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<title><![CDATA[Contents]]></title>
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<dc:date>Tue, 10 Nov 2009 09:23:36 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp012</dc:identifier>
<dc:title><![CDATA[Contents]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
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<prism:publicationDate>2009-11-01</prism:publicationDate>
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<dc:date>Tue, 10 Nov 2009 09:23:36 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp013</dc:identifier>
<dc:title><![CDATA[Subscription]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
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<title><![CDATA[Editorial Board]]></title>
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<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:36 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp014</dc:identifier>
<dc:title><![CDATA[Editorial Board]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>NP</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
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<title><![CDATA[Cover]]></title>
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<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:36 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp015</dc:identifier>
<dc:title><![CDATA[Cover]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>NP</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
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<prism:section>COVER</prism:section>
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<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/1?rss=1">
<title><![CDATA[Epidemiologic Research on Health Disparities: Some Thoughts on History and Current Developments]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/1?rss=1</link>
<description><![CDATA[
<p>In this introduction to volume 31 of <I>Epidemiologic Reviews</I>, the author traces the history of health disparities research in epidemiology and situates the 10 review articles comprising this edition within this history. With the aid of a conceptual model describing the key determinants of health disparities, he offers several suggestions for improving future epidemiologic research on health disparities.</p>
]]></description>
<dc:creator><![CDATA[James, S. A.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:36 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp010</dc:identifier>
<dc:title><![CDATA[Epidemiologic Research on Health Disparities: Some Thoughts on History and Current Developments]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>6</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>1</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/7?rss=1">
<title><![CDATA[Built Environments and Obesity in Disadvantaged Populations]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/7?rss=1</link>
<description><![CDATA[
<p>In the United States, health disparities in obesity and obesity-related illnesses have been the subject of growing concern. To better understand how obesity-related health disparities might relate to obesogenic built environments, the authors conducted a systematic review of the published scientific literature, screening for studies with relevance to disadvantaged individuals or areas, identified by low socioeconomic status, black race, or Hispanic ethnicity. A search for related terms in publication databases and topically related resources yielded 45 studies published between January 1995 and January 2009 with at least 100 participants or area residents that provided information on 1) the built environment correlates of obesity or related health behaviors within one or more disadvantaged groups or 2) the relative exposure these groups had to potentially obesogenic built environment characteristics. Upon consideration of the obesity and behavioral correlates of built environment characteristics, research provided the strongest support for food stores (supermarkets instead of smaller grocery/convenience stores), places to exercise, and safety as potentially influential for disadvantaged groups. There is also evidence that disadvantaged groups were living in worse environments with respect to food stores, places to exercise, aesthetic problems, and traffic or crime-related safety. One strategy to reduce obesity would involve changing the built environment to be more supportive of physical activity and a healthy diet. Based on the authors' review, increasing supermarket access, places to exercise, and neighborhood safety may also be promising strategies to reduce obesity-related health disparities.</p>
]]></description>
<dc:creator><![CDATA[Lovasi, G. S., Hutson, M. A., Guerra, M., Neckerman, K. M.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:36 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp005</dc:identifier>
<dc:title><![CDATA[Built Environments and Obesity in Disadvantaged Populations]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>20</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>7</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/21?rss=1">
<title><![CDATA[Associations Between Childhood Socioeconomic Position and Adulthood Obesity]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/21?rss=1</link>
<description><![CDATA[
<p>Childhood socioeconomic position (SEP) is inversely associated with cardiovascular disease and all-cause mortality. Obesity in adulthood may be a biologic mechanism. Objectives were to systematically review literature published between 1998 and 2008 that examined associations of childhood SEP with adulthood obesity. Five databases (Cochrane Library, MEDLINE, EMBASE, PsycINFO, Web of Science) were searched for studies from any country, in any language. Forty-eight publications based on 30 studies were identified. In age-adjusted analyses, inverse associations were found between childhood SEP and adulthood obesity in 70% (14 of 20) of studies in females and 27% (4 of 15) in males. In studies of females showing inverse associations between childhood SEP and adulthood obesity, typical effect sizes in age-adjusted analyses for the difference in body mass index between the highest and lowest SEP were 1.0&ndash;2.0 kg/m<sup>2</sup>; for males, effect sizes were typically 0.2&ndash;0.5 kg/m<sup>2</sup>. Analyses adjusted for age and adult SEP showed inverse associations in 47% (8 of 17) of studies in females and 14% (2 of 14) of studies in males. When other covariates were additionally adjusted for, inverse associations were found in 4 of 12 studies in females and 2 of 8 studies in males; effect sizes were typically reduced compared with analyses adjusted for age only. In summary, the findings suggest that childhood SEP is inversely related to adulthood obesity in females and not associated in males after adjustment for age. Adulthood SEP and other obesity risk factors may be the mechanisms responsible for the observed associations between childhood SEP and adulthood obesity.</p>
]]></description>
<dc:creator><![CDATA[Senese, L. C., Almeida, N. D., Fath, A. K., Smith, B. T., Loucks, E. B.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp006</dc:identifier>
<dc:title><![CDATA[Associations Between Childhood Socioeconomic Position and Adulthood Obesity]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>51</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>21</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/52?rss=1">
<title><![CDATA[Do Lifestyle or Social Factors Explain Ethnic/Racial Inequalities in Breast Cancer Survival?]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/52?rss=1</link>
<description><![CDATA[
<p>Despite numerous studies documenting ethnic inequalities in breast cancer survival between minority and majority ethnic groups worldwide, reasons for these inequalities remain unclear. The authors performed a systematic review of published literature to identify studies that investigated the explanatory power of smoking, alcohol consumption, body mass index (BMI), and socioeconomic position (SEP) on ethnic inequalities in breast cancer survival. Sixteen studies were included in the review. From 5 studies, the authors found that differences in breast cancer survival between ethnic groups may be in part explained by BMI, but there was little evidence to implicate smoking or alcohol consumption as explanatory factors of this inequality. From 12 studies, the authors found that SEP explains part of the ethnic inequality in all-cause survival but that it was not evident for breast-cancer-specific survival. SEP explains more of the disparities among African-American versus white women in the United States compared with other ethnic comparisons. Furthermore, given social patterning of BMI and other lifestyle habits, it is possible that results for SEP and BMI are measuring the same effect. In this review, the authors make suggestions regarding the role of epidemiology in facilitating further research to better inform the development of effective policies to address ethnic differences in survival.</p>
]]></description>
<dc:creator><![CDATA[McKenzie, F., Jeffreys, M.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp007</dc:identifier>
<dc:title><![CDATA[Do Lifestyle or Social Factors Explain Ethnic/Racial Inequalities in Breast Cancer Survival?]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>66</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>52</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/67?rss=1">
<title><![CDATA[Environmental Contributions to Disparities in Pregnancy Outcomes]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/67?rss=1</link>
<description><![CDATA[
<p>One of the most persistent disparities in American health status is the pronounced difference in birth outcomes between non-Hispanic black and non-Hispanic white women. Poor pregnancy outcomes have a substantial impact on mortality, morbidity, and health care costs. Increasing evidence indicates that environmental exposures are associated with poor birth outcomes. This paper reviews the latest research on how environmental exposures affect pregnancy outcomes and then discusses how these exposures may be embedded within a context of significant social and host factor stress. The analysis suggests that environmental, social, and host factors are cumulatively stressing non-Hispanic black women and that this cumulative stress may be a cause of the persistent disparities in pregnancy outcomes.</p>
]]></description>
<dc:creator><![CDATA[Miranda, M. L., Maxson, P., Edwards, S.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp011</dc:identifier>
<dc:title><![CDATA[Environmental Contributions to Disparities in Pregnancy Outcomes]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>83</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>67</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/84?rss=1">
<title><![CDATA[What Causes Racial Disparities in Very Preterm Birth? A Biosocial Perspective]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/84?rss=1</link>
<description><![CDATA[
<p>Very preterm birth (&lt;32 weeks&rsquo; gestation) occurs in approximately 2% of livebirths but is a leading cause of infant mortality and morbidity in the United States. African-American women have a 2-fold to 3-fold elevated risk compared with non-Hispanic white women for reasons that are incompletely understood. This paper reviews the evidence for the biologic and social patterning of very preterm birth, with attention to leading hypotheses regarding the etiology of the racial disparity. A systematic review of the literature in the MEDLINE, CINAHL, PsycInfo, and EMBASE indices was conducted. The literature to date suggests a complex, multifactorial causal framework for understanding racial disparities in very preterm birth, with maternal inflammatory, vascular, or neuroendocrine dysfunction as proximal pathways and maternal exposure to stress, racial differences in preconceptional health, and genetic, epigenetic, and gene-environment interactions as more distal mediators. Interpersonal and institutionalized racism are mechanisms that may drive racially patterned differences. Current literature is limited in that research on social determinants and biologic processes of prematurity has been generally disconnected. Improved etiologic understanding and the potential for effective intervention may come with better integration of these research approaches.</p>
]]></description>
<dc:creator><![CDATA[Kramer, M. R., Hogue, C. R.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/ajerev/mxp003</dc:identifier>
<dc:title><![CDATA[What Causes Racial Disparities in Very Preterm Birth? A Biosocial Perspective]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>98</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>84</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/99?rss=1">
<title><![CDATA[Health Disparities in the Latino Population]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/99?rss=1</link>
<description><![CDATA[
<p>In this review, the authors provide an approach to the study of health disparities in the US Latino population and evaluate the evidence, using mortality rates for discrete medical conditions and the total US population as a standard for comparison. They examine the demographic structure of the Latino population and how nativity, age, income, and education are related to observed patterns of health and mortality. A key issue discussed is how to interpret the superior mortality indices of Latino immigrants and the subsequent declining health status of later generations. Explanations for differences in mortality include selection, reverse selection, death record inconsistencies, inequalities in health status, transnational migration, social marginality, and adaptation to environmental conditions in the United States. The utility of the public health social inequality framework and the status syndrome for explaining Latino disparities is discussed. The authors examine excess mortality from 8 causes: diabetes, stomach cancer, liver cancer, cervical cancer, human immunodeficiency virus/acquired immunodeficiency syndrome, liver disease, homicide, and work-related injuries. The impact of intergenerational changes in health behavior within the Latino population and the contributory role of suboptimal health care are interpreted in the context of implications for future research, public health programs, and policies.</p>
]]></description>
<dc:creator><![CDATA[Vega, W. A., Rodriguez, M. A., Gruskin, E.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp008</dc:identifier>
<dc:title><![CDATA[Health Disparities in the Latino Population]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>112</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>99</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/113?rss=1">
<title><![CDATA[Cardiometabolic Health Disparities in Native Hawaiians and Other Pacific Islanders]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/113?rss=1</link>
<description><![CDATA[
<p>Elimination of health disparities in the United States is a national health priority. Cardiovascular disease, diabetes, and obesity are key features of what is now referred to as the "cardiometabolic syndrome," which disproportionately affects racial/ethnic minority populations, including Native Hawaiians and other Pacific Islanders (NHOPI). Few studies have adequately characterized the cardiometabolic syndrome in high-risk populations such as NHOPI. The authors systematically assessed the existing literature on cardiometabolic disorders among NHOPI to understand the best approaches to eliminating cardiometabolic health disparities in this population. Articles were identified from database searches performed in PubMed and MEDLINE from January 1998 to December 2008; 43 studies were included in the review. There is growing confirmatory evidence that NHOPI are one of the highest-risk populations for cardiometabolic diseases in the United States. Most studies found increased prevalences of diabetes, obesity, and cardiovascular risk factors among NHOPI. The few experimental intervention studies found positive results. Methodological issues included small sample sizes, sample bias, inappropriate racial/ethnic aggregation of NHOPI with Asians, and a limited number of intervention studies. Significant gaps remain in the understanding of cardiometabolic health disparities among NHOPI in the United States. More experimental intervention studies are needed to examine promising approaches to reversing the rising tide of cardiometabolic health disparities in NHOPI.</p>
]]></description>
<dc:creator><![CDATA[Mau, M. K., Sinclair, K., Saito, E. P., Baumhofer, K. N., Kaholokula, J. K.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/ajerev/mxp004</dc:identifier>
<dc:title><![CDATA[Cardiometabolic Health Disparities in Native Hawaiians and Other Pacific Islanders]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>129</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>113</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/130?rss=1">
<title><![CDATA[Racial Discrimination and Health Among Asian Americans: Evidence, Assessment, and Directions for Future Research]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/130?rss=1</link>
<description><![CDATA[
<p>Research shows that racial discrimination is related to illness among diverse racial and ethnic populations. Studies of racial discrimination and health among Asian Americans, however, remain underdeveloped. In this paper, the authors review evidence on racial discrimination and health among Asian Americans, identify gaps in the literature, and provide suggestions for future research. They identified 62 empirical articles assessing the relation between discrimination and health among Asian Americans. The majority of articles focused on mental health problems, followed by physical and behavioral problems. Most studies find that discrimination was associated with poorer health, although the most consistent findings were for mental health problems. This review suggests that future studies should continue to investigate the following: 1) the measurement of discrimination among Asian Americans, whose experiences may be qualitatively different from those of other racial minority groups; 2) the heterogeneity among Asian Americans, including those factors that are particularly salient in this population, such as ethnic ancestry and immigration history; and 3) the health implications of discrimination at multiple ecologic levels, ranging from the individual level to the structural level.</p>
]]></description>
<dc:creator><![CDATA[Gee, G. C., Ro, A., Shariff-Marco, S., Chae, D.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp009</dc:identifier>
<dc:title><![CDATA[Racial Discrimination and Health Among Asian Americans: Evidence, Assessment, and Directions for Future Research]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>151</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>130</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/152?rss=1">
<title><![CDATA[Epi + demos + cracy: Linking Political Systems and Priorities to the Magnitude of Health Inequities--Evidence, Gaps, and a Research Agenda]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/152?rss=1</link>
<description><![CDATA[
<p>A new focus within both social epidemiology and political sociology investigates how political systems and priorities shape health inequities. To advance&mdash;and better integrate&mdash;research on political determinants of health inequities, the authors conducted a systematic search of the ISI Web of Knowledge and PubMed databases and identified 45 studies, commencing in 1992, that explicitly and empirically tested, in relation to an a priori political hypothesis, for either 1) changes in the magnitude of health inequities or 2) significant cross-national differences in the magnitude of health inequities. Overall, 84% of the studies focused on the global North, and all clustered around 4 political factors: 1) the transition to a capitalist economy; 2) neoliberal restructuring; 3) welfare states; and 4) political incorporation of subordinated racial/ethnic, indigenous, and gender groups. The evidence suggested that the first 2 factors probably increase health inequities, the third is inconsistently related, and the fourth helps reduce them. In this review, the authors critically summarize these studies&rsquo; findings, consider methodological limitations, and propose a research agenda&mdash;with careful attention to spatiotemporal scale, level, time frame (e.g., life course, historical generation), choice of health outcomes, inclusion of polities, and specification of political mechanisms&mdash;to address the enormous gaps in knowledge that were identified.</p>
]]></description>
<dc:creator><![CDATA[Beckfield, J., Krieger, N.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp002</dc:identifier>
<dc:title><![CDATA[Epi + demos + cracy: Linking Political Systems and Priorities to the Magnitude of Health Inequities--Evidence, Gaps, and a Research Agenda]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>177</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>152</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

<item rdf:about="http://epirev.oxfordjournals.org/cgi/content/short/31/1/178?rss=1">
<title><![CDATA[Is Segregation Bad for Your Health?]]></title>
<link>http://epirev.oxfordjournals.org/cgi/content/short/31/1/178?rss=1</link>
<description><![CDATA[
<p>For decades, racial residential segregation has been observed to vary with health outcomes for African Americans, although only recently has interest increased in the public health literature. Utilizing a systematic review of the health and social science literature, the authors consider the segregation-health association through the lens of 4 questions of interest to epidemiologists: How is segregation best measured? Is the segregation-health association socially or biologically plausible? What evidence is there of segregation-health associations? Is segregation a modifiable risk factor? Thirty-nine identified studies test an association between segregation and health outcomes. The health effects of segregation are relatively consistent, but complex. Isolation segregation is associated with poor pregnancy outcomes and increased mortality for blacks, but several studies report health-protective effects of living in clustered black neighborhoods net of social and economic isolation. The majority of reviewed studies are cross-sectional and use coarse measures of segregation. Future work should extend recent developments in measuring and conceptualizing segregation in a multilevel framework, build upon the findings and challenges in the neighborhood-effects literature, and utilize longitudinal data sources to illuminate opportunities for public health action to reduce racial disparities in disease.</p>
]]></description>
<dc:creator><![CDATA[Kramer, M. R., Hogue, C. R.]]></dc:creator>
<dc:date>Tue, 10 Nov 2009 09:23:37 PST</dc:date>
<dc:identifier>info:doi/10.1093/epirev/mxp001</dc:identifier>
<dc:title><![CDATA[Is Segregation Bad for Your Health?]]></dc:title>
<dc:publisher>Society for Epidemiologic Research</dc:publisher>
<prism:number>1</prism:number>
<prism:volume>31</prism:volume>
<prism:endingPage>194</prism:endingPage>
<prism:publicationDate>2009-11-01</prism:publicationDate>
<prism:startingPage>178</prism:startingPage>
<prism:section>ARTICLES</prism:section>
</item>

</rdf:RDF>