Aging of Veterans of the Union Army: Surgeons' Certificates, Version S-1 Standardized, 1862-1940

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1 novembre 2019

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Robert W. et al. Fogel, « Aging of Veterans of the Union Army: Surgeons' Certificates, Version S-1 Standardized, 1862-1940 », Inter-university Consortium for Political and Social Research, ID : 10.3886/ICPSR03417.v1


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This data collection constitutes a portion of the historical data collected by the project "Early Indicators of Later Work Levels, Disease, and Death." With the goal of constructing datasets suitable for longitudinal analyses of factors affecting the aging process, the project collects military, medical, and socioeconomic data on a sample of white males mustered into the Union Army during the Civil War. The surgeons' certificates contain information from examining physicians to determine eligibility for pension benefits. Also included are questions regarding the age, occupation, residence, and military experience of the veterans. These data can be linked to AGING OF VETERANS OF THE UNION ARMY: MILITARY, PENSION, AND MEDICAL RECORDS, 1820-1940 (ICPSR 6837) and AGING OF VETERANS OF THE UNION ARMY: UNITED STATES FEDERAL CENSUS RECORDS, 1850, 1860, 1900, 1910 (ICPSR 6836) using the variable "recidnum." This version of the Surgeons' Certificates differs from the previous version, AGING OF VETERANS OF THE UNION ARMY: SURGEONS' CERTIFICATES, 1860-1940 (ICPSR 2877), in that the data contain standard codes for medical variables and that 5,346 new observations have been added from Ohio veterans. This collection studies the health conditions and disabilities of Union Army veterans, identifying relationships between biomedical and socioeconomic conditions. Also examined is the impact of age at onset of disabilities, comorbidities, and rates of deterioration on waiting time to death. These data also look at the connection between the burden of diseases and the cause of death among Union Army veterans compared to that of persons dying toward the end of the twentieth century. The investigators seek to determine how the age-specific curve of chronic disease burdens after age 50 has changed over time.

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