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Millennium Cohort Study

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RESULTS Overall, 108,129 Service members enrolled in panels 1 and 2 of the Millennium Cohort Study and completed baseline survey. Service members who were not in active duty or National Guard/Reserves at baseline (n=5,079), who did not remain in the assigned separation category until end of study (n=37,922), who did not complete at least two follow-up surveys (n=27,984), and who had missing covariate data (n=5,974) were excluded from the study. Exclusion criteria resulted in 31,170 study participants among whom approximately 18% (n=5,510) were categorized as veterans. Majority of the study participants were male gender, aged 25-44, White, non-Hispanic, with less than a bachelor’s degree, married, and overweight. Veterans and Service …show more content…

Furthermore, significant positive dose-response relationships were observed between smoking and number of combat exposures as well as smoking and the amount of alcohol consumption. As stated, time until separation, defined as time spent in Service between the completion of baseline survey and date of separation, was further investigated among the veterans group (n=5,510). Table 3 shows the results of the time until separation sub-analysis. The smoking prevalence were 23%, 20%, 20%, and 17% for less than 3 months, 3 months to less than 1 year, 1 year to less than 2 years, and 2+ years, respectively. The differences of smoking prevalence by time until separation gradually diminished over time after participants separated from service. By time 3, all groups had similar smoking prevalence (12%-14%). At univariate level, a dose-response relationship was observed as the closer participants were to the separation date at baseline, the higher chance of them being a smoker. However, GEE model only revealed significantly elevated odds among those stayed in service between 3 months to a year after the completion of baseline survey. For analyses examining type of separation, we further excluded Reserve and National Guard personnel (n=1,658) due to the lack of separation data. Table 4 shows smoking prevalence, unadjusted, and adjusted odds ratios of smoking among

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