Assessing Nonresponse Bias at Follow-up in a Large Prospective Cohort of Relatively Young and Mobile Military Service Members

Abstract

Background: Nonresponse bias in a longitudinal study could affect the magnitude and direction of measures of association. We identified sociodemographic, behavioral, military, and health related predictors of response to the first follow-up questionnaire in a large military cohort and assessed the extent to which nonresponse biased measures of association. Methods: Data are from the baseline and first follow-up survey of the Millennium Cohort Study. Seventy-six thousand, seven hundred and seventy-five eligible individuals completed the baseline survey and were presumed alive at the time of follow-up; of these, 54,960 (71.6%) completed the first follow-up survey. Logistic regression models were used to calculate inverse probability weights using propensity scores. Results: Characteristics associated with a greater probability of response included female gender, older age, higher education level, officer rank, active-duty status, and a self-reported history of military exposures. Ever smokers, those with a history of chronic alcohol consumption or a major depressive disorder, and those separated from the military at follow-up had a lower probability of response. Nonresponse to the follow-up questionnaire did not result in appreciable bias; bias was greatest in subgroups with small numbers. Conclusions: These findings suggest that prospective analyses from this cohort are not substantially biased by non-response at the first follow-up assessment.

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Document Details

Document Type
Technical Report
Publication Date
Oct 21, 2010
Accession Number
ADA530996

Entities

People

  • Alyson J. Littman
  • Besa Smith
  • Edward J. Boyko
  • Gary Dean Gackstetter
  • Isabel Gomez Jacobson
  • Jaime Horton
  • Paul J. Amoroso
  • Timothy Steven Wells
  • Tomoko Hooper
  • Tyler Clain Smith

Organizations

  • Naval Health Research Center

Tags

DTIC Thesaurus Topics

  • Active Duty
  • Air Force
  • Department Of Veterans Affairs
  • Depression
  • Diseases And Disorders
  • Eating Disorders
  • Education
  • Electronic Mail
  • Health Services
  • Medical Personnel
  • Mental Disorders
  • Military Personnel
  • Military Science
  • Probability
  • Statistical Analysis
  • Surveys
  • Warfare

Fields of Study

  • Medicine

Readers

  • Gender and Food Studies
  • Mental Health of Military Veterans with Posttraumatic Stress Disorder (PTSD): Risk Factors, Prevalence, Symptoms, and Treatment.
  • Regression Analysis.