PubMed · 15371759
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Debra Spunt, Dawn Foster, Kara Adams. Mock code: a clinical simulation module.. https://doi.org/10.1097/00006223-200409000-00009
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OBJECTIVE: The aims of this study were to examine the association of smoking with the occurrence, frequency, and severity of hot flashes and to determine whether the mechanism by which active cigarette smoking increases the risk of hot flashes is by lowering estradiol and estrone levels. METHODS: A case-control study was conducted among women aged 45-54 years to examine risk factors for hot flashes. Cases were women who reported ever experiencing hot flashes (n = 353). Controls were women who reported never experiencing hot flashes (n = 258). Each participant completed a questionnaire and provided a blood sample that was used to measure estradiol and estrone levels. RESULTS: The results showed that both current and ever smokers had higher odds than never smokers of experiencing any and more severe hot flashes. Further, significant positive associations were observed between frequency and duration of smoking and the experiencing of any and more severe hot flashes. Smoking was not associated with estradiol or estrone levels in univariate analyses. In addition, the odds ratios for the associations between the cigarette smoking variables and hot flashes did not change when the hormone variables were added to the model. CONCLUSIONS: These findings indicate that smoking is associated with the occurrence of any and more severe hot flashes, independent of estrogen levels.
BACKGROUND: End-stage renal disease is epidemic within the United States among certain high-risk groups. The National Kidney Disease Education Program examined the awareness of chronic kidney disease (CKD) risk factors among primary care physicians who treat high-risk populations, such as African Americans, persons with diabetes, persons with hypertension, and family members of dialysis patients. METHODS: We conducted a survey of 465 primary care physicians in 4 communities with high-risk populations. Respondents were asked to score 9 potential CKD risk factors on a 4-point scale graded from "Does not increase risk at all" to "Increases risk greatly." Potential risk factors included African-American race, diabetes, hypertension, and family history of CKD. RESULTS: Respondents saw a mean of 414 +/- 222 (SD) patients/mo. Primary care physicians were more likely to report that diabetes and hypertension were significant risk factors for CKD. Conversely, 34.4% did not consider family history of kidney disease to increase the risk for CKD, and 22% of respondents did not consider African-American race a CKD risk factor. CONCLUSION: Primary care physicians need targeted education to increase awareness of populations at high risk for CKD.
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