Wesley L James
Dados Biográficos
| ID | 97127 |
|---|---|
| NOME | Wesley L James |
| PRENOMES | Wesley L |
| SOBRENOME | James |
| ASSINATURA | JAMES W L |
| AFILIAÇÕES | At the time of the study, the authors were with the Social Science Research Center, Mississippi State University. |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 10 |
| TOTAL DE CITAÇÕES | 49 |
| TOTAL COMO AUTOR | 10 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2006 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 4 |
“You’re Not Dealing with What We’re Dealing with”
Conceptualizing rurality
Background: of disproportionately higher mortality rates in these areas. But what does the concept of "rural" capture and conjure? How we explain these geographic differences has spanned modes of place measurement and definitions. We employ three county-level rural-urban definitions to (1) analyze how spatially specific and robust rural disparities in mortality are and (2) identify whether mortality outcomes are dependent on different definitions…
All Rural Places Are Not Created Equal
Objectives. I investigated mortality disparities between urban and rural areas by measuring disparities in urban US areas compared with 6 rural classifications, ranging from suburban to remote locales. Methods. Data from the Compressed Mortality File, National Center for Health Statistics, from 1968 to 2007, was used to calculate age-adjusted mortality rates for all rural and urban regions by year. Criteria measuring disparity between regions inc…
Inequality, Health Infrastructure, and Spatial Context
Previous research examines the ecological relationship between income inequality and mortality, and results are inconclusive. This analysis builds upon these findings by implementing a spatially weighted path analysis to better understand the mediating relationships of economic and social inequality, health infrastructure, and mortality. In the analysis, overall and race-specific mortality rates are combined with local health infrastructure data,…
Using Maps to Monitor At-Risk Geographic Areas of Heart Disease
Please click here to download the map associated with this article. This manuscript describes a method of identifying at-risk regions for heart disease morbidity and mortality in the United States using the creative combination of spatial visualization, spatial statistics, and two unique datasets. There are very few health surveillance systems in the United States that monitor the prevalence of major diseases and the geographic location in which …
Underlying Causes of the Emerging Nonmetropolitan Mortality Penalty
The nonmetropolitan mortality penalty results in an estimated 40 201 excessive US deaths per year, deaths that would not occur if nonmetropolitan and metropolitan residents died at the same rate. We explored the underlying causes of the nonmetropolitan mortality penalty by examining variation in cause of death. Declines in heart disease and cancer death rates in metropolitan areas drive the nonmetropolitan mortality penalty. Future work should ex…
Research note
Preliminary Evidence for an Emerging Nonmetropolitan Mortality Penalty in the United States
We discovered an emerging non-metropolitan mortality penalty by contrasting 37 years of age-adjusted mortality rates for metropolitan versus nonmetropolitan US counties. During the 1980s, annual metropolitan–nonmetropolitan differences averaged 6.2 excess deaths per 100000 nonmetropolitan population, or approximately 3600 excess deaths; however, by 2000 to 2004, the difference had increased more than 10 times to average 71.7 excess deaths, or app…
Persistent Clusters of Mortality in the United States
We explored how place shapes mortality by examining 35 consecutive years of US mortality data. Mapping age-adjusted county mortality rates showed both persistent temporal and spatial clustering of high and low mortality rates. Counties with high mortality rates and counties with low mortality rates both experienced younger population out-migration, had economic decline, and were predominantly rural. These mortality patterns have important implica…
Does regional variation affect ecological mortality research? An examination of mortality, income inequality and health infrastructure in the Mississippi Delta
All Rural Places Are Not Created Equal
Objectives. I investigated mortality disparities between urban and rural areas by measuring disparities in urban US areas compared with 6 rural classifications, ranging from suburban to remote locales. Methods. Data from the Compressed Mortality File, National Center for Health Statistics, from 1968 to 2007, was used to calculate age-adjusted mortality rates for all rural and urban regions by year. Criteria measuring disparity between regions inc…
Preliminary Evidence for an Emerging Nonmetropolitan Mortality Penalty in the United States
We discovered an emerging non-metropolitan mortality penalty by contrasting 37 years of age-adjusted mortality rates for metropolitan versus nonmetropolitan US counties. During the 1980s, annual metropolitan–nonmetropolitan differences averaged 6.2 excess deaths per 100000 nonmetropolitan population, or approximately 3600 excess deaths; however, by 2000 to 2004, the difference had increased more than 10 times to average 71.7 excess deaths, or app…
Underlying Causes of the Emerging Nonmetropolitan Mortality Penalty
The nonmetropolitan mortality penalty results in an estimated 40 201 excessive US deaths per year, deaths that would not occur if nonmetropolitan and metropolitan residents died at the same rate. We explored the underlying causes of the nonmetropolitan mortality penalty by examining variation in cause of death. Declines in heart disease and cancer death rates in metropolitan areas drive the nonmetropolitan mortality penalty. Future work should ex…
Persistent Clusters of Mortality in the United States
We explored how place shapes mortality by examining 35 consecutive years of US mortality data. Mapping age-adjusted county mortality rates showed both persistent temporal and spatial clustering of high and low mortality rates. Counties with high mortality rates and counties with low mortality rates both experienced younger population out-migration, had economic decline, and were predominantly rural. These mortality patterns have important implica…
Does regional variation affect ecological mortality research? An examination of mortality, income inequality and health infrastructure in the Mississippi Delta
Research note
Does regional variation affect ecological mortality research? An examination of mortality, income inequality and health infrastructure in the Mississippi Delta
Persistent Clusters of Mortality in the United States
We explored how place shapes mortality by examining 35 consecutive years of US mortality data. Mapping age-adjusted county mortality rates showed both persistent temporal and spatial clustering of high and low mortality rates. Counties with high mortality rates and counties with low mortality rates both experienced younger population out-migration, had economic decline, and were predominantly rural. These mortality patterns have important implica…
Preliminary Evidence for an Emerging Nonmetropolitan Mortality Penalty in the United States
We discovered an emerging non-metropolitan mortality penalty by contrasting 37 years of age-adjusted mortality rates for metropolitan versus nonmetropolitan US counties. During the 1980s, annual metropolitan–nonmetropolitan differences averaged 6.2 excess deaths per 100000 nonmetropolitan population, or approximately 3600 excess deaths; however, by 2000 to 2004, the difference had increased more than 10 times to average 71.7 excess deaths, or app…
Research note
Using Maps to Monitor At-Risk Geographic Areas of Heart Disease
Please click here to download the map associated with this article. This manuscript describes a method of identifying at-risk regions for heart disease morbidity and mortality in the United States using the creative combination of spatial visualization, spatial statistics, and two unique datasets. There are very few health surveillance systems in the United States that monitor the prevalence of major diseases and the geographic location in which …
Underlying Causes of the Emerging Nonmetropolitan Mortality Penalty
The nonmetropolitan mortality penalty results in an estimated 40 201 excessive US deaths per year, deaths that would not occur if nonmetropolitan and metropolitan residents died at the same rate. We explored the underlying causes of the nonmetropolitan mortality penalty by examining variation in cause of death. Declines in heart disease and cancer death rates in metropolitan areas drive the nonmetropolitan mortality penalty. Future work should ex…
Inequality, Health Infrastructure, and Spatial Context
Previous research examines the ecological relationship between income inequality and mortality, and results are inconclusive. This analysis builds upon these findings by implementing a spatially weighted path analysis to better understand the mediating relationships of economic and social inequality, health infrastructure, and mortality. In the analysis, overall and race-specific mortality rates are combined with local health infrastructure data,…
All Rural Places Are Not Created Equal
Objectives. I investigated mortality disparities between urban and rural areas by measuring disparities in urban US areas compared with 6 rural classifications, ranging from suburban to remote locales. Methods. Data from the Compressed Mortality File, National Center for Health Statistics, from 1968 to 2007, was used to calculate age-adjusted mortality rates for all rural and urban regions by year. Criteria measuring disparity between regions inc…
Conceptualizing rurality
Background: of disproportionately higher mortality rates in these areas. But what does the concept of "rural" capture and conjure? How we explain these geographic differences has spanned modes of place measurement and definitions. We employ three county-level rural-urban definitions to (1) analyze how spatially specific and robust rural disparities in mortality are and (2) identify whether mortality outcomes are dependent on different definitions…
“You’re Not Dealing with What We’re Dealing with”
Medicine (8 obras) · Sociology (8 obras) · Demography (7 obras) · Health disparities and outcomes (7 obras) · Geography (6 obras) · Global Health Care Issues (5 obras) · Mortality rate (5 obras) · Environmental health (4 obras) · Inequality (4 obras) · Population (4 obras)