Objectives To test the efficacy of a multicomponent technology intervention for reducing daily sedentary time and improving cardiometabolic disease risk among sedentary, overweight university employees.
Design Blinded, randomised controlled trial.
Setting A large south-eastern university in the USA.
Participants 49 middle-aged, primarily female, sedentary and overweight adults working in sedentary jobs enrolled in the study. A total of 40 participants completed the study.
Interventions Participants were randomised to either: (1) an intervention group (N=23; 47.6+9.9 years; 94.1% female; 33.2+4.5 kg/m2); (2) or wait-list control group (N=17; 42.6+8.9 years; 86.9% female; 31.7+4.9 kg/m2). The intervention group received a theory-based, internet-delivered programme, a portable pedal machine at work and a pedometer for 12 weeks. The wait-list control group maintained their behaviours for 12 weeks.
Outcome measures Primary (sedentary and physical activity behaviour measured objectively through StepWatch) and secondary (heart rate, blood pressure, height, weight, waist circumference, per cent body fat, cardiorespiratory fitness, fasting lipids) outcomes were measured at baseline and postintervention (12 weeks). Exploratory outcomes including intervention compliance and process evaluation measures were also assessed postintervention.
Results Compared to controls, the intervention group reduced daily sedentary time (mean change (95%CI): −58.7 min/day (−118.4 to 0.99; p<0.01)) after adjusting for baseline values and monitor wear time. Intervention participants logged on to the website 71.3% of all intervention days, used the pedal machine 37.7% of all working intervention days and pedalled an average of 31.1 min/day.
Conclusions These findings suggest that the intervention was engaging and resulted in reductions in daily sedentary time among full-time sedentary employees. These findings hold public health significance due to the growing number of sedentary jobs and the potential of these technologies in large-scale worksite programmes.
Trial Registration ClinicalTrials.gov #NCT01371084.
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Strengths and limitations of this study
The primary strengths of this study include (1) among the first randomised controlled trials (RCTs) to target sedentary time as a primary outcome; (2) among the first RCTs to use an objective measure of sedentary time; (3) conducted a 12-week trial which extends previous sedentary interventions that have typically been of brief durations; (4) measured cardiometabolic risk factors and (5) conducted a process evaluation to identify features of the intervention that worked particularly well.
The primary limitations of this study include (1) small sample size (N=40) comprising primarily of middle-aged women working at a single institution which limits generalisability and (2) differential dropout, although follow-up analyses indicate no differences between those who dropped out and those who completed for age (p=0.48), body mass index (p=0.63) or daily sedentary time (p=0.32).
Excessive time spent in sedentary behaviour is an independent risk factor for multiple chronic health outcomes including cardiovascular disease,1 ,2 type 2 diabetes,3 hypertension,4 metabolic syndrome5 and obesity.6 Conversely, recent acute experimental studies suggest that interrupting and/or replacing excessive sedentary behaviour with light intensity physical activity throughout the day may be effective for improving various cardiometabolic disease risk factors.7 ,8 The modern workplace has been identified as a setting in which individuals engage in prolonged bouts of sedentary time.9 Adults working in full-time sedentary jobs are at particular risk of being sedentary as they often spend more than 75% of their work time sitting.9–11 Currently, more than 27% of the US labour force works in low-activity occupations.12 The observed decline in occupational energy expenditure (∼100 kcal/day) over the past 50 years has been identified as a key contributor to the observed increase in mean body mass among US adults over the same time period.13 Traditional, behaviourally focused worksite interventions have focused primarily on increasing physical activity and resulted in modest effect sizes (Cohen's d=0.21−0.22).14 ,15 In a shift away from behaviourally focused approaches, studies grounded in social ecological theory16 have begun testing the effect of modifying the work environment to reduce occupational sedentary time.
Until now, only a handful of sedentary interventions have been conducted in the worksite. While many early worksite sedentary interventions did not demonstrate effectiveness,17 recent trials have shown promise for reducing sitting time.18–20 Overall, many sedentary intervention studies conducted in the worksite have been limited by the use of self-report measures of sedentary time and/or short-duration interventions (1–4 weeks). Further, most studies in this area have promoted reduced ‘sitting time’. Given the recent availability of seated activity permissive workstations10 and the possible desire/need of many employers and employees to remain seated while completing their work, there is a need for interventions that promote ‘active sitting’ as opposed to ‘reduced sitting’ as a means for reducing sedentary time.
In a previous study testing the feasibility of modifying the work environment as a means of reducing occupational sedentary time through promoting active sitting, our team provided portable pedal machines (MagneTrainer, 3D Innovations) to 18 sedentary desk workers for 4 weeks.10 Importantly, participants rated the pedal machines as feasible and acceptable for use while completing their work. Further, despite a lack of any accompanying behavioural intervention, participants used the pedal machines on 61% of all workdays for an average of 23.4 min/day. Although these results are promising, it is possible that the addition of a motivational behavioural intervention could result in increased pedalling compliance and reduced sedentary time.
The primary aim of the present study was to test the effectiveness of a multicomponent intervention for reducing daily sedentary time among a sample of sedentary, overweight, full-time working adults compared to a wait-list control group. We hypothesised that the intervention group would significantly reduce daily sedentary time compared to the wait-list control group after 12 weeks. As a secondary aim, we tested the effectiveness of intervention on cardiometabolic risk factors including measures of adiposity, blood pressure, estimated aerobic fitness and blood lipids. We hypothesised that the intervention group would reduce their overall cardiometabolic disease risk compared to the wait-list control group. Finally, as an exploratory aim, we conducted a process evaluation to explore intervention compliance and identify helpful components of the intervention.
Subjects and design
Many sedentary interventions until now have been limited by short durations. Therefore, we conducted a 12-week randomised controlled trial design comparing a treatment group to a no treatment wait-list control group. We recruited apparently healthy but physically inactive (self-reporting less than 60 min of moderate-to-vigorous intensity physical activity per week), overweight (body mass index (BMI) ≥25 kg/m2) adults working in full-time (reporting a minimum of 35+ h/week) sedentary/desk-dependent occupations (reporting a minimum of 75% of their working time spent sitting). Participants were required to gain permission from their supervisor prior to enrolment. Research staff members screened participants for eligibility by telephone. Exclusionary criteria included: (1) limitations with or contraindications to ambulatory exercise; (2) acute illness or injury; (3) cognitive impairment, psychosis or other diagnosed psychological illness (with the exception of depression and anxiety); (4) currently using psychotropic drugs or (5) diagnosis of a chronic condition such as heart failure or cancer. Participants were not compensated for participation in the study. Experimental protocols were approved by the University and Medical Center Institutional Review Board and voluntary written informed consent was obtained from each participant.
Participants of all races and ethnic backgrounds working at a large southern university were passively recruited through email advertisements placed on an electronic mailing list serve that served 5392 employees. A total of 192 people responded to our advertisements of which 143 were excluded from participation due to their not meeting the eligibility criteria, which primarily consisted of not meeting BMI and/or physical activity requirements (N=120); declining to participate (N=19) or other reasons (N=4). A 1:1 random allocation sequence was generated by the principal investigator using an online random sequence generator.21 Participants were assigned to one of two groups by a research staff member not involved in data collection based on the order in which they enrolled into the study. A total of 49 participants deemed interested and eligible for participation were randomised to one of the two groups: (1) intervention (N=25); (2) wait-list control (N=24). Of the 49 participants enrolled, 40 completed all baseline and postintervention assessments. Nine participants were lost to follow-up (figure 1). Final analyses were completed on 40 participants with 23 intervention participants and 17 control participants (table 1). More than half of all participants were college educated, reported an annual income greater than $40 000 and reported being non-Hispanic/White. Participants were enrolled and completed all testing sessions between June 2011 and June 2012.
Wait-list control group
Participants randomised to the wait-list control group were asked to maintain their current behaviours for 12 weeks at which time they were given the option to receive the intervention treatment materials.
The primary intent of the intervention was to encourage participants to reduce their time spent sedentary. The name used to promote the study on advertisements and study materials was “Pedal@Work: Reducing time spent sedentary…” The intervention (figure 2) comprised three primary components: (1) access to a portable pedal machine (MagneTrainer, 3D Innovations, Greeley, Colorado, USA) at their worksite; (2) access to a motivational website (Walker Tracker, Portland, Oregon, USA) to receive tips and reminders focused on reducing sedentary behaviours throughout the day and (3) a pedometer to use in conjunction with the website (Omron HJ-150). The pedal machine is a portable (18″ height, 20″ length) device that has been demonstrated as acceptable for use during sedentary office work.10 Because participants were sedentary employees working in professional environments, the rationale for providing them pedal machines at work was to allow them to engage in light-intensity activity (ie, active sitting) that they could perform for long periods throughout the day without causing them to perspire. The pedal machine is accompanied by a PC interface and software package that allows for objective monitoring of individual pedal activity. This software also provides the user with real-time feedback through a display monitor on pedal time, distance, speed and caloric expenditure. The research team delivered the pedal machine to each participant's worksite, downloaded the pedal tracking software to the participant's work computer and worked with the participant to identify the most feasible set-up. Intervention participants were asked to keep the pedal machine connected to their PC during all working hours. Intervention participants were required to gain clearance to use the pedal machines and software at their work prior to participation. No additional interaction between the research staff and participant's supervisors occurred during the course of the study. Participants were located in 18 different buildings across the campus. No participants worked within visible proximity of each other.
Intervention participants were also provided access to a motivational website that was individually customised to the local culture of the worksite of the participants who were recruited (figure 2). Examples of customisation included posting local images and messages specific to the local institution. The content of the intervention focused primarily on reducing time spent sedentary (both increasing active sitting through pedalling and taking breaks from sitting). Example messages included “Let's try to pedal an extra 5 min during your lunch break today” and “Did you know standing up burns more calories than sitting? Maybe it's time for a break!?” Most messages targeted time spent at work, although some messages broadly targeted sedentary time in general and could have impacted sedentary time outside work. Messages were theory-based targeting constructs of the Social Cognitive Theory22 including self-monitoring, social support, self-efficacy and perceived environment. For example, participants were prompted through daily email messages to self-monitor their daily pedal time and daily steps (through a pedometer) on the website. The activity participants logged on the website was used to fuel a virtual competition (aimed at building social support) in which small groups of intervention participants (4–5 per group) collectively travelled across the USA. Participants were also emailed three theory-based motivational messages each week targeting goal setting, self-efficacy and perceived environment. Specific goals were not set for intervention participants; rather, participants received advice on how to set goals and suggestions for daily pedalling time (eg, “Try fitting in 10 min of pedalling during your lunch today.”). Finally, using a forum similar to Facebook, participants were able to post profile photos and status updates on a newsfeed and send messages to members of their small groups further fostering social support.
All measures were collected at baseline and postintervention (12 weeks) in a controlled laboratory setting by two staff members blinded to the participant's group assignment. The two staff members were provided specific measurement duties to ensure that each measure was collected by the same staff member at baseline and postintervention. The primary outcome was daily sedentary time as measured objectively by the StepWatch physical activity monitor (Orthocare Innovations, Mountlake Terrace, Washington, USA). The StepWatch was specifically chosen for this study as it is worn on the ankle, making it ideally suited for measuring pedalling and walking behaviour. Further, the StepWatch has been demonstrated as a reliable measure of walking behaviour (3 day agreements for steps per day (39.1%) and per cent inactive time (9.52%))23 and an accurate measure of sedentary behaviours (89.8–99.5% accurate) and light intensity walking (86.1% accurate).24 The StepWatch has demonstrated superior ability for detecting pedalling time (23.5–54.4% accurate) when compared to hip-worn accelerometers (8.1–47.1% correct).25 Participants were asked to wear the monitor during all wakeful hours for seven consecutive days and keep track of wear time using an activity log. Days on which participants wore the monitors for less than 10 h were excluded from the final analysis. The threshold for sedentary (0 steps/min) was based on the recommendation provided by the product manufacturer. The thresholds for light (1–45 steps/min), moderate (46–75 steps/min) and vigorous (76+ steps/min) intensity physical activities were based on previous work which demonstrated a moderate-intensity walking stride rate to range from 90 to 113 steps/min depending on the height and stride length.26
Blood pressure was measured with a stethoscope and sphygmomanometer using standard techniques. Heart rate was monitored with a Polar heart rate monitor and chest strap. Body mass was measured to the nearest 0.1 kg and height to the nearest 0.5 cm using a professional grade digital medical scale and height rod (Seca 769, Hanover, Maryland, USA). Waist circumference was measured in duplicate with a standard Gulick measuring tape according to standard procedures.27 Fasting blood lipids (total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides) were assessed using a finger stick and a point-of-care analyser (Cholestech LDX analyzer) which has previously been demonstrated as an accurate and precise measure of total cholesterol (1.6% and 3%, respectively), HDL-cholesterol (−2.74% and 1.05%, respectively) and triglycerides (2.11% and 2.65%, respectively).28 Estimated aerobic fitness was assessed through a single-stage submaximal treadmill walking test which has previously been demonstrated as a valid estimate of total aerobic fitness among middle-aged adults.29
Compliance with the pedal machine (ie, minutes pedalled/day, total days pedalled) was assessed objectively through the activity tracking software. Pedal compliance data were downloaded directly from each individual's work computer at the end of 12 weeks. Website use compliance (eg, number of website logins, number of steps logged on the website) was assessed objectively at the end of 12 weeks through a backend tracking database made available by the website administrators. In order to assess which components of the intervention participants ‘perceived’ as helpful for reducing their sedentary time, a process evaluation survey was conducted at 12 weeks among intervention completers. Participants rated each intervention component using a five-point Likert scale.
A sample size of 40 (recruiting 49 assuming a 20% attrition) was necessary to detect, with 80% power, at α=0.05, a 30 min/day difference in daily sedentary time. The 30 min/day difference was identified as a reasonable estimate based on our previous study in which participants used the same pedal machines an average of 23 min/day without any motivational intervention.10 Means (SD) were used to describe data where appropriate. This study was not powered to detect differences in the measured cardiometabolic risk factors. These measures were collected as secondary outcomes and to inform future trials.
The paired samples t test was used to determine any within-group differences at baseline and postintervention. Analysis of covariance (ANCOVA) was used to test for differences between groups at postintervention. Baseline values of interest were included as covariates in the model for all continuous variables consistent with the recommended statistical procedures.30 The underlying assumption of no between group differences at baseline was confirmed for all measures by one way ANCOVA. Finally, the 95% CI for the mean differences of all primary and secondary outcomes of interest is presented.
The baseline characteristics of both groups are presented in table 1. Overall, participants were middle-aged and mostly classified as obese. More than half of all participants were college educated, reported an annual income greater than $40 000 and reported being non-Hispanic/White. Differential dropout was observed over the course of the study, although sensitivity analyses indicate no differences between those who dropped out and those who completed the study for measures of age (p=0.48), BMI (p=0.63), or daily sedentary time (p=0.32).
Table 2 illustrates monitor wear time for both groups at each time point and changes in the primary outcomes of sedentary and physical activity behaviours for both groups. No between-group differences or within-group differences were observed for monitor wear time at either baseline or postintervention. No differences were observed for any sedentary or physical activity measures at baseline. A significant intervention effect favouring the intervention group (95% CI −0.99 to 118.4 min/day) was observed for the absolute number of daily sedentary minutes after adjusting for baseline sedentary time and monitor wear time. Intervention effects reached near significance for both per cent daily time spent sedentary (95% CI −6.8% to −0.6%) and per cent time spent in moderate intensity physical activity (95% CI 0.0% to 2.6%; see table 2).
Table 3 illustrates changes in the secondary outcomes of cardiometabolic risk factors for both groups. A significant intervention effect was observed for waist circumference p=0.03 after adjusting for baseline values (table 3). No significant intervention effects were observed for any other cardiometabolic risk factors.
A total of 23 participants completed the intervention and provided compliance data (see table 4). Intervention participants logged on to the website an average of 71.3% (59.8 days) of all days they had access to the website (including weekends; table 4). Intervention participants also logged an average of 7945+4634 steps/day on the website over 12 weeks. Participants pedalled an average of 37.7% (22.6 days) of all days they had access to the pedal machine (excluding weekends). Participants pedalled an average of 31.1+31.6 min/day on the days they used the pedal machines and an average of 16.1+17.2 min/pedalling bout.
When asked to rate the helpfulness of each intervention feature for reducing their sedentary time, participants rated the pedal machine biofeedback display, the pedometer and self-monitoring activity on the website as ‘extremely helpful’ (median Likert score=5; table 5). Participants rated the email reminders to log daily activity and access to the pedal machine as ‘quite helpful’ (median Likert score=4.0; table 5).
The primary findings of this study suggest that this multicomponent intervention resulted in significant time spent sedentary in a small sample of inactive, overweight employees. The decreased sedentary time observed among the intervention group appears to have been at least partially replaced by an increase in moderate intensity activity. Our findings are important as the present study was among the first worksite interventions to promote ‘active sitting’ as a means of reducing sedentary time. Further, the present study was conducted over a longer duration (12 weeks) compared to similar trials,19 ,31 which is necessary in order to determine whether the intervention instils habitual behaviour change and/or whether such behaviour change results in changes in cardiometabolic outcomes. While longer trials are necessary to confirm whether sedentary employees will adhere to such an intervention, process evaluation data suggest that participants engaged with the intervention and maintained engagement through 12 weeks. This study also utilised an objective measure of sedentary/physical activity behaviour, whereas many previous interventions have relied on self-report measures of sedentary time.17 The present study builds on past studies as our study was among the first to demonstrate significant reductions in objectively measured sedentary time when compared to a control group. This is important, as it has been suggested that decreasing sedentary time can result in improved health benefits independent of physical activity.2 ,32–34
Sedentary time among the intervention group was reduced by an average of 58 min/day or 3.7% of daily time. Our findings are within the range of similar studies. For example, Kozy-Keadle et al31 found that daily sedentary time reduced from 67% to 62.7% after a simple 7-day intervention that included educational materials on sedentary health risks and tips to reduce sedentary time. However, this study did not include a control group. In a study that did include a control group, Evans et al19 found no between-group differences in objectively measured sitting time after 5 days of point-of-choice software reminders to stand up every 30 min while at work.
We also observed a significant intervention effect for waist circumference. This finding is important as waist circumference has been shown to predict mortality among adults with coronary artery disease.35 Confidence in this finding is strengthened by past studies that have found waist circumference to be sensitive to change in the absence of changes in other measures of adiposity36 as well as studies reporting interruptions from sedentary time to be associated with waist circumference.37 Furthermore, this finding is consistent with the findings of a previous 16-week internet-delivered physical activity programme which demonstrated modest improvements in daily steps and waist circumference.36 The lack of changes in other cardiometabolic risk factors may be due to the low intensity of the intervention as well as the limited duration of 12 weeks. Studies of longer duration are needed to determine whether long-term reduction in sedentary time results in cardiometabolic risk reduction.
Participant compliance with the website overall was high with participants logging on to the website an average of 71% of all intervention days. This is important as past internet-delivered intervention studies have identified engagement to be a challenge38 ,39 and a predictor of intervention success.40 By comparison, Lewis et al41 reported that participants logged on to a physical activity website a median number of 50 times (13.7%) over 12 months. The reasons for such high website compliance in the present study may be due to the tailoring of the website to include locally relevant images and messages and/or the regular email messages.
Participant compliance with the pedal machines in the present 12 week trial (31 min/day) was higher when compared to compliance in our previous 4-week trial (23 min/day).10 These findings suggest that the added motivational intervention, which included suggestions for setting goals and finding time to pedal each day, resulted in improved daily compliance that was sustained over a longer duration. Despite the logistical limitation of the portable pedal machine when paired with standard height desks (ie, many participants reported their knees hit the underside of their desk while pedalling), participants used the pedal machine on a fairly regular basis. In order to maximise compliance with such portable pedal machines in future studies, it is recommended these devices be paired with height adjustable desks that allow for comfortable pedalling during computer work tasks.
Intervention participants reported features that provided feedback including the pedal machine tracking software, pedometers and self-monitoring daily activity on the website (which was immediately followed by a graph illustrating the individual's daily progress) as the most helpful features for reducing their daily sedentary time. This information is important and could be used to inform future interventions aimed at reducing sedentary behaviour. This finding is consistent with past studies which have found biofeedback as a useful tool to improve health behaviours.42 ,43
The main limitation of the study was the limited generalisability due to a small sample size that primarily comprised middle-aged women working at a single institution. We also experienced differential dropout, although follow-up analyses indicate no differences between those who dropped out and those who completed for age, BMI or daily sedentary time.
The present study is among the first interventions conducted within the worksite aimed specifically at reducing daily sedentary time to demonstrate between-group differences in objectively measured sedentary time. Compliance with the motivational website was high while compliance with the pedal machine was moderate. These findings are promising, considering the relatively low cost of the intervention at $180 (pedal machine and software, pedometer, access to website) per participant. While an intervention effect was observed for waist circumference, no between-group differences were observed for any other cardiometabolic risk factors. More sedentary focused interventions are needed to examine whether reducing sedentary time can be sustained in the long term and whether long-term changes result in significant reductions in risk for chronic diseases.
Contributors LJC was responsible for the design of the study and led the manuscript preparation. KK assisted in the design of the study and also in manuscript preparation. MP contributed to the manuscript preparation and was solely responsible for leading the intervention which included duties of interacting with participants on a daily basis. RS and KC contributed to the manuscript preparation and were also responsible for collecting data at the baseline and postintervention time points.
Funding This study was funded by Oak Ridge Associated Universities grant #212112.
Competing interests None.
Ethics approval University and Medical Center Institutional Review Board of East Carolina University.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement No additional data are available.
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