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John Eyles

Publications and source records attributed to John Eyles.

21 records · Page 2Linked to original sources

Constructing scientific authorities: issue framing of chlorinated disinfection byproducts in public health.

The practice of chlorine disinfection of drinking water to reduce microbial risks provides substantial benefits to public health. However, increasing concern around potential risks of cancer associated with exposure to chlorinated disinfection byproducts confuses this issue. This article examines the science agenda regarding chlorinated disinfection byproducts (CDBP) and cancer in Canada and the United States, focusing on the social construction of scientific knowledge claims and evidence. Data for this analysis were obtained from published documents as well as from in-depth interviews with epidemiologists and toxicologists centrally involved with the issue in both countries. Results of the analysis suggest that toxicological scientists want to close the door on the "chloroform issue" due to increasing evidence that chloroform is safe at low doses, because epidemiological scientists can no longer move forward the cancer science until significant improvements can be made in assessing human exposures, and because the scientific foci of research on DBP have shifted accordingly. Further, a distinction emerges in terms of how scientific uncertainties are interpreted when they cross-cut disciplines in the context of human health risk assessment. We suggest this tension reflects a balance of how uncertainty and authorities are managed in a mandated science-policy domain. Sufficient evidence was provided to keep the DBP issue on the regulatory agenda and to generate additional research, yet authorities and concomitant interpretations of uncertainty were contested. Such science generation and contestation inevitably influences complex risk assessment processes with respect to what water-related health risks are addressed and how.

Canada↗

Work and life stressors and psychological distress in the Canadian working population: a structural equation modelling approach to analysis of the 1994 National Population Health Survey.

Work stressors are increasingly recognized as potentially important determinants of mental health status. We examined such relationships using a structural equation modelling approach with data on adult, working Canadians who participated in the first wave of the National Population Health Survey (NPHS). Work stressors formed a composite construct with paths from psychological demands, decision latitude, work social support and job insecurity, each measured through a reduced version of the Job Content Questionnaire. Life stressors also formed a composite construct composed of chronic stressors and recent life events. Psychological distress was the outcome, mediated by the latent effect constructs of mastery and self-esteem. Work stressors had consistently positive total effects on distress (sum of standardized path coefficients from 0.004 to 0.153 across gender-occupation strata), with all of these effects mediated through reduced self-esteem and mastery (work stressors to these mediators: -0.188 to -0.413). Life stressors had larger positive total effects on distress (0.462 to 0.536), with the majority of these effects direct.

Adolescent↗

Indicators in environmental health: identifying and selecting common sets.

In association with the proposed goals of the conference, this paper is presented to support the conference discussions on environmental health indicators by providing background on indicators for environmental health and their identification, selection, organization and use. This paper discusses the purpose of indicator use, frameworks used to organize indicators and the common types of indicators in use in monitoring programs today. It proposes a process for the identification and selection of indicators within the different environments, stressing the importance of clear goal definition and scientific and use-based criteria selection to support decisions. Finally, the paper suggests methods by which to organize and limit the number of indicators retained within a program, and the development of a potential "core" of indicators common to many environments and geographical scales.

Ecosystem↗