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Maintenance effects of a multilevel workplace intervention to reduce sedentary time: twenty-four-month follow-up of the group randomized clinical trial ‘Stand and Move at Work’

Abstract

Background

The long-term impact of multilevel workplace sedentary behavior interventions has not been established beyond 12-months. We conducted a 2-arm group randomized trial examining the 24-month efficacy of a multilevel workplace intervention with sit-stand workstations (SSW) relative to the same multilevel intervention with delayed SSW implementation until 12-months.

Methods

Worksites (N = 24 worksites, N = 630 employees) were randomized to participate in Stand and Move at Work and received: (a) STAND + , a 12-month multilevel behavioral intervention targeting reductions in sedentary time and increases in light physical activity (LPA) with SSW delivery during the 12-months or (b) MOVE + , the same multilevel intervention, however with SSW delivery at the end of the 12-month primary assessment period. We present maintenance endpoints (24-month follow-up) of objectively measured sedentary behavior variables as well as cardiometabolic biomarkers of the total sample and an at-risk exploratory dysglycemic (prediabetes or diabetes) subgroup per study arm.

Results

All worksites (N = 24; from academic [n = 8], industry/healthcare [n = 8], and government [n = 8] sectors) were retained and participated in 24-month follow-up data collection. A total of 464 participants (248 STAND + , 216 MOVE + ; 19 ± 6 per worksite; 45.8 ± 10.6 years of age, 73% female) completed the 24-month assessment. At 24 months, the adjusted within-arm difference in sitting was -37.3 (CI:—51.9, -22.7) min per 8 h workday for STAND + and -23.4 (-39.7, -7.0) min per 8 h workday for MOVE + . Findings at 12-months were reproduced at 24-months, in which the majority of reductions in sitting translated to increasing standing with minimal change in LPA. There were no significant changes in cardiometabolic risk within the total sample, while there were some significant changes in triglycerides and blood pressure for the dysglycemic participants.

Conclusions

Multilevel workplace interventions incorporating SSWs have the potential to sustain reductions in workplace sedentary time through 24-months. Further, delayed introduction of SSWs following a 12-month multilevel workplace intervention seem to produce similar sitting time reductions relative to immediate introduction. SSWs are a robust environmental stimulus within multilevel interventions targeting workplace sedentary behavior. A larger sample size is needed to detect concomitant impact on cardiometabolic health.

Trial registration

ClinicalTrials.gov Identifier: NCT02566317. Registered on 2 October 2015, the first participant enrolled 11 January 2016. https://clinicaltrials.gov/ct2/show/NCT02566317. See Consort checklist.

Introduction

The rise in desk-based occupations has led to office workers spending upwards of 70–90% of the workday seated [1], increasing the risk for cardiometabolic disease and premature mortality [2,3,4]. Thus, the workplace has become an opportune environment to target sitting. Research shows that replacing workplace sitting with standing or light-intensity physical activity (LPA) has beneficial implications for cardiometabolic health and may reduce mortality risk [5]. Specifically, several studies have shown that multilevel workplace interventions (i.e., targeting multiple levels of influence such as the individual, physical environment, and organization) coupled with sit-stand workstations (SSW’s) result in reduced workplace sitting time [6,7,8,9]. Moreover, multilevel workplace interventions have the potential to produce clinically meaningful changes in cardiometabolic risk factors among “healthy” workers as well as those at risk for prediabetes or diabetes, largely facilitated by behavior change (e.g., reduced sedentary behavior and increased activity) [9, 10]. However, whether these interventions can facilitate sitting reductions and improved cardiometabolic risk factors to be sustained in the long-term remains largely unknown.

Recent group randomized-controlled trials utilizing a multilevel intervention with SSW’s, demonstrated large reductions in workplace sitting time (45–60 min/8 h workday) between 3- and 12-months follow up [9, 11, 12]. The longest current follow-up period conducted by Zhu et al. [13] observed a decrease in workplace sitting time also of approximately 52.6 min/8 h workday at 18-months follow up. However, this study was limited by lack of randomization and a small sample size [14]. Although these trials resulted in promising short-term reductions immediately following the interventions, several reviews of workplace sedentary behavior reduction interventions have been unable to draw conclusions on long-term effects due to the lack of long-term follow-up periods [15,16,17,18].

To address this gap, this paper presents findings from the Stand & Move at Work (SMW) trial [9, 19], a 12-month multilevel workplace sedentary reduction intervention, to determine long-term follow-up maintenance effects at 24-months. In SMW, worksites were randomized to receive either, (a) STAND + , a multilevel intervention implementing SSW’s simultaneously, or (b) MOVE + , the same multilevel intervention with delayed implementation of SSW’s after completing the 12-month intervention. After a 12-month multilevel workplace intervention, the STAND + group exhibited ~ 60 min/8 h workday reduction in workplace sitting, largely replaced with standing, and exhibited favorable changes in cardiometabolic risk score (CMR) within a dysglycemic sub-sample (i.e., diabetes diagnosis or fasting blood glucose ≥ 100 mg/dL) [9].

The purpose of this current study was to examine the long-term maintenance (24-month) impact on workplace sitting and LPA as well as cardiometabolic risk factors following exposure to a 12-month multilevel intervention with SSWs (i.e., STAND +) and the impact of delayed SSW implementation following 12 months of exposure to a multilevel intervention (i.e., MOVE +).

Methods

Participants

Full worksite and employee eligibility criteria and enrollment strategies have been published [19, 20]. In brief, eligible worksites: (a) were small to moderate in size (i.e., 20 – 60 employees), (b) had > 80% of employees working full time (on-site), (c) had predominately seated desk-based office work with < 10% of SSW users, and (d) were not currently participating in a worksite wellness program targeting sitting or increases in physical activity. Worksite leadership must have exhibited willingness to be randomized to either study arm and have SSW installed at the worksite. Worksites were recruited in the Phoenix, AZ and Minneapolis/St. Paul, MN, USA greater metropolitan regions and were selected using purposive sampling across academic, industry/healthcare, and government sectors. All employees employed at eligible worksites were invited to participate and were enrolled if eligible. To participate, employees had to be 18 years or older and in generally good health with the ability to safely reduce sitting and increase standing and LPA. Institutional Review Board approval was given to the Arizona State University and the University of Minnesota study protocol. All participants signed informed consent prior to baseline.

Study design

Stand & Move at Work (SMW) was a cluster-two-arm group randomized design in which worksites (N = 24) were stratified by workplace sectors (i.e., academic, industry/healthcare, and government) and nested within geographical regions (i.e., Phoenix, AZ and Minneapolis/St. Paul, MN). Study protocol [19] and primary findings [9] have been published elsewhere. A simple randomization procedure was used following stratification among the three sectors (i.e., academic, industry/healthcare, and government) nested within each of the two regions (i.e., Phoenix, AZ and Minneapolis/St. Paul, MN), which was performed by the study biostatistician. Four worksites were enrolled every 2 months between January 2016 and November 2016 to avoid seasonal effects. Workplace activity and cardiometabolic risk factor variables were collected between February and December of 2017 for 12-months, and 24-month (maintenance) outcome data was collected between January and December of 2018.

Worksites were randomized to either STAND + , a multilevel intervention plus SSWs, or MOVE + , the same multilevel intervention with delayed SSW implementation after the 12-month primary outcome assessment. Prior to any data collection, a pragmatic decision in consultation with National Institutes of Health (NIH), was made to provide MOVE + worksites with SSWs immediately following the 12-month assessment, rather than upon completion of the study at 24 months to create balance between the two active interventions arms. That is, both STAND + and MOVE + worksites received the same 12-month multilevel intervention, however the MOVE + worksites did not receive SSWs until after the 12-month intervention was complete (as opposed to STAND + worksites receiving SSWs at baseline). Thus, this unique design allows us to examine within-arm changes between 12- and 24-months in response to a 12-month multilevel intervention with SSWs (i.e., STAND +) as well as the impact of a 12-month multilevel intervention with delayed SSW implementation starting 12 months (MOVE +).

Interventions

The full description of the multilevel intervention is published elsewhere [21]. The SMW interventions were derived from the social ecological model encompassing workplace changes at the organizational/policy (e.g., managerial support), environmental (e.g., signage), social (e.g., contests, role modeling), and individual (e.g., goal setting, education) levels and designed to reduce sitting and increase LPA at work. Worksites were responsible for identifying employee(s) to serve as advocate(s) who were responsible for delivering intervention components and played an active role with study participants. Advocate(s) received training and monthly calls from the research study team and served as the primary contact link between the research study team and worksites. At the start of the study, the MOVE + participants were given a goal of obtaining ≥ 30 min of additional LPA over the course of the workday. The STAND + participants were given this same LPA goal with an additional goal of increasing standing time to 50% of desk-based worktime. It is important to note that the multilevel intervention was intended as a 12-month intervention; advocates were asked to deliver intervention components to the worksites in both study arms from baseline to 12-months. The 12- to 24-month period was intended as a follow-up period for the STAND + study arm, while in the MOVE + study arm SSWs were distributed and participants were given ergonomic advice on how to use their SSWs.

Measures

Demographic variables

Age, race, sex, education, and job type were assessed via an online survey (Qualtrics, Salt Lake City, UT) at baseline.

Workplace sitting time

To assess sitting time at work, the activPAL3c micro accelerometer (PAL Technologies Limited, Glasgow, United Kingdom), a valid measure of posture, was used [22, 23]. To supplement this, a log was sent to participants to determine daily work and nonwork time as well as wake and sleep time. Participants were asked to wear the waterproofed device (i.e., can wear while bathing/water-activities) for seven consecutive days on their right-thigh. Any long bouts of continuous sedentary or standing time exceeding 6 h were classified as non-wear time and excluded from analyses. Any wake periods with ≤ 10 h of wear time or work periods with < 4 h of wear time were also excluded. Sleep logs provided time in bed, though an automated algorithm was used when not available [24]. Sensitivity analyses revealed no difference in estimates when sleep logs vs automated algorithm methods were used. All outcomes are provided as work periods (as the intervention was specific to the workplace) and as total wake time to assess possible compensation effects outside of work. All work periods were standardized to an 8 h workday (i.e., standardized minutes = observed minutes × 480/observed minutes of wear time), whereas total wake times were standardized to a 16 h day. Time spent in LPA and moderate-to-vigorous physical activity (MVPA) were derived from step counts as < 100 steps/minute for LPA and ≥ 100 steps/minute for MVPA [25]. In total, the following outcomes are derived for both work periods and total waking time: sitting (min/day); standing (min/day); LPA (min/day); MVPA (min/day); total physical activity, combined LPA and MVPA (min/day); sit-to-stand transitions (number of transitions/h of sitting); and sitting time accrued in bouts ≥ 30 m (min/day). Participants in both study arms received standardized reports of their activPAL data.

Cardiometabolic risk biomarkers

Measurements of body weight, and resting blood pressure, as well as fasting and venous serum concentration of glucose, insulin, triglycerides, and LDL- and HDL-cholesterol were assessed following procedures from the original trial with batch processing [9, 19]. Cardiometabolic risk score (CMR) and individual biomarker scores were also examined in a continuous fashion [26], also following procedures from the original trial [9, 19]. An exploratory subgroup of dysglycemic patients (i.e., diagnosed with diabetes or a fasting blood glucose ≥ 100 mg/dL) was also examined at 24-months, within each study arm.

Sample size and statistical analysis

Analyses were performed in SAS 9.4 (SAS Institute Cary, N.C.). To remain consistent with reporting of our primary outcomes [9], intent to treat procedures without imputation were followed at the level of the worksite (the unit of randomization), with 24 worksites being randomized and analyzed. Individuals within worksite were included when 24-month data were available. The senior statistician was blinded to group assignment and the analyst/programmer was blinded until the statistical models were finalized. Individuals who became pregnant or lactating during the trial were excluded from cardiometabolic analyses. Each outcome was defined as 24-month change from baseline and 24-month change from 12 months. Distributions were examined and plotted against baseline to identify implausible values and influential points prior to analysis. Sensitivity analyses using log transformed and winsorized (3rd quartile + 1.5*SD) outcomes gave similar results and are not reported. Effects for STAND + and MOVE + were tested separately. Linear mixed models were used to examine within group changes. The group randomized design was accounted for using a random effect for site nested within treatment. Models were adjusted for baseline values of the respective outcome and a priori selected covariates: age, sex, race/ethnicity, and baseline BMI.

Results

All worksites (N = 24) were retained (12 per study arm) in each region/sector stratum through 24-months. Figure 1 presents an updated CONSORT diagram to the original trial extending retention through 24-months. A total of 464 participants (248 STAND + , 216 MOVE + ; 19 ± 6 per worksite; 45.8 ± 10.6 years of age, 73% female) were retained from baseline for the 24-month follow up with an overall 24-month participant retention rate of 74%. At 24-months the retained sample size per worksite was 21 ± 7 participants (range:10–35) for STAND + , and 18 ± 5 (range:10–26) for MOVE + . Loss-to-follow-up from baseline through 12-months has been published elsewhere [9]. Between 12- and 24- months, STAND + lost 44 participants and MOVE + lost 31 participants. Table 1 describes the baseline characteristics of the 24-month sample in total and by study arm. Supplementary Table 1 provides a comparison of the demographics and baseline activity and cardiometabolic risk biomarkers of the baseline and 12- and 24-month analytical samples by study arm. Sample retention was comparable between study arms and demographic, baseline activity, and cardiometabolic risk characteristics of participants retained and those lost-to-follow-up from 12-months to 24-months were similar.

Fig. 1
figure 1

Worksite and participant flow

Table 1 Demographics of the 24-month sample

At 24-months, 197 STAND + and 166 MOVE + participants completed the activPAL assessment. Overall, activPAL wear time during waking hours was high: 84% of STAND + participants had ≥ 5 valid days and 3 valid work periods (6.5 ± 1.5 valid days and 4.0 ± 1.1 work periods) with a waking wear time of 15.2 ± 1.0 h per valid day and 8.4 ± 1.0 h per valid work period. Similarly, 89% of MOVE + participants had ≥ 5 valid days and 3 valid work periods (6.7 ± 1.2 valid days and 4.1 ± 1.0 work periods), with waking wear time of 15.2 ± 0.8 h per valid day and 8.3 ± 0.8 h per valid work period.

The results of the 24-month maintenance outcomes of activPAL-measured variables for work time (standardized to an 8 h workday; Fig. 2) and total waking time (standardized to a 16 h day), are displayed in Table 2. For STAND + , the adjusted within-arm mean difference in sitting time was 21.9 (9.3, 34.5) mins per 8 h workday at 24 months relative to 12 months, and -37.3 (-51.9, -22.7) mins per 8 h workday relative to baseline. For MOVE + , the adjusted within-arm mean difference in sitting time was -23.4 (-39.7, -7) mins per 8 h workday at 24 months relative to 12 months, and -31.8 (-43.5, -20.2) mins per 8 h workday relative to baseline. The adjusted within-arm mean difference in standing time for STAND + was -18.8 (-30.7, -7.02) mins per 8 h workday at 24 months relative to 12 months and 37.2 (21.8, 52.6) mins per 8 h workday relative to baseline. The adjusted within-arm mean difference in standing time in MOVE + was 32.8 (-43.5, -20.2) mins per 8 h workday at 24 months relative to 12 months and 24.4 (6.8, 41.9) mins per 8 h workday relative to baseline. Both study arms observed reductions in sitting largely translated into standing behaviors and changes in LPA and MVPA activity were minimal.

Fig. 2
figure 2

Mean workplace sitting time in STAND + and MOVE + study arms at baseline, 12- and 24-months. Note. Circle data points refer to the STAND + study arm; Square data points refer to MOVE + study arms; Error bars are 95% confidence intervals

Table 2 Intervention effects on objectively measured work time and total time activity variables, by study arm in minutes, at 0, 12, and 24 months of the 24 month analytic sample

CMR score data were available for 175 and 150 STAND + and MOVE + participants, respectively. The individual components of CMR along with additional anthropometric and chronic disease values of the total and dysglycemic subgroups by study arm are presented in Table 3.. For both the total and dysglycemic subgroup samples for STAND + and MOVE + , effects were mostly small. However, in the dysglycemic subsample there was a significant reduction in triglycerides for STAND + from 12 to 24 months, and for MOVE + from 0 to 24 months there were reductions in triglycerides and diastolic blood pressure.

Table 3 Intervention effects on cardiometabolic risk biomarkers of the 24-month analytical sample by study arm

Discussion

The purpose of this study was to examine the long-term maintenance (24-month) of workplace sitting and LPA as well as cardiometabolic risk factors following immediate and delayed implementation of SSW combined with a 12-month multilevel intervention. Findings provide support to the efficacy of multilevel interventions encompassing SSW’s (i.e., STAND +) on maintaining workplace sitting time reductions through 24-months – the longest current follow-up period for a workplace intervention. In addition, we found evidence for reducing workplace sitting time by implementing SSW’s following a 12-month multilevel intervention (i.e., MOVE +). Overall, our findings provide evidence for the ability of multilevel interventions coupled with SSWs to produce the most robust and sustained reductions in workplace sitting time and lay the groundwork for understanding long-term public health impacts of multilevel workplace sedentary reduction interventions.

Reductions in workplace sitting observed within STAND + at 12 months [9] were largely maintained at 24 months. Specifically, although workplace sitting slightly increased from 12 to 24 months by approximately 22 min per 8 h workday, participants maintained an overall almost 40 min per 8 h workday reduction at 24 months compared to baseline. Past research examining long-term effects of non-occupational sedentary behavior reductions have resulted in mixed findings [13, 27,28,29,30]. Our findings are similar to Thomsen et al. who found an individually tailored behavioral intervention targeting reductions in daily sitting time resulted in sustained sitting reduction of over 60 min/day at 22-months follow-up [31]. However, our findings are in contrast to studies that found non-occupational sedentary time reductions were not sustained in the long-term [32,33,34]. Although a shorter follow-up time period, our findings are in line with Zhu et al. [13] who found a 53 min/8 h workday reduction in workday sitting time following the use of sit-stand workstations at 18-month follow-up.

While MOVE + exhibited negligible within-group reductions in workplace sitting time from baseline to 12-months [9], workplace sitting time was reduced by over 30 min per 8 h workday at 24-months compared to baseline. This reduction was largely accumulated from 12- to 24-months, after receiving SSW’s following the 12-month primary assessment. Although exposure to the multilevel SMW program for 12 months with worksite policy, environment, cultural, social, and individual level strategies may have helped set the foundation for behavioral support, the MOVE + study arm likely produced reductions in sitting at 24-months from the addition of the SSW’s on top of consistent program exposure over the first 12-months of the study. However, it is important to note that past studies have found that the maximal benefits of SSWs may not be reached without an accompanying multilevel intervention. For example, Neuhaus and colleagues found that reduction in workplace sitting time were more than doubled in an intervention group with SSWs plus a multilevel intervention compared to an intervention group with SSWs alone [35]. Nevertheless, SSWs provide participants with additional capability and opportunity to reduce sitting behaviors with minimal impact on work productivity and engagement.

Consistent with findings from the first trial [9], the reductions in workplace sitting were largely translated into standing behavior for both STAND + and MOVE + ; and small effects were seen in physical activity at 24 months. Based on average changes in sitting, standing, and physical activity time, the changes did not meet the overall behavioral targets (e.g.,, 50% increase in standing time). However, the reductions in sitting time during the 24-month follow-up period are clinically meaningful with the potential to improve health outcomes [36]. Findings continue to exhibit negligible compensation for sitting outside of work. Nevertheless, our findings highlight that workplace sitting time reductions are sustained following a 12-month multilevel intervention coupled with SSWs, as well delayed introduction of SSWs following a 12-month multilevel intervention. Past research has shown that use of SSWs tend to decrease over long periods of time [37], however, our findings suggest that worksites may require initial behavioral support to sustain SSW usage for work-related activities.

Minimal effects were seen in cardiometabolic risk factors from baseline to 24-months and 12- to 24-months within the total sample, while there appeared to be some significant effects for triglycerides and blood pressure for the small dysglycemic subgroup for both STAND + and MOVE + . Experimental research indicates that replacing sitting with standing and/or LPA has the potential to beneficially modify insulin sensitivity and glucose disposal through activation of the large lower-body muscle groups [38,39,40,41,42,43]. Frequent changes in posture through the use of SSWs may have additional peripheral vascular benefits favorable to cardiometabolic risk [44,45,46]. As sedentary behaviors independently predicts the risk of future CVD and all-cause mortality [47, 48], there is a need to further explore potential benefits of workplace sedentary behavior interventions on improving cardiometabolic health.

The current study is novel because of the long-term follow-up of device-based workplace sitting time, LPA, and cardiometabolic risk factors following a multilevel, sedentary behavior focused intervention. This study is also among the first to examine the impact of adding SSWs to worksites after exposure to a multilevel behavioral intervention for 12 months. Additional strengths of this study include the generalizability of the results with 24 worksites recruited across three sectors and two states with the longest current follow-up period of 24 months and the use of objective assessments for workplace sitting time and LPA. Some limitations worth noting include the lack of a non-intervention control group, limiting our ability to compare our results to worksites with no intervention. Also, this trial only included full-time sedentary workers of relatively good health with no contraindications to reduce sitting and increase standing and LPA. In addition, because of the differences between the STAND + and MOVE + intervention groups from 12- to 24-months (i.e., delayed intervention), we were unable to examine between group differences in sustained workplace sitting time and LPA and cardiometabolic outcomes. Finally, although we obtained maintenance data of intervention strategies throughout the 12-month intervention period (e.g., what intervention components were implemented and maintained) [49], we did not collect this data during the 24-month follow-up period. Thus, we are unable to examine what intervention strategies were maintained and/or built upon during the 24-month follow-up.

Conclusion

In summary, we found that reductions in workplace sitting were largely sustained through 24-month follow-up. Examination of long-term follow-up is critical to determine if the reductions observed in workplace sedentary behaviors, as well as any uptake in standing or moving, has been sustained. Identifying strategies for sustained workplace sedentary behavior reductions in the long-term is essential as this may have positive health outcome implications. The results from the STAND + group indicate that even with minimal researcher involvement, multilevel workplace programs coupled with SSWs have the potential to sustain reductions in workplace sitting over 24 months. Further, the delayed introduction of SSWs in the MOVE + study arm allowed us to examine whether delivering a 12-month multilevel intervention followed by the introduction of SSWs would yield similar results to immediate introduction of SSWs. We found similar reduction in sitting time from 12–24 months in the MOVE + arm that we observed in the STAND + arm from 0–12 months, which in one sense replicated our original study results but also suggested that delayed implementation of SSW may have similar impact as immediate implementation. More research is needed to determine potential long-term health implications in response to a multilevel behavioral intervention with SSWs.

Data availability

The datasets supporting the conclusions of this article are available upon request though the co-corresponding authors, Drs. Matthew Buman and Mark Pereira.

References

  1. Bailey DP. Sedentary behaviour in the workplace: prevalence, health implications and interventions. Br Med Bull. 2021;137(1):42–50. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/bmb/ldaa039. Cited 2024 Dec 4.

    Article  PubMed  Google Scholar 

  2. Zeigler ZS, Mullane SL, Crespo NC, Buman MP, Gaesser GA. Effects of standing and light-intensity activity on ambulatory blood pressure. Med Sci Sports Exerc. 2016;48(2):175–81.

    Article  PubMed  Google Scholar 

  3. Gao W, Sanna M, Chen YH, Tsai MK, Wen CP. Occupational sitting time, leisure physical activity, and all-cause and cardiovascular disease mortality. JAMA Netw Open. 2024;7(1):e2350680–e2350680. Available from: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2814094. Cited 2024 Dec 4.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Dunstan DW, Dogra S, Carter SE, Owen N. Sit less and move more for cardiovascular health: emerging insights and opportunities. Nat Rev Cardiol. 2021;18(9):637–48. Available from: https://www.nature.com/articles/s41569-021-00547-y. Cited 2024 Dec 4.

    Article  PubMed  Google Scholar 

  5. Winkler EAH, Chastin S, Eakin EG, Owen N, Lamontagne AD, Moodie M, et al. Cardiometabolic impact of changing sitting, standing, and stepping in the workplace. Med Sci Sports Exerc. 2018;50(3):516–24.

    Article  PubMed  Google Scholar 

  6. 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.

    Article  PubMed  Google Scholar 

  7. 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(1):30–40.

    Article  PubMed  Google Scholar 

  8. McGuckin T, Sealey R, Barnett F. Planning for sedentary behaviour interventions: office workers’ survey and focus group responses. Perspect Public Health. 2017;137(6):316–21.

    Article  PubMed  Google Scholar 

  9. Pereira MA, Mullane SL, Toledo MJL, Larouche ML, Rydell SA, Vuong B, et al. Efficacy of the ‘Stand and Move at Work’ multicomponent workplace intervention to reduce sedentary time and improve cardiometabolic risk: a group randomized clinical trial. Int J Behav Nutr Phys Act. 2020;17(1):1–11.

    Article  Google Scholar 

  10. Healy GN, Winkler EAH, Eakin EG, Owen N, Lamontagne AD, Moodie M, et al. A cluster RCT to reduce workers’ sitting time: impact on cardiometabolic biomarkers. Med Sci Sports Exerc. 2017;49(10):2032–9.

    Article  PubMed  Google Scholar 

  11. 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(9):1787–97.

    Article  PubMed  Google Scholar 

  12. 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;10(363):3870.

    Article  Google Scholar 

  13. Zhu W, Gutierrez M, Toledo MJ, Mullane S, Stella AP, Diemar R, et al. Long-term effects of sit-stand workstations on workplace sitting: a natural experiment. J Sci Med Sport. 2018;21(8):811–6. Available from: https://pubmed.ncbi.nlm.nih.gov/29289496/. Cited 2023 Oct 10.

    Article  PubMed  Google Scholar 

  14. Zhu W, Gutierrez M, Toledo MJ, Mullane S, Stella AP, Diemar R, et al. Long-term effects of sit-stand workstations on workplace sitting: a natural experiment. J Sci Med Sport. 2018;21(8):811–6.

    Article  PubMed  Google Scholar 

  15. Commissaris DACM, Huysmans MA, Mathiassen SE, Srinivasan D, Koppes LLJ, Hendriksen IJM. Interventions to reduce sedentary behavior and increase physical activity during productive work: a systematic review. Scand J Work Environ Health. 2016;42(3):181–91.

    PubMed  Google Scholar 

  16. Brierley ML, Chater AM, Smith LR, Bailey DP. The effectiveness of sedentary behaviour reduction workplace interventions on cardiometabolic risk markers: a systematic review. Sports Med. 2019;49(11):1739–67.

    Article  PubMed  Google Scholar 

  17. Shrestha N, Kukkonen-Harjula KT, Verbeek JH, ljaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev. 2018;6(6).

  18. 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(5):467–81.

    Article  CAS  PubMed  Google Scholar 

  19. Buman MP, Mullane SL, Toledo MJ, Rydell SA, Gaesser GA, Crespo NC, et al. An intervention to reduce sitting and increase light-intensity physical activity at work: design and rationale of the “Stand & Move at Work” group randomized trial. Contemp Clin Trials. 2017;1(53):11–9.

    Article  Google Scholar 

  20. Mullane SL, Rydell SA, Larouche ML, Toledo MJL, Feltes LH, Vuong B, et al. enrollment strategies, barriers to participation, and reach of a workplace intervention targeting sedentary behavior. Am J Health Promot. 2019;33(2):225–36.

    Article  PubMed  Google Scholar 

  21. Buman MP, Mullane SL, Toledo MJ, Rydell SA, Gaesser GA, Crespo NC, et al. An intervention to reduce sitting and increase light-intensity physical activity at work: design and rationale of the ‘Stand & Move at Work’ group randomized trial. Contemp Clin Trials. 2017;53:11–9. Available from: https://pubmed-ncbi-nlm-nih-gov.ezproxy1.lib.asu.edu/27940181/. Cited 2021 Mar 31.

    Article  PubMed  Google Scholar 

  22. 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.

    Article  PubMed  Google Scholar 

  23. Lyden K, Keadle SK, Staudenmayer J, Freedson PS. The activPALTM accurately classifies activity intensity categories in healthy adults. Med Sci Sports Exerc. 2017;49(5):1022–8.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Winkler EAH, Bodicoat DH, Healy GN, Bakrania K, Yates T, Owen N, et al. Identifying adults’ valid waking wear time by automated estimation in activPAL data collected with a 24 h wear protocol. Physiol Meas. 2016;37(10):1653–68.

    Article  PubMed  Google Scholar 

  25. Abel M, Hannon J, Mullineaux D, Beighle A. Determination of step rate thresholds corresponding to physical activity intensity classifications in adults. J Phys Act Health. 2011;8(1):45–51. Available from: https://pubmed-ncbi-nlm-nih-gov.ezproxy1.lib.asu.edu/21297184/. Cited 2021 Dec 15.

    Article  PubMed  Google Scholar 

  26. Hillier TA, Rousseau A, Lange C, Lépinay P, Cailleau M, Novak M, et al. Practical way to assess metabolic syndrome using a continuous score obtained from principal components analysis. Diabetologia. 2006;49(7):1528–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Thomsen T, Aadahl M, Beyer N, Hetland ML, Løppenthin KB, Midtgaard J, et al. Sustained long-term efficacy of motivational counseling and text message reminders on daily sitting time in patients with rheumatoid arthritis: long-term follow-up of a randomized, parallel-group trial. Arthritis Care Res (Hoboken). 2020;72(11):1560–70. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/acr.24060. Cited 2023 Oct 10.

    Article  PubMed  Google Scholar 

  28. Laska MN, Lytle LA, Nanney MS, Moe SG, Linde JA, Hannan PJ. Results of a 2-year randomized, controlled obesity prevention trial: Effects on diet, activity and sleep behaviors in an at-risk young adult population. Prev Med (Baltim). 2016;89:230–6. Available from: https://pubmed.ncbi.nlm.nih.gov/27283096/. Cited 2023 Oct 10.

    Article  Google Scholar 

  29. Lioret S, Campbell KJ, Crawford D, Spence AC, Hesketh K, McNaughton SA. A parent focused child obesity prevention intervention improves some mother obesity risk behaviors: the Melbourne inFANT program. Int J Behav Nutr Phys Act. 2012;9. Available from: https://pubmed.ncbi.nlm.nih.gov/22925356/. Cited 2023 Oct 10.

  30. Lakerveld J, Bot SDM, Van der Ploeg HP, Nijpels G. The effects of a lifestyle intervention on leisure-time sedentary behaviors in adults at risk: the Hoorn prevention study, a randomized controlled trial. Prev Med (Baltim). 2013;57(4):351–6. Available from: https://pubmed.ncbi.nlm.nih.gov/23777672/. Cited 2023 Oct 10.

    Article  Google Scholar 

  31. Thomsen T, Aadahl M, Beyer N, Hetland ML, Løppenthin KB, Midtgaard J, et al. Sustained long-term efficacy of motivational counseling and text message reminders on daily sitting time in patients with rheumatoid arthritis: long-term follow-up of a randomized, Parallel-Group Trial. Arthritis Care Res (Hoboken). 2020;72(11):1560–70.

    Article  PubMed  Google Scholar 

  32. Laska MN, Lytle LA, Nanney MS, Moe SG, Linde JA, Hannan PJ. Results of a 2-year randomized, controlled obesity prevention trial: Effects on diet, activity and sleep behaviors in an at-risk young adult population. Prev Med (Baltim). 2016;1(89):230–6.

    Article  Google Scholar 

  33. Lioret S, Campbell KJ, Crawford D, Spence AC, Hesketh K, McNaughton SA. A parent focused child obesity prevention intervention improves some mother obesity risk behaviors: the Melbourne inFANT program. Int J Behav Nutr Phys Act. 2012;28:9.

    Google Scholar 

  34. Lakerveld J, Bot SDM, Van der Ploeg HP, Nijpels G. The effects of a lifestyle intervention on leisure-time sedentary behaviors in adults at risk: the Hoorn Prevention Study, a randomized controlled trial. Prev Med (Baltim). 2013;57(4):351–6.

    Article  Google Scholar 

  35. 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(1):30–40. Available from: https://pubmed.ncbi.nlm.nih.gov/24355669/. Cited 2024 Dec 4.

    Article  PubMed  Google Scholar 

  36. Peachey MM, Richardson JV, Tang A, Dal-Bello Haas V, Gravesande J. Environmental, behavioural and multicomponent interventions to reduce adults’ sitting time: a systematic review and meta-analysis. Br J Sports Med. 2020;54(6):315–25. Available from: https://pubmed.ncbi.nlm.nih.gov/30352864/. Cited 2024 Dec 4.

    Article  PubMed  Google Scholar 

  37. Carr LJ, Swift M, Ferrer A, Benzo R. Cross-sectional examination of long-term access to sit-stand desks in a professional office setting. Am J Prev Med. 2016;50(1):96–100.

    Article  PubMed  Google Scholar 

  38. Buckley JP, Mellor DD, Morris M, Joseph F. Standing-based office work shows encouraging signs of attenuating post-prandial glycaemic excursion. Occup Environ Med. 2014;71(2):109–11.

    Article  PubMed  Google Scholar 

  39. 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(5):976–83.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Peddie MC, Bone JL, Rehrer NJ, Skeaff CM, Gray AR, Perry TL. Breaking prolonged sitting reduces postprandial glycemia in healthy, normal-weight adults: a randomized crossover trial. Am J Clin Nutr. 2013;98(2):358–66.

    Article  CAS  PubMed  Google Scholar 

  41. Latouche C, Jowett JBM, Carey AL, Bertovic DA, Owen N, Dunstan DW, et al. Effects of breaking up prolonged sitting on skeletal muscle gene expression. J Appl Physiol (1985). 2013;114(4):453–60.

    Article  CAS  PubMed  Google Scholar 

  42. Bailey DP, Locke CD. Breaking up prolonged sitting with light-intensity walking improves postprandial glycemia, but breaking up sitting with standing does not. J Sci Med Sport. 2015;18(3):294–8.

    Article  PubMed  Google Scholar 

  43. Crespo NC, Mullane SL, Zeigler ZS, Buman MP, Gaesser GA. Effects of standing and light-intensity walking and cycling on 24-h glucose. Med Sci Sports Exerc. 2016;48(12):2503–11.

    Article  CAS  PubMed  Google Scholar 

  44. Kruse NT, Hughes WE, Benzo RM, Carr LJ, Casey DP. Workplace strategies to prevent sitting-induced endothelial dysfunction. Med Sci Sports Exerc. 2018;50(4):801–8.

    Article  PubMed  Google Scholar 

  45. Padilla J, Fadel PJ. Prolonged sitting leg vasculopathy: contributing factors and clinical implications. Am J Physiol Heart Circ Physiol. 2017;313(4):722–8.

    Article  Google Scholar 

  46. Morishima T, Restaino RM, Walsh LK, Kanaley JA, Padilla J. Prior exercise and standing as strategies to circumvent sitting-induced leg endothelial dysfunction. Clin Sci. 2017;131(11):1045–53.

    Article  Google Scholar 

  47. Ekelund U, Steene-Johannessen J, Brown WJ, Fagerland MW, Owen N, Powell KE, et al. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet. 2016;388(10051):1302–10.

    Article  PubMed  Google Scholar 

  48. Ekelund U, Brown WJ, Steene-Johannessen J, Fagerland MW, Owen N, Powell KE, et al. Do the associations of sedentary behaviour with cardiovascular disease mortality and cancer mortality differ by physical activity level? A systematic review and harmonised meta-analysis of data from 850 060 participants. Br J Sports Med. 2019;53(14):886–94.

    Article  PubMed  Google Scholar 

  49. Leonard KS, Mullane SL, Golden CA, Rydell SA, Mitchell NR, Koskan A, et al. Qualitative comparative analysis of the implementation fidelity of a workplace sedentary reduction intervention. BMC Public Health. 2022;22:1–11. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12889-022-13476-3.

    Article  CAS  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the worksite staff and leadership for supporting the conduct of the trial in their respective workplaces. KSL was supported by a supplement from a US NIH-funded study (R01CA198971). KH was supported by a supplement from a US NIH-funded study (R01CA239612).

Funding

This study was funded by the National Institutes of Health (R01CA198971).

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MPB and MAP secured funding and designed the study. KSL and ML drafted and wrote the manuscript. NRM and KSL performed data analysis. SAR, MJT, SLM, and KH conducted data collection. All authors revised the manuscript.

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Correspondence to Matthew P. Buman or Mark A. Pereira.

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This study was reviewed and approved by the Arizona State University (STUDY00002561) Internal Review Board on 12 May 2015. Consent was obtained from all participants prior to study participation.

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The authors declare that they have no competing interests.

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Leonard, K.S., Larouche, M., Mitchell, N.R. et al. Maintenance effects of a multilevel workplace intervention to reduce sedentary time: twenty-four-month follow-up of the group randomized clinical trial ‘Stand and Move at Work’. Int J Behav Nutr Phys Act 22, 39 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12966-025-01731-w

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