Emma Beard1, Jamie Brown1, Sarah E Jackson1, Robert West1, Loren Kock1, Sadie Boniface2,3, Lion Shahab1. 1. Research Department of Behavioural Science and Health, University College London, London. 2. Institute of Alcohol Studies, London. 3. Addictions Department, Institute of Psychiatry Psychology & Neuroscience, Kings College London, London.
Abstract
OBJECTIVE: To gain a better understanding of the complex and independent associations between different measures of socio-economic position (SEP) and smoking in England. METHODS: Between March 2013 and January 2019 data were collected from 120,496 adults aged 16+ in England taking part in the Smoking Toolkit Study. Of these, 18.04% (n=21,720) were current smokers. Six indicators of SEP were measured: social-grade, employment status, educational qualifications, home and car ownership and income. Models were constructed using ridge regression to assess the contribution of each measure of SEP, taking account of high collinearity. RESULTS: The strongest predictor of smoking status was housing tenure. Those who did not own their own home had twice the odds of smoking compared with homeowners (OR=2.01). Social grade, educational qualification and income were also good predictors. Those in social grades C1 (OR=1.04), C2 (OR=1.29), D (OR=1.39) and E (OR=1.78) had higher odds of smoking than those in social grade AB. Similarly, those with A-level/equivalent (OR=1.15), GCSE/vocational (OR=1.48), other/still studying (OR=1.12) and no post-16 qualifications (OR=1.48) had higher odds of smoking than those with university qualifications, as did those who earned in the lowest (OR=1.23), third (OR=1.18) and second quartiles (OR=1.08) compared with those earning in the highest. Associations between smoking and employment (OR=1.03) and car ownership (OR=1.05) were much smaller. CONCLUSION: Of a variety of socio-economic measures, housing tenure appears to be the strongest independent predictor of smoking in England, followed by social grade, educational qualifications and income. Employment status and car ownership have the lowest predictive power.
OBJECTIVE: To gain a better understanding of the complex and independent associations between different measures of socio-economic position (SEP) and smoking in England. METHODS: Between March 2013 and January 2019 data were collected from 120,496 adults aged 16+ in England taking part in the Smoking Toolkit Study. Of these, 18.04% (n=21,720) were current smokers. Six indicators of SEP were measured: social-grade, employment status, educational qualifications, home and car ownership and income. Models were constructed using ridge regression to assess the contribution of each measure of SEP, taking account of high collinearity. RESULTS: The strongest predictor of smoking status was housing tenure. Those who did not own their own home had twice the odds of smoking compared with homeowners (OR=2.01). Social grade, educational qualification and income were also good predictors. Those in social grades C1 (OR=1.04), C2 (OR=1.29), D (OR=1.39) and E (OR=1.78) had higher odds of smoking than those in social grade AB. Similarly, those with A-level/equivalent (OR=1.15), GCSE/vocational (OR=1.48), other/still studying (OR=1.12) and no post-16 qualifications (OR=1.48) had higher odds of smoking than those with university qualifications, as did those who earned in the lowest (OR=1.23), third (OR=1.18) and second quartiles (OR=1.08) compared with those earning in the highest. Associations between smoking and employment (OR=1.03) and car ownership (OR=1.05) were much smaller. CONCLUSION: Of a variety of socio-economic measures, housing tenure appears to be the strongest independent predictor of smoking in England, followed by social grade, educational qualifications and income. Employment status and car ownership have the lowest predictive power.
Authors: Emma Beard; Jamie Brown; Sarah Jackson; Robert West; Will Anderson; Deborah Arnott; Lion Shahab Journal: BMC Med Date: 2020-04-08 Impact factor: 8.775