Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ?
This paper intends a systematic comparison of the performances of the “naive” epidemiologic models, explaining the prevalence of health issues through existing characteristics of workers. This would be compared to more rigorous models, that will include a history of some former professional exposure...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail (IRSST)
2008-11-01
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| Series: | Perspectives Interdisciplinaires sur le Travail et la Santé |
| Subjects: | |
| Online Access: | http://journals.openedition.org/pistes/2211 |
| _version_ | 1798028199237517312 |
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| author | Thomas Coutrot Loup Wolff |
| author_facet | Thomas Coutrot Loup Wolff |
| author_sort | Thomas Coutrot |
| collection | DOAJ |
| description | This paper intends a systematic comparison of the performances of the “naive” epidemiologic models, explaining the prevalence of health issues through existing characteristics of workers. This would be compared to more rigorous models, that will include a history of some former professional exposures (retrospective static models), or will study the incidence (instead of the prevalence) of the disorders according to either the exposure from the initial date (longitudinal standard models), or the evolution of the exposure (dynamic models).We first show the weakness of the impact of the individual factors of confusion such as the consumption of alcohol and tobacco, living conditions or medical history. However, the correlations between health and employment characteristics highlighted by the naive models remain practically unmodified in the more thorough models. That doesn’t mean that these factors are without effects on health. On the contrary, the analysis shows the importance of some of these effects. But the effects of the professional and the personal factors act in a largely independent way.We then examine the respective merits of “standard” and “dynamic” models. The first explain the incidence of health disorders between two dates by the exposure from the initial date. The second take the evolution of the exposure between the two dates as explanatory variables. Concerning the (infra)pathologies related to stress, the “standard” models appear under-efficient, insofar as they clearly underestimate the impact of the exposures on health disorders. This lack of efficiency is probably due to the greatest reversibility of the disorders in the case of disappearance of the exposure, a phenomenon which the “standard” model confuses with negative correlation between the exposure and the disorder. |
| first_indexed | 2024-04-11T19:03:59Z |
| format | Article |
| id | doaj.art-5b85aad41e10449089646668f0658f96 |
| institution | Directory Open Access Journal |
| issn | 1481-9384 |
| language | English |
| last_indexed | 2024-04-11T19:03:59Z |
| publishDate | 2008-11-01 |
| publisher | Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail (IRSST) |
| record_format | Article |
| series | Perspectives Interdisciplinaires sur le Travail et la Santé |
| spelling | doaj.art-5b85aad41e10449089646668f0658f962022-12-22T04:07:51ZengInstitut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail (IRSST)Perspectives Interdisciplinaires sur le Travail et la Santé1481-93842008-11-0110210.4000/pistes.2211Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ?Thomas CoutrotLoup WolffThis paper intends a systematic comparison of the performances of the “naive” epidemiologic models, explaining the prevalence of health issues through existing characteristics of workers. This would be compared to more rigorous models, that will include a history of some former professional exposures (retrospective static models), or will study the incidence (instead of the prevalence) of the disorders according to either the exposure from the initial date (longitudinal standard models), or the evolution of the exposure (dynamic models).We first show the weakness of the impact of the individual factors of confusion such as the consumption of alcohol and tobacco, living conditions or medical history. However, the correlations between health and employment characteristics highlighted by the naive models remain practically unmodified in the more thorough models. That doesn’t mean that these factors are without effects on health. On the contrary, the analysis shows the importance of some of these effects. But the effects of the professional and the personal factors act in a largely independent way.We then examine the respective merits of “standard” and “dynamic” models. The first explain the incidence of health disorders between two dates by the exposure from the initial date. The second take the evolution of the exposure between the two dates as explanatory variables. Concerning the (infra)pathologies related to stress, the “standard” models appear under-efficient, insofar as they clearly underestimate the impact of the exposures on health disorders. This lack of efficiency is probably due to the greatest reversibility of the disorders in the case of disappearance of the exposure, a phenomenon which the “standard” model confuses with negative correlation between the exposure and the disorder.http://journals.openedition.org/pistes/2211statistical models in epidemiologyhealth and working conditionsindividual factors of confusion |
| spellingShingle | Thomas Coutrot Loup Wolff Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ? Perspectives Interdisciplinaires sur le Travail et la Santé statistical models in epidemiology health and working conditions individual factors of confusion |
| title | Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ? |
| title_full | Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ? |
| title_fullStr | Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ? |
| title_full_unstemmed | Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ? |
| title_short | Mesurer l’impact du travail sur la santé : du longitudinal, oui, mais lequel ? |
| title_sort | mesurer l impact du travail sur la sante du longitudinal oui mais lequel |
| topic | statistical models in epidemiology health and working conditions individual factors of confusion |
| url | http://journals.openedition.org/pistes/2211 |
| work_keys_str_mv | AT thomascoutrot mesurerlimpactdutravailsurlasantedulongitudinalouimaislequel AT loupwolff mesurerlimpactdutravailsurlasantedulongitudinalouimaislequel |