Drivers of productivity: Being physically active increases yet sedentary bouts and lack of sleep decrease work ability.

Szczegóły
Abstrakt

Tytuł:: Drivers of productivity: Being physically active increases yet sedentary bouts and lack of sleep decrease work ability.
Autorzy:: Giurgiu M; Department of Sports and Sports Science, Mental mHealth Lab, Karlsruhe Institute of Technology (KIT, Karlsruhe, Germany.; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Nissen R; Department of Sports and Sports Science, Mental mHealth Lab, Karlsruhe Institute of Technology (KIT, Karlsruhe, Germany.
Müller G; Department of Health Promotion, AOK Baden-Wuerttemberg, Stuttgart, Germany.
Ebner-Priemer UW; Department of Sports and Sports Science, Mental mHealth Lab, Karlsruhe Institute of Technology (KIT, Karlsruhe, Germany.; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Reichert M; Department of Sports and Sports Science, Mental mHealth Lab, Karlsruhe Institute of Technology (KIT, Karlsruhe, Germany.; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Clark B; School of Public Health, The University of Queensland, Brisbane, QL, Australia.
Źródło:: Scandinavian journal of medicine & science in sports [Scand J Med Sci Sports] 2021 Oct; Vol. 31 (10), pp. 1921-1931. Date of Electronic Publication: 2021 Jul 09.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Publication: Copenhagen : Munksgaard International Publishers
Original Publication: Copenhagen : Munksgaard, c1991-
MeSH Terms:: Occupational Health*
Sedentary Behavior*
Efficiency/*physiology
Exercise/*physiology
Sleep/*physiology
Accelerometry ; Adult ; Female ; Humans ; Male ; Smartphone ; Time Factors ; Young Adult
References:: Tremblay MS, Aubert S, Barnes JD, et al. Sedentary Behavior Research Network (SBRN) - Terminology Consensus Project process and outcome. Int J Behav Nutr Phys Act. 2017;14(1):75.
Saunders TJ, McIsaac T, Douillette K, Gaulton N, Hunter S, Rhodes RE. Sedentary behaviour and health in adults: an overview of systematic reviews. Appl Physiol Nutr Metab. 2020;45(10):S197-S217.
Woodcock J, Franco OH, Orsini N, Roberts I. Non-vigorous physical activity and all-cause mortality: systematic review and meta-analysis of cohort studies. Int J Epidemiol. 2011;40(1):121-138.
Itani O, Jike M, Watanabe N, Kaneita Y. Short sleep duration and health outcomes: a systematic review, meta-analysis, and meta-regression. Sleep Med. 2017;32:246-256.
Rosenberger ME, Fulton JE, Buman MP, et al. The 24-hour activity cycle: a new paradigm for physical activity. Med Sci Sports Exerc. 2019;51(3):454-464.
Thorp AA, Healy GN, Winkler E, et al. Prolonged sedentary time and physical activity in workplace and non-work contexts: a cross-sectional study of office, customer service and call centre employees. Int J Behav Nutr Phys Act. 2012;9:128.
Peterman JE, Healy GN, Winkler EA, et al. A cluster randomized controlled trial to reduce office workers’ sitting time: effect on productivity outcomes. Scand J Work Environ Health. 2019;45(5):483-492.
Edwardson CL, Yates T, Biddle SJH, et al. Effectiveness of the stand more at (SMArT) work intervention: cluster randomised controlled trial. BMJ. 2018;363:k3870.
Lusa S, Punakallio A, Mänttäri S, et al. Interventions to promote work ability by increasing sedentary workers’ physical activity at workplaces - a scoping review. Appl Ergon. 2020;82:102962.
Ishibashi Y, Shimura A. Association between work productivity and sleep health: a cross-sectional study in Japan. Sleep Health. 2020;6(3):270-276. https://doi.org/10.1016/j.sleh.2020.02.016.
Castro O, Bennie J, Vergeer I, Bosselut G, Biddle SJH. How sedentary are university students? A systematic review and meta-analysis. Prev Sci. 2020;21(3):332-343.
Castro O, Vergeer I, Bennie J, Cagas J, Biddle SJH. Using the behavior change wheel to understand university students’ prolonged sitting time and identify potential intervention strategies. Int J Behav Med. 2021;28(3):360-371. https://doi.org/10.1007/s12529-020-09926-0.
Nowak PF, Bożek A, Blukacz M. Physical activity, sedentary behavior, and quality of life among university students. Biomed Res Int. 2019; ;2019:1-10.
Haverkamp BF, Wiersma R, Vertessen K, van Ewijk H, Oosterlaan J, Hartman E. Effects of physical activity interventions on cognitive outcomes and academic performance in adolescents and young adults: A meta-analysis. J Sports Sci. 2020;38(23):2637-2660. https://doi.org/10.1080/02640414.2020.1794763.
El Ansari W, Stock C. Is the health and wellbeing of university students associated with their academic performance? Cross sectional findings from the United Kingdom. Int J Environ Res Public Health. 2010;7(2):509-527.
Ilmarinen J, Past TK. Present and future of work ability. In: Proceedings of the 1st International Symposium on Work Ability. Tampere (Finland): Finnish Institute of Occupational Health; 2014:1-25.
Tuomi K, Ilmarinen J, Seitsamo J, et al. Summary of the Finnish research project (1981-1992) to promote the health and work ability of aging workers. Scand J Work Environ Health. 1997;23(Suppl 1):66-71.
Reeuwijk KG, Robroek SJW, Niessen MAJ, Kraaijenhagen RA, Vergouwe Y, Burdorf A. The prognostic value of the work ability index for sickness absence among office workers. PLoS ONE. 2015;10(5):e0126969.
Kinnunen U, Nätti J. Work ability score and future work ability as predictors of register-based disability pension and long-term sickness absence: a three-year follow-up study. Scand J Public Health. 2018;46(3):321-330.
van den Berg TIJ, Elders LAM, de Zwart BCH, Burdorf A. The effects of work-related and individual factors on the Work Ability Index: a systematic review. Occup Environ Med. 2009;66(4):211-220.
Lappalainen K, Manninen P, Räsänen K. Association among sociodemograhic factors, work ability, health behavior, and mental health status for young people after prolonged unemployment. Workplace Health Saf. 2017;65(2):65-73.
Gilson ND, Burton NW, van Uffelen JGZ, Brown WJ. Occupational sitting time: employees’ perceptions of health risks and intervention strategies. Health Promot J Austr. 2011;22(1):38-43.
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.
Tobin R, Leavy J, Jancey J. Uprising: an examination of sit-stand workstations, mental health and work ability in sedentary office workers, Western Australia. Work. 2016;55(2):359-371.
Pedersen ESL, Danquah IH, Petersen CB, Tolstrup JS. Intra-individual variability in day-to-day and month-to-month measurements of physical activity and sedentary behaviour at work and in leisure-time among Danish adults. BMC Public Health. 2016;16(1):1222.
Giurgiu M, Koch ED, Ottenbacher J, Plotnikoff RC, Ebner-Priemer UW, Reichert M. Sedentary behavior in everyday life relates negatively to mood: an ambulatory assessment study. Scand J Med Sci Sports. 2019;29(9):1340-1351.
Delespaul PAEG. Assessing schizophrenia in daily life: the experience sampling method. Maastricht: Datawyse/Universitaire Pers Maastricht; 1995.
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(9):1821-1845.
Barouni A, Ottenbacher J, Schneider J, et al. Ambulatory sleep scoring using accelerometers-distinguishing between nonwear and sleep/wake states. PeerJ. 2020;8:e8284. https://doi.org/10.7717/peerj.8284.
Anastasopoulou P, Tubic M, Schmidt S, Neumann R, Woll A, Härtel S. Validation and comparison of two methods to assess human energy expenditure during free-living activities. PLoS ONE. 2014;9(2):e90606. https://doi.org/10.1371/journal.pone.0090606.
Giurgiu M, Bussmann JBJ, Hill H, et al. Validating accelerometers for the assessment of body position and sedentary behaviour. Journal for the Measurement of Physical Behaviour. 2020;3(3):253-263.
Giurgiu M, Niermann C, Ebner-Priemer U, Kanning M. Accuracy of sedentary behavior-triggered ecological momentary assessment for collecting contextual information: development and feasibility study. JMIR Mhealth Uhealth. 2020;8(9):e17852. https://doi.org/10.2196/17852.
Ebner-Priemer UW, Koudela S, Mutz G, Kanning M. Interactive multimodal ambulatory monitoring to investigate the association between physical activity and affect. Front. Psychol. 2013;3:596.
Hasselhorn HM, Freude G. Der Work-ability-Index: Ein Leitfaden. Bremerhaven: Wirtschaftsverl. NW, Verlag für Neue Wiss; 2007.
El Fassi M, Bocquet V, Majery N, Lair ML, Couffignal S, Mairiaux P. Work ability assessment in a worker population: comparison and determinants of Work Ability Index and Work Ability score. BMC Public Health. 2013;13(1):305.
Vänni K, Virtanen P, Luukkaala T, Nygård C-H. Relationship between perceived work ability and productivity loss. Int J Occup Saf Ergon. 2012;18(3):299-309.
Hoffman L. Longitudinal analysis: Modeling within-person fluctuation and change. New York: Routledge; 2015:340-341.
Hox JJ. Multilevel analysis, 2nd edn. New York: Routledge; 2010:392.
Arend MG, Schäfer T. Statistical power in two-level models: A tutorial based on Monte Carlo simulation. Psychol Methods. 2019;24(1):1-19.
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):590-597.
Dutta N, Walton T, Pereira MA. Experience of switching from a traditional sitting workstation to a sit-stand workstation in sedentary office workers. Work. 2015;52(1):83-89.
Biddle SJH. Physical activity and mental health: evidence is growing. World Psychiatry. 2016;15(2):175-176.
National Sleep Foundation. Sleep in America Poll. https://www.sleepfoundation.org/sites/default/files/inline-files/2002SleepInAmericaPoll.pdf. Accessed December, 22.
Hafner M, Stepanek M, Taylor J, Troxel WM, van Stolk C. Why sleep matters-the economic costs of insufficient sleep: a cross-country comparative analysis. Rand Health Q. 2017;6(4):11.
Marklund S, Mienna CS, Wahlström J, Englund E, Wiesinger B. Work ability and productivity among dentists: associations with musculoskeletal pain, stress, and sleep. Int Arch Occup Environ Health. 2020;93(2):271-278.
Gupta N, Rasmussen CL, Holtermann A, Mathiassen SE. Time-based data in occupational studies: the whys, the hows, and some remaining challenges in compositional data analysis (CoDA). Ann Work Expo Health. 2020;64(8):778-785.
Susser M. What is a cause and how do we know one? A grammar for pragmatic epidemiology. Am J Epidemiol. 1991;133(7):635-648.
Myin-Germeys I, Klippel A, Steinhart H, Reininghaus U. Ecological momentary interventions in psychiatry. Curr Opin Psychiatry. 2016;29(4):258-263.
Geldhof GJ, Preacher KJ, Zyphur MJ. Reliability estimation in a multilevel confirmatory factor analysis framework. Psychol Methods. 2014;19(1):72-91.
Contributed Indexing:: Keywords: accelerometry; ambulatory assessment; physical behavior; self-perceived work ability
Entry Date(s):: Date Created: 20210625 Date Completed: 20210920 Latest Revision: 20210920
Update Code:: 20240105
DOI:: 10.1111/sms.14005
PMID:: 34170563
: Czasopismo naukowe

Full Text Finder

Physical behavior (ie, physical activity, sedentary behavior, and sleep) is a crucial lifestyle factor for preventing and managing diseases across the lifespan. However, less is known about potential work-related psychological and cognitive outcomes such as productivity. The present study examined within-person associations between physical behavior and self-perceived work ability. To investigate the degree to which physical behavior parameters influence self-perceived work ability in everyday life, we conducted an Ambulatory Assessment study in 103 university students over 5 days. Physical behavior was assessed continuously via a multi-sensor system. Self-perceived work ability was assessed repeatedly up to six times per day on smartphones. We employed multilevel modeling to analyze the within-person effects of physical behavior on self-perceived work ability. Physical activity intensity (MET) (β = 0.15 ± 0.06, t = 2.59, p = 0.012) and sit-to-stand transitions (β = 0.07 ± 0.03, t = 2.44, p = 0.015) were positively associated with self-perceived work ability. Sedentary bouts (≥20 min) (β = -0.21 ± 0.08, t = -2.74, p = 0.006) and deviation from a recommended sleep duration (ie, 8 h) (β = -0.1 ± 0.04, t = -2.38, p = 0.018) were negatively associated with self-perceived work ability. Exploratory analyses supported the robustness of our findings by comparing various time frames. Total sedentary time and sleep quality were not associated with self-perceived work ability. Regular sleep durations, breaking up sedentary time through sit-to-stand transitions, and higher intensities of physical activity may be important for the regulation of self-perceived work ability in university students' daily lives.
(© 2021 The Authors. Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.)

Informacja