ArticleMilitary medicine2014
Classifying U.S. Army Military Occupational Specialties using the Occupational Information Network.
Article in Military medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed.
- Cognitive Polygenic Index is Associated with Occupational Complexity over and above Brain Morphometry.Behavior genetics · 2024Article
- Cognitive reserve in ALS: the role of occupational skills and requirements.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2024Article
- Visualization of latent components assessed in O*Net occupations (VOLCANO): A robust method for standardized conversion of occupational labels to ratio scale format.Behavior research methods · 2024Article
- Physical activity moderates the association between white matter hyperintensity burden and cognitive change.Frontiers in aging neuroscience · 2022Article
- Inorganic Dust Exposure During Military Service as a Predictor of Rheumatoid Arthritis and Other Autoimmune Conditions.ACR open rheumatology · 2021Article
- Occupational Patterns of Structural Brain Health: Independent Contributions Beyond Education, Gender, Intelligence, and Age.Frontiers in human neuroscience · 2019Article
- The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS): progress toward understanding suicide among soldiers.Molecular psychiatry · 2019Review
- Lifetime Suicidal Behaviors and Career Characteristics Among U.S. Army Soldiers: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).Suicide & life-threatening behavior · 2018Article
- Relating Older Workers' Injuries to the Mismatch Between Physical Ability and Job Demands.Journal of occupational and environmental medicine · 2017Article
- Defining occupation-specific performance components for military selection and classification.Military psychology : the official journal of the Division of Military Psychology, American Psychological AssociationArticle
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
objectivesTo derive job condition scales for future studies of the effects of job conditions on soldier health and job functioning across Army Military Occupation Specialties (MOSs) and Areas of Concentration (AOCs) using Department of Labor (DoL) Occupational Information Network (O*NET) ratings.
methodsA consolidated administrative dataset was created for the "Army Study to Assess Risk and Resilience in Servicemembers" (Army STARRS) containing all soldiers on active duty between 2004 and 2009. A crosswalk between civilian occupations and MOS/AOCs (created by DoL and the Defense Manpower Data Center) was augmented to assign scores on all 246 O*NET dimensions to each soldier in the dataset. Principal components analysis was used to summarize these dimensions.
resultsThree correlated components explained the majority of O*NET dimension variance: "physical demands" (20.9% of variance), "interpersonal complexity" (17.5%), and "substantive complexity" (15.0%). Although broadly consistent with civilian studies, several discrepancies were found with civilian results reflecting potentially important differences in the structure of job conditions in the Army versus the civilian labor force.
conclusionsPrincipal components scores for these scales provide a parsimonious characterization of key job conditions that can be used in future studies of the effects of MOS/AOC job conditions on diverse outcomes.
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