Application of Latent Semantic Analysis for Open-Ended Responses in a Large, Epidemiologic Study

Abstract

Background: The Millennium Cohort Study is a longitudinal cohort study designed in the late 1990s to evaluate how military service may affect long-term health. The purpose of this investigation was to examine characteristics of Millennium Cohort Study participants who responded to the open-ended question, and to identify and investigate the most commonly reported areas of concern. Methods: Participants who responded during the 2001-2003 and 2004-2006 questionnaire cycles were included in this study (n = 108,129). To perform these analyses, Latent Semantic Analysis (LSA) was applied to a broad open-ended question asking the participant if there were any additional health concerns. Multivariable logistic regression was performed to examine the adjusted odds of responding to the open-text field, and cluster analysis was executed to understand the major areas of concern for participants providing open-ended responses. Results: Participants who provided information in the open-ended text field (n = 27,916), had significantly lower self-reported general health compared with those who did not provide information in the open-ended text field. The bulk of responses concerned a finite number of topics, most notably illness/injury, exposure, and exercise. Conclusion: These findings suggest generalized topic areas, as well as identify subgroups who are more likely to provide additional information in their response that may add insight into future epidemiologic and military research.

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Document Details

Document Type
Technical Report
Publication Date
Oct 05, 2011
Accession Number
ADA550577

Entities

People

  • Besa Smith
  • Cynthia A LeardMann
  • Isabel Gomez Jacobson
  • Marcia A. Derr
  • Margaret A.K. Ryan
  • Paul J. Amoroso
  • Peter W. Foltz
  • Travis D. Leleu
  • Tyler Clain Smith

Organizations

  • Naval Health Research Center

Tags

DTIC Thesaurus Topics

  • Air Force
  • Biomedical Research
  • Department Of Veterans Affairs
  • Education
  • Health
  • Health Services
  • Information Retrieval
  • Information Science
  • Medical Personnel
  • Mental Health
  • Military Personnel
  • Natural Language Processing
  • Pain
  • Public Health
  • Questionnaires
  • Statistical Analysis
  • Surveys

Readers

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