Neighborhood-level Residential Isolation and Neighborhood Composition: Similar but Different.

Residential segregation has been considered as a potential cause of racial and/or ethnic disparities in health. Among the five dimensions of residential segregation, the isolation dimension has been conceived to play an essential role in disproportionately shaping the health of racial and ethnic minorities, particularly in urban or metropolitan areas. However, a noticeable amount of research studies has been using informal measures of neighborhood composition (i.

Census-Tract-Level Median Household Income and Median Family Income Estimates: A Unidimensional Measure of Neighborhood Socioeconomic Status?

Previous studies suggested either census-tract-level median household income (MHI) or median family income (MFI) estimates may be used as a unidimensional measure of neighborhood socioeconomic status (SES) in the United States (US). To better understand its general use, the purpose of this study was to assess the usefulness of MHI and MFI in a wide range of geographic areas. Area-based socioeconomic data at the census tract level were obtained from the 2000 Census as well as the 2005-2009, 2010-2014, and 2015-2019 American Community Survey.

Comparing proxy and formal measures of county-level racial isolation in race-stratified models: A case study in Tennessee, 2005-2014.

The purpose of this study was to understand whether proxy measures of county-level racial isolation (based on racial compositions) would yield similar results as the formal measures of county-level racial isolation (derived from the isolation index of ). White (non-Hispanic White) and Black (non-Hispanic Black or African American) women residing in the State of Tennessee, USA, and diagnosed with a non-invasive or invasive breast cancer were considered as the study population. Individual-level variables were obtained from the Tennessee Cancer Registry data for the period between 2005 and 2014 (46,983 White women and 7,967 Black women), and county-level variables were obtained from the American Community Survey data for the periods of 2005-2009 and 2010-2014 (95 counties).

Interpreting a standardized and normalized measure of neighborhood socioeconomic status for a better understanding of health differences.

Background: Standardization and normalization of continuous covariates are used to ease the interpretation of regression coefficients. Although these scaling techniques serve different purposes, they are sometimes used interchangeably or confused for one another. Therefore, the objective of this study is to demonstrate how these scaling techniques lead to different interpretations of the regression coefficient in multilevel logistic regression analyses.

Cancer risk from air toxics in relation to neighborhood isolation and sociodemographic characteristics: A spatial analysis of the St. Louis metropolitan area, USA.

Background: A growing body of research has examined relationships between neighborhood characteristics and exposure to air toxics in the United States. However, a limited number of studies have addressed neighborhood isolation, a measure of spatial segregation. We investigated the spatial distribution of carcinogenic air toxics in the St.

Spatializing Area-Based Measures of Neighborhood Characteristics for Multilevel Regression Analyses: An Areal Median Filtering Approach.

Area-based measures of neighborhood characteristics simply derived from enumeration units (e.g., census tracts or block groups) ignore the potential of spatial spillover effects, and thus incorporating such measures into multilevel regression models may underestimate the neighborhood effects on health.

Capturing the two dimensions of residential segregation at the neighborhood level for health research.

Two conceptual and methodological foundations of segregation studies are that (i) segregation involves more than one group, and (ii) segregation measures need to quantify how different population groups are distributed across space. Therefore, percentage of population belonging to a group is not an appropriate measure of segregation because it does not describe how populations are spread across different areal units or neighborhoods. In principle, evenness and isolation are the two distinct dimensions of segregation that capture the spatial patterns of population groups.

Perceived barriers to mammography among underserved women in a Breast Health Center Outreach Program.

Background: To investigate perceived barriers to mammography among underserved women, we asked participants in the Siteman Cancer Center Mammography Outreach Registry-developed in 2006 to evaluate mobile mammography's effectiveness among the underserved-why they believed women did not get mammograms.

Methods: The responses of approximately 9,000 registrants were analyzed using multivariable logistic regression. We report adjusted odds ratios (OR) and 95% confidence intervals (CI) significant at 2-tailed P values less than .

Effects of buffer size and shape on associations between the built environment and energy balance.

Uncertainty in the relevant spatial context may drive heterogeneity in findings on the built environment and energy balance. To estimate the effect of this uncertainty, we conducted a sensitivity analysis defining intersection and business densities and counts within different buffer sizes and shapes on associations with self-reported walking and body mass index. Linear regression results indicated that the scale and shape of buffers influenced study results and may partly explain the inconsistent findings in the built environment and energy balance literature.

Area-based variations in obesity are more than a function of the food and physical activity environment : area-based variations in obesity.

This study examines the area-based variations in obesity from a community-based epidemiologic survey of Boston, MA, USA, using a geographic information system and multilevel modeling techniques. A combination of quantitative and qualitative methods was used to assess whether a function of the food and the physical activity (PA) environment can explain the body weight of residents. First, a series of multilevel analyses was conducted after accounting for the well-established individual determinants and capturing a wide range of environmental attributes to represent a more realistic portrayal of urban typology.

Disparities in the prevalence of obesity in Boston: results from the Boston Area Community Health (BACH) survey.

Objective: This study examined disparities in the prevalence of obesity to determine how future prevention and/or intervention efforts should be developed to remedy obesity.

Methods: We obtained individual information of sociodemographic characteristics, comorbid conditions, and lifestyle behaviors from the Boston Area Community Health (BACH) survey for 2002-2005. To account for the complex BACH sampling design, observations were weighted inversely to their probability of selection, and sampling weights were poststratified to the Boston population from the U.

Inhibition of proteasome by MG-132 treatment causes extra phragmoplast formation and cortical microtubule disorganization during M/G1 transition in synchronized tobacco cells.

The 26S proteasome plays essential roles in cell cycle progression in various types of cell. We previously reported that the inhibition of 26S proteasome activities by a proteasome inhibitor, MG-132, exclusively caused cell cycle arrest in synchronized tobacco BY-2 cells. Here we report a further observation of 26S proteasome involvement during M/G1 transition utilizing a transgenetic BY-2 cell line that stably expresses a GFP-alpha-tubulin fusion protein (BY-GT16).

Degradation of proliferating cell nuclear antigen by 26S proteasome in rice (Oryza sativa L.).

To study whether metabolic control of proliferating cell nuclear antigen (PCNA) during the cell cycle is similar to that of associated protein factors, two-hybrid analysis with PCNA from rice (Oryza sativa L. cv. Nipponbare) was performed.

Cell-cycle dependent dynamic change of 26S proteasome distribution in tobacco BY-2 cells.

The 26S proteasome is known to play pivotal roles in cell-cycle progression in various eukaryotic cells; however, little is known about its role in higher plants. Here we report that the subcellular distribution of the 26S proteasome is dynamically changed in a cell-cycle dependent manner in tobacco BY-2 cells as determined by immunostaining with anti-Rpn10 (a regulatory PA700 subunit) and anti-20S catalytic proteasome antibodies. The 26S proteasome was found to localize not only in nuclear envelopes and mitotic spindles but also in preprophase bands (PPBs) and phragmoplasts appearing in G(2) and M phases, respectively.