Acute effects of breaking up prolonged sitting on fatigue and cognition: a pilot study

Patrik Wennberg, Carl-Johan Boraxbekk, Michael Wheeler, Bethany Howard, Paddy C Dempsey, Gavin Lambert, Nina Eikelis, Robyn Larsen, Parneet Sethi, Jessica Occleston, Jenny Hernestål-Boman, Kathryn A Ellis, Neville Owen, David W Dunstan, Patrik Wennberg, Carl-Johan Boraxbekk, Michael Wheeler, Bethany Howard, Paddy C Dempsey, Gavin Lambert, Nina Eikelis, Robyn Larsen, Parneet Sethi, Jessica Occleston, Jenny Hernestål-Boman, Kathryn A Ellis, Neville Owen, David W Dunstan

Abstract

Objectives: To compare the acute effects of uninterrupted sitting with sitting interrupted by brief bouts of light-intensity walking on self-reported fatigue, cognition, neuroendocrine biomarkers and cardiometabolic risk markers in overweight/obese adults.

Design: Randomised two-condition crossover trial.

Setting: Laboratory study conducted in Melbourne, Australia.

Participants: 19 overweight/obese adults (45-75 years).

Interventions: After an initial 2 h period seated, participants consumed a meal-replacement beverage and completed (on 2 days separated by a 6-day washout period) each condition over the next 5 h: uninterrupted sitting (sedentary condition) or sitting with 3 min bouts of light-intensity walking every 30 min (active condition).

Primary outcome measures: Self-reported fatigue, executive function and episodic memory at 0 h, 4 h and 7 h.

Secondary outcome measures: Neuroendocrine biomarkers and cardiometabolic risk markers (blood collections at 0 h, 4 h and 7 h, blood pressure and heart rate measured hourly and interstitial glucose measured using a continuous glucose monitoring system).

Results: During the active condition, fatigue levels were lower at 4 h (-13.32 (95% CI -23.48 to -3.16)) and at 7 h (-10.73 (95% CI -20.89 to -0.58)) compared to the sedentary condition. Heart rate was higher at 4 h (4.47 (95% CI 8.37 to 0.58)) and at 7 h (4.32 (95% CI 8.21 to 0.42)) during the active condition compared to the sedentary condition. There were no significant differences between conditions by time for other variables. In the sedentary condition, changes in fatigue scores over time correlated with a decrease in heart rate and plasma dihydroxyphenylalanine (DOPA) and an increase in plasma dihydroxyphenylglycol (DHPG).

Conclusions: Interrupting prolonged sitting with light-intensity walking breaks may be an effective fatigue countermeasure acutely. Fatigue levels corresponded with the heart rate and neuroendocrine biomarker changes in uninterrupted sitting in this pilot study. Further research is needed to identify potential implications, particularly for the occupational health context.

Trial registration number: ACTRN12613000137796; Results.

Keywords: OCCUPATIONAL & INDUSTRIAL MEDICINE; PREVENTIVE MEDICINE; SPORTS MEDICINE.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Figures

Figure 1
Figure 1
Study protocol.
Figure 2
Figure 2
Total fatigue score (estimated marginal means) at 0, 4 and 7 h for sedentary and active conditions.

References

    1. Dunstan DW, Kingwell BA, Larsen R et al. . Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care 2012;35:976–83. 10.2337/dc11-1931
    1. Bailey DP, Locke CD. Breaking up prolonged sitting with light-intensity walking improves postprandial glycemia, but breaking up sitting with standing does not. J Sci Med Sport 2015;18:294–8. 10.1016/j.jsams.2014.03.008
    1. Larsen RN, Kingwell BA, Sethi P et al. . Breaking up prolonged sitting reduces resting blood pressure in overweight/obese adults. Nutr Metab Cardiovasc Dis 2014;24:976–82. 10.1016/j.numecd.2014.04.011
    1. Howard BJ, Fraser SF, Sethi P et al. . Impact on hemostatic parameters of interrupting sitting with intermittent activity. Med Sci Sports Exerc 2013;45:1285–91. 10.1249/MSS.0b013e318285f57e
    1. Riby LM, McLaughlin J, Riby DM et al. . Lifestyle, glucose regulation and the cognitive effects of glucose load in middle-aged adults. Br J Nutr 2008;100:1128–34. 10.1017/S0007114508971324
    1. Nilsson A, Radeborg K, Björck I. Effects of differences in postprandial glycaemia on cognitive functions in healthy middle-aged subjects. Eur J Clin Nutr 2009;63:113–20. 10.1038/sj.ejcn.1602900
    1. Davenport MH, Hogan DB, Eskes GA et al. . Cerebrovascular reserve: the link between fitness and cognitive function? Exerc Sport Sci Rev 2012;40:153–8. 10.1097/JES.0b013e3182553430
    1. Zoladz JA, Pilc A. The effect of physical activity on the brain derived neurotrophic factor: from animal to human studies. J Physiol Pharmacol 2010;61:533–41.
    1. Erickson KI, Voss MW, Prakash RS et al. . Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci U S A 2011;108:3017–22. 10.1073/pnas.1015950108
    1. Miyashita T, Williams CL. Epinephrine administration increases neural impulses propagated along the vagus nerve: role of peripheral beta-adrenergic receptors. Neurobiol Learn Mem 2006;85:116–24. 10.1016/j.nlm.2005.08.013
    1. Carson V, Kuzik N, Hunter S et al. . Systematic review of sedentary behavior and cognitive development in early childhood. Prev Med 2015;78:115–22. 10.1016/j.ypmed.2015.07.016
    1. Hamer M, Stamatakis E. Prospective study of sedentary behavior, risk of depression, and cognitive impairment. Med Sci Sports Exerc 2014;46:718–23. 10.1249/MSS.0000000000000156
    1. Parry S, Straker L. The contribution of office work to sedentary behaviour associated risk. BMC Public Health 2013;13:296 10.1186/1471-2458-13-296
    1. Thorp AA, Kingwell BA, Owen N et al. . Breaking up workplace sitting time with intermittent standing bouts improves fatigue and musculoskeletal discomfort in overweight/obese office workers. Occup Environ Med 2014;71:765–71. 10.1136/oemed-2014-102348
    1. Dutta N, Koepp GA, Stovitz SD et al. . Using sit-stand workstations to decrease sedentary time in office workers: a randomized crossover trial. Int J Environ Res Public Health 2014;11:6653–65. 10.3390/ijerph110706653
    1. Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 1985;39(Suppl 1):5–41.
    1. Winkler EA, Gardiner PA, Clark BK et al. . Identifying sedentary time using automated estimates of accelerometer wear time. Br J Sports Med 2012;46:436–42. 10.1136/bjsm.2010.079699
    1. Healy GN, Dunstan DW, Salmon J et al. . Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose. Diabetes Care 2007;30:1384–9. 10.2337/dc07-0114
    1. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc 1998;30:777–81. 10.1097/00005768-199805000-00021
    1. Lee KA, Hicks G, Nino-Murcia G. Validity and reliability of a scale to assess fatigue. Psychiatry Res 1991;36:291–8. 10.1016/0165-1781(91)90027-M
    1. Chang YK, Labban JD, Gapin JI et al. . The effects of acute exercise on cognitive performance: a meta-analysis. Brain Res 2012;1453:87–101. 10.1016/j.brainres.2012.02.068
    1. McMorris T, Hale BJ. Differential effects of differing intensities of acute exercise on speed and accuracy of cognition: a meta-analytical investigation. Brain Cogn 2012;80:338–51. 10.1016/j.bandc.2012.09.001
    1. Persson J, Kalpouzos G, Nilsson LG et al. . Preserved hippocampus activation in normal aging as revealed by fMRI. Hippocampus 2011;21:753–66. 10.1002/hipo.20794
    1. Eriksen BA, Eriksen CW. Effects of noise letters upon identification of a target letter in a nonsearch task. Percept Psychophys 1974;16:143–9. 10.3758/BF03203267
    1. Stroop JR. Studies of interference in serial verbal rections. J Exp Psychol 1935;18:643–62. 10.1037/h0054651
    1. Kirchner WK. Age differences in short-term retention of rapidly changing information. J Exp Psychol 1958;55:352–8. 10.1037/h0043688
    1. Dahlin E, Nyberg L, Bäckman L et al. . Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance. Psychol Aging 2008;23:720–30. 10.1037/a0014296
    1. Beck RW, Calhoun P, Kollman C. Use of continuous glucose monitoring as an outcome measure in clinical trials. Diabetes Technol Ther 2012;14:877–82. 10.1089/dia.2012.0079
    1. Terada T, Loehr S, Guigard E et al. . Test-retest reliability of a continuous glucose monitoring system in individuals with type 2 diabetes. Diabetes Technol Ther 2014;16:491–8. 10.1089/dia.2013.0355
    1. Lambert GW, Jonsdottir IH. Influence of voluntary exercise on hypothalamic norepinephrine. J Appl Physiol (1985) 1998;85: 962–6.
    1. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc 1982;14:377–81.
    1. Ellingson LD, Kuffel AE, Vack NJ et al. . Active and sedentary behaviors influence feelings of energy and fatigue in women. Med Sci Sports Exerc 2014;46:192–200.
    1. Faber LG, Maurits NM, Lorist MM. Mental fatigue affects visual selective attention. PLoS ONE 2012;7:e48073 10.1371/journal.pone.0048073
    1. Demyttenaere K, De Fruyt J, Stahl SM. The many faces of fatigue in major depressive disorder. Int J Neuropsychopharmacol 2005;8:93–105. 10.1017/S1461145704004729
    1. Klimas NG, Broderick G, Fletcher MA. Biomarkers for chronic fatigue. Brain Behav Immun 2012;26:1202–10. 10.1016/j.bbi.2012.06.006
    1. Van Cauwenbergh D, Nijs J, Kos D et al. . Malfunctioning of the autonomic nervous system in patients with chronic fatigue syndrome: a systematic literature review. Eur J Clin Invest 2014;44:516–26. 10.1111/eci.12256
    1. Tanaka M, Mizuno K, Yamaguti K et al. . Autonomic nervous alterations associated with daily level of fatigue. Behav Brain Funct 2011;7:46 10.1186/1744-9081-7-46
    1. Izzo JL Jr, Thompson DA, Horwitz D. Plasma dihydroxyphenylglycol (DHPG) in the in vivo assessment of human neuronal norepinephrine metabolism. Life Sci 1985;37:1033–8. 10.1016/0024-3205(85)90593-4
    1. Kennedy DO, Scholey AB. Glucose administration, heart rate and cognitive performance: effects of increasing mental effort. Psychopharmacology (Berl) 2000;149:63–71. 10.1007/s002139900335
    1. DeLuca J, Genova HM, Capili EJ et al. . Functional neuroimaging of fatigue. Phys Med Rehabil Clin N Am 2009;20:325–37. 10.1016/j.pmr.2008.12.007
    1. Cengiz E, Tamborlane WV. A tale of two compartments: interstitial versus blood glucose monitoring. Diabetes Technol Ther 2009;11(Suppl 1):S11–16. 10.1089/dia.2009.0002
    1. Yardley JE, Sigal RJ, Kenny GP et al. . Point accuracy of interstitial continuous glucose monitoring during exercise in type 1 diabetes. Diabetes Technol Ther 2013;15:46–9. 10.1089/dia.2012.0182
    1. Ng SW, Popkin BM. Time use and physical activity: a shift away from movement across the globe. Obes Rev 2012;13:659–80. 10.1111/j.1467-789X.2011.00982.x
    1. Junghaenel DU, Christodoulou C, Lai JS et al. . Demographic correlates of fatigue in the US general population: results from the patient-reported outcomes measurement information system (PROMIS) initiative. J Psychosom Res 2011;71:117–23. 10.1016/j.jpsychores.2011.04.007
    1. Pepin V, Boucetta S, Chan-Thim E et al. . The role of sleep and physical activity on the risk for cardiovascular disease. Curr Cardiovasc Risk Rep 2014;413.
    1. Chasens ER, Umlauf MG, Weaver TE. Sleepiness, physical activity, and functional outcomes in veterans with type 2 diabetes. Appl Nurs Res 2009;22:176–82. 10.1016/j.apnr.2007.12.001
    1. Boksem MA, Meijman TF, Lorist MM. Effects of mental fatigue on attention: an ERP study. Brain Res Cogn Brain Res 2005;25:107–16. 10.1016/j.cogbrainres.2005.04.011
    1. Murray NP, Russoniello C. Acute physical activity on cognitive function: a heart rate variability examination. Appl Psychophysiol Biofeedback 2012;37:219–27. 10.1007/s10484-012-9196-z

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