Solitary drinkers in Great Britain: How do their sociodemographic characteristics, consumption patterns, and drinking occasions differ from those who drink with others?

OBJECTIVE: Inequalities in alcohol-related harm may arise partly from differences in drinking practices between population groups. One under-researched practice associated with harm is consuming alcohol alone. We identify sociodemographic characteristics associated with drinking alone and the occasion-level characteristics associated with occasions when people drink alone. METHOD: A cross-sectional analysis of one-week drinking diaries collected between 2015 and 2019 was conducted using event-level data on 271,738 drinking occasions reported by 83,952 adult drinkers in Great Britain. Our two dependent variables were a binary indicator of reporting at least one solitary drinking occasion in the diary-week at the individual-level and a binary indicator of drinking alone at the occasion-level (event-level). RESULTS: Individual-level characteristics associated with solitary drinking were being a man (OR 1.88, 95%CI [1.80,1.96]), aged over 50 (OR 2.60, 95%CI [2.40,2.81]), not in a relationship (OR 3.39, 95%CI [3.20, 3.59]), living alone (OR 2.51, 95%CI [2.37, 2.66]), and a high-risk drinker (OR 1.54, 95%CI [1.52,1.59]). Occasion-level characteristics associated with solitary drinking were that they were more likely to occur in the off-trade (OR 3.08, 95%CI [2.95,3.21]), Monday-Thursday (OR 1.36, 95%CI [1.27,1.47]), and after 10pm (OR 1.36, 95%CI [1.27,1.47]) controlling for geographic region and the month the interview took place. CONCLUSIONS: Characteristics of solitary drinking largely align with characteristics we associated with drinking problems. Those who partake in at least one solitary drinking occasion are overall more likely to consume alcohol at risky levels, however, the number of drinks consumed in each occasion was lower during a solitary drinking occasion.

How can agent-based modelling provide new insights into the impact of minimum unit pricing in Scotland?

In recent years we have gained insight into the impact of minimum unit pricing (MUP)-a legal floor price below which a given volume of alcohol cannot be sold-on population-level reductions in alcohol sales, consumption and harm. However, several questions remain unanswered including how individual-level purchasing changes impact the local economy (e.g., balance between on-licence and off-licence outlets), lead to long-term population-level trends (e.g., youth drinking) and social harms (e.g., violence). Agent-based modelling captures heterogeneity, emergence, feedback loops and adaptive and dynamic features, which provides an opportunity to understand the nuanced effects of MUP. Agent-based models (ABM) simulate heterogeneous agents (e.g., individuals, organisations) often situated in space and time that interact with other agents and/or with their environment, allowing us to identify the mechanisms underlying social phenomena. ABMs are particularly useful for theory development, and testing and simulating the impacts of policies and interventions. We illustrate how ABMs could be applied to generate novel insights and provide best estimates of social network effects, and changes in purchasing behaviour and social harms, due to the implementation of MUP. ABMs like other modelling approaches can simulate alternative implementations of MUP (e.g., policy intensity [£0.50, £0.60] or spatial scales [local, national]) but can also provide an understanding of the potential impact of MUP on different population groups (e.g., alcohol exposure of young people who are not yet drinking). Using ABMs to understand the impact of MUP would provide new insights to complement those from traditional epidemiological and other modelling methods.

Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis.

Economic determinants are important for population health, but actionable evidence of how policies can utilise these pathways remains scarce. This study employs a microsimulation framework to evaluate the effects of taxation and social security policies on population mental health. The UK economic crisis caused by the COVID-19 pandemic provides an informative context involving an economic shock accompanied by one of the strongest discretionary fiscal responses amongst OECD countries. The analytical setup involves a dynamic, stochastic, discrete-time microsimulation model (SimPaths) projecting changes in psychological distress given predicted economic outcomes from a static tax-benefit microsimulation model (UKMOD) based on different policy scenarios. We contrast projections of psychological distress for the working-age population from 2017 to 2025 given the observed policy environment against a counterfactual scenario where pre-crisis policies remained in place. Levels of psychological distress and potential cases of common mental disorders (CMDs) were assessed with the 12-item General Health Questionnaire (GHQ-12). The UK policy response to the economic crisis is estimated to have prevented a substantial fall (over 12 percentage points, %pt) in the employment rate in 2020 and 2021. In 2020, projected psychological distress increased substantially (CMD prevalence increase >10%pt) under both the observed and the counterfactual policy scenarios. Through economic pathways, the policy response is estimated to have prevented a further 3.4%pt [95%UI 2.8%pt, 4.0%pt] increase in the prevalence of CMDs, approximately 1.2 million cases. Beyond 2021, as employment levels rapidly recovered, psychological distress returned to the pre-pandemic trend. Sustained preventative effects on poverty are estimated, with projected levels 2.1%pt [95%UI 1.8%pt, 2.5%pt] lower in 2025 than in the absence of the observed policy response. The study shows that policies protecting employment during an economic crisis are effective in preventing short-term mental health losses and have lasting effects on poverty levels. This preventative effect has substantial public health benefits.

How is alcohol consumption and heavy episodic drinking spread across different types of drinking occasion in Great Britain: An event-level latent class analysis.

BACKGROUND: This paper aimed to (i) update a previous typology of British alcohol drinking occasions using a more recent and expanded dataset and revised modelling procedure, and (ii) estimate the average consumption level, prevalence of heavy drinking, and distribution of all alcohol consumption and heavy drinking within and across occasion types. METHODS: The paper uses a cross-sectional latent class analysis of event-level diary data that includes characteristics of 43,089 drinking occasions in 2019 reported by 17,821 adult drinkers in Great Britain. The latent class indicators are characteristics of off-trade only (e.g. home), on-trade only (e.g. bar) and mixed trade (e.g. home and bar) drinking occasions. These describe companions, locations, purpose, motivation, accompanying activities, timings, consumption volume in units (1 UK unit = 8g ethanol) and beverages consumed. RESULTS: The analysis identified four off-trade only, eight on-trade only and three mixed-trade occasion types (i.e. latent classes). Mean consumption per occasion varied between 4.4 units in Family meals to 17.7 units in Big nights out with pre-loading. It exceeded ten units in all mixed-trade occasion types and in Off-trade get togethers, Big nights out and Male friends at the pub. Three off-trade types accounted for 50.8% of all alcohol consumed and 51.8% of heavy drinking occasions: Quiet drink at home alone, Evening at home with partner and Off-trade get togethers. For thirteen out of fifteen occasion types, more than 25% of occasions involved heavy drinking. Conversely, 41.7% of Big nights out and 16.4% of Big nights out with preloading were not heavy drinking occasions. CONCLUSIONS: Alcohol consumption varies substantially across and within fifteen types of drinking occasion in Great Britain. Heavy drinking is common in most occasion types. However, moderate drinking is also common in occasion types often characterised as heavy drinking practices. Mixed-trade drinking occasions are particularly likely to involve heavy drinking.

Estimating quality-adjusted life expectancy (QALE) for local authorities in Great Britain and its association with indicators of the inclusive economy: a cross-sectional study.

OBJECTIVES: Quantifying area-level inequalities in population health can help to inform policy responses. We describe an approach for estimating quality-adjusted life expectancy (QALE), a comprehensive health expectancy measure, for local authorities (LAs) in Great Britain (GB). To identify potential factors accounting for LA-level QALE inequalities, we examined the association between inclusive economy indicators and QALE. SETTING: 361/363 LAs in GB (lower tier/district level) within the period 2018-2020. DATA AND METHODS: We estimated life tables for LAs using official statistics and utility scores from an area-level linkage of the Understanding Society survey. Using the Sullivan method, we estimated QALE at birth in years with corresponding 80% CIs. To examine the association between inclusive economy indicators and QALE, we used an open access data set operationalising the inclusive economy, created by the System Science in Public Health and Health Economics Research consortium. RESULTS: Population-weighted QALE estimates across LAs in GB were lowest in Scotland (females/males: 65.1 years/64.9 years) and Wales (65.0 years/65.2 years), while they were highest in England (67.5 years/67.6 years). The range across LAs for females was from 56.3 years (80% CI 45.6 to 67.1) in Mansfield to 77.7 years (80% CI 65.11 to 90.2) in Runnymede. QALE for males ranged from 57.5 years (80% CI 40.2 to 74.7) in Merthyr Tydfil to 77.2 years (80% CI 65.4 to 89.1) in Runnymede. Indicators of the inclusive economy accounted for more than half of the variation in QALE at the LA level (adjusted R2 females/males: 50%/57%). Although more inclusivity was generally associated with higher levels of QALE at the LA level, this association was not consistent across all 13 inclusive economy indicators. CONCLUSIONS: QALE can be estimated for LAs in GB, enabling further research into area-level health inequalities. The associations we identified between inclusive economy indicators and QALE highlight potential policy priorities for improving population health and reducing health inequalities.

Using the Doughnut Economics framework to structure whole-system thinking in socioecological wellbeing with multidisciplinary stakeholders: an applied case study in Glasgow, Scotland.

BACKGROUND: Human and environmental health are inseparable and interdependent. Doughnut Economics is a conceptual framework combining the Sustainable Development Goals with Planetary Boundaries, thereby simultaneously considering human and planetary wellbeing. The vision is to "meet the needs of all people within the means of the living planet, for the benefit of both current and future generations". Glasgow City Council has committed to becoming a Green Wellbeing Economy, with a socially just transition to Net Zero by 2030. Through our City-University partnership, we are exploring whether Doughnut Economics can drive transformative action towards a sustainable, healthy, and equitable future. METHODS: Glasgow is a pilot site for the C40 Cities' Thriving City Portrait methodology that downscales Doughnut Economics to cities. The Portrait process combined desk-based research and policy review (from January to April, 2022) with participatory workshops to enrich initial findings. The five participatory workshops took place between April, 2022, and February, 2023, and involved about 130 stakeholders. Participants included civil servants, politicians, scientists, community representatives, employees and representatives of private and third-sector organisations, and social enterprises, identified through an iterative stakeholder mapping process with City Council partners. Workshop aims were to create pluralistic definitions of what thriving means for each of the Doughnut's social and ecological dimensions. Ethics approval for the study was granted by The University of Glasgow, College of Medical Veterinary and Life Sciences. FINDINGS: The workshops produced a shared, holistic vision for Glasgow's future as a thriving city. The Doughnut demonstrated potential as a tool for both understanding the city's socioecological impacts, and as a compass by which the city might set its policy agenda. It allows the multiple goals and priorities of a city system to congregate around a cohesive goal. The Portrait process led to a widening of stakeholders' perspectives, applying systems thinking to policy priorities, cross-sector discussion and collaboration, and significant buy-in from a diverse range of changemakers. INTERPRETATION: The Doughnut framework offered a starting point for Public and Planetary Health researchers to understand connections, co-benefits and trade-offs across different parts of the policy and intervention system. Applying this framework in cities could generate support for whole-system interventions and sustainable solutions to the complex and interconnected climate and social challenges we face. One of the limitations is that we do not yet know whether stakeholders can translate support for this co-created framework into tangible whole-systems action. FUNDING: UKRI Natural Environment Research Council and University of Glasgow.

Change and stability in British drinking practices and culture between 2009 and 2019: A longitudinal latent class analysis of drinking occasions.

Rationale: Theories of practice can support understanding of health-related behaviours, but few studies use quantitative methods to understand time-trends in practices. This paper describes changes in the prevalence and performance of alcohol drinking practices in Great Britain between 2009 and 2019. Methods: Latent class analyses of annual cross-sectional data collected between 2009 and 2019. The dataset come from a one-week retrospective diary survey of adults resident in Great Britain. It contains 604,578 drinking occasions reported by 213,470 adults (18+) who consumed alcohol in the diary-week. The measures describe occasion characteristics including companions, location, motivation, timings, accompanying activities and alcohol consumed. We estimate separate latent class models for each year and for off-trade only (e.g. home), on-trade only (e.g. bar) and mixed-trade occasions. Results: We identified fifteen practices; four off-trade only, eight on-trade only and three mixed-trade. The prevalence of practices was largely stable over time except for shifts away from drinking with a partner and towards drinking alone in the off-trade, and shifts away from Big nights out and towards other forms of heavy drinking in the on-trade. We identified five key trends in the performance of practices: (i) spirits increasingly replaced wine as the main beverage consumed in occasions; (ii) home-drinking moved away from routinised wine-drinking with meals on weekdays and towards spirits-drinking on weekends; (iii) the Male friends at the pub practice changed less than other pub-drinking practices; (iv) Big nights out started later, often in nightclubs, and involved less pub-drinking or heavy drinking and (v) the meal-based and Going out with partner practice formats showed few changes over time. Conclusion: Key recent trends in British drinking practices include a decline in routinised wine-drinking at home, a transformation of big nights out and a mixture of stability and change in pub- and meal-based practices.

Continued challenges in pediatric anesthesia during COVID-19 in 2022: An international survey from the pediatric anesthesia COVID-19 collaborative.

INTRODUCTION: This international survey explored the ongoing impact of COVID-19 on pediatric anesthesiology. It assessed COVID-19's impact on the practice of pediatric anesthesiology, staffing, job satisfaction, and retention at the beginning of 2022 and addressed what should be done to ameliorate COVID-19's impact and what initiatives hospitals had implemented. METHODS: This survey focused on five major domains: equipment/medication, vaccination/testing, staffing, burnout, and economic repercussions. Pilot testing for questionnaire clarity was conducted by members of the Pediatric Anesthesia COVID-19 Collaborative. The survey was administered by e-mail to a representative of the 72 collaborative centers. Respondents were instructed to answer based on their institution's practice from February through April of 2022. Descriptive statistics with 95% confidence intervals are reported. RESULTS: Seventy of seventy-two institutions participated in this survey (97% response rate). Fifty-nine (84%) were from the United States, and 11 (16%) included other countries. The majority experienced equipment (68%) and medication (60%) shortages. Many institutions reported staffing shortages in nursing (37%), perioperative staff (27%), and attending anesthesiologists (11%). Sixty-two institutions (89%) indicated burnout was a frequent topic of conversation among pediatric anesthesiologists. Forty-three institutions (61%) reported anesthesiologists leaving current practice and 37 (53%) early retirement. Twenty-eight institutions (40%) canceled elective cases. The major suggestions for improving job retention included improving financial compensation (76%), decreasing clinical time (67%), and increasing flexibility in scheduled clinical time (66%). Only a minority of institutions had implemented the following initiatives: improving financial compensation (19%), increased access to mental health/counseling services (30%), and assistance with child or elder care (7%). At the time of the survey, 34% of institutions had not made any changes. CONCLUSION: Our study found that COVID-19 has continued to impact pediatric anesthesiology. There are major discrepancies between what anesthesiologists believe are important for job satisfaction and faculty retention compared to implemented initiatives. Data from this survey provide insight for institutions and departments for addressing these challenges.

Systems science methods in public health: what can they contribute to our understanding of and response to the cost-of-living crisis?

BACKGROUND: Many complex public health evidence gaps cannot be fully resolved using only conventional public health methods. We aim to familiarise public health researchers with selected systems science methods that may contribute to a better understanding of complex phenomena and lead to more impactful interventions. As a case study, we choose the current cost-of-living crisis, which affects disposable income as a key structural determinant of health. METHODS: We first outline the potential role of systems science methods for public health research more generally, then provide an overview of the complexity of the cost-of-living crisis as a specific case study. We propose how four systems science methods (soft systems, microsimulation, agent-based and system dynamics models) could be applied to provide more in-depth understanding. For each method, we illustrate its unique knowledge contributions, and set out one or more options for studies that could help inform policy and practice responses. RESULTS: Due to its fundamental impact on the determinants of health, while limiting resources for population-level interventions, the cost-of-living crisis presents a complex public health challenge. When confronted with complexity, non-linearity, feedback loops and adaptation processes, systems methods allow a deeper understanding and forecasting of the interactions and spill-over effects common with real-world interventions and policies. CONCLUSIONS: Systems science methods provide a rich methodological toolbox that complements our traditional public health methods. This toolbox may be particularly useful in early stages of the current cost-of-living crisis: for understanding the situation, developing solutions and sandboxing potential responses to improve population health.

The public-private decision for alcohol retail systems: Examining the economic, health, and social impacts of alternative systems in Finland.

Background: Organising alcohol retail systems with more or less public ownership has implications for health and the economy. The aim of the present study was to estimate the economic, health, and social impacts of alcohol use in Finland in 2018 (baseline), and in two alternative scenarios in which current partial public ownership of alcohol retail sales is either increased or fully privatised. Methods: Baseline alcohol-attributable harms and costs were estimated across five categories of death, disability, and criminal justice. Two alternate alcohol retail systems were defined as privately owned stores selling: (1) only low strength alcoholic beverages (public ownership scenario, similar to Sweden); or (2) all beverages (private ownership scenario). Policy analyses were conducted to estimate changes in alcohol use per capita. Health and economic impacts were modelled using administrative data and epidemiological modelling. Results: In Finland in 2018, alcohol use was estimated to be responsible for €1.51 billion (95% Uncertainty Estimates: €1.43 billion, €1.58 billion) in social cost, 3,846 deaths, and 270,652 criminal justice events. In the public ownership scenario, it was estimated that alcohol use would decline by 15.8% (11.8%, 19.7%) and social cost by €384.3 million (€189.5 million, €559.2 million). Full privatisation was associated with an increase in alcohol use of 9.0% (6.2%, 11.8%) and an increase in social cost of €289.7 million (€140.8 million, €439.5 million). Conclusion: The outcome from applying a novel analytical approach suggests that more public ownership of the alcohol retail system may lead to significant decreases in alcohol-caused death, disability, crime, and social costs. Conversely, full privatisation of the ownership model would lead to increased harm and costs.

Situated drinking: The association between eating and alcohol consumption in Great Britain.

Aims: This paper examines the co-occurrence of drinking alcohol and eating in Great Britain. Applying a practice-theoretical framework, it attends primarily to the nature and characteristics of events - to social situations. It asks whether drinking events involving food are significantly different from those without, whether differences are the same at home as on commercial public premises, and whether differences are the same for men and women. The focus is especially on episodes of drinking with meals at home, an infrequently explored context for a substantial proportion of contemporary alcohol consumption. Data: Employing a secondary analysis of commercial data about the British population in 2016, we examine reports of 47,645 drinking events, on commercial premises and at other locations, to explore how eating food and consumption of alcoholic beverages affect one another. Three types of event are compared - drinking with meals, with snacks, and without any food. Variables describing situations include group size and composition, temporal and spatial parameters, beverages, purposes, and simultaneous activities. Basic sociodemographic characteristics of respondents are also examined, with a special focus on the effects of gender. Results: Behaviours differ between settings. The presence of food at a drinking episode is associated with different patterns of participation, orientations, and quantities and types of beverage consumed. Gender, age, and class differences are apparent. Conclusions: Patterns of alcohol consumption are significantly affected by the accompaniment of food. This is a much-neglected topic that would benefit from further comparative and time series studies to determine the consequences for behaviour and intervention.

The public health implications of the cost-of-living crisis: outlining mechanisms and modelling consequences.

The UK, and other high-income countries, are experiencing substantial increases in living costs. Several overlapping and intersecting economic crises threaten physical and mental health in the immediate and longer term. Policy responses may buffer against the worst effects (e.g. welfare support) or further undermine health (e.g. austerity). We explore fundamental causes underpinning the cost-of-living crisis, examine potential pathways by which the crisis could impact population health and use a case study to model potential impacts of one aspect of the crisis on a specific health outcome. Our modelling illustrates how policy approaches can substantially protect health and avoid exacerbating health inequalities. Targeting support at vulnerable households is likely to protect health most effectively. The current crisis is likely to be the first of many in era of political and climate uncertainty. More refined integrated economic and health modelling has the potential to inform policy integration, or 'health in all policies'.

Patient and Process Outcomes among Pediatric Patients Undergoing Appendectomy during the COVID-19 Pandemic: An International Retrospective Cohort Study.

BACKGROUND: COVID-19 forced healthcare systems to make unprecedented changes in clinical care processes. The authors hypothesized that the COVID-19 pandemic adversely impacted timely access to care, perioperative processes, and clinical outcomes for pediatric patients undergoing primary appendectomy. METHODS: A retrospective, international, multicenter study was conducted using matched cohorts within participating centers of the international PEdiatric Anesthesia COVID-19 Collaborative (PEACOC). Patients younger than 18 yr old were matched using age, American Society of Anesthesiologists Physical Status, and sex. The primary outcome was the difference in hospital length of stay of patients undergoing primary appendectomy during a 2-month period early in the COVID-19 pandemic (April to May 2020) compared with prepandemic (April to May 2019). Secondary outcomes included time to appendectomy and the incidence of complicated appendicitis. RESULTS: A total of 3,351 cases from 28 institutions were available with 1,684 cases in the prepandemic cohort matched to 1,618 in the pandemic cohort. Hospital length of stay was statistically significantly different between the two groups: 29 h (interquartile range: 18 to 79) in the pandemic cohort versus 28 h (interquartile range: 18 to 67) in the prepandemic cohort (adjusted coefficient, 1 [95% CI, 0.39 to 1.61]; P < 0.001), but this difference was small. Eight centers demonstrated a statistically significantly longer hospital length of stay in the pandemic period than in the prepandemic period, while 13 were shorter and 7 did not observe a statistically significant difference. During the pandemic period, there was a greater occurrence of complicated appendicitis, prepandemic 313 (18.6%) versus pandemic 389 (24.1%), an absolute difference of 5.5% (adjusted odds ratio, 1.32 [95% CI, 1.1 to 1.59]; P = 0.003). Preoperative SARS-CoV-2 testing was associated with significantly longer time-to-appendectomy, 720 min (interquartile range: 430 to 1,112) with testing versus 414 min (interquartile range: 231 to 770) without testing, adjusted coefficient, 306 min (95% CI, 241 to 371; P < 0.001), and longer hospital length of stay, 31 h (interquartile range: 20 to 83) with testing versus 24 h (interquartile range: 14 to 68) without testing, adjusted coefficient, 7.0 (95% CI, 2.7 to 11.3; P = 0.002). CONCLUSIONS: For children undergoing appendectomy, the COVID-19 pandemic did not significantly impact hospital length of stay.

Guidance on the use of complex systems models for economic evaluations of public health interventions.

To help health economic modelers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modeling projects using these models. A working group of experts in complex systems modeling and economic evaluation was brought together to develop and jointly write guidance for the use of complex systems models for health economic analysis. The content of workshops was informed by a scoping review. A public health complex systems model for economic evaluation is defined as a quantitative, dynamic, non-linear model that incorporates feedback and interactions among model elements, in order to capture emergent outcomes and estimate health, economic and potentially other consequences to inform public policies. The guidance covers: when complex systems modeling is needed; principles for designing a complex systems model; and how to choose an appropriate modeling technique. This paper provides a definition to identify and characterize complex systems models for economic evaluations and proposes guidance on key aspects of the process for health economics analysis. This document will support the development of complex systems models, with impact on public health systems policy and decision making.

Effective alcohol policies are associated with reduced consumption among demographic groups who drink heavily.

BACKGROUND: Alcohol policies stand out among other noncommunicable disease-relevant policies for the lack of uptake. Composite indicators have been developed to measure the effects of alcohol control policy. We investigated whether drinking patterns among demographic groups from general population samples of drinkers from diverse countries are associated with alcohol control policy as measured by the International Alcohol Control (IAC) Policy Index. METHODS: Representative samples of adult drinkers from 10 countries (five high-income and five middle-income) were surveyed about alcohol consumption, using beverage and location-specific questions. MEASUREMENTS: The IAC Policy Index was analyzed with frequency, typical occasion quantity, and volume consumed. Analyses used mixed models that included interactions between country IAC Policy Index score and age group, gender, and education level. FINDINGS: Each increase in IAC policy index score (reflecting more effective alcohol policy) was associated with a 13.9% decrease in drinking frequency (p = 0.006) and a 16.5% decrease in volume (p = 0.001). With each increase in IAC Policy Index score, both genders decreased for all three measures, but men less so than women. Women decreased their typical occasion quantity by 1.2% (p = 0.006), frequency by 3.1% (p < 0.001), and total volume by 4.2% (p < 0.001) compared to men. Low and mid-education groups decreased their typical occasion quantity by 2.6% (p < 0.001) and 1.6% (p = 0.001), respectively, compared to high education, while for drinking frequency the low education group increased by 7.0% (p < 0.001). There was an overall effect of age (F = 19.27, p < 0.0001), with 18-19 and 20-24-year-olds showing the largest decreases in typical occasion quantity with increasing IAC policy index score. CONCLUSIONS: The IAC Policy Index, reflecting four effective policies, was associated with volume and frequency of drinking across 10 diverse countries. Each increase in the IAC Policy Index was associated with lower typical quantities consumed among groups reporting heavy drinking: young adults and less well-educated. There is value in implementing such alcohol policies and a need to accelerate their uptake globally.

Women's alcohol consumption in the early parenting period and influences of socio-demographic and domestic circumstances: A scoping review and narrative synthesis.

ISSUES: Numerous studies have explored alcohol consumption in pregnancy, but less is known about women's drinking in the early parenting period (EPP, 0-5 years after childbirth). We synthesise research related to three questions: (i) How are women's drinking patterns and trajectories associated with socio-demographic and domestic circumstances?; (ii) What theoretical approaches are used to explain changes in consumption?; (iii) What meanings have been given to mothers' drinking? APPROACH: Three databases (Ovid-MEDLINE, Ovid-PsycINFO and CINAHL) were systematically searched. Citation tracking was conducted in Web of Science Citation Index and Google Scholar. Eligible papers explored mothers' alcohol consumption during the EPP, focusing on general population rather than clinical samples. Studies were critically appraised and their characteristics, methods and key findings extracted. Thematic narrative synthesis of findings was conducted. KEY FINDINGS: Fourteen quantitative and six qualitative studies were identified. The (sub)samples ranged from n = 77,137 to n = 21 women. Mothers' consumption levels were associated with older age, being White and employed, not being in a partnered relationship, higher education and income. Three theoretical approaches were employed to explain these consumption differences: social role, role deprivation, social practice theories. By drinking alcohol, mothers expressed numerous aspects of their identity (e.g., autonomous women and responsible mothers). IMPLICATIONS AND CONCLUSION: Alcohol-related interventions and policies should consider demographic and cultural transformations of motherhood (e.g., delayed motherhood, changes in family structures). Mothers' drinking should be contextualised carefully in relation to socio-economic circumstances and gender inequalities in unpaid labour. The focus on peer-reviewed academic papers in English language may limit the evidence.

The effect of alcohol packaging size and strength on U.K. alcohol consumers' classification of alcohol products as containing a single or multiple drinks.

OBJECTIVE: Reductions to the size and strength of alcohol products prompt reductions in alcohol consumption, although these effects may be limited to single drinks rather than packages that contain multiple drinks. This study investigated what product characteristics predict whether a product is seen as a single drink and seeks to identify the thresholds beyond which products are considered to contain multiple drinks. METHOD: Ninety-four U.K. drinkers from the prolific participant panel categorized 250 alcohol products with varying packaging sizes and strengths into single or multiple drinks. We used multilevel logistic regression to investigate whether packaging size, strength, total alcohol content, and container type predicted the likelihood that products were classified as a single drink across five drink types (beer, cider, ready-to-drink, spirits, wine). We used receiver operating characteristics curve analysis to identify the point at which products become too large or too strong to be considered a single drink by most drinkers. RESULTS: Larger products, bottled drinks, products with higher alcohol by volume (ABV), and higher alcohol content were more likely to be classified as containing multiple drinks. We report thresholds for packaging size, ABV, and total alcohol content where products switch from being seen as a single drink to containing multiple drinks. The thresholds did not significantly differ between low-risk and increased risk drinkers. CONCLUSIONS: The reported thresholds can help researchers and policy makers encourage more accurate self-monitoring of alcohol consumption. Future research should test whether single drink classifications moderate the effect of packaging size and strength reductions on alcohol consumption. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Effective alcohol policies and lifetime abstinence: An analysis of the International Alcohol Control policy index.

INTRODUCTION: Alcohol abstinence remains common among adults globally, although low and middle-income countries are experiencing declines in abstention. The effect of alcohol policies on lifetime abstinence is poorly understood. The International Alcohol Control (IAC) policy index was developed to benchmark and monitor the uptake of effective alcohol policies and has shown strong associations with alcohol per capita consumption and drinking patterns. Uniquely, the index incorporates both policy 'stringency' and 'impact', reflecting policy implementation and enforcement, across effective policies. Here we assessed the association of the IAC policy index with lifetime abstinence in a diverse sample of jurisdictions. METHODS: We conducted a cross-sectional analysis of the relationship between the IAC policy index score, and its components, and lifetime abstinence among adults (15+ years) in 13 high and middle-income jurisdictions. We examined the correlations for each component of the index and stringency and impact separately. RESULTS: Overall, the total IAC policy index scores were positively correlated with lifetime abstinence (r = 0.76), as were both the stringency (r = 0.62) and impact (r = 0.82) scores. Marketing restrictions showed higher correlations with lifetime abstinence than other policy domains (r = 0.80), including restrictions on physical availability, pricing policies and drink-driving prevention. DISCUSSION AND CONCLUSION: Our findings suggest that restricting alcohol marketing could be an important policy for the protection of alcohol abstention. The IAC policy index may be a useful tool to benchmark the performance of alcohol policy in supporting alcohol abstention in high and middle-income countries.

Prevalence of COVID-19 and Risk Factors for Infection Among Pediatric Anesthesia Patients: A Report From the PEACOC Research Network.

BACKGROUND: The Pediatric Anesthesia COVID-19 Collaborative (PEACOC) is a research network to advance the care of children during the pandemic. Here we calculate the prevalence of coronavirus disease 2019 (COVID-19) among children undergoing anesthesia, look at prevalence in the population data from the Centers for Disease Control and Prevention (CDC), and assess independent risk factors for infection. METHODS: This was a multicenter, retrospective, observational study. Children aged 28 days to 18 years scheduled for anesthesia services at 12 centers requiring universal COVID-19 testing from March 29, 2020 to June 30, 2020 were included. COVID-19 positivity rates among those tested were plotted and trends were assessed using the Cochran Armitage test of trend. Independent risk factors were explored using multivariable logistic regression. RESULTS: Data were collected and analyzed on 33,320 anesthesia encounters including 265 children with COVID-19. Over the study period, the rates of infections in the pediatric anesthesia population did not demonstrate a significant trend. In the general population, there was a significant downward trend in infection rates ( P < .001). In exploratory analysis, multivariable risk factors for a COVID-19 positive test were Black/African American race, Hispanic ethnicity, American Society of Anesthesiologists (ASA) physical status III or above, overweight and obese body mass index (BMI), orthopedic cases, abdominal cases, emergency cases, absence of injury and trauma, and West region (all P < .05). CONCLUSIONS: Rates of COVID-19 in pediatric anesthesia patients were consistently lower than in the general population. Independent risk factors of a positive test for children were identified. This is the first time universal testing for a single infectious disease was undertaken on a wide scale. As such, the association of infection with surgical case type or emergency case status is unprecedented.