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Background: Low‐Risk Alcohol Drinking Guidelines (LRDGs) aim to reduce the harms caused by alcohol. However, considerable discrepancies exist in the 'low‐risk' thresholds employed by different countries. Argument/analysis: Drawing upon Canada's LRDGs update process, the current paper offers the following propositions for debate regarding the establishment of 'low‐risk' thresholds in national guidelines: (1) as an indicator of health loss, years of life lost (YLL) has several advantages that could make it more suitable for setting guidelines than deaths, premature deaths or disability adjusted years of life (DALYs) lost. (2) Presenting age‐specific guidelines may not be the most appropriate way of providing LRDGs. (3) Given past overemphasis on the so‐called protective effects of alcohol on health, presenting cause‐specific guidelines may not be appropriate compared with a 'whole health' effect derived from a weighted composite risk function comprising conditions that are causally related to alcohol consumption. (4) To help people reduce their alcohol use, presenting different risk zones associated with alcohol consumption instead of a single low risk threshold may be advantageous. Conclusions: National LRDGs should be based on years of life lost and should be neither age‐specific nor cause‐specific. We recommend using risk zones rather than a single drinking threshold to help people assess their own risk and encourage the adoption of behaviours with positive health impacts across the alcohol use spectrum. [ABSTRACT FROM AUTHOR]

Background and aims: Several reports have documented risk factors for opioid use following treatment discharge, yet few have assessed sex differences, and no study has assessed risk using contemporary machine learning approaches. The goal of the present paper was to inform treatments for opioid use disorder (OUD) by exploring individual factors for each sex that are most strongly associated with opioid use following treatment. Design Secondary analysis of Global Appraisal of Individual Needs (GAIN) database with follow‐ups at 3, 6 and 12 months post‐OUD treatment discharge, exploring demographic, psychological and behavioral variables that predict post‐treatment opioid use. Setting One hundred and thity‐seven treatment sites across the United States. Participants: Adolescents (26.9%), young adults (40.8%) and adults (32.3%) in treatment for OUD. The sample (n = 1,126) was 54.9% male, 66.1% white, 20% Hispanic, 9.8% multi‐race/ethnicity, 2.8% African American and 1.3% other. Measurement Primary outcome was latency to opioid use over 1 year following treatment admission. Results: For women, regularized Cox regression indicated that greater withdrawal symptoms [hazard ratio (HR) = 1.31], younger age (HR = 0.88), prior substance use disorder (SUD) treatment (HR = 1.11) and treatment resistance (HR = 1.11) presented the largest hazard for post‐treatment opioid use, while a random survival forest identified and ranked substance use problems [variable importance (VI) = 0.007], criminal justice involvement (VI = 0.006), younger age (VI = 0.005) and greater withdrawal symptoms (VI = 0.004) as the greatest risk factors. For men, Cox regression indicated greater conduct disorder symptoms (HR = 1.34), younger age (HR = 0.76) and multiple SUDs (HR = 1.27) were most strongly associated with post‐treatment opioid use, while a random survival forests ranked younger age (VI = 0.023), greater conduct disorder symptoms (VI = 0.010), having multiple substance use disorders (VI = 0.010) and criminal justice involvement (VI = 0.006) as the greatest risk factors. Conclusion: Risk factors for relapse to opioid use following opioid use disorder treatment appear to be, for women, greater substance use problems and withdrawal symptoms and, for men, younger age and histories of conduct disorder and multiple substance use disorder. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim Prevention of drinking initiation is a significant challenge in low- and middle-income countries that have a high prevalence of abstainers, including life-time abstainers. This paper aims to encourage a debate on an alternative alcohol taxation approach used currently in Thailand, which aims specifically to prevent drinking initiation in addition to reduce alcohol-attributable harms. Methods Theoretical evaluation, simulation and empirical analysis. Result The taxation method of Thailand, 'Two-Chosen-One' (2C1) combines specific taxation (as a function of the alcohol content) and ad valorem taxation (as a function of the price), resulting in an effective tax rate that puts a higher tax both on beverages which are preferred by heavy drinkers and on beverages which are preferred by potential alcohol consumption neophytes, compared to either taxation system alone. As a result of these unique properties of the 2C1 taxation system, our simulations indicate that 2C1 taxation leads to a lower overall consumption than ad valorem or specific taxation alone. In addition, it puts a relatively high tax on beverages attractive to young people, the majority of whom are currently abstaining. Currently, the abstention rates in Thailand are higher than expected based on its economic wealth, which could be taken as an indication that the taxation strategy is successful. Conclusion 'Two-chosen-one' (2C1) taxation has the potential to simultaneously reduce alcohol consumption and prevent drinking initiation among youth; however, additional empirical evidence is needed to assess its effectiveness in terms of the public health impact in low- and middle-income countries. [ABSTRACT FROM AUTHOR]

Background and Aims: There have been few systematic attempts to examine how alcohol-related mortality has changed in Australia, and no studies that have explored cohort effects in alcohol-related mortality. This study uses more than 50 years of data to measure age, period and cohort trends in alcohol-related liver disease (ALD) mortality. Design, Setting and Cases: This was a retrospective age--period--cohort analysis of total Australian ALD mortality data from 1968 to 2020 in Australia. There was a total of 35 822 deaths--27 208 men (76%) and 8614 women (24%). Measurements: Deaths from ALD were grouped into 5-year age groups and periods (e.g. deaths for 20-24-year-olds between 1968 and 1972 were combined). Findings: ALD mortality peaked in the late 1970s and early 1980s for both men and women. In age--period--cohort models, mortality was highest for cohorts born 1915-30. For example, men born between 1923 and 1927 had a relative risk of 1.58 [95% confidence interval (CI) = 1.52, 1.64] compared with men born between 1948 and 1952. For women, there was an increase in risk for cohorts born in the 1960s [e.g. the 1963-67 cohort had a relative risk (RR) of 1.16 (95% CI = 1.07, 1.25) compared with women born in 1948-52]. For men, there was a broad decline in mortality over time [e.g. in 2020, the RR was 0.87 (95% CI = 0.82, 0.92) compared with the reference year of 2000]. For women, mortality declined until 2000 and has been stable since. Conclusions: Alcohol-related liver disease mortality has declined across the Australian population since the 1970s and 1980s partly due to cohort-specific shifts as the highest-risk birth cohorts age. For women, this decline had stalled by the year 2000, and cohorts of women born during the 1960s were at higher risk than earlier cohorts, suggesting the need for thoughtful interventions as this population enters its highest-risk years for ALD mortality. [ABSTRACT FROM AUTHOR]

Aims: To estimate the prevalence of, and number of unobserved people with opioid dependence by sex and age group in New South Wales (NSW), Australia. Design: We applied a Bayesian statistical modelling approach to opioid agonist treatment records linked to adverse event rate data. We estimated prevalence from three types of adverse event separately: opioid mortality, opioid‐poisoning hospitalizations and opioid‐related charges. We extended the model and produced prevalence estimates from a 'multi‐source' model based on all three types of adverse event data. Setting, Participants and Measurements: This study was conducted in NSW, Australia, 2014–16 using data from the Opioid Agonist Treatment and Safety (OATS) study, which included all people who had received treatment for opioid dependence in NSW. Aggregate data were obtained on numbers of adverse events in NSW. Rates of each adverse event type within the OATS cohort were modelled. Population data were provided by State and Commonwealth agencies. Findings Prevalence of opioid dependence among those aged 15–64 years in 2016 was estimated to be 0.96% (95% credible interval [CrI] = 0.82%, 1.12%) from the mortality model, 0.75% (95% CrI = 0.70%, 0.83%) from hospitalizations, 0.95% (95% CrI = 0.90%, 0.99%) from charges and 0.92% (95% CrI = 0.88%, 0.96%) from the multi‐source model. Of the estimated 46 460 (95% CrI = 44 680, 48 410) people with opioid dependence in 2016 from the multi‐source model, approximately one‐third (16 750, 95% CrI = 14 960, 18 690) had no record of opioid agonist treatment within the last 4 years. From the multi‐source model, prevalence in 2016 was estimated to be 1.24% (95% CrI = 1.18%, 1.31%) in men aged 15–44, 1.22% (95% CrI = 1.14%, 1.31%) in men 45–64, 0.63% (95% CrI = 0.59%, 0.68%) in women aged 15–44 and 0.56% (95% CrI = 0.50%, 0.63%) in women aged 45–64. Conclusions: A Bayesian statistical approach to estimate prevalence from multiple adverse event types simultaneously calculates that the estimated prevalence of opioid dependence in NSW, Australia in 2016 was 0.92%, higher than previous estimates. [ABSTRACT FROM AUTHOR]

Background and Aims: Alcohol use is increasing among women in mid‐life concurrently with societal changes in timing of parenthood and changing cultural norms, which may influence alcohol use. The aim of this study was to determine if age of first parenting was associated with excessive drinking [i.e. past 2‐week binge drinking and past 5‐year alcohol use disorder (AUD) symptoms] among women during mid‐life in the United States and to determine if there were pronounced cohort effects influencing these relationships. Design: This was a retrospective cohort, longitudinal study. Setting, Participants and Measurements: Data were drawn from the Monitoring the Future survey, an annual ongoing survey of high school students' substance use behaviors in the United States. Participants were women who completed the age 35 survey between 1993 and 2019, corresponding to high school senior years 1976–2002 (n = 9988). Past 2‐week binge drinking and past 5‐year AUD symptoms were self‐reported. Age of first parenting was self‐reported. Findings Binge drinking and AUD symptoms were higher among women in recent than in older cohorts. Women from the 2018–19 cohort had increased odds of binge drinking [odds ratio (OR) = 1.73, 95% confidence interval (CI) = 1.41–2.12] and AUD symptoms (OR = 1.51, CI = 1.27–1.80) relative to women from the 1993–97 cohort. Throughout cohorts, there was an inverse association between transition to parenthood and excessive drinking outcomes (e.g. range for ORs for binge drinking among those without children compared with those who had had children between the ages of 18 and 24: 1.22–1.55). Simultaneously, there was a population shift towards delaying parenting in recent cohorts (i.e. 54% of women in the 1993–97 cohort had children before age 30 compared with 39% in the two recent cohorts), increasing the size of the group at highest risk for excessive drinking. Conclusions: In the United States, subgroups of women at highest risk of excessive drinking appear to be expanding, probably supported in part by a trend towards delayed parenting. [ABSTRACT FROM AUTHOR]

Background and aims: Alcohol's harm to others (AHTO) has become a key driver of national and international alcohol policy. This study aimed to produce a contemporary, comprehensive estimate of the correlates and harms from others' drinking in 2021 in Australia. Design, setting, participants and measurements: Across Australia, 2574 adults (1380 women; 1172 men) were sampled via two cross‐sectional survey modes: a random‐digit dial mobile phone sample of 1000 people and 1574 people from the Life in Australia™ panel survey. In 2021 participants were asked about harms they had experienced from the drinking of family, friends, co‐workers and the public in the past year. Applying combined sample weights from each mode, bivariable and adjusted multivariable logistic regressions were used to analyse differences in rates of AHTO by participant gender, age, residence in rural or metropolitan regions, country of birth, education and employment. Findings: In 2021, 23.6% reported being negatively affected by strangers' drinking and 21.3% by the drinking of someone they knew, with 34.3% reporting being negatively affected a lot or a little by either; 42.4% of respondents reported specific harms from strangers' drinking. Thus, 48.1% of respondents reported any harm (negative effects or specific harms) from others' drinking. Women, younger people, Australian‐born and heavier episodic drinkers reported significantly higher rates of AHTO compared with other respondents. Smaller percentages (7.5%) of participants reported being harmed substantially by others' drinking, including by people they knew (5.8%) or strangers (2.3%). Stratified analyses showed that heavier drinking, furloughed, younger men who were born overseas in English‐speaking countries were affected by others' drinking, whereas women were affected regardless of these factors (apart from age). Conclusions: More than one‐third of Australian adults appear to have been negatively affected by others' drinking in 2021, with women, younger people and heavier drinkers at greater risk. Substantial harm appears to be more likely to arise from the drinking of people Australians know than from strangers' drinking. [ABSTRACT FROM AUTHOR]

Background and Aims: Heated tobacco products (HTPs) are electronic devices that heat process tobacco to release an aerosol containing nicotine and other chemicals. Limited data exist on world‐wide HTP use prevalence. This meta‐analytic review estimated the prevalence of HTP use by country, World Health Organization (WHO) region, year, sex/gender and age. Methods: Five databases (Web of Science, Scopus, Embase, PubMed and PsycINFO) were searched between January 2015 and May 2022. Included studies reported the prevalence of HTP use in nationally representative samples post‐modern HTP device market entry (2015). A random‐effects meta‐analysis was used to estimate overall prevalence for life‐time, current and daily HTP use. Results: Forty‐five studies (n = 1 096 076) from 42 countries/areas from the European Region (EUR), Western Pacific Region (WPR), Region of the Americas (AMR) and African Region (AFR) met inclusion criteria. Estimated pooled prevalence for life‐time, current and daily HTP use was 4.87% [95% confidence interval (CI) = 4.16, 5.63], 1.53% (95% CI = 1.22, 1.87) and 0.79% (95% CI = 0.48, 1.18), respectively, across all years (2015–22). Life‐time HTP use prevalence significantly increased by 3.39% for WPR [0.52% (95% CI = 0.25, 0.88) in 2015 to 3.91% (95% CI = 2.30, 5.92) in 2019] and 5.58% for EUR [1.13% (95% CI = 0.59, 1.97) in 2016 to 6.98% (95% CI = 5.69, 8.39) in 2020]. Current HTP use increased by 10.45% for WPR [0.12% (95% CI = 0, 0.37) in 2015 to 10.57% (95% CI = 5.59, 16.88) in 2020] and 1.15% for EUR [0% (95% CI = 0, 0.35) in 2016 to 1.15% (95% CI = 0.87, 1.47) in 2020]. Meta‐regression revealed higher current HTP use in WPR [3.80% (95% CI = 2.88, 4.98)] compared with EUR [1.40% (95% CI = 1.09, 1.74)] and AMR [0.81% (95% CI = 0.46, 1.26)] and for males [3.45% (95% CI = 2.56, 4.47)] compared with females [1.82% (95% CI = 1.39, 2.29)]. Adolescents had higher life‐time HTP use prevalence [5.25% (95% CI = 4.36, 6.21) than adults [2.45% (95% CI = 0.79, 4.97)]. Most studies scored a low risk of sampling bias due to their nationally representative sampling. Conclusion: The prevalence of HTPs use increased in the EUR and WPR between 2015 and 2020, with nearly 5% of the included populations having ever tried HTP and 1.5% identifying as current users during the study period. [ABSTRACT FROM AUTHOR]

Background and Aims: The increasing trend in alcohol consumption among women, exacerbated by the COVID‐19 pandemic, is of growing concern. Screening, brief intervention, and referral to treatment in primary care is an efficacious and cost‐effective treatment approach for unhealthy alcohol use. However, disparities exist in delivery of brief interventions by sex, age and race/ethnicity. This study measures brief intervention rates among eligible patients by sex, age and race/ethnicity and their intersectionality, in the context of a program of systematic alcohol screening and brief intervention program in adult primary care in a large, integrated health‐care delivery system. Design, Setting and Participants: This was a population‐based observational study among primary care clinics in an integrated health‐care delivery system in Northern California, USA. The participants comprised adult (18+) patients (n = 287 551) screening positive for unhealthy alcohol use between January 2014 and December 2017. Measurements: Receipt of brief intervention, patient and provider characteristics from electronic health records. Findings Multi‐level logistic regression showed that women had lower odds of receiving brief intervention than men among all age, racial/ethnic groups and drinking levels. Sex differences were greater among those aged 35–49 years [odds ratio (OR) = 0.67, 95% confidence interval (CI) = 0.64, 0.69]) and 50–65 years (OR = 0.69, 95% CI =0.66, 0.72) than among other age groups. Sex differences in odds of receiving brief intervention were greater for the Latino/Hispanic group for women versus men (OR = 0.69, 95% CI = 0.66, 0.72) and smaller for the Asian/Pacific Islander group (OR = 0.76, 95% CI = 0.72, 0.81). Conclusion: In the United States, compared with men, women appear to have lower odds of receiving brief intervention for unhealthy alcohol use across all age groups, particularly during middle age. Black women and Latina/Hispanic women appear to be less likely to receive brief intervention than women in other race/ethnicity groups. Receipt of brief intervention does not appear to differ by drinking levels between men and women. [ABSTRACT FROM AUTHOR]

Aims: Likelihood of alcohol dependence (AD) is increased among people who transition to greater levels of alcohol involvement at a younger age. Indicated interventions delivered early may be effective in reducing risk, but could be costly. One way to increase cost‐effectiveness would be to develop a prediction model that targeted interventions to the subset of youth with early alcohol use who are at highest risk of subsequent AD. Design: A prediction model was developed for DSM‐IV AD onset by age 25 years using an ensemble machine‐learning algorithm known as 'Super Learner'. Shapley additive explanations (SHAP) assessed variable importance. Setting and Participants: Respondents reporting early onset of regular alcohol use (i.e. by 17 years of age) who were aged 25 years or older at interview from 14 representative community surveys conducted in 13 countries as part of WHO's World Mental Health Surveys. Measurements The primary outcome to be predicted was onset of life‐time DSM‐IV AD by age 25 as measured using the Composite International Diagnostic Interview, a fully structured diagnostic interview. Findings AD prevalence by age 25 was 5.1% among the 10 687 individuals who reported drinking alcohol regularly by age 17. The prediction model achieved an external area under the curve [0.78; 95% confidence interval (CI) = 0.74–0.81] higher than any individual candidate risk model (0.73–0.77) and an area under the precision‐recall curve of 0.22. Overall calibration was good [integrated calibration index (ICI) = 1.05%]; however, miscalibration was observed at the extreme ends of the distribution of predicted probabilities. Interventions provided to the 20% of people with highest risk would identify 49% of AD cases and require treating four people without AD to reach one with AD. Important predictors of increased risk included younger onset of alcohol use, males, higher cohort alcohol use and more mental disorders. Conclusions: A risk algorithm can be created using data collected at the onset of regular alcohol use to target youth at highest risk of alcohol dependence by early adulthood. Important considerations remain for advancing the development and practical implementation of such models. [ABSTRACT FROM AUTHOR]

Aims: The aim of this study is to examine age, period and birth cohort trends in the prevalence of any alcohol‐related risky behaviour and to compare these trends between men and women. Design and setting: We used an age–period–cohort analysis of repeated cross‐sectional survey data from the Australian National Drug Strategy Household Survey from 2001 to 2016. Participants: Participants were 121 281 people aged 14–80 years who reported consuming alcohol in the past 12 months. Measurements: Any risky behaviour undertaken while under the influence of alcohol in the past 12 months (e.g. operating a motor vehicle) was measured: male or female. Findings Controlling for age and cohort, cubic spline models showed that any alcohol‐related risky behaviour declined with time among participants who consumed alcohol [2016 versus 2007 rate ratio (RR) = 0.80, 95% confidence interval (CI) = 0.76–0.84]. Risky behaviour peaked in the 1954 birth cohort (1954 versus 1971 RR = 1.42, 95% CI = 1.30–1.55) and then steadily declined with more recent birth cohorts (2002 versus 1971 RR = 0.32, 95% CI = 0.27–0.39). Risky behaviour peaked at age 21 years, followed by steady decline and stabilization at approximately age 70 years. Males were overall twice as likely as females to report alcohol‐related risky behaviour (RR = 2.10, 95% CI = 1.84–2.39), but this effect was smaller in cohorts born after 1980 [1980 prevalence rate ratios (PRR) = 2.09, 95% CI = 1.81–2.43; 2002 PRR = 1.31, 95% CI = 1.03–1.68]. Conclusions: Alcohol‐related risky behaviour in Australia has declined generally since 2001, with rates for recent cohorts having the sharpest decline. Risky behaviour remains most prevalent in young adults, and the male–female gap in risky behaviour is closing for more recent birth cohorts. These trends are consistent with alcohol consumption trends observed in Australia and world‐wide. [ABSTRACT FROM AUTHOR]

Aims To estimate the pooled prevalence of compulsive buying behaviour (CBB) in different populations and to determine the effect of age, gender, location and screening instrument on the reported heterogeneity in estimates of CBB and whether publication bias could be identified. Methods Three databases were searched (Medline, PsychInfo, Web of Science) using the terms 'compulsive buying', 'pathological buying' and 'compulsive shopping' to estimate the pooled prevalence of CBB in different populations. Forty studies reporting 49 prevalence estimates from 16 countries were located ( n = 32 000). To conduct the meta-analysis, data from non-clinical studies regarding mean age and gender proportion, geographical study location and screening instrument used to assess CBB were extracted by multiple independent observers and evaluated using a random-effects model. Four a priori subgroups were analysed using pooled estimation (Cohen's Q) and covariate testing (moderator and meta-regression analysis). Results The CBB pooled prevalence of adult representative studies was 4.9% (3.4-6.9%, eight estimates, 10 102 participants), although estimates were higher among university students: 8.3% (5.9-11.5%, 19 estimates, 14 947 participants) in adult non-representative samples: 12.3% (7.6-19.1%, 11 estimates, 3929 participants) and in shopping-specific samples: 16.2% (8.8-27.8%, 11 estimates, 4686 participants). Being young and female were associated with increased tendency, but not location ( United States versus non- United States). Meta-regression revealed large heterogeneity within subgroups, due mainly to diverse measures and time-frames (current versus life-time) used to assess CBB. Conclusions A pooled estimate of compulsive buying behaviour in the populations studied is approximately 5%, but there is large variation between samples accounted for largely by use of different time-frames and measures. [ABSTRACT FROM AUTHOR]

A letter to the editor is presented in response to the article "Electronic Cigarette Use in the European Union: Analysis of a Representative Sample of 27 460 Europeans From 28 Countries" by K.E. Farsalinos, K. Poulas, V. Voudris, and J. Le Houezec which appears in a 2016 issue of the journal.

Aims: To (1) measure the aggregated effect size of empathy deficits in individuals with alcohol use disorder (AUD) compared with healthy controls, (2) measure the aggregated effect sizes for associations between lower empathy and heavier alcohol consumption and more alcohol problems in non‐clinical samples and (3) identify potential moderators on the variability of effect sizes across studies in these meta‐analyses. Method: PsycINFO, PubMed and Google Scholar were searched following a pre‐registered International Prospective Register of Systematic Reviews (PROSPERO) protocol (CRD42021225392) and Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) methodology. We meta‐analyzed (using random‐effects models) mean differences in empathy between individuals with AUD compared with healthy controls and associations between empathy and alcohol consumption and alcohol problems in non‐clinical samples. A total of 714 participants were included in the meta‐analysis on clinical samples; 3955 were included in the meta‐analyses on non‐clinical samples. Results: Individuals with AUD reported significantly lower empathy than healthy controls [Hedges' g = −0.53, 95% confidence interval (CI) = −0.91, –0.16, k = 9, P < 0.01, Q = 40.09, I2 = 80.04]. Study quality [Q = 1.88, degrees of freedom (d.f.) = 1, P = 0.17] and gender (β = −0.006, Z = −0.60, P = 0.55) were not moderators. Increases in age corresponded to an increase in effect size (β = 0.095, Z = 3.34, P < 0.001). Individuals with AUD (versus healthy controls) had significantly lower cognitive (Hedges' g = −0.44, CI = −0.79, –0.10, P < 0.05), but not affective empathy (Hedges' g = −0.19, CI = −0.51, 0.14, P = 0.27), and the difference between these was significant (Z = 2.34, k = 6, P < 0.01). In non‐clinical samples, individuals with lower (versus higher) empathy reported heavier alcohol consumption (r = −0.12, CI = −0.15, –0.09, k = 11, P < 0.001, Q = 9.68, I2 = 0.00) and more alcohol problems (r = −0.08, CI = −0.14, –0.01, k = 7, P = 0.021, Q = 6.55, I2 = 8.34). There was no significant heterogeneity across studies. Conclusion: Individuals with alcohol use disorder appear to show deficits in empathy compared with healthy controls. Deficits are particularly pronounced for older individuals and for cognitive (versus affective) empathy. In non‐clinical samples, lower empathy appears to be associated with heavier alcohol consumption and more alcohol problems. [ABSTRACT FROM AUTHOR]

Background and aims: Survey questions on usual quantity and frequency of alcohol consumption are regularly used in screening tools to identify drinkers requiring intervention. The aim of this study was to measure age‐based differences in quantity and frequency of alcohol consumption on the Alcohol Use Disorders Identification Test (AUDIT) and how this relates to the prediction of harmful or dependent drinking. Design: Cross‐sectional survey. Setting: Australia. Participants: Data were taken from 17 399 respondents who reported any alcohol consumption in the last year and were aged 18 and over from the 2016 National Drug Strategy Household Survey, a broadly representative cross‐sectional survey on substance use. Measurement Respondents were asked about their frequency of consumption, usual quantity per occasion and the other items of the AUDIT. Findings In older drinkers, quantity per occasion [β = 0.53, 95% confidence interval (CI) = 0.43, 0.64 in 43–47‐year‐olds as an example] was a stronger predictor of dependence than frequency per occasion (β = 0.24, 95% CI = 0.17, 0.31). In younger drinkers the reverse was true, with frequency a stronger predictor (β = 0.54, 95% CI = 0.39, 0.69 in 23–27‐year‐olds) than quantity (β = 0.26, 95% CI = 0.18, 0.34 in 23–27‐year‐olds). Frequency of consumption was not a significant predictor of dependence in respondents aged 73 years and over (β = −0.03, 95% CI = −0.08, 0.02). Similar patterns were found when predicting harmful drinking. Despite this, as frequency of consumption increased steadily with age, the question on frequency was responsible for at least 65% of AUDIT scores in drinkers aged 53 years and over. Conclusions: In younger drinkers, frequent drinking is more strongly linked to dependence and harmful drinking subscale scores on the Alcohol Use Disorders Identification Test (AUDIT) than quantity per occasion, yet quantity per occasion has a stronger influence on the overall AUDIT score in this group. In older drinkers, frequency of consumption is not always a significant predictor of the AUDIT dependence subscale and is a weak predictor of the harmful drinking subscale. [ABSTRACT FROM AUTHOR]

Background and Aims: Loot boxes are purchasable randomised rewards in video games that share structural and psychological similarities with gambling. Systematic review evidence has established reproducible associations between loot box purchasing and both problem gambling and problem video gaming. We aimed to measure the association between loot box engagement and socioeconomic correlates. Design The study was a cross‐sectional online survey using the recruitment platform, Prolific. Setting: United Kingdom (UK). Participants: A cohort of 16 196 UK adults (18 + years) self‐reporting as video gamers. Measurements Respondents were asked about their game‐related purchasing behaviour (including loot boxes), recent monthly spend on loot boxes and gambling engagement (gambling in any form; gambling online; playing 'social casino' games). A range of demographic variables were simultaneously captured, including age, sex, ethnicity, earnings, employment and educational attainment. Findings Overall, 17.16% of gamers in our cohort purchased loot boxes, with a mean self‐reported monthly spend of £29.12. These loot box purchasers are more likely to gamble (45.97% gamble) than people who make other types of game‐related purchases (on aggregate, 28.13% of non‐loot box purchasers gamble), and even greater still than those who do not make any game related purchases (24.38% gamble P < 0.001). Loot box engagement (as binary yes/no or as monthly spend normalised to earnings) was significantly associated with younger age (P < 0.001 and P < 0.001; respectively, for binary yes/no and monthly spend, adjusted for false discovery rate correction), male sex (P < 0.001 and P = 0.025), non‐university educational attainment (P < 0.001 and P < 0.001) and unemployment (P = 0.003 and P = < 0.001). Lower earners spent a higher proportion of monthly earnings on loot boxes (P < 0.001). Conclusions: The demographic associations of video game loot box engagement (younger age, male sex, non‐university educational attainment and unemployment) mirror those of other addictive and problematic behaviours, including disordered gambling, drug and alcohol misuse. [ABSTRACT FROM AUTHOR]

Background and Aims: Communication of personalised disease risk can motivate smoking cessation. We assessed whether routine implementation of this intervention by general practitioners (GPs) in England is cost‐effective or whether we need further research to better establish its effectiveness. Design Cost‐effectiveness analysis (CEA) with value of information (VoI) analysis from the UK National Health Service perspective, using GP communication of personalised disease risk on smoking cessation versus usual care. Setting: GP practices in England. Study population: Healthy smokers aged 35–60 years attending the GP practice. Measurements Effectiveness of GP communication of personalised disease risk on smoking cessation was estimated through systematic review and meta‐analysis. A Bayesian CEA was then performed using a lifetime Markov model on smokers aged 35–60 years that measured lifetime costs and quality‐adjusted life‐years (QALYs) assigned to the four diseases contributing the most to smoking‐related morbidity, mortality and costs: chronic obstructive pulmonary disease, lung cancer, myocardial infarction and stroke. Costs and QALYs for each disease state were obtained from the literature. VoI analysis identified sources of uncertainty in the CEA and assessed how much would be worth investing in further research to reduce this uncertainty. Findings The meta‐analysis odds ratio for the effectiveness estimate of GP communication of personalised disease risk was 1.48 (95% credibility interval, 0.91–2.26), an absolute increase in smoking cessation rates of 3.84%. The probability of cost‐effectiveness ranged 89–94% depending on sex and age. VoI analysis indicated that: (i) uncertainty in the effectiveness of the intervention was the driver of the overall uncertainty in the CEA; and (ii) a research investment to reduce this uncertainty is justified if lower than £27.6 million (£7 per smoker). Conclusions: Evidence to date shows that, in England, incorporating disease risk communication into general practitioners' practices to motivate smoking cessation is likely to be cost‐effective compared with usual care. [ABSTRACT FROM AUTHOR]

Background and aims: Smoking is associated with increased risk for brain aging/atrophy and dementia. Few studies have examined early associations with brain aging. This study aimed to measure whether adult men with a history of heavier smoking in early mid‐life would have older than predicted brain age 16–28 years later. Design Prospective cohort observational study, utilizing smoking pack years data from average age 40 (early mid‐life) predicting predicted brain age difference scores (PBAD) at average ages 56, 62 (later mid‐life) and 68 years (early old age). Early mid‐life alcohol use was also evaluated. Setting: Population‐based United States sample. Participants/cases: Participants were male twins of predominantly European ancestry who served in the United States military between 1965 and 1975. Structural magnetic resonance imaging (MRI) began at average age 56. Subsequent study waves included most baseline participants; attrition replacement subjects were added at later waves. Measurements Self‐reported smoking information was used to calculate pack years smoked at ages 40, 56, 62, and 68. MRIs were processed with the Brain‐Age Regression Analysis and Computation Utility software (BARACUS) program to create PBAD scores (chronological age—predicted brain age) acquired at average ages 56 (n = 493; 2002–08), 62 (n = 408; 2009–14) and 68 (n = 499; 2016–19). Findings In structural equation modeling, age 40 pack years predicted more advanced age 56 PBAD [β = −0.144, P = 0.012, 95% confidence interval (CI) = –0.257, −0.032]. Age 40 pack years did not additionally predict PBAD at later ages. Age 40 alcohol consumption, but not a smoking × alcohol interaction, predicted more advanced PBAD at age 56 (β = −0.166, P = 0.001, 95% CI = –0.261, –0.070) with additional influences at age 62 (β = −0.115, P = 0.005, 95% CI = –0.195, –0.036). Age 40 alcohol did not predict age 68 PBAD. Within‐twin‐pair analyses suggested some genetic mechanism partially underlying effects of alcohol, but not smoking, on PBAD. Conclusions: Heavier smoking and alcohol consumption by age 40 appears to predict advanced brain aging by age 56 in men. [ABSTRACT FROM AUTHOR]

Aims: To examine changes in drinking behavior among United States (US) adults between March 10 and July 21, 2020, a critical period during the COVID‐19 pandemic. Design Longitudinal, internet‐based panel survey. Setting: The Understanding America Study (UAS), a nationally representative panel of US adults age 18 or older. Participants: A total of 4298 US adults who reported alcohol use. Measurements Changes in number of reported drinking days from March 11, 2020 through July 21, 2020 in the overall sample and stratified by sex, age, race/ethnicity, household structure, poverty status, and census region. Findings Compared with March 11, the number of drinking days per week was significantly higher on April 1 by an average of 0.36 days (95% CI = 0.30, 0.43), on May 1 by an average of 0.55 days (95% CI = 0.47, 0.63), on June 1 by an average of 0.41 days (95% CI = 0.33, 0.49), and on July 1 by an average of 0.39 days (95% CI = 0.31, 0.48). Males, White participants, and older adults reported sustained increases in drinking days, whereas female participants and individuals living under the federal poverty line had attenuated drinking days in the latter part of the study period. Conclusions: Between March and mid‐July 2020, adults in the United States reported increases in the number of drinking days, with sustained increases observed among males, White participants, and older adults. [ABSTRACT FROM AUTHOR]

Aims: To identify factors asociated with early and sustained cessation of heavy drinking. Design Retrospective cohort study over 5 years. Setting: Kaiser Permanente Northern California, United States. Participants: Adults reporting heavy drinking during primary care‐based alcohol screening between 1 June 2013 and 31 May 2014. The sample (n = 85 434) was 40.7% female and 33.8% non‐white; mean age was 50.3 years (standard deviation = 18.1). Measurements: Following US guidelines, early and sustained cessation of heavy drinking was defined as reporting lower‐risk drinking or abstinence at 1 year and to 5 years after achieving early cessation, respectively. Associations between patient characteristics and service use and cessation outcomes were examined using logistic regression with inverse probability weights addressing attrition. Findings Nearly two‐thirds of participants achieved early cessation of heavy drinking. Women [odds ratio (OR) = 1.39, 95% confidence interval (CI) = 1.35, 1.44], middle‐age (35–64 years: ORs = 1.16–1.19), non‐white race/ethnicity (ORs = 1.03–1.57), medical conditions (OR = 1.05, 95% CI = 1.04, 1.06), psychiatric (OR = 1.10, 95% CI = 1.06, 1.15) and drug use disorders (OR = 1.35, 95% CI = 1.17, 1.56) and addiction treatment (OR = 1.19, 95% CI = 1.09, 1.30) were associated with higher odds of early cessation, while older age (≥ 65 years: OR = 0.91, 95% CI = 0.86, 0.96), smoking (OR = 0.81, 95% CI = 0.77, 0.84), higher index drinking levels (exceeding both daily and weekly limits: OR = 0.30, 95% CI = 0.29, 0.32) and psychiatric treatment (OR = 0.91, 95% CI = 0.84, 0.99) were associated with lower odds. Among those who achieved early cessation (n = 19 200), 60.0% sustained cessation. Associations between patient factors and sustained cessation paralleled those observed in analyses of early cessation. Additionally, routine primary care (OR = 1.57, 95% CI = 1.44, 1.71) and addiction treatment post‐1 year (OR = 1.41, 95% CI = 1.19, 1.66) were associated with higher odds of sustained cessation. Lower‐risk drinking versus abstinence at 1 year was associated with lower odds of sustained cessation (OR = 0.62, 95% CI = 0.57, 0.66). Conclusions: Nearly two‐thirds of a large, diverse sample of patients who reported heavy drinking in a Californian health‐care system achieved early and sustained cessation of heavy drinking. Vulnerable subgroups (i.e. non‐white patients and those with psychiatric disorders), patients who received routine primary care and those who received addiction treatment were more likely to sustain cessation of heavy drinking than other participants. [ABSTRACT FROM AUTHOR]

Background and Aims: Past research has found that young smokers are more likely to make quit attempts; however, there are conflicting findings regarding age and quit success. This study examined the degree to which smoker age is related to making quit attempts and quit success. Design Ten waves of the International Tobacco Control Policy Cohort survey (ITC‐4C) collected between 2002 and 2014, with nine wave‐to‐wave transitions with predictors at the first wave predicting quit attempts and success by the next wave. Setting: Canada, the United States, the United Kingdom and Australia. Participants: Data from 15 874 smokers categorized into four age groups at baseline (18–24, 25–39, 40–54 and 55+ years). Measurements Age, quit attempts and success (defined as ≥ 30 days abstinence confirmed, if possible, on a third wave for recent attempts). Findings Older smokers were more likely to smoke daily (χ2 = 1557.86, r = 0.136, P < 0.001) than younger smokers. Daily smokers were less likely to report quit attempts (38.1 versus 58.2%) and to achieve 30 days of abstinence (22.9 versus 34.3%) than non‐daily smokers. Older daily smokers were less likely to make quit attempts [0.61, confidence interval (CI) = 0.54–0.70, P < 0.001], even after controlling for indicators of nicotine dependence, country, sex, education, income, relationship status and household composition, than younger smokers. Younger smokers (< 25) were more likely to succeed for at least 30 days of abstinence, but only when compared with those aged 40–54 (OR = 0.83, 95% CI = 0.68–0.99). However, when controlling for heaviness of smoking the age effect disappeared. Significant interactions with age were found between age and intention when predicting quit attempts, and age and heaviness of smoking when predicting quit success. Conclusions: An international cohort study indicates that young smokers are more likely to attempt to quit and appear to have similar levels of success in abstaining from smoking compared with older smokers when controlling for dependence. Quit success in all ages is most predicted by lower levels of nicotine dependence. [ABSTRACT FROM AUTHOR]

Aims: To predict the effects of perfect adherence to the French alcohol consumption guidelines, a maximum of 10 standard alcoholic drinks per week with no more than two standard alcoholic drinks per day, during a 36‐year period (2014–50). Design This simulation study is an adaption of the Sheffield Alcohol Policy Model. The dose–response relationship between alcohol consumption and alcohol‐attributable cancer risks was defined by cancer site‐specific risk functions, each modelled as a continuous risk. These estimates were used to compute the potential impact fraction (PIF) associated with alcohol consumption by cancer site. Setting: The French general adult population during a 36‐year period (2014–50). Participants: For the baseline scenario, the current distribution of consumption levels, the counterfactual scenario and perfect adherence to the French alcohol consumption guidelines, we generated for each gender and age group 1000 randomly distributed alcohol consumption values from calibrated group‐specific gamma distribution. Measurements The predicted number of new cancer cases among men and women in France between 2015 and 2050 that could have been prevented by following the French government's alcohol consumption guidelines. Findings The simulation predicted that perfect adherence to the French government's alcohol consumption guidelines would prevent, on average, an estimated 15 952 cancer cases per year after the PIF reached its full effect, which would have represented 4.5% of new cancer cases in 2015. The number of averted cancer cases over the study period were highest for oral cavity, oropharynx and hypopharynx cancer (respectively, 118 462, 95% CI = 113 803–123 022 and 11 167, 95% CI = 10 149–12 229] for men and women; liver and intrahepatic bile ducts cancer (123 447, 95% CI = 112 581–133 404 and 2825, 95% CI = 2208,4095); colorectal cancer (89 859, 95% CI = 84 651–95 355 and 12 847, 95% CI = 11 545–14 245); and female breast cancer (61 649, 95% CI = 56 330–67 452). Conclusion: This simulation study of the French general population predicted that perfect adherence to the French government's alcohol consumption guidelines (no more than 10 standard alcoholic drinks per week and two per day) would prevent almost 16 000 cancer cases per year. [ABSTRACT FROM AUTHOR]

Aims: To establish the number of smokers in England who would be targeted by increasing the age of sale of cigarettes from 18 to 21 years and to assess the smoking and socio‐demographic profile of those smokers. Design and setting: Nationally representative cross‐sectional survey of adults in England conducted between January 2009 and July 2019. Participants: A total of 219 720 adults. Measurements All participants reported their current smoking status and socio‐demographic characteristics (i.e. age, gender, home ownership, social grade and ethnicity). Smokers reported motivation to quit, urges to smoke and the Heaviness of Smoking Index (HIS). Weighted prevalence statistics were calculated. Multinomial regression and logistic regression were used to assess differences in smoking characteristics among smokers and socio‐demographic characteristics relative to non‐smokers. Findings The prevalence of smoking between January 2009 and July 2019 was highest among those aged 21–30. In 2019, 15.6% [95% confidence interval (CI) = 12.8–18.8%] of 18–20‐year‐olds reported smoking, which is estimated to represent 364 000 individuals in England. Relative to smokers aged 18–20, older smokers (aged 21+) had a higher motivation to quit smoking [odds ratios (ORs) = 1.40–1.45 range] and higher nicotine dependency as measured by urges to smoke (ORs = 1.06–1.24 range) and HSI (ORs = 1.05–2.85 range). Compared with non‐smokers aged 18–20, smokers in this age group had lower odds of being female (OR = 0.89) and higher odds of being of white ethnicity (OR = 2.78) and from social grades C1–E (lower social grades) compared with AB (higher social grades) (OR = 1.19–1.83 range). Conclusion: Increasing the age of sale of cigarettes to 21 years in England would currently target approximately 364 000 lower dependent smokers from more disadvantaged backgrounds aged 18–20, who have less motivation to quit. [ABSTRACT FROM AUTHOR]

Background and aims: Association of electronic cigarette use and subsequent smoking has received considerable attention, although age of first use has not. This study tested differences in regular (e‐cigarettes, cigarettes) and ever (cigarettes) use between e‐cigarette user groups: early versus never users, late versus never users, early versus late users and effects of controlling for covariates. Design Prospective study with 12‐ and 24‐month follow‐up of e‐cigarette/cigarette ever/regular use with data from an intervention. Setting: Forty‐five schools in England (Staffordshire and Yorkshire). Participants: Never smokers (3289 13–14‐year‐olds) who were part of a cluster randomized controlled trial. Measurements The sample was divided into groups of e‐cigarette users: early users (at 13–14 years), late users (at 14–15 years) and never users (at 13–14 and 14–15 years). Dependent variables were self‐reported regular e‐cigarette and cigarette use and ever cigarette use at 15–16 years. Covariates were assessed. Findings Early and late users compared with never users were significantly more likely to be regular e‐cigarette users [early: odds ratio (OR) = 9.42, 95% confidence interval (CI) = 5.38, 16.49, P < 0.001; late: OR = 6.89, 95% CI = 4.11, 11.54, P < 0.001], ever cigarette users (early: OR = 7.96, 95% CI = 6.02, 10.53, P < 0.001; late: OR = 5.13, 95% CI = 3.85, 6.84, P < 0.001) and regular cigarette users (early: OR = 7.80, 95% CI = 3.99, 15.27, P < 0.001; late: OR = 4.34, 95% CI = 1.93, 9.77, P < 0.001) at age 15–16 years. Late users compared with early users had significantly lower rates of ever use of cigarettes at 15–16 years (OR = 0.48, 95% CI = 0.35, 0.66, P < 0.001), although this difference was non‐significant at 12 months after first use of e‐cigarettes (OR = 0.89, 95% CI = 0.64, 1.25, P = 0.498). Controlling for covariates did not change the findings. Conclusions: Adolescents in England who report using e‐cigarettes at age 13–14 years have higher rates of subsequently initiating cigarette use than adolescents who report using e‐cigarettes at age 14–15 years, a difference that may be attributable to a longer period of time to initiate cigarette use in former group. [ABSTRACT FROM AUTHOR]

Aims: To explore how people who use fentanyl and health‐care providers engaged in and responded to overdose risk communication interactions, and how these engagements and responses might vary by age. Design A single‐site qualitative in‐depth interview study. Setting: Boston, MA, United States. Participants: The sample included 21 people (10 women, 11 men) who were either 18–25 or 35+, English‐speaking, and reported illicit fentanyl use in the last year and 10 health‐care providers who worked directly with people who use fentanyl (PWUF) in clinical and community settings. Measurements Open‐ended, flexible interview questions guided by a risk communication framework were used in all interviews. Codes used for thematic analysis included deductive codes related to the risk communication framework and inductive, emergent codes from interview content. Findings We identified potential age‐based differences in perceptions of fentanyl overdose, including that younger participants appeared to display more perceptions of an immunity to fentanyl's lethality, while older people seemed to express a stronger aversion to fentanyl due to its heightened risk of fatal overdose, shorter effects and potential for long‐term health consequences. Providers perceived greater challenges relaying risk information to young PWUF and believed them to be less open to risk communication. Compassionate harm reduction communication was preferred by all participants and perceived to be delivered most effectively by community health workers and peers. PWUF and providers identified structural barriers that limited compassionate harm reduction, including misalignment of available treatment with preferred options and clinical structures that impeded the delivery of risk communication messages. Conclusions: Among people who engage in illicit fentanyl use, fentanyl‐related risk communication experiences and preferences may vary by age, but some foundational elements including compassionate, trust‐building approaches seem to be preferred across the age spectrum. Structural barriers in the clinical setting such as provider‐prescribing power and infrequent encounters may impede the providers' ability to provide compassionate harm reduction communication. [ABSTRACT FROM AUTHOR]

Background and aim: The effect of the COVID‐19 pandemic on alcohol consumption is currently unclear. This study aimed to provide early estimates of how stress and demographics will interact with shifts in harmful alcohol consumption from before the COVID‐19 outbreak to 2 months into social distancing. Design Cross‐sectional convenience sample. Setting: Australia. Participants: A total of 1684 Australians aged 18–65 years who drink at least monthly. Measurements Items from the Alcohol Use Disorders Identification Test (AUDIT) and the stress subscale of the Depression Anxiety and Stress Scale (DASS). Findings Overall, harmful drinking decreased during social distancing measures in our sample [2019 score = 8.2, 95% confidence interval (CI) = 7.9–8.4; during the pandemic = 7.3, 95% CI = 7.1–7.6]. Younger drinkers, particularly young women, decreased their consumption the most, but there was a small increase in consumption in middle‐aged women. Drinkers experiencing high levels of stress also reported a relatively higher shift in harmful consumption compared with those with low levels of stress (β = 0.65, P = 0.003), despite reporting a small decrease overall. Conclusions: The closure of licensed premises and social distancing measures in Australia in response to the COVID‐19 outbreak appear to have reduced harmful alcohol consumption in younger drinkers, particularly young women. [ABSTRACT FROM AUTHOR]

An editorial is presented that examines the benefits of raising age-of-sale laws for combustible tobacco. Particular focus is given to how something like a Combustible 21 law could prohibit the sale of combustible tobacco to individuals under 21 years of age, leaving open the opportunity for those individuals to legally purchase e-cigarettes and smokeless tobacco products. The possible effects of incentivizing e-cigarettes are also noted.

Background and Aims: Uruguay and Chile have the highest levels of marijuana use in Latin America, and have experienced consistent increases during the last two decades. We aim to calculate separate age–period–cohort (APC) effects for past‐year marijuana use in Uruguay and Chile, which have similar epidemiologica, and demographic profiles but diverging paths in cannabis regulation. Design: APC study in which period and cohort effects were estimated as first derivative deviations from their linear age trend, separately by country and gender. Setting: Uruguay and Chile. Participants: General population between 15 and 64 years. Measurements Past‐year marijuana use from household surveys with five repeated cross‐sections between 2001 and 2018 in Uruguay (median n = 4616) and 13 between 1994 and 2018 in Chile (median n = 15 895). Findings Marijuana use prevalence in both countries peaked at 20–24 years of age and increased consistently across calendar years. Period effects were strong and positive, indicating that increases in use were evident across age groups. Relative to 2006 (reference year), Chilean period effects were approximately 48% lower in 1994 and approximately four times higher in 2018; in Uruguay, these effects were approximately 56% lower in 2001 and almost quadrupled in 2018. We observed non‐linear cohort effects in Chile and similar patterns in Uruguay for the overall sample and women. In both countries, marijuana use increased for cohorts born between the mid‐1970s and early 1990s, even in the context of rising period effects. Prevalence was consistently larger for men, but period increases were stronger in women. Conclusions: Age–period–cohort effects on past‐year marijuana use appear to have been similar in Chile and Uruguay, decreasing with age and increasing over time at heterogeneous growth rates depending on gender and cohort. Current levels of marijuana use, including age and gender disparities, seem to be associated with recent common historical events in these two countries. [ABSTRACT FROM AUTHOR]

Background and aims: Nearly all the research conducted on high‐intensity drinking has focused on college and school‐based samples, with recent calls for research to understand this risky drinking pattern in non‐school‐based samples and across time. This study aimed to characterize predictors and consequences of non‐binge drinking, age‐ and gender‐adjusted binge drinking (level I) and drinking at levels representing two or more times (level II) and three or more times the level I binge threshold (level III) in a clinical sample of adolescents followed into young adulthood. Design Cross‐sectional associations between non‐binge drinking, binge levels, and negative alcohol‐related consequences were examined during adolescence; prospective analyses tested whether adolescent non‐binge drinking and binge levels predicted alcohol use disorder (AUD) symptoms in young adulthood and whether changes in drinking motives over time were associated with binge levels in young adulthood. Setting: US clinical settings. Participants: A total of 432 adolescents (aged 12–18 years) with alcohol‐related problems followed into young adulthood (aged 19–25 years). Measurements Life‐time drinking history, Structured Clinical Interview for DSM AUDs, and Inventory of Drinking Situations. Findings Results were generally consistent with a distinction between binge level I versus levels II–III on various negative alcohol‐related consequences in adolescence (Ps < 0.05) that were maintained in young adulthood (Ps < 0.01). The maintenance of relatively high endorsement of enhancement and social motives over time was associated with binge levels II–III in young adulthood (Ps < 0.001); decreases in coping motives were associated with less risky drinking in adulthood (P = 0.003). Conclusions: Among US adolescents with alcohol‐related problems who were followed‐up in young adulthood (aged 19–25 years), standard threshold binge drinking (five or more drinks per occasion; level I) was generally associated with fewer alcohol‐related consequences and problem behaviors than binge drinking at two or more times (level II) or three or more times (level III) the standard binge threshold. [ABSTRACT FROM AUTHOR]

Aims: At a time of declining smoking prevalence in England, it is useful to document any changes in the characteristics of smokers. This has implications for targeting tobacco control policies and interventions. This study compared the characteristics of smokers from 2008 to 2017 to assess changes in smoking and quitting patterns and socio‐demographic profile. Design and setting Analysis of annual trends in results from repeated cross‐sectional surveys of representative samples of the population in England from 2008 to 2017. Participants: The study included 208 813 adults aged 16+. Measurements Information was gathered on age, sex, social grade and region, cigarette consumption, cigarette dependence as measured by time to first cigarette of the day, daily smoking, smoking roll‐your‐own cigarettes, attempts to cut down, use of an e‐cigarette or nicotine replacement therapy, attempts to cut down or quit, use of support in quit attempts and whether the quit attempt was abrupt. Findings During the period, mean daily cigarette consumption [B = –0.30, 95% confidence interval (CI) = –0.33 to −0.27] and the time to first cigarette score decreased (B = –0.03, 95% CI = –0.03 to −0.02). The proportion of smokers attempting to cut down or quit decreased (odds ratio (OR) range = 0.96–0.97, 95% CI range = 0.95–0.97). Use of behavioural support [odds ratio (OR) = 0.89, 95% CI = 0.86–0.92] or no support decreased (OR = 0.98, 95% CI = 0.96–0.99), while use of pharmacological support, including e‐cigarettes, increased (OR = 1.04, 95% CI = 1.02–1.05). There was no significant change in the difference in social grade between smokers and non‐smokers comparing 2008 with 2017. Changes in smoking and quitting behaviour were independent of changes in socio‐demographic characteristics. Conclusions: Between 2008 and 2017 in England, smokers appear to have become less dependent on cigarettes but less likely to try to quit or cut down. Of those who tried to quit, fewer used behavioural support and more used pharmacological support. The proportion from more disadvantaged backgrounds did not change significantly. [ABSTRACT FROM AUTHOR]

Aims: In Iran, injecting drug use has been the major route of human immunodeficiency virus (HIV) transmission. In order to control the HIV epidemic, a harm reduction program was initiated and has been expanded in recent years. The aim of this study was to provide an updated estimate of HIV prevalence among people who inject drugs (PWID) in Iran, investigate prevalence differences over time and assess prevalence correlates. Design A comprehensive systematic review was undertaken in the international, regional and national bibliographic databases in November 2018 and extensive contacts with authors were made. For studies conducted before 2005, we used data from a previous published systematic review. Setting: All studies conducted in Iran were included. Recruitment settings included anywhere except studies conducted in infectious diseases wards or HIV counseling centers. Participants: PWID with any definition utilized in the studies. Thirty‐six studies were included, which were conducted in 24 of 31 provinces with a sample size of 22 160 PWID. Measurements We included studies that had performed HIV testing and had a confirmed diagnosis of HIV through repeating the enzyme‐linked immunosorbent assay (ELISA) or Western immunoblot assay (WB). Pooled prevalence of HIV was calculated for the total sample and for different subgroups, by available socio‐demographic and behavioral factors. For assessing the trend of HIV prevalence over time, a linear meta‐regression model was fitted separately for before 2007 and during 2007 and afterwards. Findings The pooled prevalences of HIV before 2007 and in 2007 and afterwards were 14.3% [95% confidence interval (CI) = 9.8–18.9] and 9.7% (95% CI = 7.6–11.9), respectively. HIV prevalence increased until 2005–06 and then slowly declined until 2009–10, which was not significant. Prevalence of HIV was significantly higher in PWID above age 25 years, and in those with history of imprisonment and history of needle/syringe‐sharing. HIV prevalence was higher in men than in women, but the difference was insignificant. Conclusion: The prevalence of HIV among people who inject drugs in Iran decreased after 2006 which could, at least in part, be attributed to the development of extensive harm reduction programs in the country. [ABSTRACT FROM AUTHOR]

Aims: To examine whether norms towards nicotine vaping product (NVP) use varied between Australia, Canada, England and the United States and by socio‐demographics, smoking and NVP status. Design Cross‐sectional data from the 2016 ITC Four Country Smoking and Vaping Survey. Setting: Four countries with distinct regulatory policies relating to the sale and advertising of NVPs: Australia (most restrictive), Canada (restrictive), England and the United States (least restrictive). Participants: A total of 10900 adult (age 18+) current smokers, former smokers, or at least weekly NVP users. Respondents were from Australia (n = 1366), Canada (n = 3309), England (n = 3835) and the United States (n = 2390). Measurements Questions permitted the categorization of respondents as current smokers, former smokers, NVP users and socio‐demographic categories (sex, age, country, ethnicity, income and education). Further questions were asked regarding the frequency of exposure to NVPs in public, whether they had a partner or close friends who vaped and whether they believed society or those considered important to them approved of NVPs. Findings Adjusting for relevant covariates, compared with Australian respondents, those in England, Canada and the United States were more likely to report frequent exposure to NVPs in public (83.1%, 57.3% and 48.3%, respectively, compared to 19.8% in Australia; P < 0.0001), having a partner who vaped (13.8%, 7.1% and 7.7%, respectively, compared to 2.1% in Australia; P < 0.0001) and having close friend(s) who vaped (31.7%, 25.3%, 20.9%, respectively, compared to 10.0% in Australia; P < 0.0001). Compared with Australian respondents, respondents from England were more likely to report that society (27.6% compared to 12.3% in Australia; P < 0.0001) and people important to them approved of NVP use (28.9% compared to 14.3% in Australia; P < 0.0001). Conclusions: Norms towards nicotine vaping product (NVP) use appear to vary among countries with different regulatory contexts regarding sales and advertising. [ABSTRACT FROM AUTHOR]

Aim: To describe the methods of the 2016 International Tobacco Control (ITC) Four Country Smoking and Vaping (4CV) Survey, conducted in 2016 in Australia (AU), Canada (CA), England (EN) and the United States (US). Methods: The respondents were cigarette smokers, former smokers (quit within the previous 2 years), and at‐least‐weekly vapers, aged 18 years and older. Eligible cohort members from the ITC Four Country Survey (4C) were retained. New respondents were sampled by commercial firms from their panels. Where possible, ages 18–24 and vapers were oversampled. Data were collected online, and respondents were remunerated. Survey weights were calibrated to benchmarks from nationally representative surveys. Results: Response rates by country for new recruits once invited ranged from 15.2 to 49.6%. Sample sizes for smokers/former smokers were 1504 in AU, 3006 in CA, 3773 in EN and 2239 in the US. Sample sizes for additional vapers were 727 in CA, 551 in EN and 494 in the US. Conclusion: The International Tobacco Control Four Country Smoking and Vaping Survey design and data collection methods allow analyses to examine prospectively the use of cigarettes and nicotine vaping products in jurisdictions with different regulatory policies. The effects on the sampling designs and response quality of recruiting the respondents from commercial panels are mitigated by the use of demographic and geographic quotas in sampling; by quality control measures; and by the construction of survey weights taking into account smoking/vaping status, sex, age, education and geography. [ABSTRACT FROM AUTHOR]

Background and Aims: Understanding whether and how far smokers' characteristics influence the effectiveness of treatment may be important for tailoring recommendations on cessation aids to those most likely to help the user achieve abstinence. This study aimed to estimate the effectiveness of commonly used smoking cessation aids and test whether their effectiveness differs according to cigarette addiction, socio‐economic status, age or sex. Design Correlational design using cross‐sectional survey data collected monthly between 2006 and 2018. Setting: England. Participants: A total of 18 929 adults (aged ≥ 16 years, 52.0% female) who had smoked within the previous 12 months and had made at least one quit attempt during that period. Measurements The outcome was self‐reported abstinence from quit date to survey. Independent variables were self‐reported use during the most recent quit attempt of: prescription nicotine replacement therapy (NRT), NRT over‐the‐counter, varenicline, bupropion, e‐cigarettes, face‐to‐face behavioural support, telephone support, written self‐help materials, websites and hypnotherapy. Moderators were cigarette addiction, social grade, age and sex. Findings After adjustment for covariates and use of other cessation aids, users of e‐cigarettes [odds ratio (OR) = 1.95, 95% confidence interval (CI) = 1.69–2.24] and varenicline (OR = 1.82, 95% CI = 1.51–2.21) had significantly higher odds of reporting abstinence than those who did not report use of these cessation aids. Use of prescription NRT was associated with increased abstinence in older (≥ 45 years) (OR = 1.58, 95% CI = 1.25–2.00) but not younger (< 45 years) smokers (OR = 1.09, 95% CI = 0.85–1.42). Use of websites was associated with increased abstinence in smokers from lower (OR = 2.20, 95% CI = 1.22–3.98) but not higher social grades (OR = 0.74, 95% CI = 0.40–1.38). There was little evidence of benefits of using other cessation aids. Conclusions: Use of e‐cigarettes and varenicline are associated with higher abstinence rates following a quit attempt in England. Use of prescription of nicotine replacement therapy is also associated with higher abstinence rates, but only in older smokers, and use of websites only in smokers from lower socio‐economic status. [ABSTRACT FROM AUTHOR]

Aims: To assess the impact of cigarette prices on male smoking initiation and cessation in Kenya from 1960 to 2014. Design Longitudinal study using individual level data from the 2014 Global Adult Tobacco Survey (GATS) and historical data on cigarette prices. Setting: Kenya. Participants: A total of 2079 men, among whom 619 identified as ever‐smokers. Measurements Self‐reported data on the years of smoking initiation and cessation, merged with historical data on cigarette prices. We employed several methodologies to estimate the effect of prices on smoking transitions, including a pooled linear model with propensity score matching (PSM). Results: Price increases were negatively associated with smoking initiation, with price elasticity of initiation ranging from −0.03 (−0.066 to –0.000) to −0.14 (−0.216 to –0.0563). The association was two to three times larger for younger male adults compared with the average. Price increases were correlated with increased cessation for younger males, with a price elasticity of 0.08 (0.027–0.141) and for low‐income males with a price elasticity of 0.16 (−0.752 to 0.429). Conclusions: Cigarette price increases in Kenya between 1960 and 2014 were negatively associated with males' smoking initiation and positively associated with younger and lower‐income males' cessation. [ABSTRACT FROM AUTHOR]

Background and Aims Including a low‐intensity blood collection method in population‐based alcohol studies would advance our ability to study biological mechanisms related to alcohol. However, the likelihood of participation in such a blood collection method remains understudied. This study's primary aims were to (1) estimate the return rate of mail‐in, self‐administered dried blood spot (saDBS) samples in national surveys and (2) test correlates of returning a sample. Design Re‐contact of all eligible participants from two telephone, population‐based alcohol surveys followed by χ2 tests and multivariate logistic regression analysis. Setting Non‐institutionalized US population in all 50 states and Washington, DC. Participants Adults aged 18+ who reported drinking at least one alcoholic beverage in the past 12 months (assessed 2017–18). Contact was made with 680 eligible participants, and 257 consented. Measurements The return rate of saDBS samples was defined as the proportion of returned samples among those who were eligible and contacted. Key correlates examined were gender, age, race/ethnicity and education. Findings Among the 680 eligible people contacted, 179 (26.3%) returned a saDBS sample. Blacks [odds ratio (OR) = 0.58, 95% confidence interval (CI) = 0.35–0.95], Latinos (OR = 0.40, 95% CI = 0.23–0.69) and those with a high school education or less (OR = 0.50, 95% CI = 0.31–0.81). Conclusions: The likelihood of participating in mail‐in, self‐administered dried blood spot (saDBS) sampling among drinkers in the US general population appears low, and blacks, Latinos and people with lower levels of education appear less likely to provide a saDBS sample compared with whites and people with higher levels of education. [ABSTRACT FROM AUTHOR]

Background and Aims: Long‐term frequent marijuana use is associated with significant negative outcomes, yet little is known about the longitudinal course of marijuana use among those who start frequent use during adolescence. Objectives are (a) to identify latent patterns of within‐person marijuana use from ages 19–30 years among 12th graders reporting frequent marijuana use, (b) to examine if membership in identified patterns has changed across historical time and (c) to examine if key covariates differentiate class membership. Design, Setting, Participants: Longitudinal, national US panel data from 4423 individuals [53.4% of the eligible sample; 2744 (62%) males] who reported frequent marijuana use in 12th grade (modal age 18 years; senior year cohorts 1976–2006) followed biennially from ages 19/20 to 29/30. Measurements Self‐reported past 30‐day marijuana use (frequent use defined as use on 20+ occasions), demographics, college graduation, marriage and parenthood. Findings Repeated‐measures latent class analysis (RMLCA) identified five latent classes of past 30‐day marijuana use from ages 19/20 to 29/30: continued frequent users (estimated membership 23.4%); frequent to non‐frequent users (15.5%); consistent non‐frequent users (18.4%); non‐frequent users to discontinuers (19.5%); and discontinuers (23.2%). In multivariable models, membership in the highest‐risk latent class (continued frequent users) versus one or more of the lower‐risk latent classes was more likely for recent cohorts (P = 0.038 to <0.001), as well as those who did not marry (P = 0.039 to < 0.001) or become parents (P = 0.001) by modal age 29/30. Conclusions: Nearly one in four 12th grade (modal age 18 years) frequent marijuana users in the US continues to report high frequency use to age 30; the proportion continuing high frequency use across young adulthood has increased among more recent cohorts. [ABSTRACT FROM AUTHOR]

Aims: To examine smoking prevalence, motivation and attempts to stop smoking, markers of cigarette addiction and success in quit attempts of people living in social housing in England compared with other housing tenures. Design and setting: A large cross‐sectional survey of a representative sample of the English population conducted between January 2015 and October 2017. Participants: A total of 57 522 adults (aged ≥ 16 years). Measurements Main outcomes were smoking status, number of cigarettes per day, time to first cigarette, exposure to smoking by others, motivation to stop smoking, past‐year quit attempts and use of cessation support. Covariates were age, sex, social grade, region and survey year. Findings Adults in social housing had twice the odds of being smokers than those living in other housing types [odds ratio (OR) = 2.09, 95% confidence interval (CI) = 1.98–2.22, P < 0.001]. Smokers in social housing consumed more cigarettes daily (adjusted mean difference = 1.09 cigarettes, 95% CI = 0.72–1.46, P < 0.001) and were more likely to smoke within 30 minutes of waking (OR = 1.63, 95% CI = 1.48–1.79, P < 0.001) than smokers living in other housing types. Prevalence of high motivation to stop smoking was similar across housing types (OR = 1.04, 95% CI = 0.91–1.19, P = 0.553). The prevalence of quit attempts and use of cessation support within the past year were greater in social compared with other housing (OR = 1.14, 95% CI = 1.03–1.26, P = 0.011; OR = 1.30, 95% CI = 1.09–1.54, P = 0.003), but success in quitting was much lower (OR = 0.57, 95% CI = 0.45–0.72, P < 0.001). Conclusions: In England, living in social housing is a major independent risk factor for smoking. These easily identifiable hot‐spots consist of smokers who are at least as motivated to stop as other smokers, but find it more difficult. [ABSTRACT FROM AUTHOR]

Background and aims: Young Russians have been drinking less alcohol, and fewer strong spirits in particular, in recent years. This study aimed to disentangle age, period and birth cohort effects for the first time in Russia to improve our understanding of these trends. Design Age, period and cohort analysis of annual nationally representative repeated cross‐sectional surveys [Russian Longitudinal Monitoring Survey– Higher School of Economics (RLMS‐HSE)] using separate logistic models for each gender. Setting: Russia 1994–2016. Participants: A total of 195 234 respondents aged 14–85 years. Measurements Age (14 groups: 14‐17 to 76+ years), period (21 years: 1994–2016) and birth cohorts (17 groups: 1920–24 to 2000–02). Outcome measures were 30‐day overall and beverage‐specific alcohol use prevalence accounting for vodka, moonshine, beer and wine. Controls were per capita income, education, marital status, ethnicity, residence type and regional climate. Findings Controlling for age and period effects, the most recent cohorts had lower rates of participation than older cohorts. Findings were valid for females born in 1995–2002 (P = 0.000) and males born in 1990–94 (P = 0.002) and 1995–2002 (P = 0.000). The period effects were strong in 1994–2003 due to intensive substitution of beer in place of vodka. Period effects were also important in determining a decline of prevalence in 2008–15 due to restrictive alcohol policy. Age effects showed an inverse U‐shaped trend in both genders, except for moonshine and wine. Overall, drinking profiles were beverage‐specific. Models indicated diverse beverage‐specific effects of income, ethnicity, education, marital status and residence on the prevalence of alcohol use. Conclusion: The recent downward trend in alcohol use in Russia appears to be attributable to reduced participation rates among younger cohorts born after 1990. [ABSTRACT FROM AUTHOR]

Background and aims: E‐cigarettes (EC) and nicotine replacement therapy (NRT) are less harmful than smoking, but misperceptions of relative harm are common. Aims were to (1) assess nicotine knowledge and perceptions of: harm of EC and NRT relative to smoking, addictiveness of EC relative to smoking, and change in harm to user if smoking replaced with EC; (2) define associations of these perceptions with respondent characteristics including nicotine knowledge; and (3) explore perceived main harms of EC and whether these differ by vaping status. Design Analyses were: (1) frequencies; (2) logistic regressions of perceptions of relative harm, addictiveness and change in harm onto demographics, smoking and vaping status and nicotine knowledge (attributing cancer or health risks of smoking to nicotine); and (3) frequencies and χ2 statistics. Setting and participants: Participants were smokers and recent ex‐smokers from one wave (September 2017) of a longitudinal online survey in the United Kingdom (n = 1720). Measurements Demographics included gender, age, smoking status, vaping status and income. Survey questions collected data on nicotine knowledge and harm perceptions of different products; the relative harm perceptions of NRT, EC and tobacco cigarettes; and perceived main harms of EC. Findings Relative to smoking, 57.3% perceived EC and 63.4% NRT to be less harmful; 25.4% perceived EC to be less addictive; and 32.2% thought replacing smoking with EC reduced health harms a great deal. Participants were less likely to endorse these beliefs if they had never vaped, and participants who had inaccurate nicotine knowledge were less likely to endorse all these beliefs apart from the addictiveness of EC. The main concerns about EC were a lack of research (48.3%), regulation or quality control (37.8%) and harmfulness of chemicals (41.6%). Conclusions: Large proportions of UK smokers and ex‐smokers overestimate the relative harmfulness of e‐cigarettes and nicotine replacement therapy compared with smoking; misattributing smoking harms to nicotine is associated with increased misperceptions. [ABSTRACT FROM AUTHOR]

Background and aims: The aims of this study were, in people in treatment for drug use in Funen, Denmark, to: (1) assess prevalence of hepatitis C virus (HCV) test uptake and prevalence of HCV; (2) identify predictors of test update and HCV infection; and (3) characterize changes between 1996 and 2015 in test uptake, HCV prevalence and drug use. Design Cohort study linking the Danish National Registry on Drug Users in Treatment to the regional hepatitis test registry and the Danish Death Certificate Registry, thus combining longitudinal data on drug use with data on HCV testing and results. Setting and participants: People recorded as having received treatment for drug use between 1996 and 2015 (n = 5483) in Funen, Denmark. In the cohort, 24.8% were female, median age 23 years [interquartile range (IQR) = 20–32] at entry and 50% had self‐reported injecting or had received opiate substitution therapy (OST). Measurements The main outcomes were the test for HCV ever and latest HCV‐RNA being positive. The main predictors were for test and infection investigated; ever receiving OST, self‐reported injecting, age at entry and connection to treatment centre offering outreach hepatitis care. Findings HCV test uptake was 52% and prevalence of current HCV‐RNA+ was 21% in people alive at the end of follow‐up. Positive predictors of having undergone HCV testing were: receiving OST [odds ratio (OR) = 3.7; 95% confidence interval (CI) = 3.2–4.5], self‐reported injecting (OR = 2.3; 95% CI = 2.0–2.7), female gender (OR = 1.7; 95% CI = 1.4–1.9) and having been connected to centres with outreach hepatitis care (OR = 1.4; 95% CI = 1.2–1.7). In people alive, HCV‐RNA+ prevalence was 31% if ever on OST or self‐reported injecting. Among HCV‐infected people, 69% were in drug use treatment at end of follow‐up. For participants entering the cohort after 2010, only 5% reported opiates as main drug of use and 17% had experience of injecting. Conclusion: Among Danish people in treatment for drug use from 1996 to 2015, receiving opiate substitution therapy had the largest associating to being tested for hepatitis C virus. As opiate use is declining, adapting test strategies will be necessary. [ABSTRACT FROM AUTHOR]

Aims: Survey data from 10 diverse countries were used to analyse the social location of harms from others' drinking: which segments of the population are more likely to be adversely affected by such harm, and how does this differ between societies? Methods: General‐population surveys in Australia, Chile, India, Laos, New Zealand, Nigeria, Sri Lanka, Thailand, United States and Vietnam, with a primary focus on the social location of the harmed person by gender, age groups, rural/urban residence and drinking status. Harms from known drinkers were analysed separately from harms from strangers. Results: In all sites, risky or moderate drinkers were more likely than abstainers to report harm from the drinking of known drinkers, with risky drinkers the most likely to report harm. This was also generally true for harm from strangers' drinking, although the patterns were more mixed in Vietnam and Thailand. Harm from strangers' drinking was more often reported by males, while gender disparity in harm from known drinkers varied between sites. Younger adults were more likely to experience harm both from known drinkers and from strangers in some, but not all, societies. Only a few sites showed significant urban/rural differences, with disparities varying in direction. In multivariate analyses, most relationships remained, although some were no longer significant. Conclusion: The social location of harms from others' drinking, whether known or a stranger, varies considerably between societies. One near‐commonality among the societies is that those who are themselves risky drinkers are more likely to suffer harm from others' drinking. [ABSTRACT FROM AUTHOR]

Background and Aims: The threshold of 4+/5+ drinks per occasion has been used for decades in alcohol research to distinguish between non‐risky versus risky episodic drinking. However, no study has assessed the validity of this threshold using event‐level data. This study aimed to determine the optimal thresholds for the detection of five acute alcohol‐related consequences (hangover, blackout, risky sex, fights and injury) using data from two event‐level studies. Design An event‐level study to assess the ability to use the number of drinks consumed to discriminate between nights with and without consequences using the area under the receiver operating characteristic (AUROC) curve. Optimal thresholds were determined using the Youden Index based on sensitivity and specificity. Separate thresholds were estimated for gender and age groups (16–17 versus 18–25). Setting: Lausanne and Zurich, Switzerland. Participants: Three hundred and sixty‐nine participants aged 16–25 years. Measurements On 3554 weekend nights, participants reported total number of alcoholic drinks consumed the previous night and acute consequences (hangover, blackout, risky sex, fights and injury) Findings Hangover was the most frequently reported consequence and injury the least for both genders. Throughout age groups and studies, optimal thresholds for any consequence, and for hangover only, were equal to 4+/5+ (40+/50+ g alcohol) while those for blackouts, risky sex, fights and injuries were up to three drinks higher. Adolescents tended to experience consequences more often and at slightly lower drinking levels than did adults. For all consequences but injuries, the optimal thresholds were one to two drinks lower for women than for men. Conclusions: Event‐level data collection techniques appear particularly suitable to estimate thresholds at which acute alcohol‐related consequences occur. Binge drinking thresholds of 4+/5+ (women/men) drinks, equivalent to 40+/50+ g pure alcohol, predict the occurrence of consequences accurately in general but are too low to predict severe acute alcohol‐related consequences. [ABSTRACT FROM AUTHOR]

Abstract: Background and Aims: Studies have linked adolescent alcohol use with adverse consequences in adulthood, yet it is unclear how strong the associations are and to what extent they may be due to confounding. Our aim was to estimate the strength of association between different patterns of adolescent drinking and longer‐term psychosocial harms taking into account individual, family and peer factors. Design: Participant‐level data were integrated from four long‐running longitudinal studies: Australian Temperament Project, Christchurch Health and Development Study, Mater Hospital and University of Queensland Study of Pregnancy and Victorian Adolescent Health Cohort Study. Setting: Australia and New Zealand. Participants: Participants were assessed on multiple occasions between ages 13 and 30 years (from 1991 to 2012). Number of participants varied (up to n = 9453) by analysis. Measurements: Three patterns of alcohol use (frequent, heavy episodic and problem drinking) were assessed prior to age 17. Thirty outcomes were assessed to age 30 spanning substance use and related problems, antisocial behaviour, sexual risk‐taking, accidents, socio‐economic functioning, mental health and partner relationships. Findings: After covariate adjustment, weekly drinking prior to age 17 was associated with a two‐ to threefold increase in the odds of binge drinking [odds ratio (OR) = 2.14; 95% confidence interval (CI) = 1.57–2.90], drink driving (OR = 2.78; 95% CI = 1.84–4.19), alcohol‐related problems (OR = 3.04; 95% CI = 1.90–4.84) and alcohol dependence (OR = 3.30; 95% CI = 1.69–6.47) in adulthood. Frequency of drinking accounted for a greater proportion of the rate of most adverse outcomes than the other measures of alcohol use. Associations between frequent, heavy episodic and problem drinking in adolescence and most non‐alcohol outcomes were largely explained by shared risk factors for adolescent alcohol use and poor psychosocial functioning. Conclusions: Frequency of adolescent drinking predicts substance use problems in adulthood as much as, and possibly more than, heavy episodic and problem drinking independent of individual, family and peer predictors of those outcomes. [ABSTRACT FROM AUTHOR]

Abstract: Aims: To assess (1) how far the efficacies of front‐line smoking cessation pharmacotherapies vary as a function of smoker characteristics and (2) associations between these characteristics and success of smoking cessation attempts. Design: Prospective correlational study in the context of a double‐blind randomized trial. The outcome was regressed individually onto each covariate after adjusting for treatment, and then a forward stepwise model constructed. Treatment moderator effects of covariates were tested by treatment × covariate interactions. Setting: Health service facilities in multiple countries. Participants: Data came from 8120 smokers willing to make a quit attempt, randomized to varenicline, bupropion, nicotine replacement therapy (NRT) or placebo in Evaluating Adverse Events in a Global Smoking Cessation Study (EAGLES) between 30 November 2011 and 13 January 2015. Measurements: Smoker characteristics measured at baseline were country, psychiatric history, sex, age, body mass index (BMI), ethnic group, life‐time suicidal ideation/behaviour, anxiety, depression, aggression, psychotropic medication, history of alcohol/substance use disorder, age of starting smoking, cigarette dependence [Fagerström Test for Cigarette Dependence (FTCD)] and prior use of study medicines. Outcome was biochemically confirmed continuous abstinence at weeks 9–24 from start of treatment. Findings: No statistically significant treatment × covariate interactions were found. Odds of success were associated independently positively with age [odds ratio (OR) = 1.01; 95% confidence interval (CI) = 1.00, 1.01], BMI (1.01; 95% CI = 1.00, 1.02) and age of starting smoking (1.03; 95% CI = 1.02, 1.04). Odds were associated independently negatively with US (versus non‐US) study site (0.53; 95% CI = 0.46, 0.61), black (versus white) ethnic group (0.57; 95% CI = 0.45, 0.72), mood disorder (0.85; 95% CI = 0.73, 0.99), anxiety disorder (0.71; 95% CI = 0.55, 0.90) and psychotic disorder (0.73; 95% CI = 0.50, 1.07), taking psychotropic medication (0.81; 95% CI = 0.68, 0.95), FTCD (0.89; 95% CI = 0.87, 0.92) and previous use of NRT (0.78; 95% CI = 0.67, 0.91). Conclusions: While a range of smoker characteristics—including psychiatric history, cigarette dependence and prior use of nicotine replacement therapy (NRT)—are associated with lower cessation rates, they do not substantially influence the efficacy of varenicline, bupropion or NRT. [ABSTRACT FROM AUTHOR]

Abstract: Background and aims: Little is known about the long‐term economic consequences of smoking during pregnancy. We estimated the association between smoking in pregnancy and the costs of delivering health‐care to infants and children in England, and investigated which aspects of care are the key drivers of these costs. Methods: We used Hospital Episode Statistics (HES) linked with Clinical Practice Research Datalink (CPRD) data in England from January 2003 to January 2015 in children with longitudinal data for at least 1, 5 and 10 years after birth. Poisson regression provided rate ratios (RR) and 95% confidence intervals (CIs) comparing health‐care episode rates between those exposed and not exposed to smoking during pregnancy. Linear regression was used to compare estimated costs between groups (£ sterling, 2015 prices) and generalized linear multivariable (GLM) models adjusted for potentially moderating factors. Results: A total of 93 152 singleton pregnancies with the required data were identified. Maternal smoking in pregnancy was associated with higher primary care, prescription and hospital in‐patient episode rates, but lower out‐patient visit and diagnostic test rates. Adjusting for year of birth, socio‐economic deprivation, parity, sex of child and delivery method showed that maternal smoking in pregnancy was associated with increased child health‐care costs at 1 year [average cost difference for children of smokers, β = £91.18, 95% confidence interval (CI) = £47.52–134.83 and 5 years of age (β = £221.80, 95% CI = £17.78–425.83], but not at 10 years of age (β = £365.94, 95% CI = –£192.72 to £924.60). Conclusion: In England, maternal smoking in pregnancy is associated with increased child health‐care costs over the first 5 years of life; these costs are driven primarily by greater hospital in‐patient care. [ABSTRACT FROM AUTHOR]

Abstract: Aims: We evaluated the effects of a community organizing intervention, Communities Mobilizing for Change on Alcohol (CMCA), on the propensity of retail alcohol outlets to sell alcohol to young buyers without age identification and on alcohol acquisition behaviors of underage youth. Design: Random assignment of community to treatment (n = 3) or control (n = 2). Student surveys were conducted four times per year for 3 years; the cohort was in 9th and 10th grades in the 2012–13 academic year. Alcohol purchase attempts were conducted every 4 weeks at alcohol retailers in each community (31 repeated waves). Setting: The Cherokee Nation, located in northeastern Oklahoma, USA. Participants: A total of 1399 high school students (50% male; 45% American Indian) and 113 stores licensed to sell alcohol across five study communities. Intervention: Local community organizers formed independent citizen action teams to advance policies, procedures and practices of local institutions in ways to reduce youth access to alcohol and foster community norms opposed to teen drinking. Measurements: Perceptions regarding police enforcement and perceived difficulty of and self‐reported actual acquisition of alcohol from parents, adults, peers and stores. Findings: Alcohol purchases by young‐appearing buyers declined significantly, an 18 [95% confidence interval (CI) = 3, 33] percentage‐point reduction over the intervention period. Student survey results show statistically significant differences in the trajectory of perceived police enforcement, increasing 7 (4, 10) percentage points, alcohol acquisition from parents, decreasing 4 (0.1, 8) percentage points, acquisition from 21+ adults, decreasing 6 (0.04, 11) percentage points, from < 21 peers decreasing 8 (3, 13) percentage points and acquisition from stores decreasing 5 (1, 9) percentage points. Conclusions: A community organizing intervention, Communities Mobilizing for Change on Alcohol (CMCA), is effective in reducing the availability of alcohol to underage youth in the United states. Furthermore, results indicate that the previously reported significant effects of CMCA on teen drinking operate, at least in part, through effects on alcohol access. [ABSTRACT FROM AUTHOR]

Abstract: Aims: To estimate the prevalence, incidence and gender and age‐specific incidence of problem gambling in the Swedish adult population. Design: Longitudinal cohort study with linkage to register data. Setting: Sweden. Participants: Stratified random sample aged 16–84 years at baseline (n = 8165) re‐assessed a year later (n = 6021). Measurements: Problem gambling (life‐time and past 12 months) was measured by the South Oaks Gambling Screen–Revised (SOGS‐R). Past 12‐month (current) problem gambling was also measured by the Problem Gambling Severity Index (PGSI). Findings: The SOGS‐R combined current pathological and problem gambling prevalence rate (PR) was 2.1 [95% confidence interval (CI) = 1.8–2.4] at baseline and 1.7 (1.4–2.0) at follow‐up, approximately half the corresponding life‐time estimates.[Correction added on 22 Dec 2017, after first online publication: In the preceding sentence, the SOGS‐R combined current pathological and problem gambling prevalence rate (PR) was incorrectly reported as being double the corresponding life‐time rate. It has been corrected in this version.] PGSI combined current problem and moderate‐risk gambling PRs were 2.2 (1.9–2.5) at baseline and 1.9 (1.6–2.2) at follow‐up. Combined incidence rates (IRs) were 1.0 (0.8–1.3) (SOGS‐R) and 1.4 (1.1–1.7) (PGSI), with more than three‐quarters being new cases. While first‐time IRs did not vary by gender, males had a higher relapse IR and proportionately more females were new cases. The young adult IR was more than double the older adult IR; similar proportions were new cases. Conclusions: The actual incidence of problem gambling relapse in Sweden is likely to be higher than estimated. The profile of problem gambling in Sweden is likely to change over time, with increased proportions of women and older adults. [ABSTRACT FROM AUTHOR]

Background and aims Prescription opioid overdose is a leading cause of injury-related morbidity and mortality in the United States. We aimed to identify characteristics associated with clinical severity in emergency department patients with prescription opioid overdose. Design This was a secondary data analysis of adult prescription opioid overdoses from a large prospective cohort of acute overdoses. We examined elements of a typical emergency department evaluation using a multivariable model to determine which characteristics were associated with clinical severity, specifically severe respiratory depression (SRD). Setting This study was conducted at two urban academic emergency departments in New York City, USA. Participants Adult patients who presented with acute prescription opioid overdose between 2009 and 2013 were included in the current study. We analyzed 307 patients (mean age = 44.7, 42% female, 2.0% mortality). Measurements Patient demographics, reported substances ingested, suspected intent for ingesting the substance, vital signs, laboratory data, treatments including antidotes and intubation and outcome of death were recorded by trained research assistants. Intent was categorized into four mutually exclusive categories: suicide, misuse, therapeutic error and undetermined. The primary outcome was SRD, defined as administration of either (a) naloxone or (b) endotracheal intubation (ETI). Findings A total of 109 patients suffered SRD with 90 patients receiving naloxone alone, nine ETI alone and 10 both naloxone and ETI. The most common opioids were oxycodone ( n = 124) and methadone ( n = 116). Mean age was higher in patients with SRD (51.1 versus 41.1, P < 0.001). Opioid misuse was associated with SRD in the multivariable analysis [odds ratio (OR) = 2.07, 95% confidence interval (CI) = 1.21-3.55]. The unadjusted relative risk of SRD was high for fentanyl (83.3% SRD) and lowest for codeine (3.6% SRD). Conclusion In emergency department patients in the United States with prescription opioid overdose, worse clinical severity was associated with opioid misuse, increased with age and was widely variable, depending on the specific opioid medication involved. [ABSTRACT FROM AUTHOR]