Geographic Variation in Cardiovascular Inflammation among Healthy Women in the Women's Health Study

被引:4
作者
Clark, Cheryl R. [1 ,2 ]
Coull, Brent [3 ]
Berkman, Lisa F. [4 ,5 ]
Buring, Julie E. [6 ]
Ridker, Paul M. [6 ,7 ,8 ]
机构
[1] Harvard Univ, Sch Med, Div Gen Med & Primary Care, Brigham & Womens Faulkner Hosp Program, Boston, MA 02215 USA
[2] Brigham & Womens Hosp, Ctr Community Hlth & Hlth Equ, Boston, MA 02115 USA
[3] Harvard Univ, Sch Med, Dept Biostat, Boston, MA USA
[4] Harvard Univ, Sch Publ Hlth, Harvard Ctr Populat & Dev Studies, Boston, MA 02115 USA
[5] Harvard Univ, Sch Publ Hlth, Dept Soc Human Dev & Hlth, Boston, MA 02115 USA
[6] Brigham & Womens Hosp, Div Prevent Med, Boston, MA 02115 USA
[7] Brigham & Womens Hosp, Ctr Cardiovasc Dis Prevent, Boston, MA 02115 USA
[8] Harvard Univ, Brigham & Womens Hosp, Div Cardiovasc Dis, Sch Med, Boston, MA 02115 USA
来源
PLOS ONE | 2011年 / 6卷 / 11期
基金
美国国家卫生研究院;
关键词
C-REACTIVE PROTEIN; OLDER POPULATIONS; STROKE INCIDENCE; HEART-DISEASE; RISK; US; ATHEROSCLEROSIS; PREVENTION; PREDICTION; MORTALITY;
D O I
10.1371/journal.pone.0027468
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 clinical and lifestyle characteristics among 26,029 women free of CVD. Participants derived from the Women's Health Study, a national cohort of healthy middle-aged and older women. Inflammatory biomarker patterns (plasma levels of high-sensitivity C-reactive protein (hsCRP), soluble intercellular adhesion molecule-1 (sICAM-1), and fibrinogen) were compared to state-level patterns of traditional CVD risk factors and global risk scores. We found that all three inflammatory biomarkers exhibited significant state-level variation including hsCRP (lowest vs. highest state median 1.3 mg/L vs. 2.7 mg/L, unadjusted random effect estimate 1(st) to 99(th) percentile range for log hsCRP 0.52, p<.001), sICAM-1 (325 ng/ml vs. 366ng/ml, unadjusted random effect estimate 1(st) to 99(th) percentile range 0.44, p<.001), and fibrinogen (322 mg/dL vs. 367 mg/dL, unadjusted random effect estimate 1(st) to 99(th) percentile range 0.41, p=.001). Neither demographic, clinical or lifestyle characteristics explained away state-level effects in biomarker patterns. Southern and Appalachian states (Arkansas, West Virginia) had the highest inflammatory biomarker values. Regional geographic patterns of traditional CVD risk factors and risk scores did not completely overlap with biomarkers of inflammation. Conclusions: There is state-level geographic variation in inflammatory biomarkers among otherwise healthy women that cannot be completely attributed to traditional clinical risk factors or lifestyle characteristics. Future research should aim to identify additional factors that may explain geographic variation in biomarkers of inflammation among healthy women.
引用
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页数:9
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