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. 2018 Feb 14;113(6):1117–1126. doi: 10.1111/add.14158

Table 4.

The effects of the socio‐economic status (SES) measures on the burden of smoking: number (n) and fraction (%) of women in each socio‐economic stratum, adjusted odds ratio (aOR; from model 3, Table 3), attributable fraction (AF) and stratum‐specific total attributable fraction (sTAF).

N % aOR AF sTAF
Level and type of highest education
Tertiary level: university degrees 776 29.1 Ref. Ref. Ref.
Tertiary level: vocational degrees 804 30.1 2.2 0.54 0.16
Secondary level: vocational + general sec. school degree 220 8.2 4.4 0.77 0.06
Secondary level: general sec. school degree 216 8.1 2.9 0.65 0.05
Secondary level: vocational degree 578 21.7 9.5 0.89 0.19
Compulsory schooling only 73 2.7 14.4 0.93 0.03
All categories (TAF) 0.50
Occupational class (ESeC)
Salaried class 1130 42.4 Ref. Ref. Ref.
Intermediate class 406 15.2 1.2 0.16 0.02
Working class 965 36.2 1.3 0.23 0.08
Unemployed or no occupation 166 6.2 1.2 0.17 0.01
All categories (TAF) 0.12
Received income support
No 2523 95.8 Ref. Ref. Ref.
Yes 107 4.2 1.8 0.46 0.02
All categories (TAF) 0.02
Subjective economic wellbeing (SEW)
Lowest tertile 1112 41.9 1.2 0.16 0.07
Middle tertile 824 31.0 1.0 −0.05 −0.02
Highest tertile 719 27.1 Ref. Ref. Ref.
All categories (TAF) 0.05

Target population: the FinnBrain cohort mothers born 1976 or after (n = 2667). Data sources: FinnBrain questionnaires, except smoking in first trimester (linked from the Finnish Medical Birth Registry), education and occupational class (linked from Statistics Finland's registers).

Non‐imputed data were used when reporting number of cases in variable categories. Simulated multiple imputations for missing values were used for estimating proportions of cases in categories of income support recipiency (n missing values = 37) and SEW (n missing values = 12). ESeC = European Socio‐economic Classification.