Evidence map›Paper›PMID 19552993›Full record

ArticleSocial science & medicine (1982)2009

Occupational career and risk of mortality among US Civil War veterans.

Dejun Su

Open access · greenAbstract readHistorical Article
In one paragraph

Article in Social science & medicine (1982), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Dejun SuDepartment of Sociology, The University of Texas-Pan American, 1201 W. University Drive, Edinburg, TX 78541, USA. dsu@utpa.edu

Funding

THE POLITICAL ECONOMY OF PUBLIC HEALTH, 1870-1940P01AG010120 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI MARGO, ROBERT · 1992 to 2018
$31.5M
NIA NIH HHS AG 10120-09A1NIA NIH HHS P01 AG010120
6 · The paper itself

Abstract

Previous studies have extended the traditional framework on occupational disparities in health by examining mortality differentials from a career perspective. Few studies, however, have examined the relation between career and mortality in a historical U.S. population. This study explores the relation between occupational career and risk of mortality in old age among 7096 Union Army veterans who fought the American Civil War in the 1860s. Occupational mobility was commonplace among the veterans in the postbellum period, with 54% of them changing occupations from the time of enlistment to 1900. Among veterans who were farmers at enlistment, 46% of them changed to a non-farming occupation by the time of 1900. Results from the Cox Proportional Hazard analysis suggest that relative to the average mortality risk of the sample, being a farmer at enlistment or circa 1900 are both associated with a lower risk of mortality in old age, although the effect is more salient for veterans who were farmers at enlistment. Occupational immobility for manual labors poses a serious threat to chance of survival in old age. These findings still hold after adjusting for the effects of selected variables characterizing risk exposures during early life, wartime, and old age. The robustness of the survival advantage associated with being a farmer at enlistment highlights the importance of socioeconomic conditions early in life in chance of survival at older ages.

Indexed as

American Civil WarAdolescentAdultAgedAged, 80 and overHealth Status DisparitiesHistory, 19th CenturyHistory, 20th CenturyHumansMaleMiddle AgedMilitary PersonnelMortalityPilot ProjectsProportional Hazards ModelsRisk

Identifiers

PMID19552993
PMCPMC2852134
OpenAlexW1976032180

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.