Skip to main content
. 2016 Nov 11;52(1):95–103. doi: 10.1007/s00127-016-1308-2

Table 3.

Odds ratios [OR] for the univariable associations of ICD10 depression at 18 years with previous depressive symptoms and indicators of socioeconomic position

SEP indicator N OR 95% CI OR 95% CI multiple imputations OR 95% CI multiple imputations log[IMOR] = 1a OR 95% CI multiple imputations mutually adjustedb
Previous depressive symptoms 4563 7.18 [5.58 9.24] 6.85 [5.20 9.05] 7.20 [5.60 9.26] 5.66 [4.19 7.64]
Manual social class 3984 1.20 [0.94 1.52] 1.16 [0.91 1.47] 1.47 [1.35 1.61] 0.99 [0.74 1.33]
Rented accommodation 4176 1.58 [1.20 2.09] 1.47 [1.11 1.95] 1.63 [1.45 1.82] 1.32 [0.94 1.83]
Major financial problems 3873 1.45 [1.04 2.01] 1.44 [1.04 1.99] 1.08 [0.95 1.24] 1.02 [0.70 1.49]
No car access 4173 1.54 [0.99 2.42] 1.36 [0.88 2.11] 1.60 [1.33 1.93] 0.97 [0.58 1.62]
Material hardship 4045 1.74 [1.35 2.24] 1.73 [1.34 2.24] 1.47 [1.32 1.63] 1.57 [1.16 2.12]
Maternal education 4152
≥ A-level 1 1 1 1
O-level 1.27 [1.00 1.63] 1.24 [0.96 1.60] 1.12 [1.02 1.22] 1.20 [0.89 1.61]
CSE/vocational 1.11 [0.82 1.52] 1.10 [0.80 1.53] 1.65 [1.49 1.84] 0.99 [0.68 1.47]

aThe NMAR assumption is quantified through a missing not at random OR (IMOR). IMOR (informative missing OR) corresponds to the difference: delta = logit(Prob(case diagnosed if missing) − logit(Prob(case diagnosed if observed). IMOR of 0.1 would indicate a very strong association between being a ‘case’ (i.e. having depression) and missing data. A very small value of log(IMOR) close to 0 would represent an assumption of missing at random. The sensitivity analyses also assumed that missing data dependencies are distributed at random among those with low and high SEP

bAdjustment also included gender