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Kenkhuis MF, Klingestijn M, Fanshawe AM, Breukink SO, Janssen-Heijnen MLG, Keulen ETP, Rinaldi S, Vineis P, Gunter MJ, Leitzmann MF, Scalbert A, Weijenberg MP, Bours MJL, van Roekel EH. Longitudinal associations of sedentary behavior and physical activity with body composition in colorectal cancer survivors up to 2 years post treatment. J Cancer Res Clin Oncol 2023; 149:4063-4075. [PMID: 36040665 PMCID: PMC10314855 DOI: 10.1007/s00432-022-04267-9] [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: 06/27/2022] [Accepted: 08/03/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE We investigated longitudinal associations of sedentary behavior, light-intensity physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) with body composition in colorectal cancer (CRC) survivors, between 6 weeks and 24 months post treatment. In addition, we explored whether body composition mediated associations of sedentary behavior and MVPA with fatigue. METHODS A prospective cohort study was conducted in 459 stage I-III CRC patients recruited at diagnosis. Measurements were performed of accelerometer-assessed sedentary time (hours/day), self-reported LPA and MVPA (hours/week), anthropometric assessment of body mass index (BMI), waist circumference and fat percentage (measures of adiposity), and muscle circumference and handgrip strength (measures of muscle mass/function) repeated at 6 weeks, and 6, 12 and 24 months post treatment. Longitudinal associations of sedentary time and physical activity with body composition were analyzed using confounder-adjusted linear mixed models. Mediation analyses were performed to explore the role of body mass index (BMI) and handgrip strength as mediators in associations of sedentary time and MVPA with fatigue. RESULTS Less sedentary time and LPA were, independent of MVPA, longitudinally associated with increased handgrip strength, but not with measures of adiposity. More MVPA was associated with increased adiposity and increased handgrip strength. Higher BMI partly mediated associations between higher sedentary time and more fatigue. CONCLUSION Within the first two years after CRC treatment, changes in sedentary behavior, physical activity and body composition are interrelated and associated with fatigue. Intervention studies are warranted to investigate causality. TRIAL REGISTRATION The EnCoRe study is registered at trialregister.nl as NL6904 (former ID: NTR7099).
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Affiliation(s)
- Marlou-Floor Kenkhuis
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University, P.O. BOX 616, 6200 MD, Maastricht, The Netherlands.
| | - Mo Klingestijn
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University as Part of an Internship, Maastricht University, Maastricht, The Netherlands
| | - Anne-Marie Fanshawe
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University as Part of an Internship, Maastricht University, Maastricht, The Netherlands
| | - Stéphanie O Breukink
- Department of Surgery, GROW School for Oncology and Reproduction, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Maryska L G Janssen-Heijnen
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University, P.O. BOX 616, 6200 MD, Maastricht, The Netherlands
- Department of Clinical Epidemiology, Viecuri Medical Center, Venlo, The Netherlands
| | - Eric T P Keulen
- Department of Internal Medicine and Gastroenterology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands
| | - Sabina Rinaldi
- Nutrition and Metabolism Branch, International Agency for Research On Cancer (IARC-WHO), Lyon, France
| | - Paolo Vineis
- MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
- Italian Institute of Technology, Genoa, Italy
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research On Cancer (IARC-WHO), Lyon, France
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research On Cancer (IARC-WHO), Lyon, France
| | - Matty P Weijenberg
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University, P.O. BOX 616, 6200 MD, Maastricht, The Netherlands
| | - Martijn J L Bours
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University, P.O. BOX 616, 6200 MD, Maastricht, The Netherlands
| | - Eline H van Roekel
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University, P.O. BOX 616, 6200 MD, Maastricht, The Netherlands
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Blackburn NE, Wilson JJ, McMullan II, Caserotti P, Giné-Garriga M, Wirth K, Coll-Planas L, Alias SB, Roqué M, Deidda M, Kunzmann AT, Dallmeier D, Tully MA. The effectiveness and complexity of interventions targeting sedentary behaviour across the lifespan: a systematic review and meta-analysis. Int J Behav Nutr Phys Act 2020; 17:53. [PMID: 32334631 PMCID: PMC7183680 DOI: 10.1186/s12966-020-00957-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 04/13/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Evidence suggests that sedentary behaviour (SB) is associated with poor health outcomes. SB at any age may have significant consequences for health and well-being and interventions targeting SB are accumulating. Therefore, the need to review the effects of multicomponent, complex interventions that incorporate effective strategies to reduce SB are essential. METHODS A systematic review and meta-analysis were conducted investigating the impact of interventions targeting SB across the lifespan. Six databases were searched and two review authors independently screened studies for eligibility, completed data extraction and assessed the risk of bias and complexity of each of the included studies. RESULTS A total of 77 adult studies (n=62, RCTs) and 84 studies (n=62, RCTs) in children were included. The findings demonstrated that interventions in adults when compared to active controls resulted in non-significant reductions in SB, although when compared to inactive controls significant reductions were found in both the short (MD -56.86; 95%CI -74.10, -39.63; n=4632; I2 83%) and medium-to-long term (MD -20.14; 95%CI -34.13, -6.16; n=4537; I2 65%). The findings demonstrated that interventions in children when compared to active controls may lead to relevant reductions in daily sedentary time in the short-term (MD -59.90; 95%CI -102.16, -17.65; n=267; I2 86%), while interventions in children when compared to inactive controls may lead to relevant reductions in the short-term (MD -25.86; 95%CI -40.77, -10.96; n=9480; I2 98%) and medium-to-long term (MD -14.02; 95%CI -19.49, -8.55; n=41,138; I2 98%). The assessment of complexity suggested that interventions may need to be suitably complex to address the challenges of a complex behaviour such as SB, but demonstrated that a higher complexity score is not necessarily associated with better outcomes in terms of sustained long-term changes. CONCLUSIONS Interventions targeting reductions in SB have been shown to be successful, especially environmental interventions in both children and adults. More needs to be known about how best to optimise intervention effects. Future intervention studies should apply more rigorous methods to improve research quality, considering larger sample sizes, randomised controlled designs and valid and reliable measures of SB.
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Affiliation(s)
- Nicole E Blackburn
- Centre for Health and Rehabilitation Technologies, Institute of Nursing and Health Research, School of Health Sciences, Ulster University, Newtownabbey, United Kingdom.
| | - Jason J Wilson
- Centre for Health and Rehabilitation Technologies, Institute of Nursing and Health Research, School of Health Sciences, Ulster University, Newtownabbey, United Kingdom
| | - Ilona I McMullan
- Centre for Health and Rehabilitation Technologies, Institute of Nursing and Health Research, School of Health Sciences, Ulster University, Newtownabbey, United Kingdom
| | - Paolo Caserotti
- Department of Sports Science and Clinical Biomechanics, Center for Active and Healthy Ageing (CAHA), Syddansk Universitet, Odense, Denmark
| | - Maria Giné-Garriga
- Department of Sport Sciences, Faculty of Psychology, Education and Sport Sciences Blanquerna, Universitat Ramon Llull, Barcelona, Spain
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom
| | - Katharina Wirth
- Agaplesion Bethesda Clinic Ulm, Geriatric Centre Ulm/Alb-Donau, Ulm, Germany
- Department of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Laura Coll-Planas
- Fundació Salut i Envelliment-Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Research Institute Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Sergi Blancafort Alias
- Fundació Salut i Envelliment-Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Research Institute Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Marta Roqué
- Fundació Salut i Envelliment-Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Research Institute Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Manuela Deidda
- Health Economics and Health Technology Assessment (HEHTA), Institute of Health and Wellbeing (IHW), University of Glasgow, Glasgow, United Kingdom
| | - Andrew T Kunzmann
- School of Medicine, Dentistry and Biomedical Sciences, Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom
| | - Dhayana Dallmeier
- Agaplesion Bethesda Clinic Ulm, Geriatric Centre Ulm/Alb-Donau, Ulm, Germany
- Department of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Mark A Tully
- Centre for Health and Rehabilitation Technologies, Institute of Nursing and Health Research, School of Health Sciences, Ulster University, Newtownabbey, United Kingdom
- Institute of Mental Health Sciences, School of Health Sciences, Ulster University, Newtownabbey, United Kingdom
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Stephens SK, Winkler EAH, Eakin EG, Clark BK, Owen N, Moodie M, La Montagne AD, Dunstan DW, Healy GN. Temporal features of sitting, standing and stepping changes in a cluster-randomised controlled trial of a workplace sitting-reduction intervention. Int J Behav Nutr Phys Act 2019; 16:111. [PMID: 31752916 PMCID: PMC6873403 DOI: 10.1186/s12966-019-0879-1] [Citation(s) in RCA: 10] [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: 08/08/2019] [Accepted: 11/06/2019] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND There is now a body of evidence on the effectiveness of interventions to reduce workplace sitting time. However, there has been limited reporting of how such interventions may impact behaviour both during and outside of work. Sitting, standing and stepping changes following a workplace intervention were examined across five timeframes (work time on work days; non-work time on work days; work days; non-work days; overall (i.e. work and non-work time on all days)), and the relationships between changes during and outside of work was assessed. METHODS The cluster-randomised controlled trial, 'Stand Up Victoria', delivered a multi-component workplace-delivered intervention that successfully reduced workplace and overall sitting time (relative to controls). Separately, over the five timeframes, changes in device (activPAL3)-assessed outcomes - sitting; prolonged sitting (≥30 min bouts); standing; and, stepping - were compared between intervention (n = 114) and controls (n = 84), along with the time-course of sitting changes during work hours, using mixed models. The potential relationships of changes during work with changes outside of work were examined using compositional data analysis. RESULTS On workdays, intervention participants significantly (p < 0.05) improved their activity profile relative to controls, with reduced sitting (- 117 min/8-h workday, 95% CI: - 141, - 93) and prolonged sitting (- 77 min/8 h workday, 95% CI: - 101, - 52); increased standing (114 min/8 h workday, 95% CI: 92, 136) and maintenance of stepping (3 min/8 h workday, 95% CI: - 7, 11, p = 0.576). Effects were nearly identical for time at work; similar but slightly weaker for overall; and, small and non-significant outside of work on workdays and non-work days. Improvements occurred at all times, but not equally, during work hours (p < 0.001). Correlations between changes during and outside of work on workdays were very weak in both the intervention group (r = - 0.07) and controls (r = - 0.09). CONCLUSIONS Sitting time was reduced almost exclusively during work hours (via replacement with standing), with reductions evident during all working hours, to varying degrees. There was no evidence of compensation, with minimal change in activity outside of work, in response to changes in activity at work. Future interventions may benefit from exploring how best to elicit change throughout the whole day, and across work and non-work domains. TRIAL REGISTRATION This trial was prospectively registered with the Australian New Zealand Clinical Trials register (ACTRN12611000742976) on 15 July 2011.
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Affiliation(s)
- Samantha K. Stephens
- School of Public Health, The University of Queensland, Herston Road, Herston, Brisbane, QLD 4006 Australia
| | - Elisabeth A. H. Winkler
- School of Public Health, The University of Queensland, Herston Road, Herston, Brisbane, QLD 4006 Australia
| | - Elizabeth G. Eakin
- School of Public Health, The University of Queensland, Herston Road, Herston, Brisbane, QLD 4006 Australia
| | - Bronwyn K. Clark
- School of Public Health, The University of Queensland, Herston Road, Herston, Brisbane, QLD 4006 Australia
| | - Neville Owen
- Baker Heart & Diabetes Institute, Melbourne, Australia
- Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia
| | - Marj Moodie
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Anthony D. La Montagne
- Work, Health & Wellbeing Unit, Centre for Population Health Research, Deakin University, Geelong, Australia
| | - David W. Dunstan
- School of Public Health, The University of Queensland, Herston Road, Herston, Brisbane, QLD 4006 Australia
- Baker Heart & Diabetes Institute, Melbourne, Australia
- Mary MacKillop Institute for Health Research, Australian Catholic University, Brisbane, Australia
- School of Sport Science, Exercise & Health, University of Western Australia, Perth, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia
| | - Genevieve N. Healy
- School of Public Health, The University of Queensland, Herston Road, Herston, Brisbane, QLD 4006 Australia
- Baker Heart & Diabetes Institute, Melbourne, Australia
- School of Physiotherapy, Faculty of Health Sciences, Curtin University, Perth, Australia
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Johnston V, Gane EM, Brown W, Vicenzino B, Healy GN, Gilson N, Smith MD. Feasibility and impact of sit-stand workstations with and without exercise in office workers at risk of low back pain: A pilot comparative effectiveness trial. APPLIED ERGONOMICS 2019; 76:82-89. [PMID: 30642528 DOI: 10.1016/j.apergo.2018.12.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 12/06/2018] [Accepted: 12/08/2018] [Indexed: 06/09/2023]
Abstract
The aim of this study was to compare the feasibility and impact of sit-stand workstations plus advice, with or without exercise, on back pain and sitting time in office workers at risk of low back pain (LBP). Eligible participants (n = 29/169; 17% overall) were randomized to receive a sit-stand workstation and advice with (n = 16) or without (n = 13) progressive resistance exercise training for 4-weeks. Feasibility (recruitment, acceptability, adherence) and impact (LBP severity during a standardized standing task, workplace-sitting time) were assessed. Intervention acceptability (87.5% very satisfied) was good and adherence (60% completed all 12 exercise sessions) was satisfactory. Maximum LBP severity (mean difference of -1.3 (-2.0, -0.6) and workplace sitting time (82.7-99.3 min/8-hr workday reduction) were similarly reduced in both groups. The introduction of a sit-stand workstation with advice was feasible and achieved similar outcomes for LBP and workplace sitting time when administered with or without exercise.
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Affiliation(s)
- Venerina Johnston
- RECOVER Injury Research Centre, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia; Division of Physiotherapy, School of Health and Rehabilitation Sciences, Therapies Building, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia.
| | - Elise M Gane
- Division of Physiotherapy, School of Health and Rehabilitation Sciences, Therapies Building, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia; Centre for Functioning and Health Research, Metro South Health Hospital and Health Service, P.O. Box 6053, Buranda, Brisbane, QLD, 4102, Australia
| | - Wendy Brown
- School of Human Movement and Nutrition Sciences, Human Movement Studies Building, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia
| | - Bill Vicenzino
- Division of Physiotherapy, School of Health and Rehabilitation Sciences, Therapies Building, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia
| | - Genevieve N Healy
- School of Public Health, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia; School of Physiotherapy and Exercise Science, Curtin University, Western Australia, Australia
| | - Nicholas Gilson
- School of Human Movement and Nutrition Sciences, Human Movement Studies Building, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia
| | - Michelle D Smith
- Division of Physiotherapy, School of Health and Rehabilitation Sciences, Therapies Building, The University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia
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5
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Measuring Time in the Office Using Bluetooth Sensors: Feasibility and Validity Considerations. ACTA ACUST UNITED AC 2019. [DOI: 10.1123/jmpb.2018-0046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Huang Y, Benford S, Blake H. Digital Interventions to Reduce Sedentary Behaviors of Office Workers: Scoping Review. J Med Internet Res 2019; 21:e11079. [PMID: 30730294 PMCID: PMC6383116 DOI: 10.2196/11079] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/30/2018] [Accepted: 09/12/2018] [Indexed: 12/22/2022] Open
Abstract
Background There is a clear public health need to reduce office workers’ sedentary behaviors (SBs), especially in the workplace. Digital technologies are increasingly being deployed in the workplace to measure and modify office workers’ SBs. However, knowledge of the range and nature of research on this topic is limited; it also remains unclear to what extent digital interventions have exploited the technological possibilities. Objective This study aimed to investigate the technological landscape of digital interventions for SB reduction in office workers and to map the research activity in this field. Methods Terms related to SB, office worker, and digital technology were applied in various combinations to search Cochrane Library, Joanna Briggs Institute Database of Systematic Reviews, MEDLINE, PsycARTICLES, PsycINFO, Scopus, Association for Computing Machinery Digital Library, Engineering index Compendex, and Google Scholar for the years 2000 to 2017. Data regarding the study and intervention details were extracted. Interventions and studies were categorized into development, feasibility and/piloting, evaluation, or implementation phase based on the UK Medical Research Council (MRC) framework for developing and evaluating complex interventions. A novel framework was developed to classify technological features and annotate technological configurations. A mix of quantitative and qualitative approaches was used to summarize data. Results We identified 68 articles describing 45 digital interventions designed to intervene with office workers’ SB. A total of 6 common technological features had been applied to interventions with various combinations. Configurations such as “information delivery and mediated organizational and social support” and “digital log and automated tailored feedback” were well established in evaluation and implementation studies; in contrast, the integration of passive data collection, connected devices, and ATF or scheduled prompts was mostly present in development and piloting research. Conclusions This review is the first to map and describe the use of digital technologies in research on SB reduction in office workers. Interdisciplinary collaborations can help to maximize the potential of technologies. As novel modes of delivery that capitalize on embedded computing and electronics, wireless technologies have been developed and piloted in engineering, computing, and design fields, efforts can be directed to move them to the next phase of evaluation with more rigorous study designs. Quality of research may be improved by fostering conversations between different research communities and encouraging researchers to plan, conduct, and report their research under the MRC framework. This review will be particularly informative to those deciding on areas where further research or development is needed and to those looking to locate the relevant expertise, resources, and design inputs when designing their own systems or interventions.
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Affiliation(s)
- Yitong Huang
- Horizon Centre for Doctoral Training, University of Nottingham, Nottingham, United Kingdom.,Mixed Reality Laboratory, School of Computer Science, University of Nottingham, Nottingham, United Kingdom
| | - Steve Benford
- Mixed Reality Laboratory, School of Computer Science, University of Nottingham, Nottingham, United Kingdom
| | - Holly Blake
- School of Health Sciences, University of Nottingham, Nottingham, United Kingdom.,National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham, United Kingdom
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Pierce J, Legg S, Godfrey JR, Kawabata E. The effects of introducing electric adjustable height desks in an office setting on workplace physical activity levels: A randomised control field trial. Work 2019; 62:139-150. [PMID: 30689597 DOI: 10.3233/wor-182849] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Electric adjustable height desks (EAHD) have been promoted as an opportunity for desk based workers to stand at work but there is limited evidence that they have an effect on light physical activity. OBJECTIVE The main objective was to determine if there would be a change in light physical activity with the introduction of EAHD. The secondary objective was to assess if there was an associated change in leisure time activity. METHODS Activity levels were measured by step counts, self-reported activity levels and pre- and post-trial recall levels. Statistical analysis of the data was performed with the software R. Generalised linear models were fitted to the data. A Poisson regression was used for count data. Statistical hypotheses were deemed significant if their p values were less than 0.05. RESULTS There was a significant (p < 0.001) effect on step counts associated with allocation of EAHD and a significant (p < 0.001) increase in self-reported activity for the Intervention (EAHD) group. Having an EAHD was associated with increased activity during leisure (p = 0.039). CONCLUSIONS Activity levels, especially light physical activity, were significantly increased with the allocation of an electric adjustable height desk. This pilot study showed that the environmental change of introduction of electric adjustable height desks into an office workplace can increase physical activity and reduce sitting durations. There is limited evidence that the increase in work activity has a positive impact on leisure time activity.
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Affiliation(s)
- Jane Pierce
- Centre for Ergonomics Occupational Safety and Health, School of Public Health, College of Health, Massey University, Palmerston North, New Zealand
| | - Stephen Legg
- Centre for Ergonomics Occupational Safety and Health, School of Public Health, College of Health, Massey University, Palmerston North, New Zealand
| | - Jonathan R Godfrey
- Statistics and Bioinformatics Group, Institute of Fundamental Sciences, Massey University, Palmerston North, New Zealand
| | - Emily Kawabata
- Statistics and Bioinformatics Group, Institute of Fundamental Sciences, Massey University, Palmerston North, New Zealand
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Shrestha N, Kukkonen‐Harjula KT, Verbeek JH, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev 2018; 12:CD010912. [PMID: 30556590 PMCID: PMC6517221 DOI: 10.1002/14651858.cd010912.pub5] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND A large number of people are employed in sedentary occupations. Physical inactivity and excessive sitting at workplaces have been linked to increased risk of cardiovascular disease, obesity, and all-cause mortality. OBJECTIVES To evaluate the effectiveness of workplace interventions to reduce sitting at work compared to no intervention or alternative interventions. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, OSH UPDATE, PsycINFO, ClinicalTrials.gov, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal up to 9 August 2017. We also screened reference lists of articles and contacted authors to find more studies. SELECTION CRITERIA We included randomised controlled trials (RCTs), cross-over RCTs, cluster-randomised controlled trials (cluster-RCTs), and quasi-RCTs of interventions to reduce sitting at work. For changes of workplace arrangements, we also included controlled before-and-after studies. The primary outcome was time spent sitting at work per day, either self-reported or measured using devices such as an accelerometer-inclinometer and duration and number of sitting bouts lasting 30 minutes or more. We considered energy expenditure, total time spent sitting (including sitting at and outside work), time spent standing at work, work productivity and adverse events as secondary outcomes. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles, abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. MAIN RESULTS We found 34 studies - including two cross-over RCTs, 17 RCTs, seven cluster-RCTs, and eight controlled before-and-after studies - with a total of 3,397 participants, all from high-income countries. The studies evaluated physical workplace changes (16 studies), workplace policy changes (four studies), information and counselling (11 studies), and multi-component interventions (four studies). One study included both physical workplace changes and information and counselling components. We did not find any studies that specifically investigated the effects of standing meetings or walking meetings on sitting time.Physical workplace changesInterventions using sit-stand desks, either alone or in combination with information and counselling, reduced sitting time at work on average by 100 minutes per workday at short-term follow-up (up to three months) compared to sit-desks (95% confidence interval (CI) -116 to -84, 10 studies, low-quality evidence). The pooled effect of two studies showed sit-stand desks reduced sitting time at medium-term follow-up (3 to 12 months) by an average of 57 minutes per day (95% CI -99 to -15) compared to sit-desks. Total sitting time (including sitting at and outside work) also decreased with sit-stand desks compared to sit-desks (mean difference (MD) -82 minutes/day, 95% CI -124 to -39, two studies) as did the duration of sitting bouts lasting 30 minutes or more (MD -53 minutes/day, 95% CI -79 to -26, two studies, very low-quality evidence).We found no significant difference between the effects of standing desks and sit-stand desks on reducing sitting at work. Active workstations, such as treadmill desks or cycling desks, had unclear or inconsistent effects on sitting time.Workplace policy changesWe found no significant effects for implementing walking strategies on workplace sitting time at short-term (MD -15 minutes per day, 95% CI -50 to 19, low-quality evidence, one study) and medium-term (MD -17 minutes/day, 95% CI -61 to 28, one study) follow-up. Short breaks (one to two minutes every half hour) reduced time spent sitting at work on average by 40 minutes per day (95% CI -66 to -15, one study, low-quality evidence) compared to long breaks (two 15-minute breaks per workday) at short-term follow-up.Information and counsellingProviding information, feedback, counselling, or all of these resulted in no significant change in time spent sitting at work at short-term follow-up (MD -19 minutes per day, 95% CI -57 to 19, two studies, low-quality evidence). However, the reduction was significant at medium-term follow-up (MD -28 minutes per day, 95% CI -51 to -5, two studies, low-quality evidence).Computer prompts combined with information resulted in no significant change in sitting time at work at short-term follow-up (MD -14 minutes per day, 95% CI -39 to 10, three studies, low-quality evidence), but at medium-term follow-up they produced a significant reduction (MD -55 minutes per day, 95% CI -96 to -14, one study). Furthermore, computer prompting resulted in a significant decrease in the average number (MD -1.1, 95% CI -1.9 to -0.3, one study) and duration (MD -74 minutes per day, 95% CI -124 to -24, one study) of sitting bouts lasting 30 minutes or more.Computer prompts with instruction to stand reduced sitting at work on average by 14 minutes per day (95% CI 10 to 19, one study) more than computer prompts with instruction to walk at least 100 steps at short-term follow-up.We found no significant reduction in workplace sitting time at medium-term follow-up following mindfulness training (MD -23 minutes per day, 95% CI -63 to 17, one study, low-quality evidence). Similarly a single study reported no change in sitting time at work following provision of highly personalised or contextualised information and less personalised or contextualised information. One study found no significant effects of activity trackers on sitting time at work.Multi-component interventions Combining multiple interventions had significant but heterogeneous effects on sitting time at work (573 participants, three studies, very low-quality evidence) and on time spent in prolonged sitting bouts (two studies, very low-quality evidence) at short-term follow-up. AUTHORS' CONCLUSIONS At present there is low-quality evidence that the use of sit-stand desks reduce workplace sitting at short-term and medium-term follow-ups. However, there is no evidence on their effects on sitting over longer follow-up periods. Effects of other types of interventions, including workplace policy changes, provision of information and counselling, and multi-component interventions, are mostly inconsistent. The quality of evidence is low to very low for most interventions, mainly because of limitations in study protocols and small sample sizes. There is a need for larger cluster-RCTs with longer-term follow-ups to determine the effectiveness of different types of interventions to reduce sitting time at work.
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Affiliation(s)
- Nipun Shrestha
- Victoria UniversityInstitute for Health and Sport (IHES)MelbourneVictoriaAustralia
| | - Katriina T Kukkonen‐Harjula
- South Karelia Social and Health Care District EksoteRehabilitationValto Käkelän katu 3 BLappeenrantaFinland53130
| | - Jos H Verbeek
- Finnish Institute of Occupational HealthCochrane Work Review GroupTYÖTERVEYSLAITOSFinlandFI‐70032
| | - Sharea Ijaz
- Population Health Sciences, Bristol Medical School, University of BristolNIHR CLAHRC West at University Hospitals Bristol NHS Foundation TrustLewins Mead, Whitefriars BuildingBristolUKBS1 2NT
| | - Veerle Hermans
- Vrije Universiteit BrusselFaculty of Psychology & Educational Sciences, Faculty of Medicine & PharmacyPleinlaan 2BrusselsBelgium1050
| | - Zeljko Pedisic
- Victoria UniversityInstitute for Health and Sport (IHES)MelbourneVictoriaAustralia
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MacDonald B, Janssen X, Kirk A, Patience M, Gibson AM. An Integrative, Systematic Review Exploring the Research, Effectiveness, Adoption, Implementation, and Maintenance of Interventions to Reduce Sedentary Behaviour in Office Workers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E2876. [PMID: 30558258 PMCID: PMC6313589 DOI: 10.3390/ijerph15122876] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 11/25/2018] [Accepted: 11/27/2018] [Indexed: 01/24/2023]
Abstract
Sedentary behaviour is associated with poor health outcomes, and office-based workers are at significant health risk, as they accumulate large proportions of their overall sitting time at work. The aim of this integrated systematic review was to collate and synthesize published research on sedentary behaviour interventions in the workplace that have reported on at least one an aspect of the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework. Studies were included if they involved adult office workers, were conducted in an office setting, and changes in sedentary behaviour had been measured as a primary outcome. Five electronic databases were searched yielding 7234 articles, with 75 articles (61 individual interventions) meeting the inclusion criteria. Reach indicators were the most frequently reported RE-AIM dimensions, which were reported on average 59% of the time. Efficacy/effectiveness was the second most reported dimension at 49% reporting across all of the indicators. Implementation indicators were reported an average of 44% of the time, with indicators of adoption and maintenance reported as the lowest of all indicators at 13% and 8%, respectively. Recommendations are provided to improve reporting across all RE-AIM dimensions, which is an important first step to enable the effective translation of interventions into real world settings.
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Affiliation(s)
- Bradley MacDonald
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
| | - Xanne Janssen
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
| | - Alison Kirk
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
| | - Mhairi Patience
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
| | - Ann-Marie Gibson
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
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Wolfenden L, Goldman S, Stacey FG, Grady A, Kingsland M, Williams CM, Wiggers J, Milat A, Rissel C, Bauman A, Farrell MM, Légaré F, Ben Charif A, Zomahoun HTV, Hodder RK, Jones J, Booth D, Parmenter B, Regan T, Yoong SL. Strategies to improve the implementation of workplace-based policies or practices targeting tobacco, alcohol, diet, physical activity and obesity. Cochrane Database Syst Rev 2018; 11:CD012439. [PMID: 30480770 PMCID: PMC6362433 DOI: 10.1002/14651858.cd012439.pub2] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Given the substantial period of time adults spend in their workplaces each day, these provide an opportune setting for interventions addressing modifiable behavioural risk factors for chronic disease. Previous reviews of trials of workplace-based interventions suggest they can be effective in modifying a range of risk factors including diet, physical activity, obesity, risky alcohol use and tobacco use. However, such interventions are often poorly implemented in workplaces, limiting their impact on employee health. Identifying strategies that are effective in improving the implementation of workplace-based interventions has the potential to improve their effects on health outcomes. OBJECTIVES To assess the effects of strategies for improving the implementation of workplace-based policies or practices targeting diet, physical activity, obesity, tobacco use and alcohol use.Secondary objectives were to assess the impact of such strategies on employee health behaviours, including dietary intake, physical activity, weight status, and alcohol and tobacco use; evaluate their cost-effectiveness; and identify any unintended adverse effects of implementation strategies on workplaces or workplace staff. SEARCH METHODS We searched the following electronic databases on 31 August 2017: CENTRAL; MEDLINE; MEDLINE In Process; the Campbell Library; PsycINFO; Education Resource Information Center (ERIC); Cumulative Index to Nursing and Allied Health Literature (CINAHL); and Scopus. We also handsearched all publications between August 2012 and September 2017 in two speciality journals: Implementation Science and Journal of Translational Behavioral Medicine. We conducted searches up to September 2017 in Dissertations and Theses, the WHO International Clinical Trials Registry Platform, and the US National Institutes of Health Registry. We screened the reference lists of included trials and contacted authors to identify other potentially relevant trials. We also consulted experts in the field to identify other relevant research. SELECTION CRITERIA Implementation strategies were defined as strategies specifically employed to improve the implementation of health interventions into routine practice within specific settings. We included any trial with a parallel control group (randomised or non-randomised) and conducted at any scale that compared strategies to support implementation of workplace policies or practices targeting diet, physical activity, obesity, risky alcohol use or tobacco use versus no intervention (i.e. wait-list, usual practice or minimal support control) or another implementation strategy. Implementation strategies could include those identified by the Effective Practice and Organisation of Care (EPOC) taxonomy such as quality improvement initiatives and education and training, as well as other strategies. Implementation interventions could target policies or practices directly instituted in the workplace environment, as well as workplace-instituted efforts encouraging the use of external health promotion services (e.g. gym membership subsidies). DATA COLLECTION AND ANALYSIS Review authors working in pairs independently performed citation screening, data extraction and 'Risk of bias' assessment, resolving disagreements via consensus or a third reviewer. We narratively synthesised findings for all included trials by first describing trial characteristics, participants, interventions and outcomes. We then described the effect size of the outcome measure for policy or practice implementation. We performed meta-analysis of implementation outcomes for trials of comparable design and outcome. MAIN RESULTS We included six trials, four of which took place in the USA. Four trials employed randomised controlled trial (RCT) designs. Trials were conducted in workplaces from the manufacturing, industrial and services-based sectors. The sample sizes of workplaces ranged from 12 to 114. Workplace policies and practices targeted included: healthy catering policies; point-of-purchase nutrition labelling; environmental supports for healthy eating and physical activity; tobacco control policies; weight management programmes; and adherence to guidelines for staff health promotion. All implementation interventions utilised multiple implementation strategies, the most common of which were educational meetings, tailored interventions and local consensus processes. Four trials compared an implementation strategy intervention with a no intervention control, one trial compared different implementation interventions, and one three-arm trial compared two implementation strategies with each other and a control. Four trials reported a single implementation outcome, whilst the other two reported multiple outcomes. Investigators assessed outcomes using surveys, audits and environmental observations. We judged most trials to be at high risk of performance and detection bias and at unclear risk of reporting and attrition bias.Of the five trials comparing implementation strategies with a no intervention control, pooled analysis was possible for three RCTs reporting continuous score-based measures of implementation outcomes. The meta-analysis found no difference in standardised effects (standardised mean difference (SMD) -0.01, 95% CI -0.32 to 0.30; 164 participants; 3 studies; low certainty evidence), suggesting no benefit of implementation support in improving policy or practice implementation, relative to control. Findings for other continuous or dichotomous implementation outcomes reported across these five trials were mixed. For the two non-randomised trials examining comparative effectiveness, both reported improvements in implementation, favouring the more intensive implementation group (very low certainty evidence). Three trials examined the impact of implementation strategies on employee health behaviours, reporting mixed effects for diet and weight status (very low certainty evidence) and no effect for physical activity (very low certainty evidence) or tobacco use (low certainty evidence). One trial reported an increase in absolute workplace costs for health promotion in the implementation group (low certainty evidence). None of the included trials assessed adverse consequences. Limitations of the review included the small number of trials identified and the lack of consistent terminology applied in the implementation science field, which may have resulted in us overlooking potentially relevant trials in the search. AUTHORS' CONCLUSIONS Available evidence regarding the effectiveness of implementation strategies for improving implementation of health-promoting policies and practices in the workplace setting is sparse and inconsistent. Low certainty evidence suggests that such strategies may make little or no difference on measures of implementation fidelity or different employee health behaviour outcomes. It is also unclear if such strategies are cost-effective or have potential unintended adverse consequences. The limited number of trials identified suggests implementation research in the workplace setting is in its infancy, warranting further research to guide evidence translation in this setting.
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Affiliation(s)
- Luke Wolfenden
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Sharni Goldman
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Fiona G Stacey
- University of Newcastle, Hunter Medical Research Institute, Priority Research Centre in Health Behaviour, and Priority Research Centre in Physical Activity and NutritionSchool of Medicine and Public HealthCallaghanNSWAustralia2287
| | - Alice Grady
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Melanie Kingsland
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Christopher M Williams
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - John Wiggers
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Andrew Milat
- NSW Ministry of HealthCentre for Epidemiology and EvidenceNorth SydneyNSWAustralia2060
- The University of SydneySchool of Public HealthSydneyAustralia
| | - Chris Rissel
- Sydney South West Local Health DistrictOffice of Preventive HealthLiverpoolNSWAustralia2170
| | - Adrian Bauman
- The University of SydneySchool of Public HealthSydneyAustralia
- Sax InstituteThe Australian Prevention Partnership CentreSydneyAustralia
| | - Margaret M Farrell
- US National Cancer InstituteDivision of Cancer Control and Population Sciences/Implementation Sciences Team9609 Medical Center DriveBethesdaMarylandUSA20892
| | - France Légaré
- Université LavalCentre de recherche sur les soins et les services de première ligne de l'Université Laval (CERSSPL‐UL)2525, Chemin de la CanardièreQuebecQuébecCanadaG1J 0A4
| | - Ali Ben Charif
- Centre de recherche sur les soins et les services de première ligne de l'Université Laval (CERSSPL‐UL)Université Laval2525, Chemin de la CanardièreQuebecQuebecCanadaG1J 0A4
| | - Hervé Tchala Vignon Zomahoun
- Centre de recherche sur les soins et les services de première ligne ‐ Université LavalHealth and Social Services Systems, Knowledge Translation and Implementation Component of the SPOR‐SUPPORT Unit of Québec2525, Chemin de la CanardièreQuebecQCCanadaG1J 0A4
| | - Rebecca K Hodder
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Jannah Jones
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Debbie Booth
- University of NewcastleAuchmuty LibraryUniversity DriveCallaghanNSWAustralia2308
| | - Benjamin Parmenter
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Tim Regan
- University of NewcastleThe School of PsychologyCallaghanAustralia
| | - Sze Lin Yoong
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
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Coenen P, Healy GN, Winkler EAH, Dunstan DW, Owen N, Moodie M, LaMontagne AD, Eakin EA, O'Sullivan PB, Straker LM. Associations of office workers' objectively assessed occupational sitting, standing and stepping time with musculoskeletal symptoms. ERGONOMICS 2018; 61:1187-1195. [PMID: 29630479 DOI: 10.1080/00140139.2018.1462891] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 04/02/2018] [Indexed: 06/08/2023]
Abstract
We examined the association of musculoskeletal symptoms (MSS) with workplace sitting, standing and stepping time, as well as sitting and standing time accumulation (i.e. usual bout duration of these activities), measured objectively with the activPAL3 monitor. Using baseline data from the Stand Up Victoria trial (216 office workers, 14 workplaces), cross-sectional associations of occupational activities with self-reported MSS (low-back, upper and lower extremity symptoms in the last three months) were examined using probit regression, correcting for clustering and adjusting for confounders. Sitting bout duration was significantly (p < 0.05) associated, non-linearly, with MSS, such that those in the middle tertile displayed the highest prevalence of upper extremity symptoms. Other associations were non-significant but sometimes involved large differences in symptom prevalence (e.g. 38%) by activity. Though causation is unclear, these non-linear associations suggest that sitting and its alternatives (i.e. standing and stepping) interact with MSS and this should be considered when designing safe work systems. Practitioner summary: We studied associations of objectively assessed occupational activities with musculoskeletal symptoms in office workers. Workers who accumulated longer sitting bouts reported fewer upper extremity symptoms. Total activity duration was not significantly associated with musculoskeletal symptoms. We underline the importance of considering total volumes and patterns of activity time in musculoskeletal research.
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Affiliation(s)
- Pieter Coenen
- a School of Physiotherapy and Exercise Science , Curtin University , Perth , Australia
- b Department of Public and Occupational Health , Amsterdam Public Health Research Institute, VU University Medical Center , Amsterdam , The Netherlands
| | - Genevieve N Healy
- a School of Physiotherapy and Exercise Science , Curtin University , Perth , Australia
- c School of Public Health, The University of Queensland , Brisbane , Australia
- d Baker IDI Heart and Diabetes Institute , Melbourne , Australia
| | | | - David W Dunstan
- c School of Public Health, The University of Queensland , Brisbane , Australia
- d Baker IDI Heart and Diabetes Institute , Melbourne , Australia
- e School of Public Health and Preventive Medicine , Monash University , Melbourne , Australia
- f School of Exercise and Nutrition Sciences , Deakin University , Geelong , Australia
- g Central Clinical School, Medicine , Monash University , Melbourne , Australia
- h School of Sport Science, Exercise and Health , The University of Western Australia , Perth , Australia
- i Mary MacKillop Institute for Health Research, Australian Catholic University , Melbourne , Australia
| | - Neville Owen
- c School of Public Health, The University of Queensland , Brisbane , Australia
- d Baker IDI Heart and Diabetes Institute , Melbourne , Australia
- g Central Clinical School, Medicine , Monash University , Melbourne , Australia
- j Swinburne University of Technology , Melbourne , Australia
| | - Marj Moodie
- k Deakin Health Economics, Centre for Population Health Research , Deakin University , Geelong , Australia
- l Global Obesity Centre, Centre for Population Health Research , Deakin University , Geelong , Australia
| | - Anthony D LaMontagne
- m Centre for Population Health Research, School of Health & Social Development , Deakin University , Geelong , Australia
- n Melbourne School of Population and Global Health , University of Melbourne , Melbourne , Australia
| | - Elizabeth A Eakin
- c School of Public Health, The University of Queensland , Brisbane , Australia
| | - Peter B O'Sullivan
- n Melbourne School of Population and Global Health , University of Melbourne , Melbourne , Australia
| | - Leon M Straker
- n Melbourne School of Population and Global Health , University of Melbourne , Melbourne , Australia
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12
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A Brief Self-Directed Intervention to Reduce Office Employees' Sedentary Behavior in a Flexible Workplace. J Occup Environ Med 2018; 60:954-959. [PMID: 30001255 DOI: 10.1097/jom.0000000000001389] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The aim of the study was to assess changes in employees' sedentary behavior after a brief self-directed intervention in a flexible workplace. METHODS A total of 30 employees (69% female; 39.5 ± 9 years) completed an online questionnaire before and after a 6-week intervention. The intervention comprised one group-based action planning session, using a smart activity tracker for self-monitoring, weekly email reminders, and a healthy living seminar. RESULTS Total self-reported sitting time (including occupational and nonoccupational sitting) decreased nonsignificantly on days when working at the office (MΔ = -56 min/d, 95% confidence interval [CI], -128.5 to 17.0) and increased nonsignificantly when working at home (MΔ = 20.5 min/d, 95% CI, -64.5 to 105.5). The program had high acceptability in this participant group. CONCLUSIONS Brief self-directed interventions using activity tracker devices show promise and may be highly acceptable in a flexible workplace. Additional strategies may be needed to create change in sedentary behavior.
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Mackenzie K, Such E, Norman P, Goyder E. The development, implementation and evaluation of interventions to reduce workplace sitting: a qualitative systematic review and evidence-based operational framework. BMC Public Health 2018; 18:833. [PMID: 29973188 PMCID: PMC6033205 DOI: 10.1186/s12889-018-5768-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 06/27/2018] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Prolonged sitting is associated with increased risks of cardiovascular disease, Type 2 diabetes, some cancers, musculoskeletal disorders and premature mortality. Workplaces contribute to a large proportion of daily sitting time, particularly among office-based workers. Interventions to reduce workplace sitting therefore represent important public health initiatives. Previous systematic reviews suggest such interventions can be effective but have reported wide variations. Further, there is uncertainty as to whether effectiveness in controlled trials can be replicated when implemented outside the research setting. The aims of this review are to identify factors important for the implementation of workplace sitting interventions and to translate these findings into a useful operational framework to support the future implementation of such interventions. METHODS A qualitative systematic review was conducted. Four health and social science databases were searched for studies set in the workplace, with office-based employees and with the primary aim of reducing workplace sitting. Extracted data were primarily from author descriptions of interventions and their implementation. Inductive thematic analysis and synthesis was undertaken. RESULTS Forty studies met the inclusion criteria. Nine descriptive themes were identified from which emerged three higher-order analytical themes, which related to the development, implementation and evaluation of workplace sitting interventions. Key findings included: the importance of grounding interventions in theory; utilising participative approaches during intervention development and implementation; and conducting comprehensive process and outcome evaluations. There was a general under-reporting of information relating to the context within which workplace sitting interventions were implemented, such as details of local organisation processes and structures, as well as the wider political and economic landscape, which if present would aid the translation of knowledge into "real-world" settings. CONCLUSIONS These findings provided the basis for an operational framework, which is a representation of all nine descriptive themes and three higher-order analytical themes, to support workplace sitting intervention development, implementation and evaluation. Once tested and refined, this framework has the potential to be incorporated into a practical toolkit, which could be used by a range of organisations to develop, implement and evaluate their own interventions to reduce workplace sitting time amongst staff.
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Affiliation(s)
- Kelly Mackenzie
- School of Health and Related Research, University of Sheffield, Regent Street, Sheffield, S1 4DA UK
| | - Elizabeth Such
- School of Health and Related Research, University of Sheffield, Regent Street, Sheffield, S1 4DA UK
| | - Paul Norman
- Department of Psychology, University of Sheffield, Cathedral Court, 1 Vicar Lane, Sheffield, S1 2LT UK
| | - Elizabeth Goyder
- School of Health and Related Research, University of Sheffield, Regent Street, Sheffield, S1 4DA UK
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Shrestha N, Kukkonen‐Harjula KT, Verbeek JH, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev 2018; 6:CD010912. [PMID: 29926475 PMCID: PMC6513236 DOI: 10.1002/14651858.cd010912.pub4] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND A large number of people are employed in sedentary occupations. Physical inactivity and excessive sitting at workplaces have been linked to increased risk of cardiovascular disease, obesity, and all-cause mortality. OBJECTIVES To evaluate the effectiveness of workplace interventions to reduce sitting at work compared to no intervention or alternative interventions. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, OSH UPDATE, PsycINFO, ClinicalTrials.gov, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal up to 9 August 2017. We also screened reference lists of articles and contacted authors to find more studies. SELECTION CRITERIA We included randomised controlled trials (RCTs), cross-over RCTs, cluster-randomised controlled trials (cluster-RCTs), and quasi-RCTs of interventions to reduce sitting at work. For changes of workplace arrangements, we also included controlled before-and-after studies. The primary outcome was time spent sitting at work per day, either self-reported or measured using devices such as an accelerometer-inclinometer and duration and number of sitting bouts lasting 30 minutes or more. We considered energy expenditure, total time spent sitting (including sitting at and outside work), time spent standing at work, work productivity and adverse events as secondary outcomes. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles, abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. MAIN RESULTS We found 34 studies - including two cross-over RCTs, 17 RCTs, seven cluster-RCTs, and eight controlled before-and-after studies - with a total of 3,397 participants, all from high-income countries. The studies evaluated physical workplace changes (16 studies), workplace policy changes (four studies), information and counselling (11 studies), and multi-component interventions (four studies). One study included both physical workplace changes and information and counselling components. We did not find any studies that specifically investigated the effects of standing meetings or walking meetings on sitting time.Physical workplace changesInterventions using sit-stand desks, either alone or in combination with information and counselling, reduced sitting time at work on average by 100 minutes per workday at short-term follow-up (up to three months) compared to sit-desks (95% confidence interval (CI) -116 to -84, 10 studies, low-quality evidence). The pooled effect of two studies showed sit-stand desks reduced sitting time at medium-term follow-up (3 to 12 months) by an average of 57 minutes per day (95% CI -99 to -15) compared to sit-desks. Total sitting time (including sitting at and outside work) also decreased with sit-stand desks compared to sit-desks (mean difference (MD) -82 minutes/day, 95% CI -124 to -39, two studies) as did the duration of sitting bouts lasting 30 minutes or more (MD -53 minutes/day, 95% CI -79 to -26, two studies, very low-quality evidence).We found no significant difference between the effects of standing desks and sit-stand desks on reducing sitting at work. Active workstations, such as treadmill desks or cycling desks, had unclear or inconsistent effects on sitting time.Workplace policy changesWe found no significant effects for implementing walking strategies on workplace sitting time at short-term (MD -15 minutes per day, 95% CI -50 to 19, low-quality evidence, one study) and medium-term (MD -17 minutes/day, 95% CI -61 to 28, one study) follow-up. Short breaks (one to two minutes every half hour) reduced time spent sitting at work on average by 40 minutes per day (95% CI -66 to -15, one study, low-quality evidence) compared to long breaks (two 15-minute breaks per workday) at short-term follow-up.Information and counsellingProviding information, feedback, counselling, or all of these resulted in no significant change in time spent sitting at work at short-term follow-up (MD -19 minutes per day, 95% CI -57 to 19, two studies, low-quality evidence). However, the reduction was significant at medium-term follow-up (MD -28 minutes per day, 95% CI -51 to -5, two studies, low-quality evidence).Computer prompts combined with information resulted in no significant change in sitting time at work at short-term follow-up (MD -10 minutes per day, 95% CI -45 to 24, two studies, low-quality evidence), but at medium-term follow-up they produced a significant reduction (MD -55 minutes per day, 95% CI -96 to -14, one study). Furthermore, computer prompting resulted in a significant decrease in the average number (MD -1.1, 95% CI -1.9 to -0.3, one study) and duration (MD -74 minutes per day, 95% CI -124 to -24, one study) of sitting bouts lasting 30 minutes or more.Computer prompts with instruction to stand reduced sitting at work on average by 14 minutes per day (95% CI 10 to 19, one study) more than computer prompts with instruction to walk at least 100 steps at short-term follow-up.We found no significant reduction in workplace sitting time at medium-term follow-up following mindfulness training (MD -23 minutes per day, 95% CI -63 to 17, one study, low-quality evidence). Similarly a single study reported no change in sitting time at work following provision of highly personalised or contextualised information and less personalised or contextualised information. One study found no significant effects of activity trackers on sitting time at work.Multi-component interventions Combining multiple interventions had significant but heterogeneous effects on sitting time at work (573 participants, three studies, very low-quality evidence) and on time spent in prolonged sitting bouts (two studies, very low-quality evidence) at short-term follow-up. AUTHORS' CONCLUSIONS At present there is low-quality evidence that the use of sit-stand desks reduce workplace sitting at short-term and medium-term follow-ups. However, there is no evidence on their effects on sitting over longer follow-up periods. Effects of other types of interventions, including workplace policy changes, provision of information and counselling, and multi-component interventions, are mostly inconsistent. The quality of evidence is low to very low for most interventions, mainly because of limitations in study protocols and small sample sizes. There is a need for larger cluster-RCTs with longer-term follow-ups to determine the effectiveness of different types of interventions to reduce sitting time at work.
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Affiliation(s)
- Nipun Shrestha
- Victoria UniversityInstitute for Health and Sport (IHES)MelbourneAustralia
| | - Katriina T Kukkonen‐Harjula
- South Karelia Social and Health Care District EksoteRehabilitationValto Käkelän katu 3 BLappeenrantaFinland53130
| | - Jos H Verbeek
- Finnish Institute of Occupational HealthCochrane Work Review GroupTYÖTERVEYSLAITOSFinlandFI‐70032
| | - Sharea Ijaz
- Population Health Sciences, Bristol Medical School, University of BristolNIHR CLAHRC West at University Hospitals Bristol NHS Foundation TrustLewins Mead, Whitefriars BuildingBristolUKBS1 2NT
| | - Veerle Hermans
- Vrije Universiteit BrusselFaculty of Psychology & Educational Sciences, Faculty of Medicine & PharmacyPleinlaan 2BrusselsBelgium1050
| | - Zeljko Pedisic
- Victoria UniversityInstitute for Health and Sport (IHES)MelbourneAustralia
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Clark BK, Winkler EA, Brakenridge CL, Trost SG, Healy GN. Using Bluetooth proximity sensing to determine where office workers spend time at work. PLoS One 2018. [PMID: 29513754 PMCID: PMC5841797 DOI: 10.1371/journal.pone.0193971] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Most wearable devices that measure movement in workplaces cannot determine the context in which people spend time. This study examined the accuracy of Bluetooth sensing (10-second intervals) via the ActiGraph GT9X Link monitor to determine location in an office setting, using two simple, bespoke algorithms. Methods For one work day (mean±SD 6.2±1.1 hours), 30 office workers (30% men, aged 38±11 years) simultaneously wore chest-mounted cameras (video recording) and Bluetooth-enabled monitors (initialised as receivers) on the wrist and thigh. Additional monitors (initialised as beacons) were placed in the entry, kitchen, photocopy room, corridors, and the wearer’s office. Firstly, participant presence/absence at each location was predicted from the presence/absence of signals at that location (ignoring all other signals). Secondly, using the information gathered at multiple locations simultaneously, a simple heuristic model was used to predict at which location the participant was present. The Bluetooth-determined location for each algorithm was tested against the camera in terms of F-scores. Results When considering locations individually, the accuracy obtained was excellent in the office (F-score = 0.98 and 0.97 for thigh and wrist positions) but poor in other locations (F-score = 0.04 to 0.36), stemming primarily from a high false positive rate. The multi-location algorithm exhibited high accuracy for the office location (F-score = 0.97 for both wear positions). It also improved the F-scores obtained in the remaining locations, but not always to levels indicating good accuracy (e.g., F-score for photocopy room ≈0.1 in both wear positions). Conclusions The Bluetooth signalling function shows promise for determining where workers spend most of their time (i.e., their office). Placing beacons in multiple locations and using a rule-based decision model improved classification accuracy; however, for workplace locations visited infrequently or with considerable movement, accuracy was below desirable levels. Further development of algorithms is warranted.
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Affiliation(s)
- Bronwyn K. Clark
- The University of Queensland, School of Public Health, Herston, Queensland, Australia
- * E-mail:
| | - Elisabeth A. Winkler
- The University of Queensland, School of Public Health, Herston, Queensland, Australia
| | | | - Stewart G. Trost
- Institute of Health and Biomedical Innovation at Queensland, Centre for Children’s Health Research, Queensland University of Technology, South Brisbane, Queensland, Australia
| | - Genevieve N. Healy
- The University of Queensland, School of Public Health, Herston, Queensland, Australia
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McGuckin T, Sealey R, Barnett F. The use and evaluation of a theory-informed, multi-component intervention to reduce sedentary behaviour in the workplace. COGENT PSYCHOLOGY 2017. [DOI: 10.1080/23311908.2017.1411038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Teneale McGuckin
- Sport & Exercise Science, James Cook University, Townsville, Australia
| | - Rebecca Sealey
- College of Healthcare Sciences, James Cook University, Townsville, Australia
| | - Fiona Barnett
- Sport & Exercise Science, James Cook University, Townsville, Australia
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Rantalainen T, Pesola AJ, Quittner M, Ridgers ND, Belavy DL. Are habitual runners physically inactive? J Sports Sci 2017; 36:1793-1800. [PMID: 29276853 DOI: 10.1080/02640414.2017.1420452] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The World Health Organisation's (WHO) physical activity guidelines recommend 150min/week of moderate- to vigorous-intensity physical activity (MVPA) accumulated in 10 min bouts. To see whether people performing habitual exercise for recreation meet these guidelines, 25 long-distance runners [mean 67 km/wk], 25 joggers [mean 28 km/wk], and 20 sedentary adults wore an ActiGraph GT3X+ accelerometer for 7 days. Sedentary time and bouts were similar in runners and sedentary adults (p > 0.46). Sedentary adults performed 20 ± 16 min/day of MVPA (usual bout duration (W50%): 9.53 ± 3.45min), with joggers and runners performing 45 ± 31min (W50%: 16.92 ± 9.53min) and 83 ± 58min (W50%: 20.35 ± 8.85min), respectively (p ≤ 0.001 versus sedentary group). Data showed that 65% of the sedentary group, 32% of joggers and 4% of long-distance runners did not meet the WHO guideline for MVPA. Failure to meet the guideline was most prominent in, but not restricted to, runners who reported ≤50km running per week. Self-reported running does not ensure adults meet physical activity guidelines or offset daily sedentary behaviours. On the other hand, the sedentary group was very close in accumulating recommended bouts of MVPA in incidental activities. Future studies should assess whether modification of work and leisure physical activity would be more fruitful than encouraging recreational exercise per se in meeting physical activity guidelines.
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Affiliation(s)
- Timo Rantalainen
- a School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN) , Deakin University , Geelong , Victoria , Australia
| | - Arto J Pesola
- b Active Life Lab , South-Eastern Finland University of Applied Sciences , Mikkeli , Finland
| | - Matthew Quittner
- a School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN) , Deakin University , Geelong , Victoria , Australia
| | - Nicola D Ridgers
- a School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN) , Deakin University , Geelong , Victoria , Australia
| | - Daniel L Belavy
- a School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN) , Deakin University , Geelong , Victoria , Australia
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Edwardson CL, Winkler EA, Bodicoat DH, Yates T, Davies MJ, Dunstan DW, Healy GN. Considerations when using the activPAL monitor in field-based research with adult populations. JOURNAL OF SPORT AND HEALTH SCIENCE 2017; 6:162-178. [PMID: 30356601 PMCID: PMC6188993 DOI: 10.1016/j.jshs.2016.02.002] [Citation(s) in RCA: 275] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Revised: 10/26/2015] [Accepted: 12/04/2015] [Indexed: 05/28/2023]
Abstract
Research indicates that high levels of sedentary behavior (sitting or lying with low energy expenditure) are adversely associated with health. A key factor in improving our understanding of the impact of sedentary behavior (and patterns of sedentary time accumulation) on health is the use of objective measurement tools that collect date and time-stamped activity information. One such tool is the activPAL monitor. This thigh-worn device uses accelerometer-derived information about thigh position to determine the start and end of each period spent sitting/lying, standing, and stepping, as well as stepping speed, step counts, and postural transitions. The activPAL is increasingly being used within field-based research for its ability to measure sitting/lying via posture. We summarise key issues to consider when using the activPAL in physical activity and sedentary behavior field-based research with adult populations. It is intended that the findings and discussion points be informative for researchers who are currently using activPAL monitors or are intending to use them. Pre-data collection decisions, monitor preparation and distribution, data collection considerations, and manual and automated data processing possibilities are presented using examples from current literature and experiences from 2 research groups from the UK and Australia.
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Affiliation(s)
- Charlotte L. Edwardson
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, Leicester LE5 4PW, UK
| | - Elisabeth A.H. Winkler
- School of Population Health, The University of Queensland, Brisbane, QLD 4006, Australia
| | - Danielle H. Bodicoat
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, Leicester LE5 4PW, UK
| | - Tom Yates
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, Leicester LE5 4PW, UK
| | - Melanie J. Davies
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK
- NIHR Leicester-Loughborough Diet, Lifestyle, and Physical Activity Biomedical Research Unit, Leicester LE5 4PW, UK
| | - David W. Dunstan
- School of Population Health, The University of Queensland, Brisbane, QLD 4006, Australia
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC 3125, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3800, Australia
- School of Sport Science, Exercise and Health, The University of Western Australia, Perth, WA 6009, Australia
- Central Clinical School, Monash University, Melbourne, VIC 3800, Australia
| | - Genevieve N. Healy
- School of Population Health, The University of Queensland, Brisbane, QLD 4006, Australia
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA 6102, Australia
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19
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Pre-existing low-back symptoms impact adversely on sitting time reduction in office workers. Int Arch Occup Environ Health 2017; 90:609-618. [DOI: 10.1007/s00420-017-1223-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 04/11/2017] [Indexed: 12/28/2022]
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Hutcheson AK, Piazza AJ, Knowlden AP. Work Site-Based Environmental Interventions to Reduce Sedentary Behavior: A Systematic Review. Am J Health Promot 2016; 32:32-47. [PMID: 27780893 DOI: 10.1177/0890117116674681] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVE The purpose of this investigation was to systematically review work site-based, environmental interventions to reduce sedentary behavior following preferred reporting items for systematic reviews and meta-analyses guidelines. DATA SOURCE Data were extracted from Medical Literature Analysis and Retrieval System Online, Cochrane Central Register of Controlled Trials, and Web of Science between January 2005 and December 2015. STUDY INCLUSION AND EXCLUSION CRITERIA Inclusion criteria were work site interventions, published in peer-reviewed journals, employing environmental modalities, targeting sedentary behavior, and using any quantitative design. Exclusion criteria were noninterventions and non-English publications. DATA EXTRACTION Data extracted included study design, population, intervention dosage, intervention activities, evaluation measures, and intervention effects. DATA SYNTHESIS Data were tabulated quantitatively and synthesized qualitatively. RESULTS A total of 15 articles were identified for review and 14 reported statistically significant decreases in sedentary behavior. The majority of studies employed a randomized controlled trial design (n = 7), used inclinometers to measure sedentary behavior (n = 9), recruited predominantly female samples (n = 15), and utilized sit-to-stand desks as the primary intervention modality (n = 10). The mean methodological quality score was 6.2 out of 10. CONCLUSION Environmental work site interventions to reduce sedentary behavior show promise because work sites often have more control over environmental factors. Limitations of this intervention stream include inconsistent measurement of sedentary behavior, absence of theoretical frameworks to guide program development, and absence of long-term evaluation. Future studies should include clear reporting of intervention strategies and explicit operationalization of theoretical constructs.
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Affiliation(s)
- Amanda K Hutcheson
- 1 Department of Health Science, University of Alabama, Tuscaloosa, AL, USA
| | - Andrew J Piazza
- 1 Department of Health Science, University of Alabama, Tuscaloosa, AL, USA
| | - Adam P Knowlden
- 1 Department of Health Science, University of Alabama, Tuscaloosa, AL, USA
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21
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Lindsay DB, Devine S, Sealey RM, Leicht AS. Time kinetics of physical activity, sitting, and quality of life measures within a regional workplace: a cross-sectional analysis. BMC Public Health 2016; 16:786. [PMID: 27527583 PMCID: PMC4986191 DOI: 10.1186/s12889-016-3487-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Accepted: 08/11/2016] [Indexed: 01/26/2023] Open
Abstract
Background Interventions to increase physical activity and reduce sedentary behaviours within the workplace have been previously investigated. However, the evolution of these constructs without intervention has not been well documented. This retrospective study explored the natural progression or time kinetics of physical activity, sedentary behaviours and quality of life in a professional skilled workplace where focussed interventions were lacking. Methods Participants (n = 346) employed as full-time staff members at a regional university completed an online survey in 2013 assessing physical activity and sedentary behaviours via the International Physical Activity Questionnaire, and quality of life via the Short-Form 36v2 questionnaire. Differences between that cohort of participants and an initial sample of similar participants (2009, n = 297), accounting for gender and staff categories (academic vs. professional), were examined using ANCOVAs with working hours as a co-variate. Results In comparison to the initial cohort, the follow-up cohort reported significantly less leisure-time, total walking, total vigorous and total physical activity levels, and lower overall physical health for quality of life (p < 0.05). In contrast, the follow-up cohort reported a significantly greater weekly sitting time, greater mental health scores for quality of life and greater total moderate physical activity levels (p < 0.05) compared to the initial cohort. Conclusions Over a 4-year timeframe and without focussed workplace interventions, total physical activity levels were lower with sedentary behaviours greater at a rate twice that reported previously. Continuation of these undesirable health behaviours may impact negatively on worker productivity and health at a greater rate than that currently reported. Workplace interventions targeting sedentary behaviours and physical activity should be actively incorporated into organisations to counteract the alarming behavioural trends found in this study to maintain and/or enhance employee health and productivity.
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Affiliation(s)
- Daniel B Lindsay
- Psychology and Public Health, James Cook University, Townsville, QLD, Australia
| | - Sue Devine
- Public Health, James Cook University, Townsville, QLD, Australia
| | - Rebecca M Sealey
- Sport and Exercise Science, James Cook University, Townsville, QLD, 4811, Australia
| | - Anthony S Leicht
- Sport and Exercise Science, James Cook University, Townsville, QLD, 4811, Australia.
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22
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van Roekel EH, Winkler EAH, Bours MJL, Lynch BM, Willems PJB, Meijer K, Kant I, Beets GL, Sanduleanu S, Healy GN, Weijenberg MP. Associations of sedentary time and patterns of sedentary time accumulation with health-related quality of life in colorectal cancer survivors. Prev Med Rep 2016; 4:262-9. [PMID: 27419042 PMCID: PMC4941044 DOI: 10.1016/j.pmedr.2016.06.022] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 06/14/2016] [Accepted: 06/27/2016] [Indexed: 11/29/2022] Open
Abstract
Sedentary behavior (sitting/lying at low energy expenditure while awake) is emerging as an important risk factor that may compromise the health-related quality of life (HRQoL) of colorectal cancer (CRC) survivors. We examined associations of sedentary time with HRQoL in CRC survivors, 2–10 years post-diagnosis. In a cross-sectional study, stage I–III CRC survivors (n = 145) diagnosed (2002−2010) at Maastricht University Medical Center+, the Netherlands, wore the thigh-mounted MOX activity monitor 24 h/day for seven consecutive days. HRQoL outcomes were assessed by validated questionnaires (EORTC QLQ-C30, WHODAS II, Checklist Individual Strength, and Hospital Anxiety and Depression Scale). Confounder-adjusted linear regression models were used to estimate associations with HRQoL outcomes of MOX-derived total and prolonged sedentary time (in prolonged sedentary bouts ≥ 30 min), and usual sedentary bout duration, corrected for waking wear time. On average, participants spent 10.2 h/day sedentary (SD, 1.6), and 4.5 h/day in prolonged sedentary time (2.3). Mean usual sedentary bout duration was 27.3 min (SD, 16.8). Greater total and prolonged sedentary time, and longer usual sedentary bout duration were associated with significantly (P < 0.05) lower physical functioning, and higher disability and fatigue scores. Greater prolonged sedentary time and longer usual sedentary bout duration also showed significant associations with lower global quality of life and role functioning. Associations with distress and social functioning were non-significant. Sedentary time was cross-sectionally associated with poorer HRQoL outcomes in CRC survivors. Prospective studies are needed to investigate whether sedentary time reduction is a potential target for lifestyle interventions aiming to improve the HRQoL of CRC survivors. Sedentary time may negatively affect health outcomes in colorectal cancer survivors. Thigh-worn accelerometers provided objective and accurate estimates of sedentary time. Colorectal cancer survivors spent on average 10.2 h/day in sedentary time. Sedentary time was associated with worse quality of life, fatigue, and disability. Decreasing sedentary time could be a relevant target for lifestyle intervention.
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Key Words
- BMI, body mass index
- CI, confidence interval
- CIS, Checklist Individual Strength
- CRC, colorectal cancer
- Colorectal Neoplasms
- EORTC QLQ-C30, European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire-Core 30
- EnCoRe study, Energy for life after ColoRectal cancer study
- HADS, Hospital Anxiety and Depression Scale
- HRQoL, health-related quality of life
- ICF, International Classification of Functioning, Disability and Health
- MET, metabolic equivalent
- MVPA, moderate-to-vigorous physical activity
- Quality of Life
- SD, standard deviation
- Sedentary Lifestyle
- Survivors
- WHO, World Health Organization
- WHODAS II, 12-item World Health Organization Disability Assessment Schedule II
- β, unstandardized regression coefficient
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Affiliation(s)
- Eline H van Roekel
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Elisabeth A H Winkler
- The University of Queensland, School of Population Health, Herston Road, Herston, Qld 4006, Australia
| | - Martijn J L Bours
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Brigid M Lynch
- Cancer Epidemiology Centre, Cancer Council Victoria, 615 St Kilda Road, Melbourne, Vic 3004, Australia; Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, 207 Bouverie Street, Melbourne, Vic 3010, Australia; Physical Activity Laboratory, Baker IDI Heart and Diabetes Institute, P.O. Box 6492, Melbourne, Vic 3004, Australia
| | - Paul J B Willems
- Department of Human Movement Science, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Kenneth Meijer
- Department of Human Movement Science, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Ijmert Kant
- Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Geerard L Beets
- Department of Surgery, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
| | - Silvia Sanduleanu
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
| | - Genevieve N Healy
- The University of Queensland, School of Population Health, Herston Road, Herston, Qld 4006, Australia; Physical Activity Laboratory, Baker IDI Heart and Diabetes Institute, P.O. Box 6492, Melbourne, Vic 3004, Australia; School of Physiotherapy and Exercise Science, Faculty of Health Sciences, Curtin University, GPO Box U1987, Perth, Western Australia 6845, Australia
| | - Matty P Weijenberg
- Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
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De Cocker K, De Bourdeaudhuij I, Cardon G, Vandelanotte C. The Effectiveness of a Web-Based Computer-Tailored Intervention on Workplace Sitting: A Randomized Controlled Trial. J Med Internet Res 2016; 18:e96. [PMID: 27245789 PMCID: PMC4908304 DOI: 10.2196/jmir.5266] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Revised: 01/12/2016] [Accepted: 02/21/2016] [Indexed: 12/19/2022] Open
Abstract
Background Effective interventions to influence workplace sitting are needed, as office-based workers demonstrate high levels of continued sitting, and sitting too much is associated with adverse health effects. Therefore, we developed a theory-driven, Web-based, interactive, computer-tailored intervention aimed at reducing and interrupting sitting at work. Objective The objective of our study was to investigate the effects of this intervention on objectively measured sitting time, standing time, and breaks from sitting, as well as self-reported context-specific sitting among Flemish employees in a field-based approach. Methods Employees (n=213) participated in a 3-group randomized controlled trial that assessed outcomes at baseline, 1-month follow-up, and 3-month follow-up through self-reports. A subsample (n=122) were willing to wear an activity monitor (activPAL) from Monday to Friday. The tailored group received an automated Web-based, computer-tailored intervention including personalized feedback and tips on how to reduce or interrupt workplace sitting. The generic group received an automated Web-based generic advice with tips. The control group was a wait-list control condition, initially receiving no intervention. Intervention effects were tested with repeated-measures multivariate analysis of variance. Results The tailored intervention was successful in decreasing self-reported total workday sitting (time × group: P<.001), sitting at work (time × group: P<.001), and leisure time sitting (time × group: P=.03), and in increasing objectively measured breaks at work (time × group: P=.07); this was not the case in the other conditions. The changes in self-reported total nonworkday sitting, sitting during transport, television viewing, and personal computer use, objectively measured total sitting time, and sitting and standing time at work did not differ between conditions. Conclusions Our results point out the significance of computer tailoring for sedentary behavior and its potential use in public health promotion, as the effects of the tailored condition were superior to the generic and control conditions. Trial Registration Clinicaltrials.gov NCT02672215; http://clinicaltrials.gov/ct2/show/NCT02672215 (Archived by WebCite at http://www.webcitation.org/6glPFBLWv)
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Affiliation(s)
- Katrien De Cocker
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
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McVeigh JA, Winkler EAH, Howie EK, Tremblay MS, Smith A, Abbott RA, Eastwood PR, Healy GN, Straker LM. Objectively measured patterns of sedentary time and physical activity in young adults of the Raine study cohort. Int J Behav Nutr Phys Act 2016; 13:41. [PMID: 27009327 PMCID: PMC4806520 DOI: 10.1186/s12966-016-0363-0] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 03/16/2016] [Indexed: 01/08/2023] Open
Abstract
Background To provide a detailed description of young adults’ sedentary time and physical activity. Methods 384 young women and 389 young men aged 22.1 ± 0.6 years, all participants in the 22 year old follow-up of the Raine Study pregnancy cohort, wore Actigraph GT3X+ monitors on the hip for 24 h/day over a one-week period for at least one ‘valid’ day (≥10 h of waking wear time). Each minute epoch was classified as sedentary, light, moderate or vigorous intensity using 100 count and Freedson cut-points. Mixed models assessed hourly and daily variation; t-tests assessed gender differences. Results The average (mean ± SD) waking wear time was 15.0 ± 1.6 h/day, of which 61.4 ± 10.1 % was spent sedentary, 34.6 ± 9.1 % in light-, 3.7 ± 5.3 % in moderate- and, 0.3 ± 0.6 % in vigorous-intensity activity. Average time spent in moderate to vigorous activity (MVPA) was 36.2 ± 27.5 min/day. Relative to men, women had higher sedentary time, but also higher vigorous activity time. The ‘usual’ bout duration of sedentary time was 11.8 ± 4.5 min in women and 11.7 ± 5.2 min in men. By contrast, other activities were accumulated in shorter bout durations. There was large variation by hour of the day and by day of the week in both sedentary time and MVPA. Evenings and Sundays through Wednesdays tended to be particularly sedentary and/or inactive. Conclusion For these young adults, much of the waking day was spent sedentary and many participants were physically inactive (low levels of MVPA). We provide novel evidence on the time for which activities were performed and on the time periods when young adults were more sedentary and/or less active. With high sedentary time and low MVPA, young adults may be at risk for the life-course sequelae of these behaviours. Electronic supplementary material The online version of this article (doi:10.1186/s12966-016-0363-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Joanne A McVeigh
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia.
| | | | - Erin K Howie
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Mark S Tremblay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada
| | - Anne Smith
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Rebecca A Abbott
- ESMI, University of Exeter Medical School, St.Luke's Campus, Exeter, UK
| | - Peter R Eastwood
- Centre for Sleep Science, School of Anatomy, Physiology & Human Biology, University of Western Australia, Perth, Western Australia, Australia
| | - Genevieve N Healy
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia.,The University of Queensland, School of Public Health, Brisbane, Australia.,Baker IDI Heart & Diabetes Institute Melbourne, Victoria, Australia
| | - Leon M Straker
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
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Shrestha N, Kukkonen‐Harjula KT, Verbeek JH, Ijaz S, Hermans V, Bhaumik S. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev 2016; 3:CD010912. [PMID: 26984326 PMCID: PMC6486221 DOI: 10.1002/14651858.cd010912.pub3] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Office work has changed considerably over the previous couple of decades and has become sedentary in nature. Physical inactivity at workplaces and particularly increased sitting has been linked to increase in cardiovascular disease, obesity and overall mortality. OBJECTIVES To evaluate the effects of workplace interventions to reduce sitting at work compared to no intervention or alternative interventions. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, CINAHL, OSH UPDATE, PsycINFO, Clinical trials.gov and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal up to 2 June, 2015. We also screened reference lists of articles and contacted authors to find more studies to include. SELECTION CRITERIA We included randomised controlled trials (RCTs), cluster-randomised controlled trials (cRCTs), and quasi-randomised controlled trials of interventions to reduce sitting at work. For changes of workplace arrangements, we also included controlled before-and-after studies (CBAs) with a concurrent control group. The primary outcome was time spent sitting at work per day, either self-reported or objectively measured by means of an accelerometer-inclinometer. We considered energy expenditure, duration and number of sitting episodes lasting 30 minutes or more, work productivity and adverse events as secondary outcomes. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles, abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. MAIN RESULTS We included 20 studies, two cross-over RCTs, 11 RCTs, three cRCTs and four CBAs, with a total of 2180 participants from high income nations. The studies evaluated physical workplace changes (nine studies), policy changes (two studies), information and counselling (seven studies) and interventions from multiple categories (two studies). One study had both physical workplace changes and information and counselling components. We did not find any studies that had investigated the effect of periodic breaks or standing or walking meetings. Physical workplace changesA sit-stand desk alone compared to no intervention reduced sitting time at work per workday with between thirty minutes to two hours at short term (up to three months) follow-up (six studies, 218 participants, very low quality evidence). In two studies, sit-stand desks with additional counselling reduced sitting time at work in the same range at short-term follow-up (61 participants, very low quality evidence). One study found a reduction at six months' follow-up of -56 minutes (95% CI -101 to -12, very low quality evidence) compared to no intervention. Also total sitting time at work and outside work decreased with sit-stand desks compared to no intervention (MD -78 minutes, 95% CI -125 to -31, one study) as did the duration of sitting episodes lasting 30 minutes or more (MD -52 minutes, 95% CI -79 to -26, two studies). This is considerably less than the two to four hours recommended by experts. Sit-stand desks did not have a considerable effect on work performance, musculoskeletal symptoms or sick leave. It remains unclear if standing can repair the harms of sitting because there is hardly any extra energy expenditure.The effects of active workstations were inconsistent. Treadmill desks combined with counselling reduced sitting time at work (MD -29 minutes, 95% CI -55 to -2, one study) compared to no intervention at 12 weeks' follow-up. Pedalling workstations combined with information did not reduce inactive sitting at work considerably (MD -12 minutes, 95% CI -24 to 1, one study) compared to information alone at 16 weeks' follow-up. The quality of evidence was low for active workstations. Policy changesTwo studies with 443 participants provided low quality evidence that walking strategies did not have a considerable effect on workplace sitting time at 10 weeks' (MD -16 minutes, 95% CI -54 to 23) or 21 weeks' (MD -17 minutes, 95% CI -58 to 25) follow-up respectively. Information and counsellingCounselling reduced sitting time at work (MD -28 minutes, 95% CI -52 to -5, two studies, low quality evidence) at medium term (three months to 12 months) follow-up. Mindfulness training did not considerably reduce workplace sitting time (MD -2 minutes, 95% CI -22 to 18) at six months' follow-up and at 12 months' follow-up (MD -16 minutes, 95% CI -45 to 12, one study, low quality evidence). There was no considerable increase in work engagement with counselling.There was an inconsistent effect of computer prompting on sitting time at work. One study found no considerable effect on sitting at work (MD -17 minutes, 95% CI -48 to 14, low quality evidence) at 10 days' follow-up, while another study reported a significant reduction in sitting at work (MD -55 minutes, 95% CI -96 to -14, low quality evidence) at 13 weeks' follow-up. Computer prompts to stand reduced sitting at work by 14 minutes more (95% CI 10 to 19, one study) compared to computer prompts to step at six days' follow-up. Computer prompts did not change the number of sitting episodes that last 30 minutes or longer. Interventions from multiple categories Interventions combining multiple categories had an inconsistent effect on sitting time at work, with a reduction in sitting time at 12 weeks' (25 participants, very low quality evidence) and six months' (294 participants, low quality evidence) follow-up in two studies but no considerable effect at 12 months' follow-up in one study (MD -47.98, 95% CI -103 to 7, 294 participants, low quality evidence). AUTHORS' CONCLUSIONS At present there is very low to low quality evidence that sit-stand desks may decrease workplace sitting between thirty minutes to two hours per day without having adverse effects at the short or medium term. There is no evidence on the effects in the long term. There were no considerable or inconsistent effects of other interventions such as changing work organisation or information and counselling. There is a need for cluster-randomised trials with a sufficient sample size and long term follow-up to determine the effectiveness of different types of interventions to reduce objectively measured sitting time at work.
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Affiliation(s)
- Nipun Shrestha
- Health Research and Social Development ForumThapathaliKathmanduNepal24133
| | | | - Jos H Verbeek
- Finnish Institute of Occupational HealthCochrane Work Review GroupPO Box 310KuopioFinland70101
| | - Sharea Ijaz
- Finnish Institute of Occupational HealthCochrane Work Review GroupPO Box 310KuopioFinland70101
| | - Veerle Hermans
- Vrije Universiteit BrusselFaculty of Psychology & Educational Sciences, Faculty of Medicine & PharmacyPleinlaan 2BrusselsBelgium1050
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Mackenzie K, Goyder E, Eves F. Acceptability and feasibility of a low-cost, theory-based and co-produced intervention to reduce workplace sitting time in desk-based university employees. BMC Public Health 2015; 15:1294. [PMID: 26703900 PMCID: PMC4690339 DOI: 10.1186/s12889-015-2635-z] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 12/16/2015] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Prolonged sedentary time is linked with poor health, independent of physical activity levels. Workplace sitting significantly contributes to sedentary time, but there is limited research evaluating low-cost interventions targeting reductions in workplace sitting. Current evidence supports the use of multi-modal interventions developed using participative approaches. This study aimed to explore the acceptability and feasibility of a low-cost, co-produced, multi-modal intervention to reduce workplace sitting. METHODS The intervention was developed with eleven volunteers from a large university department in the UK using participative approaches and "brainstorming" techniques. Main components of the intervention included: emails suggesting ways to "sit less" e.g. walking and standing meetings; free reminder software to install onto computers; social media to increase awareness; workplace champions; management support; and point-of-decision prompts e.g. by lifts encouraging stair use. All staff (n = 317) were invited to take part. Seventeen participated in all aspects of the evaluation, completing pre- and post-intervention sitting logs and questionnaires. The intervention was delivered over four weeks from 7th July to 3rd August 2014. Pre- and post-intervention difference in daily workplace sitting time was presented as a mean ± standard deviation. Questionnaires were used to establish awareness of the intervention and its various elements, and to collect qualitative data regarding intervention acceptability and feasibility. RESULTS Mean baseline sitting time of 440 min/workday was reported with a mean reduction of 26 ± 54 min/workday post-intervention (n = 17, 95 % CI = -2 to 53). All participants were aware of the intervention as a whole, although there was a range of awareness for individual elements of the intervention. The intervention was generally felt to be both acceptable and feasible. Management support was perceived to be a strength, whilst specific strategies that were encouraged, including walking and standing meetings, received mixed feedback. CONCLUSIONS This small-scale pilot provides encouragement for the acceptability and feasibility of low-cost, multi-modal interventions to reduce workplace sitting in UK settings. Evaluation of this intervention provides useful information to support participatory approaches during intervention development and the potential for more sustainable low-cost interventions. Findings may be limited in terms of generalisability as this pilot was carried out within a health-related academic setting.
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Affiliation(s)
- Kelly Mackenzie
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
| | - Elizabeth Goyder
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
| | - Francis Eves
- The School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
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Hallman DM, Mathiassen SE, Gupta N, Korshøj M, Holtermann A. Differences between work and leisure in temporal patterns of objectively measured physical activity among blue-collar workers. BMC Public Health 2015; 15:976. [PMID: 26415931 PMCID: PMC4587719 DOI: 10.1186/s12889-015-2339-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Accepted: 09/23/2015] [Indexed: 12/03/2022] Open
Abstract
Background Leisure time physical activity (LTPA) is generally associated with favorable cardiovascular health outcomes, while occupational physical activity (OPA) shows less clear, or even opposite, cardiovascular effects. This apparent paradox is not sufficiently understood, but differences in temporal patterns of OPA and LTPA have been suggested as one explanation. Our aim was to investigate the extent to which work and leisure (non-occupational time) differ in temporal activity patterns among blue-collar workers, and to assess the modification of these patterns by age and gender. Methods This study was conducted on a cross-sectional sample of male (n = 108) and female (n = 83) blue-collar workers, aged between 21 and 65 years. Physical activity and sedentary behavior were assessed using accelerometers (Actigraph GT3X+) worn on the thigh and trunk for four consecutive days. Temporal patterns of OPA and LTPA were retrieved using Exposure Variation Analysis (EVA), and expressed in terms of percentage of work and leisure time spent in uninterrupted periods of different durations (<1 min, 1–5 min, 5–10 min, 10–30 min, 30–60 min and > 60 min) of sitting, standing, and walking. Repeated measures ANOVA and linear regression analyses were used to test a) possible differences between OPA and LTPA in selected EVA derivatives, and b) the modification of these differences by age and gender. Results OPA showed a larger percentage time walking in brief (<5 min) periods [mean (SD): 33.4 % (12.2)], and less time in prolonged (>30 min) sitting [7.0 % (9.3)] than LTPA [walking 15.4 % (5.0); sitting 31.9 % (15.3)], even after adjustment for the difference between work and leisure in total time spent in each activity type. These marked differences in the temporal pattern of OPA and LTPA were modified by gender, but not age. Conclusion We found that the temporal patterns of OPA and LTPA among blue-collar workers were markedly different even after adjustment for total physical activity time, and that this difference was modified by gender. We recommend using EVA derivatives in future studies striving to disentangle the apparent paradoxical cardiovascular effect of physical activity at work and during leisure.
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Affiliation(s)
- David M Hallman
- Centre for Musculoskeletal Research, Department of Occupational and Public Health Sciences, University of Gävle, Kungsbäcksvägen 47, SE 801 76, Gävle, Sweden.
| | - Svend Erik Mathiassen
- Centre for Musculoskeletal Research, Department of Occupational and Public Health Sciences, University of Gävle, Kungsbäcksvägen 47, SE 801 76, Gävle, Sweden.
| | - Nidhi Gupta
- National Research Centre for the Working Environment, Copenhagen, Denmark.
| | - Mette Korshøj
- National Research Centre for the Working Environment, Copenhagen, Denmark.
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Copenhagen, Denmark.
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De Cocker K, De Bourdeaudhuij I, Cardon G, Vandelanotte C. Theory-driven, web-based, computer-tailored advice to reduce and interrupt sitting at work: development, feasibility and acceptability testing among employees. BMC Public Health 2015; 15:959. [PMID: 26404915 PMCID: PMC4583215 DOI: 10.1186/s12889-015-2288-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Accepted: 09/15/2015] [Indexed: 01/01/2023] Open
Abstract
Background Because of the adverse health effects in adults, interventions to influence workplace sitting, a large contributor to overall daily sedentary time, are needed. Computer-tailored interventions have demonstrated good outcomes in other health behaviours, though few have targeted sitting time at work. Therefore, the present aims were to (1) describe the development of a theory-driven, web-based, computer-tailored advice to influence sitting at work, (2) report on the feasibility of reaching employees, and (3) report on the acceptability of the advice. Methods Employees from a public city service (n = 179) were invited by e-mail to participate. Employees interested to request the advice (n = 112) were sent the website link, a personal login and password. The online advice was based on different aspects of the Theory of Planned Behaviour, Self-Determination Theory and Self-Regulation Theory. Logistic regressions were conducted to compare characteristics (gender, age, education, employment status, amount of sitting and psychosocial correlates of workplace sitting) of employees requesting the advice (n = 90, 80.4 %) with those who did not. Two weeks after visiting the website, 47 employees (52.2 %) completed an online acceptability questionnaire. Results Those with a high education were more likely to request the advice than those with a low education (OR = 2.4, CI = 1.0-5.8), and those with a part-time job were more likely to request the advice compared to full-time employees (OR = 2.9, CI = 1.2-7.1). The majority found the advice interesting (n = 36/47, 76.6 %), relevant (n = 33/47, 70.2 %) and motivating (n = 29/47, 61.7 %). Fewer employees believed the advice was practicable (n = 15/47, 31.9 %). After completing the advice, 58.0 % (n = 25/43) reported to have started interrupting their sitting and 32.6 % (n = 17/43) additionally intended to do so; 14.0 % (n = 6/43) reported to have reduced their sitting and another 51.2 % (n = 22/43) intended to do so. Discussion More efforts are needed to reach lower educated and full-time workers. Further research should examinethe effects of this intervention in a rigorous randomised controlled trial. Conclusions It is feasible to reach employees with this tool. Most of the employees who requested the advice found itacceptable and reported they changed their behaviour or intended to change it. Interrupting sittingappeared more achievable than reducing workplace sitting.
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Affiliation(s)
- Katrien De Cocker
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium. .,Research Foundation Flanders, Brussels, Belgium.
| | | | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.
| | - Corneel Vandelanotte
- Physical Activity Research Group, School for Human Health and Social Sciences, Central Queensland University, Rockhampton, QLD, Australia.
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Ridgers ND, Timperio A, Cerin E, Salmon J. Within- and between-day associations between children's sitting and physical activity time. BMC Public Health 2015; 15:950. [PMID: 26400793 PMCID: PMC4581512 DOI: 10.1186/s12889-015-2291-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 09/16/2015] [Indexed: 12/04/2022] Open
Abstract
Background The objective of this study was to examine whether increased levels of sitting time and physical activity in one period (within-day) or on one day (between-day) were predictive of lower levels in these behaviours in the following period or day among children. Methods Children aged 8–11 years from 8 primary schools located in Melbourne, Australia, wore an activPAL for 7 consecutive days (n = 235; 53 % boys). Sitting, standing and stepping time were derived for each day and for specific periods on weekdays and weekend days. Multilevel analyses were conducted using generalised linear latent and mixed models to estimate associations between temporally adjacent values (i.e. pairs of days; pairs of periods within-days) between the outcome variables. Results Significant associations were observed between temporally adjacent days and periods of the day. On any given day, an additional 10 min of stepping was associated with fewer minutes of stepping (~9 min; 95 % CI: −11.5 to −6.2 min) and standing (15 min; 95 % CI: −18.8 to −11.1 min) the following day. Greater time spent sitting during one period, regardless of being a weekday or weekend day, was associated with less time sitting and more time standing and stepping in the following period. Conclusions The direction of the results suggest that children appeared to compensate for increased sitting, standing, and stepping time both within- and between-days. The implications of such associations for the design and delivery of interventions require consideration.
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Affiliation(s)
- Nicola D Ridgers
- Centre for Physical Activity and Nutrition Research, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
| | - Anna Timperio
- Centre for Physical Activity and Nutrition Research, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
| | - Ester Cerin
- Centre for Physical Activity and Nutrition Research, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
| | - Jo Salmon
- Centre for Physical Activity and Nutrition Research, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
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Bellettiere J, Carlson JA, Rosenberg D, Singhania A, Natarajan L, Berardi V, LaCroix AZ, Sears DD, Moran K, Crist K, Kerr J. Gender and Age Differences in Hourly and Daily Patterns of Sedentary Time in Older Adults Living in Retirement Communities. PLoS One 2015; 10:e0136161. [PMID: 26296095 PMCID: PMC4546658 DOI: 10.1371/journal.pone.0136161] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Accepted: 07/31/2015] [Indexed: 11/27/2022] Open
Abstract
Background Total sedentary time varies across population groups with important health consequences. Patterns of sedentary time accumulation may vary and have differential health risks. The purpose of this study is to describe sedentary patterns of older adults living in retirement communities and illustrate gender and age differences in those patterns. Methods Baseline accelerometer data from 307 men and women (mean age = 84±6 years) who wore ActiGraph GT3X+ accelerometers for ≥ 4 days as part of a physical activity intervention were classified into bouts of sedentary time (<100 counts per minute). Linear mixed models were used to account for intra-person and site-level clustering. Daily and hourly summaries were examined in mutually non-exclusive bouts of sedentary time that were 1+, 5+, 10+, 20+, 30+, 40+, 50+, 60+, 90+ and 120+ minutes in duration. Variations by time of day, age and gender were explored. Results Men accumulated more sedentary time than women in 1+, 5+, 10+, 20+, 30+, 40+, 50+ and 60+ minute bouts; the largest gender-differences were observed in 10+ and 20+ minute bouts. Age was positively associated with sedentary time, but only in bouts of 10+, 20+, 30+, and 40+ minutes. Women had more daily 1+ minute sedentary bouts than men (71.8 vs. 65.2), indicating they break up sedentary time more often. For men and women, a greater proportion of time was spent being sedentary during later hours of the day than earlier. Gender differences in intra-day sedentary time were observed during morning hours with women accumulating less sedentary time overall and having more 1+ minute bouts. Conclusions Patterns identified using bouts of sedentary time revealed gender and age differences in the way in which sedentary time was accumulated by older adults in retirement communities. Awareness of these patterns can help interventionists better target sedentary time and may aid in the identification of health risks associated with sedentary behavior. Future studies should investigate the impact of patterns of sedentary time on healthy aging, disease, and mortality.
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Affiliation(s)
- John Bellettiere
- San Diego State University/University of California, San Diego Joint Doctoral Program in Public Health (Epidemiology), University of California San Diego, La Jolla, California, United States of America
- Center for Behavioral Epidemiology and Community Health, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America
- * E-mail:
| | - Jordan A. Carlson
- Center for Children's Healthy Lifestyles and Nutrition, Children’s Mercy Hospital, Kansas City, Missouri, United States of America
| | - Dori Rosenberg
- Department of Health Services, University of Washington School of Public Health, Seattle, Washington, United States of America
| | - Anant Singhania
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
| | - Loki Natarajan
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
| | - Vincent Berardi
- Center for Behavioral Epidemiology and Community Health, Graduate School of Public Health, San Diego State University, San Diego, California, United States of America
- Computational Science Research Center, San Diego State University, San Diego, California
| | - Andrea Z. LaCroix
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
| | - Dorothy D. Sears
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
| | - Kevin Moran
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
| | - Katie Crist
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
| | - Jacqueline Kerr
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, United States of America
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Healy GN, Winkler EAH, Owen N, Anuradha S, Dunstan DW. Replacing sitting time with standing or stepping: associations with cardio-metabolic risk biomarkers. Eur Heart J 2015; 36:2643-9. [DOI: 10.1093/eurheartj/ehv308] [Citation(s) in RCA: 191] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 06/17/2015] [Indexed: 11/12/2022] Open
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