Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on sleep in brain health

LIVE: Thursday 2nd May 2024, 18:00-19:30 (CEST)

Quality sleep is essential for health. But what happens to our brains when sleep patterns are disturbed? Join our experts to explore the interplay between sleep disruption and neurological diseases, and the questions that you need to be asking your patients to help you prevent the harmful effects of sleep deprivation.
ADVANCED SEARCH
Log in
Top
BMC Public Health
Published in: BMC Public Health 1/2015

Open Access 01-12-2015 | Study protocol

Increasing physical activity in office workers – the Inphact Treadmill study; a study protocol for a 13-month randomized controlled trial of treadmill workstations

Authors: Frida Bergman, Carl-Johan Boraxbekk, Patrik Wennberg, Ann Sörlin, Tommy Olsson

Published in: BMC Public Health | Issue 1/2015

Login to get access

Abstract

Background

Sedentary behaviour is an independent risk factor for mortality and morbidity, especially for type 2 diabetes. Since office work is related to long periods that are largely sedentary, it is of major importance to find ways for office workers to engage in light intensity physical activity (LPA). The Inphact Treadmill study aims to investigate the effects of installing treadmill workstations in offices compared to conventional workstations.

Methods/Design

A two-arm, 13-month, randomized controlled trial (RCT) will be conducted. Healthy overweight and obese office workers (n = 80) with mainly sedentary tasks will be recruited from office workplaces in Umeå, Sweden. The intervention group will receive a health consultation and a treadmill desk, which they will use for at least one hour per day for 13 months. The control group will receive the same health consultation, but continue to work at their regular workstations. Physical activity and sedentary time during workdays and non-workdays as well as during working and non-working hours on workdays will be measured objectively using accelerometers (Actigraph and activPAL) at baseline and after 2, 6, 10, and 13 months of follow-up. Food intake will be recorded and metabolic and anthropometric variables, body composition, stress, pain, depression, anxiety, cognitive function, and functional magnetic resonance imaging will be measured at 3–5 time points during the study period. Interviews with participants from the intervention group will be performed at the end of the study.

Discussion

This will be the first long-term RCT on the effects of treadmill workstations on objectively measured physical activity and sedentary time as well as other body functions and structures/morphology during working and non-working hours among office workers. This will provide further insight on the effects of active workstations on our health and could fill in some of the knowledge gaps regarding how we can reduce sedentary time in office environments.

Trial registration

ClinicalTrials.gov Identifier NCT01997970, 2nd Nov 2013.
Literature
1.
Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, et al. Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012;55(11):2895–905.CrossRefPubMed
2.
Network SBR. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab. 2012;37(3):540–2.CrossRef
3.
Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med. 2015;162(2):123–32.CrossRefPubMed
4.
Villablanca PA, Alegria JR, Mookadam F, Holmes Jr DR, Wright RS, Levine JA. Nonexercise Activity Thermogenesis in Obesity Management. Mayo Clin Proc. 2015;90(4):509–19.CrossRefPubMed
5.
Levine JA. Nonexercise activity thermogenesis - liberating the life-force. J Intern Med. 2007;262(3):273–87.CrossRefPubMed
6.
Church TS, Thomas DM, Tudor-Locke C, Katzmarzyk PT, Earnest CP, Rodarte RQ, et al. Trends over 5 decades in U.S. occupation-related physical activity and their associations with obesity. PLoS One. 2011;6(5):e19657.CrossRefPubMedPubMedCentral
7.
Ryan CG, Dall PM, Granat MH, Grant PM. Sitting patterns at work: objective measurement of adherence to current recommendations. Ergonomics. 2011;54(6):531–8.CrossRef
8.
Thorp AA, Healy GN, Winkler E, Clark BK, Gardiner PA, Owen N, 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.CrossRefPubMedPubMedCentral
9.
Toomingas A, Forsman M, Mathiassen SE, Heiden M, Nilsson T. Variation between seated and standing/walking postures among male and female call centre operators. BMC Public Health. 2012;12:154.CrossRefPubMedPubMedCentral
10.
11.
12.
Torbeyns T, Bailey S, Bos I, Meeusen R. Active workstations to fight sedentary behaviour. Sports Med. 2014;44(9):1261–73.CrossRefPubMed
13.
Thompson WG, Foster RC, Eide DS, Levine JA. Feasibility of a walking workstation to increase daily walking. Br J Sports Med. 2008;42(3):225–8.CrossRefPubMed
14.
Thompson WG, Koepp GA, Levine JA. Increasing physician activity with treadmill desks. Work. 2014;48(1):47–51.PubMed
15.
John D, Thompson DL, Raynor H, Bielak K, Rider B, Bassett DR. Treadmill workstations: a worksite physical activity intervention in overweight and obese office workers. J Phys Act Health. 2011;8(8):1034–43.CrossRefPubMed
16.
Koepp GA, Manohar CU, McCrady-Spitzer SK, Ben-Ner A, Hamann DJ, Runge CF, et al. Treadmill desks: A 1-year prospective trial. Obesity. 2013;21(4):705–11.CrossRefPubMed
17.
Ben-Ner A, Hamann DJ, Koepp G, Manohar CU, Levine J. Treadmill workstations: the effects of walking while working on physical activity and work performance. PLoS One. 2014;9(2):e88620.CrossRefPubMedPubMedCentral
18.
Shrestha N, Ijaz S, Kukkonen-Harjula KT, Kumar S, Nwankwo CP. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev. 2015;1:CD010912.PubMed
19.
Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc. 2009;41(5):998–1005.CrossRefPubMed
20.
Owen N, Sugiyama T, Eakin EE, Gardiner PA, Tremblay MS, Sallis JF. Adults’ sedentary behavior determinants and interventions. Am J Prev Med. 2011;41(2):189–96.CrossRefPubMed
21.
Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002;52(2):69–77.CrossRefPubMed
22.
Glise K, Hadzibajramovic E, Jonsdottir IH, Ahlborg Jr G. Self-reported exhaustion: a possible indicator of reduced work ability and increased risk of sickness absence among human service workers. Int Arch Occup Environ Health. 2010;83(5):511–20.CrossRefPubMed
23.
Chau JY, van der Ploeg HP, Dunn S, Kurko J, Bauman AE. A tool for measuring workers’ sitting time by domain: the Workforce Sitting Questionnaire. Br J Sports Med. 2011;45(15):1216–22.CrossRefPubMed
24.
Grant PM, Ryan CG, Tigbe WW, Granat MH. The validation of a novel activity monitor in the measurement of posture and motion during everyday activities. Br J Sports Med. 2006;40(12):992–7.CrossRefPubMedPubMedCentral
25.
Ryan CG, Grant PM, Tigbe WW, Granat MH. The validity and reliability of a novel activity monitor as a measure of walking. Br J Sports Med. 2006;40(9):779–84.CrossRefPubMedPubMedCentral
26.
Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc. 2011;43(8):1561–7.CrossRefPubMed
27.
Lyden K, Kozey Keadle SL, Staudenmayer JW, Freedson PS. Validity of two wearable monitors to estimate breaks from sedentary time. Med Sci Sports Exerc. 2012;44(11):2243–52.CrossRefPubMedPubMedCentral
28.
Von Korff M, Ormel J, Keefe FJ, Dworkin SF. Grading the severity of chronic pain. Pain. 1992;50(2):133–49.CrossRef
29.
Smith BH, Penny KI, Purves AM, Munro C, Wilson B, Grimshaw J, et al. The Chronic Pain Grade questionnaire: validation and reliability in postal research. Pain. 1997;71(2):141–7.CrossRefPubMed
30.
Von Korff M. Assessment of chronic pain in epidemiological and health services research. In: Turk DC, Melzack R, editors. Handbook of pain assessment. 3rd ed. New York: Guilford Publications, Inc; 2011. p. 455–73.
31.
Kjellberg A, Wadman C. Subjective stress and its relation to psychosocial work conditions and health complaints. A test of the Stress-Energy model. In: Arbete och Hälsa. Stockholm: National Institute for Working Life; 2002.
32.
MacLeod CM. Learning a list for free recall: selective reminding versus the standard procedure. Mem Cognit. 1985;13(3):233–40.CrossRefPubMed
33.
Dahlin E, Nyberg L, Bäckman L, Neely AS. Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance. Psychol Aging. 2008;23(4):720–30.CrossRefPubMed
34.
Eriksen BA, Eriksen CW. Effects of noise letters upon the identification of a target letter in a nonsearch task. Percept Psychophys. 1974;16(1):143–9.CrossRef
35.
Wechsler D. WAIS IV: Wechsler Adult Intelligence Scale. 4th ed. USA: Nyman, H. NCS Pearson Inc; 2010.
36.
Delis DC, Kaplan E, Kramer JH. Delis-Kaplan Executive Function system (D-KEFS) technical manual. San Antonio, TX: The psychological corporation; 2001.
37.
Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, et al. Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci U S A. 2011;108(7):3017–22.CrossRefPubMedPubMedCentral
38.
Salami A, Pudas S, Nyberg L. Elevated hippocampal resting-state connectivity underlies deficient neurocognitive function in aging. Proc Natl Acad Sci U S A. 2014;111(49):17654–9.CrossRefPubMedPubMedCentral
39.
Thompson WG, Levine JA. Productivity of transcriptionists using a treadmill desk. Work. 2011;40(4):473–7.PubMed
40.
Cifuentes M, Qin J, Fulmer S, Bello A. Facilitators and Barriers to Using Treadmill Workstations Under Real Working Conditions: A Qualitative Study in Female Office Workers. Am J Health Promot. 2015. Epub ahead of print
41.
Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, et al. Interindividual variation in posture allocation: possible role in human obesity. Science. 2005;307(5709):584–6.CrossRefPubMed
Metadata
Title
Increasing physical activity in office workers – the Inphact Treadmill study; a study protocol for a 13-month randomized controlled trial of treadmill workstations
Authors
Frida Bergman
Carl-Johan Boraxbekk
Patrik Wennberg
Ann Sörlin
Tommy Olsson
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2015
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-015-2017-6

Other articles of this Issue 1/2015

BMC Public Health 1/2015 Go to the issue

Research article

Increased colorectal cancer incidence in Iran: a systematic review and meta-analysis

Research article

Information and communication technologies for approaching smokers: a descriptive study in primary healthcare

Research article

Epidemiological characteristics and burden of childhood and adolescent injuries: a survey of elementary and secondary students in Xiamen, China

Research article

Evaluation of work-based screening for early signs of alcohol-related liver disease in hazardous and harmful drinkers: the PrevAIL study

Research article

Are area-based initiatives able to improve area safety in deprived areas? A quasi-experimental evaluation of the Dutch District Approach

Research article

Understanding the determinants of under-five child mortality in Uganda including the estimation of unobserved household and community effects using both frequentist and Bayesian survival analysis approaches