Abstract
Background
Research has shown the effectiveness of sedentary behaviour interventions on reducing sedentary time. However, no systematic review has studied where the reduced sedentary time after such interventions is displaced to.
Objective
Our objective was to synthesize the evidence from interventions that have reduced sedentary behaviour and test the displacement of sedentary time into physical activity (light physical activity [LPA], moderate-to-vigorous physical activity [MVPA], standing, and stepping).
Methods
Two independent researchers performed a systematic search of the EBSCOhost, PubMed, Scopus, and Web of Science electronic databases. Meta-analyses were performed to examine the time reallocated from sedentary behaviour to physical activity during working time and the whole day in intervention trials (randomized/non-randomized controlled/non-controlled).
Results
A total of 36 studies met all the eligibility criteria and were included in the systematic review, with 26 studies included in the meta-analysis. Interventions showed a significant overall increase in worksite LPA (effect size [ES] 0.24; 95% confidence interval [CI] 0.05 to 0.43; P < 0.013) and daily LPA (ES 0.62; 95% CI 0.34 to 0.91; P = 0.001). A statistically significant increase in daily MVPA was observed (ES 0.47; 95% CI 0.26 to 0.67; P < 0.001). There was a significant overall increase in worksite standing time (ES 0.76; 95% CI 0.56 to 0.95; P < 0.001), daily standing time (ES 0.52; 95% CI 0.38 to 0.65; P < 0.001), and worksite stepping time (ES 0.12; 95% CI 0.04 to 0.20; P = 0.002).
Conclusions
Effective interventions aimed at reducing sedentary behaviour result in a consistent displacement of sedentary time to LPA and standing time, both at worksites and across the whole day, whereas changes in stepping time or MVPA are dependent on the intervention setting. Strategies to reduce sedentary behaviour should not be limited to worksite settings, and further efforts may be required to promote daily MVPA.
Trial Registration
PROSPERO registration number CRD42020153958.
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References
WHO. WHO Guidelines on physical activity, sedentary behaviour. World Heal. Organ.; 2020.
Rosenberger ME, Fulton JE, Buman MP, Troiano RP, Grandner MA, Buchner DM, et al. The 24-hour activity cycle: a new paradigm for physical activity. Med Sci Sports Exerc. 2019;51:454–64.
Dunstan DW, Kingwell BA, Larsen R, Healy GN, Cerin E, Hamilton MT, et al. Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care. 2012;35:976–83.
Stamatakis E, Rogers K, Ding D, Berrigan D, Chau J, Hamer M, et al. All-cause mortality effects of replacing sedentary time with physical activity and sleeping using an isotemporal substitution model: a prospective study of 201,129 mid-aged and older adults. Int J Behav Nutr Phys Act. 2015;12:121.
del Pozo-Cruz J, García-Hermoso A, Alfonso-Rosa RM, Alvarez-Barbosa F, Owen N, Chastin S, et al. Replacing sedentary time: meta-analysis of objective-assessment studies. Am J Prev Med. 2018;55:395–402.
Meyer JD, Ellingson LD, Buman MP, Shook RP, Hand GA, Blair SN. Current and 1-year psychological and physical effects of replacing sedentary time with time in other behaviors. Am J Prev Med. 2020;59:12–20.
Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6:42.
Shrestha N, Grgic J, Wiesner G, Parker A, Podnar H, Bennie JA, et al. Effectiveness of interventions for reducing non-occupational sedentary behaviour in adults and older adults: a systematic review and meta-analysis. Br J Sports Med. 2019;53:1206–13.
Martin A, Fitzsimons C, Jepson R, Saunders DH, van der Ploeg HP, Teixeira PJ, et al. Interventions with potential to reduce sedentary time in adults: systematic review and meta-analysis. Br J Sports Med. 2015;49:1056–63.
Gardner B, Smith L, Lorencatto F, Hamer M, Biddle SJH. How to reduce sitting time? A review of behaviour change strategies used in sedentary behaviour reduction interventions among adults. Health Psychol Rev. 2016;10:89–112.
Chu AHY, Ng SHX, Tan CS, Win AM, Koh D, Müller-Riemenschneider F. A systematic review and meta-analysis of workplace intervention strategies to reduce sedentary time in white-collar workers. Obes Rev. 2016;17:467–81.
Biddle SJH, Petrolini I, Pearson N. Interventions designed to reduce sedentary behaviours in young people: a review of reviews. Br J Sports Med. 2014;48:182–6.
Mansoubi M, Pearson N, Biddle SJH, Clemes SA. Using Sit-to-stand workstations in offices: is there a compensation effect? Med Sci Sports Exerc. 2016;48:720–5.
Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097.
Armijo-Olivo S, Stiles CR, Hagen NA, Biondo PD, Cummings GG. Assessment of study quality for systematic reviews: a comparison of the Cochrane Collaboration Risk of Bias Tool and the Effective Public Health Practice Project Quality Assessment Tool: methodological research. J Eval Clin Pract. 2012;18:12–8.
Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46:81–95.
Michie S, Wood CE, Johnston M, Abraham C, Francis JJ, Hardeman W. Behaviour change techniques: the development and evaluation of a taxonomic method for reporting and describing behaviour change interventions (a suite of five studies involving consensus methods, randomised controlled trials and analysis of qualitative da. Health Technol Assess. 2015;19:1–188.
Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–58.
Morton SC, Murad MH, O’Connor E, Lee CS, Booth M, Vandermeer BW, et al. Quantitative synthesis—an update. 2018;
Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ WV (editors). Cochrane handbook for systematic reviews of interventions version 6.1 (updated September 2020). Cochrane. 2020. www.training.cochrane.org/handbook.
Bond DS, Thomas JG, Raynor HA, Moon J, Sieling J, Trautvetter J, et al. B-MOBILE–a smartphone-based intervention to reduce sedentary time in overweight/obese individuals: a within-subjects experimental trial. PLoS ONE. 2014;9:e100821.
Greenhalgh T, Peacock R. Effectiveness and efficiency of search methods in systematic reviews of complex evidence: Audit of primary sources. Br Med J. 2005;331:1064–5.
Carr LJ, Karvinen K, Peavler M, Smith R, Cangelosi K. Multicomponent intervention to reduce daily sedentary time: a randomised controlled trial. BMJ Open. 2013;3:e003261.
Siddique J, de Chavez PJ, Craft LL, Freedson P, Spring B. The effect of changes in physical activity on sedentary behavior: results from a randomized lifestyle intervention trial. Am J Health Promot. 2017;31:287–95.
Aittasalo M, Livson M, Lusa S, Romo A, Vähä-Ypyä H, Tokola K, et al. Moving to business—changes in physical activity and sedentary behavior after multilevel intervention in small and medium-size workplaces. BMC Public Health. 2017;17:319.
Mitchell BL, Smith AE, Rowlands AV, Fraysse F, Parfitt G, Lewis NR, et al. Promoting physical activity in rural Australian adults using an online intervention. J Sci Med Sport. 2019;22:70–5.
Mailey EL, Rosenkranz SK, Casey K, Swank A. Comparing the effects of two different break strategies on occupational sedentary behavior in a real world setting: a randomized trial. Prev Med reports. 2016;4:423–8.
Swartz AM, Cho CC, Welch WA, Widlansky ME, Maeda H, Strath SJ. Pattern analysis of sedentary behavior change after a walking intervention. Am J Health Behav. 2018;42:90–101.
Swartz AM, Rote AE, Cho YI, Welch WA, Strath SJ. Responsiveness of motion sensors to detect change in sedentary and physical activity behaviour. Br J Sports Med. 2014;48:1043–7.
Kendzor DE, Shuval K, Gabriel KP, Businelle MS, Ma P, High RR, et al. Impact of a mobile phone intervention to reduce sedentary behavior in a community sample of adults: a quasi-experimental evaluation. J Med Internet Res. 2016;18:e19.
Gardiner PA, Eakin EG, Healy GN, Owen N. Feasibility of reducing older adults’ sedentary time. Am J Prev Med. 2011;41:174–7.
Koepp GA, Manohar CU, McCrady-Spitzer SK, Ben-Ner A, Hamann DJ, Runge CF, et al. Treadmill desks: a 1-year prospective trial. Obesity (Silver Spring). 2013;21:705–11.
Rosenberg DE, Gell NM, Jones SMW, Renz A, Kerr J, Gardiner PA, et al. The feasibility of reducing sitting time in overweight and obese older adults. Health Educ Behav. 2015;42:669–76.
Overgaard K, Nannerup K, Lunen MKB, Maindal HT, Larsen RG. Exercise more or sit less? A randomized trial assessing the feasibility of two advice-based interventions in obese inactive adults. J Sci Med Sport. 2018;21:708–13.
Parry S, Straker L, Gilson ND, Smith AJ. Participatory workplace interventions can reduce sedentary time for office workers—a randomised controlled trial. PLoS ONE. 2013;8:e78957.
Barwais FA, Cuddihy TF. Empowering sedentary adults to reduce sedentary behavior and increase physical activity levels and energy expenditure: a pilot study. Int J Environ Res Public Health. 2015;12:414–27.
Koltyn KF, Crombie KM, Brellenthin AG, Leitzelar B, Ellingson LD, Renken J, et al. Intervening to reduce sedentary behavior in older adults—pilot results. Heal Promot Perspect. 2019;9:71–6.
Edwardson CL, Yates T, Biddle SJH, Davies MJ, Dunstan DW, Esliger DW, et al. Effectiveness of the Stand More AT (SMArT) Work intervention: cluster randomised controlled trial. BMJ. 2018;363:k3870.
Li I, Mackey MG, Foley B, Pappas E, Edwards K, Chau JY, et al. Reducing office workers’ sitting time at work using sit-stand protocols: results from a pilot randomized controlled trial. J Occup Environ Med. 2017;59:543–9.
Chau JY, Daley M, Dunn S, Srinivasan A, Do A, Bauman AE, et al. The effectiveness of sit-stand workstations for changing office workers’ sitting time: results from the Stand@Work randomized controlled trial pilot. Int J Behav Nutr Phys Act. 2014;11:127.
Healy GN, Eakin EG, Owen N, Lamontagne AD, Moodie M, Winkler EAH, et al. A cluster randomized controlled trial to reduce office workers’ sitting time: effect on activity outcomes. Med Sci Sports Exerc. 2016;48:1787–97.
Júdice PB, Hamilton MT, Sardinha LB, Silva AM. Randomized controlled pilot of an intervention to reduce and break-up overweight/obese adults’ overall sitting-time. Trials. 2015;16:490.
Brakenridge CL, Fjeldsoe BS, Young DC, Winkler EAH, Dunstan DW, Straker LM, et al. Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers’ sitting time: a cluster-randomised trial. Int J Behav Nutr Phys Act. 2016;13:115.
Tobin R, Leavy J, Jancey J. Uprising: An examination of sit-stand workstations, mental health and work ability in sedentary office workers, in Western Australia. Work. 2016;55:359–71.
Neuhaus M, Healy GN, Dunstan DW, Owen N, Eakin EG. Workplace sitting and height-adjustable workstations: a randomized controlled trial. Am J Prev Med. 2014;46:30–40.
Arrogi A, Bogaerts A, Seghers J, Devloo K, Vanden Abeele V, Geurts L, et al. Evaluation of stAPP: a smartphone-based intervention to reduce prolonged sitting among Belgian adults. Health Promot Int. 2019;34:16–27.
Kerr J, Takemoto M, Bolling K, Atkin A, Carlson J, Rosenberg D, et al. Two-arm randomized pilot intervention trial to decrease sitting time and increase sit-to-stand transitions in working and non-working older adults. PLoS ONE. 2016;11:e0145427.
Larouche ML, Mullane SL, Toledo MJL, Pereira MA, Huberty JL, Ainsworth BE, et al. Using point-of-choice prompts to reduce sedentary behavior in sit-stand workstation users. Front public Heal. 2018;6:323.
Dewitt S, Hall J, Smith L, Buckley JP, Biddle SJH, Mansfield L, et al. Office workers’ experiences of attempts to reduce sitting-time: an exploratory, mixed-methods uncontrolled intervention pilot study. BMC Public Health. 2019;19:819.
Danquah IH, Kloster S, Holtermann A, Aadahl M, Bauman A, Ersbøll AK, et al. Take a Stand!-a multi-component intervention aimed at reducing sitting time among office workers-a cluster randomized trial. Int J Epidemiol. 2017;46:128–40.
Fitzsimons CF, Kirk A, Baker G, Michie F, Kane C, Mutrie N. Using an individualised consultation and activPAL™ feedback to reduce sedentary time in older Scottish adults: results of a feasibility and pilot study. Prev Med (Baltim). 2013;57:718–20.
Lewis LK, Rowlands AV, Gardiner PA, Standage M, English C, Olds T. Small steps: preliminary effectiveness and feasibility of an incremental goal-setting intervention to reduce sitting time in older adults. Maturitas. 2016;85:64–70.
Kozey-Keadle S, Libertine A, Staudenmayer J, Freedson P. The feasibility of reducing and measuring sedentary time among overweight, non-exercising office workers. J Obes. 2012;2012:282303.
Healy GN, Eakin EG, Lamontagne AD, Owen N, Winkler EAH, Wiesner G, et al. Reducing sitting time in office workers: short-term efficacy of a multicomponent intervention. Prev Med (Baltim). 2013;57:43–8.
MacEwen BT, Saunders TJ, MacDonald DJ, Burr JF. Sit-stand desks to reduce workplace sitting time in office workers with abdominal obesity: a randomized controlled trial. J Phys Act Health. 2017;14:710–5.
Alkhajah TA, Reeves MM, Eakin EG, Winkler EAH, Owen N, Healy GN. Sit-stand workstations: a pilot intervention to reduce office sitting time. Am J Prev Med. 2012;43:298–303.
Nguyen P, Le LK-D, Nguyen D, Gao L, Dunstan DW, Moodie M. The effectiveness of sedentary behaviour interventions on sitting time and screen time in children and adults: an umbrella review of systematic reviews. Int J Behav Nutr Phys Act. 2020;17:117.
Clemes SA, O'Connell SE, Edwardson CL. Office workers' objectively measured sedentary behavior and physical activity during and outside working hours. J Occup Environ Med. 2014;56:298–303.
Blackburn NE, Wilson JJ, McMullan II, Caserotti P, Giné-Garriga M, Wirth K, et al. The effectiveness and complexity of interventions targeting sedentary behaviour across the lifespan: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2020;17:1–18.
Acknowledgements
The assistance of Dr Tricia Kelly (University of Southern Queensland) with the literature searches is gratefully acknowledged.
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Funding
VS-J was funded by Instituto de Salud Carlos III through the fellowship CP20/00178 co-funded by European Social Fund and has received funding from the Ministry of Science, Innovation and Universities with the José Castillejo grant no. CAS19/00395. BG-C has received funding from the Ministry of Science, Innovation and Universities with the FPU-fellow Mobility Grant no. EST 18/00486.
Conflicts of interest
Víctor Segura-Jiménez, Stuart Biddle, Katrien De Cocker, Shahjahan Khan, and Blanca Gavilán-Carrera have no conflicts of interest that are directly relevant to the content of this review.
Availability of data and material
Data were obtained from previously published scientific research and can be obtained from research studies referenced in the current meta-analysis.
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This study did not require research ethics approval because it did not involve human participants or animal subjects.
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Not applicable.
Author contributions
VSJ participated in the conceptualization of the study and contributed to data collection, data analysis, draft preparation, interpretations of the results, writing, review, and editing. BGC contributed to the conceptualization of the study, data collection, interpretation of the results, writing, review, and editing. SJHB and KDC contributed to the conceptualization of the study, interpretation of the results, review, and editing. SK contributed to data analysis, interpretation of the results, and review. All authors read and approved the final version of the manuscript and agree with the order of presentation of the authors.
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40279_2022_1682_MOESM5_ESM.jpeg
Fig. S1. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) sedentary time measured by accelerometry in post vs. pre analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of sedentary time
40279_2022_1682_MOESM6_ESM.jpeg
Fig. S2. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) light physical activity (LPA) measured by accelerometry in post vs. pre analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of LPA
40279_2022_1682_MOESM7_ESM.jpg
Fig. S3. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) moderate-to-vigorous physical activity (MVPA) measured by accelerometry in post vs. pre analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of MVPA
40279_2022_1682_MOESM8_ESM.jpg
Fig. S4. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) sedentary time measured by activPAL accelerometer in post vs. pre analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of sedentary time
40279_2022_1682_MOESM9_ESM.jpg
Fig. S5. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) standing time measured by activPAL accelerometer in post vs. pre analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of standing time
40279_2022_1682_MOESM10_ESM.jpg
Fig. S6. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) stepping time measured by activPAL accelerometer in post vs. pre analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of stepping time
40279_2022_1682_MOESM11_ESM.jpg
Fig. S7. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) sedentary time measured by activPAL accelerometer in exercise vs. control analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of sedentary time
40279_2022_1682_MOESM12_ESM.jpg
Fig. S8. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) standing time measured by activPAL accelerometer in exercise vs. control analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of standing time
40279_2022_1682_MOESM13_ESM.jpg
Fig. S9. Funnel plots to assess publication bias in effects of sedentary behaviour intervention on worksite (a) and whole day (b) stepping time measured by activPAL accelerometer in exercise vs. control analysis included in the meta-analysis. Each white point represents a meta-analysed group. Diagonal lines represent pseudo-95% confidence intervals. In reference of Y axis, studies located at the lower part of the graph have a higher standard error (a lower weight in the pooled analysis). The vertical line represents the calculated estimate effect of stepping time
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Segura-Jiménez, V., Biddle, S.J.H., De Cocker, K. et al. Where Does the Time Go? Displacement of Device-Measured Sedentary Time in Effective Sedentary Behaviour Interventions: Systematic Review and Meta-Analysis. Sports Med 52, 2177–2207 (2022). https://doi.org/10.1007/s40279-022-01682-3
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DOI: https://doi.org/10.1007/s40279-022-01682-3