Does an 'activity-permissive' workplace change office workers' sitting and activity time?

Breaking the Habit? Identifying Discrete Dimensions of Sitting Automaticity and Their Responsiveness to a Sitting-Reduction Intervention

BACKGROUND

Growing evidence suggests that sitting is activated automatically on exposure to associated environments, yet no study has yet sought to identify in what ways sitting may be automatic.

METHOD

This study used data from a 12-month sitting-reduction intervention trial to explore discrete dimensions of sitting automaticity, and how these dimensions may be affected by an intervention. One hundred ninety-four office workers reported sitting automaticity at baseline, and 3 months, 6 months, 9 months and 12 months after receiving one of two sitting-reduction intervention variants.

RESULTS

Principal component analysis extracted two automaticity components, corresponding to a lack of awareness and a lack of control. Scores on both automaticity scales decreased over time post-intervention, indicating that sitting became more mindful, though lack of awareness scores were consistently higher than lack of control scores.

CONCLUSION

Attempts to break office workers' sitting habits should seek to enhance conscious awareness of alternatives to sitting and afford office workers a greater sense of control over whether they sit or stand.

Internal but Not External Building Design Associated With More Occupational Physical Activity

BACKGROUND

Few studies have explored the impact of internal building design features on physical activity. The purpose of this study is to determine building design features associate with physical activity and sedentary behaviors.

METHODS

Full-time workers (n = 114) wore an ActivPal monitor for 4 work days to measure physical activity and sedentary behaviors. Participants completed a 25-item survey about the presence of external, internal, and staircase design features at their worksite. Participants also reported their desk type. General linear models were used to examine relations between the number of features present for each category and physical activity (steps per hour) and sedentary behavior (sitting time per hour).

RESULTS

Internal design scores were positively associated with occupational physical activity. Each single item increase in facilitating internal design features was associated with +64.5 steps/hr (p = .045) at work. Workers who reported having a desk job walked 538 fewer steps/hr (p < .01) and sat 17 min more/hr at work than workers who reported not having a desk.

CONCLUSION

These results suggest that internal design features can promote more movement and less sitting at work. Future studies that examine the longitudinal effect of changing internal design features on occupational physical activity and sedentary behaviors are warranted.

NutriColoring: designing a doodling toolkit to support daily self-reported dietary assessment among office workers

This study was motivated by a desire to help working-age individuals gain a better understanding of their daily nutritional intakes with a new self-reported dietary assessment method because an unhealthy eating behavior increases the risks of developing chronic diseases. In this study, we present the design and evaluation of NutriColoring, a food diary that leverages doodling on sketches to report and reflect on everyday diet in the working context. Through a 2-week field study involving 18 participants, the usefulness of NutriColoring in facilitating dietary assessment was tested by making comparisons with the typical bullet diary method. Our quantitative results showed that NutriColoring provided users with improved dietary assessment experience and intrinsic motivations, with significantly low task frustration and high enjoyment. Because of the freedom and playfulness in reporting intakes at work, the interview findings showed a high acceptance of employing NutriColoring at work. This article is concluded with a set of implications for the design and development of a Doodling toolkit to support healthy eating behaviors among office workers.

Working From Home: Experiences of Home-Working, Health Behavior and Well-Being During the 2020 UK COVID-19 Lockdown

OBJECTIVE

The Spring 2020 UK COVID-19 lockdown required normally office-based workers to modify their work-related practices to work at home. This study explored workers' experiences of adapting to home working, health behaviors and well-being.

METHODS

Twenty-seven home working employees (19 women; aged 23-57 years), from various industry sectors, gave individual semi-structured interviews. Topics focused on home working experiences, routine adaptations, and changes in health behaviors and well-being.

RESULTS

Four themes were extracted: changes to the work interface; adaptations to a new workspace; changes to work-life balance; and adjustments to a new social context. Notably, participants reported greater reliance on computer-based interactions, which they felt discouraged physical activity and increased sitting. Working in a domestic environment reportedly challenged work-home boundaries.

CONCLUSIONS

Work practices can incidentally detrimentally impact health-related behaviors and well-being. Organizations should develop policies and procedures to promote health-conducive home working.

An intervention to promote positive homeworker health and wellbeing through effective home-working practices: a feasibility and acceptability study

BACKGROUND

In the wake of Covid-19, the prevalence of working from home ('home-working') is expected to rise. Yet, working from home can have negative health and wellbeing impacts. Interventions are needed to promote effective ways of working that also protect workers' health and wellbeing. This study explored the feasibility and acceptability of an intervention intended to promote home-working practices that would protect and promote health behaviour and wellbeing.

METHODS

An uncontrolled, single-arm mixed-methods trial design was employed. Forty-two normally-office-based UK workers, working from home between January-February 2021 (during the Covid pandemic), consented to receive the intervention. The intervention: a digital document offering evidence-based recommendations for home-working in ways conducive to health behaviour and wellbeing. Feasibility and acceptability were quantitatively indexed by: expressions of interest within 1 week (target threshold ≥ 35); attrition across the one-week study period (threshold ≤ 20%); and the absence of any apparent detriments in self-reported physical activity, sedentary behaviour, snacking, and work-related wellbeing prior to and one week after receiving the intervention. Qualitative think-aloud data, obtained while participants read through the intervention, and analysed using reflexive thematic analysis, explored acceptability. Semi-structured interviews conducted one week after intervention exposure were content-analysed to identify whether and which behaviour changes were adopted.

RESULTS

Two feasibility criteria were met: 85 expressions of interest indicated satisfactory intervention demand, and no detriments were observed in health behaviours or wellbeing. Forty-two participants (i.e., maximum capacity for the study; 26 females, 16 males, aged 22-63) consented to take part. 31% dropped out over the one-week study period leaving a final sample of 29 (18 females, 11 males, aged 22-63), exceeding identified attrition thresholds. Think-aloud data showed that participants concurred with intervention guidance, but felt it lacked novelty and practicality. Follow-up interviews produced 18 (62%) participant reports of intervention adherence, where nine recommendations reportedly prompted behaviour change in at least one participant.

CONCLUSIONS

Mixed evidence was found for intervention feasibility and acceptability. Whilst the information was deemed relevant and of value, further development is required to increase its novelty. It may also be more fruitful to provide this information via employers, to encourage and emphasise employer endorsement.

A-REST (Activity to Reduce Excessive Sitting Time): A Feasibility Trial to Reduce Prolonged Sitting in Police Staff

The aim of this study was to evaluate the acceptability and feasibility of a theory-derived sedentary workplace intervention for police office staff. Twenty-four staff participated in an 8-week intervention (single arm, pre-post design) incorporating an education session, team competition with quick response (QR) codes, team trophy, weekly leaderboard newsletters, a self-monitoring phone app, and electronic prompt tools. The intervention supported participants to reduce and break up their sitting time with three minutes of incidental movement every 30 min at work. Feasibility and acceptability were assessed using mixed methods via the RE-AIM QuEST and PRECIS-2 frameworks. The intervention was highly pragmatic in terms of eligibility, organisation, adherence, outcome, and analysis. It was slightly less pragmatic on recruitment and setting. Delivery and follow-up were more explanatory. Reach and adoption indicators demonstrated feasibility among police staff, across a range of departments, who were demographically similar to participants in previous office-based multi-component interventions. The intervention was delivered mostly as planned with minor deviations from protocol (implementation fidelity). Participants perceived the intervention components as highly acceptable. Results showed improvements in workplace sitting and standing, as well as small improvements in weight and positive affect. Evaluation of the intervention in a fully powered randomised controlled trial to assess behaviour and health outcomes is recommended.

Systematic Review of the Influence of Physical Work Environment on Office Workers' Physical Activity Behavior

BACKGROUND

Many American workers spend over 7 hours a day at work in primarily sedentary office work. Physical activity is a key aspect of optimizing health and preventing disease; yet, 80% of American adults do not meet the recommended guidelines for physical activity. In this systematic review, the relationship between physical work environment and physical activity among office workers was explored.

METHODS

Of the 321 studies screened, 26 studies met the eligibility criteria and were included for evaluation in this systematic review.

RESULTS

Of the 26 studies, four were cross-sectional studies, 14 were quasi-experimental studies, and eight were randomized control trials. Physical activity during the workday was measured using self-report surveys and electromechanical devices such as accelerometers. Physical work environments examined by the studies included different types of desks (n = 16), office arrangements (n = 5), and building design (n = 5). In nine studies, office environments and building work environments designed to promote activity using active design principles such as stairs and flexible workspaces were associated with increased physical activity. Sit-stand desks reduced overall sitting time, but had a minimal effect on physical activity.

CONCLUSION/APPLICATION TO PRACTICE

Offices and buildings designed for activity had the largest impact on physical activity among office workers. To increase physical activity in office workers, focus should be placed on opportunities to increase incidental movement that can increase physical activity throughout the workday. Occupational health nurses should advocate workspace designs that can increase physical activity in workers.

Contributions of changes in physical activity, sedentary time, diet and body weight to changes in cardiometabolic risk

Background

Increased physical activity (PA), reduced time spent sedentary (SED), healthier diet and reduced body weight may all have a positive impact on cardiometabolic risk. The relative importance of change in each of these variables on cardiometabolic risk, however, is unclear. We therefore sought to investigate the relative contributions of changes in PA, SED, diet and body weight on cardiometabolic risk.

Methods

This is a secondary analysis of data collected from the EuroFIT randomised controlled trial, which was a 12-week group-based lifestyle intervention for overweight middle-aged men delivered by coaches in football club stadia aiming to improve PA, SED, diet, and body weight. PA and SED were assessed by accelerometry, diet using the Dietary Instrument for Nutrition Education (DINE). An overall cardiometabolic risk score was derived from combining z-scores for glucose, HbA1c, insulin, lipids and blood pressure. In total, 707 men (from the overall cohort of 1113) with complete data for these variables at baseline and 12-month follow-up were included in the multivariable linear regression analyses.

Results

In multivariable analyses, change in number of steps (explaining 5.1% of R²) and dietary factors (less alcohol, fatty and sugary food, and more fruit and vegetables) (together explaining 4.5% of R²), but not changes in standing time or SED, were significantly associated with change in body weight. Changes in number of steps (R² = 1.7%), fatty food score (R² = 2.4%), and sugary food score (R² = 0.4%) were significantly associated with change in cardiometabolic risk score in univariable models. However, in multivariable models which included changes in weight as well as changes in steps and dietary variables, change in weight explained a substantially larger proportion of the change in cardiometabolic risk score, explaining 14.1% of R² (out of an overall model R² of 19.0%). When baseline (as well as change) values were also included in the model, 38.8% of R² for change in cardiometabolic risk score was explained overall, with 14.1% of R² still explained by change in weight.

Conclusion

Change in body weight, together with baseline cardiometabolic risk explained most of the change in cardiometabolic risk. Thus, the benefits of increasing physical activity and improving diet on cardiometabolic risk appear to act largely via an effect on changes in body weight.

Trial registration

International Standard Randomised Controlled Trials, ISRCTN-81935608. Registered 06052015. https://www.isrctn.com/ISRCTN81935608?q=&filters=recruitmentCountry:Portugal&sort=&offset=7&totalResults=92&page=1&pageSize=10&searchType=basic-search

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-021-01237-1.

Evaluation of a natural workspace intervention with active design features on movement, interaction and health

BACKGROUND

There is increasing focus on designing workspaces that promote less sitting, more movement and interaction to improve physical and mental health.

OBJECTIVE

This study evaluates a natural intervention of a new workplace with active design features and its relocation to a greener and open space.

METHODS

An ecological model was used to understand how organisations implement change. Pre and post survey data from 221 matched cases of workers and accelerometery data (n = 50) were analysed.

RESULTS

Results show a decrease in occupational sitting (-20.65 mins/workday, p = 0.001) and an increase in workplace walking (+5.61 mins/workday, p = 0.001) using survey data, and accelerometery data (occupational sitting time: -31.0 mins/workday, p = 0.035, standing time: +22.0 mins/workday, p = 0.022, stepping time: +11.0 mins/workday, p = 0.001). Improvements in interaction, musculoskeletal pain and mental health were reported.

CONCLUSIONS

Application of the ecological model shows that the organisation understands how to target the built environment and social/cultural environment but not how to target behaviour change at the individual level.

Effects of Substituting Types of Physical Activity on Body Fat Mass and Work Efficiency among Workers

Low levels of physical activity (PA) not only increase healt h risks but also affect employee productivity. Although daily activity is interdependent with work productivity and personal health, few studies have examined how substituting physical activities would affect health and work efficiency. The present study aimed to investigate how substituting sedentary behaviors (SB) with increased PA and increasing the intensity of low-level activities during waking times affects the body fat mass and work efficiency of employees. Data were collected from 224 Japanese employees. SB, light physical activity (LPA), moderate physical activity (MPA), and vigorous physical activity (VPA) were measured using a tri-axial accelerometer, and body fat mass and work efficiency were also assessed. Analyses of the effects of substituting behaviors were based on the methods used in the isotemporal substitution model. Body fat mass decreased after substituting behaviors for 30 min per day: from SB to VPA (β = −4.800, 95% CI = −7.500; −2.100), from LPA to VPA (β = −4.680, 95% CI = −7.350; −1.980), and from MPA to VPA (β = −4.920, 95% CI = −7.680; −2.190). For work efficiency and physical activities, a higher work efficiency score was observed when substituting SB with LPA (β = 0.120, 95% CI = 0.030; 0.240), and a lower work efficiency score was observed when substituting LPA with VPA (β = −0.660, 95% CI = −1.350; −0.030). These results should help achieve greater results in promoting health and increasing work productivity by properly distributing and practicing daily physical activities during work hours.

Impact of Ergonomics on Cardiometabolic Risk in Office Workers: Transition to Activity-Based Working With Height-Adjustable Desk

OBJECTIVE

Ergonomic office redesigning possibly improves physical activity (PA) and sedentary behavior (SB); however, its impact on cardiometabolic risk has not yet been determined. This study aimed to examine the effect of office relocation on cardiometabolic risk factors.

METHODS

Annual health check-up data of 95 office workers from four offices in Tokyo, Japan, who relocated to an office with activity-based working (ABW) and height-adjustable desk (HAD) and a propensity-score matched control-cohort were analyzed. PA and SB on weekdays were measured only in the relocation group before and 10 months after relocation.

RESULTS

Significant interactions were observed for waist circumference, high-density lipoprotein cholesterol, and glycosylated hemoglobin (HbA1c). HbA1c changes showed a significant negative association with moderate-to-vigorous-intensity PA.

CONCLUSION

An ABW office with HAD improves cardiometabolic risk factors in office workers, possibly through changes in PA and SB.

Workplace cafeteria and other multicomponent interventions to promote healthy eating among adults: A systematic review

The objective of this review is to evaluate evidence for the effectiveness of workplace cafeteria and other supporting multicomponent interventions to promote healthy eating and reductions in health risks among adults. We conducted an electronic search in EMBASE, CINAHL, EconLit, Ovid, Cochrane, Web of Science and PubMed for English-language articles published from 1985 to July 2019. Studies were original articles reporting the results of workplace cafeteria interventions to promote healthy eating and reduction in health risks. Outcomes were classified as changes in fruit and vegetable intake, health risk indicators, dietary intake, and food sales. Interventions were categorized as interventions targeting food quality or quantity, targeting price, targeting food choice at point of purchase, targeting improved supply, targeting client's information, education or motivation and targeting organization policies. Behavioral change conditions used in interventions were identified using the COM-B system of behavioral change. Results were presented in a narrative summary. A total of 55 studies out of 6285 articles were identified for this review. Several studies used multicomponent interventions and the most featured interventions included interventions targeting food quality or quantity, targeting client's information, education or motivation and targeting food choice at point of purchase. There is evidence that workplace cafeteria and other supporting multicomponent interventions resulted in higher intake of fruit and vegetables, improved dietary intake, improved health outcomes and healthy food sales. The findings of this review have the potential to inform future cafeteria-based and other supporting multicomponent workplace health interventions. The review protocol was not registered in a repository.

Concurrent and discriminant validity of ActiGraph waist and wrist cut-points to measure sedentary behaviour, activity level, and posture in office work

Background

Sedentary Behaviour (SB) gets an increasing attention from ergonomics and public health due to its associated detrimental health effects. A large number of studies record SB with ActiGraph counts-per-minute cut-points, but we still lack valid information about what the cut-points tell us about office work. This study therefore analysed the concurrent and discriminant validity of commonly used cut-points to measure SB, activity level, and posture.

Methods

Thirty office workers completed four office tasks at three workplaces (conventional chair, activity-promoting chair, and standing desk) while wearing two ActiGraphs (waist and wrist). Indirect calorimetry and prescribed posture served as reference criteria. Generalized Estimation Equations analysed workplace and task effects on the activity level and counts-per-minute, and kappa statistics and ROC curves analysed the cut-point validity.

Results

The activity-promoting chair (p < 0.001, ES ≥ 0.66) but not the standing desk (p = 1.0) increased the activity level, and both these workplaces increased the waist (p ≤ 0.003, ES ≥ 0.63) but not the wrist counts-per-minute (p = 0.74) compared to the conventional chair. The concurrent and discriminant validity was higher for activity level (kappa: 0.52–0.56 and 0.38–0.45, respectively) than for SB and posture (kappa ≤0.35 and ≤ 0.19, respectively). Furthermore, the discriminant validity for activity level was higher for task effects (kappa: 0.42–0.48) than for workplace effects (0.13–0.24).

Conclusions

ActiGraph counts-per-minute for waist and wrist placement were – independently of the chosen cut-point – a measure for activity level and not for SB or posture, and the cut-points performed better to detect task effects than workplace effects. Waist cut-points were most valid to measure the activity level in conventional seated office work, but they showed severe limitations for sit-stand desks. None of the placements was valid to detect the increased activity on the activity-promoting chair. Caution should therefore be paid when analysing the effect of workplace interventions on activity level with ActiGraph waist and wrist cut-points.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-10387-7.

Does Active Design Influence Activity, Sitting, Wellbeing and Productivity in the Workplace? A Systematic Review

Active design is an emerging concept to incorporate physical activity into daily life through thoughtful design, and is often implemented in new building designs. It is, however, not known what evidence base there is to support the claims. Through this systematic review, the current evidence for active design was investigated. Seven databases were searched. A range of search terms relating to active design, physical activity, sitting, performance and wellbeing were used. After title and abstract screening of 1174 papers and full-text screening, 17 were selected for inclusion. The papers provided promising evidence of active design aiding a reduction in sitting and increase in standing time. Limited evidence was found for physical activity; a few studies reported an increase in step counts. Musculoskeletal effects were investigated in few studies, but there is some evidence of benefits to lower back pain. There was consistent evidence for better light and air quality, but no evidence for other features of the workplace environment. No conclusive evidence was found on associations between active design features and work performance. There is hence some evidence to support the benefit of active design on physical health; however, the dearth and heterogeneity of the study designs, measures and findings warrant further research.

Workplace Sedentary Behavior and Productivity: A Cross-Sectional Study

Reducing sedentary behavior in the workplace has become an important public health priority; however, some employers have expressed concerns regarding the potential for reduced productivity if employees are not seated while at work. Therefore, the aim of this study was to determine the relationship between workplace sedentary behavior (sitting time) and work productivity among full-time office-based employees, and further to investigate other potential factors associated with productivity. A 19-item online self-report survey was completed by 2068 government employees in Kansas. The survey assessed workplace sedentary behavior, work productivity, job satisfaction, and fatigue. Overall, office workers reported high levels of sedentary time (mean > 78%). The primary results indicated that sitting time was not significantly associated with productivity (β = 0.013, p = 0.519), but job satisfaction and fatigue were positively (β = 0.473, p < 0.001) and negatively (β = −0.047, p = 0.023) associated with productivity, respectively. Furthermore, participants with the highest level of sitting time (>91% of the time) reported lower job satisfaction and greater fatigue as compared with the lowest level of sitting time (<75% of the time). Taken together, these results offer promising support that less sitting time is associated with positive outcomes that do not seem to come at the expense of productivity.

Supporting Workers to Sit Less and Move More Through the Web-Based BeUpstanding Program: Protocol for a Single-Arm, Repeated Measures Implementation Study

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.

Effectiveness of the multi-component dynamic work intervention to reduce sitting time in office workers - Results from a pragmatic cluster randomised controlled trial

OBJECTIVE

Prolonged sitting, which is highly prevalent in office workers, has been associated with several health risks. The aim of this study was to evaluate the Dynamic Work intervention by determining its effect on total sitting time at the 8-month follow-up in comparison to the control.

METHODS

This two-arm pragmatic cluster randomised controlled trial included 244 office workers from 14 different departments of a large, Dutch insurance company. The Dynamic Work intervention was a real-life, worksite intervention that included environmental components (i.e. sit-stand workstations), organisational components (i.e. group sessions), and individual components (e.g. activity/sitting trackers). Outcomes were assessed at baseline, 4-month follow-up, and 8-month follow-up. The primary outcome was total sitting time per day, objectively assessed using the activPAL activity monitor at 8-month follow-up. Secondary outcomes included other total and occupational movement behaviour outcomes, health-related outcomes, and work-related outcomes. Data analyses were performed using linear and logistic mixed models.

RESULTS

Total sitting time did not differ between the intervention and control group at the 8-month follow-up. Secondary outcomes also showed no difference between the intervention and control group at either the 4-month or at 8-month follow-up, with the exception of number of occupational steps, which showed a statistically significant effect at 4-month follow-up (but not at 8-month follow-up) of 913 (95% CI = 381-1445) steps/8-h working day.

CONCLUSIONS

This study evaluated the effectiveness of a real-life worksite intervention to reduce sitting time and showed little to no effect. This may be due to the relatively low intensity of the intervention, i.e. that it only involved the replacement of 25% of sitting workstations with sit-stand workstations. Future research should focus on the evaluation of more intensive real-life worksite interventions that are still feasible for implementation in daily practice. CLINICALTRIALS.

GOV, REGISTRATION NUMBER

NCT03115645.

Drivers of healthy eating in a workplace in Nepal: a qualitative study

OBJECTIVE

To explore the perceptions, enablers and barriers to employees' healthy eating in a hospital site.

DESIGN

A qualitative study including focus group discussion and in-depth interview, data were analysed using thematic analysis method.

SETTING

The study was carried out among employees of Dhulikhel Hospital-Kathmandu University Hospital, located about 30 km east of Nepal's capital Kathmandu.

PARTICIPANTS

Focus group discussions were conducted among the 33 participants, who were divided into four groups: (a) support staff (drivers, cook, laundry, gardeners and ward boys), (b) hospital administrators and managers, (c) health personnel (doctors, nurses and assistants) who work 8-12 hours shifts and (d) health personnel who work during office hours. Nine in-depth interviews were conducted among six canteen operators and three managers.

RESULTS

The major factors for promoting healthy eating were identified as the availability of affordable healthy food options in the cafeterias, a commitment to such promotion by the cafeteria manager, operators, staff and hospital administration and the level of education of the employees. The most commonly reported barriers for healthy eating were the unavailability of healthy options, including the lack of food supply from local market, the higher cost of healthy foods, individual food preferences and limited human resources in the cafeteria.

CONCLUSION

The availability of affordable healthy foods, supply of healthy foods from the market, commitment from cafeteria managers, hospital administrators and health awareness among cafeteria operators may promote healthy eating among employees in a Nepali hospital setting.

Office-based physical activity: mapping a social ecological model approach against COM-B

BACKGROUND

There are growing concerns over the health impacts of occupational sedentary behaviour on office-based workers and increasing workplace recognition of the need to increase physical activity at work. Social ecological models provide a holistic framework for increasing opportunities for physical activity at work. In this paper we propose a social ecological model of office-based physical activity and map it against the Capability Motivation Opportunity (COM-B) framework to highlight the mechanisms of behaviour change that can increase levels of physical activity of office-based workers.

DISCUSSION

The paper proposes a social ecological model of physical activity associated with office-based settings. The model considers opportunities for both incidental and discretionary activities, as well as macro and micro factors on both socio-cultural and physical dimensions. The COM-B framework for characterising behaviour change interventions is used to highlight the underlying mechanisms of behaviour change inherent in the model. The broad framework provided by social ecological models is important for understanding physical activity in office-based settings because of the non-discretionary nature of sedentary behaviour of office-based work. It is important for interventions not to rely on individual motivation for behaviour change alone but to incorporate changes to the broader social ecological and physical context to build capability and create opportunities for more sustainable change.

Impact of Activity-Based Working and Height-Adjustable Desks on Physical Activity, Sedentary Behavior, and Space Utilization among Office Workers: A Natural Experiment

It has been reported that office environment is an important determinant of physical activity (PA) and sedentary behavior (SB) in office workers. However, the effect of changes in office environment (office renovation) is unclear. The purpose of this study was to examine PA, SB, and space utilization changes among office workers in response to office renovation. This study was a natural experiment at three offices of a single company in Tokyo, Japan. The participants were, 13 workers from one office in the renovation group (mean age: 37.9 ± 10.8 years, percentage of females: 23.1%) and 29 from two offices in the control group (mean age: 42.3 ± 11.2 years, percentage of females: 31.0%). In the renovation, introduction of activity-based working (ABW) and installation of height-adjustable desks (HAD) were adopted. The ABW office was designed to provide various shared workstations, enabling the workers to choose workstations depending on their task or mood. Accelerometer measurement and object detection method using artificial intelligence (AI) technology for video images were used to assess behavior and space utilization before and after the renovation. Two weeks after the renovation, significant improvements in SB (pre- to post-renovation improvements: 346.8 ± 28.6 to 321.2 ± 17.8 min/working-hours) and PA (total PA: 173.2 ± 28.6 to 198.8 ± 17.8 min/working-hours; and light-intensity PA: 130.4 ± 27.1 to 150.7 ± 31.0 min/working-hours) were observed. In addition, the results of the object detection analysis showed that the central aisle of the office and shared HAD workstations near the entrance or window were utilized more frequently than the other spaces. This study suggested that office renovation could improve SB and PA immediately after the renovation. Moreover, utilized spaces and HAD workstations could play an important role to enhance employees’ activity in an ABW office.

Is sitting invisible? Exploring how people mentally represent sitting

Background

Growing evidence suggests that prolonged uninterrupted sitting can be detrimental to health. Much sedentary behaviour research is reliant on self-reports of sitting time, and sitting-reduction interventions often focus on reducing motivation to sit. These approaches assume that people are consciously aware of their sitting time. Drawing on Action Identification Theory, this paper argues that people rarely identify the act of sitting as ‘sitting’ per se, and instead view it as an incidental component of more meaningful and purposeful typically-seated activities.

Methods

Studies 1 and 2 explored whether people mentioned sitting in written descriptions of actions. Studies 3–5 compared preferences for labelling a typically desk-based activity as ‘sitting’ versus alternative action identities. Studies 6 and 7 used card-sort tasks to indirectly assess the prioritisation of ‘sitting’ relative to other action descriptions when identifying similar actions.

Results

Participants rarely spontaneously mentioned sitting when describing actions (Studies 1–2), and when assigning action labels to a seated activity, tended to offer descriptions based on higher-order goals and consequences of action, rather than sitting or other procedural elements (Studies 3–5). Participants primarily identified similarities in actions based not on sitting, but on activities performed while seated (e.g. reading; Studies 6–7).

Conclusion

‘Sitting’ is a less accessible cognitive representation of seated activities than are representations based on the purpose and implications of seated action. Findings suggest that self-report measures should focus on time spent in seated activities, rather than attempting to measure sitting time via direct recall. From an intervention perspective, findings speak to the importance of targeting behaviours that entail sitting, and of raising awareness of sitting as a potential precursor to attempting to reduce sitting time.

Smart Software Can Increase Sit-Stand Desk Transitions During Active Computer Use

The objective use of table top adjustable sit-stand desks has yet to be determined, due to the lack of an effective digital evaluation method. The objective of this study was to evaluate the impact of computer prompt software on table top sit-stand desks to determine if there was a difference in the frequency of desk position changes. This five month, pre-post pilot study on 47 university staff members used a novel USB accelerometer sensor and computer software reminders to continuously record and prompt increases in desk usage to promote physical activity at the workstation. During the baseline phase (3 months), desk usage data were continuously recorded for all workers. Following the baseline, the results from a two-month intervention of personalized computer reminders doubled the number of desk position changes per work day from 1 desk position change every 2 work days to 1 change every work day. Furthermore, those who changed desk positions once or twice a day increased from 4% to 36% from baseline to intervention. Overall, the intervention was encouraging, but longer intervention studies are warranted to determine if the desk usage behavior change can be improved and sustained for years and whether that change results in health gains.

Consistency of Sedentary Behavior Patterns among Office Workers with Long-Term Access to Sit-Stand Workstations

INTRODUCTION

Sit-stand workstations are a popular intervention to reduce sedentary behavior (SB) in office settings. However, the extent and distribution of SB in office workers long-term accustomed to using sit-stand workstations as a natural part of their work environment are largely unknown. In the present study, we aimed to describe patterns of SB in office workers with long-term access to sit-stand workstations and to determine the extent to which these patterns vary between days and workers.

METHODS

SB was objectively monitored using thigh-worn accelerometers for a full week in 24 office workers who had been equipped with a sit-stand workstation for at least 10 months. A comprehensive set of variables describing SB was calculated for each workday and worker, and distributions of these variables between days and workers were examined.

RESULTS

On average, workers spent 68% work time sitting [standard deviation (SD) between workers and between days (within worker): 10.4 and 18.2%]; workers changed from sitting to standing/walking 3.2 times per hour (SDs 0.6 and 1.2 h-1); with bouts of sitting being 14.9 min long (SDs 4.2 and 8.5 min). About one-third of the workers spent >75% of their workday sitting. Between-workers variability was significantly different from zero only for percent work time sitting, while between-days (within-worker) variability was substantial for all SB variables.

CONCLUSIONS

Office workers accustomed to using sit-stand workstations showed homogeneous patterns of SB when averaged across several days, except for percent work time seated. However, SB differed substantially between days for any individual worker. The finding that many workers were extensively sedentary suggests that just access to sit-stand workstations may not be a sufficient remedy against SB; additional personalized interventions reinforcing use may be needed. To this end, differences in SB between days should be acknowledged as a potentially valuable source of variation.

Device-measured physical activity, sedentary behaviour and cardiometabolic health and fitness across occupational groups: a systematic review and meta-analysis

BACKGROUND

With approximately 8 hours of one's waking day spent at work, occupational tasks and environments are important influencers on an individual's physical activity (PA) and sedentary behaviours. Little research has compared device-measured physical activity, sedentary behaviour and cardiometabolic outcomes between occupational groups.

OBJECTIVE

To compare device-measured movement (sedentary time [ST], light intensity physical activity [LPA], moderate-to-vigorous intensity physical activity [MVPA], and steps) across occupations. The secondary objective was to examine whether cardiometabolic and fitness outcomes differed by occupation.

METHODS

Five bibliographic databases were searched to identify all studies which included working age, employed adults from high-income countries, and reported on device-measured movement within occupations. Risk of bias within and across studies was assessed. Results were synthesized using meta-analyses and narrative syntheses.

RESULTS

The review includes 132 unique studies with data from 15,619 participants. Working adults spent ~ 60% of their working and waking time engaged in sedentary behaviour; a very small proportion (~ 4%) of the day included MVPA. On average, workers accumulated 8124 steps/day. Office and call center workers' steps/day were among the lowest, while those of postal delivery workers were highest. Office workers had the greatest ST and the lowest time in LPA both at work and during wakeful time. However, office workers had the greatest minutes sent in MVPA during wakeful hours. Laborers had the lowest ST and spent a significantly greater proportion of their work time in LPA and MVPA. Healthcare and protective services workers had higher levels of LPA at work compared to other occupations. Workers in driving-based occupations tended to have a higher body mass index and blood pressure.

CONCLUSION

This review identifies that occupational and wakeful time PA and ST differed between occupations. Future studies are needed to assess whether patterns differ by age and sex, describe leisure-time movement and movement patterns, and the relationship with cardiometabolic health.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42017070448 .

The effects of sedentary behaviour interventions on work-related productivity and performance outcomes in real and simulated office work: A systematic review

This review examined the impact of environmental, behavioral, and combined interventions to reduce occupational sedentary behaviour on work performance and productivity outcomes. Productivity outcomes were defined as variables assessing work-related tasks (e.g., typing, mouse), whereas performance outcomes were categorized as any variables assessing cognition that did not mimic work-related tasks. Nine databases were searched for articles published up to January 2018. Sixty-three studies were identified that met the inclusion criteria: 45 examined a productivity outcome (i.e., typing, mouse, work-related tasks, and absenteeism), 38 examined a performance outcome (i.e., memory, reading comprehension, mathematics, executive function, creativity, psychomotor function, and psychobiological factors), and 30 examined a self-reported productivity/performance outcome (i.e., presenteeism or other self-reported outcome). Overall, standing interventions do not appear to impact productivity/performance outcomes, whereas walking and cycling interventions demonstrate mixed null/negative associations for productivity outcomes. Hence, standing interventions to reduce occupational sedentary behaviour could be implemented without negatively impacting productivity/performance outcomes.

Workplace interventions for reducing sitting at work

BACKGROUND

A large number of people are employed in sedentary occupations. Physical inactivity and excessive sitting at workplaces have been linked to increased risk of cardiovascular disease, obesity, and all-cause mortality.

OBJECTIVES

To evaluate the effectiveness of workplace interventions to reduce sitting at work compared to no intervention or alternative interventions.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, OSH UPDATE, PsycINFO, ClinicalTrials.gov, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal up to 9 August 2017. We also screened reference lists of articles and contacted authors to find more studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), cross-over RCTs, cluster-randomised controlled trials (cluster-RCTs), and quasi-RCTs of interventions to reduce sitting at work. For changes of workplace arrangements, we also included controlled before-and-after studies. The primary outcome was time spent sitting at work per day, either self-reported or measured using devices such as an accelerometer-inclinometer and duration and number of sitting bouts lasting 30 minutes or more. We considered energy expenditure, total time spent sitting (including sitting at and outside work), time spent standing at work, work productivity and adverse events as secondary outcomes.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened titles, abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required.

MAIN RESULTS

We found 34 studies - including two cross-over RCTs, 17 RCTs, seven cluster-RCTs, and eight controlled before-and-after studies - with a total of 3,397 participants, all from high-income countries. The studies evaluated physical workplace changes (16 studies), workplace policy changes (four studies), information and counselling (11 studies), and multi-component interventions (four studies). One study included both physical workplace changes and information and counselling components. We did not find any studies that specifically investigated the effects of standing meetings or walking meetings on sitting time.Physical workplace changesInterventions using sit-stand desks, either alone or in combination with information and counselling, reduced sitting time at work on average by 100 minutes per workday at short-term follow-up (up to three months) compared to sit-desks (95% confidence interval (CI) -116 to -84, 10 studies, low-quality evidence). The pooled effect of two studies showed sit-stand desks reduced sitting time at medium-term follow-up (3 to 12 months) by an average of 57 minutes per day (95% CI -99 to -15) compared to sit-desks. Total sitting time (including sitting at and outside work) also decreased with sit-stand desks compared to sit-desks (mean difference (MD) -82 minutes/day, 95% CI -124 to -39, two studies) as did the duration of sitting bouts lasting 30 minutes or more (MD -53 minutes/day, 95% CI -79 to -26, two studies, very low-quality evidence).We found no significant difference between the effects of standing desks and sit-stand desks on reducing sitting at work. Active workstations, such as treadmill desks or cycling desks, had unclear or inconsistent effects on sitting time.Workplace policy changesWe found no significant effects for implementing walking strategies on workplace sitting time at short-term (MD -15 minutes per day, 95% CI -50 to 19, low-quality evidence, one study) and medium-term (MD -17 minutes/day, 95% CI -61 to 28, one study) follow-up. Short breaks (one to two minutes every half hour) reduced time spent sitting at work on average by 40 minutes per day (95% CI -66 to -15, one study, low-quality evidence) compared to long breaks (two 15-minute breaks per workday) at short-term follow-up.Information and counsellingProviding information, feedback, counselling, or all of these resulted in no significant change in time spent sitting at work at short-term follow-up (MD -19 minutes per day, 95% CI -57 to 19, two studies, low-quality evidence). However, the reduction was significant at medium-term follow-up (MD -28 minutes per day, 95% CI -51 to -5, two studies, low-quality evidence).Computer prompts combined with information resulted in no significant change in sitting time at work at short-term follow-up (MD -14 minutes per day, 95% CI -39 to 10, three studies, low-quality evidence), but at medium-term follow-up they produced a significant reduction (MD -55 minutes per day, 95% CI -96 to -14, one study). Furthermore, computer prompting resulted in a significant decrease in the average number (MD -1.1, 95% CI -1.9 to -0.3, one study) and duration (MD -74 minutes per day, 95% CI -124 to -24, one study) of sitting bouts lasting 30 minutes or more.Computer prompts with instruction to stand reduced sitting at work on average by 14 minutes per day (95% CI 10 to 19, one study) more than computer prompts with instruction to walk at least 100 steps at short-term follow-up.We found no significant reduction in workplace sitting time at medium-term follow-up following mindfulness training (MD -23 minutes per day, 95% CI -63 to 17, one study, low-quality evidence). Similarly a single study reported no change in sitting time at work following provision of highly personalised or contextualised information and less personalised or contextualised information. One study found no significant effects of activity trackers on sitting time at work.Multi-component interventions Combining multiple interventions had significant but heterogeneous effects on sitting time at work (573 participants, three studies, very low-quality evidence) and on time spent in prolonged sitting bouts (two studies, very low-quality evidence) at short-term follow-up.

AUTHORS' CONCLUSIONS

At present there is low-quality evidence that the use of sit-stand desks reduce workplace sitting at short-term and medium-term follow-ups. However, there is no evidence on their effects on sitting over longer follow-up periods. Effects of other types of interventions, including workplace policy changes, provision of information and counselling, and multi-component interventions, are mostly inconsistent. The quality of evidence is low to very low for most interventions, mainly because of limitations in study protocols and small sample sizes. There is a need for larger cluster-RCTs with longer-term follow-ups to determine the effectiveness of different types of interventions to reduce sitting time at work.

An Integrative, Systematic Review Exploring the Research, Effectiveness, Adoption, Implementation, and Maintenance of Interventions to Reduce Sedentary Behaviour in Office Workers

Sedentary behaviour is associated with poor health outcomes, and office-based workers are at significant health risk, as they accumulate large proportions of their overall sitting time at work. The aim of this integrated systematic review was to collate and synthesize published research on sedentary behaviour interventions in the workplace that have reported on at least one an aspect of the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework. Studies were included if they involved adult office workers, were conducted in an office setting, and changes in sedentary behaviour had been measured as a primary outcome. Five electronic databases were searched yielding 7234 articles, with 75 articles (61 individual interventions) meeting the inclusion criteria. Reach indicators were the most frequently reported RE-AIM dimensions, which were reported on average 59% of the time. Efficacy/effectiveness was the second most reported dimension at 49% reporting across all of the indicators. Implementation indicators were reported an average of 44% of the time, with indicators of adoption and maintenance reported as the lowest of all indicators at 13% and 8%, respectively. Recommendations are provided to improve reporting across all RE-AIM dimensions, which is an important first step to enable the effective translation of interventions into real world settings.

Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry

Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an objective method to measure SB consistent with its definition. We have therefore developed a new measurement system based on muscular activity and accelerometry. The primary aim of the present study was to calibrate the new-developed 8-CH-EMG+ for measuring occupational SB against an indirect calorimeter during typical desk-based office work activities. In total, 25 volunteers performed nine office tasks at three typical workplaces. Minute-by-minute posture and activity classification was performed using subsequent decision trees developed with artificial intelligence data processing techniques. The 8-CH-EMG+ successfully identified all sitting episodes (AUC = 1.0). Furthermore, depending on the number of electromyography channels included, the device has a sensitivity of 83–98% and 74–98% to detect SB and active sitting (AUC = 0.85–0.91). The 8-CH-EMG+ advances the field of objective SB measurements by combining accelerometry with muscular activity. Future field studies should consider the use of EMG sensors to record SB in line with its definition.

Determination of a sagittal plane axis of rotation for a dynamic office chair

OBJECTIVE

This study investigated the location of the axis of rotation in sagittal plane movement of the spine in a free sitting condition to adjust the kinematics of a mobile seat for a dynamic chair.

BACKGROUND

Dynamic office chairs are designed to avoid continuous isometric muscle activity, and to facilitate increased mobility of the back during sitting. However, these chairs incorporate increased upper body movement which could distract office workers from the performance of their tasks. A chair with an axis of rotation above the seat would facilitate a stable upper back during movements of the lower back. The selection of a natural kinematic pattern is of high importance in order to match the properties of the spine.

METHOD

Twenty-one participants performed four cycles of flexion and extension of the spine during an upper arm hang on parallel bars. The location of the axis of rotation relative to the seat was estimated using infrared cameras and reflective skin markers.

RESULTS

The median axis of rotation across all participants was located 36 cm above the seat for the complete movement and 39 cm for both the flexion and extension phases, each with an interquartile range of 20 cm.

CONCLUSION

There was no significant effect of the movement direction on the location of the axis of rotation and only a weak, non-significant correlation between body height and the location of the axis of rotation. Individual movement patterns explained the majority of the variance.

APPLICATION

The axis of rotation for a spinal flexion/extension movement is located above the seat. The recommended radius for a guide rail of a mobile seat is between 36 cm and 39 cm.

Assessing the Feasibility and Pre-Post Impact Evaluation of the Beta (Test) Version of the BeUpstanding Champion Toolkit in Reducing Workplace Sitting: Pilot Study

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.

ECG-Based Concentration Recognition With Multi-Task Regression

OBJECTIVE

Recognition of human activities and mental states using wearable sensors and smartphones has attracted considerable attention recently. In particular, prediction of the stress level of a subject using an electrocardiogram sensor has been studied extensively. In this paper, we attempt to predict the degree of concentration by using heart-rate features. However, due to strong diversity in individuals and high sampling costs, building an accurate prediction model is still highly challenging.

METHOD

To overcome these difficulties, we propose to use a multitask learning (MTL) technique for effectively sharing information among similar individuals.

RESULT

Through experiments with 18 healthy subjects performing daily office works, such as writing reports, we demonstrate that the proposed method significantly improves the accuracy of concentration prediction in small sample situations.

CONCLUSION

The performance of the MTL method is shown to be stable across different subjects, which is an important advantage over conventional models.

SIGNIFICANCE

This improvement has significant impact in real-world concentration recognition because the data collection burden of each user can be drastically mitigated.

The development, implementation and evaluation of interventions to reduce workplace sitting: a qualitative systematic review and evidence-based operational framework

BACKGROUND

Prolonged sitting is associated with increased risks of cardiovascular disease, Type 2 diabetes, some cancers, musculoskeletal disorders and premature mortality. Workplaces contribute to a large proportion of daily sitting time, particularly among office-based workers. Interventions to reduce workplace sitting therefore represent important public health initiatives. Previous systematic reviews suggest such interventions can be effective but have reported wide variations. Further, there is uncertainty as to whether effectiveness in controlled trials can be replicated when implemented outside the research setting. The aims of this review are to identify factors important for the implementation of workplace sitting interventions and to translate these findings into a useful operational framework to support the future implementation of such interventions.

METHODS

A qualitative systematic review was conducted. Four health and social science databases were searched for studies set in the workplace, with office-based employees and with the primary aim of reducing workplace sitting. Extracted data were primarily from author descriptions of interventions and their implementation. Inductive thematic analysis and synthesis was undertaken.

RESULTS

Forty studies met the inclusion criteria. Nine descriptive themes were identified from which emerged three higher-order analytical themes, which related to the development, implementation and evaluation of workplace sitting interventions. Key findings included: the importance of grounding interventions in theory; utilising participative approaches during intervention development and implementation; and conducting comprehensive process and outcome evaluations. There was a general under-reporting of information relating to the context within which workplace sitting interventions were implemented, such as details of local organisation processes and structures, as well as the wider political and economic landscape, which if present would aid the translation of knowledge into "real-world" settings.

CONCLUSIONS

These findings provided the basis for an operational framework, which is a representation of all nine descriptive themes and three higher-order analytical themes, to support workplace sitting intervention development, implementation and evaluation. Once tested and refined, this framework has the potential to be incorporated into a practical toolkit, which could be used by a range of organisations to develop, implement and evaluate their own interventions to reduce workplace sitting time amongst staff.

"Could you sit down please?" A qualitative analysis of employees' experiences of standing in normally-seated workplace meetings

Office workers spend most of their working day sitting, and prolonged sitting has been associated with increased risk of poor health. Standing in meetings has been proposed as a strategy by which to reduce workplace sitting but little is known about the standing experience. This study documented workers' experiences of standing in normally seated meetings. Twenty-five participants (18+ years), recruited from three UK universities, volunteered to stand in 3 separate, seated meetings that they were already scheduled to attend. They were instructed to stand when and for however long they deemed appropriate, and gave semi-structured interviews after each meeting. Verbatim transcripts were analysed using Framework Analysis. Four themes, central to the experience of standing in meetings, were extracted: physical challenges to standing; implications of standing for meeting engagement; standing as norm violation; and standing as appropriation of power. Participants typically experienced some physical discomfort from prolonged standing, apparently due to choosing to stand for as long as possible, and noted practical difficulties of fully engaging in meetings while standing. Many participants experienced marked psychological discomfort due to concern at being seen to be violating a strong perceived sitting norm. While standing when leading the meeting was felt to confer a sense of power and control, when not leading the meeting participants felt uncomfortable at being misperceived to be challenging the authority of other attendees. These findings reveal important barriers to standing in normally-seated meetings, and suggest strategies for acclimatising to standing during meetings. Physical discomfort might be offset by building standing time slowly and incorporating more sit-stand transitions. Psychological discomfort may be lessened by notifying other attendees about intentions to stand. Organisational buy-in to promotional strategies for standing may be required to dispel perceptions of sitting norms, and to progress a wider workplace health and wellbeing agenda.

Workplace interventions for reducing sitting at work

BACKGROUND

A large number of people are employed in sedentary occupations. Physical inactivity and excessive sitting at workplaces have been linked to increased risk of cardiovascular disease, obesity, and all-cause mortality.

OBJECTIVES

To evaluate the effectiveness of workplace interventions to reduce sitting at work compared to no intervention or alternative interventions.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, OSH UPDATE, PsycINFO, ClinicalTrials.gov, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal up to 9 August 2017. We also screened reference lists of articles and contacted authors to find more studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), cross-over RCTs, cluster-randomised controlled trials (cluster-RCTs), and quasi-RCTs of interventions to reduce sitting at work. For changes of workplace arrangements, we also included controlled before-and-after studies. The primary outcome was time spent sitting at work per day, either self-reported or measured using devices such as an accelerometer-inclinometer and duration and number of sitting bouts lasting 30 minutes or more. We considered energy expenditure, total time spent sitting (including sitting at and outside work), time spent standing at work, work productivity and adverse events as secondary outcomes.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened titles, abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required.

MAIN RESULTS

We found 34 studies - including two cross-over RCTs, 17 RCTs, seven cluster-RCTs, and eight controlled before-and-after studies - with a total of 3,397 participants, all from high-income countries. The studies evaluated physical workplace changes (16 studies), workplace policy changes (four studies), information and counselling (11 studies), and multi-component interventions (four studies). One study included both physical workplace changes and information and counselling components. We did not find any studies that specifically investigated the effects of standing meetings or walking meetings on sitting time.Physical workplace changesInterventions using sit-stand desks, either alone or in combination with information and counselling, reduced sitting time at work on average by 100 minutes per workday at short-term follow-up (up to three months) compared to sit-desks (95% confidence interval (CI) -116 to -84, 10 studies, low-quality evidence). The pooled effect of two studies showed sit-stand desks reduced sitting time at medium-term follow-up (3 to 12 months) by an average of 57 minutes per day (95% CI -99 to -15) compared to sit-desks. Total sitting time (including sitting at and outside work) also decreased with sit-stand desks compared to sit-desks (mean difference (MD) -82 minutes/day, 95% CI -124 to -39, two studies) as did the duration of sitting bouts lasting 30 minutes or more (MD -53 minutes/day, 95% CI -79 to -26, two studies, very low-quality evidence).We found no significant difference between the effects of standing desks and sit-stand desks on reducing sitting at work. Active workstations, such as treadmill desks or cycling desks, had unclear or inconsistent effects on sitting time.Workplace policy changesWe found no significant effects for implementing walking strategies on workplace sitting time at short-term (MD -15 minutes per day, 95% CI -50 to 19, low-quality evidence, one study) and medium-term (MD -17 minutes/day, 95% CI -61 to 28, one study) follow-up. Short breaks (one to two minutes every half hour) reduced time spent sitting at work on average by 40 minutes per day (95% CI -66 to -15, one study, low-quality evidence) compared to long breaks (two 15-minute breaks per workday) at short-term follow-up.Information and counsellingProviding information, feedback, counselling, or all of these resulted in no significant change in time spent sitting at work at short-term follow-up (MD -19 minutes per day, 95% CI -57 to 19, two studies, low-quality evidence). However, the reduction was significant at medium-term follow-up (MD -28 minutes per day, 95% CI -51 to -5, two studies, low-quality evidence).Computer prompts combined with information resulted in no significant change in sitting time at work at short-term follow-up (MD -10 minutes per day, 95% CI -45 to 24, two studies, low-quality evidence), but at medium-term follow-up they produced a significant reduction (MD -55 minutes per day, 95% CI -96 to -14, one study). Furthermore, computer prompting resulted in a significant decrease in the average number (MD -1.1, 95% CI -1.9 to -0.3, one study) and duration (MD -74 minutes per day, 95% CI -124 to -24, one study) of sitting bouts lasting 30 minutes or more.Computer prompts with instruction to stand reduced sitting at work on average by 14 minutes per day (95% CI 10 to 19, one study) more than computer prompts with instruction to walk at least 100 steps at short-term follow-up.We found no significant reduction in workplace sitting time at medium-term follow-up following mindfulness training (MD -23 minutes per day, 95% CI -63 to 17, one study, low-quality evidence). Similarly a single study reported no change in sitting time at work following provision of highly personalised or contextualised information and less personalised or contextualised information. One study found no significant effects of activity trackers on sitting time at work.Multi-component interventions Combining multiple interventions had significant but heterogeneous effects on sitting time at work (573 participants, three studies, very low-quality evidence) and on time spent in prolonged sitting bouts (two studies, very low-quality evidence) at short-term follow-up.

AUTHORS' CONCLUSIONS

At present there is low-quality evidence that the use of sit-stand desks reduce workplace sitting at short-term and medium-term follow-ups. However, there is no evidence on their effects on sitting over longer follow-up periods. Effects of other types of interventions, including workplace policy changes, provision of information and counselling, and multi-component interventions, are mostly inconsistent. The quality of evidence is low to very low for most interventions, mainly because of limitations in study protocols and small sample sizes. There is a need for larger cluster-RCTs with longer-term follow-ups to determine the effectiveness of different types of interventions to reduce sitting time at work.

Sitting patterns after relocation to activity-based offices: A controlled study of a natural intervention

This study determined the effect of relocating workers from traditional to activity-based offices on objectively measured sitting patterns. Office workers (n=493) from five office-sites within a large Swedish government agency were included in a controlled study of a natural intervention (2015-2017). At four sites, traditional offices were replaced by activity-based offices, while workers at one site with no relocation acted as controls. Sitting, standing and walking were measured objectively for 5-8days in a sub-sample (n=110) using accelerometry (Actigraph). Total sitting time (% of working time) and time spent in short (<5min), moderate (5-30min) and prolonged (>30min) uninterrupted periods in sitting were determined. Intervention effects were determined at 3- and 12-month follow-ups using linear mixed models adjusted for baseline age, gender and office type, and stratified by office-site (referencing controls). The relocation to activity-based offices did not result in an overall effect (across sites) on occupational sitting time (all p>0.05), while walking time had increased significantly by 1.4% of the working time at 12months compared with controls. Heterogeneous results were found across offices after 12months on total sitting time compared with controls (estimated change -18.3% time-1.4% time), prolonged sitting (change -18.3% to -3.8%), walking (change 0.5%-3.5%) and standing (change -1.4%-13.9%). In conclusion, relocation to activity-based offices had a limited overall effect on occupational sitting patterns in the studied organization, but differed considerably between office sites. Site-specific determinants of sitting behavior in activity-based offices need be identified.

The Impact of Activity Based Working (ABW) on Workplace Activity, Eating Behaviours, Productivity, and Satisfaction

The redesign of the physical workplace according to activity-based working (ABW) principles has potential to influence employee health and workplace outcomes. This natural experiment examined changes in accelerometer-derived workplace activity, self-reported eating behaviours, productivity, workplace satisfaction before (March to November 2014) and six to nine months after moving to an ABW workplace compared to a comparison workplace (n = 146 at baseline (56% ABW, aged 40.1 ± 8.5 years, 72% female). Interviews were also conducted with 21 ABW participants. Between- and within-group differences were examined and mixed model analysis examined intervention effects over time. Effect sizes were calculated on change scores (Cohen’s d). Although not statistically significant, ABW participants had meaningful improvements in workday sedentary time, light-, and moderate-to-vigorous intensity physical activity, job satisfaction and relationship with co-workers (d = 0.379–0.577), and small declines in productivity (d = 0.278). There were significant, meaningful, and beneficial intervention effects on perceived organisational support for being active in the workplace, frequency of eating lunch with colleagues, and satisfaction with the physical environment in ABW compared to comparison participants (d = 0.501–0.839). Qualitative data suggested that ABW employees associated ABW with greater opportunities for movement and collaboration, but had mixed views on the impact on productivity. Future research with larger samples and over longer follow-up periods is warranted.

Ecological Influences on Employees' Workplace Sedentary Behavior: A Cross-Sectional Study

PURPOSE

The purpose of this study was to explore the relationship between ecological factors and occupational sedentary behavior (SB).

DESIGN

Cross-sectional online survey.

SETTING

Participants were employees recruited from a large, public university in the Southeastern United States from August to November 2016.

PARTICIPANTS

The final sample included 527 (56% response rate) employees.

MEASURES

Data were collected through an 87-item survey using previously validated scales that assessed occupational SB, perceived behavioral control, barrier self-efficacy, self-regulation strategies, organizational social norms, office environment, and worksite climate.

ANALYSIS

One-way analysis of variance analyses were used to determine differences in occupational SB by demographic factors. A multivariate regression model was used to determine significant ecological determinants of occupational SB.

RESULTS

Mean SB was 342.45 (standard deviation = 133.25) minutes. Significant differences in SB were found by gender, education, and employment classification. Barrier self-efficacy and workplace connectivity, which evaluates the spatial layout of the office setting that may impact mobility within the workplace, were significant predictors of SB in the multivariate model.

CONCLUSION

Results from this study provide new information regarding the potential impact of workplace barriers and connectivity on occupational SB. The findings from this study support the inclusion of intervention modalities to minimize workplace barriers and increase workplace connectivity to increase workplace mobility and decrease SB.

Take a Stand!-a multi-component intervention aimed at reducing sitting time among office workers-a cluster randomized trial

Background

Prolonged sitting time has been associated with adverse health outcomes. Interventions at work may contribute to reduced sitting. The objective was to test if a multicomponent work-based intervention can reduce sitting time and the number of prolonged sitting periods (> 30 min), increase the number of sit-to-stand transitions and decrease waist circumference and body fat percentage among office workers. Primary outcomes were: change in sitting time, prolonged sitting periods and sit-to-stand transitions at follow-up 1 month later.

Methods

At four workplaces, 19 offices (317 workers in total) were cluster randomized for intervention or control. The intervention included the appointment of local ambassadors, management support, environmental changes, a lecture and a workshop. Sitting time was measured using an ActiGraph GT3X+ fixed on the thigh. Data were processed using Acti4 software providing data on time spent sitting, standing and doing other activities. Control participants were instructed to behave as usual. Follow-up measurements were obtained after 1 and 3 months.

Results

At 1 and 3 months, total sitting time was 71 ( P < 0.001) and 48 min ( P < 0.001) lower per 8-h workday in the intervention group compared with the control group. At 1 month, the number of prolonged sitting periods was lower (-0.79/8-h workday, P < 0.001) and sit-to-stand transitions were higher (+14%/sitting hour, P = 0.001) in the intervention compared with the control group. After 3 months, trends persisted. The body fat percentage was lower by 0.61 percentage points ( P = 0.011) in the intervention group compared with the control group after 3 months.

Conclusions

The multicomponent workplace-based intervention was effective in reducing sitting time, prolonged sitting periods and body fat percentage, and in increasing the number of sit-to-stand transitions.

Social ecological correlates of workplace sedentary behavior

Background

To identify social ecological correlates of objectively measured workplace sedentary behavior.

Methods

Participants from 24 worksites - across academic, industrial, and government sectors - wore an activPAL-micro accelerometer for 7-days (Jan-Nov 2016). Work time was segmented using daily logs. Sedentary behavior outcomes included time spent sitting, standing, in light intensity physical activity (LPA, stepping cadence <100 steps/min), and in prolonged sitting bouts (>30 min). Outcomes were standardized to an 8 h work day. Two electronic surveys were completed to derive individual (job type and work engagement), cultural (lunch away from the desk, walking at lunch and face-to-face interaction), physical (personal printer and office type) and organizational (sector) factors. Mixed-model analyses with worksite-level clustering were performed to examine multi-level associations. Secondary analyses examined job type and sector as moderators of these associations. All models were adjusted for age, race/ethnicity and gender.

Results

Participants (N = 478; 72% female; age: 45.0 ± 11.3 years; 77.8% non-Hispanic white) wore the activPAL-micro for 90.2 ± 15.5% of the reported workday. Walking at lunch was positively associated with LPA (5.0 ± 0.5 min/8 h, P < 0.001). Regular face-to-face interaction was negatively associated with prolonged sitting (−11.3 ± 4.8 min/8 h, P < 0.05). Individuals in private offices sat more (20.1 ± 9.1 min/8 h, P < 0.05), stood less (−21.5 ± 8.8 min/8 h, P < 0.05), and engaged in more prolonged sitting (40.9 ± 11.2 min/8 h, P < 0.001) than those in public office space. These associations were further modified by job type and sector.

Conclusions

Work-specific individual, cultural, physical and organizational factors are associated with workplace sedentary behavior. Associations vary by job type and sector and should be considered in the design of workplace interventions to reduce sedentary behavior.

Trial registration

Clinical trial No. NCT02566317; Registered Sept 22nd 2015.

Correlates of sedentary behaviour in adults: a systematic review

OBJECTIVE

The objective of this study was to systematically review evidence to identify intrapersonal, social environmental, physical environmental and policy correlates of sedentary behaviour (SB) among adults.

METHODS

Six databases were searched to identify studies that reported on intrapersonal, social, physical environmental and/or policy correlates of SB across domains (i.e. occupational, leisure and transportation) in adults (mean ≥ 18 years old). Subgroup differences (sex, age, disease status, publication status and date, weekdays vs. weekend) were examined. Risk of bias was assessed, and a qualitative synthesis completed.

PROSPERO

CRD42014009814 RESULTS: Searching identified 22,779 articles; 257 were used in the analysis. Most studies used self-reported SB and were cross-sectional. The most studied domain of SB and correlate was leisure and intrapersonal, respectively. Consistent evidence found positive relationships between full-time employment and higher transportation and lower leisure SB; higher income/socioeconomic status and greater transportation and occupation SB; living in more urban areas and greater sitting time and total SB; ownership of televisions and greater leisure SB; and, active workstations and lower occupational SB.

CONCLUSIONS

The review identifies the need for longitudinal studies, as well as further research on factors in the physical, social and policy environments. The review also recognizes the need to standardize methodology for collecting, defining and reporting SB and correlates.

Sedentary Behavior and Health: Broadening the Knowledge Base and Strengthening the Science

We provide an overview of a recently published, edited book in a rapidly emerging field of research, policy, and practice for physical activity: Sedentary Behavior and Health. In this commentary, we highlight the broad perspectives provided in the 27 chapters of Sedentary Behavior and Health and suggest a research strategy to move the field forward-not only with scientific rigor, but also with breadth of scholarship. The book's chapters provide an overview of the background to and contexts for sedentary behavior and health. They then highlight the importance of understanding health consequences and underlying mechanisms; introduce key measurement technology and analytic strategies; consider sedentary behavior in subpopulations; describe conceptual models and theories to guide sedentary behavior interventions; and explain what is known about interventions in different settings. Considering the breadth of perspectives brought to bear on the field and the plethora of opportunities for research, policy, and practice, we suggest 3 elements of an interdisciplinary research strategy drawing upon the primary knowledge bases of physical activity and health: through the experimental methods of exercise science, through the observational tools of epidemiology, and through the conceptual approaches and methods of behavioral science. A better understanding of the health consequences of sedentary behavior and how they may be influenced can be encompassed by 3 key questions: What changes are needed to most effectively influence sedentary behaviors? What elements of sedentary behavior should be changed to improve health outcomes? What are the feasibility of and the benefits from changing sedentary behavior?

Considerations when using the activPAL monitor in field-based research with adult populations

Research indicates that high levels of sedentary behavior (sitting or lying with low energy expenditure) are adversely associated with health. A key factor in improving our understanding of the impact of sedentary behavior (and patterns of sedentary time accumulation) on health is the use of objective measurement tools that collect date and time-stamped activity information. One such tool is the activPAL monitor. This thigh-worn device uses accelerometer-derived information about thigh position to determine the start and end of each period spent sitting/lying, standing, and stepping, as well as stepping speed, step counts, and postural transitions. The activPAL is increasingly being used within field-based research for its ability to measure sitting/lying via posture. We summarise key issues to consider when using the activPAL in physical activity and sedentary behavior field-based research with adult populations. It is intended that the findings and discussion points be informative for researchers who are currently using activPAL monitors or are intending to use them. Pre-data collection decisions, monitor preparation and distribution, data collection considerations, and manual and automated data processing possibilities are presented using examples from current literature and experiences from 2 research groups from the UK and Australia.

Who uses height-adjustable desks? - Sociodemographic, health-related, and psycho-social variables of regular users

BACKGROUND

Sit-to-stand height-adjustable desks (HAD) may promote workplace standing, as long as workers use them on a regular basis. The aim of this study was to investigate (i) how common HAD in German desk-based workers are, and how frequently HADs are used, (ii) to identify sociodemographic, health-related, and psycho-social variables of workday sitting including having a HAD, and (iii) to analyse sociodemographic, health-related, and psycho-social variables of users and non-users of HADs.

METHODS

A cross-sectional sample of 680 participants (51.9% men; 41.0 ± 13.1 years) in a desk-based occupation was interviewed by telephone about their occupational sitting and standing proportions, having and usage of a HAD, and answered questions concerning psycho-social variables of occupational sitting. The proportion of workday sitting was calculated for participants having an HAD (n = 108) and not-having an HAD (n = 573), as well as for regular users of HAD (n = 54), and irregular/non-users of HAD (n = 54). Linear regressions were conducted to calculate associations between socio-demographic, health-related, psychosocial variables and having/not having an HAD, and the proportion of workday sitting. Logistic regressions were executed to examine the association of mentioned variables and participants' usage of HADs.

RESULTS

Sixteen percent report that they have an HAD, and 50% of these report regular use of HAD. Having an HAD is not a correlate of the proportion of workday sitting. Further analysis restricted to participants having available a HAD highlights that only the 'perceived advantages of sitting less' was significantly associated with HAD use in the fully adjusted model (OR 1.75 [1.09; 2.81], p < 0.05).

CONCLUSIONS

The present findings indicate that accompanying behavioral action while providing an HAD is promising to increase the regular usage of HAD. Hence, future research needs to address the specificity of behavioral actions in order to enhance regular HAD use, and needs to give more fundamental insights into these associations.

Work Site-Based Environmental Interventions to Reduce Sedentary Behavior: A Systematic Review

OBJECTIVE

The purpose of this investigation was to systematically review work site-based, environmental interventions to reduce sedentary behavior following preferred reporting items for systematic reviews and meta-analyses guidelines.

DATA SOURCE

Data were extracted from Medical Literature Analysis and Retrieval System Online, Cochrane Central Register of Controlled Trials, and Web of Science between January 2005 and December 2015.

STUDY INCLUSION AND EXCLUSION CRITERIA

Inclusion criteria were work site interventions, published in peer-reviewed journals, employing environmental modalities, targeting sedentary behavior, and using any quantitative design. Exclusion criteria were noninterventions and non-English publications.

DATA EXTRACTION

Data extracted included study design, population, intervention dosage, intervention activities, evaluation measures, and intervention effects.

DATA SYNTHESIS

Data were tabulated quantitatively and synthesized qualitatively.

RESULTS

A total of 15 articles were identified for review and 14 reported statistically significant decreases in sedentary behavior. The majority of studies employed a randomized controlled trial design (n = 7), used inclinometers to measure sedentary behavior (n = 9), recruited predominantly female samples (n = 15), and utilized sit-to-stand desks as the primary intervention modality (n = 10). The mean methodological quality score was 6.2 out of 10.

CONCLUSION

Environmental work site interventions to reduce sedentary behavior show promise because work sites often have more control over environmental factors. Limitations of this intervention stream include inconsistent measurement of sedentary behavior, absence of theoretical frameworks to guide program development, and absence of long-term evaluation. Future studies should include clear reporting of intervention strategies and explicit operationalization of theoretical constructs.

Identifying adults' valid waking wear time by automated estimation in activPAL data collected with a 24 h wear protocol

The activPAL monitor, often worn 24 h d^-1, provides accurate classification of sitting/reclining posture. Without validated automated methods, diaries-burdensome to participants and researchers-are commonly used to ensure measures of sedentary behaviour exclude sleep and monitor non-wear. We developed, for use with 24 h wear protocols in adults, an automated approach to classify activity bouts recorded in activPAL 'Events' files as 'sleep'/non-wear (or not) and on a valid day (or not). The approach excludes long periods without posture change/movement, adjacent low-active periods, and days with minimal movement and wear based on a simple algorithm. The algorithm was developed in one population (STAND study; overweight/obese adults 18-40 years) then evaluated in AusDiab 2011/12 participants (n  =  741, 44% men, aged  >35 years, mean  ±  SD 58.5  ±  10.4 years) who wore the activPAL3^™ (7 d, 24 h d^-1 protocol). Algorithm agreement with a monitor-corrected diary method (usual practice) was tested in terms of the classification of each second as waking wear (Kappa; κ) and the average daily waking wear time, on valid days. The algorithm showed 'almost perfect' agreement (κ  >  0.8) for 88% of participants, with a median kappa of 0.94. Agreement varied significantly (p  <  0.05, two-tailed) by age (worsens with age) but not by gender. On average, estimated wear time was approximately 0.5 h d^-1 higher than by the diary method, with 95% limits of agreement of approximately this amount  ±2 h d^-1. In free-living data from Australian adults, a simple algorithm developed in a different population showed 'almost perfect' agreement with the diary method for most individuals (88%). For several purposes (e.g. with wear standardisation), adopting a low burden, automated approach would be expected to have little impact on data quality. The accuracy for total waking wear time was less and algorithm thresholds may require adjustments for older populations.

Physiological Motion Axis for the Seat of a Dynamic Office Chair

OBJECTIVE

The aim of this study was to determine and verify the optimal location of the motion axis (MA) for the seat of a dynamic office chair.

BACKGROUND

A dynamic seat that supports pelvic motion may improve physical well-being and decrease the risk of sitting-associated disorders. However, office work requires an undisturbed view on the work task, which means a stable position of the upper trunk and head. Current dynamic office chairs do not fulfill this need. Consequently, a dynamic seat was adapted to the physiological kinematics of the human spine.

METHOD

Three-dimensional motion tracking in free sitting helped determine the physiological MA of the spine in the frontal plane. Three dynamic seats with physiological, lower, and higher MA were compared in stable upper body posture (thorax inclination) and seat support of pelvic motion (dynamic fitting accuracy). Spinal kinematics during sitting and walking were compared.

RESULTS

The physiological MA was at the level of the 11th thoracic vertebra, causing minimal thorax inclination and high dynamic fitting accuracy. Spinal motion in active sitting and walking was similar.

CONCLUSION

The physiological MA of the seat allows considerable lateral flexion of the spine similar to walking with a stable upper body posture and a high seat support of pelvic motion.

APPLICATION

The physiological MA enables lateral flexion of the spine, similar to walking, without affecting stable upper body posture, thus allowing active sitting while focusing on work.