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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: Alcohol Clin Exp Res. 2017 Oct 9;41(11):1928–1937. doi: 10.1111/acer.13494

Table 2.

Associations between socioeconomic characteristics and the three key adverse substance use outcomes

Risk factor Category Alcohol behavioural problems Cannabis moderate use Tobacco weekly use
Ethnicity White 454 (9.5%) 452 (9.4%) 497 (10.2%)
Non-white 23 (10.2%) 29 (12.8%) 26 (11.4%)
P 0.705 0.090 0.570
Maternal age at delivery <25 years 88 (11.6%) 74 (9.6%) 120 (15.5%)
25–29 173 (8.9%) 157 (8.1%) 206 (10.5%)
30–34 157 (9.2%) 163 (9.5%) 148 (8.6%)
35+ years 62 (9.7%) 91 (14.2%) 54 (8.4%)
P 0.192 < 0.001 < 0.001
Housing tenure Mortgaged/owned 364 (8.8%) 373 (9%) 386 (9.3%)
Privately rented 38 (10.7%) 41 (11.6%) 44 (12.2%)
Subsidized housing 62 (15.4%) 53 (13.1%) 74 (18.0%)
P < 0.001 0.012 < 0.001
Parity 1st child 193 (8.1%) 201 (8.4%) 219 (9.0%)
2nd 186 (11.0%) 174 (10.3%) 181 (10.6%)
3rd or greater 82 (10.4%) 94 (11.8%) 97 (12.0%)
P 0.004 0.008 0.031
Maternal education > O-level 183 (8.1%) 233 (10.3%) 164 (7.2%)
O-level 179 (10.6%) 145 (8.5%) 212 (12.4%)
< O-level 103 (11.0%) 94 (10.0%) 127 (13.4%)
P 0.007 0.147 < 0.001
Equivalized income Top 20% 98 (9.1%) 101 (9.3%) 79 (7.2%)
Middle 60% 243 (9.0%) 253 (9.4%) 278 (10.2%)
Bottom 20% 80 (12.4%) 77 (11.9%) 93 (14.1%)
P 0.027 0.131 < 0.001
Parental social class Professional 52 (6.5%) 70 (8.8%) 43 (5.4%)
Managerial/technical 197 (9.3%) 216 (10.1%) 212 (9.9%)
Skilled non-manual 100 (9.2%) 87 (7.9%) 120 (10.8%)
Skilled manual or lower 78 (13.1%) 61 (10.2%) 93 (15.3%)
P 0.001 0.172 < 0.001
Home over-crowding <= 1 person/room 437 (9.4%) 432 (9.3%) 454 (9.6%)
> 1 person/room 26 (14.6%) 28 (15.7%) 44 (24.4%)
P 0.020 0.004 < 0.001

Table shows chi-square tests of association between demographic measures and each binary indicator of problematic substance use.

: O-levels were an examination taken around the age of 16 years at the end of compulsory schooling. They have been replaced by GCSE’s.