Morning fatigue and structured exercise interact to affect non-exercise physical activity of fit and healthy older adults
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
PRIMUS/MED/17/05
Univerzita Karlova v Praze
Progres Q41
Univerzita Karlova v Praze
PubMed
33711945
PubMed Central
PMC7953813
DOI
10.1186/s12877-021-02131-y
PII: 10.1186/s12877-021-02131-y
Knihovny.cz E-zdroje
- Klíčová slova
- Accelerometer, Ecological momentary assessment, Intensity gradient, Physical activity compensation, Within-subject analysis,
- MeSH
- cvičení * MeSH
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- stárnutí MeSH
- únava * MeSH
- zdravotní stav MeSH
- Check Tag
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Exercise training is crucial for maintaining physical and mental health in aging populations. However, as people participate in structured exercise training, they tend to behaviorally compensate by decreasing their non-exercise physical activity, thus potentially blunting the benefits of the training program. Furthermore, physical activity of older adults is substantially influenced by physical feelings such as fatigue. Nevertheless, how older people react to day-to-day fluctuations of fatigue and whether fatigue plays a role in non-exercise physical activity compensation is not known. Thus, the purpose of this study was twofold: (1) To explore whether the volume and intensity of habitual physical activity in older adults were affected by morning fatigue. (2) To investigate the effect of attending power and resistance exercise sessions on the levels of non-exercise physical activity later that day and the following day. METHODS: Twenty-eight older adults wore an accelerometer during a 4-week low-volume, low-intensity resistance and power training program with three exercise sessions per week and for 3 weeks preceding and 1 week following the program. During the same period, the participants were prompted every morning, using text messages, to rate their momentary fatigue on a scale from 0 to 10. RESULTS: Greater morning fatigue was associated with lower volume (p = 0.002) and intensity (p = 0.017) of daily physical activity. Specifically, one point greater on the fatigue scale was associated with 3.2 min (SE 1.0) less moderate-to-vigorous physical activity. Furthermore, attending an exercise session was associated with less moderate-to-vigorous physical activity later that day by 3.7 min (SE 1.9, p = 0.049) compared to days without an exercise session. During the next day, the volume of physical activity was greater, but only in participants with a body mass index up to 23 (p = 0.008). CONCLUSIONS: Following low-volume exercise sessions, fit and healthy older adults decreased their non-exercise physical activity later that day, but this compensation did not carry over into the next day. As momentary morning fatigue negatively affects daily physical activity, we suggest that the state level of fatigue should be monitored during intensive exercise programs, especially in less fit older adults with increased fatigability.
Zobrazit více v PubMed
Piercy KL, Troiano RP, Ballard RM, et al. The physical activity guidelines for Americans. JAMA. 2018;320:2020–2028. doi: 10.1001/jama.2018.14854. PubMed DOI PMC
Steffl M, Bohannon RW, Sontakova L, Tufano JJ, Shiells K, Holmerova I. Relationship between sarcopenia and physical activity in older people: a systematic review and meta-analysis. Clin Interv Aging. 2017;12:835–845. doi: 10.2147/cia.s132940. PubMed DOI PMC
Vetrovsky T, Čupka J, Dudek M, et al. Mental health and quality of life benefits of a pedometer-based walking intervention delivered in a primary care setting. Acta Gymnica. 2017;47:138–143. doi: 10.5507/ag.2017.017. DOI
Cadore EL, Rodriguez-Mañas L, Sinclair A, Izquierdo M. Effects of different exercise interventions on risk of falls, gait ability, and balance in physically frail older adults: a systematic review. Rejuvenation Res. 2013;16:105–114. doi: 10.1089/rej.2012.1397. PubMed DOI PMC
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;52:154–160. doi: 10.1136/bjsports-2016-096587. PubMed DOI
Vetrovsky T, Steffl M, Stastny P, Tufano JJ. The efficacy and safety of lower-limb plyometric training in older adults: a systematic review. Sports Med. 2019;49:113–131. doi: 10.1007/s40279-018-1018-x. PubMed DOI PMC
VanEtten L, Westerterp KR, Verstappen FTJ, Boon BJB, Saris WHM. Effect of an 18-wk weight-training program on energy expenditure and physical activity. J Appl Physiol. 1997;82:298–304. doi: 10.1152/jappl.1997.82.1.298. PubMed DOI
Westerterp KR. Alterations in energy balance with exercise. Am J Clin Nutr. 1998;68:970S–974S. doi: 10.1093/ajcn/68.4.970s. PubMed DOI
Silva AM, Júdice PB, Carraça EV, King N, Teixeira PJ, Sardinha LB. What is the effect of diet and/or exercise interventions on behavioural compensation in non-exercise physical activity and related energy expenditure of free-living adults? A systematic review. Br J Nutr. 2018;119:1327–1345. doi: 10.1017/s000711451800096x. PubMed DOI
Drenowatz C, Grieve GL, DeMello MM. Change in energy expenditure and physical activity in response to aerobic and resistance exercise programs. SpringerPlus. 2015;4:798. doi: 10.1186/s40064-015-1594-2. PubMed DOI PMC
Hunter GR, Wetzstein CJ, Fields DA, Brown A, Bamman MM. Resistance training increases total energy expenditure and free-living physical activity in older adults. J Appl Physiol. 2000;89:977–984. doi: 10.1152/jappl.2000.89.3.977. PubMed DOI
Fedewa MV, Hathaway ED, Williams TD, Schmidt MD. Effect of exercise training on non-exercise physical activity: a systematic review and meta-analysis of randomized controlled trials. Sports Med. 2017;47:1171–1182. doi: 10.1007/s40279-016-0649-z. PubMed DOI
Goran MI, Poehlman ET. Endurance training does not enhance total energy expenditure in healthy elderly persons. Am J Physiol Endocrinol Metab. 1992;263:E950–E957. doi: 10.1152/ajpendo.1992.263.5.e950. PubMed DOI
Meijer EP, Westerterp KR, Verstappen FTJ. Effect of exercise training on total daily physical activity in elderly humans. Eur J Appl Physiol Occup Physiol. 1999;80:16–21. doi: 10.1007/s004210050552. PubMed DOI
Hardy SE, Studenski SA. Fatigue and function over 3 years among older adults. J Gerontol A Biol Sci Med Sci. 2008;63:1389–1392. doi: 10.1093/gerona/63.12.1389. PubMed DOI PMC
Vestergaard S, Nayfield SG, Patel KV, et al. Fatigue in a representative population of older persons and its association with functional impairment, functional limitation, and disability. J Gerontol A Biol Sci Med Sci. 2009;64A:76–82. doi: 10.1093/gerona/gln017. PubMed DOI PMC
Christie AD, Seery E, Kent JA. Physical activity, sleep quality, and self-reported fatigue across the adult lifespan. Exp Gerontol. 2016;77:7–11. doi: 10.1016/j.exger.2016.02.001. PubMed DOI PMC
Zengarini E, Ruggiero C, Pérez-Zepeda MU, et al. Fatigue: relevance and implications in the aging population. Exp Gerontol. 2015;70:78–83. doi: 10.1016/j.exger.2015.07.011. PubMed DOI
Moreh E, Jacobs JM, Stessman J. Fatigue, function, and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2010;65A:887–895. doi: 10.1093/gerona/glq064. PubMed DOI
Egerton T, Chastin SFM, Stensvold D, Helbostad JL. Fatigue may contribute to reduced physical activity among older people: an observational study. J Gerontol A Biol Sci Med Sci. 2016;71:670–676. doi: 10.1093/gerona/glv150. PubMed DOI
Nicklas BJ, Beavers DP, Mihalko SL, Miller GD, Loeser RF, Messier SP. Relationship of objectively-measured habitual physical activity to chronic inflammation and fatigue in middle-aged and older adults. J Gerontol A Biol Sci Med Sci. 2016;71:1437–1443. doi: 10.1093/gerona/glw131. PubMed DOI PMC
Kanning MK, Ebner-Priemer UW, Schlicht WM. How to investigate within-subject associations between physical activity and momentary affective states in everyday life: a position statement based on a literature overview. Front Psychol. 2013;4:187. doi: 10.3389/fpsyg.2013.00187. PubMed DOI PMC
Dunton GF. Ecological momentary assessment in physical activity research. Exerc Sport Sci Rev. 2017;45:48–54. doi: 10.1249/jes.0000000000000092. PubMed DOI PMC
Vetrovsky T, Omcirk D, Malecek J, Stastny P, Steffl M, Tufano JJ. Overspeed stimulus provided by assisted jumping encourages rapid increases in strength and power performance of older adults. J Aging Phys Act. 10.1123/japa.2020-0012. PubMed
Mendoza TR, Wang XS, Cleeland CS, et al. The rapid assessment of fatigue severity in cancer patients. Cancer. 1999;85:1186–96. 10.1002/(sici)1097-0142(19990301)85:5<1186::aid-cncr24>3.0.co;2-n. PubMed
Shuman-Paretsky MJ, Belser-Ehrlich J, Holtzer R. Psychometric properties of the brief fatigue inventory in community-dwelling older adults. Arch Phys Med Rehabil. 2014;95:1533–1539. doi: 10.1016/j.apmr.2014.03.026. PubMed DOI PMC
Enoka RM, Duchateau J. Translating fatigue to human performance. Med Sci Sports Exerc. 2016;48:2228–2238. doi: 10.1249/mss.0000000000000929. PubMed DOI PMC
Schneider S, Stone AA, Schwartz JE, Broderick JE. Peak and end effects in patients’ daily recall of pain and fatigue: a within-subjects analysis. J Pain. 2011;12:228–235. doi: 10.1016/j.jpain.2010.07.001. PubMed DOI PMC
Liao Y, Chou C-P, Huh J, Leventhal A, Dunton G. Examining acute bi-directional relationships between affect, physical feeling states, and physical activity in free-living situations using electronic ecological momentary assessment. J Behav Med. 2017;40:445–457. doi: 10.1007/s10865-016-9808-9. PubMed DOI PMC
Dunton GF, Atienza AA, Castro CM, King AC. Using ecological momentary assessment to examine antecedents and correlates of physical activity bouts in adults age 50+ years: a pilot study. Ann Behav Med. 2010;38:249–255. doi: 10.1007/s12160-009-9141-4. PubMed DOI PMC
Murphy SL, Alexander NB, Levoska M, Smith DM. Relationship between fatigue and subsequent physical activity among older adults with symptomatic osteoarthritis. Arthritis Care Res. 2013;65:1617–1624. doi: 10.1002/acr.22030. PubMed DOI PMC
Tufano JJ, Malecek J, Steffl M, Stastny P, Hojka V, Vetrovsky T. Field-based and lab-based assisted jumping: unveiling the testing and training implications. Front Physiol. 2018;9:1284. doi: 10.3389/fphys.2018.01284. PubMed DOI PMC
Tufano JJ, Vetrovsky T, Stastny P, Steffl M, Malecek J, Omcirk D. Assisted jumping in healthy older adults: optimizing high-velocity training prescription. J Strength Cond Res. 10.1519/jsc.0000000000003661. PubMed
Rowlands AV, Edwardson CL, Davies MJ, Khunti K, Harrington DM, Yates T. Beyond cut points. Med Sci Sports Exerc. 2018;50:1323–1332. doi: 10.1249/mss.0000000000001561. PubMed DOI
Rowlands AV, Fairclough SJ, Yates T, et al. Activity intensity, volume, and norms. Med Sci Sports Exerc. 2019;51:2410–2422. doi: 10.1249/mss.0000000000002047. PubMed DOI
Migueles JH, Cadenas-Sanchez C, Tudor-Locke C, et al. Comparability of published cut-points for the assessment of physical activity: implications for data harmonization. Scand J Med Sci Sports. 2019;29:566–574. doi: 10.1111/sms.13356. PubMed DOI
Migueles JH, Rowlands AV, Huber F, Sabia S, Hees VT. GGIR: a research community–driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. J Meas Phys Behav. 2019;2:188–196. doi: 10.1123/jmpb.2018-0063. DOI
Hildebrand M, Hees VT, Hansen BH, Ekelund U. Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med Sci Sports Exerc. 2014;46:1816–1824. doi: 10.1249/mss.0000000000000289. PubMed DOI
Migueles JH, Cadenas-Sanchez C, Ekelund U, et al. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med. 2017;47:1821–1845. doi: 10.1007/s40279-017-0716-0. PubMed DOI PMC
Murphy SL, Smith DM. Ecological measurement of fatigue and fatigability in older adults with osteoarthritis. J Gerontol A Biol Sci Med Sci. 2010;65A:184–189. doi: 10.1093/gerona/glp137. PubMed DOI PMC
Wanigatunga AA, Simonsick EM, Zipunnikov V, et al. Perceived fatigability and objective physical activity in mid- to late-life. J Gerontol A Biol Sci Med Sci. 2018;73:630–635. doi: 10.1093/gerona/glx181. PubMed DOI PMC
Park S, Thøgersen-Ntoumani C, van Zanten JJCSV, Ntoumanis N. The role of physical activity and sedentary behavior in predicting daily pain and fatigue in older adults: a diary study. Ann Behav Med. 2017;52:1–10. doi: 10.1007/s12160-017-9921-1. PubMed DOI
Schrack JA, Zipunnikov V, Goldsmith J, et al. Assessing the “physical cliff”: detailed quantification of age-related differences in daily patterns of physical activity. J Gerontol A Biol Sci Med Sci. 2014;69:973–979. doi: 10.1093/gerona/glt199. PubMed DOI PMC
Melanson EL. The effect of exercise on non-exercise physical activity and sedentary behavior in adults. Obes Rev. 2017;18:40–49. doi: 10.1111/obr.12507. PubMed DOI PMC
Washburn RA, Lambourne K, Szabo AN, Herrmann SD, Honas JJ, Donnelly JE. Does increased prescribed exercise alter non-exercise physical activity/energy expenditure in healthy adults? A systematic review. Clin Obes. 2013;4:1–20. doi: 10.1111/cob.12040. PubMed DOI PMC
Egerton T, Brauer SG, Cresswell AG. Fatigue after physical activity in healthy and balance-impaired elderly. J Aging Phys Act. 2009;17:89–105. doi: 10.1123/japa.17.1.89. PubMed DOI
Meijer EP, Westerterp KR, Verstappen FTJ. Effect of exercise training on physical activity and substrate utilization in the elderly. Int J Sports Med. 2000;21:499–504. doi: 10.1055/s-2000-7419. PubMed DOI
Rangan VV, Willis LH, Slentz CA, et al. Effects of an 8-month exercise training program on off-exercise physical activity. Med Sci Sports Exerc. 2011;43:1744–1751. doi: 10.1249/mss.0b013e3182148a7e. PubMed DOI PMC