An operational manpower model for the nonwhite population in SMSA's

1970 ◽  
Vol 4 (3) ◽  
pp. 315-330
Author(s):  
Manuel Zymelman
Keyword(s):  
Nonwhite Population

Effect of Patient Socioeconomic Status on Access to Early-Phase Cancer Trials

2013 ◽  
Vol 31 (2) ◽  
pp. 224-230 ◽  
Author(s):  
Aisyah Mohd Noor ◽  
Debashis Sarker ◽  
Suzanne Vizor ◽  
Blair McLennan ◽  
Sarah Hunter ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Early Phase ◽  
Cancer Type ◽  
Cancer Trial ◽  
Nonwhite Population ◽  
Incident Cancer ◽  
Cancer Trials ◽  
Incident Cases ◽  
First Time ◽  
Index Of Multiple Deprivation

Purpose Little is known about the influence of socioeconomic factors on patient access to cancer trials. Differences should be considered to ensure generalizability of trial results and equality of access. Methods Phase I trials unit referrals at our center over 5 years, from 2007 to 2012, were reviewed. Socioeconomic status was defined by the Index of Multiple Deprivation (IMD; 1, least deprived; 5, most deprived). Multivariate analysis was performed comparing incident cancer cases with referred patients and those ultimately enrolled onto a trial. Results Four hundred thirty patients were referred (median age, 62 years). Compared with 10,784 incident cases, referral was less likely for patients in the more-deprived quintiles compared with the least deprived (IMD 5: odds ratio [OR], 0.53; 95% CI, 0.38 to 0.74). Once reviewed in the unit, enrollment onto a trial was not affected (IMD 5: OR, 0.81; 95% CI, 0.40 to 1.63). Ethnicity analysis showed the nonwhite population was less likely to be recruited (OR, 0.48; 95% CI, 0.26 to 0.88). This relationship was lost with adjustment for age, sex, cancer type, and deprivation index. Conclusion We show for the first time to our knowledge that socioeconomic status affects early-phase cancer trial referrals. The least-deprived patients are almost twice as likely to be referred compared with the most deprived. This may be because more-deprived patients are less suitable for a trial—as a result of comorbidities, for example—or because of inequalities that could be addressed by patient or referrer education. Once reviewed at the unit, enrollment onto a trial is not affected by deprivation.

Modeling the evolution of countries and ethnic groups

2019 ◽  
Vol 31 (01) ◽  
pp. 2050008
Author(s):  
Kjell Hausken
Keyword(s):  
Least Squares Method ◽  
Growth Dynamics ◽  
White Population ◽  
World Average ◽  
Interactive Model ◽  
Nonwhite Population ◽  
The World ◽  
Beneficial Impact ◽  
Zero Growth ◽  
Parameter Values

Two models of population growth, without and with competitive and beneficial interaction between populations, are applied to analyze the evolution of populations and subpopulations relative to the world average. Norway’s population grows less than the world average. Applying the least squares method against the 1970–2018 empirics, the model predicts that Norway’s immigrants grow exponentially, exceeding 50% of Norway’s 2053 population. Other effects may influence the growth dynamics in the near future, causing different outcomes. The logistic interactive model quantifies the beneficial impact of nonimmigrants on immigrants. South Africa’s population grows more than the world average. South Africa’s white population grows mostly convexly, and similarly to the world average during 1950–1975. After a maximum in 1995, approximately zero growth occurs toward 2018. The logistic interactive model estimates increase of the white population toward a maximum, and thereafter slight decrease toward a horizontal asymptote. The model estimates beneficial impact from the white population on South Africa’s nonwhite population, and competitive opposite impact. Zimbabwe’s population also grows more than the world average. Zimbabwe’s white population grows more than the world average during 1950–1975, and thereafter decreases abruptly and asymptotically toward zero. The implication is overall negative growth during 1950–2018. Assuming different parameter values for 1950–1974 and 1975–2018, the logistic interactive model implies better curve fitting due to allowing the two populations to impact each other competitively or beneficially.

The Nonwhite Population Surge to Our Cities

1959 ◽  
Vol 35 (3) ◽  
pp. 195 ◽  
Author(s):  
Paul F. Coe
Keyword(s):  
Nonwhite Population

scholarly journals Racial and socioeconomic segregation: An analysis of three Brazilian Metropolitan areas

2018 ◽  
Author(s):  
Ernesto F. L. Amaral
Keyword(s):  
Metropolitan Areas ◽  
Racial Segregation ◽  
Public Infrastructure ◽  
Porto Alegre ◽  
High School Degree ◽  
The Core ◽  
Nonwhite Population ◽  
Socioeconomic Segregation ◽  
Belo Horizonte ◽  
The Relationship

Title in Portuguese: Segregação racial e socioeconômica: Uma análise de três áreas metropolitanas brasileirasAbstract: Brazil is characterized by racial and socioeconomic segregation. The objective of the research presented here is to analyze socioeconomic and racial segregation in three metropolitan areas (Recife, Belo Horizonte and Porto Alegre). Microdata from the 2000 Brazilian Census was used for this analysis, as well as maps produced for the selected areas by groups of census tracts (áreas de ponderação), using Geographic Information Systems techniques. In general, results indicate that among those areas with a majority of whites, a high proportion of the population holds at least high school degree. Moreover, the nonwhite population lives farther away from the core of the municipality, compared to whites. Finally, whites tend to live in less elevated areas with more public infrastructure and a greater availability of major roads. An improvement to this research could be the inclusion of spatial analysis and statistical models to better understand the relationship between race and socioeconomic indicators.Resumo: O Brasil é caracterizado por segregação racial e socioeconômica. O objetivo desta pesquisa é de analisar a segregação socioeconômica e racial em três áreas metropolitanas (Recife, Belo Horizonte e Porto Alegre). Microdados do Censo Demográfico do Brasil de 2000 foram usados para esta análise, assim como mapas produzidos para os locais selecionados por áreas de ponderação, utilizando técnicas de Sistemas de Informação Geográfica. Em geral, os resultados indicam que em áreas com maioria da população branca, uma alta proporção da população possui pelo menos o ensino médio completo. Além disso, a população não-branca vive longe das áreas centrais do município, em comparação aos brancos. Finalmente, os brancos tendem a viver em áreas menos elevadas, com mais infraestrutura pública e maior disponibilidade de vias públicas principais. Um aperfeiçoamento desta pesquisa poderia ser a inclusão de análise espacial e modelos estatísticos para melhor entender a relação entre indicadores raciais e socioeconômicos.

Genetic Studies of Ankylosing Spondylitis in Koreans Confirm Associations with ERAP1 and 2p15 Reported in White Patients

2010 ◽  
Vol 38 (2) ◽  
pp. 322-324 ◽  
Author(s):  
SO-YOUNG BANG ◽  
TAE-HWAN KIM ◽  
BITNARA LEE ◽  
EUNJI KWON ◽  
SANG HYUN CHOI ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Healthy Controls ◽  
Nucleotide Polymorphisms ◽  
Gene Desert ◽  
Single Nucleotide ◽  
Genetic Studies ◽  
Nonwhite Population ◽  
Endoplasmic Reticulum Aminopeptidase 1 ◽  
Anglo American ◽  
White Patients

Objective.Investigators from the Australo-Anglo-American Spondyloarthritis Consortium have reported additional genes associated with ankylosing spondylitis (AS) susceptibility including IL1R2, ANTXR2, and gene deserts at 2p15 and 21q22. We evaluated these new candidate genes in a large cohort of Korean patients with AS.Methods.A group of 1164 patients with AS and 752 healthy controls were enrolled for our study. Eight single-nucleotide polymorphisms (SNP) were analyzed to define genetic association with AS by MassARRAY system.Results.Significant positive associations of AS with endoplasmic reticulum aminopeptidase 1 SNP, rs27037 (p = 1.31 × 10−4), and rs27434 (p = 4.59 × 10−6), were observed. The rs10865331 of gene desert at 2p15 also showed a significant association with AS (p = 4.63 × 10−5).Conclusion.This is the first confirmation in a nonwhite population that genetic polymorphisms of rs27037, rs27434, and rs10865331 are associated with AS, implicating common pathogenetic mechanisms in Korean and white patients with AS.

False Generosity of the State: Parasitic Subjectivity in J. M. Coetzee’s Life and Times of Michael K

2019 ◽  
Vol 137 (3) ◽  
pp. 463-480
Author(s):  
Hossein Keramatfar ◽  
Sara Bavakhani
Keyword(s):  
South Africa ◽  
Paulo Freire ◽  
Authoritarian Regimes ◽  
The State ◽  
The Novel ◽  
Nonwhite Population ◽  
Pedagogy Of The Oppressed ◽  
State Strategy ◽  
The Right

Abstract This paper holds that J. M. Coetzee’s novel, Life and Times of Michael K, demonstrates how apartheid, in order to preserve its domination over the nonwhite population of South Africa, as with other authoritarian regimes, commonly encouraged dependency. Its various institutions and camps aimed precisely to create a culture of dependence and to fashion subjects utterly dependent on the state. A dependent subject is a powerless, exploitable, and controllable subject; this is the right kind of subject for colonizers. The black majority of South Africa, then, could only have a parasitic existence, completely dependent on their white masters. The novel narrates how dependence is created through the false generosity of the state. As Paulo Freire in Pedagogy of the Oppressed argued, false charity is a state strategy that serves to reproduce the relations of domination. Coetzee’s novel, thus, suggests that to undermine the structure of domination, the oppressed have to reject the culture of dependence and the parasitic subjectivity that arise from the false generosity of the state.

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