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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: Womens Health Issues. 2016 Feb 18;26(3):268–277. doi: 10.1016/j.whi.2016.01.001

TABLE 3.

Risk of Most-Recent-Deployment-Related PTSD Among RNG Wave 1 Participants who Experienced One or More Potentially Traumatic Events Related to Their Most Recent Deployment (N=914)

Variable Value Model 1 Model 2 Model 3 Model 4

Beta OR 95% CI p-value Beta OR 95% CI p-value Beta OR 95% CI p-value Beta OR 95% CI p-value
Gender Male -- 1 -- -- -- -- -- -- -- -- -- -- -- -- -- --
Female 0.12 1.12 0.54–2.32 0.76 1.50 Not shown Not shown 0.006 2.35 Not shown Not shown 0.0002 2.38 Not Shown Not Shown 0.0003

Military Authority Officer -- 1 -- -- -- -- -- -- -- -- -- -- -- -- -- --
Enlisted 0.04 1.04 0.58–1.87 0.89 0.43 Not shown Not shown 0.25 0.28 Not shown Not shown 0.46 0.32 Not Shown Not Shown 0.43

PTSD before most-recent-deployment No -- 1 -- -- -- 1 -- -- -- 1 -- -- -- 1 -- --
Yes 0.88 5.16 2.28–11.67 0.0001 -- 5.02 2.20–11.46 -- -- 6.22 2.56–15.08 -- -- 5.76 2.41–13.79 --

Gender X Military Authority (interaction term) −1.94 Not shown Not shown 0.01 −2.42 -- -- 0.007 −2.37 -- -- 0.01

Number of Deployment-related Traumas 1–2 -- 1 -- -- -- 1 -- --
3–5 -- 7.22 2.96–17.58 -- -- 3.78 0.97–14.79 --
6+ -- 21.02 8.77–50.40 -- -- 8.66 1.83–40.89 --

Assaultive Traumas, Non-sexual No 1 -- --
Yes 2.41 0.69–8.37 --

Sexual Trauma No 1 -- --
Yes 0.85 0.05–14.03 --

Shocking Event or Injury No 1 -- --
Yes 1.82 0.46–7.23 --

Learning of Traumas No 1 -- --
Yes 0.80 0.37–1.73 --

Sudden Death of a Loved One No 1 -- --
Yes 1.51 0.78–2.93 --

“Other” Traumas No 1 -- --
Yes 1.70 0.87–3.34 --

−2LL 470.47 466.21 403.83 397.77

Note: ‘PTSD Related to Most Recent Deployment’ refers to reporting Post-Traumatic Stress Disorder (PTSD) criteria consistent with a PTSD diagnosis in relation to an event related to a participant’s most-recent deployment; Officers include both commissioned and warrant officers. 2LL refers to the −2 Log Likelihood, a relative measure of model fit; lower values indicate better model fit.