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Parés-Salomón I, Señé-Mir AM, Martín-Bozas F, Loef B, Coffey A, Dowd KP, Jabardo-Camprubí G, Proper KI, Puig-Ribera A, Bort-Roig J. Effectiveness of workplace interventions with digital elements to reduce sedentary behaviours in office employees: a systematic review and meta-analysis. Int J Behav Nutr Phys Act 2024; 21:41. [PMID: 38641816 PMCID: PMC11031993 DOI: 10.1186/s12966-024-01595-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 04/14/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND Digital interventions are potential tools for reducing and limiting occupational sedentary behaviour (SB) in sedentary desk-based jobs. Given the harmful effects of sitting too much and sitting for too long while working, the aim of this systematic review and meta-analysis was to examine the effectiveness of workplace interventions, that incorporated digital elements, to reduce the time spent in SB in office workers. METHODS Randomised control trials that evaluated the implementation of workplace interventions that incorporated digital elements for breaking and limiting SB among desk-based jobs were identified by literature searches in six electronic databases (PubMed, Web of Science, Scopus, CINAHL, PsycINFO and PEDro) published up to 2023. Studies were included if total and/or occupational SB were assessed. Only studies that reported pre- and postintervention mean differences and standard deviations or standard errors for both intervention arms were used for the meta-analysis. The meta-analysis was conducted using Review Manager 5 (RevMan 5; Cochrane Collaboration, Oxford, UK). Risk of bias was assessed using the Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields QUALSYST tool. RESULTS Nineteen studies were included in the systematic review. The most employed digital elements were information delivery and mediated organisational support and social influences. Multicomponent, information, and counselling interventions measuring total and/or occupational/nonoccupational SB time by self-report or via device-based measures were reported. Multicomponent interventions were the most represented. Eleven studies were included in the meta-analysis, which presented a reduction of 29.9 (95% CI: -45.2, -14.5) min/8 h workday in SB (overall effect: Z = 3.81). CONCLUSIONS Multicomponent interventions, using a wide range of digital features, have demonstrated effectiveness in reducing time spent in SB at the workplace among desk-based employees. However, due to hybrid work (i.e., work in the office and home) being a customary mode of work for many employees, it is important for future studies to assess the feasibility and effectiveness of these interventions in the evolving work landscape. TRIAL REGISTRATION The review protocol was registered in the Prospero database (CRD42022377366).
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Affiliation(s)
- Iris Parés-Salomón
- Sports and Physical Activity Research Group, Institute for Research and Innovation in Life and Health Sciences in Central Catalonia (Iris-CC) and University of Vic - Central University of Catalonia (UVic-UCC), Vic, Spain
| | - Anna M Señé-Mir
- Sports and Physical Activity Research Group, Sport and Physical Activity Studies Centre, University of Vic - Central University of Catalonia (UVic-UCC), Vic, Spain.
| | | | - Bette Loef
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Alan Coffey
- SHE Research Group, Department of Sport and Health Sciences, Technological University of the Shannon, Athlone, Ireland
| | - Kieran P Dowd
- SHE Research Group, Department of Sport and Health Sciences, Technological University of the Shannon, Athlone, Ireland
| | - Guillem Jabardo-Camprubí
- Sports and Physical Activity Research Group, Institute for Research and Innovation in Life and Health Sciences in Central Catalonia (Iris-CC) and Faculty of Health Science at Manresa, University of Vic-Central University of Catalonia, Manresa, Spain
| | - Karin I Proper
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Anna Puig-Ribera
- Sports and Physical Activity Research Group, Institute for Research and Innovation in Life and Health Sciences in Central Catalonia (Iris-CC) and University of Vic - Central University of Catalonia (UVic-UCC), Vic, Spain
| | - Judit Bort-Roig
- Sports and Physical Activity Research Group, Institute for Research and Innovation in Life and Health Sciences in Central Catalonia (Iris-CC) and University of Vic - Central University of Catalonia (UVic-UCC), Vic, Spain
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Zhou L, Deng X, Xu M, Wu Y, Shang X, E F, Wang Y, Liang S, Yang K, Li X. The effects of active workstations on reducing work-specific sedentary time in office workers: a network meta-analysis of 23 randomized controlled trials. Int J Behav Nutr Phys Act 2023; 20:92. [PMID: 37501138 PMCID: PMC10375647 DOI: 10.1186/s12966-023-01467-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 05/18/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Active workstations have been proposed as a feasible approach for reducing occupational sedentary time. This study used a network meta-analysis (NMA) to assess and compare the overall efficacy of active workstation interventions according to type and concomitant strategy for reducing work-specific sitting time in office workers. METHODS PubMed, Web of Science, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched from database inception until May 2022 to obtain randomized controlled trials (RCTs) assessing the efficacy of active workstations with or without concomitant strategies for reducing occupational sedentary time in office workers. The risk of bias of the RCTs included in this study was assessed according to the Cochrane Handbook. An NMA with STATA 15.1 was used to construct a network diagram, league figures, and the final surface under the cumulative ranking curve (SUCRA) values. The certainty of evidence was assessed using the grading of recommendations, assessment, development, and evaluation (GRADE) approach. RESULTS A total of 23 eligible studies including eight different types of interventions with 1428 office workers were included. NMA results showed that compared to a typical desk, multicomponent intervention (standardized mean difference (SMD) = - 1.50; 95% confidence interval (CI) - 2.17, - 0.82; SUCRA = 72.4%), sit-stand workstation + promotion (Reminders of rest breaks, posture variation, or incidental office activity) (SMD = - 1.49; 95%CI - 2.42, - 0.55; SUCRA = 71.0%), treadmill workstation + promotion (SMD = - 1.29; 95%CI - 2.51, - 0.07; SUCRA = 61.6%), and sit-stand workstation (SMD = - 1.10, 95%CI - 1.64, - 0.56; SUCRA = 50.2%) were effective in reducing occupational sedentary time for office workers. CONCLUSIONS Multicomponent intervention, sit-stand workstation + promotion, treadmill workstation + promotion, and sit-stand workstation appear to be effective in reducing work-specific sedentary time for office workers. Furthermore, multicomponent interventions and active workstations + promotion better reduced work-specific sedentary time than active workstation alone. However, the overall certainty of the evidence was low. TRIAL REGISTRATION Our study protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO); registration number: CRD42022344432.
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Affiliation(s)
- Liying Zhou
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Xinxin Deng
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Meng Xu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Yanan Wu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Xue Shang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Fenfen E
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Yongsheng Wang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Shanshan Liang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
| | - Kehu Yang
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China.
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China.
| | - Xiuxia Li
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China.
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, 199 Donggang West Road, Lanzhou, 730000, China.
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China.
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Zhou L, Deng X, Guo K, Hou L, Hui X, Wu Y, Xu M, Wang Y, Liang S, Yang K, Li X. Effectiveness of Multicomponent Interventions in Office-Based Workers to Mitigate Occupational Sedentary Behavior: Systematic Review and Meta-Analysis. JMIR Public Health Surveill 2023; 9:e44745. [PMID: 37494100 PMCID: PMC10413238 DOI: 10.2196/44745] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 04/12/2023] [Accepted: 05/24/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND Sedentary time in workplaces has been linked to increased risks of chronic occupational diseases, obesity, and overall mortality. Currently, there is a burgeoning research interest in the implementation of multicomponent interventions aimed at decreasing sedentary time among office workers, which encompass a comprehensive amalgamation of individual, organizational, and environmental strategies. OBJECTIVE This meta-analysis aims at evaluating the effectiveness of multicomponent interventions to mitigate occupational sedentary behavior at work compared with no intervention. METHODS PubMed, Web of Science, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched from database inception until March 2023 to obtain randomized controlled trials (RCTs) assessing the efficacy of multicomponent interventions on occupational sedentary behavior among office-based workers. Two reviewers independently extracted the data and assessed the risk of bias by using the Cochrane Collaboration's risk of bias tool. The average intervention effect on sedentary time was calculated using Stata 15.1. Mean differences (MDs) with 95% CIs were used to calculate the continuous variables. Subgroup analyses were performed to determine whether sit-stand workstation, feedback, and prompt elements played an important role in multicomponent interventions. Further, the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) system was used to evaluate the certainty of evidence. RESULTS A total of 11 RCTs involving 1894 patients were included in the analysis. Five studies were rated as low risk of bias, 2 as unclear risk of bias, and 4 as high risk. The meta-analysis results showed that compared with no intervention, multicomponent interventions significantly reduced occupational sitting time (MD=-52.25 min/8-h workday, 95% CI -73.06 to -31.44; P<.001) and occupational prolonged sitting time (MD=-32.63 min/8-h workday, 95% CI -51.93 to -13.33; P=.001) and increased occupational standing time (MD=44.30 min/8-h workday, 95% CI 23.11-65.48; P<.001), whereas no significant differences were found in occupational stepping time (P=.06). The results of subgroup analysis showed that compared with multicomponent interventions without installment of sit-stand workstations, multicomponent interventions with sit-stand workstation installment showed better effects for reducing occupational sitting time (MD=-71.95 min/8-h workday, 95% CI -92.94 to -51.15), increasing occupational standing time (MD=66.56 min/8-h workday, 95% CI 43.45-89.67), and reducing occupational prolonged sitting time (MD=-47.05 min/8-h workday, 95% CI -73.66 to -20.43). The GRADE evidence summary showed that all 4 outcomes were rated as moderate certainty. CONCLUSIONS Multicomponent interventions, particularly those incorporating sit-stand workstations for all participants, are effective at reducing workplace sedentary time. However, given their cost, further research is needed to understand the effectiveness of low-cost/no-cost multicomponent interventions.
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Affiliation(s)
- Liying Zhou
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xinxin Deng
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Kangle Guo
- Infection Management Section, Gansu Provincial Hospital, Lanzhou, China
| | - Liangying Hou
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xu Hui
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Yanan Wu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Meng Xu
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Yongsheng Wang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Shanshan Liang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Kehu Yang
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xiuxia Li
- Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
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van de Wijdeven B, Visser B, Daams J, Kuijer PP. A first step towards a framework for interventions for individual working practice to prevent work-related musculoskeletal disorders: a scoping review. BMC Musculoskelet Disord 2023; 24:87. [PMID: 36726094 PMCID: PMC9890723 DOI: 10.1186/s12891-023-06155-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 01/10/2023] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Work-related musculoskeletal disorders (WMSDs) are a key topic in occupational health. In the primary prevention of these disorders, interventions to minimize exposure to work-related physical risk factors are widely advocated. Besides interventions aimed at the work organisation and the workplace, interventions are also aimed at the behaviour of workers, the so-called individual working practice (IWP). At the moment, no conceptual framework for interventions for IWP exists. This study is a first step towards such a framework. METHODS A scoping review was carried out starting with a systematic search in Ovid Medline, Ovid Embase, Ovid APA PsycInfo, and Web of Science. Intervention studies aimed at reducing exposure to physical ergonomic risk factors involving the worker were included. The content of these interventions for IWP was extracted and coded in order to arrive at distinguishing and overarching categories of these interventions for IWP. RESULTS More than 12.000 papers were found and 110 intervention studies were included, describing 810 topics for IWP. Eventually eight overarching categories of interventions for IWP were distinguished: (1) Workplace adjustment, (2) Variation, (3) Exercising, (4) Use of aids, (5) Professional skills, (6) Professional manners, (7) Task content & task organisation and (8) Motoric skills. CONCLUSION Eight categories of interventions for IWP are described in the literature. These categories are a starting point for developing and evaluating effective interventions performed by workers to prevent WMSDs. In order to reach consensus on these categories, an international expert consultation is a necessary next step.
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Affiliation(s)
- Bert van de Wijdeven
- Public and Occupational Health, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, K0-116 1105 AZ Amsterdam, The Netherlands
| | - Bart Visser
- Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands
| | - Joost Daams
- Public and Occupational Health, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, K0-116 1105 AZ Amsterdam, The Netherlands
| | - Paul P.F.M. Kuijer
- Public and Occupational Health, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, K0-116 1105 AZ Amsterdam, The Netherlands
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De Carvalho D, Callaghan JP. Does a break from sitting change biomechanical outcome measures or transient pain? A laboratory-based experimental study. Work 2023:WOR211266. [PMID: 36641712 DOI: 10.3233/wor-211266] [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: 01/12/2023] Open
Abstract
BACKGROUND Sitting can induce transient low back pain (LBP) in healthy individuals. A rest from sitting should provide relief, however, the parameters of breaks (activity type, intensity, duration, and timing) are not currently known. OBJECTIVE The purpose of this study was to examine the effect of 2-minute walking breaks at 40-minute intervals on sitting-induced LBP. METHODS Thirty-two healthy participants were recruited for a within-control study: two randomly presented sessions of sitting for 2 hours with and without breaks. Outcome measures were compared between condition and pain group using a three-way ANOVA with significance atp > 0.05. RESULTS Walking breaks at 40-minute intervals result in significantly lower pain ratings than those taken immediately before the break for sitting-induced back pain developers. However, this relief is short lived (<10 minutes), with ratings increasing to pre-break levels once the sitting exposure resumes. There were no differences in biomechanical factors between sessions. Regardless of session type, pain developers displayed higher spine fidget frequency than non-pain developers, females sat with less spine flexion, with greater gluteal activation levels, and with their center of pressure approximately half a centimeter to the left and forward compared to males, and males had significantly greater peak pressures over a smaller area compared to females. CONCLUSION Walking breaks at 40-minute intervals provide significant, but temporary, relief of sitting-induced back pain for pain developers. Future work should optimize break parameters and examine the longer-term benefit of breaks, especially for individuals that are not able to tolerate sitting for extended durations.
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Affiliation(s)
- D De Carvalho
- Faculty of Medicine,Memorial University of Newfoundland, St. John's, NL, Canada
| | - J P Callaghan
- Department of Kinesiology, Faculty of Applied Health Sciences,University of Waterloo, Waterloo, ON, Canada
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Pollard B, Van Buskirk J, Engelen L, Held F, de Dear R. How many days of indoor positioning system data are required to characterise typical movement behaviours of office workers? APPLIED ERGONOMICS 2023; 106:103915. [PMID: 36208499 DOI: 10.1016/j.apergo.2022.103915] [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: 02/27/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Indoor Positioning Systems (IPS) appear to offer great potential to study the movement and interaction of people and their working environment, including office workplaces. But little is known about appropriate durations for data collection. In this study, location observations collected from 24 office workers on a 1220 m2 office floor over a 3-month period, were analysed to determine how many days are required to estimate their typical movement and spatial behaviours. The analysis showed that up to 8 days of data was sufficient to characterise participants' typical daily movement behaviours and 10 days were required to estimate their typical spatial mobility. However, the results also indicate that 5 weeks of data collection are required to gather the necessary 10 days of data from each participant. These findings will help researchers and workplace professionals to understand the capabilities and requirements of IPS when considering their use in indoor work environments.
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Affiliation(s)
- Brett Pollard
- The University of Sydney, School of Public Health, Prevention Research Collaboration and Charles Perkins Centre, Sydney, 2006, Australia.
| | - Joe Van Buskirk
- The University of Sydney, School of Public Health, Prevention Research Collaboration and Charles Perkins Centre, Sydney, 2006, Australia
| | - Lina Engelen
- The University of Sydney, School of Public Health, Prevention Research Collaboration and Charles Perkins Centre, Sydney, 2006, Australia
| | - Fabian Held
- The University of Sydney, Office of the Deputy Vice-Chancellor (Education) - Enterprise and Engagement and Charles Perkins Centre, Sydney, 2006, Australia
| | - Richard de Dear
- The University of Sydney, Indoor Environmental Quality Laboratory, School of Architecture, Design and Planning, Sydney, 2006, Australia
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Arnold L, Harris K, Weale V. A scoping review of workplace health promotion interventions for chronic diseases in Australia. J Occup Health 2023; 65:e12417. [PMID: 37443451 PMCID: PMC10345237 DOI: 10.1002/1348-9585.12417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 06/01/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
OBJECTIVE The aim of this study is to systematically chart and summarize the literature pertaining to workplace health promotion (WHP) interventions targeting the five main modifiable lifestyle risk factors for chronic disease, including smoking, nutrition, alcohol, physical activity, overweight/obesity (SNAPO) in Australian workers. METHODS A scoping review was performed using the framework of Arksey and O'Malley. MEDLINE, EMBASE, CINAHL, and SCOPUS were searched to identify peer-reviewed publications that evaluated primary or secondary WHP interventions which targeted one or more modifiable risk factor (SNAPO). RESULTS A total of fifty-six articles were included in the review. The findings revealed a heterogeneous nature of WHP intervention design and evaluation. The majority of the interventions focussed on physical activity, with fewer targeting the other four main modifiable risk factors. Health care and white-collar workers were most frequently targeted, with less attention paid to other worker groups. The review also found that many interventions had a duration of three months or less. CONCLUSIONS Significant gaps have been identified in relation to the occupational role, risk factors targeted, and intervention length. This review also highlights the need for further research to be conducted to determine the efficacy of interventions to facilitate the development of a framework for WHP interventions to reduce the risk and prevalence of chronic disease.
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Affiliation(s)
- Leonie Arnold
- Centre for Ergonomics and Human FactorsLa Trobe UniversityBundooraVictoriaAustralia
| | - Katherine Harris
- Centre for Ergonomics and Human FactorsLa Trobe UniversityBundooraVictoriaAustralia
| | - Victoria Weale
- Centre for Ergonomics and Human FactorsLa Trobe UniversityBundooraVictoriaAustralia
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Zipfel N, Horreh B, Hulshof CTJ, de Boer AGEM, van der Burg-Vermeulen SJ. The relationship between the living lab approach and successful implementation of healthcare innovations: an integrative review. BMJ Open 2022; 12:e058630. [PMID: 35768105 PMCID: PMC9240880 DOI: 10.1136/bmjopen-2021-058630] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES The concept of living labs as a research method to enhance participation of end-users in the development and implementation process of an innovation, gained increasing attention over the past decade. A living lab can be characterised by five key components: user-centric, cocreation, real-life context, test innovation and open innovation. The purpose of this integrative literature review was to summarise the literature on the relationship between the living lab approach and successful implementation of healthcare innovations. METHODS An integrative literature review searching PubMed, EMBASE, PsycINFO and Cinahl databases between January 2000 and December 2019. Studies were included when a living lab approach was used to implement innovations in healthcare and implementation outcomes were reported. Included studies evaluated at least one of the following implementation outcomes: acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration or sustainability. Quality was assessed based on a tool developed by Hawker et al. RESULTS Of the 1173 retrieved articles, 30 studies were included of which 11 of high quality. Most studies involved a combination of patients/public (N=23) and providers (N=17) as key stakeholders in the living lab approach. Living lab components were mostly applied in the development phase of innovations (N=21). The majority of studies reported on achievement of acceptability (N=22) and feasibility (N=17) in terms of implementation outcomes. A broader spectrum of implementation outcomes was only evaluated in one study. We found that in particular six success factors were mentioned for the added-value of using living lab components for healthcare innovations: leadership, involvement, timing, openness, organisational support and ownership. CONCLUSIONS The living lab approach showed to contribute to successful implementation outcomes. This integrative review suggests that using a living lab approach fosters collaboration and participation in the development and implementation of new healthcare innovations. PROSPERO REGISTRATION NUMBER CRD42020166895.
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Affiliation(s)
- Nina Zipfel
- Department of Public and Occupational Health, Coronel Institute of Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Bedra Horreh
- Department of Public and Occupational Health, Coronel Institute of Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Carel T J Hulshof
- Department of Public and Occupational Health, Coronel Institute of Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Angela G E M de Boer
- Department of Public and Occupational Health, Coronel Institute of Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Sylvia J van der Burg-Vermeulen
- Department of Public and Occupational Health, Coronel Institute of Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
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Chastin S, Gardiner PA, Harvey JA, Leask CF, Jerez-Roig J, Rosenberg D, Ashe MC, Helbostad JL, Skelton DA. Interventions for reducing sedentary behaviour in community-dwelling older adults. Cochrane Database Syst Rev 2021; 6:CD012784. [PMID: 34169503 PMCID: PMC8225503 DOI: 10.1002/14651858.cd012784.pub2] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Older adults are the most sedentary segment of society, often spending in excess of 8.5 hours a day sitting. Large amounts of time spent sedentary, defined as time spend sitting or in a reclining posture without spending energy, has been linked to an increased risk of chronic diseases, frailty, loss of function, disablement, social isolation, and premature death. OBJECTIVES To evaluate the effectiveness of interventions aimed at reducing sedentary behaviour amongst older adults living independently in the community compared to control conditions involving either no intervention or interventions that do not target sedentary behaviour. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, PsycINFO, PEDro, EPPI-Centre databases (Trials Register of Promoting Health Interventions (TRoPHI) and the Obesity and Sedentary behaviour Database), WHO ICTRP, and ClinicalTrials.gov up to 18 January 2021. We also screened the reference lists of included articles and contacted authors to identify additional studies. SELECTION CRITERIA We included randomised controlled trials (RCTs) and cluster-RCTs. We included interventions purposefully designed to reduce sedentary time in older adults (aged 60 or over) living independently in the community. We included studies if some of the participants had multiple comorbidities, but excluded interventions that recruited clinical populations specifically (e.g. stroke survivors). DATA COLLECTION AND ANALYSIS Two review authors independently screened titles and abstracts and full-text articles to determine study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. Any disagreements in study screening or data extraction were settled by a third review author. MAIN RESULTS We included seven studies in the review, six RCTs and one cluster-RCT, with a total of 397 participants. The majority of participants were female (n = 284), white, and highly educated. All trials were conducted in high-income countries. All studies evaluated individually based behaviour change interventions using a combination of behaviour change techniques such as goal setting, education, and behaviour monitoring or feedback. Four of the seven studies also measured secondary outcomes. The main sources of bias were related to selection bias (N = 2), performance bias (N = 6), blinding of outcome assessment (N = 2), and incomplete outcome data (N = 2) and selective reporting (N=1). The overall risk of bias was judged as unclear. Primary outcomes The evidence suggests that interventions to change sedentary behaviour in community-dwelling older adults may reduce sedentary time (mean difference (MD) -44.91 min/day, 95% confidence interval (CI) -93.13 to 3.32; 397 participants; 7 studies; I2 = 73%; low-certainty evidence). We could not pool evidence on the effect of interventions on breaks in sedentary behaviour or time spent in specific domains such as TV time, as data from only one study were available for these outcomes. Secondary outcomes We are uncertain whether interventions to reduce sedentary behaviour have any impact on the physical or mental health outcomes of community-dwelling older adults. We were able to pool change data for the following outcomes. • Physical function (MD 0.14 Short Physical Performance Battery (SPPB) score, 95% CI -0.38 to 0.66; higher score is favourable; 98 participants; 2 studies; I2 = 26%; low-certainty evidence). • Waist circumference (MD 1.14 cm, 95% CI -1.64 to 3.93; 100 participants; 2 studies; I2 = 0%; low-certainty evidence). • Fitness (MD -5.16 m in the 6-minute walk test, 95% CI -36.49 to 26.17; higher score is favourable; 80 participants; 2 studies; I2 = 29%; low-certainty evidence). • Blood pressure: systolic (MD -3.91 mmHg, 95% CI -10.95 to 3.13; 138 participants; 3 studies; I2 = 73%; very low-certainty evidence) and diastolic (MD -0.06 mmHg, 95% CI -5.72 to 5.60; 138 participants; 3 studies; I2 = 97%; very low-certainty evidence). • Glucose blood levels (MD 2.20 mg/dL, 95% CI -6.46 to 10.86; 100 participants; 2 studies; I2 = 0%; low-certainty evidence). No data were available on cognitive function, cost-effectiveness or adverse effects. AUTHORS' CONCLUSIONS It is not clear whether interventions to reduce sedentary behaviour are effective at reducing sedentary time in community-dwelling older adults. We are uncertain if these interventions have any impact on the physical or mental health of community-dwelling older adults. There were few studies, and the certainty of the evidence is very low to low, mainly due to inconsistency in findings and imprecision. Future studies should consider interventions aimed at modifying the environment, policy, and social and cultural norms. Future studies should also use device-based measures of sedentary time, recruit larger samples, and gather information about quality of life, cost-effectiveness, and adverse event data.
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Affiliation(s)
- Sebastien Chastin
- School of Health & Life Sciences, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, UK
- Department of Movement and Sports Sciences, Ghent University, Gent, Belgium
| | - Paul A Gardiner
- School of Health & Wellbeing, University of Southern Queensland, Ipswich, Australia
- Centre for Health Services Research, The University of Queensland, Brisbane, Australia
| | - Juliet A Harvey
- School of Health & Life Sciences, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, UK
| | - Calum F Leask
- Aberdeen City Health & Social Care Partnership, Aberdeen, UK
| | - Javier Jerez-Roig
- Department of Social Sciences and Community Health, Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O). Faculty of Health Sciences and Welfare. Centre for Health and Social Care Research (CESS). University of Vic-Central University of Catalonia, Vic, Spain
| | - Dori Rosenberg
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Maureen C Ashe
- Centre for Hip Health and Mobility, Department of Family Practice, The University of British Columbia, Vancouver, Canada
| | - Jorunn L Helbostad
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Dawn A Skelton
- School of Health & Life Sciences, Institute of Applied Health Research, Glasgow Caledonian University, Glasgow, UK
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Understanding the Office: Using Ecological Momentary Assessment to Measure Activities, Posture, Social Interactions, Mood, and Work Performance at the Workplace. BUILDINGS 2019. [DOI: 10.3390/buildings9020054] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Studying the workplace often involves using observational, self-report recall, or focus group tools, which all have their established advantages and disadvantages. There is, however, a need for a readily available, low-invasive method that can provide longitudinal, repeated, and concurrent in-the-moment information to understand the workplace well. In this study, ecological momentary assessment (EMA) was used to collect 508 real-time responses about activities, posture, work performance, social interactions, and mood in 64 adult office workers in three Australian workplaces. The response rate was 53%, and the time to fill out the survey was 50 seconds on average. On average, the participants were sitting, standing, and walking in 84%, 9%, and 7% of survey instances, respectively. The participants reported they were working alone at their desks in 55% of all reported instances. Reported mood varied up to nine points within one person over the course of the post-occupancy observations. EMA can be used to paint a rich picture of occupants’ experiences and perceptions and to gain invaluable understanding of temporal patterns of the workplace, how the space is used, and how aspects of the workplace interact. This information can be used to make improvements to the physical and social workspaces and enhance occupants’ work performance and mood.
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