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Library›Open textbooks›A multicomponent structured health behaviour intervention to improve physical activity in long-distance HGV drivers: the SHIFT cluster RCT›Results

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A multicomponent structured health behaviour intervention to improve physical activity in long-distance HGV drivers: the SHIFT cluster RCT · Results

Results

CC BY 4.0 · National Institute for Health and Care Research · approximately 52 min read

Parts of this chapter have been reproduced from Clemes et al.105 This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: https://creativecommons.org/licenses/by/4.0/. The text below includes minor additions and formatting changes to the original text.

Internal pilot

Site recruitment for the internal pilot phase, which involved six sites, commenced in August 2017, with participant recruitment across these sites commencing in October 2017. Participants consented into the study and baseline measurements were undertaken between January and August 2018. A delay in recruitment was experienced in one site. Baseline measurements were undertaken in five sites between January and April 2018 and between July and August 2018 in one site.

Data regarding worksite and participant recruitment, randomisation, compliance to the primary outcome and retention rates at 6 months’ follow-up were examined to determine whether or not the trial should progress to the main trial phase. The study’s TSC agreed to base the progression criteria review on the baseline data collected from all six sites, which included site and participant recruitment numbers and activPAL compliance data, and to base the follow-up progression criteria (in terms of retention rates and activPAL compliance at follow-up) on the data collected from the five sites that had completed the 6-month follow-up measures by November 2018. This enabled the progression criteria to be reviewed by the end of 2018, as opposed to waiting until March 2019, when the follow-up measures were due to be completed in the final site, thereby minimising further delays to the trial.

Recruitment, compliance and retention outcomes

Table 4 summarises the recruitment, compliance and retention outcomes observed from the internal pilot sites. Outcomes were reviewed by the TSC on the 11 December 2018; on the basis of the data reviewed, the TSC recommended continuation of the trial.

TABLE 4 Progression criteria results from the internal pilot
Progression criterionObserved outcome
All 24 sites required for the full sample size agree to take part in the studyTwenty-four sites were identified and agreed to participate in the trial by November 2018. Following agreement by the TSC, an additional site was recruited into the main trial phase because of participants in one pilot site (a BP site) not being able to wear the activPAL during working hours for health and safety reasons
A minimum of 84 drivers agree to participate in the internal pilotNinety-eight drivers across the six internal pilot sites provided informed consent and participated in the baseline measures, of which 84% provided valid activPAL data at baseline
An average of 75% of drivers, randomised into the intervention arm, attended the education session across three intervention depotsSeventy-four per cent of drivers in the intervention sites attended the education workshop
No more than 20% of participants fail to provide valid data for the primary outcome measure (i.e. activPAL-determined step counts) at baseline and at 6 months’ follow-up, or withdraw or are lost to follow-up during the 6-month intervention phase Across the five sites completing the 6-month follow-up assessments by November 2018, 57% of participants provided valid activPAL data at baseline and follow-up Strategies were discussed with, and approved by, the TSC for how activPAL compliance could be improved for the main trial phase

Main trial

Participant recruitment

Participant recruitment across the remaining 19 sites commenced in January 2019, and baseline measurements for participants consented into the study were undertaken across these sites between February and July 2019.

As experienced in the internal pilot, a number of delays were encountered during the main trial phase. The delays were predominantly associated with challenges across sites in scheduling drivers for their measurement sessions, which required drivers to be released from their duties for 2 hours. The challenges were further exacerbated in the sites randomised to the SHIFT arm, which required drivers to attend the 6-hour structured education session, which was scheduled during work time. As a consequence, delays in the 6-month follow-up measures were experienced across the majority of sites.

Overall cluster and participant numbers

Figure 2 shows the flow of all participants through the study, combining data from the internal pilot and main trial phases. Overall, 386 participants across 25 clusters (i.e. sites) were recruited and consented into the study. The 25 sites were located across the Midlands region of the UK (1502 drivers were employed across these sites), and the sites operated within the transport, retail, hospitality, health-care, pharmaceutical, construction, oil and gas, and automotive industries. Of the 386 participants recruited, 382 participants were randomised into the two trial arms and four participants withdrew prior to randomisation. Thirteen sites (n = 199 participants) were randomised to the control arm and 12 sites (n = 183 participants) were randomised to the SHIFT arm. Between baseline and 6-month follow-up measures, two sites (i.e. one intervention site and one control site) dropped out of the trial. For both sites, this was because of site closures due to the collapse of the contracting companies.

FIGURE 2 A CONSORT diagram of participant flow through the study. (Figure not reproduced here; see the original article.)

Baseline characteristics

Characteristics of the clusters and baseline demographic characteristics of participants within each trial arm, and overall, are shown in Table 5. Table 6 displays the biometric measurements collected from the sample overall, and according to trial arm, at baseline. Table 7 displays the accelerometer-derived measures (i.e. physical activity, sitting time and sleep) collected at baseline. Descriptive comparisons between baseline characteristics of participants completing the trial and non-completers are shown in Appendix 1, Table 42. There were no noticeable differences between completers (i.e. participants who provided valid activPAL data at baseline and at 6 months) and non-completers in terms of cluster size, age, BMI, number of years as a HGV driver and number of steps per day at baseline.

TABLE 5 Cluster characteristics and demographic characteristics of participants per trial arm and overall at baseline
CharacteristicTrial armOverall (clusters, n = 25; participants, n = 382)
Control (clusters, n = 13; participants, n = 199)SHIFT intervention (clusters, n = 12; participants, n = 183)
Cluster level
Cluster size category, n (%)
 Small (< 40 drivers)81 (40.7)93 (50.8)174 (45.6)
 Large (≥ 40 drivers)118 (59.3)90 (49.2)208 (54.4)
Participant level
Cluster size
 Median (IQR)14 (12–17)14 (13–17)14 (13–17)
 Minimum, maximum9, 2411, 259, 25
Age (years), mean (SD)48.3 (9.7)48.6 (9.1)48.4 (9.4)
Sex, n (%)
 Male196 (98.5)182 (99.5)378 (99.0)
 Female3 (1.5)1 (0.5)4 (1.0)
Ethnicity, n (%)
 White British154 (77.4)152 (83.1)306 (80.1)
 Other ethnicity45 (22.6)30 (16.4)75 (19.6)
Shift pattern, n (%)
 Morning146 (73.4)124 (67.8)270 (70.7)
 Afternoon29 (14.6)31 (16.9)60 (15.7)
 Night35 (17.6)45 (24.6)80 (20.9)
Duration working at DHL Supply Chain (years), median (IQR)6.17 (3.67–11.50)9.30 (4.06–14.27)7.75 (3.88–13.42)
Duration working as a HGV driver (years), median (IQR)15.00 (6.00–26.00)17.00 (10.00–25.02)16.00 (9.00–25.17)
Average hours worked per week, median (IQR)48 (45–50)48 (45–50)48 (45–50)
IMD rank, median (IQR)16,779.0 (8499.5–22,903.5)16,040.0 (7934.0–22,171.0)16,591.0 (8165.0–22,544.0)
Marital status, n (%)
 Married133 (66.8)113 (61.8)246 (64.4)
 Living with partner34 (17.1)31 (16.9)65 (17.0)
 Separated/divorced9 (4.5)13 (7.1)22 (5.8)
 Single22 (11.1)25 (13.7)47 (12.3)
 Widowed1 (0.5)1 (0.6)2 (0.5)
Level of education: degree or above, n (%)16 (8.0)10 (5.5)26 (6.8)
Diabetes history: yes, n (%)a15 (7.5)9 (4.9)24 (6.3)
Smoking status, n (%)
 Never smoked73 (36.7)77 (42.1)150 (39.3)
 Ex-smoker84 (42.2)73 (39.9)157 (41.1)
 Current smoker42 (21.1)32 (17.5)74 (19.4)
TABLE 6 Biometric measurements collected from the sample overall and per trial arm at baseline
Biometric measurementMissing values (n)Trial armOverall (clusters, n = 25; participants, n = 382)
Control (clusters, n = 13; participants, n = 199)SHIFT intervention (clusters, n = 12; participants, n = 183)
Anthropometric measures and markers of adiposity
 Weight (kg), median (IQR)294.0 (84.2–106.9)95.7 (84.0–106.4)94.8 (84.1–106.5)
 Body fat (%), mean (SD)1126.8 (5.8)27.3 (6.0)27.0 (5.9)
 Fat mass (kg), median (IQR)1125.3 (19.6–32.3)25.6 (19.9–32.7)25.5 (19.6–32.4)
 Fat-free mass (kg), mean (SD)1269.3 (8.6)69.6 (7.8)69.5 (8.2)
 BMI (kg/m2), median (IQR)229.6 (27.0–32.8)29.9 (26.9–33.7)29.8 (26.9–33.2)
 Waist circumference (cm), median (IQR)2104.4 (94.6–113.1)103.0 (95.0–113.5)103.7 (95.0–113.4)
 Hip circumference (cm), median (IQR)2106.5 (101.0–111.8)107.5 (103.0–114.0)107.0 (102.0–112.5)
 Waist–hip ratio (cm), mean (SD)20.97 (0.07)0.97 (0.07)0.97 (0.07)
 Neck circumference (cm), median (IQR)240.2 (38.9–42.5)41.0 (38.3–42.5)40.5 (38.4–42.5)
Resting blood pressure and heart rate
 Systolic blood pressure (mmHg), median (IQR)2130 (122–140)130 (122–138)130 (122–139)
 Diastolic blood pressure (mmHg), median (IQR)282 (76–90)81 (76–88)82 (76–88)
 Heart rate (b.p.m.), mean (SD)468 (10)68 (10)68 (10)
Biochemical assessments, median (IQR)
 HbA1c (mmol/mol)1435 (32–38)34 (31–38)35 (31–38)
 HbA1c (%)145.4 (5.1–5.6)5.3 (5.0–5.6)5.4 (5.0–5.6)
 Triglycerides (mmol/l)51.3 (1.0–2.1)1.3 (0.9–2.1)1.3 (0.9–2.1)
 HDL-C (mmol/l)51.1 (1.0–1.4)1.1 (1.0–1.4)1.1 (1.0–1.4)
 LDL-C (mmol/l)62.8 (2.3–3.5)2.8 (2.4–3.5)2.8 (2.3–3.5)
 Total cholesterol (mmol/l)54.4 (3.8–5.1)4.4 (3.8–5.1)4.4 (3.8–5.1)
TABLE 7 Accelerometer-derived measurements collected from the sample overall and per trial arm at baseline
Accelerometer measurementMissing values (n)Trial armOverall (clusters, n = 25; participants, n = 382)
Control (clusters, n = 13; participants, n = 199)SHIFT intervention (clusters, n = 12; participants, n = 183)
Physical activity and sitting time
 Steps/day, median (IQR)418471 (6774–10,160)8725 (7033–11,298)8583 (6922–10,696)
 Sitting (minutes/day), mean (SD)41678 (91)651 (97)665 (95)
 Prolonged (i.e. ≥ 30 minutes) sitting (minutes/day), mean (SD)41428 (118)389 (128)409 (124)
 Standing (minutes/day), median (IQR)41195 (165–238)213 (180–244)203 (169–243)
 Stepping (minutes/day), median (IQR)41112 (90–134)116 (93–149)114 (92–139)
 Number of sit-to-stand transitions (transitions/day), median (IQR)4149 (38–59)47 (39–58)48 (39–58)
 MVPA (minutes/day), median (IQR)4110 (6–18)11 (6–21)10 (6–19)
 Light physical activity (minutes/day), median (IQR)4197 (81–114)102 (83–129)99 (82–123)
 Number of valid days, median (IQR)418 (6–8)7 (5–8)7 (6–8)
 Waking wear time (minutes/day), median (IQR)41993 (955–1033)989 (950–1022)990 (953–1032)
 Sitting (%/day), median (IQR)4169 (64–73)67 (61–72)68 (62–72)
 Prolonged (≥ 30 minutes) sitting (%/day), median (IQR)4163 (56–70)62 (51–69)63 (54–70)
 Standing (%/day), median (IQR)4120 (16–24)22 (18–25)21 (17–24)
 Stepping (%/day), median (IQR)4111 (9–13)11 (10–15)11 (9–14)
Sleep, median (IQR)
 Sleep window duration (minutes/day)36426 (393–465)424 (387–459)425 (390–460)
 Sleep duration (minutes/day)36371 (336–405)371 (340–407)371 (337–406)
 Sleep efficiency (%)3688.5 (84.2–91.3)88.9 (84.6–92.0)88.6 (84.3–91.5)
 Number of valid nights366 (6–6)6 (5–6)6 (6–6)

Primary outcome analysis

A mixed-effect linear regression model revealed a statistically significant difference in mean daily step counts at 6 months’ follow-up, in favour of the SHIFT group [SHIFT group mean change: 32 (SD 2939) steps/day; control group mean change: –716 (SD 2109) steps/day], in the complete-case analysis (1008 steps/day, 95% CI 145 to 1871 steps/day; p = 0.022) (Table 8). The ICC for the model was 0.112. Mixed results were seen in the ITT and per-protocol analyses (see Table 8).

TABLE 8 Summary of primary outcome results from the mixed-effect linear regression models
AnalysisNumber of clustersNumber of participantsBaseline, mean (SD)6-month follow-up, mean (SD)Mean (SD) change from baseline to 6 monthsaSHIFT intervention vs. control at 6 months
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionAdjusted mean difference (95% CI)bp-value
Primary analysis (complete case)c1312119908932 (2922)9355 (3305)8216 (2767)9387 (3455)–716 (2109)32 (2939)1008 (145 to 1871)0.022
Per protocolc122982d8887 (2856)9531 (263)8175 (2758)9613 (1231)–711 (2002)82 (1494)929 (–1705 to 3563)0.489
ITT c
 Multiple imputatione1312199183335 (–471 to 1141)0.414
 Worst-case scenario13121991838788 (2843)9394 (3134)8244 (2270)8846 (2527)–544 (2499)–548 (3056)399 (–129 to 927)0.139
 Best-case scenario13121991838788 (2843)9464 (3127)8244 (2270)9344 (2466)–543 (2499)–120 (2985)868 (398 to 1338)< 0.001
Sensitivity analyses: effect of number of valid activPAL days (complete case)
 ≥ 2 days1312118888960 (2919)9427 (3291)8238 (2768)9411 (3488)–722 (2117)–16 (2949)981 (102 to 1860)0.029
 ≥ 3 days1312116878925 (2921)9459 (3296)8278 (2770)9456 (3484)–647 (2015)–4 (2963)906 (27 to 1784)0.043
 ≥ 4 days1312113798832 (2877)9385 (3290)8179 (2710)9480.69 (3509)–653 (2020)96 (3028)973 (76 to 1870)0.034

Sensitivity analyses

Sensitivity analyses showed similar results to the primary analysis, with significant differences observed between groups in terms of daily step counts measured at 6 months’ follow-up, when including participants with ≥ 2, ≥ 3 and ≥ 4 valid days of activPAL data (see Table 8).

Secondary outcomes: statistical analyses

activPAL-assessed secondary outcomes

Steps per day, time spent sitting, standing and stepping, and time in light physical activity and MVPA across all monitored days

In complete-case analyses, at 6 months’ follow-up, a series of mixed-effect linear regression models revealed statistically significant differences in favour of the SHIFT group in time spent sitting, standing and stepping, and time in MVPA. At 6 months, daily sitting time was significantly shorter in the SHIFT arm (–24 minutes/day, 95% CI –43 to –6 minutes/day), whereas times spent standing (14 minutes/day, 95% CI 2 to 26 minutes/day) and stepping (11 minutes/day, 95% CI 2 to 21 minutes/day) and time in MVPA (6 minutes/day, 95% CI 0.3 to 11 minutes/day) were greater, than in the control arm. There were no statistically significant differences between groups at 6 months’ follow-up in time spent in light physical activity (Table 9). There were no statistically significant differences observed between groups in activPAL variables at 16–18 months’ follow-up (see Table 9).

TABLE 9 Summary of key daily activPAL secondary outcome results from mixed-effect linear regression models
Daily variableNumber of clustersNumber of participantsBaseline, mean (SD)Follow-up, mean (SD)Mean (SD) change from baseline to follow-upaSHIFT intervention vs. control
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionAdjusted mean difference (95% CI)bp-value
Steps/dayc
 16–18 months121090748978 (3226)9663 (3122)8789 (3148)9259 (3105)–189 (2169)–404 (2688)94 (–878 to 1066)0.849
Time (minutes/day) spent sittingc
 6 months131211990675 (92)664 (92)696 (87)655 (93)21 (79)–9 (77)–24 (–43 to –6)0.011
 16–18 months12109074676 (97)651 (87)679 (98)647 (77)4 (82)–4 (90)–12 (–34 to 9)0.268
Time (minutes/day) spent standingc
 6 months131211990204 (55)209 (53)194 (56)210 (61)–10 (37)1 (48)14 (2 to 26)0.024
 16–18 months12109074200 (54)216 (61)197 (58)211 (64)–3 (45)–5 (77)11 (–5 to 27)0.183
Time (minutes/day) spent steppingc
 6 months131211990116 (34)122 (40)107 (32)122 (40)–8 (23)–0.4 (32)11 (1 to 21)0.024
 16–18 months12109074117 (36)125 (38)114 (37)120 (36)–2 (22)–5 (31)1 (–9 to 11)0.818
Time (minutes/day) in LPAc
 6 months131211990101 (29)107 (34)94 (28)104 (33)–6 (19)–3 (25)5 (–2 to 12)0.152
 16–18 months12109074102 (29)109 (34)100 (32)104 (32)–2 (18)–5 (26)–1 (–8 to 7)0.863
Time (minutes/day) in MVPAc
 6 months13121199015 (15)15 (14)13 (10)18 (18)–2 (14)3 (19)6 (0.3 to 11)0.038
 16–18 months1210907414 (15)16 (14)14 (13)16 (16)–1 (15)–0.1 (16)2 (–3 to 7)0.539

Steps per day, time spent sitting, standing and stepping, and time in light physical activity and MVPA on workdays

There were no statistically significant differences observed between groups in any activPAL variables measured on workdays at 6 months’ follow-up or at 16–18 months’ follow-up (Table 10).

TABLE 10 Summary of key workday activPAL secondary outcome results from mixed-effect linear regression models
Daily variableNumber of clustersNumber of participantsBaseline, mean (SD)Follow-up, mean (SD)Mean (SD) change from baseline to follow-upaSHIFT intervention vs. control
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionAdjusted mean difference (95% CI)bp-value
Steps/dayc
 6 months1312111849308 (3154)9547 (3458)8890 (3041)9357 (3241)–418 (2046)–190 (2649)541 (–269 to 1351)0.190
 16–18 months121088669394 (3177)9881 (3472)9491 (3388)9456 (3390)97 (2817)–425 (3067)–325 (–1578 to 928)0.611
Time (minutes/day) spent sittingc
 6 months131211184720 (95)713 (118)740 (94)700 (96)20 (83.41)–13 (101)–14 (–36 to 8)0.215
 16–18 months12108866718 (98)701 (122)726 (117)707 (91)8 (97)6 (115)0.1 (–22 to 22)0.995
Time (minutes/day) spent standingc
 6 months131211184191 (58)195 (61)186 (52)194 (59)–5 (52)–2 (60)10 (–3 to 23)0.129
 16–18 months12108866191 (57)201 (68)190 (60)195 (48)–2 (55)–6 (64)3 (–12 to 18)0.708
Time (minutes/day) spent steppingc
 6 months131211184120 (37)124 (43)115 (37)123 (42)–5 (24)–2 (30)7 (–3 to 16)0.162
 16–18 months12108866122 (37)128 (43)122 (40)122 (42)0.05 (32)–5 (31)–3 (–17 to 10)0.621
Time (minutes/day) in LPAc
 6 months131211184105 (35)110 (38)102 (34)109 (40)–3 (22)–1 (26)4 (–5 to 13)0.343
 16–18 months12108866109 (33)112 (39)108 (36)108 (39)–1 (27)–4 (24)–2 (–13 to 8)0.692
Time (minutes/day) in MVPAc
 6 months13121118414 (13)14 (13)13 (10)14 (11)–2 (10)–0.1 (14)2 (–2 to 6)0.357
 16–18 months1210886613 (11)16 (13)14 (11)15 (16)1 (10)–1 (19)–0.4 (–5 to 5)0.875

Steps per day, time spent sitting, standing and stepping, and time in light physical activity and MVPA on non-workdays

In complete-case analyses, at 6 months’ follow-up, mixed-effect linear regression models revealed statistically significant differences in favour of the SHIFT group in daily step counts, time spent sitting and stepping, and time in light physical activity and MVPA on non-workdays. At 6 months, on non-workdays, daily step counts were larger in the SHIFT group than in the control group (2012 steps/day, 95% CI 480 to 3545 steps/day). In the SHIFT group, non-workday sitting time was shorter (–40 minutes/day, 95% CI –65 to –14 minutes/day), whereas time spent stepping was greater (21, 95% CI 6 to 37 minutes/day), as was time in light physical activity (10 minutes/day, 95% CI 2 to 17 minutes/day) and time in MVPA (11 minutes/day, 95% CI 1 to 20 minutes/day), than in the control group. There were no statistically significant differences observed between groups in activPAL variables measured at 16–18 months’ follow-up (Table 11).

TABLE 11 Summary of key non-workday activPAL secondary outcome results from mixed-effect linear regression models
Daily variableNumber of clustersNumber of participantsBaseline, mean (SD)Follow-up, mean (SD)Mean (SD) change from baseline to follow-upaSHIFT intervention vs. control
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionAdjusted mean difference (95% CI)bp-value
Steps/dayc
 6 months1312102778467 (5248)8733 (3894)6897 (3331)9077 (4895)–1570 (4754)344 (4150)2012 (480 to 3545)0.010
 16–18 months12981658348 (5935)9252 (3994)7397 (4116)9096 (4167)–951 (5561)–156 (4031)1392 (–277 to 3060)0.102
Time (minutes/day) spent sittingc
 6 months131210277577 (118)587 (121)610 (131)584 (132)33 (110)–4 (123)–40 (–65 to –14)0.003
 16–18 months1298165585 (122)568 (105)595 (140)563 (114)11 (116)–5 (112)–20 (–62 to 23)0.360
Time (minutes/day) spent standingc
 6 months131210277233 (75)234 (73)214 (88)240 (88)–18 (67)6 (82)20 (–1 to 41)0.059
 16–18 months1298165222 (75)243 (69)213 (84)230 (74)–9 (68)–12 (81)7 (–22 to 36)0.630
Time (minutes/day) spent steppingc
 6 months131210277110 (54)114 (42)93 (40)117 (51)–17 (48)3 (44)21 (6 to 37)0.008
 16–18 months1298165109 (62)120 (42)100 (47)117 (47)–9 (54)–3 (47)14 (–5 to 32)0.155
Time (minutes/day) in LPAc
 6 months13121027793 (36)96 (31)81 (33)94 (35)–12 (31)–2 (31)9 (2 to 17)0.017
 16–18 months129816592 (42)101 (32)87 (39)97 (40)–5 (27)–3 (40)5.28 (–7 to 17)0.381
Time (minutes/day) in MVPAc
 6 months13121027717 (37)18 (21)12 (14)23 (29)–6 (37)4 (29)11 (1 to 20)0.027
 16–18 months129816517 (42)19 (22)13 (21)20 (21)–4 (45)0.5 (18)6 (–2 to 14)0.123

Anthropometry and markers of adiposity

There were no statistically significant differences observed between groups in anthropometric measures or markers of adiposity at 6 months’ follow-up, although differences in weight and BMI were marginal, with these differences being in favour of the SHIFT group (weight: –1.2 kg, 95% CI –2.6 kg to 0.1 kg; BMI: –0.35 kg/m2, 95% CI –0.75 kg/m2 to 0.05 kg/m2) (Table 12).

TABLE 12 Summary of adiposity-related secondary outcome results from mixed-effect linear regression models
Anthropometric measureNumber of clustersNumber of participantsBaseline, mean (SD)Follow-up, mean (SD)Mean (SD) change from baseline to follow-upaSHIFT intervention vs. control
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionAdjusted mean difference (95% CI)bp-value
Weight (kg)
 6 months131214311294.9 (17.5)96.9 (16.0)94.8 (17.4)95.5 (16.2)–0.1 (4.48)–1.4 (5.2)–1.2 (–2.6 to 0.1)0.078
BMI (kg/m2)
 6 months131214311229.9 (5.2)30.7 (5.0)29.9 (5.1)30.3 (5.1)–0.0 (1.4)–0.4 (1.6)–0.4 (–0.8 to 0.1)0.086
Per cent body fat
 6 months13101419626.3 (5.9)27.3 (5.9)26.4 (6.0)27.1 (5.8)0.1 (1.7)–0.2 (2.0)–0.2 (–0.7 to 0.3)0.435
Waist circumference (cm)
 6 months1311143103103.7 (13.7)104.9 (12.7)103.8 (13.9)103.6 (12.7)0.1 (5.1)–1.3 (6.7)–1.1 (–2.7 to 0.5)0.195

Biochemical assessments

There were no statistically significant differences observed between groups in any biochemical measures at 6 months’ follow-up (Table 13).

TABLE 13 Summary of biochemical secondary outcome results from mixed-effect linear regression models
Biochemical measureNumber of clustersNumber of participantsBaseline, mean (SD)Follow-up, mean (SD)Mean (SD) change from baseline to follow-upaSHIFT intervention vs. control
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionAdjusted mean difference (95% CI)bp-value
HbA1c (mmol/mol)
 6 months13101398936.8 (9.4)35.6 (10.3)37.1 (10.4)35.0 (9.0)0.2 (6.0)–0.6 (6.9)–1.9 (–4.9 to 1.2)0.229
Triglycerides (mmol/l)
 6 months1310143981.7 (1.1)1.6 (0.9)1.7 (1.1)1.7 (1.1)0.1 (1.0)0.04 (0.9)–0.08 (–0.3 to 0.2)0.530
HDL-C (mmol/l)
 6 months1310143981.2 (0.4)1.2 (0.3)1.3 (0.3)1.3 (0.3)0.02 (0.2)0.1 (0.2)0.04 (–0.02 to 0.1)0.241
LDL-C (mmol/l)
 6 months1310143982.9 (0.8)2.8 (0.8)2.9 (0.9)2.8 (0.9)–0.01 (0.9)–0.03 (0.8)0.0 (–0.2 to 0.2)0.973
Total cholesterol (mmol/l)
 6 months1310143984.4 (0.9)4.4 (0.9)4.5 (1.0)4.4 (1.0)0.02 (0.9)0.1 (0.9)0.02 (–0.2 to 0.2)0.868

Dietary quality and fruit and vegetable intake

There were no statistically significant differences observed between groups in reported fruit and vegetable intake or overall dietary quality at 6 months’ follow-up or at 16–18 months’ follow-up (Table 14).

TABLE 14 Summary of fruit and vegetable intake and dietary quality secondary outcome results from mixed-effect linear regression models
Fruit and vegetable intake and dietary qualityNumber of clustersNumber of participantsBaseline, mean (SD)Follow-up, mean (SD)Mean (SD) change from baseline to Follow-upaSHIFT intervention vs. control
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionAdjusted mean difference (95% CI)bp-value
Fruit (g/day)
 6 months1312147124100.8 (122.2)135.4 (158.1)123.9 (142.3)120.6 (153.6)23.1 (128.1)–14.8 (159.5)–20.6 (–64.5 to 23.3)0.359
 16–18 months121011210292.2 (109.4)127.4 (152.7)89.6 (111.8)112.1 (148.0)–2.7 (105.3)–15.2 (162.8)7.4 (–30.3 to 45.2)0.700
Vegetables (g/day)
 6 months1312147124110.5 (135.3)127.7 (165.8)106.1 (142.1)131.9 (184.6)–4.4 (167.3)4.1 (207.0)27.3 (–24.8 to 79.4)0.305
 16–18 months121011210295.1 (98.1)127.3 (167.8)100.2 (145)90.0 (101.0)5.1 (148.5)–37.2 (157.4)–25.3 (–68.5 to 17.9)0.251
Dietary quality scorec
 6 months131214712411.1 (2.0)11.1 (2.1)11.4 (1.7)11.1 (2.0)0.3 (2.2)–0.01 (2.4)–0.2 (–0.7 to 0.2)0.241
 16–18 months121111210211.1 (1.8)11.0 (2.0)11.3 (1.6)11.3 (1.8)0.1 (2.0)0.3 (2.3)0.07 (–0.4 to 0.5)0.778

Secondary outcomes: descriptive analyses

Further activPAL variables

Across all monitored days and workdays, for the SHIFT group, there were no noticeable differences in time spent sitting in prolonged bouts (> 30 minutes), the number of transitions from sitting to standing and the proportions of time spent sitting, standing and stepping, and the proportion of sitting spent in prolonged bouts, between baseline and 6 months’ follow-up. Similar findings were observed for the control group, except for the time spent sitting in prolonged bouts, which tended to increase at 6 months’ follow-up (Table 15). On non-workdays, the control group exhibited increases in the time spent sitting (and the proportion of sitting) in prolonged bouts at 6 months’ follow-up, relative to baseline. The control group also exhibited an increase in the overall proportion of time spent sitting and a decrease in the proportion of time spent standing on non-workdays at 6 months’ follow-up. For the SHIFT group, no noticeable differences were observed for any variables on non-workdays between baseline and 6 months (see Table 15).

TABLE 15 Further activPAL outcomes measured at baseline and at 6 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, mean (SD)6-month follow-up, mean (SD)Mean (SD) change from baseline to 6-month follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
All daysa
 Valid days (n)119927 (2)6 (3)7 (1)7 (1)1 (3)1 (3)
 Waking wear time (minutes/day)11992995 (66)997 (56)997 (64)987 (67)2 (67)–10 (60)
 Sitting time (minutes/day) in prolonged bouts (i.e. > 30 minutes)11992430 (116)396 (127)456 (115)395 (113)26 (92)–1 (90)
 Number of transitions1199250 (16)53 (18)49 (18)52 (19)–1 (12)–1 (14)
 Per cent of day sitting1199268 (8)67 (8)70 (7)67 (8)2 (5)0 (6)
 Per cent of day standing1199221 (6)21 (5)19 (5)21 (6)–2 (4)0 (5)
 Per cent of day stepping1199212 (3)12 (4)11 (3)12 (4)–1 (2)0 (3)
 Per cent of day sitting in prolonged bouts (i.e. > 30 minutes)1199263 (11)58 (13)65 (12)59 (11)2 (8)1 (9)
Workdaysa
 Valid days (n)114874 (2)4 (2)5 (1)5 (2)1 (2)1 (3)
 Waking wear time (minutes/day)114871033 (75)1037 (96)1032 (126)1017 (86)–1 (133)–20 (94)
 Sitting time (minutes/day) in prolonged bouts (i.e. > 30 minutes)11487481 (128)452 (171)494 (140)433 (139)13 (118)–19 (142)
 Number of transitions1148751 (21)54 (23)49 (21)54 (26)–2 (14)0 (21)
 Per cent of day sitting1148770 (7)69 (9)70 (10)69 (8)0 (9)0 (8)
 Per cent of day standing1148719 (6)19 (7)18 (5)19 (5)–1 (5)0 (7)
 Per cent of day stepping1148712 (4)12 (4)11 (4)12 (4)–1 (3)0 (3)
 Per cent of day sitting in prolonged bouts (i.e. > 30 minutes)1148766 (13)61 (16)66 (15)61 (14)0 (12)0 (13)
Non-workdaysa
 Valid days (n)102802 (1)2 (1)3 (1)3 (1)1 (2)1 (2)
 Waking wear time (minutes/day)10280920 (78)937 (86)917 (107)937 (103)–3 (107)0 (107)
 Sitting time (minutes/day) in prolonged bouts (i.e. > 30 minutes)10280325 (139)329 (137)375 (156)325 (140)50 (137)–4 (124)
 Number of transitions1028048 (21)47 (14)46 (18)47 (15)–2 (16)0 (14)
 Per cent of day sitting1028063 (11)63 (11)66 (12)62 (12)3 (10)–1 (11)
 Per cent of day standing1028025 (8)25 (8)23 (9)26 (9)–2 (7)1 (9)
 Per cent of day stepping1028012 (6)12 (5)10 (4)12 (5)–2 (5)0 (5)
 Per cent of day sitting in prolonged bouts (i.e. > 30 minutes)1028055 (16)54 (13)60 (16)54 (14)5 (15)0 (12)

Across all monitored days, workdays and non-workdays, for both groups, there were no noticeable differences in time spent sitting in prolonged bouts (> 30 minutes), the number of transitions from sitting to standing, the proportions of time spent sitting, standing and stepping, and the proportion of sitting spent in prolonged bouts, between baseline and 16–18 months’ follow-up (Table 16).

TABLE 16 Further activPAL outcomes measured at baseline and at 16–18 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, mean (SD)16- to 18-month follow-up, mean (SD)Mean (SD) change from baseline to 16- to 18-month follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
All daysa
 Valid days (n)90747 (2)6 (2)7 (1)7 (1)0 (2)1 (3)
 Waking wear time (minutes/day)9074993 (67)992 (54)991 (59)978 (65)–2 (62)–14 (78)
 Sitting time (minutes/day) in prolonged bouts (i.e. > 30 minutes)9074434 (124)380 (121)434 (134)383 (114)0 (107)3 (115)
 Number of transitions907449 (18)54 (17)51 (21)53 (19)2 (15)–1 (19)
 Per cent of day sitting907468 (8)66 (8)69 (8)66 (7)1 (6)0 (9)
 Per cent of day standing907420 (6)22 (6)20 (6)21 (5)0 (5)–1 (7)
 Per cent of day stepping907412 (4)13 (4)12 (4)12 (4)0 (2)–1 (3)
 Per cent of day sitting in prolonged bouts (i.e. > 30 minutes)907463 (12)58 (14)63 (14)58 (14)0 (11)0 (12)
Workdaysa
 Valid days (n)89685 (2)4 (2)5 (2)5 (2)0 (2)1 (3)
 Waking wear time (minutes/day)89681031 (78)1028 (84)1026 (141)994 (192)–5 (137)–34 (189)
 Sitting time (minutes/day) in prolonged bouts (i.e. > 30 minutes)8968480 (132)429 (163)478 (161)419 (163)–2 (131)–10 (163)
 Number of transitions896851 (23)55 (22)51 (25)55 (24)0 (20)0 (21)
 Per cent of day sitting896870 (7)68 (10)69 (11)67 (14)–1 (10)–1 (15)
 Per cent of day standing896819 (5)20 (8)18 (6)18 (6)–1 (6)–2 (8)
 Per cent of day stepping896812 (4)12 (4)12 (4)12 (5)0 (4)0 (4)
 Per cent of day sitting in prolonged bouts (i.e. > 30 minutes)896866 (13)60 (17)65 (16)60 (17)–1 (12)0 (15)
Non-workdaysa
 Valid days (n)83692 (1)2 (1)2 (1)3 (2)0 (2)1 (2)
 Waking wear time (minutes/day)8369915 (76)928 (75)886 (163)858 (230)–29 (164)–70 (221)
 Sitting time (minutes/day) in prolonged bouts (i.e. > 30 minutes)8369342 (149)305 (115)344 (174)286 (145)2 (146)–19 (143)
 Number of transitions836945 (21)48 (15)47 (25)46 (20)2 (21)–2 (21)
 Per cent of day sitting836964 (12)61 (10)64 (17)58 (18)0 (15)–3 (19)
 Per cent of day standing836924 (8)26 (8)23 (10)24 (10)–1 (8)–2 (10)
 Per cent of day stepping836912 (6)13 (4)11 (6)12 (6)–1 (6)–1 (5)
 Per cent of day sitting in prolonged bouts (i.e. > 30 minutes)836957 (16)53 (14)57 (17)52 (16)0 (16)–1 (16)

Sleep duration and quality, subjective situational sleepiness and chronotype

Across all monitored days, between baseline and 6 months’ follow-up, both groups exhibited a decrease in their sleep window duration (defined as the time between ‘lights out’ and out of bed time) and a decrease in their overall sleep duration. These changes appeared to be driven by large reductions in sleep window duration and sleep duration on workdays at 6 months’ follow-up. In contrast, on non-workdays, increases in sleep window duration and sleep duration were observed for both groups at 6 months. There were no noticeable changes in sleep efficiency across any types of day between baseline and 6 months’ follow-up for either group (Table 17). There were no changes in ratings of situational sleepiness or chronotype score between baseline and either follow-up period for both groups (Table 18).

TABLE 17 Device-based measures of sleep outcomes from the GENEActiv at baseline and at 6 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, mean (SD)6-month follow-up, mean (SD)Mean (SD) change from baseline to 6-month follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
All days
 Number of valid nights118896 (1)5 (2)5 (1)5 (1)–1 (1)0 (2)
 Sleep windowa duration (minutes)11889425 (54)419 (54)410 (62)405 (65)–15 (70)–14 (58)
 Sleep duration (minutes)11889370 (54)368 (55)355 (57)357 (59)–15 (57)–11 (51)
 Sleep efficiencyb (%)1188987 (7)88 (6)87 (6)89 (6)0 (4)1 (5)
Workdays
 Number of valid nights100673 (1)3 (1)3 (1)3 (1)0 (1)0 (2)
 Sleep windowa duration (minutes)10067420 (61)402 (67)363 (74)369 (79)–57 (80)–33 (70)
 Sleep duration (minutes)10067366 (56)354 (65)317 (68)329 (72)–49 (69)–25 (64)
 Sleep efficiencyb (%)1006787 (8)88 (7)88 (7)89 (6)1 (6)1 (5)
Non-workdays
 Number of valid nights96602 (1)2 (1)2 (1)2 (1)0 (1)0 (1)
 Sleep windowa duration (minutes)9660422 (79)429 (78)482 (92)462 (103)60 (107)33 (123)
 Sleep duration (minutes)9660367 (74)377 (78)416 (78)406 (95)49 (90)29 (111)
 Sleep efficiencyb (%)966087 (7)88 (7)87 (7)88 (8)0 (6)0 (5)
TABLE 18 Situational sleepiness and chronotype score measured at baseline and at 6 months and 16–18 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, median (IQR)Follow-up, median (IQR)Median (IQR) change from baseline to follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
Karolinska Sleepiness Scale ratinga
 6 months1441133 (2–5)3 (2–5)3 (2–5)3 (2–5)0 (–1 to 1)0 (–1 to 1)
 16–18 months99903 (2–5)3 (2–5)3 (3–6)3 (2–5)0 (–1 to 1)0 (0–2)
MEQ scoreb
 6 months14411319 (15–21)17 (14–20)18 (16–21)17 (14–20)0 (–1 to 1)0 (–1 to 1)
 16–18 months999018 (15–21)16 (13–20)19 (16–21)17 (14–20)0 (–1 to 2)0 (–1 to 1)

Blood pressure and psychophysiological reactivity

Small reductions in resting systolic and diastolic blood pressure were observed for both groups between the baseline and 6-month follow-up measures, but no noticeable changes were observed in resting heart rate for either group (Table 19). Mean blood pressure and heart rate measures increased during the mirror tracing task; however, the differences between resting values and values recorded during the task tended to be smaller for both groups during the 6-month follow-up measures (see Table 19). There were no differences in perceived stress ratings during this task between baseline and follow-up for either group. The control group tended to have fewer errors while undertaking this task at 6-months follow-up, whereas no evidence of a change in performance was observed for the SHIFT group (see Table 19).

TABLE 19 Blood pressure measured at rest and during the mirror tracing task, along with further outcomes from the mirror tracing task at baseline and at 6 months’ follow-up (changes calculated from baseline are also presented)
VariableNumber of participantsBaseline, median (IQR)6-month follow-up, median (IQR)Median (IQR) change from baseline to 6-month follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
Resting blood pressure and heart ratea
 Systolic blood pressure (mmHg)145104130 (120–139)130 (122–138)127 (118–135)127 (118–136)–2 (–9 to 4)–3 (–10 to 5)
 Diastolic blood pressure (mmHg)14510482 (76–88)82 (78–88)80 (74–86)80 (75–87)–2 (–6 to 4)–1 (–6 to 4)
 Heart rate (b.p.m.)14310467 (60–74)68 (60–74)66 (60–73)66 (58–72)0 (–5 to 5)–1 (–6 to 3)
Blood pressure and heart rate during the mirror tracing taskb
 Systolic blood pressure (mmHg)138100146 (134–159)145 (137–158)142 (132–156)143 (131–153)–3 (–12 to 5)–4 (–10 to 4)
 Diastolic blood pressure (mmHg)13810091 (85–98)92 (85–103)89 (81–95)89 (84–96)–2 (–9 to 3)–3 (–9 to 1)
 Heart rate (b.p.m.)13610074 (67–80)72 (66–82)72 (66–78)72 (65–78)–1 (–7 to 4)–2 (–7 to 3)
Psychophysiological reactivityc
 ΔSystolic blood pressure (mmHg)13810017 (10–22)16 (9–26)16 (9–24)15 (8–22)–1 (–8 to 8)–3 (–9 to 6)
 ΔDiastolic B blood pressure (mmHg)13810010 (6–14)10 (7–14)8 (4–12)8 (4–14)–2 (–6 to 4)–1 (–6 to 3)
 ΔHeart rate (b.p.m.)1361007 (2–10)6 (3–10)5 (2–8)6 (4–10)–1 (–6 to 2)0 (–4 to 5)
Number of errors and feelings of stress
 Number of errors13210028 (12–48)32 (17–54)23 (8–52)34 (14–56)–5 (–15 to 11)–1 (–17 to 11)
 Perceived stressd1361003 (2–4)3 (2–4)2 (1–3)3 (2–4)0 (–1 to 0)0 (–1 to 0)

Cognitive function

There were no noticeable differences in reaction times, measured using the Stroop test, between baseline and 6 months’ follow-up for both groups. No noticeable differences were observed between groups at baseline and 6 months (Table 20).

TABLE 20 Reaction time from the Stroop test measured at baseline and at 6 months’ follow-up, along with changes calculated from baseline
Reaction time (ms)Number of participantsBaseline, median (IQR)6-month follow-up, median (IQR)Median (IQR) change from baseline to 6-month follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
Congruent conditiona11168988 (880 to 1112)998 (888 to 1110)959 (895 to 1058)976 (878 to 1058)–17 (–104 to 68)4 (–102 to 59)
Incongruent conditionb111681121 (992 to 1325)1125 (994 to 1420)1078 (977 to 1247)1095 (968 to 1268)–41 (–145 to 36)–44 (–135 to 43)

Functional fitness

No noticeable changes in grip strength were observed between baseline and 6 months’ follow-up in the control group, whereas modest improvements in grip strength for both hands were observed following completion of the intervention in the SHIFT group (Table 21).

TABLE 21 Grip strength measured at baseline and at 6 months’ follow-up, along with changes calculated from baseline
Grip strengthNumber of participantsBaseline, mean (SD)6-month follow-up, mean (SD)Mean (SD) change from baseline to 6-month follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
Right hand (kg)14410452.0 (9.6)51.9 (8.5)52.2 (10.2)52.7 (8.9)0.2 (6.9)0.8 (6.2)
Left hand (kg)14410450.0 (9.2)49.1 (7.5)50.0 (9.8)50.6 (8.0)0.02 (6.6)1.5 (5.1)
Average (kg)14310451.0 (9.0)50.5 (7.6)51.0 (9.5)51.6 (7.9)0.09 (5.7)1.1 (4.9)

Mental well-being

There were no noticeable differences in self-reported scores for symptoms of anxiety, depression or social isolation between baseline and 6 months’ follow-up for both groups, and similar findings were also observed for symptoms of anxiety and depression at 16–18 months’ follow-up. There was a tendency in both groups for perceived social isolation scores to increase marginally at 16–18 months’ follow-up (Table 22). No noticeable differences were observed between groups at any assessment point.

TABLE 22 Anxiety, depression and social isolation scores measured at baseline and at 6 months and 16–18 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, median (IQR)Follow-up, median (IQR)Median (IQR) change from baseline to follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
HADS anxietya
 6 months1451135 (3–7)4 (2–7)4 (2–6)4 (2–7)–1 (–3 to 1)0 (–2 to 1)
 16–18 months100885 (3–7)4 (2–7)4 (2–7)4 (2–7)–1 (–2 to 1)0 (–1 to 1)
HADS depressiona
 6 months1451133 (2–7)3 (1–5)3 (1–6)3 (1–5)–1 (–2 to 1)0 (–1 to 1)
 16–18 months100883 (2–6)3 (1–4)3 (1–6)3 (1–5)0 (–2 to 1)0 (–1 to 1)
Social isolationb
 6 months14511344 (39–51)41 (34–49)44 (34–49)43 (34–50)0 (–5 to 2)0 (0 to 5)
 16–18 months1018844 (39–51)41 (34–49)47 (39–52)44 (34–51)0 (–2 to 4)0 (0 to 5)

Musculoskeletal symptoms

Table 23 provides a summary of the prevalence of musculoskeletal discomfort reported in the past month for each body site, along with discomfort scores by body region, reported over the three time points. There was a tendency for the prevalence of musculoskeletal discomfort across the majority of body sites to decrease at the two follow-up assessments in both groups, with similar changes in prevalence occurring between groups. Similarly, there were no noticeable differences in discomfort scores (i.e. upper extremity, lower extremity and overall) between baseline and 6 months’ follow-up, and between baseline and 16–18 months’ follow-up, for both groups. No noticeable differences in discomfort scores were observed between groups at any assessment point.

TABLE 23 The prevalence of musculoskeletal discomfort reported in the past month for each body site, along with pain scores by body region, at baseline and at 6 months and 16–18 months’ follow-up (changes calculated from baseline are also presented)
Prevalence of musculoskeletal discomfort in the past month per body areaaNumber of participantsBaseline, proportion (%)Follow-up, proportion (%)Change in proportion (%)
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
Neck
 6 months14511239343634–30
 16–18 months1019142313837–47
Shoulder
 6 months145112404441431–1
 16–18 months101914442494351
Upper back
 6 months14511221271720–4–7
 16–18 months10191222925263–2
Elbow
 6 months14511221191924–25
 16–18 months101912315291862
Wrist/hand
 6 months145112263329313–2
 16–18 months10191303438338–1
Lower back
 6 months14511257565049–7–7
 16–18 months1019159575347–6–10
Hip/thigh
 6 months14511226241413–12–11
 16–18 months1019124252222–2–3
Knee
 6 months14511245444140–3–4
 16–18 months1019147484242–5–7
Ankle/feet
 6 months14511228272121–8–5
 16–18 months1019132262929–32
Discomfort scoresMedian (IQR)Median (IQR)Median (IQR) change from baseline to follow-up
Upper extremity discomfortb
 6 months1451120.5 (0.0–1.5)1.0 (0.0–2.0)0.5 (0.0–1.8)0.8 (0.0–2.0)0.0 (–0.5 to 0.5)0.0 (–0.5 to 0.5)
 16–18 months101910.5 (0.0–1.5)0.8 (0.0–1.9)1.0 (0.0–2.5)0.8 (0.0–2.0)0.0 (–0.3 to 1.0)0.0 (–0.5 to 0.6)
Lower extremity discomfortc
 6 months1451120.7 (0.0–2.0)0.3 (0.0–1.7)0.3 (0.0–1.7)0.3 (0.0–1.7)0.0 (–1.0 to 0.3)0.0 (–0.3 to 0.3)
 16–18 months101911.0 (0.0–2.0)0.7 (0.0–2.0)0.3 (0.0–1.7)0.3 (0.0–2.0)0.0 (–0.7 to 0.3)0.0 (–0.3 to 0.7)
Overall discomfortd
 6 months1451121.0 (0.3–1.8)1.0 (0.3–1.9)0.9 (0.2–1.8)0.9 (0.3–1.7)0.0 (–0.7 to 0.4)0.0 (–0.6 to 0.3)
 16–18 months101911.1 (0.4–1.7)1.0 (0.4–1.9)1.3 (0.3–2.2)1.0 (0.2–2.1)0.0 (–0.3 to 0.8)0.0 (–0.4 to 0.6)

Work-related psychosocial variables

Table 24 provides a descriptive summary of a range of work-related psychosocial variables assessed across the three time points. There were no noticeable differences in any of the outcome measures (i.e. work engagement, occupational fatigue, perceived job satisfaction and performance, sickness absence, presenteeism, perceived work ability and perceived job demands) between baseline and 6 months’ follow-up, and between baseline and 16–18 months’ follow-up, for both groups. No noticeable differences in any measure were observed between groups at any assessment point.

TABLE 24 Work-related psychosocial variables measured at baseline and at 6 months and 16–18 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, median (IQR)Follow-up, median (IQR)Median (IQR) change from baseline to follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
Utrecht Work Engagement Scalea
Vigour
 6 months1441134.0 (3.3–5.0)4.0 (3.0–4.7)4.0 (3.0–5.0)4.0 (2.7–5.0)0.0 (–0.7 to 0.3)0.0 (–0.7 to 0.3)
 16–18 months100894.0 (3.3–5.0)3.7 (3.0–4.7)4.3 (3.3–4.7)3.7 (2.3–4.7)0.0 (–0.7 to 0.7)–0.3 (–0.7 to 0.0)
Dedication
 6 months1441134.3 (3.3–5.3)4.0 (3.0–5.0)4.3 (3.3–5.0)4.3 (3.0–5.0)0.0 (–0.7 to 0.3)0.0 (–0.3 to 0.7)
 16–18 months100893.7 (4.7–6.0)4.0 (3.0–5.0)4.3 (3.6–5.0)3.7 (2.7–5.0)–0.2 (–0.7 to 0.3)0.0 (–0.7 to 0.3)
Absorption
 6 months1441134.0 (3.0–5.0)3.7 (2.7–4.7)3.7 (2.7–4.7)4.0 (2.7–4.7)0.0 (–0.7 to 0.3)0.0 (–0.7 to 0.7)
 16–18 months100893.3 (3.7–5.0)3.7 (2.3–4.7)4.0 (3.3–5.0)3.7 (2.3–4.7)0.0 (–1.0 to 0.7)0.0 (–0.7 to 0.3)
Overall summary score
 6 months1441134.3 (3.2–5.0)3.9 (3.0–4.9)4.1 (3.0–4.8)3.9 (2.8–4.8)–0.1 (–0.7 to 0.3)0.0 (–0.4 to 0.4)
 16–18 months100893.7 (4.4–5.2)3.8 (2.9–4.9)4.2 (3.4–4.8)3.7 (2.7–4.6)–0.1 (–0.7 to 0.6)–0.1 (–0.7 to 0.3)
OFER scaleb
Chronic fatigue
 6 months14411333.3 (16.7–60.8)33.3 (16.7–53.3)36.7 (16.7–56.7)36.7 (16.7–56.7)0.0 (–6.7 to 10.8)0.0 (–10.0 to 13.3)
 16–18 months1009031.7 (16.7–53.3)31.7 (16.7–53.3)36.7 (20.0–57.5)33.3 (20.0–53.3)3.3 (–3.3 to 13.3)1.7 (–13.3 to 16.7)
Acute fatigue
 6 months14411346.7 (32.5–60.0)50.0 (30.0–63.3)43.3 (26.7–63.3)46.7 (30.0–66.7)0.0 (–10.8 to 10.0)0.0 (–13.3 to 6.7)
 16–18 months1009050.0 (33.3–60.8)48.3 (26.7–63.3)50.0 (30.0–63.3)50.0 (30.8–66.7)–3.3 (–14.2 to 13.3)3.3 (–6.7 to 13.3)
Intershift recovery
 6 months14411355.0 (40.0–80.0)60.0 (43.3–76.7)60.0 (43.3–76.7)56.7 (43.3–76.7)0.0 (–13.3 to 10.0)0.0 (–10.0 to 6.7)
 16–18 months1009053.3 (42.5–80.0)60.0 (43.3–80.0)56.7 (40.0–77.5)53.3 (40.8–80.0)0.0 (–10.0 to 10.0)0.0 (–10.0 to 12.5)
Job satisfaction ratingc
 6 months1441135.0 (4.0–6.0)5.0 (4.0–6.0)5.0 (4.0–6.0)5.0 (4.0–6.0)0.0 (–1.0 to 0.0)0.0 (–1.0 to 0.0)
 16–18 months100906.0 (4.0–6.0)5.0 (4.0–6.0)5.0 (4.0–6.0)5.0 (4.0–6.0)0.0 (–1.0 to 0.0)0.0 (–1.0 to 1.0)
Job performance ratingc
 6 months1441136.0 (5.0–7.0)6.0 (6.0–7.0)6.0 (6.0–7.0)6.0 (6.0–7.0)0.0 (0.0–0.0)0.0 (0.0–0.0)
 16–18 months100906.0 (5.0–6.3)6.0 (6.0–7.0)6.0 (5.0–7.0)6.0 (6.0–7.0)0.0 (–1.0 to 1.0)0.0 (0.0–0.0)
Sickness absence (days)d
 6 months1421130.0 (0.0–2.0)0.0 (0.0–1.0)0.0 (0.0–3.0)0.0 (0.0–0.0)0.0 (0.0–0.0)0.0 (0.0–0.0)
 16–18 months100900.0 (0.0–2.0)0.0 (0.0–0.0)0.0 (0.0–0.0)0.0 (0.0–0.0)0.0 (–1.3 to 0.0)0.0 (0.0–0.0)
Presenteeism (days)d
 6 months1411132.0 (0.0–5.0)2.0 (0.0–5.0)1.0 (0.0–5.0)1.0 (0.0–5.0)0.0 (–2.0 to 1.0)0.0 (–1.3 to 3.0)
 16–18 months98892.0 (0.0–5.0)2.0 (0.0–5.0)0.0 (0.0–2.0)0.0 (0.0–5.0)0.0 (–4.0 to 0.0)0.0 (–2.0 to 2.0)
Work ability ratinge
 6 months1441139.0 (8.0–10.0)8.5 (8.0–10.0)8.0 (7.0–9.0)9.0 (8.0–9.0)0.0 (–1.0 to 1.0)0.0 (–1.0 to 1.0)
 16–18 months96879.0 (8.0–9.0)9.0 (8.0–10.0)8.0 (8.0–9.0)9.0 (8.0–10.0)0.0 (–1.0 to 0.0)0.0 (–1.0 to 1.0)
Work demands (Health and Safety Executive Management Standards Indicator Tool)f
Demand summary score
 6 months1441132.1 (1.8–2.5)2.1 (1.6–2.9)2.1 (1.8–2.6)2.1 (1.6–2.6)0.1 (–0.3 to 0.4)0.0 (–0.4 to 0.3)
 16–18 months100902.1 (1.8–2.7)2.2 (1.6–2.9)2.2 (1.6–2.8)2.3 (1.6–2.8)0.1 (–0.4 to 0.5)0.0 (–0.5 to 0.4)
Control summary score
 6 months1441133.3 (2.7–3.8)3.3 (2.8–3.8)3.3 (2.7–3.8)3.2 (2.8–3.8)0.0 (–0.3 to 0.5)0.0 (–0.5 to 0.3)
 16–18 months100903.2 (2.6–3.8)3.2 (2.8–3.8)3.3 (2.7–3.9)3.2 (2.8–4.0)0.0 (–0.5 to 0.7)0.0 (–0.3 to 0.5)
Support summary score
 6 months1441133.3 (2.8–3.8)3.3 (2.7–3.9)3.2 (2.6–3.8)3.2 (2.7–3.9)–0.1 (–0.4 to 0.3)–0.1 (–0.4 to 0.4)
 16–18 months100903.4 (2.9–4.0)3.3 (2.7–4.0)3.2 (2.8–3.9)3.3 (2.8–3.9)0.0 (–0.4 to 0.3)0.1 (–0.3 to 0.4)

Driving-related safety behaviour

There were no noticeable differences in self-reported driving-related safety behaviour between baseline and 6 months’ follow-up, and between baseline and 16–18 months’ follow-up, for both groups (Table 25). No noticeable differences were observed between groups at any assessment point.

TABLE 25 Markers of driving-related safety behaviour measured at baseline and at 6 months and 16–18 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, median (IQR)Follow-up, median (IQR)Median (IQR) change from baseline to follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
Occasionally jump to get out of lorry quickly
 6 months1441132 (1–3)2 (1–3)2 (1–3)2 (1–2)0 (–1 to 0)0 (–1 to 0)
 16–18 months100892 (1–3)2 (1–3)1 (1–3)1 (1–2)0 (–1 to 0)0 (–1 to 0)
Compliance with posted speed limits
 6 months1441134 (4–5)4 (4–5)4 (3–5)4 (4–5)0 (–1 to 0)0 (0–0)
 16–18 months100894 (4–5)4 (4–5)4 (4–5)5 (4–5)0 (0–1)0 (0–1)
Occasionally drive without getting enough sleep
 6 months1441133 (2–4)3 (2–4)3 (2–4)3 (2–4)0 (0–0)0 (0–1)
 16–18 months100893 (2–4)3 (2–4)3 (2–4)3 (2–4)0 (–1 to 0)0 (0–1)
Always use logbook legally
 6 months1441135 (4–5)5 (4–5)5 (4–5)5 (4–5)0 (0–0)0 (0–0)
 16–18 months100895 (4–5)5 (4–5)5 (4–5)5 (4–5)0 (0–0)0 (0–0)
Skip the daily vehicle inspection when tired or rushed
 6 months1441131 (1–2)1 (1–2)1 (1–2)1 (1–2)0 (0–0)0 (0–0)
 16–18 months100891 (1–2)1 (1–2)1 (1–1)1 (1–1)0 (0–0)0 (0–0)
Sometimes get in a difficult situation without having a way out
 6 months1441132 (1–3)2 (1–3)2 (1–3)2 (1–2)0 (–1 to 0)0 (0–0)
 16–18 months100892 (1–3)2 (1–3)2 (1–3)1 (1–2)0 (–1 to 1)0 (–1 to 0)

Health-related quality of life

There were no noticeable differences in perceived markers of HRQoL between baseline and 6 months’ follow-up, and between baseline and 16–18 months’ follow-up, for both groups (Table 26). No noticeable differences were observed between groups at any assessment point.

TABLE 26 Markers of HRQoL assessed via the EQ-5D-5L at baseline and at 6 months and 16–18 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, median (IQR)Follow-up, median (IQR)Median (IQR) change from baseline to follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
Mobility
 6 months1441131 (1–1)1 (1–1)1 (1–1)1 (1–1)0 (0–0)0 (0–0)
 16–18 months100901 (1–1)1 (1–1)1 (1–1)1 (1–1)0 (0–0)0 (0–0)
Self-care
 6 months1441131 (1–1)1 (1–1)1 (1–1)1 (1–1)0 (0–0)0 (0–0)
 16–18 months100901 (1–1)1 (1–1)1 (1–1)1 (1–1)0 (0–0)0 (0–0)
Usual activities
 6 months1441131 (1–1)1 (1–1)1 (1–1)1 (1–1)0 (0–0)0 (0–0)
 16–18 months100901 (1–1)1 (1–1)1 (1–1)1 (1–1)0 (0–0)0 (0–0)
Pain/discomfort
 6 months1441132 (1–2)2 (1–2)2 (1–2)2 (1–2)0 (–1–0)0 (0–0)
 16–18 months100902 (1–2)2 (1–2)2 (1–2)2 (1–3)0 (0–1)0 (0–1)
Anxiety/depression
 6 months1441131 (1–2)1 (1–1)1 (1–1)1 (1–1)0 (0–0)0 (0–0)
 16–18 months100901 (1–2)1 (1–1)1 (1–2)1 (1–2)0 (0–0)0 (0–0)
Overall health today
 6 months14411380 (70–90)80 (75–90)80 (74–90)80 (75–90)0 (–5 to 5)0 (–9 to 9)
 16–18 months1009080 (70–89)82 (75–90)80 (70–85)85 (71–90)0 (–5 to 10)0 (–5 to 8)

Lifestyle health-related behaviours and risk measures

There were no noticeable differences in reported alcohol intake between baseline and 6 months’ follow-up, and between baseline and the final follow-up, for both groups (Table 27). No noticeable differences were observed between groups at any assessment point.

TABLE 27 Alcohol Use Disorders Identification Test scores, QRISK3 scores and smoking prevalence at baseline and at 6 months and 16–18 months’ follow-up, along with changes calculated from baseline
VariableNumber of participantsBaseline, median (IQR)Follow-up, median (IQR)Median (IQR) change from baseline to follow-up
ControlSHIFT interventionControlSHIFT interventionControlSHIFT interventionControlSHIFT intervention
AUDIT scorea
 6 months1441134 (2–5)4 (3–6)3 (2–5)4 (2–5)0 (0–0)0 (0–0)
 16–18 months101913 (2–5)4 (3–6)3 (2–5)4 (2–6)0 (–5 to 10)0 (–5 to 8)
QRISK3 scoreb
 6 months1441115.6 (2.4–9.6)5.3 (2.5–9.7)5.3 (2.3–10.6)5.7 (2.2–9.3)0.2 (–0.6 to1.2)0.0 (–0.9 to 0.7)
Proportion (%)Proportion (%)Change in proportion (%)
Smoking prevalencec
 6 months145113191420121–2
 16–18 months10191211520140–1

There were no differences in QRISK3 scores between baseline and 6 months’ follow-up for both groups (see Table 27). Likewise, there were no noticeable differences in QRISK3 scores between the control group and the SHIFT group at any assessment point. When examining the proportion of participants with an estimated CVD risk of ≥ 10% over the next 10 years, 23.6% of control participants fell into this category at baseline, with this proportion increasing to 26.4% at 6 months. In contrast, 24.3% of participants in the SHIFT group exhibited a ≥ 10% risk of CVD over the next 10 years at baseline, but this fell slightly to 23.4% at 6 months.

Table 27 also provides a summary of the smoking prevalence reported by participants at each time point. There was a tendency for a higher smoking prevalence to be seen in the control group, than in the SHIFT group, across all assessment points. Between baseline and 6 months, two participants in the control group and one participant in the SHIFT group reported changing from a past smoker to a current smoker (i.e. re-starting smoking), and four participants in the SHIFT group reported stopping smoking. No control participants reported stopping smoking between baseline and 6 months. The average number of cigarettes smoked per day by current smokers in the SHIFT group (baseline, n = 16; 6 months, n = 13) was 14 (SD 5) cigarettes per day at both baseline and 6 months’ follow-up. The average number of cigarettes smoked per day by current smokers in the control group (baseline, n = 27; 6 months, n = 29) was 14 (SD 6) cigarettes per day at baseline and 13 (SD 7) cigarettes per day at 6 months.

Between baseline and 16–18 months’ follow-up, one participant in the SHIFT group reported re-starting smoking at and three participants (control group, n = 1; SHIFT group, n = 3) reported stopping smoking. The average number of cigarettes smoked per day by current smokers in the SHIFT group (baseline, n = 14; 16–18 months, n = 13) was 15 (SD 5) cigarettes per day at both baseline and 16–18 months. The average number of cigarettes smoked per day by current smokers in the control group (baseline, n = 21; 16–18 months, n = 20) was 14 (SD 6) cigarettes per day at both baseline and 16–18 months.

COVID-19: impact of a temporary change in driving hour regulations on SHIFT participants

Participants

Of the 220 participants who were still enrolled in the study in May 2020, 91 (41.4%; control group, n = 48; SHIFT group, n = 43; 99% male) participants completed an additional online questionnaire that captured data on the effect of the pandemic on their working hours, mental well-being and health-related behaviours. The questionnaire was completed during the UK’s first national lockdown. At the time of completing the questionnaire, 20 (22%) participants [control group, n = 15 (31%); SHIFT group, n = 5 (12%)] were on furlough, and 44 (48%) participants [control group, n = 32 (67%); SHIFT group, n = 12 (28%)] reported being on furlough at some point during the pandemic.

There were no statistically significant differences in questionnaire responses between intervention or control participants, or between participants who were/had been furloughed and participants not furloughed. As a result, the responses received for the COVID-19 questionnaire are presented for the group as a whole. The only measure where a difference was reported was ‘sleep duration in the past 14 days’. Participants who had been or who were still on furlough reported a longer sleep duration [median 7.0 (IQR 5.5–8.5) hours/night] than participants who were not furloughed [median 6.5 (IQR 5.5–7.5) hours/night].

Baseline characteristics and measures of the 91 participants completing the COVID-19 questionnaire did not differ significantly from the remainder of the participants within the SHIFT study, and this suggests that the subsample of 91 participants are largely representative of the wider sample. Specifically, there were no differences at baseline between participants completing the COVID-19 questionnaire and the wider sample in terms of age, duration working as a HGV driver, duration working for DHL Supply Chain, hours worked per week, BMI, per cent body fat, waist circumference, self-reported symptoms of anxiety and depression, musculoskeletal complaints, physical activity levels, and sleep duration and efficiency.

Working hours and activity levels before and during the pandemic

Participants reported no changes to their working, driving, in-cab waiting or rest hours during the pandemic. Similarly, participants reported no changes in the time spent sitting, standing and walking/moving around on a workday during the pandemic (Table 28).

TABLE 28 Working-related variables and activity-related behaviours reported within the online questionnaire in May to June 2020
VariableNumberaBefore COVID-19, median (IQR)During COVID-19, median (IQR)Difference (p-value)b
Working hours (hours/week)4648.0 (44.0–50.0)47.5 (43.0–51.0)0.46
Driving hours (hours/day)467.0 (6.0–7.8)7.0 (6.0–8.0)0.75
In-cab waiting hours (hours/shift)461.5 (1.0–2.0)1.5 (1.0–2.9)0.15
Rest hours between shifts (hours)4612.0 (11.0–14.0)12.0 (11.0–14.0)0.70
Sitting time (hours/day)867.0 (6.0–8.6)7.0 (5.0–9.0)0.81
Standing time (hours/day)861.0 (1.0–2.0)1.0 (1.0–2.0)0.78
Walking/moving time (hours/day)863.0 (2.0–4.0)3.0 (2.0–4.0)0.56

Anxiety, depression and fatigue before and during the pandemic

In comparison with baseline, there was a tendency for participants who completed the additional COVID-19 questionnaire to report lower levels of symptoms of anxiety during the pandemic (Table 29). There were no differences observed in symptoms of depression, levels of acute and chronic fatigue or intershift recovery during the pandemic, compared with baseline, for this subsample (see Table 29).

TABLE 29 Anxiety, depression and fatigue scores reported within the online questionnaire in May to June 2020 (pre-COVID data were derived from the baseline measurements collected from this subsample)
VariableNumberaBefore COVID-19, median (IQR)bDuring COVID-19, median (IQR)Difference (p-value)c
HADS anxietyd903.0 (1.0–5.0)3.0 (1.0–6.0)0.01
HADS depressiond904.0 (3.0–7.0)1.0 (0.3–5.0)0.27
Chronic fatiguee6926.7 (16.7–43.3)30.0 (8.3–51.7)0.98
Acute fatiguee6946.7 (30.0–63.3)46.7 (21.7–63.3)0.77
Intershift recoverye6963.3 (46.7–83.3)56.7 (45.0–83.3)0.12

The impact of exposure to green space on anxiety, depression and fatigue before and during the pandemic

Within the online questionnaire, 72% (n = 65) of participants reported that they regularly spent time in nature (e.g. spending time in their garden/allotment, in parks and woodland, at the coast and in open green spaces) prior to the onset of the pandemic. Data collected at baseline revealed that participants who reported spending time in nature also reported significantly lower amounts of chronic fatigue associated with their work than participants who reported that they did not spend time in nature (n = 25) [median chronic fatigue score: 23.3 (IQR 10.0–40.0) vs. 43.3 (IQR 26.7–66.7); p = 0.008]. There were no other differences between groups in terms of other markers of fatigue and symptoms of anxiety and depression at baseline.

During the pandemic, 78% (n = 70) of participants reported spending time in nature. Examining data from participants working at the time of completing the online questionnaire revealed that participants who reported spending time in nature (n = 51) also reported significantly lower amounts of chronic and acute fatigue associated with their work than participants who reported that they did not spend time in nature (n = 17) [median chronic fatigue score: 20.0 (IQR 3.3–41.7) vs. 51.7 (IQR 35.8–65.0), p = 0.002; median acute fatigue score: 40.0 (IQR 16.7–56.7) vs. 55.0 (IQR 47.5–79.2), p = 0.009]. The differences between groups for intershift recovery were marginal, but in favour of the group spending time in nature [median intershift recovery score: 63.3 (IQR 50.0–83.3) vs. 50.0 (IQR 36.7–66.7); p = 0.06]. There were no differences between groups in symptoms of anxiety and depression reported during the pandemic.

The impact of the pandemic on drivers’ lifestyle health-related behaviours

Twenty-three (25%) participants reported engaging in a new form of physical activity since the COVID-19 outbreak. New activities reported by participants included cycling (n = 10), walking (n = 5), gardening (n = 3), running (n = 2), weights at home (n = 2), boxing (punchbag training) (n = 1), exercises at home (n = 1), home workouts with a personal trainer (n = 1) and DIY (‘do it yourself’) (n = 1) (note that some participants reported more than one new activity). Seven of 47 (15%) participants who had not been furloughed reported engaging in a new activity, compared 16 of 44 (36%) participants who had been furloughed during the pandemic.

Twenty per cent of participants reported that their consumption of snacks (e.g. cakes, biscuits, crisps, chocolate and sweets) had decreased during the pandemic, whereas 19% reported an increase. Twenty-three per cent of participants reported that their consumption of fresh fruit and vegetables had increased during the pandemic, whereas 7% reported a decrease. Thirty-four per cent of participants reported not being able to access healthy food while at work during the pandemic, whereas 45% reported accessing healthy food, all stating that they brought their own from home.

Five per cent of participants reported a change to their smoking status during the pandemic. One participant reported starting smoking, two participants reported smoking less and two participants reported stopping smoking. Five per cent of participants reported a decrease in their alcohol intake during the pandemic, whereas 26% reported an increase.

Twenty-seven per cent of participants reported that their sleep duration had increased during the pandemic, whereas 13% reported a decrease. Of the participants reporting an increase in sleep duration, 23 of 25 participants had been furloughed. Participants currently furloughed at the time of completing the questionnaire (n = 20) reported a median sleep duration over the past 14 days of 8 (IQR 6–10) hours per day. Participants currently working (n = 70) reported a median sleep duration over the past 14 days of 7 (IQR 6–8) hours per day.

The impact of involvement in the SHIFT study on health behaviours during the pandemic, and lifestyle changes experienced

Participants were asked within the online questionnaire whether or not they felt that participating in the SHIFT study had given them the right knowledge to maintain a healthy lifestyle during the COVID-19 restrictions. A total of 63% of both intervention and control participants answered ‘yes’ to this question. Overall, 63% of both intervention and control participants answered ‘yes’. A range of qualitative quotes were provided by respondents on how the study had helped them maintain a healthy lifestyle during the pandemic. The responses received were similar between intervention and control participants, and largely centred around an increased understanding of the importance of activity and a better diet. The quotes are shown in Appendix 2, Box 1.

When asked within the questionnaire whether or not they had experienced any changes in lifestyle and/or work that had either a positive or negative impact on health, 40 (44%) participants answered ‘yes’. Of them, 20 (22%) participants reported that these changes had a positive impact and 20 (22%) reported that these changes had a negative impact. A range of qualitative quotes were provided from respondents regarding changes in lifestyle experienced (see Appendix 2, Box 2). Participants reporting positive changes tended to refer to having time off work as a result of being furloughed and, therefore, having more time to be physically active. Participants reporting negative changes tended to refer to a lack of access to facilities (e.g. gyms, swimming pools) to enable them to be active, increased snacking behaviours due to being at home and reductions in the overall quality of their diets due to limited food choices.

Adverse events

No serious adverse events were reported during the trial.

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Attribution. Stacy A Clemes; Veronica Varela-Mato; Danielle H Bodicoat; Cassandra L Brookes; Yu-Ling Chen; Edward Cox et al. (2022). A multicomponent structured health behaviour intervention to improve physical activity in long-distance HGV drivers: the SHIFT cluster RCT. National Institute for Health and Care Research. Copyright © 2022 Clemes et al. This work was produced by Clemes et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This is an Open Access publication distributed under the terms of the Creative Commons Attribution CC BY 4.0 licence, which permits unrestricted use, distribution, reproduction and adaption in any medium and for any purpose provided that it is properly attributed. See: https://creativecommons.org/licenses/by/4.0/. For attribution the title, original author(s), the publication source – NIHR Journals Library, and the DOI of the publication must be cited. Licensed under CC BY 4.0. NCBI Bookshelf NBK587144. CC BY 4.0. Original source ↗. Text reproduced from the Bookshelf XML without changing wording; figures, images and supplements are not reproduced.

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