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. 2021 Jan 4;16(1):e0244841. doi: 10.1371/journal.pone.0244841

The effects of prolonged sitting, prolonged standing, and activity breaks on vascular function, and postprandial glucose and insulin responses: A randomised crossover trial

Meredith C Peddie 1,*, Chris Kessell 2, Tom Bergen 2, Travis D Gibbons 2, Holly A Campbell 3, James D Cotter 2, Nancy J Rehrer 2, Kate N Thomas 3
Editor: Giuseppe Andò4
PMCID: PMC7781669  PMID: 33395691

Abstract

The objective of this study was to compare acute effects of prolonged sitting, prolonged standing and sitting interrupted with regular activity breaks on vascular function and postprandial glucose metabolism. In a randomized cross-over trial, 18 adults completed: 1. Prolonged Sitting; 2. Prolonged Standing and 3. Sitting with 2-min walking (5 km/h, 10% incline) every 30 min (Regular Activity Breaks). Flow mediated dilation (FMD) was measured in the popliteal artery at baseline and 6 h. Popliteal artery hemodynamics, and postprandial plasma glucose and insulin were measured over 6 h. Neither raw nor allometrically-scaled FMD showed an intervention effect (p = 0.285 and 0.159 respectively). Compared to Prolonged Sitting, Regular Activity Breaks increased blood flow (overall effect of intervention p<0.001; difference = 80%; 95% CI 34 to 125%; p = 0.001) and net shear rate (overall effect of intervention p<0.001; difference = 72%; 95% CI 30 to 114%; p = 0.001) at 60 min. These differences were then maintained for the entire 6 h. Prolonged Standing increased blood flow at 60 min only (overall effect of intervention p<0.001; difference = 62%; 95% CI 28 to 97%; p = 0.001). Regular Activity Breaks decreased insulin incremental area under the curve (iAUC) when compared to both Prolonged Sitting (overall effect of intervention P = 0.001; difference = 28%; 95% CI 14 to 38%; p<0.01) and Prolonged Standing (difference = 19%; 95% CI 4 to 32%, p = 0.015). There was no intervention effect on glucose iAUC or total AUC (p = 0.254 and 0.450, respectively). In normal-weight participants, Regular Activity Breaks induce increases in blood flow, shear stress and improvements in postprandial metabolism that are associated with beneficial adaptations. Physical activity and sedentary behaviour messages should perhaps focus more on the importance of frequent movement rather than simply replacing sitting with standing.

Introduction

Sedentary behaviour (performing activities when sitting or lying that involve < 1.5 MET of energy usage) is associated with increased risk of mortality, cardiovascular disease and type 2 diabetes [1, 2], but regular high levels (e.g. >60 min) of moderate-to-vigorous physical activity may prevent such associations [3]. Most intervention studies designed to test the causality of the association between sedentary behaviour and health outcomes have focused on the acute effects of regularly interrupting periods of prolonged sitting with short bouts of activity on postprandial metabolism. A growing number of studies have now been conducted in this area, confirming that ~1.5 min– 5 min of light or moderate activity performed every 20–30 min can improve postprandial glucose metabolism when compared to 2–9 h of uninterrupted sitting in participants ranging from obese type 2 diabetics to healthy inactive young adults [47]. An alternative method for reducing periods of prolonged sitting is to encourage standing. However, the results of the small number of acute studies conducted indicate that short bouts of standing [8], or even alternating 30 min of standing with 30 min of sitting [9], are not as effective at reducing postprandial glycemia as regular activity breaks, particularly in healthy, normal weight populations [8]. Very little is known about the effects of more prolonged bouts of standing, despite recommendations being made to encourage individuals to stand for at least half of their work day [10].Impaired endothelial function precedes the development of atherosclerosis [11] and is predictive of cardiovascular events [12, 13]. Changes in circumferential pressure and shear stress (the forces associated with blood flow) play an important role in the prevention or development of endothelial dysfunction and atherosclerosis [14]. Prolonged sitting reduces blood flow to the lower limbs, decreasing shear stress (the tangential force of the flowing blood on the endothelial surface), and resulting in transient endothelial dysfunction [15]. Additionally, a greater volume of sedentary behaviour has also been associated with chronically impaired endothelial function [16, 17]. It is likely that reductions in blood flow and endothelial function also contribute to the elevated postprandial glycemia observed with prolonged sitting given that muscle provides the largest sink for glucose disposal, and that glucose uptake is facilitated by muscle perfusion [18]. Reduced blood flow to the large muscles of the legs thereby reduces the major role those muscles can play in the regulation of glucose metabolism. Findings from the few studies published to date indicate that regular activity breaks [15, 19, 20], standing [21] or standing breaks [22] may protect against the negative impact that sitting has on endothelial function. However, all studies on normal weight individuals were of sitting in a fasted state [15, 21] or after a light or low-energy meal [19, 20]. Feeding can affect vascular function, and therefore, these studies do not represent the postprandial state most common during waking hours. The aim of this study was to compare the effects of prolonged sitting, prolonged standing and sitting interrupted with regular activity breaks on endothelial function and postprandial glycemic response.

Materials and methods

Study design

This randomized, controlled, cross-over trial took place at the University of Otago, in Dunedin, New Zealand between April 2019 and July 2019. The trial was approved by the University of Otago Human Ethics Committee (Health), approval number: H18/138, and written informed consent was obtained from all participants before screening. The study is registered prospectively with the Australian New Zealand Clinical Trial Registry (ANZCTR12619000175178).

Participants

Participants were recruited through the distribution of emails and advertisements placed on campus-related social media sites. Eligible participants were 18–40 y of age who self-reported sitting for >5 h per day, did not smoke, were free of cardiovascular disease or diabetes, had a BMI <30 kg/m2, were not on medication known to influence endothelial function or postprandial metabolism, were capable of participating in physical activity and standing for long periods (assessed via administration of PAR-Q and self-report), and had a blood pressure at screening of <140/90 mm Hg (Fig 1).

Fig 1. Participant flow diagram (CONSORT).

Fig 1

Experimental protocol

The experimental protocol is presented in Fig 2. Participants completed three 6-h interventions: Prolonged Sitting, in which participants sat for 6 h; Prolonged Standing, in which participants stood at a standing desk for 6 h; and Regular Activity Breaks, in which sitting was interrupted by 2 min of walking on a treadmill (5 km·h-1; 10% incline) every 30 min. The sequence in which participants completed the three interventions was random (see below). Each intervention was separated by a minimum of 4 d (median 7 d; 25th and 75th percentiles 6 and 20 d, respectively). The only time participants deviated from their prescribed posture during each intervention was during two predetermined bathroom breaks. At each bathroom break participants walked slowly ~20 m down the hall to the bathroom (regardless of whether then needed to use the facilities) and back again. When sitting or standing, participants were permitted to read or use their laptop (for work or leisure). An investigator was in the room with participants throughout each session to ensure adherence to all protocols.

Fig 2. Intervention session timeline.

Fig 2

Randomization

Participants were randomly assigned to complete the three interventions in one of the six possible orders. The randomization sequence was generated prior to participant recruitment by MCP using Stata software (version 15 for MAC; StataCorp, College Station, Texas), and concealed electronically. The afternoon prior to each participant beginning their first intervention session the next sequential randomization sequence was revealed and assigned.

Standardization of prior diet and exercise

Participants were asked to avoid physical activity for 24 h prior to each intervention session, and record everything they ate and drank. A copy of this record was returned to participants prior to each subsequent intervention and they replicated the food and drink consumed as closely as possible. Participants wore an ActiGraph accelerometer (ActiGraph GT3X+, ActiGraph, Pensacola, Florida) and an interstitial glucose monitor (Freestyle Libre Pro, Abbot Diabetes Care) over this time to monitor compliance.

Meals

All participants consumed the same breakfast (muesli, trim milk, juice, toast, margarine and honey) at baseline, and a snack (chocolate brownie) at four hours. The breakfast and snack combined provided 4697 kJ energy, 170 g carbohydrate (62% energy) and 35 g fat (28% energy). Gluten-free alternatives were provided on request (n = 3) and provided 4716 kJ energy, 180 g carbohydrate and 33 g fat. All food was consumed within 15 min by all participants, and no other food was consumed over this time. Water intake was provided ad libitum during the first session and then replicated in all subsequent sessions.

Measurement of popliteal artery hemodynamics

The popliteal artery was assessed by one of two experienced sonographers (KNT and TDG), and all measurements within individual participants were completed by the same sonographer. Simultaneous popliteal artery diameter and blood velocity were measured using ultrasound (Terason uSmart 3300, MA, USA) with a 15 MHz linear array transducer (bandwidth 4–15 MHz). Hemodynamics were assessed for ~60 s on each occasion. All baseline and final (360 min) measurements were made with participants in a left lateral recumbent position with the knee slightly flexed, as were all measurements during Sitting and Regular Activity Breaks interventions. However, in the Prolonged Standing intervention, hourly measures taken between 0 and 360 min were in a standing position with the knee slightly flexed. In the Regular Activity Breaks intervention measurements were taken immediately prior to an activity break, meaning the participant had been sitting continuously for ~30 min prior to measurement. The position of measurement within the popliteal fossa was marked to ensure consistency of location. This location was measured from bony landmarks and/or the knee skin crease and replicated in subsequent sessions. The location was verified by comparing the recording from the baseline of the previous intervention session prior to the first assessment in a subsequent intervention. Ultrasound depth, focus position, gain and Doppler settings were optimized for each participant for the first measurement and replicated thereafter. Videos were recorded using Camtasia Studio Screen Recording Software (TechSmith, MI, USA). Offline analysis was performed blinded to intervention assignment, using wall-tracking software (Cardiovascular Suite v 3.6, Quipu, Pisa, Italy).

Measurement of Flow Mediated Dilation (FMD)

Flow mediated dilation was measured in the popliteal fossa following published guidelines [23] at baseline and 360 min, after the participant had rested quietly for >10 min in a left lateral recumbent position. Following a 2-min baseline, transient ischemia was induced by inflating a 12-cm cuff around the mid calf to 200 mm Hg within 2 s (SC12 cuff, TD312 blood pressure cuff inflator; Hokanson, Bellevue WA, USA). Occlusion was maintained for 5 min and recording continued for 3 min following rapid release of the cuff. Baseline diameter (Dbase), blood flow velocity (v) and shear rate (SR) were assessed as the mean of the last minute of recording prior to cuff inflation. Blood flow was calculated as the product of half the time-averaged peak envelope velocity and vessel cross-sectional area. Peak diameter post deflation was determined automatically using edge-detection software. Flow-mediated dilation was calculated as the percentage increase in diameter from baseline (FMD = (Dpeak-Dbase) / Dbase x 100), following guidelines utilising allometric scaling to adjust for Dbase with a covariate-controlled approach [24].

Muscle mass of left lower limb

Muscle mass of the left lower limb was assessed via bioelectrical impedance (InBody 230, InBody, Seoul, South Korea) at baseline and immediately prior to the bathroom break at 315 min. Changes in muscle mass between the two measurements were assumed to be changes in fluid in the lower limb.

Blood pressure

Arterial blood pressure was measured hourly using an automated sphygmomanometer (OMRON HEM-907) with an appropriately-sized cuff. In all intervention sessions, at baseline (0 min) and 360 min blood pressure was measured in a seated upright position after at least 10 min of sitting. In the Prolonged Sitting and Regular Activity Breaks interventions blood pressure was also measured in a seated upright position for all other measurements. In the Regular Activity Breaks intervention blood pressure measurements were conducted immediately prior to an activity breaks meaning the participant had been sitting for ~30 min prior to each measurement. In the Prolonged Standing intervention blood pressure was measured in a standing position at all other time points. Measurements were taken on the same arm for all conditions, contralateral to the arm with the indwelling venous cannula. Three measurements were taken one minute apart and the mean of the three measurements recorded at each time point.

Blood collection

Participants arrived at the laboratory in a fasted state. Immediately after baseline FMD measurements were completed a cannula was inserted into a vein in the antecubital fossa or forearm. At least 10 min later a fasting blood sample was collected and the session began. Blood samples were collected hourly for 6 h, with additional samples collected 30 and 45 min after both breakfast and the snack; i.e., 11 samples were collected in total. Blood samples were collected into a syringe and transferred immediately into EDTA-containing tubes. At baseline, 180 and 360 min a capillary tube was filled with blood collected from the syringe for analysis of hematocrit. Both the capillary and EDTA containing tubes were stored chilled until they were centrifuged (1100 rpm for 5 min and 300 rpm for 10 min, respectively), within 2 h of collection. Hematocrit was measured using a custom-made Vernier calliper reader immediately after centrifugation, while plasma from the EDTA tube was aliquoted and stored at -80°C for later analysis.

Analytical methods

Plasma glucose concentration was measured using the hexokinase enzymatic method on a Cobas C 311 analyser (Roche Diagnostics; Mannheim, Germany). Plasma insulin concentration was measured using electrochemiluminescence methods on an Elecsys 2010 (Roche Diagnostics; Mannheim, Germany). Kits and calibrators for glucose and insulin analysis were sourced from Roche Diagnostics (Mannheim, Germany). All samples from the same participant were assayed in a single run. Intraassay CVs were 0.7% for glucose and 1.3% for insulin. All analyses were performed by a lab technician who was blinded to intervention allocations.

Statistical analysis

Data were analysed using Stata software (version 16.0 for PC; StataCorp, College Station Texas). The primary outcome for this study was the difference in change in FMD from baseline to 360 min between interventions. A sample size of 18 participants provided 80% power to detect a 0.85 reduction in Dbase-adjusted FMD (α = 0.05) assuming a sample size of 1.0, using a test of paired comparisons, and allowing three participants to complete the three interventions in each of the 6 possible intervention orders. This sample size also allowed 80% power to detect a 10% difference in glucose area under the curve (AUC) and a 15% difference in insulin AUC. The effect of the different interventions on raw and allometrically scaled FMD at 230 min was evaluated using linear mixed models with adjustment for baseline diameter.

The effect of the different interventions on the hemodynamic variables (diameter, shear rate and blood flow) was assessed at three time points of interest using linear mixed models with adjustment for values measured at 0 min: 1) at 60 min (to assess the very acute effects of the posture/activity); 2) the mean of the measurements taken at 240 and 300 min (to assess the posture/activity after it had been sustained for several hours while incorporating the effects of a second feeding) and; 3) at 360 min (to assess if changes as a result of the posture/activity were maintained after returning to a seated position). For ease of interpretation, differences in flow between interventions were converted to percentages post-analysis.

Mean blood pressures for each intervention were quantified as the mean of all time points after baseline. The effect of the different interventions on mean systolic and diastolic blood pressure was evaluated using mixed model regression.

The total AUCs for glucose and insulin were calculated using concentrations measured from each of the 11 time points, using the command integ in Stata. This calculation fits a cubic spline curve through the time points on which blood samples were collected and calculates the area under that curve. Incremental AUC (iAUC) were also calculated by subtracting baseline concentrations from each subsequent concentration over the 6 h period and calculating the area under the curve using the same command as above. When samples were missing due to cannula malfunction (n = 4) the area under the curve was calculated without the missing time point (no baseline or 360 min samples were missing). The effect of different interventions on total AUC and iAUC for glucose, and insulin was evaluated using linear mixed models. For ease of interpretation, differences in AUC between interventions are presented as percentages which were calculated post-analysis.

For all mixed models, period and order affects were assessed individually and found not to have an important effect, however, for completeness order was included as a predictor in all final models. The assumptions of regression models were checked for every model and found to be met for all models other than insulin (in which the residuals were skewed). Log transformation addressed the non-normality to a large extent, but robust standard errors were used to allow for small deviations from normality. For consistency, robust standard errors were then used in all models. No adjustment was made for multiple comparisons.

Results

Participant flow through the study is presented in Fig 1. Eighteen participants completed all three interventions sessions and were included in the final analysis. Participant characteristics are summarized in Table 1. Two thirds of participants (12/18) reported habitually participating in five or more hours of physical activity a week. There were no differences between interventions in mean (sd) interstitial glucose (Prolonged Sitting: 5.5 (0.6) mmol·L-1; Prolonged Standing: 5.5 (0.4) mmol·L-1; Regular Activity Breaks: 5.3 (0.5) mmol·L-1; p = 0.120) or the mean total number of activity counts (sd) (Prolonged Sitting: 526,802 (330,383) counts; Prolonged Standing: 626,154 (308,260) counts; Regular Activity Breaks: 495,945 (313,010) counts: p = 0.666) measured in the 24 h prior to participants arriving at the laboratory.

Table 1. Participant characteristics.

Characteristic All (n = 18)
Females [n (%)] 7 (39)
Age (y) 23.5 (5.0)
Height (cm) 175.0 (10.2)
Weight (kg) 72.9 (12.1)
BMI (kg·m-1) 23.7 (2.6)
Systolic blood pressure (mm Hg) 116 (9)
Diastolic blood pressure (mm Hg) 73 (12)
Fasting glucose (mmol·L-1) 4.9 (0.5)
Fasting Insulin (pmol·L-1) 49.6 (33.8)

Data presented as mean (SD) unless otherwise stated

There was no effect of intervention on either raw or allometrically scaled FMD at 360 min (after controlling for FMD at 0 min) (p = 0.285 and 0.159 respectively, Table 2).

Table 2. Flow Mediated Dilation (FMD) responses measured during 360 min of prolonged sitting, prolonged standing and regular activity breaks in 18 healthy, normal weight adults.

Time Baseline 360 min
mean Δ from baseline p*
Raw FMD (%)
Prolonged Sitting 2.5 (1.6) 3.5 (2.6) 0.8 (2.4) 0.285
Prolonged Standing 3.1 (2.3) 2.9 (2.0) -0.3 (2.3)
Regular Activity Breaks 3.6 (2.3) 2.6 (3.0) -0.8 (2.62)
Allometrically scaled FMD (%)
Prolonged Sitting 2.4 (1.4) 3.5 (2.1) 1.04 (1.03 to 1.05)** 0.159
Prolonged Standing 3.0 (2.1) 2.6 (2.0) 0.99 (0.98 to 1.01)**
Regular Activity Breaks 3.7 (2.3) 3.0 (2.7) 0.99 (0.98 to 1.05)**

*p for overall effect of intervention at 360 min, with adjustment for baseline values

** presented as ratio of geometric means (95% CI)

There was significant effect of intervention on net shear rate at 60 min (p<0.001), the mean of the 240 and 300 min measurements (p<0.001) and at 360 min (p = 0.001) (Fig 3). At 60 min Regular Activity Breaks resulted in a net shear rate that was 72% higher (95% CI 30 to 114%; p = 0.001) than Prolonged Sitting (after controlling for net shear rate at 0 min). This difference was maintained between 240 and 300 min (difference = 62%; 95% CI 30 to 89%; p<0.001) and at 360 min (difference = 83%; 95% CI 45 to 120%; p<0.001) (Fig 3). These changes appear to be driven by increases in antegrade shear rate during Regular Activity Breaks. There was a significant effect of intervention on antegrade shear rate at 60 min (p = 0.02), the mean of the 240 and 300 min measurements (p<0.001) and at 360 min (p<0.001) At 60 min, Prolonged Standing resulted in a net shear rate that was 80% higher (95% CI 38 to 122%; p<0.001) than Prolonged Sitting. This appeared to be mediated by a decrease in retrograde shear rate associated with Prolonged Standing (overall intervention effects for retrograde shear rate were significant at 60 min (p<0.001), the mean of the 240 and 300 min measurements (p<0.001) but not at 360 min (p = 0.199)). This difference dissipated between 240 and 300 min (difference 39%; 95% CI -4 to 81; p = 0.080), and was not apparent at 360 min (difference 21%; 95% CI -21 to 64%; p = 0.329). Net shear rate was not different between Regular Activity Breaks and Prolonged Standing at 60 min (difference -4%; 95% CI -33 to 57; p = 0.768), or between 240 and 300 min (difference 19%; 95% CI -13 to 48%; p = 0.257), however, at 360 min Regular Activity Breaks resulted in a net shear rate that was 46% higher (95% CI 4 to 87%; p = 0.026) than Prolonged Standing (after controlling for net shear rate at 0 min) (Fig 3). There was no effect of intervention on diameter at any measurement time (Table 3).

Fig 3. Mean total antegrade and retrograde shear rate measured over the 6-h intervention period in n = 18 healthy participants.

Fig 3

Error bars are standard deviations. All baseline (0 min) and final (360 min) measurements were made with the participants in a left lateral recumbent position, as were all measurement in the Prolonged Sitting and Regular Activity Breaks interventions. In the Prolonged Standing intervention measurements made at 60, 240 and 300 min were performed with the participant standing with the knee slightly flexed.

Table 3. Popliteal artery diameter and blood flow responses measured during 360 min of prolonged sitting, prolonged standing and regular activity breaks in 18 healthy, normal weight adults.

Time Baseline 60 min 240–300 min 360 min
mean % Δ from baseline p* mean % Δ from baseline p* mean % Δ from baseline p*
Diameter (mm)
Prolonged Sitting 5.9 (0.8) 5.9 (0.9) 2 (5) 0.229 5.8 (0.8) 2 (7) 0.300 6.0 (0.9) 2 (7) 0.325
Prolonged Standing 5.8 (0.8) 5.7 (0.8) -2 (9) 5.7 (0.6) 0 (7) 5.9 (0.7) 0 (7)
Regular Activity Breaks 5.9 (0.8) 6.0 (0.7) 2 (10) 5.9 (0.5) 3 (10) 6.1 (0.6) 3 (10)
Blood flow (mL·min-1)
Prolonged Sitting 36.2 (23.1) 28.9 (18.4) -20 (72) P<0.001 30.8 (24.2) -15 (78) P<0.001 22.4 (8.9) -38 (53) P<0.001
Prolonged Standing 38.8 (24.3) 47.6 (26.3) 25 (84) 40.8 (22.3) 6 (86) 30.5 (35.3) -21 (75)
Regular Activity Breaks 40.8 (23.3) 52.3 (22.9) 28 (65) 54.3 (29.1) 33 (58) 47.8 (25.7) 16 (56)

*p for overall effect of intervention at specified time point, with adjustment for baseline values

There was a significant effect of intervention on blood flow at 60 min (p<0.001), between 240 and 300 min (p<0.001) and at 360 min (p<0.001) (Table 3). At 60 min Regular Activity Breaks resulted in a blood flow that was 80% larger than that seen with Prolonged Sitting (95% CI 34 to 125%; p = 0.001). This difference was maintained between 240 and 300 min (difference = 71%; 95% CI 39 to 104%; p<0.001) and 360 min (difference = 110%; 95% CI 54 to 156%; p<0.001). Prolonged Standing increased blood flow at 60 min by 62% (95% CI 28 to 97%; p = 0.001) when compared to Prolonged Sitting. However, this difference was no longer apparent between 240 and 300 min or at 360 min (Table 3). Blood flow was not different between Regular Activity Breaks and Prolonged Standing at 60 min (difference = 11%; 95% CI -23 to 44%; p = 0.549) or between 240 and 300 min (difference = 32%; 95% CI -2 to 64%; p = 0.069). However, at 360 min Regular Activity Breaks increased blood flow by 56% when compared to Prolonged Standing (95% CI 10 to 105%; p = 0.019).

Prolonged Standing increased the measured muscle mass of the lower limb (an indirect marker of fluid accumulation; overall effect of intervention p<0.001) at 315 min by 0.4 kg (95% CI 0.2 to 0.5 kg; p<0.001) when compared to Prolonged Sitting, and by 0.3 kg (95% CI 0.1 to 0.4 kg; p = 0.008) when compared to Regular Activity Breaks. However, the difference at 315 min was not meaningfully different between Prolonged Sitting and Regular Activity Breaks (difference 0.1 kg; 95% CI -0.1 to 0.4; p = 0.238)

The overall effect of intervention was not significant for systolic blood pressure (p = 0.654), however, it was for diastolic blood pressure (p = 0.010) (Table 4). Specifically, Prolonged Standing increased mean diastolic blood pressure by 8 mm Hg (95% CI 2 to 10 mm Hg; p = 0.006) when compared to Prolonged Sitting, and by 5 mm Hg (95% CI 1 to 8 mm Hg; p = 0.004) when compared to Regular Activity Breaks. Diastolic blood pressure did not differ significantly between Prolonged Sitting and Regular Activity Breaks (1 mm Hg; 95% CI -1 to 4; p = 0.347 (Table 4)).

Table 4. Summary responses over 360 min of prolonged sitting, prolonged sitting and regular activity breaks measured in 18 healthy, normal weight adults.

Mean (SD) p*
Systolic blood pressure (mmHg)
Prolonged Sitting 110.9 (7.7) 0.654
Prolonged Standing 109.9 (8.2
Regular Activity Breaks 109.9 (8.2)
Diastolic blood pressure (mmHg)
Prolonged Sitting 62.4 (6.9) 0.010
Prolonged Standing 68.1 (8.5)
Regular Activity Breaks 63.8 (6.5)
Total glucose AUC (mmol·L-1·360 min)
Prolonged Sitting 1890.2 (238.5) 0.254
Prolonged Standing 1816.6 (148.8)
Regular Activity Breaks 1831.1 (193.1)
Incremental glucose AUC (mmol·L-1·360 min)
Prolonged Sitting 189.6 (142.0) 0.450
Prolonged Standing 152.3 (150.6)
Regular Activity Breaks 140.9 (136.7)
Total insulin AUC (pmol·L-1·360 min)
Prolonged Sitting 69365.9 (1.3)** 0.001
Prolonged Standing 63202.6 (1.4)**
Regular Activity Breaks 50875.2 (1.5)**
Incremental insulin AUC (pmol·L-1·360 min)
Prolonged Sitting 58788.5 (50987.8 to 67783.0)** 0.005
Prolonged Standing 52904.8 (41519.4 to 67412.1)**
Regular Activity Breaks 33352.1 (19511.7 to 57010.1)**

*p for overall effect of intervention

**presented as geometric mean (95% CI)

When adjusted for baseline concentrations there was no significant difference (p = 0.713) in hematocrit at 180 min (mean (SD) hematocrit = 43 (4) for Prolonged Sitting; 44 (5) for Prolonged Standing and 44 (4) for Regular Activity Breaks) or at 360 min (p = 0.166; mean (SD) hematocrit = 43 (4) for Prolonged Sitting; 43 (4) for Prolonged Standing and 43 (3) for Regular Activity Breaks).

The plasma glucose and insulin concentrations measured over the 6-h intervention are shown in Fig 4, while the total and iAUC are shown in Table 4. The overall effect of intervention was not significant for either total or incremental AUC for glucose (p = 0.254 and 0.450, respectively), but was for total and incremental AUC for insulin (p = 0.001 and 0.005, respectively; Fig 4). Regular Activity Breaks decreased insulin total AUC by 27.5% (95% CI 13.6 to 37.6%; p<0.01) when compared to Prolonged Sitting, and by 19.3% (95% CI 4.1 to 32.1%, p = 0.015) when compared to Prolonged Standing. The effect of the Prolonged Sitting and Prolonged Standing interventions on insulin total AUC did not differ significantly (8.9%; 95% CI -5.1 to 21.8%; p = 0.224). Similarly, Regular Activity Breaks decreased insulin iAUC by 44.5% (95% CI 20.8 to 61.1%; p = 0.01) when compared to Prolonged Sitting, and by 36.0% (95% CI 11.0 to 54.0%, p = 0.008) when compared to Prolonged Standing. The effect of the Prolonged Sitting and Prolonged Standing interventions on insulin total AUC did not differ significantly (13.3%; 95% CI -3.2 to 27.2%; p = 0.109).

Fig 4. Mean plasma glucose and insulin concentrations measured over the 6-h intervention period in n = 18 healthy participants.

Fig 4

Meals were fed at 0 and 240 min.

Discussion

This is the first study to measure the time course of the vascular and metabolic responses to Prolonged Sitting, Prolonged Standing and Regular Activity Breaks, and after consumption of a high-carbohydrate meal. Performing Regular Activity Breaks increased both blood flow and net shear rate in the popliteal artery when compared to Prolonged Sitting, within 60 min of starting this pattern of activity, and then maintained this increase over the 6 h period (with the measurement of blood flow occurring ~30 min after each activity break in the seated position). This increase in blood flow and shear rate remained after 10 min in the left lateral recumbent posture prior to the measurement at 360 min. Standing initially increased blood flow to similar levels as seen with regular activity breaks at 60 min, but this was not maintained between 240 and 300 or 360 min. Meaningful changes in FMD were not observed in response to any intervention.

Hemodynamic effects

Few studies have examined vascular effects of prolonged sitting and/or activity breaks. This, combined with differences in methodology between studies, make comparisons difficult. Other studies have examined from 90 min to 6 h of sitting, using a variety of ‘breaking’ interventions (e.g., standing, fidgeting, short walks, longer walks, callisthenics), and in various arteries (superficial femoral, popliteal or brachial). Furthermore, the current study was performed with participants in a fed state. On balance, most studies have demonstrated reduced blood flow and net shear rate during and following sitting for 3–6 h, and most interventions that interrupt sitting mitigate these reductions [15, 19, 2527]. The results of the current study support that blood flow and net shear rate are lower with prolonged sitting, and that activity breaks ameliorate this response. Blood flow and shear rates in the popliteal artery during walking are also going to be significantly higher, so the measurement ~30 min post-walking underestimates the extent of the favourable hemodynamic stimulus. However, the finding of elevated blood flow between walking bouts is important for understanding the effect that walking has during the seated periods. Standing appears to prevent the decline in blood flow and shear rate initially, but this protection is not maintained past 4 h; a time effect that is perhaps caused by the slow development of edema in the leg that opposes the effects of gravity on arterial blood pressure. The absence of this fluid shift seen with Regular Activity Breaks may contribute to the elevation in blood flow and shear rate observed for the entirety of the 6-h periods. The 6-h standing period was longer than used in previous studies; for example, Morishima et al. [21] demonstrated increased blood flow and shear rate throughout 3 h of standing.

Despite these relatively consistent hemodynamic profiles across sitting / breaking studies, effects on FMD are more variable, with a number of studies [15, 21, 25, 26] documenting a reduction in FMD with sitting and protection by breaking, and others showing no change following any intervention [19, 20, 22]. It is unclear as to why the 6-h sitting intervention did not reduce FMD in the current study. Perhaps in this young, otherwise healthy, homogeneous population, the stimulus was insufficient to evoke an impairment, or the walk to the toilet on two occasions (performed by every participant regardless of need)was enough to mitigate the effects of sitting for long periods. However, from the observations of reduced blood flow and shear stress, it is possible that over time, i.e., repeated exposures, this might precipitate endothelial dysfunction.

Metabolic effects

Performing regular activity breaks reduced postprandial insulin response when compared to both prolonged sitting and prolonged standing. The reduction in insulin response when compared to prolonged sitting is in line with previously summarised literature [8]. However, the fact that prolonged standing did not seem to offer any benefit to glucose metabolism when compared to prolonged sitting provides support to the idea that standing is less likely to result in beneficial metabolic effects in healthy participants [28]. The lack of reduction in postprandial glucose is in contrast to the results of several other studies [8], however, many of the earlier studies provided very high levels of carbohydrate. It is possible that–particularly in healthy individuals–it is harder to observe reductions in glucose response when meals are closer in composition to what would be consumed in real life. However, it is important to keep in mind that while the glucose response is not significantly different, the insulin response is reduced with regular activity breaks indicating an acute improvement in insulin sensitivity. It seems likely that the maintained increase in blood flow in the lower limb seen with regular activity breaks is helping to facilitate increases in non-insulin mediated glucose uptake [29, 30], which if maintained with habitual behaviour may have important implications on overall cardio-metabolic health.

The results of the current study indicate that even healthy individuals benefit from interrupting sedentary time with brisk walking. Perhaps instead of providing standing desks to individuals who sit for prolonged periods at work, we should be redesigning the physical and psychosocial occupational landscapes to provide employees with opportunities to regular interrupt periods of prolonged sitting with short bouts of physical activity [31].

Limitations and delimitations

Consideration should be given to the following aspects of the study design that may have influenced the results. Our study assessed acute responses to a 6-h period of sitting, standing and performing regular activity breaks. While this duration of standing is one of the longer assessed in this context, the chronic impact of these patterns of activity on vascular function and glycemia response are yet to be fully elucidated. The study included only young, healthy participants. There has been suggestion that participants who are less metabolically healthy may have larger positive responses to interventions that interrupt prolonged sitting [28], and therefore, the magnitude of the responses reported here may underestimate the response in the population as a whole. We did not adjust for sex in our analysis, nor did we control for menstrual cycle. While the cross-over design somewhat eliminated the need to adjust for sex, non-adjustment or control for menstrual phase may have introduced variability [32], future studies should consider evaluating any effects of menstrual cycle phase. We used changes in muscle mass measured via bioelectrical impedance to represent fluid shifts in the lower limb. Future studies should consider more direct measurements of limb edema and consider assessing leg symptoms. We did not adjust for multiple comparisons in the statistical analysis. While some arguments support this approach [33], small differences between interventions should be interpreted with caution. Leg movement was not controlled across any of the interventions, nor was it quantified so that it could be included in statistical modelling. It is possible that if we limited fidgeting of the lower limb, or at least adjusted for it statistically that this would have removed some of the noise in our measurements [25]. However, it would have also meant that the results were less likely to represent a real life situation where people are free to move around to a small degree even if their occupational activities mean they are constrained to one posture. The use of an uninterrupted standing intervention, while representing some occupational settings that require continuous standing, does not represent recommendations for the use of standing workstations, which suggest that regular changes in posture are important [10].

Additionally, the acute nature of the study does not consider the long term conditioning that may occur when this behaviour is maintained over days or weeks. However, the results of this study, when combined with others that have investigated the effect of intermittent bouts of standing, reiterate the suggestion that it may be the transitions from sitting to standing that provide the most benefit, rather than the standing itself.

Conclusions

In healthy, normal weight participants regular activity breaks impart benefit to blood flow patterns and postprandial metabolism that are sustained for a longer duration (in the case of blood flow) and are greater magnitude (in the case of insulin metabolism) than seen with prolonged standing. Physical activity and sedentary behaviour messages should perhaps focus more on the importance of moving more, more regularly, rather than simply replacing sitting with standing.

Supporting information

S1 Checklist. CONSORT 2010 checklist of information to include when reporting a randomised trial*.

(DOC)

S1 File. Study data set.

(XLS)

S2 File. Study protocol.

(DOCX)

Acknowledgments

We thank Karin Ongena (Department of Human Nutrition, University of Otago, Dunedin, New Zealand), who assisted with cannula insertion; Michelle Harper, Laboratory Technician (Department of Human Nutrition, University of Otago, Dunedin, New Zealand), who performed the laboratory analyses; and the participants, without whom this study would not have been possible. This research was generously supported by a grant from: University of Otago. MCP was supported by a fellowship from The National Heart Foundation of New Zealand (grant no.1518), with support from the Southland Medical Foundation.

Data Availability

All relevant data are within the manuscript and its Supporting Information files

Funding Statement

This research was generously supported by a grant from: University of Otago. MCP was supported by a fellowship from The National Heart Foundation of New Zealand (grant no.1518), with support from the Southland Medical Foundation. None of these funders had any role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

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Decision Letter 0

Giuseppe Andò

26 Nov 2020

PONE-D-20-21865

Activity breaks but not standing improve postprandial glucose metabolism and lower-limb vascular function in an acute setting: a randomized cross-over trial

PLOS ONE

Dear Dr. Peddie,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Both reviewers have raised concerns about data presentation and sample size calculation. In addition, Reviewer 2 underscores thinned to put in perspective the present study, as it may have important implication for public health. 

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Reviewer #1: Partly

Reviewer #2: Yes

**********

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Reviewer #1: I Don't Know

Reviewer #2: Yes

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Reviewer #1: This is an interesting report on a trial of different approaches for vascular function etc.

The title appears to report solely on a secondary outcome - this is misleading and selective reporting. The primary outcome is stated and apparently there is no significant effect. Consequently the title needs to reflect the primary hypothesis. The conclusion needs to accept that the trial stands or falls by the primary hypothesis. It needs rewording to be fair.

The analysis needs to report the overall contrast p-value before pairwise results (eg. abstract and the blood flow results) as pairwise analyses depend on the reference category.

I cannot understand the sample size calculation - FMD already appears to be a percentage, so what does a 15% difference mean here - it seems a lot larger than the actual FMD percentages, but the standard deviation and the test are missing.

There appear to be some issues with normality of data as the sd appears to be more than half the mean in some cases implying outliers that may have great leverage. What was done to allow for this? Given the small number of observations, what was done about this in the linear mixed models, as it is well known that for example ANOVA gives more significant p-values than t-tests on this sort of variable.

Given that we are looking at changes, the actual change and sd would helpfully be given. Please give effect sizes and CI wherever possible.

One assumes that treatment by period interactions were non-significant here?

In looking at percentage changes, this seems to be looked at as a linear variable, but percentage change is not normally distributed as it involves a reciprocal. It also depends very much on the size of the baseline; why are relative changes not logged?

Why for net shear rate is the estimate (-19%) not in the confidence interval (-13 to 48%)?

Is tjere a typo in Table 4 - incremental glucose AUC for regular activity - why is it ten times larger?

Reviewer #2: MS: PONE-D-20-21865 The study presented by Meredith C Peddie and coll. seems to be of interest; indeed, this question raised on the sedentary behavior, but also on the work-related constraints, could highlight a wider public health problem.

The paper is overall well written, and the study protocol seems to be well conducted.

Some question about:

Is your standard study protocol brand new or is it a protocol already used or tested, e.g. to evaluate other aspects in other studies?

About Meals: were food and drinks standardized anyway, or enrolled subjects were free to drink and eat anything? The author listed what the participants consumed, but it is unclear if each participant consumed all they listed consistently.

About Flow Mediated Dilation (FMD): authors didn’t specified the site of measurement.

About statistics: the statistical approach was not specified. Please consider the variable(s) distribution and sample size(s).

“Meals were fed at 0 and 240 min”: can the authors derive any implication –mainly on the insulin incretion – of 4-hrs fasting? Any to be corrected for in the statistics in order to evaluate the effect size of the intervention?

“This is the first study to measure the time course of the vascular and metabolic responses to Prolonged Sitting, Prolonged Standing and Regular Activity Breaks, and after consumption of a high-carbohydrate meal”. As general concept, since the authors did not mention the pulse wave velocity nowhere in the text, I think the this aspect deserve at least to be introduced.

“or the two toilet breaks were enough to mitigate the effects of sitting for long periods”: can you specify whether ALL participants had two allowed toilet breaks?

Last: I think the very strength of this study is to translate the protocol in suggestions for healthy and unhealthy people, but also for workers and employers.

Please thoroughly check your manuscript to fix any typo and grammar error.

**********

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Reviewer #1: No

Reviewer #2: No

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Attachment

Submitted filename: Rev_Pone-D-20-21865.docx

PLoS One. 2021 Jan 4;16(1):e0244841. doi: 10.1371/journal.pone.0244841.r002

Author response to Decision Letter 0


15 Dec 2020

Thank you for the opportunity to revise out manuscript. Below is a point by point response to each of the suggestions made by the editor and reviewers.

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

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https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Response: Changes have been made to the title page and to the name of the files in accordance with these templates

2. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data.

Response: Means and standard deviations have been added to the manuscript, and the appropriate data added to the data set which is S1_File.

3. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

Response: Supporting information file captions have been added to the end of the manuscript.

Reviewers' comments:

Reviewer #1: This is an interesting report on a trial of different approaches for vascular function etc.

The title appears to report solely on a secondary outcome - this is misleading and selective reporting. The primary outcome is stated and apparently there is no significant effect. Consequently the title needs to reflect the primary hypothesis. The conclusion needs to accept that the trial stands or falls by the primary hypothesis. It needs rewording to be fair.

Response: The title has now been reworded to: The effects of prolonged sitting, prolonged standing, and activity breaks on vascular function, and postprandial glucose and insulin responses: A randomised crossover trial.

The analysis needs to report the overall contrast p-value before pairwise results (eg. abstract and the blood flow results) as pairwise analyses depend on the reference category.

Response: p-values have been added for overall intervention effect in the abstract and for the shear rate and muscle mass results. Overall intervention effect p values are reported in the Table 3 and 4 for other variables.

I cannot understand the sample size calculation - FMD already appears to be a percentage, so what does a 15% difference mean here - it seems a lot larger than the actual FMD percentages, but the standard deviation and the test are missing.

Response: Apologies for the confusing wording here – the sample size calculation has been reworded and now reads: A sample size of 18 participants provided 80% power to detect a 0.85 reduction in Dbase-adjusted FMD (α=0.05) assuming a sample size of 1.0, using a test of paired comparisons, and allowing three participants to complete the three interventions in each of the 6 possible intervention orders.

There appear to be some issues with normality of data as the sd appears to be more than half the mean in some cases implying outliers that may have great leverage. What was done to allow for this? Given the small number of observations, what was done about this in the linear mixed models, as it is well known that for example ANOVA gives more significant p-values than t-tests on this sort of variable.

Response: The assumption of mixed model regression is that the residuals are normally distributed, not the variables themselves. The normality of residuals was checked for all models, and the only variable that required log transformation were the insulin variables. The following has been added to the statistical analysis section to clarify this point: The assumptions of regression models were checked for every model and found to be met for all models other than insulin (in which the residuals were skewed). Log transformation addressed the non-normality to a large extent, but robust standard errors were used to allow for small deviations from normality. For consistency robust standard errors were then used in all models.

Given that we are looking at changes, the actual change and sd would helpfully be given. Please give effect sizes and CI wherever possible.

Response: Changes from baseline (with standard deviations) are reported for FMD, blood flow and diameter variables, For these, and all other variables for which there was a significant effect of intervention, differences and 95% confidence intervals between interventions are reported.

One assumes that treatment by period interactions were non-significant here?

Response: When using mixed model regression it is usual practice to check for period and order effects individually, not using an interaction term. The following has been added to the statistical analysis section to clarify the fact that order and period effects have been assessed. For all mixed models period and order affects were assessed individually and found not to have an important effect, however, for completeness order was included as a predictor in all final models.

In looking at percentage changes, this seems to be looked at as a linear variable, but percentage change is not normally distributed as it involves a reciprocal. It also depends very much on the size of the baseline; why are relative changes not logged?

Response: Percentage differences for flow and AUC variables are presented for ease of interpretation. Analysis was run with the absolute variables, with differences between interventions converted to percentages post hoc because the units of flow and area under the curve are often difficult to interpret. This has been clarified in the statistical analysis section. For example:. For ease of interpretation, differences in flow between interventions converted to percentages post-hoc.

Why for net shear rate is the estimate (-19%) not in the confidence interval (-13 to 48%)?

Response: Apologies this is a typo which has not been corrected. The estimate is 19% not -19%

Is tjere a typo in Table 4 - incremental glucose AUC for regular activity - why is it ten times larger?

Response: Thank you for identifying this error – it has now been corrected.

Reviewer #2: MS: PONE-D-20-21865 The study presented by Meredith C Peddie and coll. seems to be of interest; indeed, this question raised on the sedentary behavior, but also on the work-related constraints, could highlight a wider public health problem.

The paper is overall well written, and the study protocol seems to be well conducted.

Some question about:

Is your standard study protocol brand new or is it a protocol already used or tested, e.g. to evaluate other aspects in other studies?

Response: Some elements of the study design are very similar to our previous work looking at the effects of activity breaks on postprandial glucose and insulin responses, however, other aspects – particularly those related to the assessment of artery hemodynamics are new.

About Meals: were food and drinks standardized anyway, or enrolled subjects were free to drink and eat anything? The author listed what the participants consumed, but it is unclear if each participant consumed all they listed consistently.

Response: The description of the meals has been reworded to make the standardisation of food and drink clearer. It now reads: All participants consumed the same breakfast (muesli, trim milk, juice, toast, margarine and honey) at baseline, and a snack (chocolate brownie) at four hours. The breakfast and snack combined provided 4697 kJ energy, 170 g carbohydrate (62% energy) and 35 g fat (28% energy). Gluten-free alternatives were provided on request (n=3) and provided 4716 kJ energy, 180 g carbohydrate and 33 g fat. All food was consumed withing 15 min by all participants, and no other food was consumed over this time. Water intake was provided ad libitum during the first session and then replicated in all subsequent sessions.

About Flow Mediated Dilation (FMD): authors didn’t specified the site of measurement.

Response: The site of measurement has been added. The first sentence of the description of measurement of FMD now reads: Flow mediated dilation was measured in the popliteal fossa following published guidelines (23) at baseline and 360 min, after the participant had rested quietly for >10 min in a left lateral recumbent position.

About statistics: the statistical approach was not specified. Please consider the variable(s) distribution and sample size(s).

Response: Mixed model regression was used to compare the effects of different interventions on each outcome of interest. The assumptions of these models were checked and found to be met (except in the case on insulin, where log transformation and the use of robust standard errors were used to account for skewed residuals) To provide clarity around these issues the statistical analysis section now reads: For all mixed models period and order affects were assessed individually and found not to have an important effect, however, for completeness order was included as a predictor in all final models. The assumptions of regression models were checked for every model and found to be met for all models other than insulin (in which the residuals were skewed). Log transformation addressed the non-normality to a large extent, but robust standard errors were used to allow for small deviations from normality. For consistency robust standard errors were then used in all models. No adjustment was made for multiple comparisons.

“Meals were fed at 0 and 240 min”: can the authors derive any implication –mainly on the insulin incretion – of 4-hrs fasting? Any to be corrected for in the statistics in order to evaluate the effect size of the intervention?

Response: The outcome of interest in this study was the effect of the three interventions on insulin AUC over the entire 6 hour period, therefore the effects of the 4 h of fasting was not investigated – particularly given this pattern of meal consumption was standardised across the three conditions.

“This is the first study to measure the time course of the vascular and metabolic responses to Prolonged Sitting, Prolonged Standing and Regular Activity Breaks, and after consumption of a high-carbohydrate meal”. As general concept, since the authors did not mention the pulse wave velocity nowhere in the text, I think the this aspect deserve at least to be introduced.

Response: In this case we are using the term vascular response to refer to the artery hemodynamics including shear rate, flow, and diameter and endothelial function assessed via FMD. Pulse wave velocity was not measured in this study.

“or the two toilet breaks were enough to mitigate the effects of sitting for long periods”: can you specify whether ALL participants had two allowed toilet breaks?

Response: In the methods section it is specified that all participants made the walk to the bathroom at the specified times, regardless of whether they needed to use the bathroom. To re-clarfiy this in the discussion a modification to wording has been made. It now reads: It is unclear as to why the 6-h sitting intervention did not reduce FMD. Perhaps in this young, otherwise healthy, homogeneous population, the stimulus was insufficient to evoke an impairment, or the walk to the toilet on two occasions (performed by every participant regardless of need) was enough to mitigate the effects of sitting for long periods.

Last: I think the very strength of this study is to translate the protocol in suggestions for healthy and unhealthy people, but also for workers and employers.

Response: Thank you for this thoughtful suggestion. The following paragraph has been added to the discussion: The results of the current study indicate that even healthy individuals benefit from interrupting sedentary time with brisk walking. Perhaps instead of providing standing desks to individuals who sit a lot at work, we should be redesigning the physical and psychosocial occupational landscapes to provide employees with opportunities to regular interrupt periods of prolonged sitting with short bouts of activity (31)

Please thoroughly check your manuscript to fix any typo and grammar error.

Response: Typos and errors have been corrected where identified.

Attachment

Submitted filename: Response to PLOS One reviewers.docx

Decision Letter 1

Giuseppe Andò

18 Dec 2020

The effects of prolonged sitting, prolonged standing, and activity breaks on vascular function, and postprandial glucose and insulin responses: A randomised crossover trial.

PONE-D-20-21865R1

Dear Dr. Peddie,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Giuseppe Andò, M.D., Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Giuseppe Andò

22 Dec 2020

PONE-D-20-21865R1

The effects of prolonged sitting, prolonged standing, and activity breaks on vascular function, and postprandial glucose and insulin responses: A randomised crossover trial.

Dear Dr. Peddie:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Giuseppe Andò

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Checklist. CONSORT 2010 checklist of information to include when reporting a randomised trial*.

    (DOC)

    S1 File. Study data set.

    (XLS)

    S2 File. Study protocol.

    (DOCX)

    Attachment

    Submitted filename: Rev_Pone-D-20-21865.docx

    Attachment

    Submitted filename: Response to PLOS One reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files


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