Sedentary Work in Desk-Dominated Environments: A Data-Driven Intervention Using Intervention Mapping

Overview

Journal JMIR Form Res

Publisher JMIR Publications

Specialty Biomedical Engineering

Date 2020 Jul 25

PMID 32706695

Citations 8

Authors

Nathalie M Berninger

Gill A Ten Hoor

Guy Plasqui

Gerjo Kok

Gjalt-Jorn Ygram Peters

Robert A C Ruiter

Affiliations

Soon will be listed here.

Abstract

Background: Since desk-dominated work environments facilitate sedentary behavior, office workers sit for 66% of their working days and only 8% succeed in interrupting their prolonged periods of sitting within the first 55 minutes. Yet stretches of long and uninterrupted sitting increase the likelihood of several chronic metabolic and cardiovascular diseases.

Objective: We therefore developed a computer-based app designed to interrupt periods of prolonged sitting among office employees.

Methods: When developing the intervention, we applied the intervention mapping protocol. This approach for the systematic design of theory and evidence-based behavior change programs consists of 6 steps: creation of a logic model of the problem, creation of a logic model of change, program design, program production, design of an implementation plan, and development of an evaluation plan.

Results: Working through all 6 steps has resulted in an individually adaptable intervention to reduce sedentary behavior at work. The intervention, UPcomplish, consists of tailored, half-automatized motivational components delivered by a coach. To register sedentary behavior, the VitaBit (VitaBit Software International BV) toolkit, a wearable accelerometry-based monitoring device, is used. Among others, UPcomplish includes personalized goal setting, tailored suggestions to overcome hurdles, and weekly challenges. The VitaBit toolkit supports the participants to monitor their behavior in relation to self-set goals.

Conclusions: Intervention mapping is a useful protocol not only for the systematic development of a comprehensive intervention to reduce sedentary behavior but also for planning program adherence, program implementation, and program maintenance. It facilitates obtaining the participation of relevant stakeholders at different ecological levels in the development process of the intervention and anticipating facilitators to and barriers of program implementation and maintenance.

Trial Registration: Netherlands Trial Register NL7503; https://www.trialregister.nl/trial/7503.

Citing Articles

Increasing Prevention of Mother to Child Transmission (PMTCT) Uptake through Facility-Based Health Promotion: Intervention Development.

Elsheikh I, Crutzen R, Adam I, Abdelraheem S, Van den Borne H Behav Sci (Basel). 2023; 13(4).

PMID: 37102831 PMC: 10135809. DOI: 10.3390/bs13040317.

Moderators of the Effectiveness of UPcomplish on Office Workers' Sedentary Behaviour, Quality of Life, and Psychosocial Determinants: A Stepped Wedge Design.

Berninger N, Crutzen R, Ruiter R, Kok G, Plasqui G, Ten Hoor G Int J Behav Med. 2023; 30(6):849-866.

PMID: 36720773 PMC: 10713801. DOI: 10.1007/s12529-022-10147-w.

Acyclic behavior change diagrams: a tool to report and analyze interventions.

Metz G, Peters G, Crutzen R Health Psychol Behav Med. 2022; 10(1):1216-1228.

PMID: 36518605 PMC: 9744208. DOI: 10.1080/21642850.2022.2149930.

Developing the "Choosing Health" Digital Weight Loss and Maintenance Intervention: Intervention Mapping Study.

Palacz-Poborczyk I, Idziak P, Januszewicz A, Luszczynska A, Quested E, Naughton F J Med Internet Res. 2022; 24(10):e34089.

PMID: 36256827 PMC: 9627465. DOI: 10.2196/34089.

The Effects of UPcomplish on Office Workers' Sedentary Behaviour, Quality of Life and Psychosocial Determinants: A Stepped-Wedge Design.

Berninger N, Plasqui G, Crutzen R, Ruiter R, Kok G, Ten Hoor G Int J Behav Med. 2022; 29(6):728-742.

PMID: 35099779 PMC: 9684295. DOI: 10.1007/s12529-022-10054-0.

References

Montag C, Duke E, Markowetz A . Toward Psychoinformatics: Computer Science Meets Psychology. Comput Math Methods Med. 2016; 2016:2983685. PMC: 4923556. DOI: 10.1155/2016/2983685. View

Chau J, van der Ploeg H, Merom D, Chey T, Bauman A . Cross-sectional associations between occupational and leisure-time sitting, physical activity and obesity in working adults. Prev Med. 2012; 54(3-4):195-200. DOI: 10.1016/j.ypmed.2011.12.020. View

Hagger M, Luszczynska A, de Wit J, Benyamini Y, Burkert S, Chamberland P . Implementation intention and planning interventions in Health Psychology: Recommendations from the Synergy Expert Group for research and practice. Psychol Health. 2016; 31(7):814-39. DOI: 10.1080/08870446.2016.1146719. View

Ball K, Bauman A, Leslie E, Owen N . Perceived environmental aesthetics and convenience and company are associated with walking for exercise among Australian adults. Prev Med. 2001; 33(5):434-40. DOI: 10.1006/pmed.2001.0912. View

Stephenson A, McDonough S, Murphy M, Nugent C, Mair J . Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2017; 14(1):105. PMC: 5553917. DOI: 10.1186/s12966-017-0561-4. View

Pandey A, Salahuddin U, Garg S, Ayers C, Kulinski J, Anand V . Continuous Dose-Response Association Between Sedentary Time and Risk for Cardiovascular Disease: A Meta-analysis. JAMA Cardiol. 2016; 1(5):575-83. DOI: 10.1001/jamacardio.2016.1567. View

McNeill L, Kreuter M, Subramanian S . Social environment and physical activity: a review of concepts and evidence. Soc Sci Med. 2006; 63(4):1011-22. DOI: 10.1016/j.socscimed.2006.03.012. View

Giles-Corti B, Donovan R . Relative influences of individual, social environmental, and physical environmental correlates of walking. Am J Public Health. 2003; 93(9):1583-9. PMC: 1448014. DOI: 10.2105/ajph.93.9.1583. View

De Cocker K, De Bourdeaudhuij I, Cardon G, Vandelanotte C . Theory-driven, web-based, computer-tailored advice to reduce and interrupt sitting at work: development, feasibility and acceptability testing among employees. BMC Public Health. 2015; 15:959. PMC: 4583215. DOI: 10.1186/s12889-015-2288-y. View

10.

Hall P, Fong G . Temporal self-regulation theory: a neurobiologically informed model for physical activity behavior. Front Hum Neurosci. 2015; 9:117. PMC: 4373277. DOI: 10.3389/fnhum.2015.00117. View

11.

van der Berg J, Stehouwer C, Bosma H, van der Velde J, Willems P, Savelberg H . Associations of total amount and patterns of sedentary behaviour with type 2 diabetes and the metabolic syndrome: The Maastricht Study. Diabetologia. 2016; 59(4):709-18. PMC: 4779127. DOI: 10.1007/s00125-015-3861-8. View

12.

Broekhuizen K, Kroeze W, Van Poppel M, Oenema A, Brug J . A systematic review of randomized controlled trials on the effectiveness of computer-tailored physical activity and dietary behavior promotion programs: an update. Ann Behav Med. 2012; 44(2):259-86. PMC: 3442159. DOI: 10.1007/s12160-012-9384-3. View

13.

Wilmot E, Edwardson C, Achana F, Davies M, Gorely T, Gray L . Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012; 55(11):2895-905. DOI: 10.1007/s00125-012-2677-z. View

14.

Crutzen R, Peters G . Evolutionary learning processes as the foundation for behaviour change. Health Psychol Rev. 2017; 12(1):43-57. DOI: 10.1080/17437199.2017.1362569. View

15.

Clemes S, OConnell S, Edwardson C . Office workers' objectively measured sedentary behavior and physical activity during and outside working hours. J Occup Environ Med. 2014; 56(3):298-303. DOI: 10.1097/JOM.0000000000000101. View

16.

Dunstan D, Kingwell B, Larsen R, Healy G, Cerin E, Hamilton M . Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care. 2012; 35(5):976-83. PMC: 3329818. DOI: 10.2337/dc11-1931. View

17.

Healy G, Dunstan D, Salmon J, Cerin E, Shaw J, Zimmet P . Breaks in sedentary time: beneficial associations with metabolic risk. Diabetes Care. 2008; 31(4):661-6. DOI: 10.2337/dc07-2046. View

18.

Hamer M, Stamatakis E . Prospective study of sedentary behavior, risk of depression, and cognitive impairment. Med Sci Sports Exerc. 2013; 46(4):718-23. PMC: 3960356. DOI: 10.1249/MSS.0000000000000156. View

19.

Hendriksen I, Bernaards C, Steijn W, Hildebrandt V . Longitudinal Relationship Between Sitting Time on a Working Day and Vitality, Work Performance, Presenteeism, and Sickness Absence. J Occup Environ Med. 2016; 58(8):784-9. PMC: 4961272. DOI: 10.1097/JOM.0000000000000809. View

20.

Tremblay M, Aubert S, Barnes J, Saunders T, Carson V, Latimer-Cheung A . Sedentary Behavior Research Network (SBRN) - Terminology Consensus Project process and outcome. Int J Behav Nutr Phys Act. 2017; 14(1):75. PMC: 5466781. DOI: 10.1186/s12966-017-0525-8. View