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Susan L. Stewart
Researcher at University of California, Davis
Publications - 202
Citations - 9254
Susan L. Stewart is an academic researcher from University of California, Davis. The author has contributed to research in topics: Population & Vietnamese. The author has an hindex of 47, co-authored 193 publications receiving 8395 citations. Previous affiliations of Susan L. Stewart include University of San Francisco & University of California.
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Journal ArticleDOI
Pathways to Early Detection of Cervical Cancer for a Multiethnic, Indigent, Emergency Department Population
TL;DR: Preliminary findings suggest that cervical cancer screening can be incorporated into routine ED care, creating an important alternative pathway to early detection for a high-risk population.
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A Cluster Randomized Controlled Trial of a Lay Health Worker Intervention to Increase Healthy Eating and Physical Activity Among Vietnamese Americans.
TL;DR: A lay health worker intervention increased both healthy eating and physical activity knowledge and self-reported behaviors among older Vietnamese Americans.
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FSH Levels Predict Bone Loss in Premenopausal Women Treated for Breast Cancer More Than One Year After Treatment
TL;DR: Among premenopausal women with breast cancer treated with chemotherapy, baseline FSH levels are strongly associated with subsequent bone loss and further studies are needed to establish the optimal timing of FSH measurement in relation to breast cancer treatment.
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Cigarette Smoking and Secondhand Smoke Exposure before and after a Tobacco-Free Olympic Policy Period: Qingdao, China
Jing Zhao,Xiaojing Li,Susan L. Stewart,Weiguo Gao,Fei Qi,Lei Zhang,Zengchang Pang,Qing Qiao,Feng Ning,Elisa K. Tong +9 more
TL;DR: smoking prevalence among men and secondhand smoke exposure among women significantly decreased in Qingdao, China after the tobacco-free Olympics public policy period, and the proportion of lighter smokers decreased more.
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Normal reference values for bladder wall thickness on CT in a healthy population
TL;DR: The study provides reference bladder wall thicknesses on CT utilizing both the ellipsoid formula and automated bladder volumes and creates a parsimonious model using only volume to achieve approximate normality and homogeneity of variance.