Sample Descriptives

Mean SD Min Max
Responses 51.03 32.62 6 112
Days 17.97 9.04 4 28

Question 1: How much do these factors vary within person over the post-hospitalization period?

  • Not using the resist item b/c most people didn’t get it

Descriptives

RMSSD Mean   RMSSD SD   RMSSD Min   RMSSD Max   ICC   ICC 95% CI  
AvgNeg 0.74 0.29 0.15 1.41 0.5 0.4 - 0.64
Mood_Back 1.08 0.55 0 2.55 0.32 0.23 - 0.46
Mood_Forward 1.25 0.55 0 2.36 0.38 0.29 - 0.52
Hope_TOT 2.41 1.36 0 7.4 0.72 0.62 - 0.81
INQ_BEL_FAM_TOT 1.86 1.06 0 6.23 0.82 0.75 - 0.89
INQ_BEL_FRIEND_TOT 1.77 1.1 0 6.58 0.76 0.67 - 0.84
Sleep_Eff_1 4.67 4.4 0 16.63 0.5 0.38 - 0.64
Sleep_Eff_2 5.13 4.33 0 16.47 0.51 0.4 - 0.65
Sleep_TST_1 74.62 76.93 0 464.81 0.32 0.22 - 0.46
Sleep_TST_2 74.1 76.83 0 464.81 0.32 0.23 - 0.46
Sleep_Quality 0.55 0.32 0 1.58 0.33 0.24 - 0.46
DESIRE_DIE 0.76 0.48 0 1.76 0.43 0.32 - 0.56
INTENT 0.48 0.39 0 1.3 0.46 0.35 - 0.59
SAFETY 0.39 0.32 0 1.08 0.47 0.36 - 0.61
DESIRE_LIVE 0.78 0.49 0 2.04 0.69 0.58 - 0.8
Mean SD Min Max
Responses 51.03 32.62 6 112
Days 17.97 9.04 4 28

Figures for each variable

Figures for all variables together (Prob messy)

Question 2. How sleep quality and quantity impact next day STB outcomes?

  • I can do other models here – we may also want to combine the SI variables, but we’d lose some data since not everyone got all questions.
  • There are other stats to report, I’m not showing CIs in this b/c it makes the table hard to read
  • Not using resist b/c most people didn’t get it

Using SE and TST 1

  SITB CHECK DESIRE SITB CHECK INTENT SITB CHECK SAFETY SITB CHECK DESIRE TO LIVE
Predictors Estimates p Estimates p Estimates p Estimates p
(Intercept) 0.655 <0.001 0.381 <0.001 1.245 <0.001 2.710 <0.001
SLEEP Efficiency 1 pmean 0.003 0.334 0.004 0.043 0.001 0.652 0.006 0.027
SLEEP TST 1 pmean -0.000 0.086 -0.000 0.062 -0.000 0.465 -0.000 0.093
SLEEP Quality pmean -0.009 0.771 -0.000 0.989 0.005 0.727 -0.052 0.060
Random Effects
σ2 0.61 0.28 0.13 0.50
Ï„00 0.46 ID 0.25 ID 0.11 ID 1.20 ID
ICC 0.43 ID 0.47 ID 0.45 ID 0.71 ID
Observations 1319 1319 1306 1295
Marginal R2 / Conditional R2 0.001 / 0.433 0.002 / 0.468 0.000 / 0.449 0.002 / 0.708

Using SE and TST 2

  SITB CHECK DESIRE SITB CHECK INTENT SITB CHECK SAFETY SITB CHECK DESIRE TO LIVE
Predictors Estimates p Estimates p Estimates p Estimates p
(Intercept) 0.657 <0.001 0.381 <0.001 1.245 <0.001 2.713 <0.001
SLEEP Efficiency 2 pmean 0.007 0.019 0.005 0.007 0.002 0.244 0.010 <0.001
SLEEP TST 2 pmean -0.001 0.014 -0.000 0.026 -0.000 0.257 -0.001 0.009
SLEEP Quality pmean -0.023 0.454 -0.005 0.790 0.002 0.905 -0.068 0.014
Random Effects
σ2 0.60 0.28 0.13 0.49
Ï„00 0.46 ID 0.25 ID 0.11 ID 1.20 ID
ICC 0.43 ID 0.47 ID 0.45 ID 0.71 ID
Observations 1319 1319 1306 1295
Marginal R2 / Conditional R2 0.003 / 0.435 0.003 / 0.469 0.001 / 0.449 0.004 / 0.710

Question 3. How do changes in affective and cognitive risk factors (SCs) predict increases in STB outcomes later that day?

  • I used the INQ variables, but we can use all sorts of things here
  • This might make for a cool figure, since it shows how the variables become non-significant over time– but amazing how long their effects last!

Contemporaneous

  SITB CHECK DESIRE SITB CHECK INTENT SITB CHECK SAFETY SITB CHECK DESIRE TO LIVE
Predictors Estimates p Estimates p Estimates p Estimates p
(Intercept) 0.66 <0.001 0.36 <0.001 1.26 <0.001 2.76 <0.001
AF_Avg_Neg_pmean 0.24 <0.001 0.09 <0.001 0.06 <0.001 0.27 <0.001
HOPE_Total_pmean 0.09 <0.001 0.05 <0.001 0.03 <0.001 0.09 <0.001
INQ_BEL_FRIEND_TOT_pmean -0.05 <0.001 -0.01 0.022 -0.02 <0.001 -0.05 <0.001
INQ_BEL_FAM_TOT_pmean -0.06 <0.001 -0.02 0.006 -0.01 0.218 -0.04 <0.001
Random Effects
σ2 0.45 0.22 0.11 0.35
Ï„00 0.43 ID 0.23 ID 0.12 ID 1.16 ID
ICC 0.49 ID 0.51 ID 0.52 ID 0.77 ID
Observations 1830 1830 1683 1659
Marginal R2 / Conditional R2 0.146 / 0.565 0.063 / 0.540 0.046 / 0.545 0.091 / 0.791

Next observation (but within same day)

  SITB CHECK DESIRE lead 1 SITB CHECK INTENT lead 1 SITB CHECK SAFETY lead 1 SITB CHECK DESIRE TO LIVE
lead 1
Predictors Estimates p Estimates p Estimates p Estimates p
(Intercept) 0.66 <0.001 0.35 <0.001 1.25 <0.001 2.77 <0.001
AF_Avg_Neg_pmean 0.04 0.278 -0.00 0.970 0.04 0.018 0.15 <0.001
HOPE_Total_pmean 0.07 <0.001 0.03 <0.001 0.01 0.026 0.05 <0.001
INQ_BEL_FRIEND_TOT_pmean -0.03 0.041 -0.01 0.490 -0.02 0.004 -0.03 0.024
INQ_BEL_FAM_TOT_pmean -0.03 0.022 -0.02 0.025 0.00 0.681 -0.03 0.026
Random Effects
σ2 0.55 0.23 0.10 0.44
Ï„00 0.44 ID 0.22 ID 0.11 ID 1.21 ID
ICC 0.44 ID 0.49 ID 0.53 ID 0.74 ID
Observations 1180 1180 1087 1077
Marginal R2 / Conditional R2 0.045 / 0.469 0.017 / 0.494 0.015 / 0.536 0.030 / 0.744

Two observations later (but within same day)

  SITB CHECK DESIRE lead 2 SITB CHECK INTENT lead 2 SITB CHECK SAFETY lead 2 SITB CHECK DESIRE TO LIVE
lead 2
Predictors Estimates p Estimates p Estimates p Estimates p
(Intercept) 0.64 <0.001 0.33 <0.001 1.20 <0.001 2.75 <0.001
AF_Avg_Neg_pmean 0.02 0.626 -0.02 0.500 -0.04 0.055 0.04 0.368
HOPE_Total_pmean 0.06 <0.001 0.03 0.001 0.02 0.006 0.07 <0.001
INQ_BEL_FRIEND_TOT_pmean -0.04 0.030 -0.01 0.360 -0.02 0.030 -0.00 0.864
INQ_BEL_FAM_TOT_pmean -0.04 0.035 -0.02 0.100 0.01 0.480 -0.02 0.229
Random Effects
σ2 0.55 0.20 0.10 0.43
Ï„00 0.49 ID 0.25 ID 0.12 ID 1.21 ID
ICC 0.47 ID 0.56 ID 0.54 ID 0.74 ID
Observations 651 651 593 590
Marginal R2 / Conditional R2 0.041 / 0.492 0.017 / 0.564 0.012 / 0.550 0.019 / 0.743

Three observations later (but within same day)

  SITB CHECK DESIRE lead 3 SITB CHECK INTENT lead 3 SITB CHECK SAFETY lead 3 SITB CHECK DESIRE TO LIVE
lead 3
Predictors Estimates p Estimates p Estimates p Estimates p
(Intercept) 0.67 <0.001 0.35 0.001 1.20 <0.001 2.62 <0.001
AF_Avg_Neg_pmean 0.21 0.006 0.12 0.015 -0.00 0.972 0.15 0.042
HOPE_Total_pmean 0.02 0.369 -0.01 0.474 0.00 0.807 0.06 0.006
INQ_BEL_FRIEND_TOT_pmean -0.04 0.108 0.01 0.509 -0.03 0.020 -0.07 0.009
INQ_BEL_FAM_TOT_pmean -0.03 0.275 -0.01 0.756 0.01 0.438 0.01 0.827
Random Effects
σ2 0.44 0.20 0.10 0.35
Ï„00 0.49 ID 0.26 ID 0.07 ID 1.43 ID
ICC 0.52 ID 0.57 ID 0.42 ID 0.80 ID
Observations 259 259 227 227
Marginal R2 / Conditional R2 0.041 / 0.544 0.012 / 0.572 0.016 / 0.432 0.030 / 0.810

Plots

SI type = Desire to die