Trial reportBMJ open2017
Effects of a multicomponent workplace intervention programme with environmental changes on physical activity among Japanese white collar employees: a protocol for a cluster randomised controlled trial.
Trial report in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Strategies to improve the implementation of workplace-based policies or practices targeting tobacco, alcohol, diet, physical activity and obesity.The Cochrane database of systematic reviews · 2018Pooled it
- Effects of a Multi-Component Workplace Intervention Program with Environmental Changes on Physical Activity among Japanese White-Collar Employees: a Cluster-Randomized Controlled Trial.International journal of behavioral medicine · 2018Trial
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPhysical activity is one of the most important health behaviours as a determinant of physical and mental health. Although intervention strategies for promoting physical activity among workers are needed, evidence for the effectiveness of multilevel workplace interventions with environmental changes on the promotion of physical activity are still limited due to lack of cluster randomised controlled trials (RCTs). The aim of this study is to investigate effects of a 3-month workplace intervention programme with environmental changes on the improvement in physical activity among Japanese white collar employees. METHODS AND ANALYSIS: This study will be a two-arm and parallel-group cluster (worksite) RCT. Japanese worksites and employees who are employed by the worksites will be recruited through health insurance associations and chambers of commerce. Worksites that meet the inclusion criteria will be randomly allocated to intervention or control groups. The intervention worksites will be offered the original intervention programme that consists of 13 contents with environmental changes. The control worksites will be able to get three times feedback of the assessment of the amount of physical activity and basic occupational health service in each worksite. The primary outcome will be the total amount of physical activity measured by the Global Physical Activity Questionnaire at baseline, 3 months and 6 months. Multilevel latent growth modelling will be conducted to examine the effectiveness of the intervention programme. ETHICS AND DISSEMINATION: This study was ethically approved by the research ethics committee of the Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Japan (No. 11230). Results will be submitted and published in a scientific peer-reviewed journal. TRIAL REGISTRATION NUMBER: UMIN000024069; Pre-results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.