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Wallmann-Sperlich B, Bucksch J, Lendt C, Biallas B, Bipp T, Froboese I. Home office shift and sedentary behaviour in Germany during the COVID-19 pandemic: descriptives and related socioecological correlates. ERGONOMICS 2024; 67:1-12. [PMID: 37125437 DOI: 10.1080/00140139.2023.2202841] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/16/2023] [Indexed: 06/19/2023]
Abstract
COVID-19 working restrictions resulted in a location shift of white-collar workers into their home office (HO). Little is known about how the proportion of HO affects sitting and physical activity (PA) behaviour during working hours, and potential correlates are not well understood. A cross-sectional sample of currently working adults in HO (n = 575) completed questionnaires regarding HO proportion before and during the pandemic, work-related sitting and PA, and socioecological factors regarding HO sitting time. The reported HO proportion increased by 46.7 ± 40.6% during COVID-19 working restrictions. Workday sitting proportion correlates positively with HO proportion. The regression model identified gender, education level, working hours, working environment to stand during work, and transport and leisure PA as correlates of the workday sitting proportion in HO. This study provides findings that high HO proportions are related to higher work-related sitting times and adds insights into possible correlates of sitting time in HO.Practitioner summary: Working in the home office (HO) is a common characteristic of flexible work in white-collar workers. This study found that the workday sitting proportion correlates positively with HO proportion and identified correlates of the workday sitting in HO. Practitioners should consider the potential impacts of HO on work-related sedentary behaviour in future workplace health promotion.
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Affiliation(s)
| | - Jens Bucksch
- Department of Prevention and Health Promotion, Faculty of Natural and Sociological Sciences, University of Education Heidelberg, Heidelberg, Germany
| | - Claas Lendt
- Institute of Movement Therapy and Movement-oriented Prevention and Rehabilitation, German Sport University Cologne, Cologne, Germany
| | - Bianca Biallas
- Institute of Movement Therapy and Movement-oriented Prevention and Rehabilitation, German Sport University Cologne, Cologne, Germany
| | - Tanja Bipp
- Industrial and Organizational Psychology, Institute of Psychology, Heidelberg University, Heidelberg, Germany
| | - Ingo Froboese
- Institute of Movement Therapy and Movement-oriented Prevention and Rehabilitation, German Sport University Cologne, Cologne, Germany
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Popham S, Burq M, Rainaldi EE, Shin S, Dunn J, Kapur R. An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study. JMIR BIOMEDICAL ENGINEERING 2023; 8:e43726. [PMID: 38875664 PMCID: PMC11041455 DOI: 10.2196/43726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/05/2022] [Accepted: 01/19/2023] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Measuring the amount of physical activity and its patterns using wearable sensor technology in real-world settings can provide critical insights into health status. OBJECTIVE This study's aim was to develop and evaluate the analytical validity and transdemographic generalizability of an algorithm that classifies binary ambulatory status (yes or no) on the accelerometer signal from wrist-worn biometric monitoring technology. METHODS Biometric monitoring technology algorithm validation traditionally relies on large numbers of self-reported labels or on periods of high-resolution monitoring with reference devices. We used both methods on data collected from 2 distinct studies for algorithm training and testing, one with precise ground-truth labels from a reference device (n=75) and the second with participant-reported ground-truth labels from a more diverse, larger sample (n=1691); in total, we collected data from 16.7 million 10-second epochs. We trained a neural network on a combined data set and measured performance in multiple held-out testing data sets, overall and in demographically stratified subgroups. RESULTS The algorithm was accurate at classifying ambulatory status in 10-second epochs (area under the curve 0.938; 95% CI 0.921-0.958) and on daily aggregate metrics (daily mean absolute percentage error 18%; 95% CI 15%-20%) without significant performance differences across subgroups. CONCLUSIONS Our algorithm can accurately classify ambulatory status with a wrist-worn device in real-world settings with generalizability across demographic subgroups. The validated algorithm can effectively quantify users' walking activity and help researchers gain insights on users' health status.
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Affiliation(s)
- Sara Popham
- Verily Life Sciences, South San Francisco, CA, United States
| | - Maximilien Burq
- Verily Life Sciences, South San Francisco, CA, United States
| | - Erin E Rainaldi
- Verily Life Sciences, South San Francisco, CA, United States
| | - Sooyoon Shin
- Verily Life Sciences, South San Francisco, CA, United States
| | - Jessilyn Dunn
- Department of Biomedical Engineering, Duke University, Durham, NC, United States
- Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, United States
- Duke Clinical Research Institute, Durham, NC, United States
| | - Ritu Kapur
- Verily Life Sciences, South San Francisco, CA, United States
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Nöscher P, Weber A, Leitzmann M, Grifka J, Jochem C. [Work-related sedentary behavior]. ZENTRALBLATT FUR ARBEITSMEDIZIN, ARBEITSSCHUTZ UND ERGONOMIE 2023; 73:39-47. [PMID: 36643722 PMCID: PMC9829228 DOI: 10.1007/s40664-022-00489-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/09/2022] [Indexed: 01/11/2023]
Abstract
Background Sedentary behavior is associated with an increased risk of chronic diseases, such as metabolic syndrome and type 2 diabetes and all-cause mortality. Occupational sitting time contributes to large amounts of daily sedentary behavior, especially in office workers. Objective This study investigated the amount of time spent in sedentary behavior during different tasks at work and while commuting of administrative personnel of a university hospital in Germany. Material and methods A cross-sectional questionnaire-based study of administrative employees at the University Hospital Regensburg, Germany was carried out to assess work-related sedentary behavior. Descriptive and exploratory statistical analyses were performed. Results The study population consisted of 159 participants (54.1% women, 51.6% older than 40 years), which corresponds to a response rate of 26%. The median daily sitting time in the office was 7.0 h (interquartile range, IQR 6.0-7.5 h) and mostly occurred during computer work (57.3%), telephone calls (13.2%) and meetings (11.7%). Median standing time at work was 0.8 h (IQR 0.3-1.4 h). Administrative staff spent a median of 0.7 h (IQR 0.3-1.0 h) per day sedentary while commuting, with 67.3% of respondents commuting by car, motorbike or scooter. The participants were of the opinion that sitting for long uninterrupted periods had negative (69.6%) or relatively negative (29.7%) effects on health. Conclusion Administrative staff in hospitals spend large amounts of the daily working time with sedentary behavior. Interventions that enable working both in sitting and standing positions can lead to reduced work-related sitting time and thereby could improve occupational and, in a broader sense, public health.
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Affiliation(s)
- Paulus Nöscher
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Deutschland
| | - Andrea Weber
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Deutschland
| | - Michael Leitzmann
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Deutschland
| | - Joachim Grifka
- Abteilung für Orthopädie, Universitätsklinikum Regensburg, Asklepios Klinikum Bad Abbach, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Deutschland
| | - Carmen Jochem
- Institut für Epidemiologie und Präventivmedizin, Universität Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Deutschland
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Brakenridge CJ, Gardiner PA, Grigg RV, Winkler EAH, Fjeldsoe BS, Schaumberg MA, Owen N, Eakin EG, Biddle SJH, Moodie M, Daly RM, Green DJ, Cohen N, Gray L, Comans T, Buman MP, Goode AD, Nguyen P, Gao L, Healy GN, Dunstan DW. Sitting less and moving more for improved metabolic and brain health in type 2 diabetes: 'OPTIMISE your health' trial protocol. BMC Public Health 2022; 22:929. [PMID: 35538430 PMCID: PMC9086419 DOI: 10.1186/s12889-022-13123-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 03/16/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Clinical practice guidelines recommend that adults with type 2 diabetes (T2D) sit less and move more throughout the day. The 18-month OPTIMISE Your Health Clinical Trial was developed to support desk-based workers with T2D achieve these recommendations. The two-arm protocol consists of an intervention and control arms. The intervention arm receives 6 months health coaching, a sit-stand desktop workstation and an activity tracker, followed by 6 months of text message support, then 6 months maintenance. The control arm receives a delayed modified intervention after 12 months of usual care. This paper describes the methods of a randomised controlled trial (RCT) evaluating the effectiveness and cost-effectiveness of the intervention, compared to a delayed intervention control. METHODS This is a two-arm RCT being conducted in Melbourne, Australia. Desk-based workers (≥0.8 full-time equivalent) aged 35-65 years, ambulatory, and with T2D and managed glycaemic control (6.5-10.0% HbA1c), are randomised to the multicomponent intervention (target n = 125) or delayed-intervention control (target n = 125) conditions. All intervention participants receive 6 months of tailored health coaching assisting them to "sit less" and "move more" at work and throughout the day, supported by a sit-stand desktop workstation and an activity tracker (Fitbit). Participants receive text message-based extended care for a further 6-months (6-12 months) followed by 6-months of non-contact (12-18 months: maintenance). Delayed intervention occurs at 12-18 months for the control arm. Assessments are undertaken at baseline, 3, 6, 12, 15 and 18-months. Primary outcomes are activPAL-measured sitting time (h/16 h day), glycosylated haemoglobin (HbA1c; %, mmol/mol) and, cognitive function measures (visual learning and new memory; Paired Associates Learning Total Errors [adjusted]). Secondary, exploratory, and process outcomes will also be collected throughout the trial. DISCUSSION The OPTIMISE Your Health trial will provide unique insights into the benefits of an intervention aimed at sitting less and moving more in desk-bound office workers with T2D, with outcomes relevant to glycaemic control, and to cardiometabolic and brain health. Findings will contribute new insights to add to the evidence base on initiating and maintaining behaviour change with clinical populations and inform practice in diabetes management. TRIAL REGISTRATION ANZCTRN12618001159246 .
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Affiliation(s)
- Christian J Brakenridge
- Baker Heart & Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia.
- Australian Catholic University, Mary Mackillop Institute of Health Research, Melbourne, Australia.
| | - Paul A Gardiner
- University of Southern Queensland, School of Health and Medical Sciences, Ipswich, Australia
- University of Southern Queensland, Centre for Health Research, Springfield, Australia
- The University of Queensland, Centre for Health Services Research, Brisbane, Australia
| | - Ruth V Grigg
- Baker Heart & Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - Elisabeth A H Winkler
- The University of Queensland, School of Human Movement and Nutrition Sciences, Brisbane, Australia
| | - Brianna S Fjeldsoe
- The University of Queensland, School of Public Health, Brisbane, Australia
| | - Mia A Schaumberg
- The University of Queensland, School of Human Movement and Nutrition Sciences, Brisbane, Australia
- University of Sunshine Coast, School of Health and Behavioural Sciences, Sunshine Coast, Australia
- Sunshine Coast Health Institute, Sunshine Coast Hospital and Health Service, Birtinya, Australia
| | - Neville Owen
- Baker Heart & Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia
- Swinburne University, School of Health Sciences, Melbourne, Australia
| | - Elizabeth G Eakin
- The University of Queensland, School of Public Health, Brisbane, Australia
| | - Stuart J H Biddle
- University of Southern Queensland, Centre for Health Research, Springfield, Australia
| | - Marjory Moodie
- Deakin University, School of Health and Social Development, Melbourne, Australia
| | - Robin M Daly
- Deakin University, Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Melbourne, Australia
| | - Daniel J Green
- University of Western Australia, School of Sport Science, Exercise & Health, Perth, Australia
| | - Neale Cohen
- Baker Heart & Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia
| | - Len Gray
- The University of Queensland, Centre for Health Services Research, Brisbane, Australia
| | - Tracy Comans
- The University of Queensland, Centre for Health Services Research, Brisbane, Australia
| | - Matthew P Buman
- Arizona State University, College of Health Solutions, Tempe, USA
| | - Ana D Goode
- The University of Queensland, School of Human Movement and Nutrition Sciences, Brisbane, Australia
| | - Phuong Nguyen
- Deakin University, School of Health and Social Development, Melbourne, Australia
| | - Lan Gao
- Deakin University, School of Health and Social Development, Melbourne, Australia
| | - Genevieve N Healy
- Baker Heart & Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia
- The University of Queensland, School of Human Movement and Nutrition Sciences, Brisbane, Australia
| | - David W Dunstan
- Baker Heart & Diabetes Institute, 99 Commercial Rd, Melbourne, VIC, 3004, Australia
- Deakin University, Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Melbourne, Australia
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia
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Wallmann-Sperlich B, Düking P, Müller M, Froböse I, Sperlich B. Type and intensity distribution of structured and incidental lifestyle physical activity of students and office workers: a retrospective content analysis. BMC Public Health 2022; 22:634. [PMID: 35365097 PMCID: PMC8976323 DOI: 10.1186/s12889-022-12999-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 03/16/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Physical activity (PA) guidelines acknowledge the health benefits of regular moderate-to-vigorous physical activity (MVPA) regardless of bout duration. However, little knowledge exists concerning the type and intensity distribution of structured and incidental lifestyle PA of students and office workers. The present study aimed to i) assess the duration and distribution of intensity of MVPAs during waking hours ≥50% of heart rate reserve (HRR), ii) to identify the type of PA through diary assessment, iii) to assign these activities into structured and lifestyle incidental PA, and iv) to compare this information between students and office workers. METHODS Twenty-three healthy participants (11 students, 12 office workers) recorded heart rate (HR) with a wrist-worn HR monitor (Polar M600) and filled out a PA diary throughout seven consecutive days (i.e. ≥ 8 waking h/day). Relative HR zones were calculated, and PA diary information was coded using the Compendium of PA. We matched HR data with the reported PA and identified PA bouts during waking time ≥ 50% HRR concerning duration, HRR zone, type of PA, and assigned each activity to incidental and structured PA. Descriptive measures for time spend in different HRR zones and differences between students and office workers were calculated. RESULTS In total, we analyzed 276.894 s (76 h 54 min 54 s) of waking time in HRR zones ≥50% and identified 169 different types of PA. The participants spend 31.9 ± 27.1 min/day or 3.9 ± 3.2% of their waking time in zones of ≥50% HRR with no difference between students and office workers (p > 0.01). The proportion of assigned incidental lifestyle PA was 76.9 ± 22.5%. CONCLUSIONS The present study provides initial insights regarding the type, amount, and distribution of intensity of structured and incidental lifestyle PA ≥ 50% HRR. Findings show a substantial amount of incidental lifestyle PA during waking hours and display the importance of promoting a physically active lifestyle. Future research could employ ambulatory assessments with integrated electronic diaries to detect information on the type and context of MVPA during the day.
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Affiliation(s)
- Birgit Wallmann-Sperlich
- Institute of Sports Science, Julius-Maximilian University Würzburg, Judenbühlweg 11, 97082 Würzburg, Germany
| | - Peter Düking
- Integrative and Experimental Exercise Science and Training, Institute of Sport Science, University of Würzburg, Judenbühlweg 11, 97082 Würzburg, Germany
| | - Miriam Müller
- Institute of Sports Science, Julius-Maximilian University Würzburg, Judenbühlweg 11, 97082 Würzburg, Germany
| | - Ingo Froböse
- Institute of Movement-Therapy and movement-oriented Prevention and Rehabilitation, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933 Köln, Germany
| | - Billy Sperlich
- Integrative and Experimental Exercise Science and Training, Institute of Sport Science, University of Würzburg, Judenbühlweg 11, 97082 Würzburg, Germany
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Goel R, Pham A, Nguyen H, Lindberg C, Gilligan B, Mehl MR, Heerwagen J, Kampschroer K, Sternberg EM, Najafi B. Effect of Workstation Type on the Relationship Between Fatigue, Physical Activity, Stress, and Sleep. J Occup Environ Med 2021; 63:e103-e110. [PMID: 33652447 DOI: 10.1097/jom.0000000000002108] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVE This study examined office workstation types' impact on the relationship between fatigue and three health metrics: physical activity, stress, and sleep quality. METHODS Data from 225 office workers were collected for perceived fatigue, perceived sleep quality (Pittsburgh Sleep Quality Index [PSQI]), physiological stress response (standard deviation of heart rate variability [HRV]), and physical activity (total activity in minutes) during three consecutive workdays. Stress and physical activity were measured using chest-worn sensors. Workers were then categorized as tired or not-tired based on the median of the fatigue rating. RESULTS Among tired workers, open-bench seating workers had increased physical activity, improved sleep quality, and reduced stress compared with workers in private offices and cubicles. CONCLUSIONS Office workstation types influence physical activity and levels of stress during work hours, which in turn affect sleep quality.
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Affiliation(s)
- Rahul Goel
- Interdisciplinary Consortium on Advanced Motion Performance, Michael E. DeBakey Department of Surgery (Dr Goel, Mr Pham, Dr Nguyen, Dr Najafi); Department of Neuroscience (Dr Goel), Baylor College of Medicine, Houston, Texas; U.S. General Services Administration, Washington, DC (Mr Gilligan, Dr Heerwagen, Mr Kampschroer, the Wellbuilt for Wellbeing Team); Department of Psychology (Dr Mehl, Dr Sternberg); Andrew Weil Center for Integrative Medicine, University of Arizona Institute on Place and Wellbeing & Performance (Dr Lindberg, Dr Sternberg), University of Arizona, Tucson, Arizona
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Lin JH, Bao S. The effect of sit-stand schedules on office work productivity: A pilot study. Work 2019; 64:563-568. [PMID: 31658089 DOI: 10.3233/wor-193017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Sit-stand workstations have been introduced in the workplaces to address the adverse sedentary effect inherent to typical office jobs. Existing field or laboratory studies showed that standing interventions are not a detriment to work productivity or performance. The effect of gradient standing proportion on these measures is still unknown. OBJECTIVE The current naturalistic pilot study aimed to examine the controlled sit-stand ratio effect on office performances. METHODS Eleven musculoskeletal symptom free office employees from a large government agency volunteered in this study. They were all equipped with electronic sit-stand desks. Computer usage (N=11) and productivity (N=3) were collected using software and organizational metrics, respectively, for four typical workdays of four different sit-stand ratios (7 : 1, 3 : 1, 2 : 1, and 1 : 1). RESULTS There were no statistically significant schedule effects on any computer usage measures. While not significant, time using computer, keystrokes, word count, and keyboard errors were all less as standing time increased. Sit-stand ratio and job productivity did not observe a clear cause and effect relationship. CONCLUSIONS The amount of time spent standing in typical office jobs might not affect computer usage and productivity. Further study with a larger sample is needed for a stronger evidence.
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Affiliation(s)
- Jia-Hua Lin
- Safety and Health Assessment and Research for Prevention (SHARP) Program, Washington State Department of Labor and Industries, Olympia, WA, USA
| | - Stephen Bao
- Safety and Health Assessment and Research for Prevention (SHARP) Program, Washington State Department of Labor and Industries, Olympia, WA, USA
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De Cocker K, Cardon G, Vergeer I, Radtke T, Vandelanotte C. Who Uses Action Planning in a Web-Based Computer-Tailored Intervention to Reduce Workplace Sitting and What do Action Plans Look Like? Analyses of the Start to stand Intervention among Flemish Employees. Appl Psychol Health Well Being 2019; 11:543-561. [PMID: 31215173 DOI: 10.1111/aphw.12167] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND Action planning plays an important role in many web-based behaviour change interventions. As such, it is important to identify who engages in action planning and what action plans look like. This study examines (1) attributes of users creating an action plan and (2) the content of action plans made during a web-based intervention to reduce workplace sitting. METHODS Users answered "what" (short standing breaks and/or longer periods of standing), "when" (working hours, work breaks, commuting), "where" (workplace, transport mode), and "how" (frequency, duration, implementation intentions) questions. MANOVA and chi-squared tests were conducted to compare those creating an action plan with those who did not. Descriptive statistics were used to examine the content of the action plans. RESULTS Those creating an action plan (n = 236/1,701) were significantly older, more sedentary at work, and more aware of health risks related to excessive sitting compared to those not planning (n = 1,465). The majority planned standing breaks (n = 212) every 30 minutes, and periods of standing (n = 173) for 1 to 2 hours. CONCLUSIONS Future interventions should promote action planning more, especially among younger employees and those with less health-related knowledge about sitting. Action plans were compatible with current sitting messages used in health promotion.
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Affiliation(s)
| | | | - Ineke Vergeer
- University of Southern Queensland, Springfield Central, Australia
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Wallmann-Sperlich B, Hoffmann S, Salditt A, Bipp T, Froboese I. Moving to an "Active" Biophilic Designed Office Workplace: A Pilot Study about the Effects on Sitting Time and Sitting Habits of Office-Based Workers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16091559. [PMID: 31060203 PMCID: PMC6539275 DOI: 10.3390/ijerph16091559] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 04/30/2019] [Accepted: 05/01/2019] [Indexed: 12/15/2022]
Abstract
Promising initial insights show that offices designed to permit physical activity (PA) may reduce workplace sitting time. Biophilic approaches are intended to introduce natural surroundings into the workplace, and preliminary data show positive effects on stress reduction and elevated productivity within the workplace. The primary aim of this pilot study was to analyze changes in workplace sitting time and self-reported habit strength concerning uninterrupted sitting and PA during work, when relocating from a traditional office setting to “active” biophilic-designed surroundings. The secondary aim was to assess possible changes in work-associated factors such as satisfaction with the office environment, work engagement, and work performance, among office staff. In a pre-post designed field study, we collected data through an online survey on health behavior at work. Twelve participants completed the survey before (one-month pre-relocation, T1) and twice after the office relocation (three months (T2) and seven months post-relocation (T3)). Standing time per day during office hours increased from T1 to T3 by about 40 min per day (p < 0.01). Other outcomes remained unaltered. The results suggest that changing office surroundings to an active-permissive biophilic design increased standing time during working hours. Future larger-scale controlled studies are warranted to investigate the influence of office design on sitting time and work-associated factors during working hours in depth.
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Affiliation(s)
| | - Sophie Hoffmann
- Institute for Sports Science, Julius-Maximilian University Würzburg, 97082 Würzburg, Germany.
| | - Anne Salditt
- Interface Deutschland GmbH, Krefeld, 47803 Krefeld, Germany.
| | - Tanja Bipp
- Work, Industrial, and Organizational Psychology, Julius Maximilian University of Würzburg, 97070 Würzburg, Germany.
| | - Ingo Froboese
- Institute of Health Promotion and Clinical Movement Science, German Sport University Cologne, 50933 Cologne, Germany.
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Sperlich B, De Clerck I, Zinner C, Holmberg HC, Wallmann-Sperlich B. Prolonged Sitting Interrupted by 6-Min of High-Intensity Exercise: Circulatory, Metabolic, Hormonal, Thermal, Cognitive, and Perceptual Responses. Front Physiol 2018; 9:1279. [PMID: 30386249 PMCID: PMC6198043 DOI: 10.3389/fphys.2018.01279] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 08/24/2018] [Indexed: 01/03/2023] Open
Abstract
The aim was to examine certain aspects of circulatory, metabolic, hormonal, thermoregulatory, cognitive, and perceptual responses while sitting following a brief session of high-intensity interval exercise. Twelve students (five men; age, 22 ± 2 years) performed two trials involving either simply sitting for 180 min (SIT) or sitting for this same period with a 6-min session of high-intensity exercise after 60 min (SIT+HIIT). At T0 (after 30 min of resting), T1 (after a 20-min breakfast), T2 (after sitting for 1 h), T3 (immediately after the HIIT), T4, T5, T6, and T7 (30, 60, 90, and 120 min after the HIIT), circulatory, metabolic, hormonal, thermoregulatory, cognitive, and perceptual responses were assessed. The blood lactate concentration (at T3-T5), heart rate (at T3-T6), oxygen uptake (at T3-T7), respiratory exchange ratio, and sensations of heat (T3-T5), sweating (T3, T4) and odor (T3), as well as perception of vigor (T3-T6), were higher and the respiratory exchange ratio (T4-T7) and mean body and skin temperatures (T3) lower in the SIT+HIIT than the SIT trial. Levels of blood glucose and salivary cortisol, cerebral oxygenation, and feelings of anxiety/depression, fatigue or hostility, as well as the variables of cognitive function assessed by the Stroop test did not differ between SIT and SIT+HIIT. In conclusion, interruption of prolonged sitting with a 6-min session of HIIT induced more pronounced circulatory and metabolic responses and improved certain aspects of perception, without affecting selected hormonal, thermoregulatory or cognitive functions.
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Affiliation(s)
- Billy Sperlich
- Integrative and Experimental Exercise Science & Training, Institute of Sport Science, University of Würzburg, Würzburg, Germany
| | | | - Christoph Zinner
- Department of Sport, University of Applied Sciences for Police and Administration of Hesse, Wiesbaden, Germany
| | - Hans-Christer Holmberg
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway.,Department of Physiology and Pharmacology, Karolinska Institute, Stockholm, Sweden
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