<?xml version="1.0" encoding="utf-8" ?>
<rss version="2.0">
<channel>
<title>Eric Reither</title>
<copyright>Copyright (c) 2012  All rights reserved.</copyright>
<link>http://works.bepress.com/eric_reither</link>
<description>Recent documents in Eric Reither</description>
<language>en-us</language>
<lastBuildDate>Sat, 24 Nov 2012 01:24:52 PST</lastBuildDate>
<ttl>3600</ttl>








<item>
<title>Suicide Trends in Wisconsin and the United States 1979-1998: Good News for Young and Old</title>
<link>http://works.bepress.com/eric_reither/16</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/16</guid>
<pubDate>Fri, 29 Apr 2011 11:02:46 PDT</pubDate>
<description>
	<![CDATA[
	<p><em>Problem: </em>In Wisconsin, suicide is the eighth leading cause of death.  Subgroups identified as being at higher risk are the elderly (> age 65) and young adults (aged15-24).</p>
<p><em>Objectives: </em>1) TO compare overall national trends in suicide rates to Wisconsin trends in suicide rates from 1984 to 1998; 2) to examine suicide rates in Wisconsin sub-groups (age, gender and race) 1984-1998; and 3) to assess progress toward Wisconsin's Public Health Agenda for the Year 2000 suicide mortality goals.</p>
<p><em>Methods: </em>National Center for Injury Control and Prevention data on suicide mortality were accessed for the United Stated and Wisconsin using WISQARS data extraction system.  Mean suicide rates were calculated for two 5-year spans (1984-1988 and 1994-1998).  Average numbers of deaths and percent change between mortality rates were calculated for the two 5-year spans.</p>
<p><em>Results: </em>From 1984-1998, mean suicide mortality rates decreased 8% national and 14% in Wisconsin.  Various trends are occurring between genders and ages.  The current declines in teens 15-19 and elderly 75-84 may indicate reversals of previous trends.  Rates for women decreased for nearly all age groups, continuing previously documented declines.  While it appears progress has been made toward Wisconsin Public Health Agenda goals, it appears unlikely the overall objective of 8 per 100,000 will be met.</p>

	]]>
</description>

<author>Janet Sausen et al.</author>


</item>






<item>
<title>A Procedure to Correct Proxy-Reported Weight in the National Health Interview Survey, 1976-2002</title>
<link>http://works.bepress.com/eric_reither/15</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/15</guid>
<pubDate>Fri, 29 Apr 2011 11:02:43 PDT</pubDate>
<description>
	<![CDATA[
	<p><strong>Background</strong></p>
<p><strong></strong> Data from the National Health Interview Survey (NHIS) show a larger-than-expected increase in mean BMI between 1996 and 1997. Proxy-reports of height and weight were discontinued as part of the 1997 NHIS redesign, suggesting that the sharp increase between 1996 and 1997 may be artifactual.</p>
<p><strong>Methods</strong></p>
<p>We merged NHIS data from 1976–2002 into a single database consisting of approximately 1.7 million adults aged 18 and over. The analysis consisted of two parts: First, we estimated the magnitude of BMI differences by reporting status (i.e., self-reported versus proxy-reported height and weight). Second, we developed a procedure to correct biases in BMI introduced by reporting status.</p>
<p><strong>Results</strong></p>
<p>Our analyses confirmed that proxy-reports of weight tended to be biased downward, with the degree of bias varying by race, sex, and other characteristics. We developed a correction procedure to minimize BMI underestimation associated with proxy-reporting, substantially reducing the larger-than-expected increase found in NHIS data between 1996 and 1997.</p>
<p><strong>Conclusion</strong></p>
<p>It is imperative that researchers who use reported estimates of height and weight think carefully about flaws in their data and how existing correction procedures might fail to account for them. The development of this particular correction procedure represents an important step toward improving the quality of BMI estimates in a widely used source of epidemiologic data.</p>

	]]>
</description>

<author>Eric N. Reither et al.</author>


</item>






<item>
<title>Trends in Malignant Melanoma Incidence and Mortality in Wisconsin, 1979-1997</title>
<link>http://works.bepress.com/eric_reither/14</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/14</guid>
<pubDate>Fri, 29 Apr 2011 11:02:40 PDT</pubDate>
<description>
	<![CDATA[
	<p><strong>OBJECTIVE: </strong>To  explore trends in malignant melanoma incidence and mortality in  Wisconsin from 1979 to 1997, by age, gender and time period. Comparisons  are also made to US trends over this period.</p>
<p><strong>DATA: </strong>Incidence  data for Wisconsin were provided by the Wisconsin Cancer Reporting  System Bureau of Health Information, within the Wisconsin Department of  Health and Family Services, while US data were extracted using SEER*Stat  3.0. Mortality data for both Wisconsin and the US were compiled using  CDC WONDER.</p>
<p><strong>RESULTS: </strong>Wisconsin  malignant melanoma incidence rates rose 25% from 1979 to 1998, compared  to a US increase of 132%. For mortality rates, however, both Wisconsin  (22%) and the US (15%) exhibited only modest increases. Between the  mid-1980s and mid-1990s, the largest increases in both incidence and  mortality (over 70%) occurred among males over age 65. In contrast,  declines of 30% to 40% were found for males age 0-34. Patterns were less  consistent among females.</p>
<p><strong>CONCLUSIONS: </strong>Since  the mid-1980s, malignant melanoma incidence in Wisconsin appears to  have increased sharply among males and females over age 65, with a  corresponding rise in mortality among males in this age group. These  trends should be a source of concern for clinicians and policy makers  alike. Because current evidence on the effectiveness of early treatment  is inconclusive, it is especially important to take preventive measures  now--such as educational and community-based interventions--to reduce  future incidence.</p>

	]]>
</description>

<author>Ralph P. Insinga et al.</author>


</item>






<item>
<title>Educational Status and HIV Disparities in Cameroon: Are Uneducated Women at Reduced Risk of HIV Infection?</title>
<link>http://works.bepress.com/eric_reither/13</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/13</guid>
<pubDate>Fri, 29 Apr 2011 11:02:37 PDT</pubDate>
<description>
	<![CDATA[
	<p>The socioeconomic gradient in health and mortality is a persistent finding in social epidemiology. Indicators of socioeconomic status (SES) such as wealth and education are routinely found to be strongly and inversely related to various health outcomes. However, data from the 2004 Cameroon Demographic and Health Survey (DHS) show that educational status is positively associated with HIV prevalence, particularly among women. In this investigation, we analyzed data from 5,287 women in the 2004 Cameroon DHS to explore possible demographic, socioeconomic and behavioral mechanisms that could account for this association. After controlling for variables such as age, marital status, region of residence, and partner’s educational attainment, the association between education and HIV was not merely attenuated, but essentially eliminated. This research contributes to a growing body of literature on SES and HIV in sub-Saharan Africa, which has the potential to improve our collective understanding and refine current social policies.</p>

	]]>
</description>

<author>Eric N. Reither et al.</author>


</item>






<item>
<title>Associations between Educational Attainment and Diabetes in Utah: The Behavioral Risk Factor Surveillance System, 1996-2007</title>
<link>http://works.bepress.com/eric_reither/12</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/12</guid>
<pubDate>Fri, 29 Apr 2011 11:02:35 PDT</pubDate>
<description>
	<![CDATA[
	<p><strong>Background:</strong> Diabetes—now the sixth leading cause of death in Utah—has become more prevalent in recent decades. Diabetes is especially common among disadvantaged groups in Utah, such as persons without a high school diploma. To achieve stated public health goals of eliminating health disparities and increasing years of healthy life, steps must be taken to reverse recent trends in diabetes.</p>
<p><strong>Objectives:</strong> The main goal of this study is to examine how educational attainment is related to diabetes trends in the state of Utah over the period 1996-2007.</p>
<p><strong>Methods:</strong> We used Utah data from the Behavioral Risk Factor Surveillance System (BRFSS) to calculate the prevalence of diabetes by sex and educational attainment for three time periods (1996-1999, 2000-2003, and 2004-2007). To investigate how educational attainment and other possible determinants influence the odds of diabetes, we examined a series of logistic regression models that were stratified by sex.</p>
<p><strong>Results:</strong> The prevalence of diabetes among adults in Utah increased by 44% during the period of observation in this study (from 4.37% in 1996-1999 to 6.30% in 2004-2007). In models controlling for age and educational status, the odds of diabetes were 60% higher among men and 44% higher among women in 2004-2007 than in 1996-1999. These models also showed significant inverse associations between educational attainment and the odds of diabetes. For instance, women with a college education were 27% less likely than women with a high school education to have diabetes. However, interaction effects between educational attainment and period of observation were not statistically significant, indicating that these disparities have neither diminished nor widened from 1996-2007. Sociodemographic and health-related factors accounted for most of the observed differences in the odds of diabetes among different educational groups.</p>
<p><strong>Conclusion:</strong> The prevalence of diabetes is increasing in Utah. Well-educated men and women exhibit lower rates of diabetes than those with less education, but these disparities have not changed appreciably over the past decade. To reduce disparities in diabetes among different educational groups, policymakers and other public health stakeholders should take measures to reduce high school dropout rates, encourage labor force participation, ameliorate poverty, and promote healthy lifestyles that are associated with weight maintenance.</p>

	]]>
</description>

<author>Eric N. Reither et al.</author>


</item>






<item>
<title>A Multilevel Analysis of Race, Community Disadvantage, and Body Mass Index Among Adults in the US</title>
<link>http://works.bepress.com/eric_reither/11</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/11</guid>
<pubDate>Fri, 29 Apr 2011 11:02:32 PDT</pubDate>
<description>
	<![CDATA[
	<p>This study examined the contributions of both individual  socioeconomic status (SES) and community disadvantage in explaining the  higher body mass index (BMI) of black adults in the US. Data from a  national survey of adults (1986 American's Changing Lives Study) were  combined with tract-level community data from the 1980 census.</p>
<p>Results  of multilevel regression analyses showed that black women had an  age-adjusted BMI score three points higher than non-black women.  Individual SES (income, education, assets) was negatively associated  with BMI in women, but it only reduced the association between race and  BMI from 2.99 to 2.50. Adding community socioeconomic disadvantage index  further reduced the race coefficient slightly from 2.50 to 2.21.  Nevertheless, living in communities with higher socioeconomic  disadvantage was associated with higher BMI net of age, race, individual  SES, smoking, physical activity, stress, and social support. Community  income inequality (Gini) had an independent positive association with  BMI, but did not substantially reduce racial differences among women.  Community percent black was not associated with BMI. Results for men  demonstrated no statistically significant racial differences in BMI, and  no association between BMI and either individual SES or community  disadvantage.</p>
<p>Although individual SES and community socioeconomic  disadvantage each partly explained the higher average BMI among black  women, clear racial disparities persisted. Moreover, race, individual  SES, community socioeconomic disadvantage, and individual health  behaviors were each independent predictors of BMI among women.  Unexplained within- and between-community variance in BMI remained among  both women and men, with most unexplained variation due to  within-community variance. Because our evidence for women suggests that  the determinants of obesity are multiple and multilevel, attempts to  address this growing social problem will similarly require a  multi-faceted and multilevel approach.</p>

	]]>
</description>

<author>Stephanie A. Robert et al.</author>


</item>






<item>
<title>The Skinny on Success: Body Mass, Gender and Occupational Standing Across the Life Course</title>
<link>http://works.bepress.com/eric_reither/10</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/10</guid>
<pubDate>Fri, 29 Apr 2011 11:02:29 PDT</pubDate>
<description>
	<![CDATA[
	<p>Several studies have analyzed the impact of obesity on occupational  standing. This study extends previous research by estimating the  influence of body mass on occupational attainment over three decades of  the career using data from the Wisconsin Longitudinal Study. In a series  of covariance structure analyses, we considered three mechanisms that  may alter the career trajectories of heavy individuals: (1.  employment-based discrimination, (2. educational attainment, and (3.  marriage market processes. Unlike previous studies, we found limited  evidence that employment-based discrimination impaired the career  trajectories of either men or women. Instead, we found that heavy women  received less post-secondary schooling than their thinner peers, which  in turn adversely affected their occupational standing at each point in  their careers.</p>

	]]>
</description>

<author>Christy M. Glass et al.</author>


</item>






<item>
<title>Widening Racial and Ethnic Disparities in AIDS Incidence in Salt Lake City-Ogden, Utah, 1990-2000</title>
<link>http://works.bepress.com/eric_reither/9</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/9</guid>
<pubDate>Fri, 29 Apr 2011 11:02:26 PDT</pubDate>
<description>
	<![CDATA[
	<p><strong>Context: </strong>Public health agencies have identified the elimination of health disparities as a major policy objective.</p>
<p><strong>Objectives:</strong> The main goals of this study were to assess the magnitude of racial/ethnic disparities in rates of AIDS incidence in the metropolitan statistical area of Salt Lake City-Ogden, Utah and determine how those disparities have changed over the period 1990-2000.</p>
<p><strong>Methods:</strong> Incidence rates were calculated using data from the AIDS Public Information Data Set (numerators) and US Census Bureau (denominators). Rates of AIDS incidence were produced for broad demographic groups (e.g., Hispanics) in Salt Lake City-Ogden. In addition, age-standardized incidence rates were produced for groups defined by age, sex and race/ethnicity, permitting careful examination of trends in racial/ethnic disparities.</p>
<p><strong>Results:</strong> In Salt Lake City-Ogden’s general population, AIDS incidence dropped from 11.23 per 100,000 in 1990 to 7.99 per 100,000 in 2000—a decline of about 29%. AIDS incidence rates also dropped for populations of non-Hispanic Blacks (-15.12%) and non-Hispanic Whites (-36.72%), but climbed among Hispanics (11.89%). Of all groups examined, Hispanic females experienced the largest increase in AIDS incidence over this period (58.27%). Rate ratios indicate that racial/ethnic disparities in AIDS incidence widened during the 1990s, both between non-Hispanic Whites and non-Hispanic Blacks (up 33.75%) and between non-Hispanic Whites and Hispanics (up 76.59%). Perhaps the most striking finding is the 113.35% increase in the disparity in AIDS incidence between non-Hispanic White and Hispanic females. Although racial/ ethnic disparities in AIDS incidence generally widened between 1990 and 2000, it is encouraging to note that the disparity between non-Hispanic White and non- Hispanic Black females declined by almost 6%.</p>
<p><strong>Conclusion:</strong> Despite progress in reducing rates of AIDS incidence in Salt Lake City- Ogden’s general population, racial/ethnic disparities widened considerably between 1990 and 2000.</p>

	]]>
</description>

<author>Erika K. Barth et al.</author>


</item>






<item>
<title>Do Birth Cohorts Matter? Age-Period-Cohort Anaylses of the Obesity Epidemic in the United States</title>
<link>http://works.bepress.com/eric_reither/8</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/8</guid>
<pubDate>Fri, 29 Apr 2011 11:02:23 PDT</pubDate>
<description>
	<![CDATA[
	<p>Many studies have cited the importance of secular changes or “period  effects” as causes of the U.S. obesity epidemic. Unfortunately,  relatively little attention has been devoted to the possible influence  of cohort-related mechanisms. To address this current gap in the  scientific literature, this investigation utilized the responses from  1.7 million participants in the 1976–2002 National Health Interview  Surveys to determine how birth cohorts may have contributed to the rapid  increase in the prevalence of obesity. Results from hierarchical  age-period-cohort (HAPC) models confirmed that period effects are  principally responsible for the U.S. obesity epidemic. However, HAPC  models also demonstrated that birth cohort membership is influential.  Independent of age and period effects, the predicted probability of  obesity at age 25 increased by 30% for cohorts born between 1955 and  1975. Our results also showed that age, period and cohort effects varied  by race/gender and educational attainment. For instance, increases in  the predicted probabilities of obesity were particularly sharp for  recent cohorts of Black females. Our investigation successfully  demonstrated that both secular change and birth cohort membership have  independently contributed to elevated odds of obesity among recent  generations of Americans, suggesting that cohort-specific strategies may  be needed to combat disconcertingly high rates of obesity in the U.S.</p>

	]]>
</description>

<author>Eric N. Reither et al.</author>


</item>






<item>
<title>Overweight, Obesity, and Health-Related Quality of Life Among Adolescents: The National Longitudinal Study of Adolescent Health</title>
<link>http://works.bepress.com/eric_reither/7</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/7</guid>
<pubDate>Fri, 29 Apr 2011 11:02:17 PDT</pubDate>
<description>
	<![CDATA[
	<p><em>Objective. </em>Childhood and adolescent overweight and obesity have increased substantially in the past 2 decades, raising concerns about the physical and psychosocial consequences of childhood obesity. We investigated the association between obesity and health-related quality of life in a nationally representative sample of adolescents.</p>
<p><em>Methods.</em> A cross-sectional analysis was conducted using the 1996 National Longitudinal Study of Adolescent Health, a nationally representative sample of adolescents in grades 7 to 12 during the 1994–1995 school year, and 4743 adolescents with direct measures of height and weight. Using Centers for Disease Control and Prevention growth charts to determine percentiles, we used 5 body mass categories. Underweight was at or below the 5th percentile, normal BMI was between the 5th and 85th percentiles, at risk for overweight was between the 85th and 95th percentiles, overweight was between the 95th and 97th percentiles + 2 BMI units, and obese was at or above the 97th percentile + 2 BMI units. Four dimensions of health-related quality of life were measured: general health (self-reported general health), physical health (absence or presence of functional limitations and illness symptoms), emotional health (the Center for Epidemiologic Studies Depression Scale and Rosenberg's self-esteem scale), and a school and social functioning scale.</p>
<p><em>Results.</em> We found a statistically significant relationship between BMI and general and physical health but not psychosocial outcomes. Adolescents who were overweight had significantly worse self-reported health (odds ratio [OR]: 2.17; 95% confidence interval [CI]: 1.34–3.51), as did obese adolescents (OR: 4.49; 95% CI: 2.87–7.03). Overweight (OR: 1.81; 95% CI: 1.22–2.68) and obese (OR: 1.91; 95% CI: 1.24–1.95) adolescents were also more likely to have a functional limitation. Only among the youngest adolescents (ages 12–14) did we find a significant deleterious impact of overweight and obesity on depression, self-esteem, and school/social functioning.</p>
<p><em>Conclusions.</em> Using a nationally representative sample, we found that obesity in adolescence is linked with poor physical quality of life. However, in the general population, adolescents with above normal body mass did not report poorer emotional, school, or social functioning.</p>

	]]>
</description>

<author>Karen C. Swallen et al.</author>


</item>






<item>
<title>Predicting Adult Health and Mortality from Adolescent Facial Characteristics in Yearbook Photographs</title>
<link>http://works.bepress.com/eric_reither/6</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/6</guid>
<pubDate>Fri, 29 Apr 2011 11:02:14 PDT</pubDate>
<description>
	<![CDATA[
	<p>Several important longitudinal studies in the social sciences have omitted biomarkers that are routinely recorded today, including height and weight. To account for this shortcoming in the Wisconsin Longitudinal Study (WLS), an 11-point scale was developed to code high school senior class yearbook photographs of WLS participants for relative body mass (RBM). Our analyses show that although imperfect, the RBM scale is reliable (α = .91) and meets several criteria of validity as a measure of body mass. Measured at ages 17–18, the standardized relative body mass index (SRBMI) was moderately correlated (r = .31) with body mass index (BMI) at ages 53–54 and with maximum BMI reported between ages 16 and 30 (r = .48). Overweight adolescents (≥ 90th percentile of SRBMI) were about three times more likely than healthy-weight adolescents (10th–80th percentile of SRBMI) to be obese in adulthood and, as a likely consequence, significantly more likely to report health problems such as chest pain and diabetes. Overweight adolescents also suffered a twofold risk of premature death from all nonaccidental causes as well as a fourfold risk of heart disease mortality. The RBM scale has removed a serious obstacle to obesity research and lifelong analyses of health in the WLS. We suggest that other longitudinal studies may also be able to obtain photos of participants at younger ages and thus gain a prospectively useful substitute for direct measures of body mass.</p>

	]]>
</description>

<author>Eric N. Reither et al.</author>


</item>






<item>
<title>The Distribution and Determinants of Overweight Among Adolescents in the Intermountain West</title>
<link>http://works.bepress.com/eric_reither/5</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/5</guid>
<pubDate>Fri, 29 Apr 2011 11:02:11 PDT</pubDate>
<description>
	<![CDATA[
	<p>Extant research shows that the prevalence of overweight among adolescents in the Intermountain West is low relative to other regions of the U.S., but there is currently a lack of research that explores regional differences within the Intermountain West. Consequently, we used data from 17,849 adolescents in the 2005 Youth Risk Behavior Survey (YRBS) for seven states in the Intermountain West to examine the distribution and determinants of overweight in this part of the nation. Our results demonstrated that the prevalence of overweight was significantly lower among adolescents in Utah (5.61%) than among adolescents in every other state in the Intermountain West, particularly New Mexico (11.99%) and Arizona (11.86%). Also, results from a series of logistic regression analyses showed that demographic composition, nutritional behaviors, physical activities and a handful of other factors (e.g., depression and television viewing) accounted for most of the significant differences observed between states among female (but not male) adolescents. Although further research on adolescent overweight in the Intermountain West is warranted, findings from the present study suggest that policies designed to (1) limit poverty, (2) encourage physical activity (and discourage television viewing), and (3) monitor depression among adolescent girls could help mitigate disparities in adolescent overweight between states in the Intermountain West.</p>

	]]>
</description>

<author>Eric N. Reither et al.</author>


</item>






<item>
<title>Racial and Ethnic Disparities in AIDS Incidence: An Examination of Milwaukee, Wisconsin, 1990-2000</title>
<link>http://works.bepress.com/eric_reither/4</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/4</guid>
<pubDate>Fri, 29 Apr 2011 11:02:08 PDT</pubDate>
<description>
	<![CDATA[
	<p><em>Context: </em>Public health agencies have identified the elimination of health disparities as a major policy objective.</p>
<p><em>Objectives: </em>The main goals of this study were to assess the magnitude of racial/ethnic disparities in rates of Acquired Immune Deficiency Syndrome (AIDS) incidence in the metropolitan statistical area of Milwaukee, Wis, and determine how those disparities have changed over the period 1990-2000.</p>
<p><em>Methods: </em>Incidence rates were calculated using data from the AIDS Public Information Data Set (numerators) and US Census Bureau (denominators).  Rates of AIDS incidence were produced for broad demographic groups (eg, Hispanics) in Milwaukee.  In addition, age-standardized incidence rates were produced for groups defined by age, sex, and race/ethnicity, permitting careful examination of trends in racial/ethnic disparities.</p>
<p><em>Results: </em>In Milwaukee's general population, AIDS incidence dropped from 7.6 per 100,000 in 1990 to 6.4 per 100,000 in 2000 - a decline of over 15%.  AIDS incidence rates also dropped for Hispanics (-41.0%) and non-Hispanic whites (-52.1%), but climbed among non-Hispanic blacks (51.1%).  Disparities in AIDS incidence between non-Hispanic blacks and non-Hispanic whites increased between 136% (young adult males) and 428% (young adult females) over the period.</p>
<p><em>Conclusion: </em>Despite progress in reducing rates of AIDS incidence in Milwaukee's general population, racial/ethnic disparities widened substantially between 1990 and 2000.</p>

	]]>
</description>

<author>Eric N. Reither et al.</author>


</item>






<item>
<title>Allostatic Load</title>
<link>http://works.bepress.com/eric_reither/3</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/3</guid>
<pubDate>Fri, 29 Apr 2011 11:02:05 PDT</pubDate>
<description>
	<![CDATA[
	<p>The <em>Encyclopedia of the Life Course and Human Development</em> examines three key life stages from a sociological perspective,  exploring how enduring experiences, as well as transitions and events  such as childcare, education, stress, marriage, career, addiction,  friendship, parenthood, disease, spirituality, and retirement influence  the individual?s life course. The nearly 400 entries in this  three-volume set are organized by life stage: Childhood and Adolescence;  Adulthood; and Later Life. Included in each is an overview essay that  features a detailed discussion of that stage of human development,  followed by signed entries that apply sociological as well as economic,  biological, psychological, and educational perspectives to a range of  topics. Also covered are sociological theories and their significance to  life course study; the impact of social and government policies; and  racial, gender, and geographic patterns of many life course phenomena.  Entries are heavily illustrated with photos, graphs, charts, and tables.  Also included is coverage of research methods and key data sources,  which enhance and reinforce the topical entries, as well as a glossary,  thematic outline, annotated bibliography, and cumulative index.</p>

	]]>
</description>

<author>Eric N. Reither</author>


</item>






<item>
<title>Increasing Educational Disparities in Premature Adult Mortality, Wisconsin 1990-2000</title>
<link>http://works.bepress.com/eric_reither/2</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/2</guid>
<pubDate>Fri, 29 Apr 2011 11:02:01 PDT</pubDate>
<description>
	<![CDATA[
	<p><em>Context: </em>Public health agencies have identified the elimination of health disparities as a major policy objective.</p>
<p><em>Objective: </em>The  primary objective of this study is to assess changes in the association  between education and premature adult mortality in Wisconsin,  1990-2000.</p>
<p><em>Design, Setting, and Subjects: </em>Wisconsin  death records (numerators) and US Census data (denominators) were  compiled to estimate mortality rates among adults (25-64 years) in 1990  and 2000. Information on the educational status, sex, racial  identification, and age of subjects was gathered from these sources.</p>
<p><em>Main Outcome and Measure: </em>The  effect of education on mortality rate ratios in 1990 and 2000 was  assessed while adjusting for age, sex, and racial identification.</p>
<p><em>Results: </em>Education  exhibited a graded effect on mortality rates, which declined most among  college graduates from 1990 to 2000. The relative rate of mortality  among persons with less than a high school education compared to persons  with a college degree increased from 2.4 to 3.1 from 1990-2000-an  increase of 29%. Mortality disparities also increased, although to a  lesser extent, among other educational groups.</p>
<p><em>Conclusion:</em> Despite  renewed calls for the elimination of health disparities, evidence  suggests that educational disparities in mortality increased from 1990  to 2000.</p>

	]]>
</description>

<author>Eric N. Reither et al.</author>


</item>






<item>
<title>Examining Neighborhood Disadvantage and Racial Disparities in Body Mass Index Trajectories</title>
<link>http://works.bepress.com/eric_reither/1</link>
<guid isPermaLink="true">http://works.bepress.com/eric_reither/1</guid>
<pubDate>Fri, 29 Apr 2011 11:01:56 PDT</pubDate>
<description>
	<![CDATA[
	<p>Racial disparities in obesity among women in the United States are  substantial but the causes of these disparities are poorly understood.  We examined changes in body mass index (BMI) trajectories for Black and  White women as a function of neighborhood disadvantage and racial  composition of the neighborhoods within which respondents are clustered.  Using four waves of the Americans’ Changing Lives (ACL) survey, we  estimated multilevel models predicting BMI trajectories over a 16-year  period. Even after controlling for individual-level socio-demographics,  risk and protective factors, and baseline neighborhood disadvantage and  racial composition, substantial racial disparities in BMI persisted at  each time point, and widened over time (<em>p</em><0.05). Baseline  neighborhood disadvantage is associated with BMI and marginally reduces  racial disparities in BMI, but it does not predict BMI changes over  time. However, without neighborhood-level variables, the BMI trajectory  model is misspecified, highlighting the importance of including  community factors in future research.</p>

	]]>
</description>

<author>Erin Ruel et al.</author>


</item>





</channel>
</rss>
