Evidence map›Paper›PMID 28408363›Full record

ArticleJMIR research protocols2017

WittyFit-Live Your Work Differently: Study Protocol for a Workplace-Delivered Health Promotion.

Frédéric Dutheil, Martine Duclos, Geraldine Naughton, Samuel Dewavrin, Thomas Cornet, Pascal Huguet, Jean-Claude Chatard, Bruno Pereira

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02596737 (WittyFit - Live Your Work Differently), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT02596737 naunknown statusnot on this map

WittyFit - Live Your Work Differently

TypeinterventionalSponsorUniversity Hospital, Clermont-FerrandRan2015 to 2018Enrolled100ConditionsMortalityArmswittyFit concept
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  7. Review
  8. Observational
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  12. Exploring the Link between Work Addiction Risk and Health-Related Outcomes Using Job-Demand-Control Model.International journal of environmental research and public health · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Frédéric DutheilCentre Hospitalier Universitaire de Clermont-Ferrand, Service Santé Travail Environnement, Clermont-Ferrand, France.ORCID http://orcid.org/0000-0002-1468-6029
Martine DuclosCentre Hospitalier Universitaire de Clermont-Ferrand, Service de Médecine du Sport, Clermont-Ferrand, France.ORCID http://orcid.org/0000-0002-7158-386X
Geraldine NaughtonAustralian Catholic University, Faculty of Health, School of Exercise Science, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-0534-1627
Samuel DewavrinWittyFit, Paris, France.ORCID http://orcid.org/0000-0002-1987-9161
Thomas CornetWittyFit, Paris, France.ORCID http://orcid.org/0000-0001-5971-0056
Pascal HuguetUniversité Clermont Auvergne, Centre National de la Recherche Scientifique, Laboratoire de Psychologie Sociale et Cognitive, équipe Stress physiologique et psychosocial, Clermont-Ferrand, France.ORCID http://orcid.org/0000-0002-0707-7655
Jean-Claude ChatardCentre Hospitalier Universitaire de Saint-Etienne, Physiologie de l'Exercice, Laboratoire Interuniversitaire de Biologie de la Motricité Equipe d'Accueil 7424, Université de Lyon, Université Jean Monnet, Saint-Etienne, France.ORCID http://orcid.org/0000-0003-2930-9506
Bruno PereiraCentre Hospitalier Universitaire de Clermont-Ferrand, Direction de la Recherche Clinique et de l'Innovation, Clermont-Ferrand, France.ORCID http://orcid.org/0000-0003-3778-7161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMorbidity before retirement has a huge cost, burdening both public health and workplace finances. Multiple factors increase morbidity such as stress at work, sedentary behavior or low physical activity, and poor nutrition practices. Nowadays, the digital world offers infinite opportunities to interact with workers. The WittyFit software was designed to understand holistic issues of workers by promoting individualized behavior changes at the workplace.

objectiveThe shorter term feasibility objective is to demonstrate that effective use of WittyFit will increase well-being and improve health-related behaviors. The mid-term objective is to demonstrate that WittyFit improves economic data of the companies such as productivity and benefits. The ultimate objective is to increase life expectancy of workers.

methodsThis is an exploratory interventional cohort study in an ecological situation. Three groups of participants will be purposefully sampled: employees, middle managers, and executive managers. Four levels of engagement are planned for employees: commencing with baseline health profiling from validated questionnaires; individualized feedback based on evidence-based medicine; support for behavioral change; and formal evaluation of changes in knowledge, practices, and health outcomes over time. Middle managers will also receive anonymous feedback on problems encountered by employees, and executive top managers will have indicators by division, location, department, age, seniority, gender and occupational position. Managers will be able to introduce specific initiatives in the workplace. WittyFit is based on two databases: behavioral data (WittyFit) and medical data (WittyFit Research). Statistical analyses will incorporate morbidity and well-being data. When a worker leaves a workplace, the company documents one of three major explanations: retirement, relocation to another company, or premature death. Therefore, WittyFit will have the ability to include mortality as an outcome. WittyFit will evolve with the waves of connected objects further increasing its data accuracy. Ethical approval was obtained from the ethics committee of the University Hospital of Clermont-Ferrand, France.

resultsWittyFit recruitment and enrollment started in January 2016. First publications are expected to be available at the beginning of 2017.

conclusionsThe name WittyFit came from Witty and Fitness. The concept of WittyFit reflects the concept of health from the World Health Organization: being spiritually and physically healthy. WittyFit is a health-monitoring, health-promoting tool that may improve the health of workers and health of companies. WittyFit will evolve with the waves of connected objects further increasing its data accuracy with objective measures. WittyFit may constitute a powerful epidemiological database. Finally, the WittyFit concept may extend healthy living into the general population.

trial registrationClinicaltrials.gov: NCT02596737; https://www.clinicaltrials.gov/ct2/show/NCT02596737 (Archived by WebCite at http://www.webcitation.org/6pM5toQ7Y).

Indexed as

absenteeismanxietybehaviordepressionhealthlifestylemanagementmhealthmobile appmorbiditymortalitymusculoskeletal disordersnutritionorganizationphysical activitypublic healthsleepstresswork

Identifiers

PMID28408363
PMCPMC5408138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.