Predicting Attrition, Performance, Reenlistment, and Hospitalization From the Smoking History of Women Prior to Entering the Navy

Abstract

This is a study of women sailors and whether their tobacco use prior to entering the Navy is predictive of subsequent job performance, including attrition prior to completing the first term of enlistment, performance evaluation and career advancement, disciplinary problems, reenlistment, and hospitalizations of various types. The sample includes over 5,500 women entering the US Navy between March 1996 and March 1997. These women were participants in "Operation Stay Quit" (OSQ), a study funded by the Defense Women's Health Research Program (DWHRP) through the US Army Medical Research and Materiel Command (Grant #DAMD17-95-1-5075, "Improving Navy Women's Health: Preventing Smoking Relapse After Recruit Training"). Detailed information on women recruits' smoking history was collected in the OSQ study, and this dataset provides the opportunity to examine prospectively the relationship between tobacco use prior to entering the Navy and subsequent career performance. Information on attrition and career performance has been obtained from the Career History Archival Medical and Personnel System (CHAMPS) database and matched with the OSQ smoking data. Statistical analyses are underway to examine whether a women's smoking history prior to entering the Navy is a prospective predictor of career outcomes and hospitalizations after 5-6 years of Navy service. Identifying predictors of attrition, performance, and hospitalizations is an important first step for developing actions to prevent or circumvent the high cost's associated with lifestyle-related early attrition and poor job performance and health outcomes.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2005
Accession Number
ADA442986

Entities

People

  • Terry L. Conway

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Research
  • Data Analysis
  • Databases
  • Education
  • Enlisted Personnel
  • Health
  • Health Services
  • Hospitalizations
  • Information Science
  • Medical Personnel
  • Military Personnel
  • Personality
  • Recruiting
  • Recruits
  • Reenlistment
  • Statistical Analysis
  • Women'S Health

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