Conditions de travail et santé dans les centres d'appels téléphoniques

A la demande d'une quarantaine de médecins du travail préoccupés par les conditions de travail dans les centres d'appels téléphoniques (CT) et la santé des téléopérateurs (TO), une enquête épidémiologique a été conduite par l'INRS.Il s'agit d'étudier, chez des TO, les relations entre, d'une part des contraintes de travail perçues et des marqueurs de santé et d'autre part, des facteurs organisationnels (FO) déclarés par les responsables de plateaux et des contraintes au travail perçues par les TO. Il s'agissait donc de mettre en évidence les caractéristiques organisationnelles qui ont des conséquences, via les contraintes, sur la santé en tenant compte des principaux facteurs de confusion.Quatorze FO ont été identifiés comme étant les plus souvent associés aux contraintes. Par ailleurs cette étude met en évidence que les relations entre FO et marqueurs de santé ne sont pas directes et passent le plus souvent par la perception des contraintes.Malgré son caractère transversal, cette étude permet de conclure sur le rôle de certains FO et l'implication de certaines contraintes dans l'apparition de problèmes de santé ouvrant des perspectives de prévention primaire et secondaire tant individuelle (dépistage, surveillance...) que collective (évaluation des conditions de travail et de la santé).Le questionnaire sur les caractéristiques organisationnelles, spécialement élaboré, sera bientôt accessible, et pourra être un instrument utile pour les évaluations de terrain. [Auteurs]

Chronically connected? Internet use among adolescents with chronic conditions.

Little is known about Internet use among adolescents with chronic conditions (CCs). Our results indicate that CC females, but not males, are more likely to be heavy Internet users than their peers. CC youths are also more likely to visit health-related web sites, but less frequently than other sites.

Unraveling dynamics of human physical activity patterns in chronic pain conditions.

Chronic pain is a complex disabling experience that negatively affects the cognitive, affective and physical functions as well as behavior. Although the interaction between chronic pain and physical functioning is a well-accepted paradigm in clinical research, the understanding of how pain affects individuals' daily life behavior remains a challenging task. Here we develop a methodological framework allowing to objectively document disruptive pain related interferences on real-life physical activity. The results reveal that meaningful information is contained in the temporal dynamics of activity patterns and an analytical model based on the theory of bivariate point processes can be used to describe physical activity behavior. The model parameters capture the dynamic interdependence between periods and events and determine a 'signature' of activity pattern. The study is likely to contribute to the clinical understanding of complex pain/disease-related behaviors and establish a unified mathematical framework to quantify the complex dynamics of various human activities.

Citizens' preferences for brand name drugs for treating acute and chronic conditions: a pilot study.

Background: Generic drugs have been advocated to decrease the proportion of healthcare costs devoted to drugs, but are still underused. Objective: To assess citizens' preferences for brand name drugs (BNDs) compared with generic drugs for treating acute and chronic conditions. Methods: A questionnaire with eight hypothetical scenarios describing four acute and four chronic conditions was developed, with willingness to pay (WTP) determined using a payment card system randomized to ascending (AO) or descending order (DO) of prices. The questionnaire was distributed with an explanation sheet, an informed consent form and a pre-stamped envelope over a period of 3 weeks in 19 community pharmacies in Lausanne, Switzerland. The questionnaire was distributed to every third customer who also had health insurance, understood French and was aged =16 years (up to a maximum of ten customers per day and 100 per pharmacy). The main outcome measure was preferences assessed by WTP for BNDs as compared with generics, and impact of participants' characteristics on WTP. Results: Of the 1800 questionnaires, 991 were distributed and 393 returned (pharmacy participation rate?=?55%, subject participation rate?=?40%, overall response rate?=?22%); 51.7% were AO and 48.3% DO. Participants were predominantly women (62.6%) and of median age 62 years (range 16-90). The majority (70%) declared no WTP for BNDs as compared with generics. WTP was higher in people with an acute disease than in those with a chronic disease, did not depend on the type of chronic disease, and was higher in people from countries other than Switzerland. Conclusions: Most citizens visiting pharmacies attribute no added value to BNDs as compared with generics, although some citizen characteristics affected WTP. These results could be of interest to several categories of decision makers within the healthcare system.

Etude de mentions manuscrites apposées dans des conditions non conventionnelles (dans le cadre des articles 322-1 à 322-4 du nouveau code pénal français)

Résumé Les experts forensiques en documents peuvent être confrontés à des écritures réalisées en conditions non conventionnelles. Ces circonstances atypiques pourraient être à l'origine d'une plus grande variabilité de la forme de l'écriture, en particulier lorsque des positions à priori inhabituelles du corps et / ou du support sont impliquées. En effet, en dépit de son aspect stéréotypé /standardisé évident, résultat d'un apprentissage par un modèle, notre écriture est caractérisée par une variabilité intrinsèque de la forme, qui évolue au cours du temps et qui, dans sa dimension qualitative, confère à l'écriture son caractère individuel. En d'autres termes, nous n'écrivons jamais deux fois de la même façon. Cette variabilité intraindividuelle (ou intra-variabilité) observée en condition conventionnelle, c'est-à-dire assis devant un support horizontal, pourrait augmenter en conditions non conventionnelles, par exemple dans une position inconfortable. Cela pourrait rendre plus difficile l'identification d'écrits apposés dans une condition non conventionnelle ou inconnue. Ne pas connaître les circonstances d'apposition d'une mention manuscrite ou ne pas s'interroger sur ces dernières, pourrait conduire l'expert à faire des erreurs d'appréciation. Et le simple fait d'étudier une trace sur laquelle le corps peut exercer une influence fait de l'expertise en écriture une spécialité qui se distingue des autres disciplines forensiques. En cela, la trace écrite diffère des autres types de traces "inanimées" (physiques, chimiques, bigchimiques) considérées comme invariables (mais potentiellement sensibles à d'autres phénomènes tels que la température, la pression atmosphérique...). En effet, le mouvement d'écriture étant commandé et contrôlé par le cerveau, cela lui confère une certaine variabilité. Il est donc assez logique de penser que la connaissance des mécanismes neuroscientifiques à l'origine de ce mouvement facilitera la compréhension des phénomènes observés d'un point de vue forensique. Deux expériences ont été menées afin de comparer les performances de sujets écrivant dans différentes conditions (conventionnelle vs. non conventionnelles). Les résultats ont montré que cinq des sept conditions non conventionnelles n'avaient pas d'impact significatif sur la variabilité d'écriture. L'ensemble des résultats fournit aux experts forensiques des pistes leur permettant de mieux appréhender les écritures rédigées dans des conditions inhabituelles.

Shallow-platform palaeoenvironmental conditions recorded in deep-shelf sediments: C and stable isotopes in Upper Jurassic sections of southern Germany (Oxfordian-Kimmeridgian)

A high-resolution carbon and oxygen isotope analysis of Late Oxfordian-Early Kimmeridgian deep-shelf sediments of southern Germany is combined with investigation of nannofossil assemblage composition and sedimentological interpretations in order to evaluate the impact of regional palaeoenvironmental conditions on isotopic composition of carbonates. This study suggests that carbonate mud was essentially derived from the Jura shallow platform environments and also that the isotopic signature of carbonates deposited in the Swabian Alb deep shelf indirectly expresses the palaeoenvironmental evolution of the platform. Short-term fluctuations in delta(13) C and delta(18)O are probably controlled by changes in salinity (fresh-water input versus evaporation) in platform environments. Long-term fluctuations in carbon and oxygen isotope record throughout the Late Oxfordian-Early Kimmeridgian result from the interplay of increasing temperature and decreasing humidity, which both control the trophic level. Changes from mesotrophic to oligotrophic conditions in platform environments and in the deep-shelf surface waters are inferred. During the Late Oxfordian (Bimammatum Subzone to Planula Zone), the delta(13)C curve displays a positive shift of about 1 parts per thousand, which is comparable in intensity to global perturbations of the carbon cycle. This evident isotopic shift has not been documented yet in other basinal settings. It can be reasonably explained by local palaeoenvironmental changes on the Jura platform (salinity, temperature, and nutrient availability) that controlled platform carbonate production, and the geochemistry of overlying waters. However, increasing carbonate production on the Jura platform and related positive delta(13)C shifts recorded in the Swabian Alb deep shelf are the regional signatures of climatic changes affecting other palaeogeographical domains of Europe in which the carbonate production increased throughout the Late Oxfordian. (C) 2002 Elsevier Science B.V. All rights reserved.

Analysis and spatial modeling of the indoor radon Swiss data

The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.

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.