The effectiveness of physical activity monitoring and distance counselling in an occupational health setting - a research protocol for a randomised controlled trial (CoAct)

Reijonsaari, Karita; Vehtari, Aki; Mechelen, Willem van; Aro, Timo; Taimela, Simo

doi:10.1186/1471-2458-9-494

Cited by 7 publications

(20 citation statements)

References 39 publications

(34 reference statements)

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“…The full text was obtained for 71 publications; of these, 18 publications describing 15 studies met the criteria for inclusion. 37–54 An updated search to February 2018 found an additional five publications describing four studies, 55–59 and a second updated search to December 2018 found an additional seven publications for six studies, 60–66 resulting in a total of 30 publications (25 studies) for inclusion in the review.…”

Section: Resultsmentioning

confidence: 99%

“…Eleven studies were conducted in the USA, 42–46,50,53,57,59,60,62 five in Australia, 37,38,49,55,56,61,66 two in Canada, 58,63 two in the Netherlands, 52,54 one in Belgium, 64,65 Singapore, 39,40 Finland, 47,48 Norway, 51 and one in multiple countries. 41 Workplace settings included academic and academic medical institutions, 42–44,50,53,57,59,60,62 healthcare, 63,66 health insurance, 45,49 wellbeing improvement, 46 property and infrastructure, 37,38 pension insurance, 47,48 financial services, 61 road maintenance, 51 and haulage. 55,56 Six studies targeted multiple organisations.…”

Section: Resultsmentioning

confidence: 99%

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Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review

et al. 2019

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Objective This systematic review aimed to assess the effectiveness, feasibility and acceptability of mobile health (mHealth) technology (including wearable activity monitors and smartphone applications) for promoting physical activity (PA) and reducing sedentary behaviour (SB) in workplace settings. Methods Systematic searches were conducted in seven electronic databases (MEDLINE, SPORTDiscus, Scopus, EMBASE, PsycINFO, Web of Science and the Cochrane library). Studies were included if mHealth was a major intervention component, PA/SB was a primary outcome, and participants were recruited and/or the intervention was delivered in the workplace. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) tool. Interventions were coded for behaviour change techniques (BCTs) using the Coventry, Aberdeen and London – Refined (CALO-RE) taxonomy. Results Twenty-five experimental and quasi-experimental studies were included. Studies were highly heterogeneous and only one was rated as ‘strong’ methodological quality. Common BCTs included self-monitoring, feedback, goal-setting and social comparison. A total of 14/25 (56%) studies reported a significant increase in PA, and 4/10 (40%) reported a significant reduction in sedentary time; 11/16 (69%) studies reported a significant impact on secondary outcomes including reductions in weight, systolic blood pressure and total cholesterol. While overall acceptability was high, a large decline in technology use and engagement was observed over time. Conclusions While methodological quality was generally weak, there is reasonable evidence for mHealth in a workplace context as a feasible, acceptable and effective tool to promote PA. The impact in the longer term and on SB is less clear. Higher quality, mixed methods studies are needed to explore the reasons for decline in engagement with time and the longer-term potential of mHealth in workplace interventions. Protocol registration: The review protocol was registered with PROSPERO: CRD42017058856

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review

et al. 2019

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“…Eligible subjects were: 1) age 18 years or older, 2) in paid employment of at least 8 h a week, 3) not scheduled to retire in the next two years and had not applied for a disability pension, 4) had completed a health risk appraisal and physical testing as a part of normal occupational healthcare, and 5) did not have the following medical conditions: pregnancy, diagnosis or treatment of cancer, or any other condition that would cause a risk to the participant’s health during testing. A complete list of the eligibility criteria is found in the study protocol [21]. …”

Section: Methodsmentioning

confidence: 99%

“…These variables were measured during the fitness test at baseline, at 12 months for both groups, and at 6 months for the intervention group. Details on these measures have been described in the study protocol [21]. …”

Section: Methodsmentioning

confidence: 99%

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The effectiveness of physical activity monitoring and distance counseling in an occupational setting – Results from a randomized controlled trial (CoAct)

et al. 2012

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BackgroundLack of physical activity (PA) is a known risk factor for many health conditions. The workplace is a setting often used to promote activity and health. We investigated the effectiveness of an intervention on PA and productivity-related outcomes in an occupational setting.MethodsWe conducted a randomized controlled trial of 12 months duration with two 1:1 allocated parallel groups of insurance company employees. Eligibility criteria included permanent employment and absence of any condition that risked the participant’s health during PA. Subjects in the intervention group monitored their daily PA with an accelerometer, set goals, had access to an online service to help them track their activity levels, and received counseling via telephone or web messages for 12 months. The control group received the results of a fitness test and an information leaflet on PA at the beginning of the study. The intervention’s aim was to increase PA, improve work productivity, and decrease sickness absence. Primary outcomes were PA (measured as MET minutes per week), work productivity (quantity and quality of work; QQ index), and sickness absence (SA) days at 12 months. Participants were assigned to groups using block randomization with a computer-generated scheme. The study was not blinded.ResultsThere were 544 randomized participants, of which 521 were included in the analysis (64% female, mean age 43 years). At 12 months, there was no significant difference in physical activity levels between the intervention group (n = 264) and the control group (n = 257). The adjusted mean difference was −206 MET min/week [95% Bayesian credible interval −540 to 128; negative values favor control group]. There was also no significant difference in the QQ index (−0.5 [−4.4 to 3.3]) or SA days (0.0 [−1.2 to 0.9]). Of secondary outcomes, body weight (0.5 kg [0.0 to 1.0]) and percentage of body fat (0.6% [0.2% to 1.1%]) were slightly higher in the intervention group. An exploratory subgroup analysis revealed no subgroups in which the intervention affected physical activity. No adverse events were reported.ConclusionsThe intervention was not found effective, and this study does not provide support for the effectiveness of the workplace PA intervention used here.Trial registrationClinicalTrials.gov identifier: NCT00994565

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P2P Data synchronization for product lifecycle management

Kubler¹,

Främling²,

Derigent³

2015

Computers in Industry

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The effectiveness of physical activity monitoring and distance counselling in an occupational health setting - a research protocol for a randomised controlled trial (CoAct)

Cited by 7 publications

References 39 publications

Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review

Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review

The effectiveness of physical activity monitoring and distance counseling in an occupational setting – Results from a randomized controlled trial (CoAct)

P2P Data synchronization for product lifecycle management

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