Associations of habitual sedentary time with executive functioning and short-term memory in 7th and 8th grade adolescents.
Adolescent
Cognition
Executive function
Sedentary behaviour
Short-term memory
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
16 Feb 2024
16 Feb 2024
Historique:
received:
19
10
2023
accepted:
06
02
2024
medline:
17
2
2024
pubmed:
17
2
2024
entrez:
16
2
2024
Statut:
epublish
Résumé
While there is increasing evidence for negative physical health consequences of high volumes of sedentary time and prolonged sedentary time in adolescents, the association with cognition is less clear. This study investigated the association of volumes of habitual sedentary time and prolonged sedentary time with executive functions and short-term memory in adolescents. This study has a cross-sectional observational study design. Volumes of sedentary time and prolonged sedentary time (accumulated sedentary time spent in bouts of ≥ 30 min) were measured using the Axivity AX3 accelerometer. Six cognitive functions (spatial and verbal short-term memory; and working memory, visuospatial working memory, response inhibition and planning as executive functions) were measured using six validated cognitive assessments. Data were analysed using generalised linear models. Data of 119 adolescents were analysed (49% boys, 13.4 ± 0.6 year). No evidence for an association of volumes of sedentary time and prolonged sedentary time with spatial and verbal short-term memory, working memory, and visuospatial working memory was found. Volumes of sedentary time and prolonged sedentary time were significantly related to planning. One hour more sedentary time or prolonged sedentary time per day was associated with respectively on average 17.7% (95% C.I.: 3.5-29.7%) and 12.1% (95% C.I.: 3.9-19.6%) lower scores on the planning task. No evidence was found for an association of volumes of habitual sedentary time and prolonged sedentary time with short-term memory and executive functions, except for planning. Furthermore, the context of sedentary activities could be an important confounder in the association of sedentary time and prolonged sedentary time with cognition among adolescents. Future research should therefore collect data on the context of sedentary activities. This study was registered at ClinicalTrials.gov in January 2020 (NCT04327414; released on March 11, 2020).
Sections du résumé
BACKGROUND
BACKGROUND
While there is increasing evidence for negative physical health consequences of high volumes of sedentary time and prolonged sedentary time in adolescents, the association with cognition is less clear. This study investigated the association of volumes of habitual sedentary time and prolonged sedentary time with executive functions and short-term memory in adolescents.
METHODS
METHODS
This study has a cross-sectional observational study design. Volumes of sedentary time and prolonged sedentary time (accumulated sedentary time spent in bouts of ≥ 30 min) were measured using the Axivity AX3 accelerometer. Six cognitive functions (spatial and verbal short-term memory; and working memory, visuospatial working memory, response inhibition and planning as executive functions) were measured using six validated cognitive assessments. Data were analysed using generalised linear models.
RESULTS
RESULTS
Data of 119 adolescents were analysed (49% boys, 13.4 ± 0.6 year). No evidence for an association of volumes of sedentary time and prolonged sedentary time with spatial and verbal short-term memory, working memory, and visuospatial working memory was found. Volumes of sedentary time and prolonged sedentary time were significantly related to planning. One hour more sedentary time or prolonged sedentary time per day was associated with respectively on average 17.7% (95% C.I.: 3.5-29.7%) and 12.1% (95% C.I.: 3.9-19.6%) lower scores on the planning task.
CONCLUSIONS
CONCLUSIONS
No evidence was found for an association of volumes of habitual sedentary time and prolonged sedentary time with short-term memory and executive functions, except for planning. Furthermore, the context of sedentary activities could be an important confounder in the association of sedentary time and prolonged sedentary time with cognition among adolescents. Future research should therefore collect data on the context of sedentary activities.
TRIAL REGISTRATION
BACKGROUND
This study was registered at ClinicalTrials.gov in January 2020 (NCT04327414; released on March 11, 2020).
Identifiants
pubmed: 38365719
doi: 10.1186/s12889-024-18014-x
pii: 10.1186/s12889-024-18014-x
doi:
Banques de données
ClinicalTrials.gov
['NCT04327414']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
495Subventions
Organisme : Fonds Wetenschappelijk Onderzoek
ID : FWO.KAN.2019.0024.01
Informations de copyright
© 2024. The Author(s).
Références
Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, et al. Sedentary behavior research network (SBRN) - Terminology consensus project process and outcome. Int J Behav Nutr Phys Act. 2017;14(1):75.
pubmed: 28599680
pmcid: 5466781
doi: 10.1186/s12966-017-0525-8
Chong KH, Parrish AM, Cliff DP, Kemp BJ, Zhang Z, Okely AD. Changes in physical activity, sedentary behaviour and sleep across the transition from primary to secondary school: a systematic review. J Sci Med Sport. 2020;23(5):498–505.
pubmed: 31848107
doi: 10.1016/j.jsams.2019.12.002
Arundell L, Salmon J, Koorts H, Contardo Ayala AM, Timperio A. Exploring when and how adolescents sit: cross-sectional analysis of activPAL-measured patterns of daily sitting time, bouts and breaks. BMC Public Health. 2019;19(1):653.
pubmed: 31182044
pmcid: 6558889
doi: 10.1186/s12889-019-6960-5
Saunders TJ, McIsaac T, Douillette K, Gaulton N, Hunter S, Rhodes RE, et al. Sedentary behaviour and health in adults: an overview of systematic reviews. Appl Physiol Nutri Metab. 2020;4510(Suppl. 2):S197–217.
doi: 10.1139/apnm-2020-0272
Chaput JP, Willumsen J, Bull F, Chou R, Ekelund U, Firth J, et al. 2020 WHO guidelines on physical activity and sedentary behaviour for children and adolescents aged 5–17 years: summary of the evidence. Int J Behav Nutr Phys Act. 2020;17(1):141.
pubmed: 33239009
pmcid: 7691077
doi: 10.1186/s12966-020-01037-z
Dowd KP, Harrington DM, Hannigan A, Donnelly AE. Light-intensity physical activity is associated with adiposity in adolescent females. Med Sci Sports Exerc. 2014;46(12):2295–300.
pubmed: 24797308
doi: 10.1249/MSS.0000000000000357
Júdice PB, Silva AM, Berria J, Petroski EL, Ekelund U, Sardinha LB. Sedentary patterns, physical activity and health-related physical fitness in youth: a cross-sectional study. Int J Behav Nutr Phys Act. 2017;14(1):25.
pubmed: 28259140
pmcid: 5336686
doi: 10.1186/s12966-017-0481-3
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.
doi: 10.1016/j.mhpa.2014.01.001
Chandrasekaran B, Pesola AJ, Rao CR, Arumugam A. Does breaking up prolonged sitting improve cognitive functions in sedentary adults? A mapping review and hypothesis formulation on the potential physiological mechanisms. BMC Musculoskelet Disord. 2021;22(1):274.
pubmed: 33711976
pmcid: 7955618
doi: 10.1186/s12891-021-04136-5
Paus T. Mapping brain maturation and cognitive development during adolescence. Trends Cogn Sci. 2005;9(2):60–8.
pubmed: 15668098
doi: 10.1016/j.tics.2004.12.008
Peng P, Kievit RA. The development of academic achievement and cognitive abilities: a bidirectional perspective. Child Development Perspectives. 2020;14(1):15–20.
pubmed: 35909387
pmcid: 7613190
doi: 10.1111/cdep.12352
Baddeley A. Working memory: looking back and looking forward. Nat Rev Neurosci. 2003;4(10):829–39.
pubmed: 14523382
doi: 10.1038/nrn1201
Royall DR, Lauterbach EC, Cummings JL, Reeve A, Rummans TA, Kaufer DI, et al. Executive control function: a review of its promise and challenges for clinical research A report from the committee on research of the American neuropsychiatric association. J Neuropsychiatry Clin Neurosci. 2002;14(4):377–405.
pubmed: 12426407
doi: 10.1176/jnp.14.4.377
Cowan N. What are the differences between long-term, short-term, and working memory? Prog Brain Res. 2008;169:323–38.
pubmed: 18394484
pmcid: 2657600
doi: 10.1016/S0079-6123(07)00020-9
Li S, Guo J, Zheng K, Shi M, Huang T. Is sedentary behavior associated with executive function in children and adolescents? Syst Rev Front Public Health. 2022;10:832845.
doi: 10.3389/fpubh.2022.832845
van der Niet AG, Smith J, Scherder EJ, Oosterlaan J, Hartman E, Visscher C. Associations between daily physical activity and executive functioning in primary school-aged children. J Sci Med Sport. 2015;18(6):673–7.
pubmed: 25262450
doi: 10.1016/j.jsams.2014.09.006
Fairclough SJ, Tyler R, Dainty JR, Dumuid D, Richardson C, Shepstone L, Atkin AJ. Cross-sectional associations between 24-hour activity behaviours and mental health indicators in children and adolescents: a compositional data analysis. J Sports Sci. 2021;39(14):1602–14.
pubmed: 33615990
doi: 10.1080/02640414.2021.1890351
Syväoja HJ, Tammelin TH, Ahonen T, Kankaanpää A, Kantomaa MT. The associations of objectively measured physical activity and sedentary time with cognitive functions in school-aged children. PLoS ONE. 2014;9(7):e103559.
pubmed: 25061820
pmcid: 4111611
doi: 10.1371/journal.pone.0103559
Aadland KN, Moe VF, Aadland E, Anderssen SA, Resaland GK, Ommundsen Y. Relationships between physical activity, sedentary time, aerobic fitness, motor skills and executive function and academic performance in children. Ment Health Phys Act. 2017;12:10–8.
doi: 10.1016/j.mhpa.2017.01.001
Mazzoli E, Teo WP, Salmon J, Pesce C, He J, Ben-Soussan TD, Barnett LM. Associations of class-time sitting stepping and sit-to-stand transitions with cognitive functions and brain activity in children. Int J Environ Res Public Health. 2019;16(9):1482.
pubmed: 31027380
pmcid: 6539435
doi: 10.3390/ijerph16091482
Wickel EE. Sedentary time, physical activity, and executive function in a longitudinal study of youth. J Phys Act Health. 2017;14(3):222–8.
pubmed: 27918695
doi: 10.1123/jpah.2016-0200
Von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. The Lancet. 2007;370(9596):1453–7.
doi: 10.1016/S0140-6736(07)61602-X
Van Oeckel V. Associations of habitual sedentary time with cognitive functions in 7th and 8th grade adolescents. Open Science Framework; 2022. https://osf.io/jxu9n/ .
Hampshire A, Highfield RR, Parkin BL, Owen AM. Fractionating human intelligence. Neuron. 2012;76(6):1225–37.
pubmed: 23259956
doi: 10.1016/j.neuron.2012.06.022
Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn Psychol. 2000;41(1):49–100.
pubmed: 10945922
doi: 10.1006/cogp.1999.0734
Owen AM. Cognitive planning in humans: neuropsychological, neuroanatomical and neuropharmacological perspectives. Prog Neurobiol. 1997;53(4):431–50.
pubmed: 9421831
doi: 10.1016/S0301-0082(97)00042-7
Baddeley A. Working memory. Sci. 1992;255(5044):556–9.
doi: 10.1126/science.1736359
Levine B, Bacopulos A, Anderson N, Black S, Davidson P, Fitneva S, et al. Validation of a novel computerized test battery for automated testing. Stroke. 2013;44:E196.
Stojanoski B, Joanisse M, Stevenson R, Cambridge Brain Sciences Inc. Developing and validating tools to assess higher level cognition in children and adolescents. Project Summaries. 2019;32. https://ir.lib.uwo.ca/brainscanprojectsummaries/32/ , https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1042&context=brainscanprojectsummaries .
Laureys F, De Waelle S, Barendse MT, Lenoir M, Deconinck FJ. The factor structure of executive function in childhood and adolescence. Intelligence. 2022;90:101600.
doi: 10.1016/j.intell.2021.101600
van Hees V, Fang Z, Mirkes E, Heywood J, Zhao JH, Joan CP, et al. GGIR (2.3-1). Zenodo. 2021. https://zenodo.org/records/7043054 .
Narayanan A, Stewart T, Mackay L. A dual-accelerometer system for detecting human movement in a free-living environment. Med Sci Sports Exerc. 2020;52(1):252–8.
pubmed: 31361712
doi: 10.1249/MSS.0000000000002107
Katapally TR, Muhajarine N. Towards uniform accelerometry analysis: a standardization methodology to minimize measurement bias due to systematic accelerometer wear-time variation. J Sports Sci Med. 2014;13(2):379–86.
pubmed: 24790493
pmcid: 3990893
Verloigne M, Ridgers ND, De Bourdeaudhuij I, Cardon G. Effect and process evaluation of implementing standing desks in primary and secondary schools in Belgium: a cluster-randomised controlled trial. Int J Behav Nutr Phys Act. 2018;15(1):94.
pubmed: 30261883
pmcid: 6161341
doi: 10.1186/s12966-018-0726-9
Walsh JJ, Barnes JD, Cameron JD, Goldfield GS, Chaput JP, Gunnell KE, et al. Associations between 24 hour movement behaviours and global cognition in US children: a cross-sectional observational study. Lancet Child Adolesc Health. 2018;2(11):783–91.
pubmed: 30268792
pmcid: 6298223
doi: 10.1016/S2352-4642(18)30278-5
van Hees VT, Gorzelniak L, Dean León EC, Eder M, Pias M, Taherian S, et al. Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PLoS ONE. 2013;8(4):e61691.
pubmed: 23626718
pmcid: 3634007
doi: 10.1371/journal.pone.0061691
de Zambotti M, Baker FC, Willoughby AR, Godino JG, Wing D, Patrick K, Colrain IM. Measures of sleep and cardiac functioning during sleep using a multi-sensory commercially-available wristband in adolescents. Physiol Behav. 2016;158:143–9.
pubmed: 26969518
pmcid: 5498752
doi: 10.1016/j.physbeh.2016.03.006
Godino JG, Wing D, de Zambotti M, Baker FC, Bagot K, Inkelis S, et al. Performance of a commercial multi-sensor wearable (Fitbit Charge HR) in measuring physical activity and sleep in healthy children. PLoS ONE. 2020;15(9):e0237719.
pubmed: 32886714
pmcid: 7473549
doi: 10.1371/journal.pone.0237719
Greenland S, Maclure M, Schlesselman JJ, Poole C, Morgenstern H. Standardized regression coefficients: a further critique and review of some alternatives. Epidemiology. 1991;2(5):387–92.
pubmed: 1742392
doi: 10.1097/00001648-199109000-00015
Miyake A, Friedman NP. The nature and organization of individual differences in executive functions: four general conclusions. Curr Dir Psychol Sci. 2012;21(1):8–14.
pubmed: 22773897
pmcid: 3388901
doi: 10.1177/0963721411429458
Aggio D, Smith L, Fisher A, Hamer M. Context-specific associations of physical activity and sedentary behavior with cognition in children. Am J Epidemiol. 2016;183(12):1075–82.
pubmed: 27226249
pmcid: 4908213
doi: 10.1093/aje/kww031
Jirout J, LoCasale-Crouch J, Turnbull K, Gu Y, Cubides M, Garzione S, et al. How lifestyle factors affect cognitive and executive function and the ability to learn in children. Nutrients. 2019;11(8):1953.
pubmed: 31434251
pmcid: 6723730
doi: 10.3390/nu11081953
Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10(1):37–48.
pubmed: 9888278
doi: 10.1097/00001648-199901000-00008
Chinapaw MJ, De Niet M, Verloigne M, De Bourdeaudhuij I, Brug J, Altenburg TM. From sedentary time to sedentary patterns: accelerometer data reduction decisions in youth. PLoS ONE. 2014;9(11):e111205.
pubmed: 25369021
pmcid: 4219709
doi: 10.1371/journal.pone.0111205
Anwyl-Irvine A, Dalmaijer E, Hodges N, Evershed J. Online timing accuracy and precision: A comparison of platforms, browsers, and participant's devices. 2020. https://osf.io/preprints/psyarxiv/jfeca , https://www.researchgate.net/publication/338620336_Online_Timing_Accuracy_and_Precision_A_comparison_of_platforms_browsers_and_participant's_devices .
Perneger TV. What’s wrong with Bonferroni adjustments. BMJ. 1998;316(7139):1236–8.
pubmed: 9553006
pmcid: 1112991
doi: 10.1136/bmj.316.7139.1236
Janssen X, Cliff DP. Issues related to measuring and interpreting objectively measured sedentary behavior data. Meas Phys Educ Exerc Sci. 2015;19(3):116–24.
doi: 10.1080/1091367X.2015.1045908