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. 2022 Jun 18;19:101149. doi: 10.1016/j.ssmph.2022.101149

Table 2.

MAIHDA models predicting likelihood of experiencing mental distress, declaring chronic mental illness, or declaring self-harm in the last year (at age 25), split by university attendance.


Adulthood mental health problems at age 25

Mental distress (GHQ)
Chronic mental illness
Self-harmed

No University
N = 2497
University
N = 2736
No University
N = 2534
University
N = 2751
No University
N = 2470
University
N = 2719
Main Effects Model OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
Intercept 0.28 (0.22, 0.36)* 0.45 (0.37, 0.54)* 0.04 (0.02, 0.06)* 0.05 (0.04, 0.08)* 0.01 (0.01, 0.02)* 0.01 (0.01, 0.03)*
Adolescent mental distress at either ages 15 or 17 (GHQ)
(Ref: No mental distress at both ages 15 or 17)
3.06 (2.50, 3.79)* 2.31 (1.93, 2.76)* 2.61 (1.82, 3.61)* 1.40 (0.96, 1.95) 3.46 (1.99, 5.78)* 2.87 (1.63, 5.24)*
Female (Ref: Male) 1.31 (1.06, 1.59)* 1.31 (1.08, 1.54)* 1.43 (1.01, 1.96)* 1.52 (1.04, 2.14)* 1.45 (0.89, 2.24) 1.33 (0.76, 2.09)
Social deprivation (IDACI)
(Ref: Lowest deprivation)
 Medium deprivation 1.37 (1.04, 1.73)* 0.84 (0.68, 1.03) 1.47 (0.95, 2.03) 0.88 (0.58, 1.32) 1.32 (0.73, 2.17) 0.85 (0.44, 1.48)
 Highest deprivation 1.39 (1.05, 1.79)* 0.94 (0.72, 1.18) 1.55 (1.00, 2.26)* 1.22 (0.74, 1.99) 1.18 (0.63, 2.06) 1.08 (0.50, 2.01)
Sexual minority (Ref: Heterosexual/straight) 2.14 (1.44, 3.03)* 2.15 (1.50, 2.99)* 3.87 (2.50, 5.88)* 4.02 (2.52, 6.07)* 7.19 (3.86, 11.74)* 3.85 (2.01, 6.78)*
Ethnicity (Ref: White)
 Black 1.06 (0.65, 1.60) 0.92 (0.63, 1.29) 0.29 (0.07, 0.67)* 0.32 (0.11, 0.73)* 0.96 (0.24, 2.30) 0.0001 (0.00, 0.00)
 Asian 0.75 (0.55, 1.00) 1.00 (0.79, 1.25) 0.33 (0.15, 0.60)* 0.33 (0.17, 0.57)* 0.57 (0.18, 1.23) 0.69 (0.30, 1.28)
 Other Ethnic Group (including mixed)
0.77 (0.50, 1.18)
0.94 (0.65, 1.30)
0.64 (0.25, 1.19)
0.76 (0.37, 1.31)
1.02 (0.30, 2.25)
1.84 (0.82, 3.43)
Mean (95% CI) Mean (95% CI) Mean (95% CI) Mean (95% CI) Mean (95% CI) Mean (95% CI)
Between-Strata Variance 0.02 (0.001, 0.07) 0.01 (0.0004, 0.03) 0.03 (0.001, 0.14) 0.03 (0.001, 0.20) 0.05 (0.001, 0.30) 0.07 (0.001, 0.52)
DIC 265.19 310.31 181.20 205.73 153.72 154.36
VPC (%)
0.6
0.2
0.8
1.0
1.5
2.1
Null Model OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
Intercept
0.74 (0.59, 0.93)*
0.82 (0.67, 0.99)*
0.09 (0.06, 0.12)*
0.07 (0.05, 0.09)*
0.04 (0.02, 0.06)*
0.03 (0.02, 0.04)*
Mean (95% CI) Mean (95% CI) Mean (95% CI) Mean (95% CI) Mean (95% CI) Mean (95% CI)
Between-Strata Variance 0.48 (0.24, 0.86) 0.31 (0.15, 0.61) 0.81 (0.36, 1.58) 0.56 (0.15, 1.29) 1.49 (0.53, 3.06) 1.02 (0.14, 2.86)
DIC 294.25 338.89 206.53 239.63 171.94 177.88
VPC (%) 12.7 8.6 19.7 14.5 31.2 23.7
PCV (%) 96.1 97.8 96.8 94.2 96.6 93.0

Note. *95% credible intervals do not cross one, so effect is significant. OR = Odds Ratio. The Deviance Information Criterion (DIC) is used as a goodness-of-fit measure for Bayesian multilevel models; lower DIC scores indicate a better fit. Both the VPC and PCV values have been multiplied by 100 and presented as percentages.