USDOE Human Subjects Research Database, fiscal year 1995

Oak Ridge National Laboratory


Project Identification:

Project Identifier: ORNL-94-35

Project Title:

Data Acquisition for Appliance Oriented EMF Exposure Assessment

Principle Investigator: Dr. Paul C. Gailey

Project started in: 1994


Fiscal Year 1995 Funding for Research on Human Subjects:

Project Funding Information:
Project received funding in Fiscal Year 1995.
Project used human subjects in Fiscal Year 1995.

Funding Sources:

DOE: Office of Energy Management
Amount: $120,000


Information on Use of Human Subjects:

Project does not involve use of multiple protocols/subprojects.

IRB Review:
Type of Review: Expedited
Most Recent Approval: August 03, 1995

Number of Human Subjects in the Last Reporting Period for this Project: 49
(Reporting periods vary.)

Type of Human Subjects Involvement:

Questionnaires, Surveys, Epidemiological Studies:

Use of personally identifiable data from questionnaires, surveys, or epidemiological studies.

Abstract:
(a. Objectives, b. Methodology, c. Ionizing Radiation, Radioactive Substances, or Chemical Substances to which human subjects are exposed, d. Involvement of Human Subjects [d.1. procedures used, d.2. risks if any])

a. To collect data to be used in developing methods for assessing magnetic field exposures originating from home electrical appliances and other residential sources. These data will be used to develop a protocol for assessing appliance exposures.

b. A subset of suitable participants was selected from a larger ongoing epidemiological study. Information was collected on magnetic field sources and personal exposures in each participants house and workplace along with patterns of usage.

c. None.

d1. Subjects wore a small personal dosimeter to measure and record exposure to magnetic fields and took part in an interview. The interview consisted of answering a questionnaire about usage of selected appliances and keeping a time/activity/location diary for 1 week.

d2. No physical risks are involved. Social risk is believed to be minimal to non-existent. The interview data will not be linked to personal identifiers in any publications or reports.


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