Santé au travail : approche moléculaire pour évaluer le risque de l'exposition aux bioaérosols sur les lieux de travail

RESUME : Dans de nombreux environnements professionnels, des travailleurs sont exposés à des bioaérosols, que ce soit des bactéries, champignons, virus ou fragments de microorganismes. Ces bioaérosols peuvent être responsables de maladies infectieuses (p.ex. légionellose), ou de maladies non infectieuses (touchant principalement les voies respiratoires). Cependant, pour une majorité des bioaérosols, les relations entre une exposition à une certaine dose et les effets sur la santé humaine sont peu connues. Ce manque de connaissances étant dû principalement à une absence de méthodes adéquates permettant de quantifier cette exposition. La real-time quantitative PCR (Q-PCR) est un outil basé sur la quantification du DNA dont le potentiel de quantification des bioaérosols dans des environnements professionnels n'a pas été exploré. Le but de ce travail est de développer une méthode de Q-PCR permettant de quantifier des bioaérosols - en particulier des bactéries - et d'appliquer ces techniques pour des mesures préventives sur les lieux de travail. Dans ce travail, la Q-PCR a été appliquée à 1a quantification de pathogènes, de groupes taxonomiques spécifiques et de la charge bactérienne totale dans des environnements de travail, stations d'épuration et élevages industriels de volailles. Nous avons montré que la Q-PCR : 1) est capable de quantifier des pathogènes difficilement cultivables si ceux-ci sont présents en concentration importante, 2) a le potentiel pour être un outil performant dans l'étude des communautés bactériennes présentes dans l'air d'environnements professionnels, 3) est aussi performante que le comptage total des bactéries par DAPI pour quantifier 1a charge bactérienne totale et est donc une alternative prometteuse aux techniques culture-dépendantes. La Q-PCR pourrait être utilisée afin d'établir des relations doses-réponses pour la charge bactérienne ; soit dans des populations de travailleurs hautement exposés (p.ex. les éleveurs de volailles), soit en exposant des cellules à des concentrations de bioaérosols mesurées par Q-PCR. ABSTRACT : Many workers are exposed to bioaerosols such as bacteria, fungi, viruses or fragments of microorganisms. These bioaerosols can be responsible of infectious (e.g. legionellosis) or non infectious diseases (mainly respiratory symptoms). However, for a majority of them, the relationship between exposure and effects on human health is not clearly established. This is mainly due to the lack of valid quantitative assessment methods. Real-time quantitative PCR (Q-PCR) is a tool based on the quantification of DNA, of which the potential for the quantification of bioaerosols in work environments has not yet been explored. The aim of this work was to develop a Q-PCR method permitting to quantify bioaerosols -mainly bacteria and to apply those techniques in occupational environments. In this work, Q-PCR was applied to the quantification of pathogens, of specific taxonomic groups and of the total bacterial load in two different occupational settings, namely wastewater treatment plants and poultry houses. We showed that Q-PCR : 1) is capable of quantifying difficult to cultivate pathogens; when they are present at high concentrations, 2) has the potential to be a useful tool for studying bacterial communities in the air of work environments, 3) is as efficient as epifluorescence for the quantification of total bacterial load, and is a promising alternative to the culture-dependent methods. Q-PCR could be used to establish doses-responses relationships for bacterial load, either in populations of highly exposed workers such as poultry farmers, or by exposing cells to concentrations of bioaerosols quantified with Q-PCR.

Lorsque le patient obèse ne perd pas de poids ou continue a en prendre... [When the obese patient can't lose any weight or keeps putting some on].

The traditional obesity treatments have proven to be ineffective in the long-term. The presence of eating disorders frequently explains this phenomena. Eating educational and behavioral aspects must be addressed in a practical way so that patients could gradually become aware of their behavior towards food as well as internal sensations associated with hunger, satiety, craving and pleasure. Finally, the link between emotions and compulsive eating behaviors during and between meals is an essential aspect that the general practitioner can help the patient to understand. A specialized psychological treatment can then be considered when the patient shows sufficient motivation and consciousness.

Work and health : remodelling perspectives of working life research, as proposed by Järvholm et al. (2009)

Järvholm and Co-workers (2009) proposed a conceptual model for research on working life. Models are powerful communication and decision tools. This model is strongly unidirectional and does not cover the mentioned interactions in the arguments.With help of a genealogy of work and of health it is shown that work and health are interactive and have to be analysed on the background of society.Key words: research model, work, health, occupational health, society, interaction, discussion paperRemodellierung der von Järvholm et al. (2009) vorgeschlagenen Forschungsperspektiven in Arbeit und GesundheitJärvholm und Kollegen stellten 2009 ein konzeptionelles Modell für die Forschung im Bereich Arbeit und Gesundheit vor. Modelle stellen kraftvolle Kommunikations- und Entscheidungsinstrumente dar. Die Einflussfaktoren im Modell verlaufen jedoch nur in einer Richtung und bilden die interaktiven Argumente im Text nicht ab. Mit Hilfe einer Genealogie der Begriffe Arbeit und Gesundheit wird aufgezeigt, dass Arbeit und Gesundheit sich gegenseitig beeinflussen und nur vor dem Hintergrund der jeweiligen gesellschaftlichen Kontextfaktoren zu analysieren sind.Introduction : After an interesting introduction about the objectives of research on working life, Järvholm and Co-workers (2009) manage to define a conceptual model for working life research out of a small survey of Occupational Safety and Health (OSH) definitions. The strong point of their model is the entity 'working life' including personal development, as well as career paths and aging. Yet, the model Järvholm et al. (2009) propose is strangely unidirectional; the arrows point from the population to working life, from there to health and to disease, as well as to productivity and economic resources. The diagram only shows one feed-back loop: between economic resources and health. We all know that having a chronic disease condition influences work and working capacity. Economic resources have a strong influence on work, too. Having personal economic resources will influence the kind of work someone accepts and facilitate access to continuous professional education. A third observation is that society is not present in the model, although this is less the case in the arguments. In fact, there is an incomprehensible gap between the arguments brought forth by Järvholm and co-workers and their reductionist model.Switzerland has a very low coverage of occupational health specialists. Switzerland is a long way from fulfilling the WHO's recommendations on workers' access to OSH services as described in its Global plan of action. The Institute for Work and Health (IST) in Lausanne is the only organisation which covers the major domains of OSH research that are occupational medicine, occupational hygiene, ergonomic and psychosocial research. As the country's sole occupational health institution we are forced to reflect the objectives of working life research so as not to waste the scare resources available.I will set out below a much shortened genealogy of work and of health, with the aim of extending Järvholm et al's (2009) analyses on the perspectives of working life research in two directions. Firstly towards the interactive nature of work and health and the integration of society, and secondly towards the question of what working life means or where working life could be situated.Work, as we know it today - paid work regulated by a contract as the basis for sustaining life and as a base for social rights - was born in modern era. Therefore I will start my genealogy in the pre-modern era, focus on the important changes that occurred during industrial revolution and the modern era and end in 2010 taking into account the enormous transformations of the past 20-30 years. I will put aside some 810 years of advances in science and technology that have expanded the world's limits and human understanding, and restrict my genealogy to work and to health/body implicating also the societal realm. [Author]

INTERMED predicts non-return to work in an occupational rehabilitation setting for individuals with orthopaedic trauma-Part I

Introduction.- Knowledge of predictors of an unfavourable outcome, e.g. non-return to work after an injury enables to identify patients at risk and to target interventions for modifiable predictors. It has been recently shown that INTERMED; a tool to measure biopsychosocial complexity in four domains (biologic, psychologic, social and care, with a score between 0-60 points) can be useful in this context. The aim of this study was to set up a predictive model for non-return to work using INTERMED in patients in vocational rehabilitation after orthopaedic injury.Patients and methods.- In this longitudinal prospective study, the cohort consisted of 2156 consecutively included inpatients with orthopaedic trauma attending a rehabilitation hospital after a work, traffic or sport related injury. Two years after discharge, a questionnaire regarding return to work was sent (1502 returned their questionnaires). In addition to INTERMED, 18 predictors known at baseline of the rehabilitation were selected based on previous research. A multivariable logistic regression was performed.Results.- In the multivariate model, not-returning to work at 2 years was significantly predicted by the INTERMED: odds-ratio (OR) 1.08 (95% confidence interval, CI [1.06; 1.11]) for a one point increase in scale; by qualified work-status before the injury OR = 0.74, CI (0.54; 0.99), by using French as preferred language OR = 0.60, CI (0.45; 0.80), by upper-extremity injury OR = 1.37, CI (1.03; 1.81), by higher education (> 9 years) OR = 0.74, CI (0.55; 1.00), and by a 10 year increase in age OR = 1.15, CI (1.02; 1.29). The area under the receiver-operator-characteristics curve (ROC)-curve was 0.733 for the full model (INTERMED plus 18 variables).Discussion.- These results confirm that the total score of the INTERMED is a significant predictor for return to work. The full model with 18 predictors combined with the total score of INTERMED has good predictive value. However, the number of variables (19) to measure is high for the use as screening tool in a clinic.

INTERMED predicts non-return to work in an occupational rehabilitation setting for individuals with orthopaedic trauma-part 2

Introduction.- The model presented in part I (19 predictors) had good predictive values for non-return to work 2 years after vocational rehabilitation for orthopaedic trauma. However, the number of predictors is high for the detection of patients at risk in a clinic. For example, the INTERMED for itself consists of 20 questions and needs 20 minutes to be filled in. For this reason, the aim of this study was to compare the predictive value of different models for the prediction of non-return to work.Patients and methods.- In this longitudinal prospective study, the cohort consisted of 2156 included inpatients with orthopaedic trauma attending a rehabilitation hospital after a work, traffic, sport or leisure related injury. Two years after discharge, 1502 patients returned a questionnaire regarding return to work. We compared the area under the receiver-operator-characteristics curve (ROC) between different models: INTERMED total score, the 4 partial INTERMED scores, the items of the most predictive partial score; with or without confounders.Results.- The ROC for the total score of the INTERMED plus the five confounders of the of the part one (qualified work, speaking French, lesion of upper extremity, education and age) was 0.72. The sole partial INTERMED score to predict return to work was the social sub score. The ROC for the five items of the latter sub score of the INTERMED was 0.69. The ROC for the five items of the social subscale of the INTERMED combined with five predictors was 0.73. This was significantly better than the use of only the five items from INTERMED alone (delta 0.034; 95% CI 0.017 to .050). The model presented in part I (INTERMED total score plus 18 predictors) was not significantly better than the five items INTERMED social score plus five confounders.Discussion.- The use of a model with ten variables (INTERMED social five items plus five confounders) has good predictive value to detect patients not returning to work after vocational rehabilitation after orthopaedic trauma. The parsimony of this model facilitates its use in a clinic for the detection of patients at risk.

Predicting Non Return to Work after Orthopaedic Trauma: The Wallis Occupational Rehabilitation RisK (WORRK) Model.

BACKGROUND: Workers with persistent disabilities after orthopaedic trauma may need occupational rehabilitation. Despite various risk profiles for non-return-to-work (non-RTW), there is no available predictive model. Moreover, injured workers may have various origins (immigrant workers), which may either affect their return to work or their eligibility for research purposes. The aim of this study was to develop and validate a predictive model that estimates the likelihood of non-RTW after occupational rehabilitation using predictors which do not rely on the worker's background. METHODS: Prospective cohort study (3177 participants, native (51%) and immigrant workers (49%)) with two samples: a) Development sample with patients from 2004 to 2007 with Full and Reduced Models, b) External validation of the Reduced Model with patients from 2008 to March 2010. We collected patients' data and biopsychosocial complexity with an observer rated interview (INTERMED). Non-RTW was assessed two years after discharge from the rehabilitation. Discrimination was assessed by the area under the receiver operating curve (AUC) and calibration was evaluated with a calibration plot. The model was reduced with random forests. RESULTS: At 2 years, the non-RTW status was known for 2462 patients (77.5% of the total sample). The prevalence of non-RTW was 50%. The full model (36 items) and the reduced model (19 items) had acceptable discrimination performance (AUC 0.75, 95% CI 0.72 to 0.78 and 0.74, 95% CI 0.71 to 0.76, respectively) and good calibration. For the validation model, the discrimination performance was acceptable (AUC 0.73; 95% CI 0.70 to 0.77) and calibration was also adequate. CONCLUSIONS: Non-RTW may be predicted with a simple model constructed with variables independent of the patient's education and language fluency. This model is useful for all kinds of trauma in order to adjust for case mix and it is applicable to vulnerable populations like immigrant workers.

Potential of education-based insulin therapy for achievement of good metabolic control: a real-life experience.

Diabet. Med. 28, 539-542 (2011) ABSTRACT: Aims  Achievement of good metabolic control in Type 1 diabetes is a difficult task in routine diabetes care. Education-based flexible intensified insulin therapy has the potential to meet the therapeutic targets while limiting the risk for severe hypoglycaemia. We evaluated the metabolic control and the rate of severe hypoglycaemia in real-life clinical practice in a centre using flexible intensified insulin therapy as standard of care since 1990. Methods  Patients followed for Type 1 diabetes (n = 206) or those with other causes of absolute insulin deficiency (n = 17) in our outpatient clinic were analysed in a cross-sectional study. Mean age (± standard deviation) was 48.9 ± 15.7 years, with diabetes duration of 21.4 ± 14.4 years. Outcome measures were HbA(1c) and frequency of severe hypoglycaemia. Results  Median HbA(1c) was 7.1% (54 mmol/mol) [interquartile range 6.6-7.8 (51-62 mmol/mol)]; a good or acceptable metabolic control with HbA(1c) < 7.0% (53 mmol/mol) or 7.5% (58 mmol/mol) was reached in 43.5 and 64.6% of the patients, respectively. The frequency of severe hypoglycaemic episodes was 15 per 100 patient years: 72.3% of the patients did not experience any such episodes during the past 5 years. Conclusions  Good or acceptable metabolic control is achievable in the majority of patients with Type 1 diabetes or other causes of absolute insulin deficiency in routine diabetes care while limiting the risk for severe hypoglycaemia.

ProDoc Health@Work

ProDoc is a joint initiative between three universities in Switzerland to provide education and research opportunities for PhD students across the country. Importantly, the scheme is set to produce a new generation who will help strengthen switzerland's research into occupational health and, better still, contribute on an international platform.

Association of working conditions with self-reported work-related symptoms: results from the Swiss dataset of the European Working Conditions Survey

Working conditions are important determinants of health. The aims of this article are to 1) identify working conditions and work characteristics that are associated with workers' perceptions that their work is harmful to their health and 2) identify with what symptoms these working conditions are associated.We used the Swiss dataset from the 2005 edition of the European Working Conditions Survey. The dependent variable was based on the question "Does your work affect your health?". Logistic regression was used to identify a set of variables collectively associated with self-reported work-related adverse health effects.A total of 330 (32%) participants reported having their health affected by work. The most frequent symptoms included backache (17.1%), muscular pains (13.1%), stress (18.3%) and overall fatigue (11.7%). Scores for self-reported exposure to physicochemical risks, postural and physical risks, high work demand, and low social support were all significantly associated with workers' perceptions that their work is harmful to their health, regardless of gender or age. A high level of education was associated with stress symptoms, and reports that health was affected by work was associated with low job satisfaction.Many workers believe that their work affects their health. Health specialists should pay attention to the potential association between work and their patients' health complaints. This is particularly relevant when patients mention symptoms such as muscular pains, backache, overall fatigue, and stress. Specific attention should be given to complaints of stress in highly educated workers.

Apprendre ensemble pourtravailler ensemble: l'education interprofessionnelle, un mythe ou une réalité [Learning together to work together: interprofessional education, a myth or reality?].

This article offers a review of the literature on interprofessional education (EIP), a form of education which brings together members of two or more professions in a joint training. In this course, participants gain knowledge through other professionals and about them. The goal of EIP is to improve collaboration between health professionals and the quality of patient care. The EIP is booming worldwide and seems for from a mere fad. This expansion can be explained by several factors: the increasing importance attributed to the quality of care and patient safety, care changes (aging population and increasing chronic diseases) and the shortage of health professionals. The expectations of the EIP are large, while the evidence supporting its effectiveness is being built.