geographic variation in cardiovascular inflammation among healthy women in the womens health study地理变异在心血管炎症在健康女性女性健康研究.pdfVIP

geographic variation in cardiovascular inflammation among healthy women in the womens health study地理变异在心血管炎症在健康女性女性健康研究.pdf

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geographic variation in cardiovascular inflammation among healthy women in the womens health study地理变异在心血管炎症在健康女性女性健康研究

Geographic Variation in Cardiovascular Inflammation among Healthy Women in the Women’s Health Study 1,2 3 4,5 6 6,7,8 Cheryl R. Clark *, Brent Coull , Lisa F. Berkman , Julie E. Buring , Paul M. Ridker 1 Division of General Medicine and Primary Care, Brigham and Women’s-Faulkner Hospitalist Program, Harvard Medical School, Boston, Massachusetts, United States of America, 2 Center for Community Health and Health Equity, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America, 3 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America, 4 Harvard Center for Population and Development Studies, Harvard School of Public Health, Boston, Massachusetts, United States of America, 5 Department of Society, Human Development and Health, Harvard School of Public Health, Boston, Massachusetts, United States of America, 6 Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America, 7 Center for Cardiovascular Disease Prevention, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America, 8 Division of Cardiovascular Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America Abstract Background: Geographic variation in traditional cardiovascular disease (CVD) risk factors has been observed among women in the US. It is not known whether state-level variation in cardiovascular inflammation exists or could be explained by traditional clinical risk factors and behavioral lifestyle factors. Methods and Results: We used multilevel linear regression to estimate state-level variation in inflammatory biomarker patterns adjusted for clinica

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