Search

Background and Aims If socio-economic disadvantage is associated with more adolescent smoking, but less participation in tertiary education, and smoking and tertiary education are both associated with heavier drinking, these may represent opposing pathways to heavy drinking. This paper examines contextual variation in the magnitude and direction of these associations. Design Comparing cohort studies. Setting United Kingdom. Participants Participants were from the 1958 National Child Development Study (NCDS58; n = 15 672), the British birth cohort study (BCS70; n = 12 735) and the West of Scotland Twenty-07 1970s cohort (T07; n = 1515). Measurements Participants self-reported daily smoking and weekly drinking in adolescence (age 16 years) and heavy drinking (> 14/21 units in past week) in early adulthood (ages 22-26 years). Parental occupational class (manual versus non-manual) indicated socio-economic background. Education beyond age 18 was coded as tertiary. Models were adjusted for parental smoking and drinking, family structure and adolescent psychiatric distress. Findings Respondents from a manual class were more likely to smoke and less likely to enter tertiary education (e.g. in NCDS58, probit coefficients were 0.201 and -0.765, respectively; P < 0.001 for both) than respondents from a non-manual class. Adolescent smokers were more likely to drink weekly in adolescence (0.346; P < 0.001) and more likely to drink heavily in early adulthood (0.178; P < 0.001) than adolescent non-smokers. Respondents who participated in tertiary education were more likely to drink heavily in early adulthood (0.110 for males, 0.182 for females; P < 0.001 for both) than respondents with no tertiary education. With some variation in magnitude, these associations were consistent across all three cohorts. Conclusions In Britain, young adults are more likely to drink heavily both if they smoke and participate in tertiary education (college and university) despite socio-economic background being associated in opposite directions with these risk factors. [ABSTRACT FROM AUTHOR]

This paper describes three important strands in the career of Griffith Edwards that define him as a leader and an innovator. Believing that education and science were critical for the development of addiction as a profession and as a field of inquiry, his approach was multi-faceted: educating all doctors to appreciate the fundamental issues in addiction; training psychiatrists in the complexity of 'dual diagnosis' and specific specialist intervention; and teaching that addiction could be a chronic condition which required care management over the life course. These three inter-related areas are directly related to the need for a range of practitioners to have an understanding of addiction so that patients can be properly managed. The greater our understanding of the nature of addiction behaviour, the more likely the potential to optimize treatment and train practitioners from different professional disciplines. [ABSTRACT FROM AUTHOR]

Aim: To estimate whether large macroeconomic fluctuations in the 2000s affected inequalities in alcohol‐related mortality in the Baltic countries and Finland. Design Longitudinal register‐based follow‐up study. Setting: Estonia, Latvia, Lithuania and Finland. Participants: General population in the 35–74 age group. Measurements Socioeconomic status was measured by the highest achieved educational level and was categorised using the International Standard Classification of Education 2011 as low (included categories 0–2), middle (3–4), and high (5–8). Educational inequalities in alcohol‐related mortality in 2000–2003, 2004–2007, 2008–2011 and 2012–2015 were examined using census‐linked longitudinal mortality data. We estimated age‐standardised mortality rates and the relative and slope index of inequality. Findings Alcohol‐related mortality increased in all countries in 2004–2007 except among Estonian women and decreased/remained the same from 2008 onward except among Latvian men. By 2012–2015 alcohol‐related mortality was still higher than in 2000–2003 in Finland, Latvia and Lithuania (women only). Relative inequalities increased across the study period in all countries (significantly in Lithuania and Latvia). The 2004–2007 increase in relative inequalities was mostly driven by a larger mortality increase among the low educated, whereas in 2008–2011 and in 2012–2015 inequalities often increased because of a larger relative mortality decline among the high educated. However, these period changes in relative inequalities and between educational groups were often not statistically significant. Absolute inequalities were larger in 2012–2015 versus 2000–2003 in all countries except Estonia (decrease). Conclusion: In the Baltic countries and Finland, alcohol‐related mortality tended to increase faster among the low educated during a period of economic expansion (2004–2007) and decrease more among the high educated during a period of economic recession (2008–2011). [ABSTRACT FROM AUTHOR]

Background and aims: Mortality from alcohol‐attributable causes is patterned by income. We study the income trajectories 17–19 years prior to death in order to determine: (1) whether income levels and trajectories differ between those who die of alcohol‐attributable causes, survivors with similar socio‐demographic characteristics, all survivors and those dying of other causes; (2) whether the income trajectories of these groups differ by education; and (3) whether there are differences in income trajectories between Finland and Sweden—two countries with differing levels of alcohol‐attributable mortality but similar welfare‐provision systems. Design Retrospective cohort study using individual‐level longitudinal register data including information on income, cause of death and socio‐economic status. Setting: Finland and Sweden. Participants: The subjects comprised an 11% sample of the Finnish population in 2006–07 and the total population of Sweden aged 45–64 years in 2007–08. Measurements Median household income trajectories by educational group were calculated by cause of death and population alive during the respective years. Additionally, propensity score matching was used to match the surviving population to those dying from alcohol‐attributable causes with regard to socio‐demographic characteristics. Findings The median income 17–19 years prior to death from alcohol‐attributable causes was 92% (Finland) and 91% (Sweden) of survivor income: 1 year prior to death, the respective figures were 47% and 57%. The trajectories differed substantially. Those dying of alcohol‐attributable causes had lower and decreasing incomes for substantially longer periods than survivors and people dying from other causes. These differences were more modest among the highly educated individuals. The baseline socio‐demographic characteristics of those dying of alcohol causes did not explain the different trajectories. Conclusions: In Finland and Sweden, income appears to decline substantially before alcohol‐attributable death. Highly educated individuals may be able to buffer the negative effects of extensive alcohol use on their income level. Income trajectories are similar in Finland and Sweden, despite marked differences in the level of alcohol‐attributable mortality. [ABSTRACT FROM AUTHOR]

Abstract: Aim: To test if the degree of change in cannabis use between 2001 and 2013 differed according to socio‐economic status. Design: Repeated cross‐sectional household surveys that were nationally representative. Setting: Australia. Participants: Adult samples from the 2001 and 2013 National Drug Strategy Household Surveys (n = 23 642 in 2001 and n = 21 353 in 2013), the largest nationally representative survey on drug use in Australia. Measurements: Frequency of cannabis use coded as daily use, weekly use, less than weekly use and non‐current use; socio‐economic status (SES) as measured by personal income and educational level. Finding: There were significant differences in changes to levels of cannabis use between SES groups. Among participants who completed high school, the probability of daily use decreased from 0.014 to 0.009 (P < 0.001), and the probability of weekly use decreased from 0.025 to 0.017 (P < 0.001). These probabilities remained stable for participants who did not complete high school. The probability of weekly cannabis use decreased from 0.032 to 0.023 among participants with middle level income (P = 0.004), and from 0.021 to 0.013 among those with high income (P = 0.005). There were no significant changes in these probabilities among those with low income (0.026 in 2001 and 0.032 in 2013; P = 0.203). Conclusion: The decline in cannabis use in Australia from 2001 to 2013 occurred largely among higher socio‐economic status groups. For people with lower income and/or lower education, rates of frequent cannabis use remained unchanged. [ABSTRACT FROM AUTHOR]

Aims To examine associations between cannabis use in adolescence (at age 18) and unemployment and social welfare assistance in adulthood (at age 40) among Swedish men. Design Longitudinal cohort study. Setting and Participants A total of 49 321 Swedish men born in 1949-51, who were conscripted to compulsory military service at 18-20 years of age. Measurements All men answered two detailed questionnaires at conscription and were subject to examinations of physical aptitude psychological functioning and medical status. By follow-up in national databases, information on unemployment and social welfare assistance was obtained. Findings Individuals who used cannabis at high levels in adolescence had increased risk of future unemployment and of receiving social welfare assistance. Adjusted for all confounders (social background, psychological functioning, health behaviours, educational level, psychiatric diagnoses), an increased relative risk (RR) of unemployment remained in the group reporting cannabis use > 50 times [RR = 1.26, 95% confidence interval (CI) = 1.04-1.53] only. For social welfare assistance, RR in the group reporting cannabis use 1-10 times was 1.15 (95% CI = 1.06-1.26), RR for 11-50 times was 1.21 (95% CI = 1.04-1.42) and RR for > 50 times was 1.38 (95% CI = 1.19-1.62). Conclusions Heavy cannabis use among Swedish men in late adolescence appears to be associated with unemployment and being in need of social welfare assistance in adulthood. These associations are not explained fully by other health-related, social or behavioural problems. [ABSTRACT FROM AUTHOR]

Aims To investigate the relationship between cannabis and tobacco use by age 15 and subsequent educational outcomes. Design Birth cohort study. Setting England. Participants The sample was drawn from the Avon Longitudinal Study of Parents and Children; a core sample of 1155 individuals had complete information on all the variables. Measurements The main exposures were cannabis and tobacco use at age 15 assessed in clinic by computer-assisted questionnaire and serum cotinine. The main outcomes were performance in standardized assessments at 16 [Key Stage 4, General Certificate of Secondary Education (GCSE)] in English and mathematics (mean scores), completion of five or more assessments at grade C level or higher and leaving school having achieved no qualifications. Analyses were sequentially adjusted for multiple covariates using a hierarchical approach. Covariates considered were: maternal substance use (ever tobacco or cannabis use, alcohol use above recommended limits); life course socio-economic position (family occupational class, maternal education, family income); child sex; month and year of birth; child educational attainment prior to age 11 (Key Stage 2); child substance use (tobacco, alcohol and cannabis) prior to age 15 and child conduct disorder. Findings In fully adjusted models both cannabis and tobacco use at age 15 were associated with subsequent adverse educational outcomes. In general, the dose-response effect seen was consistent across all educational outcomes assessed. Weekly cannabis use was associated negatively with English GCSE results [grade point difference (GPD), -5.93, 95% confidence interval (CI) = -8.34, -3.53] and with mathematics GCSE results (GPD, -6.91, 95% CI = -9.92, -3.89). Daily tobacco smoking was associated negatively with English GCSE (GPD, -11.90, 95% CI = -13.47, -10.33) and with mathematics GCSE (GPD, -16.72, 95% CI = -18.57, -14.86). The greatest attenuation of these effects was seen on adjustment for other substance use and conduct disorder. Following adjustment, tobacco appeared to have a consistently stronger effect than cannabis. Conclusions Both cannabis and tobacco use in adolescence are associated strongly with subsequent adverse educational outcomes. Given the non-specific patterns of association seen and the attenuation of estimates on adjustment, it is possible that these effects arise through non-causal mechanisms, although a causal explanation cannot be discounted. © 2015 Society for the Study of Addiction [ABSTRACT FROM AUTHOR]

Aims To estimate the association between educational status and alcohol-related somatic and non-somatic morbidity and mortality among full siblings in comparison with non-related individuals. Design Cohort study. Setting Denmark. Participants Approximately 1.4 million full siblings born in Denmark between 1950 and 1979 were followed from age 28-58 years or censoring due to alcohol-related hospitalization and mortality. Measurements Cox regression analyses were used to estimate associations of educational status with alcohol-related outcomes. Results from cohort analyses based on non-related individuals and inter-sibling analyses were compared. Findings A lower educational status was associated with a higher rate of alcohol-related outcomes, especially among the youngest (aged 28-37 years) and individuals born 1970-79. Compared with the cohort analyses, the associations attenuated slightly in the inter-sibling analysis. For example, in the cohort analysis, females with a basic school education born 1970-79 had an increased rate of alcohol-related non-somatic morbidity and mortality [hazard rate ratio (HR) = 4.05, 95% confidence interval (CI) = 3.27-5.02] compared to those with a vocational education. In the inter-sibling analysis, the HR attenuated (HR = 2.66, 95% CI = 1.95-3.63). For alcohol-related somatic outcomes the corresponding figures were HR = 3.47 (95% CI = 2.63-4.58) and HR = 3.36 (95% CI = 2.10-5.38), respectively. In general, the associations were stronger among females than males (aged 28-37) in the analyses of alcohol-related non-somatic outcomes. Health conditions earlier in life explained only a minor part of the associations. Conclusions The association between educational status and alcohol-related somatic and non-somatic morbidity and mortality is only driven by familial factors to a small degree. [ABSTRACT FROM AUTHOR]