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Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data  Dr Srinivasa Vittal Katikireddi, FFPH, Elise.

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Presentation on theme: "Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data  Dr Srinivasa Vittal Katikireddi, FFPH, Elise."— Presentation transcript:

1 Socioeconomic status as an effect modifier of alcohol consumption and harm: analysis of linked cohort data  Dr Srinivasa Vittal Katikireddi, FFPH, Elise Whitley, PhD, Jim Lewsey, PhD, Linsay Gray, PhD, Prof Alastair H Leyland, PhD  The Lancet Public Health  Volume 2, Issue 6, Pages e267-e276 (June 2017) DOI: /S (17) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

2 Figure 1 Risks of alcohol-attributable harms by alcohol consumption and socioeconomic status Adjusted for age, sex, study wave, smoking, body-mass index, and binge drinking in the past week. SES=socioeconomic status. The Lancet Public Health 2017 2, e267-e276DOI: ( /S (17) ) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

3 Figure 2 Predicted probability of an alcohol-attributable event during follow-up, stratified by socioeconomic status All models were adjusted for age, sex, study wave, smoking, body-mass index, and binge drinking in the past week. The lines represent the predicted probability of experiencing an alcohol-attributable event (estimated from logistic regression models) and the shading denotes the 95% CI. (A) Deprivation was categorised according to the most deprived two quintiles vs the least deprived three quintiles. (B) Social class categorisation was based on manual vs non-manual occupations. (C) Education was categorised according to attainment of none, other school, or Scottish standard grade qualifications vs Scottish higher grade, higher national certificate, higher national diploma, or degree or above. (D) Household income was categorised by the lowest two quintiles vs highest three quintiles. Follow-up for household income measures was shorter because participants were not asked about this information in the first two study waves of data collection. The Lancet Public Health 2017 2, e267-e276DOI: ( /S (17) ) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions


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