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Enregistrement W2313655357 · doi:10.1097/00001648-200003000-00024

Ethical Considerations Concerning the Regulation of Human Exposure to Electromagnetic Fields

2000· article· en· W2313655357 sur OpenAlexaff
Caterina Botti, Pietro Comba

Notice bibliographique

RevueEpidemiology · 2000
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueRisk Perception and Management
Établissements canadiensBC Studies
Organismes subventionnairesnon disponible
Mots-clésEngineering ethicsMedicineEngineering

Résumé

récupéré en direct d'OpenAlex

Various opinions exist with respect to what should be the role of epidemiologists in the definition of public health policy and what should be the code of conduct in setting policy in the face of uncertainty. 1–8 The issue we wish to discuss is the situation in which the number of attributable cases tends to be small and health benefits must be balanced against relatively high costs of prevention. We use as an example the debate over human exposure to electromagnetic fields. Following the pioneering study by Wertheimer and Leeper, 9 several authors have pursued this topic in different countries. Recently, the National Institute of Environmental Health Sciences in the United States has classified magnetic fields as possible carcinogens, according to the criteria of the International Agency for Research on Cancer. 10 This classification means that the number of attributable cases might in principle even be zero, although, notwithstanding the limitations of study design and the lack of a plausible biological mechanism - the association is regarded as “credible.” In that light it is reasonable to evaluate the merits of various preventive measures. The etiological fraction was estimated to be “small” by Olsen et al11 in Denmark. In Finland, exposure to magnetic fields of transmission power lines at levels close to 0.2 μT did not pose “a major public health risk” according to Verkasalo et al, 12 whereas Valjus stated that “even an extra childhood cancer would be ethically too many”. 13 In Germany Michaelis et al estimated that eight cases of childhood leukemia per year could be attributed to exposure to magnetic fields of 0.2 μT or more. 14 They concluded that despite the tragic fate of affected families, the excess risk associated with exposure to electromagnetic fields has to be evaluated in comparative terms with respect to other excess risks concerning children. In 1996, the Swedish National Boards of Occupational Safety and Health, Housing Building and Planning, Electricity Safety, Health and Welfare and the Radiation Protection Institute issued a document offering “guidance for decision-makers” on this issue. 15 It is claimed that although research findings provide no basis for and cannot justify any safety limits or other restrictions on low-frequency electrical and magnetic fields, a “certain amount of caution” may be justified where this kind of exposure is concerned. 15 The document claimed that although “a human life cannot be valued in money,”15 finite resources makes it impossible for society to save all lives or avert serious illness, thus some balancing is necessary. In all these claims one sees emerging the core issue of deciding whether it is acceptable to leave a small fraction of population to face an increase of risk when the cost of mitigation is expensive for society. Even if a final decision on risk management is taken at the societal level, the input from epidemiologists is relevant to the process. This relevance is underscored when an epidemiologic study estimates a small number of attributable cases in the absence of any comment on the distribution of such cases in various population subgroups. In other words, epidemiologists may not necessarily take a stand in the public health debate, but their findings are heavy with implications nonetheless. Awareness of these implications may be crucial to fulfilling one’s professional obligation as an epidemiologist, according to Weed and McKeown, 8 and it may facilitate practical solutions to policy problems. For electromagnetic fields, the increase in morbidity and mortality affects a small fraction of the population, whereas the cost for the community to avoid this increase is large. Similar conflicts in public health have traditionally been managed on the basis of a cost benefit analysis aimed at maximizing collective welfare. The implicit assumption is that it is not possible to eliminate risks completely, but that they must be minimized where possible. According to this approach there can be situations in which it is not considered immoral for a limited fraction of the population to be exposed to a risk factor that is expensive for the community to remove. Nonetheless, this attitude contrasts not only with the traditional approach of clinical medicine, but also with the preventive aim of epidemiology and public health, 16 according to which the life of each individual has unlimited value. It is widely held that the core values of epidemiology are defined by two different and sometimes conflicting models, the model of public health supporting the public good, and the model of medicine supporting the good of the individual. 17,18 In this second model, the attribution of “an absolute value to a person” is a “fundamental axiom, indispensable for defining the concepts of health and disease that would otherwise escape any definition made purely on objective grounds.”19 These two approaches, with different “core values,” underlie the practice of both environmental epidemiology in particular and epidemiology more generally. 20–22 Usually they can blend together, but sometimes, as for electromagnetic fields, conflict may develop. The two approaches can be cast in terms of “commensurability”vs “incommensurability,” adopting the concepts used in the broad philosophical debate concerning “tragic choices.”23,24 Commensurabilists think that because we cannot avoid tragic choices, we should attach measurable values to the alternatives and try to maximize the general welfare by balancing the alternatives through cost-benefit analysis. Incommensurabilists believe that it is sometimes inappropriate to make comparisons (for instance when human life is at stake), or that while choosing among alternatives it is not always necessary to judge their comparative value. 23 With respect to electromagnetic fields, the question is—must we assign a calculable value to human life and consider a few children to be a negligible cost, or is there another way to make a decision? The question reminds us of the Swedish document that states that “a human life cannot be valued in money” and that the possibilities for societies are limited by the lack of resources. The last section of the document deals with preventive action. Both the number of exposed subjects and the cost of the intervention are taken into account. The cost for estimated prevented case can be a criterion in the evaluation of the feasibility of interventions and in setting priorities. This procedure, although based on a calculation, can be read paradoxically as a sort of incommensurabilist effort: the effort to deal with the problem of a few children, to take into account the value of life (and not to value it) as far as resources (and scientific evidence) allow. In this case the “visibility” of a few children can lead to interesting solutions that are not utopian, and do not deny the importance of the lives of those few children. For example, one solution might be to concentrate preventive efforts in places dedicated to children, such as schools and kindergartens. This solution can be viewed as an application of the precautionary principle, a claim that resonates with Weed and McKeown’s recent call for prudence 8 in linking public health science with public health action, even in the face of uncertainty. We believe that, although they conflict, both commensurabilist and incommensurabilist approaches are at the core of the epidemiologic profession. Solutions must be sought case by case. Being aware of this conflict is a moral imperative for epidemiologists. Awareness seeds the search for a just solution or compromise and enhances communication between scientist, regulators, and the general public. Rendering explicit the moral values underlying the various positions held by public health scientists may in fact represent the first step in improving mutual understanding of, to some extent, apparently conflicting opinions. Acknowledgments We thank Terri Ballard, Roberta Pirastu, and Paolo Vecchia for helpful comments and criticism.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,634
Score d'incertitude au seuil0,991

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0100,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,104
Tête enseignante GPT0,404
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2000
Routes d'admission1
Résumé présentoui

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