Lewis J, et al. Morning exercise mitigates the impact of prolonged sitting on cerebral blood flow in older adults. J Appl Physiol. 2019;126:1049–55.CrossRefPubMedPubMedCentral
23.
Wennberg P, Boraxbekk C-J, Wheeler M, Howard B, Dempsey PC, Lambert G, et al. Acute effects of breaking up prolonged sitting on fatigue and cognition: a pilot study. BMJ Open. 2016;6(2):e009630.CrossRefPubMedPubMedCentral
24.
Vincent GE, Jay SM, Sargent C, Kovac K, Vandelanotte C, Ridgers ND, et al. The impact of breaking up prolonged sitting on glucose metabolism and cognitive function when sleep is restricted. Neurobiol Sleep Circadian Rhythms. 2017;4:17–23.CrossRefPubMedPubMedCentral
25.
Mullane SL, Buman MP, Zeigler ZS, Crespo NC, Gaesser GA. Acute effects on cognitive performance following bouts of standing and light-intensity physical activity in a simulated workplace environment. J Sci Med Sport. 2017;20(5):489–93.CrossRefPubMed
26.
Falck RS, Davis JC, Liu-Ambrose T. What is the association between sedentary behaviour and cognitive function? A systematic review. Br J Sports Med. 2017;51(10):800–11.CrossRefPubMed
27.
Sachdev PS, Lipnicki DM, Kochan NA, Crawford JD, Rockwood K, Xiao S, et al. COSMIC (Cohort Studies of Memory in an International Consortium): an international consortium to identify risk and protective factors and biomarkers of cognitive ageing and dementia in diverse ethnic and sociocultural groups. BMC Neurol. 2013;13(1):165.CrossRefPubMedPubMedCentral
28.
Ruitenberg A, den Heijer T, Bakker SL, van Swieten JC, Koudstaal PJ, Hofman A, et al. Cerebral hypoperfusion and clinical onset of dementia: the Rotterdam Study. Ann Neurol. 2005;57(6):789–94.CrossRefPubMed
29.
Van den Kommer T, Comijs H, Dik M, Jonker C, Deeg D. Development of classification models for early identification of persons at risk for persistent cognitive decline. J Neurol. 2008;255(10):1486.CrossRefPubMed
30.
Dardiotis E, Kosmidis MH, Yannakoulia M, Hadjigeorgiou GM, Scarmeas N. The Hellenic Longitudinal Investigation of Aging and Diet (HELIAD): rationale, study design, and cohort description. Neuroepidemiology. 2014;43(1):9–14.CrossRefPubMed
31.
Anstey KJ, Christensen H, Butterworth P, Easteal S, Mackinnon A, Jacomb T, et al. Cohort profile: the PATH through life project. Int J Epidemiol. 2011;41(4):951–60.CrossRefPubMed
32.
Haan MN, Mungas DM, Gonzalez HM, Ortiz TA, Acharya A, Jagust WJ. Prevalence of dementia in older Latinos: the influence of type 2 diabetes mellitus, stroke and genetic factors. J Am Geriatr Soc. 2003;51(2):169–77.CrossRefPubMed
33.
Narazaki K, Nofuji Y, Honda T, Matsuo E, Yonemoto K, Kumagai S. Normative data for the Montreal Cognitive Assessment in a Japanese community-dwelling older population. Neuroepidemiology. 2013;40(1):23–9.CrossRefPubMed
34.
Ng TP, Camous X, Nyunt MSZ, Vasudev A, Tan CTY, Feng L, et al. Markers of T-cell senescence and physical frailty: insights from Singapore Longitudinal Ageing Studies. NPJ Aging Mech Dis. 2015;1:15005.CrossRefPubMedPubMedCentral
35.
Chen T, Narazaki K, Honda T, Chen S, Haeuchi Y, Nofuji YY, et al. Tri-axial accelerometer-determined daily physical activity and sedentary behavior of suburban community-dwelling older Japanese adults. J Sports Sci Med. 2015;14(3):507.PubMedPubMedCentral
36.
Kavouras S, Maraki M, Kollia M, Gioxari A, Jansen L, Sidossis L. Development, reliability and validity of a physical activity questionnaire for estimating energy expenditure in Greek adults. Sci Sports. 2016;31(3):e47–53.CrossRef
37.
Shih I-F, Paul K, Haan M, Yu Y, Ritz B. Physical activity modifies the influence of apolipoprotein E ε4 allele and type 2 diabetes on dementia and cognitive impairment among older Mexican Americans. Alzheimers Dement. 2018;14(1):1–9.CrossRefPubMed
38.
Teng E, Chui H. The modified mini-mental state examination (3MS). Can J Psychiatry. 1987;41(2):114–21.
39.
Hofer SM, Piccinin AM. Integrative data analysis through coordination of measurement and analysis protocol across independent longitudinal studies. Psychol Methods. 2009;14(2):150.CrossRefPubMedPubMedCentral
40.
Talarico R, Janssen I. Compositional associations of time spent in sleep, sedentary behavior and physical activity with obesity measures in children. Int J Obes. 2018;42:1508–14.CrossRef
41.
Crum RM, Anthony JC, Bassett SS, Folstein MF. Population-based norms for the Mini-Mental State Examination by age and educational level. JAMA. 1993;269(18):2386–91.CrossRefPubMed
42.
Nebes RD, Butters M, Mulsant B, Pollock B, Zmuda M, Houck P, et al. Decreased working memory and processing speed mediate cognitive impairment in geriatric depression. Psychol Med. 2000;30(3):679–91.CrossRefPubMed
43.
Rosenberg DE, Norman GJ, Wagner N, Patrick K, Calfas KJ, Sallis JF. Reliability and validity of the Sedentary Behavior Questionnaire (SBQ) for adults. J Phys Act Health. 2010;7(6):697–705.CrossRefPubMed
44.
Young DR, Hivert M-F, Alhassan S, Camhi SM, Ferguson JF, Katzmarzyk PT, et al. Sedentary behavior and cardiovascular morbidity and mortality: a science advisory from the American Heart Association. Circulation. 2016;134:e262–79.CrossRefPubMed
45.
Peng RD, Dominici F, Zeger SL. Reproducible epidemiologic research. Am J Epidemiol. 2006;163(9):783–9.CrossRefPubMed
46.
Vancampfort D, Stubbs B, Lara E, Vandenbulcke M, Swinnen N, Smith L, et al. Mild cognitive impairment and sedentary behavior: a multinational study. Exp Gerontol. 2018;108:174–80.CrossRefPubMed
47.
Kesse-Guyot E, Andreeva VA, Lassale C, Hercberg S, Galan P. Clustering of midlife lifestyle behaviors and subsequent cognitive function: a longitudinal study. Am J Public Health. 2014;104(11):e170–7.CrossRefPubMedPubMedCentral
48.
Kesse-Guyot E, Charreire H, Andreeva VA, Touvier M, Hercberg S, Galan P, et al. Cross-sectional and longitudinal associations of different sedentary behaviors with cognitive performance in older adults. PLoS One. 2012;7(10):e47831.CrossRefPubMedPubMedCentral
49.
50.
Gur RC, Gur RE, Obrist WD, Hungerbuhler JP, Younkin D, Rosen AD, et al. Sex and handedness differences in cerebral blood flow during rest and cognitive activity. Science. 1982;217(4560):659–61.CrossRefPubMed
51.
Villringer A, Planck J, Hock C, Schleinkofer L, Dirnagl U. Near infrared spectroscopy (NIRS): a new tool to study hemodynamic changes during activation of brain function in human adults. Neurosci Lett. 1993;154(1):101–4.CrossRefPubMed
52.
Thosar SS, Bielko SL, Mather KJ, Johnston JD, Wallace JP. Effect of prolonged sitting and breaks in sitting time on endothelial function. Med Sci Sports Exerc. 2015;47(4):843–9.CrossRefPubMed
53.
Lyden K, Kozey Keadle SL, Staudenmayer JW, Freedson PS. Validity of two wearable monitors to estimate breaks from sedentary time. Med Sci Sports Exerc. 2012;44(11):2243–52.CrossRefPubMedPubMedCentral
54.
Healy GN, Clark BK, Winkler EA, Gardiner PA, Brown WJ, Matthews CE. Measurement of adults’ sedentary time in population-based studies. Am J Prev Med. 2011;41(2):216–27.CrossRefPubMedPubMedCentral
55.
Stamatakis E, Ekelund U, Ding D, Hamer M, Bauman AE, Lee I-M. Is the time right for quantitative public health guidelines on sitting? A narrative review of sedentary behaviour research paradigms and findings. Br J Sports Med. 2019;53:377–82.CrossRefPubMed
56.
Clemes SA, David BM, Zhao Y, Han X, Brown W. Validity of two self-report measures of sitting time. J Phys Act Health. 2012;9(4):533–9.CrossRefPubMed
57.
Herbolsheimer F, Riepe MW, Peter R. Cognitive function and the agreement between self-reported and accelerometer-accessed physical activity. BMC Geriatr. 2018;18(1):56.CrossRefPubMedPubMedCentral
58.
Mazzoni M, Ferroni L, Lombardi L, Del Torto E, Vista M, Moretti P. Mini-Mental State Examination (MMSE): sensitivity in an Italian sample of patients with dementia. Ital J Neurol Sci. 1992;13(4):323–9.CrossRefPubMed
59.
Franco-Marina F, García-González JJ, Wagner-Echeagaray F, Gallo J, Ugalde O, Sánchez-García S, et al. The Mini-mental State Examination revisited: ceiling and floor effects after score adjustment for educational level in an aging Mexican population. Int Psychogeriatr. 2010;22(1):72–81.CrossRefPubMed
60.
Bherer L, Erickson KI, Liu-Ambrose T. A review of the effects of physical activity and exercise on cognitive and brain functions in older adults. J Aging Res. 2013;2013:657508.PubMedPubMedCentral
61.
Pardee PE, Norman GJ, Lustig RH, Preud’homme D, Schwimmer JB. Television viewing and hypertension in obese children. Am J Prev Med. 2007;33(6):439–43.CrossRefPubMed
62.
Williams DM, Raynor HA, Ciccolo JT. A review of TV viewing and its association with health outcomes in adults. Am J Lifestyle Med. 2008;2(3):250–9.CrossRef
63.
Stamatakis E, Gale J, Bauman A, Ekelund U, Hamer M, Ding D. Sitting time, physical activity, and risk of mortality in adults. J Am Coll Cardiol. 2019;73(16):2062–72.CrossRefPubMed
64.
65.
Touvier M, Bertrais S, Charreire H, Vergnaud A-C, Hercberg S, Oppert J-M. Changes in leisure-time physical activity and sedentary behaviour at retirement: a prospective study in middle-aged French subjects. Int J Behav Nutr Phys Act. 2010;7(1):14.CrossRefPubMedPubMedCentral
Metadata
Title
The Association of Sedentary Behaviour and Cognitive Function in People Without Dementia: A Coordinated Analysis Across Five Cohort Studies from COSMIC
Authors
Carlijn M. Maasakkers
Jurgen A. H. R. Claassen
Paul A. Gardiner
Marcel G. M. Olde Rikkert
Darren M. Lipnicki
Nikolaos Scarmeas
Efthimios Dardiotis
Mary Yannakoulia
Kaarin J. Anstey
Nicolas Cherbuin
Mary N. Haan
Shuzo Kumagai
Kenji Narazaki
Tao Chen
Tze Pin Ng
Qi Gao
Ma S. Z. Nyunt
John D. Crawford
Nicole A. Kochan
Steve R. Makkar
Perminder S. Sachdev
Dick H. J. Thijssen
René J. F. Melis
COSMIC Collaborators
Publication date
01-02-2020
Publisher
Springer International Publishing
Keywords
Dementia
Dementia
Published in
Sports Medicine / Issue 2/2020
Print ISSN: 0112-1642
Electronic ISSN: 1179-2035
DOI
https://doi.org/10.1007/s40279-019-01186-7

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