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      The effect of a programme to improve men’s sedentary time and physical activity: The European Fans in Training (EuroFIT) randomised controlled trial

      research-article
      1 , * , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 1 , 8 , 9 , 6 , 4 , 5 , 2 , 10 , 1 , 10 , 5 , 11 , 12 , 3 , 13 , 2 , 14 , 2 , 7 , 2 , 3 , 15 , 16 , 12 , 4 , 4
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          Abstract

          Background

          Reducing sitting time as well as increasing physical activity in inactive people is beneficial for their health. This paper investigates the effectiveness of the European Fans in Training (EuroFIT) programme to improve physical activity and sedentary time in male football fans, delivered through the professional football setting.

          Methods and findings

          A total of 1,113 men aged 30–65 with self-reported body mass index (BMI) ≥27 kg/m 2 took part in a randomised controlled trial in 15 professional football clubs in England, the Netherlands, Norway, and Portugal. Recruitment was between September 19, 2015, and February 2, 2016. Participants consented to study procedures and provided usable activity monitor baseline data. They were randomised, stratified by club, to either the EuroFIT intervention or a 12-month waiting list comparison group. Follow-up measurement was post-programme and 12 months after baseline. EuroFIT is a 12-week, group-based programme delivered by coaches in football club stadia in 12 weekly 90-minute sessions. Weekly sessions aimed to improve physical activity, sedentary time, and diet and maintain changes long term. A pocket-worn device (SitFIT) allowed self-monitoring of sedentary time and daily steps, and a game-based app (MatchFIT) encouraged between-session social support. Primary outcome (objectively measured sedentary time and physical activity) measurements were obtained for 83% and 85% of intervention and comparison participants. Intention-to-treat analyses showed a baseline-adjusted mean difference in sedentary time at 12 months of −1.6 minutes/day (97.5% confidence interval [CI], −14.3–11.0; p = 0.77) and in step counts of 678 steps/day (97.5% CI, 309–1.048; p < 0.001) in favor of the intervention. There were significant improvements in diet, weight, well-being, self-esteem, vitality, and biomarkers of cardiometabolic health in favor of the intervention group, but not in quality of life. There was a 0.95 probability of EuroFIT being cost-effective compared with the comparison group if society is willing to pay £1.50 per extra step/day, a maximum probability of 0.61 if society is willing to pay £1,800 per minute less sedentary time/day, and 0.13 probability if society is willing to pay £30,000 per quality-adjusted life-year (QALY). It was not possible to blind participants to group allocation. Men attracted to the programme already had quite high levels of physical activity at baseline (8,372 steps/day), which may have limited room for improvement. Although participants came from across the socioeconomic spectrum, a majority were well educated and in paid work. There was an increase in recent injuries and in upper and lower joint pain scores post-programme. In addition, although the five-level EuroQoL questionnaire (EQ-5D-5L) is now the preferred measure for cost-effectiveness analyses across Europe, baseline scores were high (0.93), suggesting a ceiling effect for QALYs.

          Conclusion

          Participation in EuroFIT led to improvements in physical activity, diet, body weight, and biomarkers of cardiometabolic health, but not in sedentary time at 12 months. Within-trial analysis suggests it is not cost-effective in the short term for QALYs due to a ceiling effect in quality of life. Nevertheless, decision-makers may consider the incremental cost for increase in steps worth the investment.

          Trial registration

          International Standard Randomised Controlled Trials, ISRCTN-81935608.

          Abstract

          Sally Wyke and colleagues report that the EuroFIT trial, designed to improve fitness in men, improves fitness, weight, and cardiometabolic biomarkers, but not sedenetary time at 12 months.

          Author summary

          Why was this study done?
          • Gender-sensitised lifestyle change programmes in a professional sport setting are an exciting development in men’s health promotion, with the potential to engage men who are underserved by most programmes.

          • A healthy lifestyle and weight management programme delivered in professional sporting settings (Football Fans in Training [FFIT]) has been shown to be effective and cost-effective in delivering long-term weight loss in overweight and obese Scottish football fans.

          • We drew on the success of FFIT to develop and evaluate the EuroFIT programme in four European countries. Whereas FFIT introduced physical activity and dietary change for weight loss, EuroFIT focused on increasing physical activity and reducing sedentary time as desirable outcomes in their own right.

          What did the researchers do and find?
          • We conducted a randomised controlled trial ( n = 1,113) in 15 football clubs in four countries and showed that the EuroFIT programme was effective in increasing objectively measured physical activity but not sedentary time 12 months after baseline.

          • EuroFIT participants also showed improvements in diet, body weight, indicators of cardiometabolic health, well-being, and other secondary outcomes.

          • EuroFIT was not cost-effective in the short term because there were no differences in quality of life because, on the measure we used, participants already had high levels of quality of life at baseline.

          What do these findings mean?
          • Gender-sensitised lifestyle programmes delivered in professional football clubs have shown great promise in Europe and could play an important public health role in engaging underserved men.

          • Changing time spent sedentary proved difficult. Future lifestyle intervention studies should attempt to ensure that participants understand the distinction between being more physically active and spending more time upright.

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          Most cited references26

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          • Abstract: found
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          Objective vs. Self-Reported Physical Activity and Sedentary Time: Effects of Measurement Method on Relationships with Risk Biomarkers

          Purpose Imprecise measurement of physical activity variables might attenuate estimates of the beneficial effects of activity on health-related outcomes. We aimed to compare the cardiometabolic risk factor dose-response relationships for physical activity and sedentary behaviour between accelerometer- and questionnaire-based activity measures. Methods Physical activity and sedentary behaviour were assessed in 317 adults by 7-day accelerometry and International Physical Activity Questionnaire (IPAQ). Fasting blood was taken to determine insulin, glucose, triglyceride and total, LDL and HDL cholesterol concentrations and homeostasis model-estimated insulin resistance (HOMAIR). Waist circumference, BMI, body fat percentage and blood pressure were also measured. Results For both accelerometer-derived sedentary time ( 50% lower for the IPAQ-reported compared to the accelerometer-derived measure (p<0.0001 for both interactions). The relationships for moderate-to-vigorous physical activity (MVPA) and risk factors were less strong than those observed for sedentary behaviours, but significant negative relationships were observed for both accelerometer and IPAQ MVPA measures with glucose, and insulin and HOMAIR values (all p<0.05). For accelerometer-derived MVPA only, additional negative relationships were seen with triglyceride, total cholesterol and LDL cholesterol concentrations, BMI, waist circumference and percentage body fat, and a positive relationship was evident with HDL cholesterol (p = 0.0002). Regression coefficients for HOMAIR, insulin and triglyceride were 43–50% lower for the IPAQ-reported compared to the accelerometer-derived MVPA measure (all p≤0.01). Conclusion Using the IPAQ to determine sitting time and MVPA reveals some, but not all, relationships between these activity measures and metabolic and vascular disease risk factors. Using this self-report method to quantify activity can therefore underestimate the strength of some relationships with risk factors.
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            The validity and reliability of a novel activity monitor as a measure of walking.

            The accurate measurement of physical activity is crucial to understanding the relationship between physical activity and disease prevention and treatment. The primary purpose of this study was to investigate the validity and reliability of the activPAL physical activity monitor in measuring step number and cadence. The ability of the activPAL monitor to measure step number and cadence in 20 healthy adults (age 34.5+/-6.9 years; BMI 26.8+/-4.8 (mean+/-SD)) was evaluated against video observation. Concurrently, the accuracy of two commonly used pedometers, the Yamax Digi-Walker SW-200 and the Omron HJ-109-E, was compared to observation for measuring step number. Participants walked on a treadmill at five different speeds (0.90, 1.12, 1.33, 1.56, and 1.78 m/s) and outdoors at three self selected speeds (slow, normal, and fast). At all speeds, inter device reliability was excellent for the activPAL (ICC (2,1)> or =0.99) for both step number and cadence. The absolute percentage error for the activPAL was <1.11% for step number and cadence regardless of walking speed. The accuracy of the pedometers was adversely affected by slow walking speeds. The activPAL monitor is a valid and reliable measure of walking in healthy adults. Its accuracy is not influenced by walking speed. The activPAL may be a useful device in sports medicine.
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              Measuring total and domain-specific sitting: a study of reliability and validity.

              Although independent relationships between sitting behaviors (mainly television viewing) and health outcomes have been reported, few studies have examined the measurement properties of self-report sitting questions. This study assessed gender-specific test-retest reliability and validity of a questionnaire that assessed time spent sitting on weekdays and weekend days: 1) traveling to and from places, 2) at work, 3) watching television, 4) using a computer at home, and 5) for leisure, not including television. Test-retest reliability of domain-specific sitting time (min x d(-1)) on weekdays and weekend days was assessed using data collected on two occasions (median = 11 d apart). Validity of domain-specific self-reported sitting time on weekdays and weekend days was assessed against log data and sedentary accelerometer data. Complete repeat questionnaire and log data were obtained from 157 women (aged 51-59 yr) and 96 men (aged 45-63 yr). Reliability coefficients were high for weekday sitting time at work, watching television, and using a computer at home (r = 0.84-0.78) but lower for weekend days across all domains (r = 0.23-0.74). Validity coefficients were highest for weekday sitting time at work and using a computer at home (r = 0.69-0.74). With the exception of computer use and watching television for women, validity of the weekend-day sitting time items was low. This study confirms the importance of measuring domain- and day-specific sitting time. The measurement properties of questions that assess structured domain-specific and weekday sitting time were acceptable and may be used in future studies that aim to elucidate associations between domain-specific sitting and health outcomes.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Formal analysisRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Role: Data curationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Role: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: Funding acquisitionRole: MethodologyRole: Writing – review & editing
                Role: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                5 February 2019
                February 2019
                : 16
                : 2
                : e1002736
                Affiliations
                [1 ] Institute of Health and Wellbeing, College of Social Sciences, University of Glasgow, Glasgow, United Kingdom
                [2 ] Department of Coaching and Psychology, Norwegian School of Sport Science, Oslo, Norway
                [3 ] Interdisciplinary Center for the Study of Human Performance (CIPER), Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal
                [4 ] Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
                [5 ] Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
                [6 ] Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
                [7 ] Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
                [8 ] Institute for Social Marketing, University of Stirling, Stirling, United Kingdom
                [9 ] Centre for Public Health Nutrition Research, University of Dundee, Dundee, United Kingdom
                [10 ] PAL Technologies Ltd., Glasgow, United Kingdom
                [11 ] Physical Activity for Health Research Centre, the University of Edinburgh, Edinburgh, United Kingdom
                [12 ] Radboud University Medical Center, Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare, Nijmegen, the Netherlands
                [13 ] European Healthy Stadia Network CIC Ltd., Liverpool, United Kingdom
                [14 ] Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
                [15 ] Health Services Research Unit, University of Aberdeen, Aberdeen, United Kingdom
                [16 ] KU Leuven, Department of Public Health and Primary Care, Leuven, Belgium
                Stanford University, UNITED STATES
                Author notes

                I have read the journal’s policy and the authors of this manuscript have the following competing interests: AM is a paid statistical advisor for PLOS Medicine. AM’s institution received funding from the European Union FP7 funding programme, covering salaries of staff within the Robertson Centre for Biostatistics who provided statistical and data management support to the study. DJM and DWL work for PAL Technologies Ltd., a manufacturer of the activPAL and SitFIT, and a partner in EuroFIT.

                [¤a]

                Current address: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom

                [¤b]

                Current address: Department of Nursing, Glasgow Caledonian University, Glasgow, United Kingdom

                Author information
                http://orcid.org/0000-0002-7509-8247
                http://orcid.org/0000-0001-6604-1305
                http://orcid.org/0000-0003-4734-0283
                http://orcid.org/0000-0002-3726-550X
                http://orcid.org/0000-0003-3201-1743
                http://orcid.org/0000-0002-1443-1026
                http://orcid.org/0000-0001-7943-9160
                http://orcid.org/0000-0002-0664-4187
                http://orcid.org/0000-0003-2906-8757
                http://orcid.org/0000-0001-8966-6877
                http://orcid.org/0000-0002-7262-7000
                http://orcid.org/0000-0002-5018-6398
                http://orcid.org/0000-0003-2637-6877
                http://orcid.org/0000-0001-5710-524X
                http://orcid.org/0000-0002-4719-4389
                http://orcid.org/0000-0002-9098-7261
                http://orcid.org/0000-0001-7202-0527
                http://orcid.org/0000-0002-7239-7241
                http://orcid.org/0000-0003-0111-6622
                Article
                PMEDICINE-D-18-02652
                10.1371/journal.pmed.1002736
                6363143
                30721231
                9ae6aaf5-9f67-468a-a3bc-a1f50ffe0566
                © 2019 Wyke et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 July 2018
                : 24 December 2018
                Page count
                Figures: 2, Tables: 9, Pages: 25
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100011272, FP7 Health;
                Award ID: 602170
                Award Recipient :
                This project has received funding from the European Union’s Seventh Framework Program for research, technological development, and demonstration under grant agreement number 602170. The Health Services Research Unit, University of Aberdeen, receives core funding from the Chief Scientist Office of the Scottish Government Health Directorates. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Public and Occupational Health
                Physical Activity
                Biology and Life Sciences
                Psychology
                Behavior
                Recreation
                Sports
                Social Sciences
                Psychology
                Behavior
                Recreation
                Sports
                Biology and Life Sciences
                Sports Science
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                Economics
                Economic Analysis
                Cost-Effectiveness Analysis
                Biology and Life Sciences
                Psychology
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                Social Sciences
                Psychology
                Behavior
                Biology and Life Sciences
                Nutrition
                Diet
                Medicine and Health Sciences
                Nutrition
                Diet
                Biology and Life Sciences
                Biochemistry
                Biomarkers
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                Physiology
                Physiological Parameters
                Body Weight
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Weight Loss
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Weight Loss
                Custom metadata
                Data from the study are available for secondary analysis. Applications to access the data can be made by contacting Professor John Cleland, Director of the Robertson Centre for Biostatistics and Glasgow Clinical Trials Unit ( John.Cleland@ 123456glasgow.ac.uk ). Applicants are required to submit a brief proposal outlining their intended use of the data, but no genuine application from an appropriately qualified researcher will be refused. Access to the data will be given via a secure analytical platform.

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