Secretion of DDT by lactating cows fed thyroprotein.
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Animals↗
Biomedical subjects
L M Sullivan
Publications and source records attributed to L M Sullivan.
Computing estimates of incidence, including lifetime risk: Alzheimer's disease in the Framingham Study. The Practical Incidence Estimators (PIE) macro.
The incidence of disease is estimated in medical and public health applications using various different techniques presented in the statistical and epidemiologic literature. Many of these methods have not yet made their way to popular statistical software packages and their application requires custom programming. We present a macro written in the SAS macro language that produces several estimates of disease incidence for use in the analysis of prospective cohort data. The development of the Practical Incidence Estimators (PIE) Macro was motivated by research in Alzheimer's Disease (AD) in the Framingham Study in which the development of AD has been prospectively assessed over an observation period of 24 years. The PIE Macro produces crude and age-specific incidence rates, overall and stratified by the levels of a grouping variable. In addition, it produces age-adjusted rates using direct standardization to the combined group. The user specifies the width of the age groups and the number of levels of the grouping variable. The PIE macro produces estimates of future risk for user-defined time periods and the remaining lifetime risk conditional on survival event-free to user-specified ages. This allows the user to investigate the impact of increasing age on the estimate of remaining lifetime risk of disease. In each case, the macro provides estimates based on traditional unadjusted cumulative incidence, and on cumulative incidence adjusted for the competing risk of death. These estimates and their respective standard errors, are provided in table form and in an output data set for graphing. The macro is designed for use with survival age as the time variable, and with age at entry into the study as the left-truncation variable; however, calendar time can be substituted for the survival time variable and the left-truncation variable can simply be set to zero. We illustrate the use of the PIE macro using Alzheimer's Disease incidence data collected in the Framingham Study.
Adult↗
Medical profile of women Veterans Administration outpatients who report a history of sexual assault occurring while in the military.
To profile differences in current physical symptoms and medical conditions among women users of Veterans Administration (VA) health services with and without a self-reported history of sexual assault sustained during military service, we conducted a cross-sectional analysis of a nationally representative, random sample of women veterans using VA outpatient services (n = 3632). A self-administered, mailed survey asked whether women had sustained sexual assault while in the military and requested information about a spectrum of physical symptoms and medical conditions. A history of sexual assault while in the military was reported by 23% of women VA users and was associated with current physical symptoms and medical conditions in every domain assessed. For example, women who reported sexual assault were more likely to indicate that they had a "heart attack" within the past year, even after adjusting for age, hypertension, diabetes, and smoking history (OR 2.3, 95% CI 1.3-4.0). Among women reporting a history of sexual assault while in the military, 26% endorsed > or = 12 of 24 symptoms/conditions, compared with 11% of women with no reported sexual assault while in the military (p < 0.001). Clinicians need to be attuned to the high frequency of sexual assault occurring while in the military reported by women VA users and its associated array of current physical symptoms and medical conditions. Clinicians should consider screening both younger and older patients for a sexual violence history, especially patients with multiple physical symptoms.
Adult↗