Intensity- and posture-specific 24-h physical behavior in the context of obesity in older adults: Results from pilot study during the COVID-19 pandemi The study aimed to present a method of monitoring
Authors:
Jan Vindiš; Jana Pechová; Jana Pelclová
Authors place of work:
Institut aktivního životního stylu, Fakulta tělesné kultury UP v Olomouci
Published in the journal:
Čas. Lék. čes. 2021; 160: 310-316
Category:
Original Articles
Summary
Cílem studie bylo představit metodu monitoringu 24hodinového pohybového chování z hlediska jeho intenzity typu a postury a následně analyzovat data z pilotního měření pohybového chování u seniorů v období pandemie COVID-19. Výzkumný soubor tvořilo 102 samostatně žijících mužů a žen (70,14 ± 5,22 roku). Pohybové chování bylo monitorováno pomocí tří akcelerometrů umístěných na odlišných částech těla (stehnu, zápěstí a pase). Souvislosti mezi proměnnými byly ověřeny pomocí analýzy rozptylu a kompoziční analýzy.
24hodinový profil pohybového chování se i v době pandemických restrikcí významně lišil mezi seniory s rozdílnou hodnotou indexu tělesné hmotnosti. U obézních seniorů, na rozdíl od seniorů s normálním hodnotou indexu tělesné hmotnosti, bylo navýšeno sedavé chování a naopak snížena pohybová aktivita střední až vysoké intenzity (p = 0,025). Významná spojitost byla nalezena mezi nárůstem času stráveného sedavým chováním a poklesem času věnovaného pohybu a rizikem obezity u českých seniorů.
Vzhledem ke komplexnímu popisu pohybového chování může být tato metoda využita pro monitorování pohybového chování specifických skupin obyvatel a následné naplánování pohybových intervencí.
Keywords:
sleep – Physical activity – accelerometer – Sedentary behavior – older adult – compositional data analysis
Zdroje
- Johansson MS, Korshøj M, Schnoh P et al. Time spent cycling, walking, running, standing and sedentary: a cross-sectional analysis of accelerometer-data from 1670 adults in the Copenhagen City Heart Study. BMC Public Health 2019; 19: 1370.
- Garber CE, Blissmer B, Deschenes MR et al. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults. Med Sci Sports Exerc 2011; 43: 1334–1359.
- Dumuid D, Olds T, Lewis LK et al. The adiposity of children is associated with their lifestyle behaviours: A cluster analysis of school-aged children from 12 nations. Pediatr Obes 2018; 13: 111–119.
- Meneguci J, Sasaki, JE, Santos A et al. Sitting time and quality of life in older adults: A population-based study. J Phys Act Health 2015; 12: 1513–1519.
- Rosenkranz RR, Duncan MJ, Rosenkranz, SK, Kolt GS. Active lifestyles related to excellent self-rated health and quality of life: cross sectional findings from 194,545 participants in the 45 and up study. BMC Public Health 2013; 13: 1071.
- Colley RC, Michaud I, Garriguet D. Reallocating time between sleep, sedentary and active behaviours: associations with obesity and health in Canadian adults. Health Rep 2018; 29: 3–13.
- Sallis R, Young DR, Tartof SY et al. Physical inactivity is associated with a higher risk for severe COVID-19 outcomes: a study in 48 440 adult patients. Br J Sports Med 2021; 55): 1099–1105.
- Crowley P, Skotte J, Stamatakis E et al. Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS). Int J Behav Nut Phys Act 2019; 16: 65.
- Pedišić Z. Measurement issues and poor adjustments for physical activity and sleep undermine sedentary behaviour research - the focus should shift to the balance between sleep, sedentary behaviour, standing and activity. Kinesiology 2014; 46: 135–146.
- Jørgensen MB, Gupta N, Korshøj, M et al. The DPhacto cohort: an overview of technically measured physical activity at work and leisure in blue-collar sectors for practitioners and researchers. Appl Ergon 2019; 77: 29–39.
- Pedišić Ž, Dumuid D, Olds TS. Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: definitions, concepts, statistical methods, theoretical framework, and future directions. Kinesiology 2017; 49: 252–269.
- Global recommendations on physical activity for health. World Health Organization, Geneva, 2010.
- Hardy R, Cooper R, Shah I et al. Is chair rise performance a useful measure of leg power? Aging Clin Exp Res 2010; 22: 412–418.
- Yoshioka S, Nagano A, Hay DC, Fukashiro S. Biomechanical analysis of the relation between movement time and joint moment development during a sit-to-stand task. Biomed Eng 2009; 8: 27.
- Howard VJ, Rhodes JD, Mosher A et al. Obtaining accelerometer data in a national cohort of black and white adults. Med Sci Sports Exerc 2015; 47: 1531–1537.
- Molina-Garcia P, Medrano M, Pelclová J et al. Device-measured physical activity, sedentary behaviors, built environment, and adiposity gain in older women: a seven-year prospective study. Int J Env Res Pub Health 2021; 18: 3074.
- Doherty A, Jackson D, Hammerla N et al. Large scale population assessment of physical activity using wrist worn accelerometers: the UK biobank study. PLoS One 2017; 12: e0169649.
- Kerr J, Marinac CR, Ellis K et al. Comparison of accelerometry methods for estimating physical activity. Med Sci Sports Exerc 2017; 49: 617–624.
- Stemland I, Ingebrigtsen J, Christiansen C S et al. Validity of the Acti4 method for detection of physical activity types in free-living settings: comparison with video analysis. Ergonomics 2015; 58: 953–965.
- Cleland I, Kikhia B, Nugent C et al. Optimal placement of accelerometers for the detection of everyday activities. Sensors 2013; 13: 9183–9200.
- Stevens ML, Gupta N, Inan Eroglu E et al. Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement. BMJ Open Sport Exerc Med 2020; 6: e000874.
- Migueles JH, Rowlands AV, Huber F et al. GGIR: A research community-driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. JMPB 2019; 2: 188–196.
- Fraysse F, Post D, Esto R et al. Physical activity intensity cut-points for wrist-worn GENEActiv in older adults. Front Sports Act Living 2021; 2: 579278.
- Rowlands AV, Mirkes EM, Yates T et al. Accelerometer-assessed physical activity in epidemiology. Med Sci Sports Exerc 2018; 50: 257–265.
- van Hees VT, Sabia S, Jones SE et al. Estimating sleep parameters using an accelerometer without sleep diary. Sci Rep 2018; 8: 12975.
- WHO. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organization, Geneva, 2000.
- Garcia Meneguci CA, Meneguci J, Sasaki JE et al. Physical activity, sedentary behavior and functionality in older adults: a cross-sectional path analysis. PLoS One 2021; 16: e0246275.
- Svozilová Z, Pelclová J, Pechová J et al. Associations between adiposity and physical activity and sedentary behaviour patterns in older women. Acta Gymnica 2019; 49: 83–91.
- Raimundo A, Marmeleira J, Ferreira S. A systematic review of studies that included both measures of physical activity and sedentary behaviour in older adults. Rev Andal Med Depot 2020; 13: 45–50.
- Pechová J, Pelclová J, Gába A a kol. Sedavé chování a adipozita u žen starších 55 let. Časopis lékařů českých 2019; 158: 112–117.
- Štefelová N, Dygrýn J, Hron K et al. Robust compositional analysis of physical activity and sedentary behaviour data. Int J Environ Res Public Health 2018; 15: 2248.
- Powell C, Browne LD, Carson BP et al. Use of compositional data analysis to show estimated changes in cardiometabolic health by reallocating time to light-intensity physical activity in older adults. Sports Med 2020; 50: 205–217.
- Cabanas‐Sánchez V, Esteban‐Cornejo I, Migueles JH et al. Twenty four‐hour activity cycle in older adults using wrist‐worn accelerometers: the seniors‐ENRICA‐2 study. Scand J Med Sci Sports 2020; 30: 700–708.
- Cabanas-Sánchez V, Higueras-Fresnillo S, De La Cámara MÁ et al. 24-h Movement and nonmovement behaviors in older adults. The IMPACT65+ Study. Med Sci Sports Exerc 2019; 51: 671–680.
- Bull FC, Al-Ansari SS, Biddle S et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med 2020; 54: 1451–1462.
- Dumuid D, Lewis LK, Olds TS et al. Relationships between older adults’ use of time and cardio-respiratory fitness, obesity and cardio-metabolic risk: A compositional isotemporal substitution analysis. Maturitas 2019; 110: 104–110.
- Pelclová J, Štefelová N, Hodonská J et al. Reallocating time from sedentary behavior to light and moderate-to-vigorous physical activity: What has a stronger association with adiposity in older adult women? Int J Environ Res Public Health 2018; 15: 1444.
Štítky
Addictology Allergology and clinical immunology Angiology Audiology Clinical biochemistry Dermatology & STDs Paediatric gastroenterology Paediatric surgery Paediatric cardiology Paediatric neurology Paediatric ENT Paediatric psychiatry Paediatric rheumatology Diabetology Pharmacy Vascular surgery Pain management Dental HygienistČlánok vyšiel v časopise
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