Injury and demographic factors predictive of disparities in earnings after spinal cord injury. 2006

James S Krause, and Joseph V Terza
College of Health Professions, Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC, USA. Krause@musc.edu

OBJECTIVE To identify differences in earnings after spinal cord injury (SCI) attributable to demographic factors, injury severity, and education using a regression model that accounts for employment status, conditional earnings (earnings of those employed only), and unconditional earnings (earnings from employment for all participants with $0 recorded for those unemployed). METHODS Secondary analysis of cross-sectional survey data. METHODS A midwestern university hospital and a private hospital in the southeastern United States. METHODS Adults with traumatic SCI of at least 2 years duration and under the traditional retirement age of 65 completed mailed surveys (n=615). METHODS Not applicable. METHODS Conditional and unconditional earnings. Earnings were measured by a single item that grouped earnings into the following 8 categories: (1) less than $10,000, (2) $10,000 to $14,999, (3) $15,000 to 19,999, (4) $20,000 to 24,999, (5) $25,000 to 34,999, (6) $35,000 to 49,999, (7) $50,000 to 74,999, and (8) $75,000 or more. RESULTS Several factors investigated were significantly associated with employment status (sex, race, age, neurologic level of injury, ambulatory status, years since injury, educational level), but conditional earnings were significantly related to only 3 factors. Higher conditional earnings were obtained by men, non-African Americans, and those with a college degree. Unconditional earnings were significantly higher among those with the following characteristics: male, non-African Americans, age 34 and less, ambulatory, and those who completed some education beyond high school. CONCLUSIONS There are substantial differences in the likelihood of postinjury employment as a function of participant characteristics. These disparities are compounded for women, African Americans, and those with less than a college degree by differences in conditional earnings among those employed.

UI MeSH Term Description Entries
D007182 Income Revenues or receipts accruing from business enterprise, labor, or invested capital. Income Distribution,Income Generation Programs,Savings,Distribution, Income,Distributions, Income,Income Distributions,Income Generation Program,Incomes,Program, Income Generation,Programs, Income Generation
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003710 Demography Statistical interpretation and description of a population with reference to distribution, composition, or structure. Demographer,Demographic,Demographic and Health Survey,Population Distribution,Accounting, Demographic,Analyses, Demographic,Analyses, Multiregional,Analysis, Period,Brass Technic,Brass Technique,Demographers,Demographic Accounting,Demographic Analysis,Demographic Factor,Demographic Factors,Demographic Impact,Demographic Impacts,Demographic Survey,Demographic Surveys,Demographic and Health Surveys,Demographics,Demography, Historical,Demography, Prehistoric,Factor, Demographic,Factors, Demographic,Family Reconstitution,Historical Demography,Impact, Demographic,Impacts, Demographic,Multiregional Analysis,Period Analysis,Population Spatial Distribution,Prehistoric Demography,Reverse Survival Method,Stable Population Method,Survey, Demographic,Surveys, Demographic,Analyses, Period,Analysis, Demographic,Analysis, Multiregional,Demographic Analyses,Demographies, Historical,Demographies, Prehistoric,Distribution, Population,Distribution, Population Spatial,Distributions, Population,Distributions, Population Spatial,Family Reconstitutions,Historical Demographies,Method, Reverse Survival,Method, Stable Population,Methods, Reverse Survival,Methods, Stable Population,Multiregional Analyses,Period Analyses,Population Distributions,Population Methods, Stable,Population Spatial Distributions,Prehistoric Demographies,Reconstitution, Family,Reconstitutions, Family,Reverse Survival Methods,Spatial Distribution, Population,Spatial Distributions, Population,Stable Population Methods,Technic, Brass,Technique, Brass
D004651 Employment The state of being engaged in an activity or service for wages or salary. Employment Termination,Employment Status,Labor Force,Occupational Status,Status, Occupational,Underemployment,Labor Forces,Status, Employment,Termination, Employment
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly

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