Mortality among the residents of the Three Mile Island accident area: 1979-1992.

The largest U.S. population exposed to low-level radioactivity released by an accident at a nuclear power plant is composed of residents near the Three Mile Island (TMI) Plant on 28 March 1979. This paper (a collaboration of The University of Pittsburgh and the Pennsylvania Department of Health) reports on the mortality experience of the 32,135 members in this cohort for 1979-1992. We analyzed standardized mortality ratios (SMRs) using a local comparison population and performed relative risk regression modeling to assess overall mortality and specific cancer risks by confounding factors and radiation-related exposure variables. Total mortality was significantly elevated for both men and women (SMRs = 109 and 118, respectively). All heart disease accounted for 43.3% of total deaths and demonstrated elevated SMRs for heart disease of 113 and 130 for men and women, respectively; however, when controlling for confounders and natural background radiation, these elevations in heart disease were no longer evident. Overall cancer mortality was similar in this cohort as compared to the local population (male SMR = 100; female SMR = 101). In the relative risk modeling, there was a significant effect for all lymphatic and hematopoietic tissue in males in relation to natural background exposure (p = 0.04). However, no trend was noted. We found a significant linear trend for female breast cancer risk in relation to increasing levels of TMI-related likely [gamma]-exposure (p = 0.02). Although such a relationship has been noted in other investigations, emissions from the TMI incident were significantly lower than in other documented studies. Therefore, it is unlikely that this observed increase is related to radiation exposure on the day of the accident. The mortality surveillance of this cohort does not provide consistent evidence that radioactivity released during the TMI accident has a significant impact on the mortality experience of this cohort to date. However, continued follow-up of these individuals will provide a more comprehensive description of the morbidity and mortality experience of the cohort.

Adverse lipid and coronary heart disease risk profiles in young women with polycystic ovary syndrome: results of a case-control study.

Polycystic ovary syndrome (PCOS), a disorder of hyperandrogenism and chronic anovulation affects 5%-10% of all women. Women with PCOS often have elevated cardiovascular risk factors. A total of 244 PCOS cases were identified through the Division of Reproductive Endocrinology at Magee-Womens Hospital and were age-matched to 244 neighborhood controls. The average age of cases and controls was 35.3 +/- 7.4 and 36.7 +/- 7.7. Women with PCOS compared to controls had substantially higher LDL-C and total cholesterol levels at each age group under 45 years after adjustment for body mass index, hormone use, and insulin levels. In the over 40-year age group, little difference was noted between cases and controls. Among cases and controls (<40), PCOS predicted LDL-C, total cholesterol and triglycerides, but did not have a significant effect on lipid levels in older cases and controls after controlling for the other variables. The primarily pre- to perimenopausal PCOS cases > or =40 years of age have similar LDL-C and total cholesterol levels as their age-matched controls, probably reflecting the LDL-C increase with age among controls.

Development and testing of the barriers to self-monitoring blood glucose scale.

Low levels of adherence to self-monitoring of blood glucose continue to occur despite its importance in the self-management of diabetes. Currently developed scales measure barriers to all components of diabetes regimen adherence but include only a few items about blood glucose testing. The purpose of this study was to develop the Barriers to Self-Monitoring Blood Glucose Scale and examine its psychometric properties. Data were drawn from two large diabetes clinics affiliated with large metropolitan hospitals. The 80-item scale examined the circumstance, thoughts, and feelings associated with barriers to testing blood glucose. Results suggest that individuals who test less often are more likely to report a higher number of barriers. This scale provides a means for assessing multiple barriers to testing that can provide the basis for healthcare practitioners to design individualized interventions to increase adherence to testing.