scholarly journals PDB62 INTERACTION OF HOUSEHOLD AND NEIGHBORHOOD SOCIOECONOMIC STATUS IN THE CHILDHOOD OBESITY EPIDEMIC IN THE UNITED STATES

2020 ◽  
Vol 23 ◽  
pp. S119-S120
Author(s):  
E. Saldarriaga ◽  
J.C. Jones-Smith ◽  
M. Miller
Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000011892
Author(s):  
Yeonwoo Kim ◽  
Erica Twardzik ◽  
Suzanne E. Judd ◽  
Natalie Colabianchi

ObjectiveTo summarize overall patterns of the impact of neighborhood socioeconomic status (nSES) on incidence stroke and uncover potential gaps in the literature, we conducted a systematic review of studies examining the association between nSES and incident stroke, independent of individual socioeconomic status (SES).MethodsFour electronic databases and reference lists of included articles were searched, and corresponding authors were contacted to locate additional studies. A keyword search strategy included the three broad domains of neighborhood, SES, and stroke. Eight studies met our inclusion criteria (e.g., nSES as an exposure, individual SES as a covariate, and incident stroke as an outcome). We coded study methodology and findings across the eight studies.ResultsThe results provide evidence for the overall nSES and incident stroke association in Sweden and Japan, but not within the United States. Findings were inconclusive when examining the nSES-incident stroke association stratified by race. We found evidence for the mediating role of biological factors in the nSES-incident stroke association.ConclusionsHigher neighborhood disadvantage was found to be associated with higher stroke risk, but it was not significant in all the studies. The relationship between nSES and stroke risk within different racial groups in the United States was inconclusive. Inconsistencies may be driven by differences in covariate adjustment (e.g., individual-level sociodemographic characteristics, neighborhood-level racial composition). Additional research is needed to investigate potential intermediate and modifiable factors of the nSES and incident stroke association, which could serve as intervention points.


2013 ◽  
Vol 28 (12) ◽  
pp. 1604-1610 ◽  
Author(s):  
Michael Joynt ◽  
Meghan K. Train ◽  
Brett W. Robbins ◽  
Jill S. Halterman ◽  
Enrico Caiola ◽  
...  

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Joseph Granato ◽  
Nicole Zhang ◽  
Mike Hughes

Intro: Obesity is well established as a cause of multiple diseases that put excessive strain on healthcare resources. This is particularly true in the United States where obesity levels are among the highest in the world. However, forecasting future trends in obesity prevalence can be problematic given the difficulty associated with accurately quantifying the effect of the many risk factors that have been documented for obesity. In this study, a model is presented to forecast future adult obesity prevalence based on the current childhood obesity prevalence and the conditional probability of adult obesity given childhood obesity. Hypothesis: Adult obesity prevalence can be forecast based on current childhood obesity and the likelihood of the former given the latter. Methods: The annual change in historical (1975-2016) childhood (ages 5-19) obesity was calculated to ascertain a gender-specific trend. To forecast the prevalence of adult obesity (ages 20-59) in coming decades the model relied upon published age-specific probabilities of adult obesity given childhood obesity. To forecast the annual change in ten-year age-groups of obese adults these probabilities were then applied to the annual change figures derived from the historical childhood obesity data. The model used the linear regression of childhood obesity, from 1996-2016, to extend the forecast and determine a year in which the annual change in adult obesity became negative. Such a forecast provided an age-and gender-specific year in which the obesity epidemic in adult Americans comes to an end and prevalence begins to decrease. Results: By using historical childhood obesity data and the probability of adult obesity associated with childhood obesity the model forecasts the American obesity epidemic in males ages 20-29, 30-39, 40-49, and 50-59 to stop increasing and begin decreasing in 2048, 2054, 2059, and 2064 respectively. Likewise, the model estimated obesity prevalence will cease to rise in adult American females about a decade earlier with forecasts for ages 20-29, 30-39, 40-49, and 50-59 to be 2037, 2043, 2048, and 2053 respectively. Conclusions: In conclusion, adult obesity in the United States, like most documented disease epidemics will reach a point, beyond which the prevalence is expected to fall. The model was built to handle the difficulty associated with quantifying the effect of the multiple risk factors and the well documented period effects linked to obesity. The proposed model successfully used historical childhood obesity data and the correlation between childhood and adult obesity to forecast when obesity in the United States will cease to grow and start to decline.


2021 ◽  
pp. 089011712110244
Author(s):  
Mariah Kornbluh ◽  
Shirelle Hallum ◽  
Marilyn Wende ◽  
Joseph Ray ◽  
Zachary Herrnstadt ◽  
...  

Purpose: Examine if Historically Black Colleges and Universities (HBCUs) are more likely to be located in low food access area (LFA) census tracts compared to public non-HBCUs. Design: ArcGIS Pro was utilized to capture food environments and census tract sociodemographic data. Setting: The sample included 98 HBCUs and 777 public non-HBCUs within the United States. 28.9% of study census tracts were classified as LFA tracts. Measures: University data were gathered from the National Center for Education Statistics. Census tract-level LFA classification was informed by the United States Department of Agriculture’s Food Access Research Atlas. Covariates included population density and neighborhood socioeconomic status of census tracts containing subject universities. Analysis: Multilevel logistic regression was employed to examine the relationship between university type and LFA classification. Results: A higher percentage of HBCUs (46.9%) than public non-HBCUs (26.6%) were located in LFAs. After adjusting for population density and neighborhood socioeconomic status, university type was significantly associated with food access classification (B=0.71;p=.0036). The odds of an HBCU being located in LFA tracts were 104% greater than for a public non-HBCU (OR=2.04;95% CI=1.26,3.29). Conclusion: Findings underscore the need for policy interventions tailored to HBCU students to promote food security, environmental justice, and public health.


2021 ◽  
pp. 0192513X2110179
Author(s):  
Sei-Young Lee ◽  
Ga-Young Choi

With the theory of feminist intersectionality, this study examined intimate partner violence (IPV) among Korean immigrant women focusing on gender norms, immigration, and socioeconomic status in the contexts of Korean culture. A total of 83 Korean immigrant women who were receiving a social service from non-profit agencies in ethnically diverse urban areas were recruited with a purposive sampling method. Hierarchical regressions were conducted to examine changes in variance explained by models. Having non-traditional gender norms, a college degree or higher education, immigrant life stresses, and living longer in the United States were positively associated with IPV while having higher income and being more fluent in English were negatively associated with IPV. Findings were discussed to understand Korean immigrant women’s internal conflict affected by their higher education and more egalitarian gender norms under the patriarchal cultural norms while experiencing immigrant life stresses and living in the United States. Implication for practice was also discussed.


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