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Issue Addressed: There is increasing interest in the potential association between sedentary behaviour and poor health. This study examined office-based employees' perceptions of the health risks associated with prolonged sitting at work, and strategies to interrupt and reduce occupational sitting time.Methods: Four focus groups were conducted with a convenience sample of Australian government personnel (20 women and two men). Open-ended questions concerning health risks and sitting reduction strategies were posed by lead researchers and focus group participants invited to express opinions, viewpoints and experiences. Audio recordings and summary notes of focus group discussions were reviewed by researchers to identify key response themes.Results: Employees associated prolonged occupational sitting with poor health, primarily in terms of musculoskeletal issues, fatigue and de-motivation.This risk was seen as independent of physical activity. Workplace interventions tailored to occupational roles were viewed as important and considered to be the joint responsibility of individuals and organisations. Strategies included workload planning (interspersing sedentary and non-sedentary tasks), environmental change (e.g. stairwell access, printers away from desks), work tasks on the move (e.g. walking meetings) and purposive physical activity (e.g. periodic breaks, exercise/walking groups).The perception that these strategies would compromise productivity was identified as the primary barrier to implementation; team leaders were subsequently considered vital in enabling integration and acceptance of strategies into everyday workplace practices.Conclusions: Prolonged occupational sitting was perceived as detrimental to health. Suggested strategies targeted individuals, workplaces, organisations and environments. [ABSTRACT FROM AUTHOR]

OBJECTIVE: This study assessed the use of standing 'hot' desks in an open plan office and their impact on sedentary work time. METHOD: Australian employees (n=11; 46.9 [9.8] years; BMI 25.9 [3.5kg/m(2)]) wore an armband accelerometer for two consecutive working weeks (November-December 2010). In the second week, employees were encouraged to use a pod of four standing 'hot' desks to stand and work as often as possible. Desk use was recorded using time logs. The percentages of daily work time spent in sedentary (<1.6 METs), light (1.6-3.0 METs) and moderate+ (>3 METs) intensity categories were calculated for each week, relative to the total daily time at work. Paired sample t tests were used to compare weekly differences. RESULTS: Employees spent 8:09±0:31h/day at work and 'hot' desk use ranged from zero to 9:35h for the week. There were no significant changes in mean time spent in sedentary (difference of -0.1%), light (difference of 0.8%) and moderate+ (-0.7%) intensity categories. However, individual changes in sedentary work time ranged from -5.9 to 6.4%. CONCLUSIONS: Volitional use of standing 'hot' desks varied and while individual changes were apparent, desk use did not alter overall sedentary work time in this sample.Copyright © 2012 by Elsevier Inc. [ABSTRACT FROM AUTHOR]

Background: The online BeUpstanding™ program is an eight-week workplace-delivered intervention for desk-based workers to raise awareness of the benefits of sitting less and moving more and build a supportive culture for change. A workplace representative (the "champion") delivers the program, which includes a workshop where teams collectively choose their sit less/move more strategies. A toolkit provides the champion with a step-by-step guide and associated resources to support program uptake, delivery, and evaluation. Here we report on the main findings from the Australian national implementation trial of BeUpstanding., Methods: Recruitment (12/06/2019 to 30/09/2021) was supported by five policy and practice partners, with desk-based work teams from across Australia targeted. Effectiveness was measured via a single arm, repeated-measures trial. Data were collected via online surveys, toolkit analytics, and telephone calls with champions. The RE-AIM framework guided evaluation, with adoption/reach (number and characteristics); effectiveness (primary: self-reported workplace sitting time); implementation (completion of core components; costs); and, maintenance intentions reported here. Linear mixed models, correcting for cluster, were used for effectiveness, with reach, adoption, implementation, and maintenance outcomes described., Results: Of the 1640 website users who signed-up to BeUpstanding during the recruitment period, 233 were eligible, 198 (85%) provided preliminary consent, and 118 (50.6%) champions consented and started the trial, with 94% (n = 111 champions) completing. Trial participation was from across Australia and across industries, and reached 2,761 staff, with 2,248 participating in the staff survey(s): 65% female; 64% university educated; 17% from a non-English speaking background. The program effectively changed workplace sitting (-38.5 [95%CI -46.0 to -28.7] minutes/8-hour workday) and all outcomes targeted by BeUpstanding (behaviours and culture), with small-to-moderate statistically-significant effects observed. All participating teams (n = 94) completed at least 5/7 core steps; 72.4% completed all seven. Most champions spent $0 (72%) or >$0-$5 (10%) per team member; most (67/70 96%) intended to continue or repeat the program., Conclusions: BeUpstanding can be adopted and successfully implemented by a range of workplaces, reach a diversity of staff, and be effective at creating a supportive culture for teams of desk-based workers to sit less and move more. Learnings will inform optimisation of the program for longer-term sustainability., Trial Registration: ACTRN12617000682347., (© 2024. The Author(s).)

Issue Addressed: Referral to supervised physical activity (PA) programs is an effective treatment for military service veterans (MSVs) suffering from a range of chronic diseases. However, many MSVs fail to maintain PA regimes once discharged from supervision. This pilot study assessed Active Choices, a stepped-down program to support MSVs in the transition from allied health treatment to self-managed PA., Methods: Participants were 34 Australian MSVs (mean [SD] age = 61 [15.8] years) who were completing supervised referral to an exercise physiologist or physiotherapist. MSVs stepped-down to Active Choices and received a 12-week, evidence-based PA support program (2020-2021). Analyses compared within-group changes in accelerometer-assessed PA at three time points (Weeks 0, 12, and 24; linear mixed model). Program retention, PA choices, and allied healthcare service costs were also evaluated., Results: Relative to baseline (64 [26] min/day), mean (SD) moderate-to-vigorous PA increased (74 [28] min/day; p < .05) and was maintained (62 [28] min/day) at weeks 12 and 24, respectively. Retention in the program was high (86% [29/34 participants] completion rate at 12 weeks), with water-based group activities the most popular PAs of choice (14/24 activities). Average allied healthcare service costs during the study were lower than typical costs for MSVs (60.51 vs. 97.06 AUD/week)., Conclusion: The findings highlight the potential of Active Choices to support MSVs in the transition from supervised to self-managed MVPA. SO WHAT?: The program could promote the health of veterans and reduce costs for ongoing referral if impact is replicated at scale., (© 2023 The Authors. Health Promotion Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of Australian Health Promotion Association.)

Objective: This cluster-controlled pilot study assessed the efficacy and feasibility of "Fit 2 Drive," a depot-delivered, high-intensity interval training (HIIT) program to improve the cardiorespiratory fitness (CRF) of truck drivers., Methods: Companies of local delivery drivers (44 men; mean [SD] age = 50.5 [9.8] years; Brisbane, Australia) were assigned to "Fit 2 Drive" (4 clusters; 27 drivers; 1 × 4 minutes supervised to self-managed HIIT, 3 times a week, 12 weeks) or a control (5 clusters; 17 drivers). Analyses assessed between group changes in CRF (VO 2peak ), HIIT session attendance, and delivery costs., Results: Driver clusters allocated to "Fit 2 Drive" significantly improved CRF compared to a control (mean difference of 3.6 mL·kg -1 ·min -1 ; P < 0.019; 95% confidence interval = 0.7-6.5 mL·kg -1 ·min -1 ). Drivers who completed the program attended 70% of sessions (25/36) with delivery costs averaging $710 AUD per driver., Conclusions: The findings support the efficacy and feasibility of Fit 2 Drive but also highlight challenges for in-person delivery at scale., Competing Interests: Conflicts of interest: None declared., (Copyright © 2023 American College of Occupational and Environmental Medicine.)

Objectives: To assess evidence on the impact of acute and chronic high intensity interval training (HIIT) and sprint interval training (SIT) on work-related performance tests of cognitive function in adults., Methods: The databases PubMed, CINAHL, Scopus, PsycINFO, Embase, and the Cochrane Library were searched for relevant articles up to August 2022. Eligible studies assessed the effects of HIIT (70%-100% VO 2max ) and/or SIT (≥100% VO 2max ) on cognitive function test scores in cognitively healthy adults, relative to a control or comparative exercise group/condition. Data on participant characteristics, exercise protocol, key outcomes, and intervention setting were extracted. Study quality was assessed using a 9 (single session HIIT/SIT) and 14 (multiple session HIIT/SIT) item checklist., Results: Thirty-six studies (15 countries; n = 11-945 participants) met inclusion criteria. Mean quality scores were "fair-to-good" for acute (single session; mean = 6.9 [SD 1.0]) and chronic (multiple session; mean = 9.8 [SD 1.6]) training studies. Eighteen from 36 studies (12/20 [55%] acute and 6/16 [38%] chronic training studies) evidenced significant improvements in aspects of cognitive function related to work performance (i.e., attention, inhibition, memory, information processing speed, cognitive flexibility, intelligence, reaction time, and learning). Only four studies tested the impact of HIIT/SIT on cognitive function in a work-based setting (e.g., the office or home)., Conclusions: While there is promising evidence, particularly from acute training studies, to indicate that high intensity, short duration exercise benefits cognitive function in adults, there is very limited evidence of application in workplace contexts. To better understand the potential benefits to employee performance and safety, HIIT/SIT and cognitive function research needs to transition from laboratory to "in-situ" occupational settings., (© 2023 The Authors. Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.)

Physical inactivity and obesity are widely prevalent in Heavy Goods Vehicle (HGV) drivers. We analysed whether obesity classification influenced the effectiveness of a bespoke structured lifestyle intervention ('SHIFT') for HGV drivers. The SHIFT programme was evaluated within a cluster randomised controlled trial, across 25 transport depots in the UK. After baseline assessments, participants within intervention sites received a 6-month multi-component health behaviour change intervention. Intervention responses (verses control) were stratified by obesity status (BMI < 30 kg/m 2 , n = 131; BMI ≥ 30 kg/m 2 , n = 113) and compared using generalised estimating equations. At 6-months, favourable differences were found in daily steps (adjusted mean difference 1827 steps/day, p < 0.001) and sedentary time (adjusted mean difference -57 min/day, p < 0.001) in drivers with obesity undertaking the intervention, relative to controls with obesity. Similarly, in drivers with obesity, the intervention reduced body weight (adjusted mean difference -2.37 kg, p = 0.002) and led to other favourable anthropometric outcomes, verses controls with obesity. Intervention effects were absent for drivers without obesity, and for all drivers at 16-18-months follow-up. Obesity classification influenced HGV drivers' behavioural responses to a multi-component health-behaviour change intervention. Therefore, the most at-risk commercial drivers appear receptive to a health promotion programme.

Purpose: To assess physical activity and sitting time in workers from varied occupations in a regional urban population of Papua New Guinea (PNG), to identify priorities for worker health in a country experiencing rapid industrial development., Methods: PNG workers from a variety of settings (office [n = 213], blue-collar [n = 131], and retail [n = 52]) completed an interviewer-administered demographic questionnaire, the International Physical Activity Questionnaire-short form (IPAQ) and the Occupational Sitting and Physical Activity Questionnaire (OSPAQ); and had height and weight measured. Comparison of activity and sitting time between occupational groups was undertaken using generalised linear equations, with models including demographic variables and sitting time/physical activity as appropriate., Results: Participants reported median total physical activity (walking, moderate and vigorous PA) of 5025 MET-min/week (80% constituting walking) and over 97% of participants met physical activity guidelines (> 600 MET-min/week). Total sitting time was 7 hours/day (IPAQ) and workers sat for 50% of working hours (OSPAQ). There was no difference between groups total physical activity. Office workers reported more total sitting time and a greater proportion of their work time spent sitting than blue-collar and retail workers reported significantly less total sitting time both p < 0.001) and retail workers reported a greater proportion of their work hours standing than office workers and blue-collar workers., Conclusions: Sitting time in PNG office workers was high, similar to findings from high-income countries, but total physical activity was also high in all groups. As the PNG economy develops and office-based work becomes more prevalent, the challenge will be to minimise sitting time at work whilst maintaining high total physical activity., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Objective: Physical inactivity, prolonged sitting, and unhealthy dietary habits are common in Heavy Goods Vehicle (HGV) drivers. These factors increase risk of long-term health conditions., Methods: 329 HGV drivers across 25 UK depots completed a health assessment, including questionnaire completion, and objectively measured anthropometrics, blood biomarkers, physical activity (PA), and sedentary behavior., Results: The sample demonstrated a high-risk cardiometabolic health profile. 88.1% were overweight or had obesity, and 11.9% had pre-diabetes or diabetes. 28.3% had hypertension, 83.6% had clinically elevated circulating low-density lipoprotein-cholesterol concentrations (>2mmol/l), and 66.6% had high total cholesterol levels (>4mmol/l). On workdays drivers accumulated 12 hours/day of sitting, 1.7 hours/day of light PA, and 9.8 mins/day of moderate-to-vigorous PA. Associations between light PA and cardiometabolic markers were observed., Conclusion: This sample presents high levels of inactivity, overweight, and obesity, and unhealthy cardiometabolic health profiles., Competing Interests: The authors report no conflicts of interest., (Copyright © 2022 American College of Occupational and Environmental Medicine.)

Background: In some occupational groups, prolonged standing is associated with adverse symptoms. While the introduction of sit-stand workstations in office workers is increasingly common, the profile of symptom development is not known., Objectives: To identify and describe the location, intensity, quality, and timing of symptoms experienced by office workers while standing at a sit-stand workstation., Methods: This cross-sectional observational study was performed in an university campus laboratory simulated as an office with a sit-stand workstation. Sixty-three office workers without low back pain or prior exposure to a sit-stand workstation participated. For primary outcome measures, participants recorded any symptoms of pain, stiffness, and/or fatigue on a body chart every 15 min during a 2-hour standing task. Participants rated symptom intensity on an 11-point numerical rating scale (NRS)., Results: Fifty-three participants (84%) experienced symptoms during the 2-hour standing task, with 30 participants (48%) reporting at least one symptom within 30 min of standing. A greater number of participants reported symptoms rated ≥2 on the NRS in the lumbar spine, lower extremity, and feet/ankle than the upper quadrant (odds ratios from 3.84 to 6.86). Mean maximal symptom intensity for the lumbar spine was greater than that for the upper quadrant and feet/ankles (incidence rate ratios: 1.46 to 1.79)., Conclusion: Symptoms of pain, stiffness, and fatigue, especially those affecting the lumbar spine, lower extremity and feet/ankles are common in office workers who stand at a workstation. Study findings suggest that physical therapists should advise workers using sit-stand workstations to monitor symptoms and consider changing position within 30 min., Competing Interests: Declaration of competing interest None., (Copyright © 2022 Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia. Publicado por Elsevier España, S.L.U. All rights reserved.)

Objectives: A stepped-down program is one where clients transition from the care of a health professional to self-managed care. This study reviewed the effectiveness of stepped-down interventions to promote self-managed physical activity for health in military service veterans., Design: Systematic review., Methods: Literature searches of 11 electronic databases were performed (up to 28th April 2020) to identify randomised controlled trials that assessed self-managed physical activity interventions in military service veterans. Data were extracted on study characteristics, intervention programs (with strategies mapped against a taxonomy of behaviour change techniques), and physical activity outcomes; secondary outcomes were physical fitness/function, psychosocial health, and cost effectiveness. Study quality was assessed using a 15-item checklist adapted from the TESTEX scale., Results: Searches identified 26 studies (all from the United States; N = 45 to 531 participants) representing 17 intervention programs. Studies were of good quality (M = 10.7; SD = 2.3). More than half (54%) reported positive between-group intervention effects for physical activity outcomes (mean increase of 80 min/week in self-reported physical activity at 10-12 months). Physical fitness/function outcomes improved in 38% of studies, but no studies found significant intervention effects for psychosocial health or cost effectiveness outcomes. Behaviour change techniques most frequently used to elicit physical activity changes were education, goal setting, goal review and self-monitoring., Conclusions: Stepped-down programs that include specific behaviour change techniques have the potential to promote self-management of physical activity in military service veterans. Multi-national randomised controlled trials that use objective physical activity measures are needed to further build the evidence base., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

This study assessed cardiorespiratory fitness (CRF) and 24-h sleep, sedentary behavior (SB), and physical activity (PA) in Australian truck drivers. Participants (n = 37 men) attended clinic sessions for an exercise test to exhaustion to establish CRF and wore an accelerometer (Actigraph GT3X+) to estimate sleep, SB, and PA. Relative to normative values, CRF was "below percentile 25" in 51% of drivers (mean [SD] VO 2peak=30 .1 [7.6] mL.kg-1.min-1). Accelerometer data indicated that total vigorous-intensity (3.5-4.5 min/day) and sustained moderate- to vigorous-intensity PA (>5 min; 0.5-1.6 bouts/day) were limited. The findings show there is a need to design and test PA interventions that can improve poor levels of CRF in truck drivers., (© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: A stepped-down program is one in which clients transition from the care of a health professional to self-managed care. Very little is known about the effectiveness of stepped-down physical activity (PA) programs for military service veterans., Objective: This study will test Active Choices, a stepped-down behavioral support program designed to help Australian Defence Force veterans and their dependents who are clients of the Department of Veterans' Affairs, transition from treatment by an exercise physiologist or physiotherapist to self-managed PA., Methods: The study is a parallel-group, randomized trial, with city-based exercise physiology or physiotherapy practices that recruit eligible Department of Veterans' Affairs clients assigned to Active Choices or a comparison program. The study aims to recruit 52 participants (26 in each group). The Active Choices program will consist of 2 face-to-face (Weeks 1, 12) and 2 telephone (Weeks 4 and 8) consultations. During these sessions, the participant and Active Choices consultant will utilize an evidence-based resource booklet to review the key benefits of an active lifestyle, build an action plan for PA preferences, set and review goals, self-monitor progress relative to set goals, and discuss strategies to overcome PA barriers. Linking participants to local PA communities to overcome social isolation will be a program priority. The comparison program will consist of 2 consultations (Weeks 1 and 12) and use fewer behavioral support strategies (education, self-monitoring, and action planning only) than Active Choices. Outcome measures will be administered at baseline, end-intervention (12 weeks), and follow-up (24 weeks) to assess changes in moderate intensity self-managed PA, psychological well-being, and social connectedness. We will also measure health service utilization and costs as well as PA choices across the intervention period. End-intervention interviews will capture participant experiences., Results: Due to the impacts of the COVID-19 pandemic on human research activities in Australia, participant recruitment will commence when it is safe and feasible to do so., Conclusions: Findings will provide valuable pilot data to support up-scaling of the program and larger effectiveness trials with regional and rural as well as city-based Australian Defence Force veterans and their dependents., Trial Registration: Australian and New Zealand Clinical Trials Registry (ANZCTR): ACTRN12620000559910; https://www.anzctr.org.au/ACTRN12620000559910.aspx., International Registered Report Identifier (irrid): PRR1-10.2196/21911., (©Nicholas D Gilson, Zoe E Papinczak, Gregore Iven Mielke, Catherine Haslam, Jonas Fooken, Jim McKenna, Wendy J Brown. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.02.2021.)

Background: The web-based BeUpstanding Champion Toolkit was developed to support work teams in addressing the emergent work health and safety issue of excessive sitting. It provides a step-by-step guide and associated resources that equip a workplace representative-the champion-to adopt and deliver the 8-week intervention program (BeUpstanding) to their work team. The evidence-informed program is designed to raise awareness of the benefits of sitting less and moving more, build a supportive culture for change, and encourage staff to take action to achieve this change. Work teams collectively choose the strategies they want to implement and promote to stand up, sit less, and move more, with this bespoke and participative approach ensuring the strategies are aligned with the team's needs and existing culture. BeUpstanding has been iteratively developed and optimized through a multiphase process to ensure that it is fit for purpose for wide-scale implementation., Objective: The study aimed to describe the current version of BeUpstanding, and the methods and protocol for a national implementation trial., Methods: The trial will be conducted in collaboration with five Australian workplace health and safety policy and practice partners. Desk-based work teams from a variety of industries will be recruited from across Australia via partner-led referral pathways. Recruitment will target sectors (small business, rural or regional, call center, blue collar, and government) that are of priority to the policy and practice partners. A minimum of 50 work teams will be recruited per priority sector with a minimum of 10,000 employees exposed to the program. A single-arm, repeated-measures design will assess the short-term (end of program) and long-term (9 months postprogram) impacts. Data will be collected on the web via surveys and toolkit analytics and by the research team via telephone calls with champions. The Reach, Effectiveness, Adoption, Implementation, and Maintenance Framework will guide the evaluation, with assessment of the adoption/reach of the program (the number and characteristics of work teams and participating staff), program implementation (completion by the champion of core program components), effectiveness (on workplace sitting, standing, and moving), and maintenance (sustainability of changes). There will be an economic evaluation of the costs and outcomes of scaling up to national implementation, including intervention affordability and sustainability., Results: The study received funding in June 2018 and the original protocol was approved by institutional review board on January 9, 2017, with national implementation trial consent and protocol amendment approved March 12, 2019. The trial started on June 12, 2019, with 48 teams recruited as of December 2019., Conclusions: The implementation and multimethod evaluation of BeUpstanding will provide the practice-based evidence needed for informing the potential broader dissemination of the program., Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12617000682347; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372843&isReview=true., International Registered Report Identifier (irrid): DERR1-10.2196/15756., (©Genevieve Nissa Healy, Ana D Goode, Alison Abbott, Jennifer Burzic, Bronwyn K Clark, David W Dunstan, Elizabeth G Eakin, Matthew Frith, Nicholas D Gilson, Lan Gao, Lynn Gunning, Jodie Jetann, Anthony D LaMontagne, Sheleigh P Lawler, Marjory Moodie, Phuong Nguyen, Neville Owen, Leon Straker, Perri Timmins, Lisa Ulyate, Elisabeth A H Winkler. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 04.05.2020.)

Background: This systematic review assessed evidence on the accelerometer-measured sedentary and physical activity (PA) behavior of nonoffice workers in "blue-collar" industries., Methods: The databases CINAHL, Embase, MEDLINE, PubMed, and Scopus were searched up to April 6, 2018. Eligibility criteria were accelerometer-measured sedentary, sitting, and/or PA behaviors in "blue-collar" workers (≥10 participants; agricultural, construction, cleaning, manufacturing, mining, postal, or transport industries). Data on participants' characteristics, study protocols, and measured behaviors during work and/or nonwork time were extracted. Methodologic quality was assessed using a 12-item checklist., Results: Twenty studies (representing 11 data sets), all from developed world economies, met inclusion criteria. The mean quality score for selected studies was 9.5 (SD 0.8) out of a maximum of 12. Data were analyzed using a range of analytical techniques (eg, accelerometer counts or pattern recognition algorithms). "Blue-collar" workers were more sedentary and less active during nonwork compared with work time (eg, sitting 5.7 vs 3.2 h/d; moderate to vigorous PA 0.5 vs 0.7 h/d). Drivers were the most sedentary (work time 5.1 h/d; nonwork time 8.2 h/d)., Conclusions: High levels of sedentary time and insufficient PA to offset risk are health issues for "blue-collar" workers. To better inform interventions, research groups need to adopt common measurement and reporting methodologies.

Objective: This study validated the Walk@Work-Application (W@W-App) for measuring occupational sitting and stepping., Methods: The W@W-App was installed on the smartphones of office-based employees (n=17; 10 women; 26±3 years). A prescribed 1-hour laboratory protocol plus two continuous hours of occupational free-living activities were performed. Intra-class correlation coefficients (ICC) compared mean differences of sitting time and step count measurements between the W@W-App and criterion measures (ActivPAL3TM and SW200Yamax Digi-Walker)., Results: During the protocol, agreement between self-paced walking (ICC=0.85) and active working tasks step counts (ICC=0.80) was good. The smallest median difference was for sitting time (1.5seconds). During free-living conditions, sitting time (ICC=0.99) and stepping (ICC=0.92) showed excellent agreement, with a difference of 0.5minutes and 18 steps respectively., Conclusions: The W@W-App provided valid measures for monitoring occupational sedentary patterns in real life conditions; a key issue for increasing awareness and changing occupational sedentariness., (Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.)

Background: The Web-based, evidence-informed BeUpstanding Champion Toolkit was developed to provide employers (via a "train-the-champion approach") with resources and support to help in reducing prolonged sitting in their own desk-based workplace. As part of a five-phase research-to-dissemination process, this study reports on the evaluation of the beta (test) version of this toolkit (Phase 2)., Objective: The objective of our study was to evaluate (1) the implementation of the toolkit by workplace champions and (2) the impact of the toolkit on sitting (primary outcome), standing, and moving; use of activity-promoting strategies; knowledge and attitudes; and indicators of health and work performance., Methods: An implementation study using a pre-post design was conducted in 7 desk-based workplaces in Australia (September 2015 to May 2016), with work teams (one per workplace) purposively recruited to ensure representation across a range of sectors (white- or blue-collar), organizational sizes (small or medium or large), and locations (metropolitan or regional). All staff within participating teams were invited to participate in the relevant toolkit activities. Implementation outcomes (time commitment required by champions and toolkit activities completed) were collected from each champion via telephone interviews. Changes in impact outcomes, measured via a Web-based questionnaire completed by employees at baseline and 3 months postimplementation, were assessed using mixed models, correcting for clustering., Results: Champions reported a 30-60 minutes per week time commitment to the toolkit activities. All teams formed a wellbeing committee and sent the staff surveys at both time points; most champions held a staff consultation workshop (6/7), identified team-level strategies within that workshop (5/7), used the communication resources provided within the toolkit (emails, posters; 6/7), and completed the action plan (5/7). In total, 52% (315 of ≈600) employees participated in at least one survey and 97 (16%) participated in both. At follow-up, there was a significant (P<.05) reduction in self-reported workplace sitting time compared to baseline (-6.3%, 95% CI -10.1 to -2.5; n=85) equating to ≈30 minutes per workday. Significant benefits were also observed for the use of activity-promoting strategies, with small, nonsignificant changes observed for knowledge and attitudes and indicators of health and work performance., Conclusions: The beta version of the BeUpstanding Champion Toolkit was feasible to implement and effective in reducing self-reported workplace sitting across a broad range of desk-based workplaces. The next phase (Phase 3) will build on these findings to optimize the toolkit for wider-scale implementation and longer term evaluation., (©Genevieve Nissa Healy, Elizabeth G Eakin, Elisabeth AH Winkler, Nyssa Hadgraft, David W Dunstan, Nicholas D Gilson, Ana D Goode. Originally published in JMIR Formative Research (http://formative.jmir.org), 28.08.2018.)

Background: This pilot study investigated the links between psychobiological indicators of work productivity, prolonged desk sitting, and conditions whereby office workers were able to interrupt sitting using a sit-stand or treadmill desk., Methods: Twenty participants visited our laboratory and completed their own desk work in counterbalanced sit-only, sit-stand (Varidesk Pro Plus 48™), and sit-walk conditions (Infiniti TR1200-DTS™). Steady-state visually evoked potentials calculated from electroencephalography recordings during a set task at the end of the workday assessed attentional resource. Salivary cortisol samples were taken during the morning and afternoon to measure stress response. Within-subject analyses were used to compare work productivity indicators relative to condition., Results: No significant differences in mean steady-state visually evoked potential amplitude were observed, although attentional resource allocation was found to be the most effective following the sit-stand [1.01 (0.46) μV] compared with the sit-walk [0.9 (0.28) μV] and sit-only [0.91 (0.32) μV] conditions. The mean magnitude of decrease in cortisol was most apparent when workers used treadmill (1.5 nmol/L; P = .007) and sit-stand (1.6 nmol/L; P = .001) desks, and least evident in the sit-only condition (1.0 nmol/L; P = .146)., Conclusions: The findings highlight the potential benefits of standing or active deskwork to the allocation of attentional resources and the regulation of stress.

We evaluated the impact of a workplace 'sit less, move more' programme (Walk@WorkSpain, W@WS, 19-week) on self-reported activity-related energy expenditure (AREE) in Spanish office employees (n = 264; 42 ± 10 years; 171 female) randomly assigned to Intervention (IG; used W@WS; n = 129) or comparison groups (CGs; n = 135). A linear mixed model assessed changes in METs-min/wk of total, vigorous, moderate and light physical activity (IPAQ short form) between baseline and 2 months follow-up. Over the CG, IG significantly increased light intensity AREE (P = 0.027). W@WS secured sustained increases on AREE-but not on achieving PA recommendations-providing translational evidence that active living in office employees can be increased., (© The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Background: Chronic diseases are high in truck drivers and have been linked to work routines that promote inactivity and poor diets. This feasibility study examined the extent to which an m-Health financial incentives program facilitated physical activity and healthy dietary choices in Australian truck drivers., Methods: Nineteen men (mean [SD] age = 47.5 [9.8] years; BMI = 31.2 [4.6] kg/m 2 ) completed the 20-week program, and used an activity tracker and smartphone application (Jawbone UP™) to regulate small positive changes in occupational physical activity, and fruit, vegetable, saturated fat and processed/refined sugar food/beverage choices. Measures (baseline, end-program, 2-months follow-up; April-December 2014) were accelerometer-determined proportions of work time spent physically active, and a workday dietary questionnaire. Statistical (repeated measures ANOVA) and thematic (interviews) analyses assessed program impact., Results: Non-significant increases in the mean proportions of work time spent physically active were found at end-program and follow-up (+1%; 7 mins/day). Fruit (p = 0.023) and vegetable (p = 0.024) consumption significantly increased by one serve/day at end-program. Non-significant improvements in saturated fat (5%) and processed/refined sugar (1%) food/beverage choices were found at end-program and follow-up. Overall, 65% (n = 11) of drivers demonstrated positive changes in physical activity, and at least one dietary choice (e.g. saturated fat) at follow-up. Drivers found the financial incentives component of the program to be a less effective facilitator of change than the activity tracker and smartphone application, although this technology was easier to use for monitoring of physical activity than healthy dietary choices., Conclusions: Not all drivers benefitted from the program. However, positive changes for different health behaviours were observed in the majority of participants. Outcomes from this feasibility study inform future intervention development for studies with larger samples., Trial Registration: ANZCTR12616001513404 . Registered November 2nd, 2016 (retrospectively registered).

Background: Few studies have examined the impact of 'sit less, move more' interventions on workplace performance. This study assessed the short and mid-term impacts of and patterns of change within, a 19-week workplace web-based intervention (Walk@WorkSpain; W@WS; 2010-11) on employees´ presenteeism, mental well-being and lost work performance., Methods: A site randomised control trial recruited employees at six Spanish university campuses (n = 264; 42 ± 10 years; 171 female), assigned by worksite and campus to an Intervention (IG; used W@WS; n = 129; 87 female) or an active Comparison group (A-CG; pedometer, paper diary and self-reported sitting time; n = 135; 84 female). A linear mixed model assessed changes between the baseline, ramping (8 weeks), maintenance (11 weeks) and follow-up (two months) phases for the IG versus A-CG on (i) % of lost work productivity (Work Limitations Questionnaire; WLQ); (ii) three scales for presenteeism (WLQ) assessing difficulty meeting scheduling demands (Time), performing cognitive and inter-personal tasks (Mental-Interpersonal) and decrements in meeting the quantity, quality and timeliness of completed work (Output); and (iii) mental well-being (Warwick-Edinburgh Mental Well-being Scale). T-tests assessed differences between groups for changes on the main outcomes. In the IG, a multivariate logistic regression model identified patterns of response according to baseline socio-demographic variables, physical activity and sitting time., Results: There was a significant 2 (group) × 2 (program time points) interaction for the Time (F [3]=8.69, p = 0.005), Mental-Interpersonal (F [3]=10.01, p = 0.0185), Output scales for presenteeism (F [3]=8.56, p = 0.0357), and for % of lost work performance (F [3]=10.31, p = 0.0161). Presenteeism and lost performance rose significantly in both groups across all study time points; after baseline performance was consistently better in the IG than in the A-CG. Better performance was linked to employees being more active (Time, p = 0.041) and younger (Mental-interpersonal, p = 0.057; Output, p = 0.017). Higher total sitting time during nonworking days (Mental-interpersonal, p = 0.019) and lower sitting time during workdays (WLQ Index, p = 0.013) also improved performance., Conclusion: Versus an active comparison condition, a 'sit less, move more` workplace intervention effectively reduced an array of markers of lost workday productivity., Trial Registration: NCT02960750 ; Date of registration: 07/11/2016.

Objectives: Wrist-worn accelerometers are convenient to wear and associated with greater wear-time compliance. Previous work has generally relied on choreographed activity trials to train and test classification models. However, validity in free-living contexts is starting to emerge. Study aims were: (1) train and test a random forest activity classifier for wrist accelerometer data; and (2) determine if models trained on laboratory data perform well under free-living conditions., Design: Twenty-one participants (mean age=27.6±6.2) completed seven lab-based activity trials and a 24h free-living trial (N=16)., Methods: Participants wore a GENEActiv monitor on the non-dominant wrist. Classification models recognising four activity classes (sedentary, stationary+, walking, and running) were trained using time and frequency domain features extracted from 10-s non-overlapping windows. Model performance was evaluated using leave-one-out-cross-validation. Models were implemented using the randomForest package within R. Classifier accuracy during the 24h free living trial was evaluated by calculating agreement with concurrently worn activPAL monitors., Results: Overall classification accuracy for the random forest algorithm was 92.7%. Recognition accuracy for sedentary, stationary+, walking, and running was 80.1%, 95.7%, 91.7%, and 93.7%, respectively for the laboratory protocol. Agreement with the activPAL data (stepping vs. non-stepping) during the 24h free-living trial was excellent and, on average, exceeded 90%. The ICC for stepping time was 0.92 (95% CI=0.75-0.97). However, sensitivity and positive predictive values were modest. Mean bias was 10.3min/d (95% LOA=-46.0 to 25.4min/d)., Conclusions: The random forest classifier for wrist accelerometer data yielded accurate group-level predictions under controlled conditions, but was less accurate at identifying stepping verse non-stepping behaviour in free living conditions Future studies should conduct more rigorous field-based evaluations using observation as a criterion measure., (Copyright © 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

Objectives: This efficacy study assessed the added impact real time computer prompts had on a participatory approach to reduce occupational sedentary exposure and increase physical activity., Design: Quasi-experimental., Methods: 57 Australian office workers (mean [SD]; age=47 [11] years; BMI=28 [5]kg/m 2 ; 46 men) generated a menu of 20 occupational 'sit less and move more' strategies through participatory workshops, and were then tasked with implementing strategies for five months (July-November 2014). During implementation, a sub-sample of workers (n=24) used a chair sensor/software package (Sitting Pad) that gave real time prompts to interrupt desk sitting. Baseline and intervention sedentary behaviour and physical activity (GENEActiv accelerometer; mean work time percentages), and minutes spent sitting at desks (Sitting Pad; mean total time and longest bout) were compared between non-prompt and prompt workers using a two-way ANOVA., Results: Workers spent close to three quarters of their work time sedentary, mostly sitting at desks (mean [SD]; total desk sitting time=371 [71]min/day; longest bout spent desk sitting=104 [43]min/day). Intervention effects were four times greater in workers who used real time computer prompts (8% decrease in work time sedentary behaviour and increase in light intensity physical activity; p<0.01). Respective mean differences between baseline and intervention total time spent sitting at desks, and the longest bout spent desk sitting, were 23 and 32min/day lower in prompt than in non-prompt workers (p<0.01)., Conclusions: In this sample of office workers, real time computer prompts facilitated the impact of a participatory approach on reductions in occupational sedentary exposure, and increases in physical activity., (Copyright © 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

Background: Activity trackers are increasingly popular with both consumers and researchers for monitoring activity and for promoting positive behavior change. However, there is a lack of research investigating the performance of these devices in free-living contexts, for which findings are likely to vary from studies conducted in well-controlled laboratory settings., Objective: The aim was to compare Fitbit One and Jawbone UP estimates of steps, moderate-to-vigorous physical activity (MVPA), and sedentary behavior with data from the ActiGraph GT3X+ accelerometer in a free-living context., Methods: Thirty-two participants were recruited using convenience sampling; 29 provided valid data for this study (female: 90%, 26/29; age: mean 39.6, SD 11.0 years). On two occasions for 7 days each, participants wore an ActiGraph GT3X+ accelerometer on their right hip and either a hip-worn Fitbit One (n=14) or wrist-worn Jawbone UP (n=15) activity tracker. Daily estimates of steps and very active minutes were derived from the Fitbit One (n=135 days) and steps, active time, and longest idle time from the Jawbone UP (n=154 days). Daily estimates of steps, MVPA, and longest sedentary bout were derived from the corresponding days of ActiGraph data. Correlation coefficients and Bland-Altman plots with examination of systematic bias were used to assess convergent validity and agreement between the devices and the ActiGraph. Cohen's kappa was used to assess the agreement between each device and the ActiGraph for classification of active versus inactive (≥10,000 steps per day and ≥30 min/day of MVPA) comparable with public health guidelines., Results: Correlations with ActiGraph estimates of steps and MVPA ranged between .72 and .90 for Fitbit One and .56 and .75 for Jawbone UP. Compared with ActiGraph estimates, both devices overestimated daily steps by 8% (Fitbit One) and 14% (Jawbone UP). However, mean differences were larger for daily MVPA (Fitbit One: underestimated by 46%; Jawbone UP: overestimated by 50%). There was systematic bias across all outcomes for both devices. Correlations with ActiGraph data for longest idle time (Jawbone UP) ranged from .08 to .19. Agreement for classifying days as active or inactive using the ≥10,000 steps/day criterion was substantial (Fitbit One: κ=.68; Jawbone UP: κ=.52) and slight-fair using the criterion of ≥30 min/day of MVPA (Fitbit One: κ=.40; Jawbone UP: κ=.14)., Conclusions: There was moderate-strong agreement between the ActiGraph and both Fitbit One and Jawbone UP for the estimation of daily steps. However, due to modest accuracy and systematic bias, they are better suited for consumer-based self-monitoring (eg, for the public consumer or in behavior change interventions) rather than to evaluate research outcomes. The outcomes that relate to health-enhancing MVPA (eg, "very active minutes" for Fitbit One or "active time" for Jawbone UP) and sedentary behavior ("idle time" for Jawbone UP) should be used with caution by consumers and researchers alike., Competing Interests: Conflicts of Interest: None declared.

Context and Purpose: Too much sitting is now recognised as a common risk factor for several health outcomes, with the workplace identified as a key setting in which to address prolonged sitting time. The Stand Up Australia intervention was designed to reduce prolonged sitting in the workplace by addressing influences at multiple-levels, including the organisation, the environment, and the individual. Intervention success has been achieved within the context of randomised controlled trials, where research staff deliver several of the key intervention components. This study describes the initial step in the multi-phase process of scaling up the Stand Up Australia intervention for workplace translation., Methods: A research-government partnership was critical in funding and informing the prototype for the scaled up BeUpstanding program™. Evidence, protocols and materials from Stand Up Australia were adapted in collaboration with funding partner Workplace Health and Safety Queensland to ensure consistency and compatibility with existing government frameworks and resources. In recognition of the key role of workplace champions in facilitating workplace health promotion programs, the BeUpstanding program™ is designed to be delivered through a stand-alone, free, website-based toolkit using a 'train the champion' approach., Key Findings and Significance: The BeUpstanding program™ was influenced by the increasing recognition of prolonged sitting as an emerging health issue as well as industry demand. The research-government partnership was critical in informing and resourcing the development of the scaled-up program., Competing Interests: Conflict of Interest: All authors declare no conflicts of interest on this paper.

Objective: This study examined chronic disease risks and the use of a smartphone activity tracking application during an intervention in Australian truck drivers (April-October 2014)., Methods: Forty-four men (mean age=47.5 [SD 9.8] years) completed baseline health measures, and were subsequently offered access to a free wrist-worn activity tracker and smartphone application (Jawbone UP) to monitor step counts and dietary choices during a 20-week intervention. Chronic disease risks were evaluated against guidelines; weekly step count and dietary logs registered by drivers in the application were analysed to evaluate use of the Jawbone UP., Results: Chronic disease risks were high (e.g. 97% high waist circumference [≥ 94 cm]). Eighteen drivers (41%) did not start the intervention; smartphone technical barriers were the main reason for drop out. Across 20-weeks, drivers who used the Jawbone UP logged step counts for an average of 6 [SD 1] days/week; mean step counts remained consistent across the intervention (weeks 1-4=8,743[SD 2,867] steps/day; weeks 17-20=8,994[SD 3,478] steps/day). The median number of dietary logs significantly decreased from start (17 [IQR 38] logs/weeks) to end of the intervention (0 [IQR 23] logs/week; p<0.01); the median proportion of healthy diet choices relative to total diet choices logged increased across the intervention (weeks 1-4=38[IQR 21]%; weeks 17-20=58[IQR 18]%)., Conclusions: Step counts were more successfully monitored than dietary choices in those drivers who used the Jawbone UP., Implications: Smartphone technology facilitated active living and healthy dietary choices, but also prohibited intervention engagement in a number of these high-risk Australian truck drivers., (© 2015 Public Health Association of Australia.)

Purpose: Encouraging office workers to 'sit less and move more' encompasses two public health priorities. However, there is little evidence on the effectiveness of workplace interventions for reducing sitting, even less about the longer term effects of such interventions and still less on dual-focused interventions. This study assessed the short and mid-term impacts of a workplace web-based intervention (Walk@WorkSpain, W@WS; 2010-11) on self-reported sitting time, step counts and physical risk factors (waist circumference, BMI, blood pressure) for chronic disease., Methods: Employees at six Spanish university campuses (n=264; 42±10 years; 171 female) were randomly assigned by worksite and campus to an Intervention (used W@WS; n=129; 87 female) or a Comparison group (maintained normal behavior; n=135; 84 female). This phased, 19-week program aimed to decrease occupational sitting time through increased incidental movement and short walks. A linear mixed model assessed changes in outcome measures between the baseline, ramping (8 weeks), maintenance (11 weeks) and follow-up (two months) phases for Intervention versus Comparison groups., Results: A significant 2 (group) × 2 (program phases) interaction was found for self-reported occupational sitting (F[3]=7.97, p=0.046), daily step counts (F[3]=15.68, p=0.0013) and waist circumference (F[3]=11.67, p=0.0086). The Intervention group decreased minutes of daily occupational sitting while also increasing step counts from baseline (446±126; 8,862±2,475) through ramping (+425±120; 9,345±2,435), maintenance (+422±123; 9,638±3,131) and follow-up (+414±129; 9,786±3,205). In the Comparison group, compared to baseline (404±106), sitting time remained unchanged through ramping and maintenance, but decreased at follow-up (-388±120), while step counts diminished across all phases. The Intervention group significantly reduced waist circumference by 2.1cms from baseline to follow-up while the Comparison group reduced waist circumference by 1.3cms over the same period., Conclusions: W@WS is a feasible and effective evidence-based intervention that can be successfully deployed with sedentary employees to elicit sustained changes on "sitting less and moving more".

Background: Little is known about how sitting time, alone or in combination with markers of physical activity (PA), influences mental well-being and work productivity. Given the need to develop workplace PA interventions that target employees' health related efficiency outcomes; this study examined the associations between self-reported sitting time, PA, mental well-being and work productivity in office employees., Methods: Descriptive cross-sectional study. Spanish university office employees (n = 557) completed a survey measuring socio-demographics, total and domain specific (work and travel) self-reported sitting time, PA (International Physical Activity Questionnaire short version), mental well-being (Warwick-Edinburg Mental Well-Being Scale) and work productivity (Work Limitations Questionnaire). Multivariate linear regression analyses determined associations between the main variables adjusted for gender, age, body mass index and occupation. PA levels (low, moderate and high) were introduced into the model to examine interactive associations., Results: Higher volumes of PA were related to higher mental well-being, work productivity and spending less time sitting at work, throughout the working day and travelling during the week, including the weekends (p < 0.05). Greater levels of sitting during weekends was associated with lower mental well-being (p < 0.05). Similarly, more sitting while travelling at weekends was linked to lower work productivity (p < 0.05). In highly active employees, higher sitting times on work days and occupational sitting were associated with decreased mental well-being (p < 0.05). Higher sitting times while travelling on weekend days was also linked to lower work productivity in the highly active (p < 0.05). No significant associations were observed in low active employees., Conclusions: Employees' PA levels exerts different influences on the associations between sitting time, mental well-being and work productivity. The specific associations and the broad sweep of evidence in the current study suggest that workplace PA strategies to improve the mental well-being and productivity of all employees should focus on reducing sitting time alongside efforts to increase PA.

Background: Little is known about the types of 'sit less, move more' strategies that appeal to office employees, or what factors influence their use. This study assessed the uptake of strategies in Spanish university office employees engaged in an intervention, and those factors that enabled or limited strategy uptake., Methods: The study used a mixed method design. Semi-structured interviews were conducted with academics and administrators (n = 12; 44 ± 12 mean SD age; 6 women) at three points across the five-month intervention, and data used to identify factors that influenced the uptake of strategies. Employees who finished the intervention then completed a survey rating (n = 88; 42 ± 8 mean SD age; 51 women) the extent to which strategies were used [never (1) to usually (4)]; additional survey items (generated from interviewee data) rated the impact of factors that enabled or limited strategy uptake [no influence (1) to very strong influence (4)]. Survey score distributions and averages were calculated and findings triangulated with interview data., Results: Relative to baseline, 67% of the sample increased step counts post intervention (n = 59); 60% decreased occupational sitting (n = 53). 'Active work tasks' and 'increases in walking intensity' were the strategies most frequently used by employees (89% and 94% sometimes or usually utilised these strategies); 'walk-talk meetings' and 'lunchtime walking groups' were the least used (80% and 96% hardly ever or never utilised these strategies). 'Sitting time and step count logging' was the most important enabler of behaviour change (mean survey score of 3.1 ± 0.8); interviewees highlighted the motivational value of being able to view logged data through visual graphics in a dedicated website, and gain feedback on progress against set goals. 'Screen based work' (mean survey score of 3.2 ± 0.8) was the most significant barrier limiting the uptake of strategies. Inherent time pressures and cultural norms that dictated sedentary work practices limited the adoption of 'walk-talk meetings' and 'lunch time walking groups'., Conclusions: The findings provide practical insights into which strategies and influences practitioners need to target to maximise the impact of 'sit less, move more' occupational intervention strategies.

Background: Prolonged occupational sitting is related to poor health outcomes. Detailed data on sitting time at desks are required to understand and effectively influence occupational sitting habits., Methods: Full-time office employees were recruited (n = 105; mean age 40.9 ± 11.5 years; BMI 26.1 ± 3.9, 65% women). Sitting at the desk and in other work contexts was measured using a sitting pad and ActivPAL for an entire working week. Employees used a diary to record work hours. Time spent at work, sitting at work and at the desk; number of sit to stand transitions at the desk; and number of bouts of continuous sitting at the desk < 20 and > 60 minutes, were calculated., Results: Average time spent at work was 8.7 ± 0.8 hours/day with 67% spent sitting at the desk (5.8 ± 1.2 hours/day), and 4% in other workplace settings. On average, employees got up from their desks 3 times/hour (29 ± 13/day). Sitting for more than 60 consecutive minutes occurred infrequently (0.69 ± 0.62 times/day), with most sit to stands (80%; 23 ± 14) occurring before 20 minutes of continual sitting., Conclusion: The findings provide highly detailed insights into desk-based sitting habits, highlighting large proportions of time spent sitting at desks, but with frequent interruptions.

Objective: To objectively measure physical activity (PA) patterns and sedentary time, and explore perceptions of workplace PA opportunities in regional male transport workers., Methods: A multi-method study involving 28 drivers (52.4±9.69 years) working at a bus company in South-East Queensland, Australia. PA was measured using accelerometers (n=23) to determine the proportion of time spent in sedentary (<150 cpm), light (151-2,689 cpm) and moderate+ (≥2,690 cpm) intensity categories. Paired sample t-tests were used to evaluate differences between categories on a workday/off-workday (n=16), and during work/non-work time (n=15). Interviews were conducted with 28 drivers and six managers to explore perceptions and ideas relating to workplace PA opportunities., Results: Sedentary time was significantly higher on off-work (64% of wear time) than work (52%) days (p<0.05), while the opposite was the case for light intensity time (off-workday=33%; workday=44%; p<0.05). On workdays, sedentary time was significantly lower when employees were working (44%) than when not working (60%; p<0.05). No significant differences were found for time spent in moderate+ PA. Driver perceptions indicated that PA opportunities (walking club and corporate gym membership) were being adopted by some drivers. However, at this depot, perceived health issues and organisational barriers (shift work and irregular driving routines), tended to preclude some drivers from engaging with these opportunities., Conclusions: Findings contest the notion that a sedentary occupation such as driving necessitates an inactive work environment., Implications: This research informs ongoing intervention efforts to target inactive drivers who are struggling to take advantage of existing workplace-related PA opportunities., (© 2014 Public Health Association of Australia.)

Background: Rapid developments in technology have encouraged the use of smartphones in physical activity research, although little is known regarding their effectiveness as measurement and intervention tools., Objective: This study systematically reviewed evidence on smartphones and their viability for measuring and influencing physical activity., Data Sources: Research articles were identified in September 2013 by literature searches in Web of Knowledge, PubMed, PsycINFO, EBSCO, and ScienceDirect., Study Selection: The search was restricted using the terms (physical activity OR exercise OR fitness) AND (smartphone* OR mobile phone* OR cell phone*) AND (measurement OR intervention). Reviewed articles were required to be published in international academic peer-reviewed journals, or in full text from international scientific conferences, and focused on measuring physical activity through smartphone processing data and influencing people to be more active through smartphone applications., Study Appraisal and Synthesis Methods: Two reviewers independently performed the selection of articles and examined titles and abstracts to exclude those out of scope. Data on study characteristics, technologies used to objectively measure physical activity, strategies applied to influence activity; and the main study findings were extracted and reported., Results: A total of 26 articles (with the first published in 2007) met inclusion criteria. All studies were conducted in highly economically advantaged countries; 12 articles focused on special populations (e.g. obese patients). Studies measured physical activity using native mobile features, and/or an external device linked to an application. Measurement accuracy ranged from 52 to 100% (n = 10 studies). A total of 17 articles implemented and evaluated an intervention. Smartphone strategies to influence physical activity tended to be ad hoc, rather than theory-based approaches; physical activity profiles, goal setting, real-time feedback, social support networking, and online expert consultation were identified as the most useful strategies to encourage physical activity change. Only five studies assessed physical activity intervention effects; all used step counts as the outcome measure. Four studies (three pre-post and one comparative) reported physical activity increases (12-42 participants, 800-1,104 steps/day, 2 weeks-6 months), and one case-control study reported physical activity maintenance (n = 200 participants; >10,000 steps/day) over 3 months., Limitations: Smartphone use is a relatively new field of study in physical activity research, and consequently the evidence base is emerging., Conclusions: Few studies identified in this review considered the validity of phone-based assessment of physical activity. Those that did report on measurement properties found average-to-excellent levels of accuracy for different behaviors. The range of novel and engaging intervention strategies used by smartphones, and user perceptions on their usefulness and viability, highlights the potential such technology has for physical activity promotion. However, intervention effects reported in the extant literature are modest at best, and future studies need to utilize randomized controlled trial research designs, larger sample sizes, and longer study periods to better explore the physical activity measurement and intervention capabilities of smartphones.

Background: An emerging area of interest in workplace health is presenteeism; the measurable extent to which physical or psychosocial symptoms, conditions and disease adversely affect the work productivity of those who choose to remain at work. Given established links between presenteeism and health, and health and physical activity, presenteeism could be an important outcome in workplace physical activity research. This study provides a narrative review of questionnaires for use in such research., Methods: Eight self-report measures of presenteeism were identified. Information regarding development, constructs measured and psychometric properties was extracted from relevant articles., Results: Questionnaires were largely self-administered, had 4-44 items, and recall periods ranging from 1 week to 1 year. Items were identified as assessing work performance, physical tolerance, psychological well-being and social or role functioning. Samples used to test questionnaires were predominantly American male employees, with an age range of 30-59 years. All instruments had undergone psychometric assessment, most commonly discriminant and construct validity., Conclusion: Based on instrument characteristics, the range of conceptual foci covered and acceptable measurement properties, the Health and Work Questionnaire, Work Ability Index, and Work Limitations Questionnaire are suggested as most suitable for further exploring the relationship between physical activity and presenteeism.

Objectives: Men living in regional and remote areas of Australia have higher prevalence of chronic disease and are less likely to meet physical activity (PA) guidelines compared to their major city counterparts. The study aimed to identify the characteristics of men living in a regional area of Australia who are at risk of not meeting PA guidelines and may benefit from workplace strategies to promote PA., Design: Cross-sectional study., Methods: 1722 men from 130 worksites participated in a workplace health-screening program in Ipswich and West Moreton (South East Queensland, Australia) from 2005 to 2011. Self-reported data on demographic characteristics, lifestyle choices, medical history, and PA levels were collected. Univariable and multivariable Poisson loglinear regression were used to estimate relative risks (RR) for not meeting PA guidelines. A post hoc analysis was performed to identify the characteristics of men who were most at risk of not meeting PA guidelines., Results: The univariable model showed that men >40 years had 20% higher risks of not meeting PA guidelines than men <40 years (RR=1.20, CI=1.08-1.33). The multivariable model showed that men <40 years who had completed a trade certificate/diploma had the lowest risk of not meeting PA guidelines. Post hoc analysis showed that men >40 years and not educated beyond high school had the highest risk of not meeting PA guidelines (RR=1.91)., Conclusions: Older and less educated men were most likely not to meet PA guidelines. PA promotion efforts in this region of Australia should target men with these characteristics, through tailored workplace intervention strategies., (Copyright © 2013 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

Background: Occupational sedentary behaviour is an important contributor to overall sedentary risk. There is limited evidence for effective workplace interventions to reduce occupational sedentary time and increase light activity during work hours. The purpose of the study was to determine if participatory workplace interventions could reduce total sedentary time, sustained sedentary time (bouts >30 minutes), increase the frequency of breaks in sedentary time and promote light intensity activity and moderate/vigorous activity (MVPA) during work hours., Methods: A randomised controlled trial (ANZCTR NUMBER: ACTN12612000743864) was conducted using clerical, call centre and data processing workers (n = 62, aged 25-59 years) in 3 large government organisations in Perth, Australia. Three groups developed interventions with a participatory approach: 'Active office' (n = 19), 'Active Workstation' and promotion of incidental office activity; 'Traditional physical activity' (n = 14), pedometer challenge to increase activity between productive work time and 'Office ergonomics' (n = 29), computer workstation design and breaking up computer tasks. Accelerometer (ActiGraph GT3X, 7 days) determined sedentary time, sustained sedentary time, breaks in sedentary time, light intensity activity and MVPA on work days and during work hours were measured before and following a 12 week intervention period., Results: For all participants there was a significant reduction in sedentary time on work days (-1.6%, p = 0.006) and during work hours (-1.7%, p = 0.014) and a significant increase in number of breaks/sedentary hour on work days (0.64, p = 0.005) and during work hours (0.72, p = 0.015); there was a concurrent significant increase in light activity during work hours (1.5%, p = 0.012) and MVPA on work days (0.6%, p = 0.012)., Conclusions: This study explored novel ways to modify work practices to reduce occupational sedentary behaviour. Participatory workplace interventions can reduce sedentary time, increase the frequency of breaks and improve light activity and MVPA of office workers by using a variety of interventions., Trial Registration: Australian New Zealand Clinical Trials Registry ACTN12612000743864.

Background: Prolonged, uninterrupted sitting time is associated with poor health outcomes. As most sitting time occurs at work, accurate, objective measurement of occupational sitting patterns is required to fully understand its effects on employee health., Purpose: The purpose of this study was to examine associations of desk-based sitting patterns with waist circumference (WC) and BMI., Methods: Participants were full-time, office-based employees (N=105; mean age 40.9±11.5 years; BMI 26.1±3.9; 65% women). Sitting patterns (total desk-based sitting time and number of times employees got up from their desk) were assessed for 5 days using an objective measure of desk-based sitting: the sitting pad. WC, height, and weight were measured, and BMI was calculated. Associations of sitting patterns with WC and BMI were tested using logistic regression models. Data were collected and analyzed in 2011-2012., Results: Those with high levels of sitting time at their desk were 2.7 times (95% CI=1.3, 6.3) more likely to have WC ≥94 cm (men) and ≥80 cm (women), and 9.0 times (95% CI=1.9, 41.9) more likely to have BMI ≥30 than those with lower sitting time. There were no associations between the number of times employees got up from sitting at their desk and WC or BMI., Conclusions: High levels of desk-based sitting time were associated with an increased likelihood of negative weight-related health outcomes, whereas frequency of getting up from sitting at the desk was not., (© 2013 American Journal of Preventive Medicine.)

Objective: Employee presenteeism is the extent to which health conditions adversely affect at-work productivity. Given the links between health and activity, this study examined associations between objectively measured physical activity, sedentary behavior, and presenteeism., Methods: Participants were 108 office employees (70% women, mean age 40.7 ± 11.2 years). Activity was measured using ActiGraph GT3X+ accelerometers to determine sedentary (≤150 counts) and light (151 to 1689 counts) activity; presenteeism with the Work Limitations Questionnaire., Results: Fifty-seven percent of time was spent in sedentary behavior and 38% in light activity. The median Work Limitations Questionnaire Index was 4.38; 6% of participants reported at least moderate impairment. Significant associations were reported for time spent in sedentary behavior before/after work (odds ratio [OR] = 2.58; 95% CI: 1.08 to 6.20) and in light activity, overall (OR = 0.43; 95% CI: 0.19 to 0.97) and during workday lunch hours (OR = 0.34; 95% CI: 0.15 to 0.77), and presenteeism., Conclusions: Future studies should seek greater variation in employee levels of activity and presenteeism to confirm these relationships.

Objective: This study assessed the workday step counts of lower active (<10,000 daily steps) university employees using an automated, web-based walking intervention (Walk@Work)., Methods: Academic and administrative staff (n=390; 45.6±10.8years; BMI 27.2±5.5kg/m(2); 290 women) at five campuses (Australia [x2], Canada, Northern Ireland and the United States), were given a pedometer, access to the website program (2010-11) and tasked with increasing workday walking by 1000 daily steps above baseline, every two weeks, over a six week period. Step count changes at four weeks post intervention were evaluated relative to campus and baseline walking., Results: Across the sample, step counts significantly increased from baseline to post-intervention (1477 daily steps; p=0.001). Variations in increases were evident between campuses (largest difference of 870 daily steps; p=0.04) and for baseline activity status. Those least active at baseline (<5000 daily steps; n=125) increased step counts the most (1837 daily steps; p=0.001), whereas those most active (7500-9999 daily steps; n=79) increased the least (929 daily steps; p=0.001)., Conclusions: Walk@Work increased workday walking by 25% in this sample overall. Increases occurred through an automated program, at campuses in different countries, and were most evident for those most in need of intervention., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Objective: To conduct a systematic review to assess recruitment rates in workplace physical activity (PA) intervention studies and describe characteristics of studies with high recruitment rates. Data Source. Electronic and manual searches were conducted., Study Inclusion and Exclusion Criteria: Workplace PA intervention studies that reported the number of employees invited to participate and the number who responded were included., Data Extraction: Studies with recruitment rates of ≥70% were categorized as high with the remaining studies (<70%) used as comparison. Key study characteristics were assessed., Data Synthesis: An approach called positive deviance was used to identify the extent to which study characteristics were unique to high recruitment rate., Results: Seventy-six percent of studies failed to report recruitment rates (n = 30 included for review). Studies with high recruitment rates (n = 8) tended to have longer study duration (mean 1.6 years) and target smaller cohorts of employees (mean n = 199) than comparison studies (3.9 months; n = 1241). For recruitment strategies and intervention components of high studies, involvement of employees was driven by the organization, with PA interventions provided as part of the working day in paid time., Conclusion: These findings suggest a potential to improve recruitment through targeting small cohorts of employees, incorporating PA as a long-term strategy, facilitating organizationally driven employee involvement, and providing PA interventions during paid time.

The workplace is cited as a promising setting for physical activity (PA) promotion, but workplace PA interventions tend not to specifically target men. The aim of this article was to review the literature on workplace PA interventions for men and to identify key issues for future intervention development. Articles targeting PA at the workplace were located through a structured database search. Information on intervention strategies and PA outcomes were extracted. Only 13 studies (10.5%) reviewed focused on men, of which 5 showed significant increases in PA. These studies used generic, multicomponent, health promotion strategies with a variety of timeframes, self-report PA measures, and PA outcomes. The systematic review identified that evidence on the effectiveness of workplace PA interventions for men is equivocal and highlighted methodological concerns. Future research should use reliable and valid measures of PA and interventions that focus specifically on men's needs and PA preferences.

Objective: To test the validity of a sitting pad (SP) to measure desk based sitting time and transitions, against camera derived direct observation; and to compare the data with those from inclinometers in the ActivPAL(3) (AP) and ActiGraph GT3X+ (AG)., Methods: Australian employees (n=13; 9 women; mean age 30 ± 6.5 years) were provided with a SP, AG and AP in 2011. A camera recorded chair based transitions during a prescribed and a free living protocol. Mean sitting time and transitions were calculated for each device and intra-class correlations (ICCs) and mean differences between (a) the SP and the camera and (b) the AP, AG and camera, were compared., Results: During the prescribed protocol, the smallest mean differences compared with the camera were for the SP; sitting time 0.30 ± 0.21 minutes, transitions -0.46 ± 0.78. During free living, both the SP and AP (set to record events greater than 3 seconds) showed excellent levels of agreement with the camera for sitting time (0.999 and 0.990 respectively) and transitions (0.997 and 0.928 respectively). Agreement between the camera and the AG was poor for both sitting time and transitions (0.257 and 0.033 respectively)., Conclusions: The SP is a highly accurate measure of desk based sitting time and transitions and provides novel measurement and intervention opportunities for research into occupational sitting.

The term 'presenteeism' is a relatively new concept in workplace health, and has come to signify being at work despite poor health and performing below par. Presenteeism, which is potentially critical to employers, has been associated with a range of psychosocial outcome measures, such as poor mental health and employee well-being. Physical activity is a potential strategy for reducing presenteeism, and for improving the mental health of employees. This article reviews evidence on the relationships between physical activity and employee well-being and presenteeism in the workplace, and identifies directions for research in an emerging field. Electronic and manual literature searches were used to identify 20 articles that met the inclusion criteria. These included 13 intervention trials (8 randomized controlled trials, 5 comparison trials) and 7 observational studies (3 cohort, 4 cross-sectional). Outcome measures were grouped into 'workplace well-being', 'psychosocial well-being' and 'physical well-being'. Studies measured a wide variety of outcomes, with absenteeism being the most commonly assessed. Evidence indicated a positive association between physical activity and psychosocial health in employees, particularly for quality of life and emotional well-being. However, findings were inconclusive as to the role of physical activity in promoting workplace well-being. Only one study reported on presenteeism, with mixed evidence for outcomes. This article indicates that physical activity and employee psychosocial health are positively related, but there is limited evidence of a relationship between physical activity and presenteeism. A standardized definition of presenteeism and an appropriate evaluation tool are key research priorities if the complex relationships between physical activity and workplace well-being are to be better understood., (© 2011 Adis Data Information BV. All rights reserved.)

Objective: To systematically review the effectiveness of workplace interventions for reducing sitting., Methods: Studies published up to April 2009 were identified by literature searches in multiple databases. Studies were included if they were interventions to increase energy expenditure (increase physical activity or decrease sitting); were conducted in a workplace setting; and specifically measured sitting as a primary or secondary outcome. Two independent reviewers assessed methodological quality of the included studies, and data on study design, sample, measures of sitting, intervention and results were extracted., Results: Six studies met the inclusion criteria (five randomised trials and one pre-post study). The primary aim of all six was to increase physical activity; all had reducing sitting as a secondary aim. All used self-report measures of sitting; one specifically assessed occupational sitting time; the others used measures of general sitting. No studies showed that sitting decreased significantly in the intervention group, compared with a control or comparison group., Conclusion: Currently, there is a dearth of evidence on the effectiveness of workplace interventions for reducing sitting. In light of the growing body of evidence that prolonged sitting is negatively associated with health, this highlights a gap in the scientific literature that needs to be addressed., (Copyright © 2010 Elsevier Inc. All rights reserved.)

Context: Emerging evidence suggests that sedentary behavior (i.e., time spent sitting) may be negatively associated with health. The aim of this study was to systematically review the evidence on associations between occupational sitting and health risks., Evidence Acquisition: Studies were identified in March-April 2009 by literature searches in PubMed, PsycINFO, CENTRAL, CINAHL, EMBASE, and PEDro, with subsequent related-article searches in PubMed and citation searches in Web of Science. Identified studies were categorized by health outcome. Two independent reviewers assessed methodologic quality using a 15-item quality rating list (score range 0-15 points, higher score indicating better quality). Data on study design, study population, measures of occupational sitting, health risks, analyses, and results were extracted., Evidence Synthesis: 43 papers met the inclusion criteria (21% cross-sectional, 14% case-control, 65% prospective); they examined the associations between occupational sitting and BMI (n=12); cancer (n=17); cardiovascular disease (CVD, n=8); diabetes mellitus (DM, n=4); and mortality (n=6). The median study-quality score was 12 points. Half the cross-sectional studies showed a positive association between occupational sitting and BMI, but prospective studies failed to confirm a causal relationship. There was some case-control evidence for a positive association between occupational sitting and cancer; however, this was generally not supported by prospective studies. The majority of prospective studies found that occupational sitting was associated with a higher risk of DM and mortality., Conclusions: Limited evidence was found to support a positive relationship between occupational sitting and health risks. The heterogeneity of study designs, measures, and findings makes it difficult to draw definitive conclusions at this time., (Copyright © 2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: This study assessed the environmental characteristics of ten universities, comparing the extent to which physical infra-structures are able to support a route-based walking intervention., Method: Following protocol standardization between and within sites, major pedestrian routes at main suburban campuses in seven countries (Australia, Canada, England, Northern Ireland, Scotland, Spain and the United States) were audited by researchers using an established inventory (March-June 2008). The inventory assessed key characteristics (e.g. size and employee number) and nine specific items (pedestrian facilities, vehicle conflicts, crossings, route-maintenance, walkway width, roadway buffer, universal accessibility, aesthetics and cover), scored on a five-point scale (1=very poor; 5=excellent). Item scores for each route, were combined and weighted, to provide indicators of low (score of 20-39), fair (score of 40-69), or good (score of 70-100) physical infra-structure support., Results: Sites varied in area (range of 7-1000 acres) and employee numbers (range of 700-7500 employees). Audits reported good support for route-based walking at seven sites (overall route score range=72.5+/-13.9-82.2+/-17.4), fair support at two sites (overall route score of 69.1+/-11.7 and 61.7+/-14.6), and low support at one site (overall route score of 22.1+/-7.3)., Conclusions: Study methods highlight a valuable audit process, while findings identify the need to improve aspects of physical infra-structure at sites where the built environment may be less conducive for route-based walking.

Background: Interventions designed to increase workplace physical activity may not automatically reduce high volumes of sitting, a behaviour independently linked to chronic diseases such as obesity and type II diabetes. This study compared the impact two different walking strategies had on step counts and reported sitting times., Methods: Participants were white-collar university employees (n = 179; age 41.3 +/- 10.1 years; 141 women), who volunteered and undertook a standardised ten-week intervention at three sites. Pre-intervention step counts (Yamax SW-200) and self-reported sitting times were measured over five consecutive workdays. Using pre-intervention step counts, employees at each site were randomly allocated to a control group (n = 60; maintain normal behaviour), a route-based walking group (n = 60; at least 10 minutes sustained walking each workday) or an incidental walking group (n = 59; walking in workday tasks). Workday step counts and reported sitting times were re-assessed at the beginning, mid- and endpoint of intervention and group mean+/- SD steps/day and reported sitting times for pre-intervention and intervention measurement points compared using a mixed factorial ANOVA; paired sample-t-tests were used for follow-up, simple effect analyses., Results: A significant interactive effect (F = 3.5; p < 0.003) was found between group and step counts. Daily steps for controls decreased over the intervention period (-391 steps/day) and increased for route (968 steps/day; t = 3.9, p < 0.000) and incidental (699 steps/day; t = 2.5, p < 0.014) groups. There were no significant changes for reported sitting times, but average values did decrease relative to the control (routes group = 7 minutes/day; incidental group = 15 minutes/day). Reductions were most evident for the incidental group in the first week of intervention, where reported sitting decreased by an average of 21 minutes/day (t = 1.9; p < 0.057)., Conclusion: Compared to controls, both route and incidental walking increased physical activity in white-collar employees. Our data suggests that workplace walking, particularly through incidental movement, also has the potential to decrease employee sitting times, but there is a need for on-going research using concurrent and objective measures of sitting, standing and walking.

Unlabelled: Levels of hypertension, obesity and raised total cholesterol are increasing in Mexico. Mexicans employed within sedentary occupations may be particularly at risk of developing one, or a clustering of these health-related risk factors, due to lack of participation in health enhancing physical activity (HEPA). The purpose of this study is to examine: (a) prevalence rates of hypertension, obesity and raised total cholesterol, and (b) the link between these variables and HEPA, in a sample of North Mexican, office-based employees. Methods include an assessment of systolic/diastolic blood pressure, % body fat, total cholesterol and HEPA (7-day self-report) in 47 men (33 +/- 10 years) and 43 women (28 +/- 7 years) from Monterrey, a large industrial city in the Northeast of Mexico. Values were compared against recognised health-related thresholds to determine prevalence rates of individual health-related risk factors, along with clustering of two or more risk factors. Relationships between variables were analysed using Pearson product moment correlation. The results show Men had a high prevalence of obesity (32%) and raised total cholesterol (44%), while women's rates were lower (7% and 10% respectively). More men (59%) than women (17%) demonstrated a clustering of two or more risk factors. HEPA participation was low in both men (9%) and women (16%). A significant relationship was found between men's HEPA and % body fat (r = -0.31; p < 0.05)., Conclusions: The high levels of inactivity found in both men and women were cause for concern, suggesting the need for innovative intervention approaches, which aim to integrate physical activity into busy working lives.

Contemporary guidelines for young people advocate both a sustained and accumulative approach to moderate-to-vigorous physical activity (MVPA) participation. In order to investigate the behavioural significance of applying these approaches, this study assessed if differences in adolescent MVPA occurred when either a sustained or accumulated criterion was adopted. Using heart rate thresholds indicative of intensity, the physical activity of 25 adolescents was assessed by monitoring heart rate over 3 days. Results indicated that differences in MVPA participation did exist when different approaches were used, in that the majority of adolescents were active with respect to an accumulated criterion yet inactive with respect to a sustained criterion. Such a disparity may be due to accumulative MVPA being more characteristic of young people's natural activity behaviour. Such findings have strong implications for practitioners seeking to counter young people's inactivity, in that the application of an accumulative approach may be more effective at initiating and establishing an habitual activity behaviour than that of a sustained approach.