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Biomedical subjects

H K Florig

Publications and source records attributed to H K Florig.

8 recordsLinked to original sources

Alternative goals and policy mechanisms for radiation protection.

For decades, radiation protection philosophy and practice have been the domain of professionals trained in the physical and medical sciences. Radiation protection policy was formulated and implemented largely without consultation with or participation by other professional disciplines or the general public. Although, from a public health standpoint, past radiation protection efforts have worked well, there are growing signs that the public has lost confidence in the radiation risk management system as currently configured. This paper draws on perspectives of political science, social psychology, economics, and decision analysis to analyze the limitations of the current radiation protection regime and to suggest alternatives for enhancing public trust and improving efficacy.

Community Participation↗

A deliberative method for ranking risks (I): Overview and test bed development.

Risk ranking offers a potentially powerful means for gathering public input to help set risk-management priorities. In most rankings conducted to date, the categories and attributes used to describe the risks have varied widely, the materials and procedures have not been designed to facilitate comparisons among risks on all important attributes, and the validity and reproducibility of the resulting rankings have not been assessed. To address these needs, a risk-ranking method was developed in which risk experts define and categorize the risks to be ranked, identify the relevant risk attributes, and characterize the risks in a set of standardized risk summary sheets, which are then used by lay or other groups in structured ranking exercises. To evaluate this method, a test bed involving 22 health and safety risks in a fictitious middle school was created. This article provides an overview of the risk-ranking method and describes the challenges faced in designing the middle school test bed. A companion article in this issue reports on the validity of the ranking procedures and the level of agreement among risk managers regarding ranking of risks and attributes.

Adolescent↗

A deliberative method for ranking risks (II): Evaluation of validity and agreement among risk managers.

A deliberative method for ranking risks was evaluated in a study involving 218 risk managers. Both holistic and multiattribute procedures were used to assess individual and group rankings of health and safety risks facing students at a fictitious middle school. Consistency between the rankings that emerged from these two procedures was reasonably high for individuals and for groups, suggesting that these procedures capture an underlying construct of riskiness. Participants reported high levels of satisfaction with their groups' decision-making processes and the resulting rankings, and these reports were corroborated by regression analyses. Risk rankings were similar across individuals and groups, even though individuals and groups did not always agree on the relative importance of risk attributes. Lower consistency between the risk rankings from the holistic and multiattribute procedures and lower agreement among individuals and groups regarding these rankings were observed for a set of high-variance risks. Nonetheless, the generally high levels of consistency, satisfaction, and agreement suggest that this deliberative method is capable of producing risk rankings that can serve as informative inputs to public risk-management decision making.

Adolescent↗

Categorizing risks for risk ranking.

Any practical process of risk ranking must group hazards into a manageable number of categories. Defining such categories requires value choices that can have important implications for the rankings that result. Most risk-management organizations will find it useful to begin defining categories in terms of environmental loadings or initiating events. However, the resulting categories typically need to be modified in light of other considerations. Risk-ranking projects can benefit from considering several alternative categorization strategies and drawing upon elements of each in developing their final categorization of risks. In principle, conducting multiple ranking exercises by using different categorizations could be interesting and useful. In practice, agencies are unlikely to have either the resources or patience to do this, but other groups in society might. Done well, such additional independent rankings could add valuable inputs to democratic risk-management decision making.

Air Pollution, Indoor↗

Lay understanding of low-frequency electric and magnetic fields.

People do not start with a blank slate when they hear risk-communication messages. All such messages are processed through existing knowledge structures and understanding. Hence, to design effective and reliable risk-communication materials one must understand the state of people's knowledge--correct and incorrect--about an issue. We developed a simple "mental model" of what people minimally need to know to make informed decisions about field-related issues. Then we performed studies to explore how and to what extent respondents of various groups understood physical properties of 60-Hz electric and magnetic fields. Actual knowledge of respondents was then compared with the predicates of the model. Electrical engineering juniors and semi-technical employees of utilities displayed a good command of most of the concepts in the simple model, but little awareness of the limits to their knowledge. Lay respondents correctly knew only a few of the simplest elements of the model, but they displayed a much greater awareness of the limits to their knowledge. Both lay and semi-technical respondents were found to share several misconceptions. On average, they correctly rank-ordered some common field-exposure conditions by field strength, but they could not differentiate between electric and magnetic fields and could not differentiate among field strengths associated with different appliances. Most respondents dramatically underestimated the range of actual field strengths. Many respondents understood that field strength decreases with distance from a source, but they underestimated the rate of decrease. In contrast to X-rays and microwaves, which respondents appeared to think about in rather similar terms, 60-Hz fields were not thought of as being highly similar to any other agent, although the closest parallels were found with ultrasound. Changes in mood, thought, and behavior, and the existence of an "electrical aura," were all seen as plausible results of exposure to a 60-Hz field. Although lay respondents displayed a variety of incomplete and confusing ideas, most of these ideas probably do not pose significant obstacles to the learning of a correct, simple, mental model.

Communication Barriers↗

Power-frequency magnetic fields from electric blankets.

Power-frequency (50/60 Hz) magnetic fields produced by electric blankets are estimated from data on blanket design using a three-dimensional computer model. Maximum, minimum, and volume-average fields within human forms are presented as a function of blanket type and a number of geometric factors including body size, body-blanket separation, and lateral body position. When blankets are heating, typical flux densities range from a few tenths of microtesla (microT) on the side of the body farthest from the blanket up to a few tens of microtesla on the side closest to the blanket. Superposition results in local minima within the body that approach zero field intensity. Across the blanket-using population, flux densities averaged over the whole body range from 1.5-3.3 microT with typical values of 2.2 microT.

Adult↗

Measurements of housing density along transmission lines.

One of the fundamental inputs to models of population exposure to the power-frequency fields of high-voltage transmission lines is the density of population about the lines. We examined aerial photographs of over 1,700 km of transmission corridor to characterize the density of nearby housing units. The data show that the density of houses within 200 m of transmission lines 1) is typically smaller than the average density of houses in the local utility's service area, 2) tends to increase with distance from the line, and 3) is inversely correlated with line voltage.

Electromagnetic Fields↗