Sober Curiosity: A Qualitative Study Exploring Women's Preparedness to Reduce Alcohol by Social Class.

BACKGROUND: Urgent action is required to identify socially acceptable alcohol reduction options for heavy-drinking midlife Australian women. This study represents innovation in public health research to explore how current trends in popular wellness culture toward 'sober curiosity' (i.e., an interest in what reducing alcohol consumption would or could be like) and normalising non-drinking could increase women's preparedness to reduce alcohol consumption. METHODS: Qualitative interviews were undertaken with 27 midlife Australian women (aged 45-64) living in Adelaide, Melbourne and Sydney in different social class groups (working, middle and affluent-class) to explore their perceptions of sober curiosity. RESULTS: Women were unequally distributed across social-classes and accordingly the social-class analysis considered proportionally the volume of data at particular codes. Regardless, social-class patterns in women's preparedness to reduce alcohol consumption were generated through data analysis. Affluent women's preparedness to reduce alcohol consumption stemmed from a desire for self-regulation and to retain control; middle-class women's preparedness to reduce alcohol was part of performing civility and respectability and working-class women's preparedness to reduce alcohol was highly challenging. Options are provided for alcohol reduction targeting the social contexts of consumption (the things that lead midlife women to feel prepared to reduce drinking) according to levels of disadvantage. CONCLUSION: Our findings reinstate the importance of recognising social class in public health disease prevention; validating that socially determined factors which shape daily living also shape health outcomes and this results in inequities for women in the lowest class positions to reduce alcohol and related risks.

The Effect of the First UK COVID-19 Lockdown on Users of the Drink Less App: Interrupted Time Series Analysis of Sociodemographic Characteristics, Engagement, and Alcohol Reduction.

BACKGROUND: The first UK COVID-19 lockdown had a polarizing impact on drinking behavior and may have impacted engagement with digital interventions to reduce alcohol consumption. OBJECTIVE: We examined the effect of lockdown on engagement, alcohol reduction, and the sociodemographic characteristics of users of the popular and widely available alcohol reduction app Drink Less. METHODS: This was a natural experiment. The study period spanned 468 days between March 24, 2019, and July 3, 2020, with the introduction of UK lockdown measures beginning on March 24, 2020. Users were 18 years or older, based in the United Kingdom, and interested in drinking less. Interrupted time series analyses using generalized additive mixed models (GAMMs) were conducted for each outcome variable (ie, sociodemographic characteristics, app downloads and engagement levels, alcohol consumption, and extent of alcohol reduction) for existing (downloaded the app prelockdown) and new (downloaded the app during the lockdown) users of the app. RESULTS: Among existing users of the Drink Less app, there were increases in the time spent on the app per day (B=0.01, P=.01), mean units of alcohol recorded per day (B>0.00 P=.02), and mean heavy drinking (>6 units) days (B>0.00, P=.02) during the lockdown. Previous declines in new app downloads plateaued during the lockdown (incidence rate ratio [IRR]=1.00, P=.18). Among new app users, there was an increase in the proportion of female users (B>0.00, P=.04) and those at risk of alcohol dependence (B>0.00, P=.01) and a decrease in the proportion of nonmanual workers (B>-0.00, P=.04). Among new app users, there were step increases in the mean number of alcohol units per day (B=20.12, P=.03), heavy-drinking days (B=1.38, P=.01), and the number of days the app was used (B=2.05, P=.02), alongside a step decrease in the percentage of available screens viewed (B=-0.03, P=.04), indicating users were using less of the intervention components within the app. CONCLUSIONS: Following the first UK lockdown, there was evidence of increases in engagement and alcohol consumption among new and existing users of the Drink Less app.

Exploring changes in temporary abstinence in increasing and higher risk drinkers in England and Dry January participation in users of the Try Dry app in the UK between 2020 and 2021.

BACKGROUND: We looked at changes in the prevalence of increasing and higher risk drinkers reporting a reduction attempt motivated by temporary abstinence and changes in prevalence of use of the official app accompanying Dry January between 2020 vs 2021, following the onset of the COVID-19 pandemic. We also explored potential shifts in the sociodemographic composition of both groups. METHODS: We analysed data from: i) 1863 increasing and higher risk drinkers (defined as ≥ 8 on the AUDIT) responding to a nationally representative survey of adults in England in January and February 2020 and 2021, and ii) 104,598 users of the 'Try Dry' app, the official aid to those participating in Dry January 2020 and 2021 in the UK. We used logistic regression to examine shifts in the prevalence of increasing and higher risk drinkers reporting a reduction attempt motivated by temporary abstinence and explored whether there were shifts in the characteristics of this group in terms of AUDIT score, number of last year reduction attempts, smoking status, living alone, living with children, reducing alcohol consumption due to future health motives, age, sex, and occupational social grade between 2020 and 2021. We used t-tests and chi-squared tests to compare the prevalence of users of the 'Try Dry' app in 2020 and 2021 and examine whether the two groups differed in terms of age and sex. RESULTS: The proportion of increasing and higher risk drinkers reporting a reduction attempt motivated by temporary abstinence increased from 4% in 2020 to 8% in 2021 (OR = 2.07, 95% CI = 1.38-3.11, p < .001) with no changes detected in sociodemographic composition. The number of Try Dry app users in 2021 increased by 34.8% relative to 2020. App users in 2021 were two years older on average [p < .001, d = .02], with a 2% increase in the proportion of female app users [p < .001, vs. < .01]. CONCLUSIONS: Higher participation in Dry January 2021 relative to 2020 indicates increased engagement with a period of temporary abstinence following the COVID-19 related lockdowns in England and the UK, which is positive in the wider context of increasing alcohol consumption throughout the pandemic.

Testing an mHealth System for Individuals With Mild to Moderate Alcohol Use Disorders: Protocol for a Type 1 Hybrid Effectiveness-Implementation Trial.

BACKGROUND: The extent of human interaction needed to achieve effective and cost-effective use of mobile health (mHealth) apps for individuals with mild to moderate alcohol use disorder (AUD) remains largely unexamined. This study seeks to understand how varying levels of human interaction affect the ways in which an mHealth intervention for the prevention and treatment of AUDs works or does not work, for whom, and under what circumstances. OBJECTIVE: The primary aim is to detect the effectiveness of an mHealth intervention by assessing differences in self-reported risky drinking patterns and quality of life between participants in three study groups (self-monitored, peer-supported, and clinically integrated). The cost-effectiveness of each approach will also be assessed. METHODS: This hybrid type 1 study is an unblinded patient-level randomized clinical trial testing the effects of using an evidence-based mHealth system on participants' drinking patterns and quality of life. There are two groups of participants for this study: individuals receiving the intervention and health care professionals practicing in the broader health care environment. The intervention is a smartphone app that encourages users to reduce their alcohol consumption within the context of integrative medicine using techniques to build healthy habits. The primary outcomes for quantitative analysis will be participant data on their risky drinking days and quality of life as well as app use from weekly and quarterly surveys. Cost measures include intervention and implementation costs. The cost per participant will be determined for each study arm, with intervention and implementation costs separated within each group. There will also be a qualitative assessment of health care professionals' engagement with the app as well as their thoughts on participant experience with the app. RESULTS: This protocol was approved by the Health Sciences Minimal Risk Institutional Review Board on November 18, 2019, with subsequent annual reviews. Recruitment began on March 6, 2020, but was suspended on March 13, 2020, due to the COVID-19 pandemic restrictions. Limited recruitment resumed on July 6, 2020. Trial status as of November 17, 2021, is as follows: 357 participants were enrolled in the study for a planned enrollment of 546 participants. CONCLUSIONS: The new knowledge gained from this study could have wide and lasting benefits related to the integration of mHealth systems for individuals with mild to moderate AUDs. The results of this study will guide policy makers and providers toward cost-effective ways to incorporate technology in health care and community settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT04011644; https://clinicaltrials.gov/ct2/show/NCT04011644. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/31109.

Moderators of changes in smoking, drinking and quitting behaviour associated with the first COVID-19 lockdown in England.

AIM: To estimate changes in smoking, drinking and quitting behaviour from before to during the first COVID-19 lockdown in England, and whether changes differed by age, sex or social grade. DESIGN: Representative cross-sectional surveys of adults, collected monthly between August 2018 and July 2020. SETTING: England. PARTICIPANTS: A total of 36 980 adults (≥ 18 years). MEASUREMENTS: Independent variables were survey month (pre-lockdown: August-February versus lockdown months: April-July) and year (pandemic: 2019/20 versus comparator: 2018/19). Smoking outcomes were smoking prevalence, cessation, quit attempts, quit success and use of evidence-based or remote cessation support. Drinking outcomes were high-risk drinking prevalence, alcohol reduction attempts and use of evidence-based or remote support. Moderators were age, sex and occupational social grade (ABC1 = more advantaged/C2DE = less advantaged). FINDINGS: Relative to changes during the same time period in 2018/19, lockdown was associated with significant increases in smoking prevalence [+24.7% in 2019/20 versus 0.0% in 2018/19, adjusted odds ratio (aOR) = 1.35, 95% confidence interval (CI) = 1.12-1.63] and quit attempts (+39.9 versus -22.2%, aOR = 2.48, 95% CI = 1.76-3.50) among 18-34-year-olds, but not older groups. Increases in cessation (+156.4 versus -12.5%, aOR = 3.08, 95% CI = 1.86-5.09) and the success rate of quit attempts (+99.2 versus +0.8%, aOR = 2.29, 95% CI = 1.31-3.98) were also observed, and did not differ significantly by age, sex or social grade. Lockdown was associated with a significant increase in high-risk drinking prevalence among all socio-demographic groups (+39.5 versus -7.8%, aOR = 1.80, 95% CI = 1.64-1.98), with particularly high increases among women (aOR = 2.17, 95% CI = 1.87-2.53) and social grades C2DE (aOR = 2.34, 95% CI = 2.00-2.74). Alcohol reduction attempts increased significantly among high-risk drinkers from social grades ABC1 (aOR = 2.31, 95% CI = 1.78-3.00) but not C2DE (aOR = 1.25, 95% CI = 0.83-1.88). There were few significant changes in use of support for smoking cessation or alcohol reduction, although samples were small. CONCLUSIONS: In England, the first COVID-19 lockdown was associated with increased smoking prevalence among younger adults and increased high-risk drinking prevalence among all adults. Smoking cessation activity also increased: more younger smokers made quit attempts during lockdown and more smokers quit successfully. Socio-economic disparities in drinking behaviour were evident: high-risk drinking increased by more among women and those from less advantaged social grades (C2DE), but the rate of reduction attempts increased only among the more advantaged social grades (ABC1).

Association of the COVID-19 lockdown with smoking, drinking and attempts to quit in England: an analysis of 2019-20 data.

AIM: To examine changes in smoking, drinking and quitting/reduction behaviour following the COVID-19 lockdown in England. DESIGN/SETTING: Monthly cross-sectional surveys representative of the adult population in England, aggregated before (April 2019-February 2020) versus after (April 2020) lockdown. PARTICIPANTS: A total of 20 558 adults (≥ 16 years). MEASUREMENTS: The independent variable was the timing of the COVID-19 lockdown (before versus after March 2020). Dependent variables were: prevalence of smoking and high-risk drinking, past-year cessation and quit attempts (among past-year smokers), past-year attempts to reduce alcohol consumption (among high-risk drinkers) and use of evidence-based (e.g. prescription medication/face-to-face behavioural support) and remote support [telephone support/websites/applications (apps)] for smoking cessation and alcohol reduction (among smokers/high-risk drinkers who made a quit/reduction attempt). Covariates included age, sex, social grade, region and level of nicotine and alcohol dependence (as relevant). FINDINGS: The COVID-19 lockdown was not associated with a significant change in smoking prevalence [17.0% (after) versus 15.9% (before), odds ratio (OR) = 1.09, 95% CI = 0.95-1.24], but was associated with increases in quit attempts [39.6 versus 29.1%, adjusted odds ratio (ORadj ) = 1.56, 95% CI = 1.23-1.98], quit success (21.3 versus 13.9%, ORadj  = 2.01, 95% CI = 1.22-3.33) and cessation (8.8 versus 4.1%, ORadj  = 2.63, 95% CI = 1.69-4.09) among past-year smokers. Among smokers who tried to quit, there was no significant change in use of evidence-based support (50.0 versus 51.5%, ORadj  = 1.10, 95% CI = 0.72-1.68) but use of remote support increased (10.9 versus 2.7%, ORadj  = 3.59, 95% CI = 1.56-8.23). Lockdown was associated with increases in high-risk drinking (38.3 versus 25.1%, OR = 1.85, CI = 1.67-2.06), but also alcohol reduction attempts by high-risk drinkers (28.5 versus 15.3%, ORadj  = 2.16, 95% CI = 1.77-2.64). Among high-risk drinkers who made a reduction attempt, use of evidence-based support decreased (1.2 versus 4.0%, ORadj  = 0.23, 95% CI = 0.05-0.97) and there was no significant change in use of remote support (6.9 versus 6.1%, ORadj  = 1.32, 95% CI = 0.64-2.75). CONCLUSIONS: Following the March 2020 COVID-19 lockdown, smokers and high-risk drinkers in England were more likely than before lockdown to report trying to quit smoking or reduce alcohol consumption and rates of smoking cessation and use of remote cessation support were higher. However, high-risk drinking prevalence increased post-lockdown and use of evidence-based support for alcohol reduction by high-risk drinkers decreased with no compensatory increase in use of remote support.