1
|
Lynn Salzar T, Aguilar KN, Smith ML, Pickens A, Han G, Anderson G, Benden ME. Stand-Capable Workstations Reduce Occupational Sedentary Time Among Administrative Workers. IISE Trans Occup Ergon Hum Factors 2024:1-13. [PMID: 38884772 DOI: 10.1080/24725838.2024.2362720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 05/29/2024] [Indexed: 06/18/2024]
Abstract
OCCUPATIONAL APPLICATIONSIn this study, we found that workers who use stand-biased desks stood more and sat less during their workday compared to workers who use traditional desks. Stand-biased users also experienced significantly less lower back discomfort compared to both traditional and sit-stand workstation users. Based on these findings, we recommend that the use of stand-biased workstations be considered when designing or renovating work office workspaces. The health risks of sedentary behavior are inherent in most office work, but these risks can be alleviated with intentional equipment choices. Using stand-biased desks can encourage workers to move more throughout the workday without their productivity or comfort being disturbed.
Collapse
Affiliation(s)
| | - Kaysey N Aguilar
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA
| | - Matthew Lee Smith
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA
- Department of Health Behavior, Texas A&M University, College Station, TX, USA
| | - Adam Pickens
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA
| | - Gang Han
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA
- Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, USA
| | - Grace Anderson
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA
- Department of Educational Psychology, Texas A&M University, College Station, TX, USA
| | - Mark E Benden
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA
| |
Collapse
|
2
|
Jelsma JGM, van der Ploeg HP, Renaud LR, Stijnman DPM, Loyen A, Huysmans MA, van der Beek AJ, van Nassau F. Mixed-methods process evaluation of the Dynamic Work study: A multicomponent intervention for office workers to reduce sitting time. APPLIED ERGONOMICS 2022; 104:103823. [PMID: 35724470 DOI: 10.1016/j.apergo.2022.103823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 06/15/2023]
Abstract
Previously, we observed no significant reductions in sitting time of the multicomponent Dynamic Work (DW) intervention among office workers. In this study we used mixed-method data to understand context, implementation (i.e. recruitment and delivery) and mechanism of impact (i.e. experiences) of the DW intervention and to explore whether an higher implementation index score led to larger changes in participants' outcomes. We found considerable variation across departments regarding context (i.e. different size and work tasks) and implementation (i.e. delivery varied). Satisfaction with the DW intervention was high. An higher implementation index score was associated with lower overall sitting time, lower occupational sitting time, higher number of steps/day and steps/day at work at 4-months, which was maintained at 8-month for occupational sitting time. These findings provide an understanding that implementation was affected by a lack of availability of intervention components, department policy, work tasks, positioning and work location. TRIAL REGISTRATION: Clinicaltrials.gov, registration number:NCT03115645. Registered February 17, 2017 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03115645.
Collapse
Affiliation(s)
- Judith G M Jelsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Hidde P van der Ploeg
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Lidewij R Renaud
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Dominique P M Stijnman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Anne Loyen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Maaike A Huysmans
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Allard J van der Beek
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| | - Femke van Nassau
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands.
| |
Collapse
|
3
|
Mastenbroek VJEZ, Jelsma JGM, van der Ploeg HP, Stijnman DPM, Huysmans MA, van der Beek AJ, van Nassau F. Barriers and facilitators influencing the implementation of the occupational health intervention 'Dynamic Work': a qualitative study. BMC Public Health 2022; 22:947. [PMID: 35546228 PMCID: PMC9097120 DOI: 10.1186/s12889-022-13230-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 03/21/2022] [Indexed: 11/26/2022] Open
Abstract
Background Sedentary behavior is associated with an increased risk of morbidity and mortality. To reduce occupational sitting time of office workers, the multi-component intervention ‘Dynamic Work’ was implemented in a Dutch insurance company. Although the results showed no significant reductions in sitting time, associations were found between higher levels of implementation and reductions in sitting time. Building upon these findings, this qualitative study aimed to identify barriers and facilitators from an organizational perspective for the implementation of Dynamic Work. In addition, we explored differences in barriers and facilitators between departments with a low, middle and high level of implementation. Methods In total, eighteen semi-structured interviews were conducted with two Dynamic Work coordinators, three occupational physiotherapists who delivered the intervention, and thirteen department managers. All participants were purposively sampled. The data was coded in Atlas.ti and a thematic analysis was performed guided by The Integrated Checklist of Determinants (TICD). Results Implementation factors were related to the organization; working culture and financial support facilitated implementation. Factors related to the implementing department mainly hindered implementation, i.e. lack of information at start of the project, late delivery of Dynamic Work equipment, large group sizes, employee’s workload and work tasks, and an ongoing reorganization. The facilitating role of managers was experienced as both enabling and hindering. The pre-existing familiarity of the occupational physiotherapists with the departments and alignment amongst the three implementers facilitated implementation. Yet, the non-obligatory nature of the intervention as well as limited availability and technical problems of equipment did not support implementation. Conclusions Various barriers and facilitators influenced the implementation of the Dynamic Work intervention, where the key role of the department manager, late delivery of dynamic work equipment and groups sizes varied between low and high implementing departments. These results can contribute to developing and improving implementation strategies in order to increase the effectiveness of future occupational health interventions. Trial registration The study protocol was registered on April 14, 2017 in the ClinicalTrials.gov Protocol Registration and Results System under registration number NCT03115645. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13230-9.
Collapse
Affiliation(s)
- Victoria J E Z Mastenbroek
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, VU University Medical Center, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Judith G M Jelsma
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, VU University Medical Center, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Hidde P van der Ploeg
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, VU University Medical Center, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Dominique P M Stijnman
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, VU University Medical Center, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Maaike A Huysmans
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, VU University Medical Center, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Allard J van der Beek
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, VU University Medical Center, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands
| | - Femke van Nassau
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, VU University Medical Center, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam, 1081 BT, The Netherlands.
| |
Collapse
|
4
|
Tung CY, Chang CC, Jian JW, Du YS, Wu CT. Studying wearable health technology in the workplace using the Behavior Change Wheel: a systematic literature review and content analysis. Inform Health Soc Care 2022; 47:434-443. [PMID: 35272548 DOI: 10.1080/17538157.2022.2042303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Wearable Health Technology (WHT) is considered to be fast, feasible, and effective in workplace health promotion programs. This study aims to analyze behavior change strategies applied to WHT products used by employees in health promotion programs. A systematic literature review of WHT in workplace health promotion between 2006 and 2020 was conducted. The Behavior Change Wheel (BCW) was used to undertake the content analysis. We identified 14 articles of WHT in the workplace. First, physical activity and weight management were the most common health issue. Second, using the BCW, we found guidelines, regulation and communication were the most frequently applied policy categories. Third, education, enablement and training were the most common intervention functions. For example, the promoter could provide health education information by WHT. Moreover, encouraging online would motivate employees to improve health behavior. There has been a growing interest in WHT with increasing complexity in research designs and specifications. While using WHT can be an appropriate strategy to adopt as employee health projects, other interventions should be considered, for incentivization and modeling, etc. The results of this study suggest using WHT should take related health behavior theories or variables into consideration to form a comprehensive health promotion programs.
Collapse
Affiliation(s)
- Chen-Yin Tung
- Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei City, Taiwan, ROC
| | - Chia-Chen Chang
- Department of Senior Citizen Service Business, College of Human Ecology and Design, St. John's University, New Taipei City, Taiwan, ROC
| | - Jang-Wei Jian
- Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei City, Taiwan, ROC
| | - Yu-Syuan Du
- Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei City, Taiwan, ROC
| | - Cai-Ting Wu
- Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei City, Taiwan, ROC
| |
Collapse
|
5
|
Pader J, Ruan Y, Poirier AE, Asakawa K, Lu C, Memon S, Miller A, Walter S, Villeneuve PJ, King WD, Volesky KD, Smith L, De P, Friedenreich CM, Brenner DR. Estimates of future cancer mortality attributable to modifiable risk factors in Canada. Canadian Journal of Public Health 2021; 112:1069-1082. [PMID: 34036522 DOI: 10.17269/s41997-020-00455-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 11/06/2020] [Indexed: 12/31/2022]
Abstract
OBJECTIVES Modifiable lifestyle, environmental, and infectious risk factors associated with cancer impact both cancer incidence and mortality at the population level. Most studies estimating this burden focus on cancer incidence. However, because these risk factors are associated with cancers of disparate mortality rates, the burden associated with cancer incidence could differ from cancer mortality. Therefore, estimating the cancer mortality attributable to these risk factors provides additional insight into cancer prevention. Here, we estimated future cancer deaths and the number of avoidable deaths in Canada due to modifiable risk factors. METHODS The projected cancer mortality data came from OncoSim, a web-based microsimulation tool. These data were applied to the methodological framework that we previously used to estimate the population attributable risks and the potential impact fractions of modifiable risk factors on Canadian cancer incidence. RESULTS We estimated that most cancer deaths will be attributed to tobacco smoking with an average of 27,900 deaths annually from 2024 to 2047. If Canada's current trends in excess body weight continue, cancer deaths attributable to excess body weight would double from 2786 deaths in 2024 to 5604 deaths in 2047, becoming the second leading modifiable cause of cancer death. Applying targets to reduce these risk factors, up to 34,600 cancer deaths could be prevented from 2024 to 2047. CONCLUSION Our simulated results complement our previous findings on the cancer incidence burden since decreasing the overall burden of cancer will be accelerated through a combination of decreasing cancer incidence and improving survival outcomes through improved treatments.
Collapse
Affiliation(s)
- Joy Pader
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada
| | - Yibing Ruan
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada
| | - Abbey E Poirier
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada
| | - Keiko Asakawa
- Statistics Canada, Government of Canada, Ottawa, Ontario, Canada
| | - Chaohui Lu
- Statistics Canada, Government of Canada, Ottawa, Ontario, Canada
| | - Saima Memon
- Canadian Partnership Against Cancer, Toronto, Ontario, Canada
| | - Anthony Miller
- Canadian Partnership Against Cancer, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Stephen Walter
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Paul J Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | - Will D King
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Karena D Volesky
- Gerald Bronfman Department of Oncology, Division of Cancer Epidemiology and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Leah Smith
- Canadian Cancer Society, Toronto, Ontario, Canada
| | | | - Christine M Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada.,Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Darren R Brenner
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada. .,Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. .,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
| |
Collapse
|
6
|
Compernolle S, Van Dyck D, Cardon G, Brondeel R. Exploring Breaks in Sedentary Behavior of Older Adults Immediately After Receiving Personalized Haptic Feedback: Intervention Study. JMIR Mhealth Uhealth 2021; 9:e26387. [PMID: 33970109 PMCID: PMC8145090 DOI: 10.2196/26387] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 02/24/2021] [Accepted: 04/15/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND "Push" components of mobile health interventions may be promising to create conscious awareness of habitual sedentary behavior; however, the effect of these components on the near-time, proximal outcome, being breaks in sedentary behavior immediately after receiving a push notification, is still unknown, especially in older adults. OBJECTIVE The aims of this study are to examine if older adults break their sedentary behavior immediately after receiving personalized haptic feedback on prolonged sedentary behavior and if the percentage of breaks differs depending on the time of the day when the feedback is provided. METHODS A total of 26 Flemish older adults (mean age 64.4 years, SD 3.8) wore a triaxial accelerometer (Activator, PAL Technologies Ltd) for 3 weeks. The accelerometer generated personalized haptic feedback by means of vibrations each time a participant sat for 30 uninterrupted minutes. Accelerometer data on sedentary behavior were used to estimate the proximal outcome, which was sedentary behavior breaks immediately (within 1, 3, and 5 minutes) after receiving personalized haptic feedback. Generalized estimating equations were used to investigate whether or not participants broke up their sedentary behavior immediately after receiving haptic feedback. A time-related variable was added to the model to investigate if the sedentary behavior breaks differed depending on the time of day. RESULTS A total of 2628 vibrations were provided to the participants during the 3-week intervention period. Of these 2628 vibrations, 379 (14.4%), 570 (21.7%), and 798 (30.4%) resulted in a sedentary behavior break within 1, 3 and 5 minutes, respectively. Although the 1-minute interval did not reveal significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided, the 3- and 5-minute intervals did show significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided. Concretely, the percentage of sedentary behavior breaks was significantly higher if personalized haptic feedback was provided between noon and 3 PM compared to if the feedback was provided between 6 and 9 AM (odds ratio 1.58, 95% CI 1.01-2.47, within 3 minutes; odds ratio 1.78, 95% CI 1.11-2.84, within 5 minutes). CONCLUSIONS The majority of haptic vibrations, especially those in the morning, did not result in a break in the sedentary behavior of older adults. As such, simply bringing habitual sedentary behavior into conscious awareness seems to be insufficient to target sedentary behavior. More research is needed to optimize push components in interventions aimed at the reduction of the sedentary behavior of older adults. TRIAL REGISTRATION ClinicalTrials.gov NCT04003324; https://clinicaltrials.gov/ct2/show/NCT04003324.
Collapse
Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders, Brussels, Belgium
| | - Delfien Van Dyck
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Ruben Brondeel
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders, Brussels, Belgium
| |
Collapse
|
7
|
Chang SH, Chien NH, Pui-Man Wai J, Chiang CC, Yu CY. Examining the links between regular leisure-time physical activity, sitting time and prefrailty in community-dwelling older adults. J Adv Nurs 2021; 77:2761-2773. [PMID: 33619783 DOI: 10.1111/jan.14807] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 12/28/2020] [Accepted: 02/02/2021] [Indexed: 12/25/2022]
Abstract
AIMS To examine the relationship between leisure-time physical activity, sitting time and prefrailty in community-dwelling older adults. DESIGN Cross-sectional study. METHODS Between February and July 2019, 539 individuals over age 60 were recruited in northern Taiwan. Demographic, medical history, physical activity and frailty data were analysed using descriptive statistics, chi-square tests and logistic regression. RESULTS The prevalence of prefrailty was 24.4%; 33.2% had regular leisure-time physical activity, and 14.7% reported >6 hrs daily sitting time. Compared with individuals having regular leisure-time physical activity and shorter sitting times (daily average ≤6 hrs), those having no regular leisure-time physical activity and also shorter sitting times (adjusted OR, 1.80; 95% CI, 1.12, 2.92), or those also having regular leisure-time physical activity but longer sitting times (adjusted OR, 4.42; 95% CI, 2.22, 8.79) had an increased prefrailty risk. CONCLUSIONS Having no regular leisure-time physical activity or longer sitting times is associated with a higher risk of prefrailty. For sedentary older adults to prevent prefrailty, they can become more active, sit less or better yet, commit to both.
Collapse
Affiliation(s)
- Shu-Hung Chang
- Graduate Institute of Gerontology and Health Care Management, Geriatric and Long-Term Care Research Center, Chang Gung University of Science and Technology, Taoyuan, Taiwan.,Department of Gastroenterology and Hepatology, Chang Gung Medical Foundation, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Nai-Hui Chien
- School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.,Department of Nursing, Chang Gung University of Science and Technology, Taoyuan, Taiwan
| | - Jackson Pui-Man Wai
- Graduate Institute of Sport Science, National Taiwan Sport University, Taoyuan, Taiwan
| | - Ching-Cheng Chiang
- Graduate Institute of Gerontology and Health Care Management, Chang Gung University of Science and Technology, Taoyuan, Taiwan
| | - Ching-Yi Yu
- Department of Social Service, Chang Gung Medical Foundation, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| |
Collapse
|
8
|
Cost-Effectiveness and Return-on-Investment of the Dynamic Work Intervention Compared With Usual Practice to Reduce Sedentary Behavior. J Occup Environ Med 2020; 62:e449-e456. [PMID: 32541620 DOI: 10.1097/jom.0000000000001930] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To assess the cost-effectiveness and return-on-investment (ROI) of the Dynamic Work (DW) Intervention, a worksite intervention aimed at reducing sitting time among office workers. METHODS In total, 244 workers were randomized to the intervention or control group. Overall sitting time, standing time, step counts, quality-adjusted life years (QALYs), and costs were measured over 12 months. The cost-effectiveness analysis was performed from the societal perspective and the ROI analysis from the employers' perspective. RESULTS No significant differences in effects and societal costs were observed between groups. Presenteeism costs were significantly lower in the intervention group. The probability of the intervention being cost-effective was 0.90 at a willingness-to-pay of 20,000&OV0556;/QALY. The probability of financial savings was 0.86. CONCLUSION The intervention may be considered cost-effective from the societal perspective depending on the willingness-to-pay. From the employer perspective, the intervention seems cost-beneficial.
Collapse
|
9
|
Renaud LR, Jelsma JGM, Huysmans MA, van Nassau F, Lakerveld J, Speklé EM, Bosmans JE, Stijnman DPM, Loyen A, van der Beek AJ, van der Ploeg HP. Effectiveness of the multi-component dynamic work intervention to reduce sitting time in office workers - Results from a pragmatic cluster randomised controlled trial. APPLIED ERGONOMICS 2020; 84:103027. [PMID: 31987512 DOI: 10.1016/j.apergo.2019.103027] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/15/2019] [Accepted: 12/02/2019] [Indexed: 06/10/2023]
Abstract
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.
Collapse
Affiliation(s)
- Lidewij R Renaud
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands.
| | - Judith G M Jelsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| | - Maaike A Huysmans
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| | - Femke van Nassau
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam UMC, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands; Global Geo Health Data Center, Utrecht University, Utrecht, the Netherlands
| | - Erwin M Speklé
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands; Arbo Unie, Occupational Health Service, Utrecht, the Netherlands
| | - Judith E Bosmans
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, the Netherlands
| | - Dominique P M Stijnman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Pediatrics, Amsterdam Cardiovascular Sciences Institute, the Netherlands
| | - Anne Loyen
- National Institute for Public Health and the Environment, Centre for Nutrition, Prevention and Health Services, Bilthoven, the Netherlands
| | - Allard J van der Beek
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| | - Hidde P van der Ploeg
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health, Amsterdam Public Health Research Institute, the Netherlands
| |
Collapse
|