Developmental Analysis of Prospective Effects of Problem Drinking and Health Problems in Three-Age Groups

Past research has clearly demonstrated interrelations between drinking and health. However, little research has investigated this from a lifespan-development perspective, which is the objective of the current study. Our hypotheses predicted results consistent with the familiar “J-shaped curve” of drinking effects on health, including that health problems would be (1) lower in moderate drinkers than abstainers and (2) higher in excessive drinkers than moderate drinkers. We also hypothesized that these protective effects of moderate drinking would increase with age across the lifespan. The current study used two waves of data from a large U.S.-representative sample. Analyses used 3*3 between-persons ANCOVAs that tested a three-level Wave-1 drinking-group factor and a three-level Wave-1 age-group factor. Of particular importance were the drinking-group-by-age interactions. Various Wave-2 health outcomes were predicted in different ANCOVAs, and each ANCOVA controlled for Wave-1 levels of the Wave-2 health outcome. Across nearly all health outcomes, young adults did not show significant differences between abstainers and moderate drinkers, whereas midlife and older adults consistently showed better health for moderate drinking versus abstainers. This suggests that protective effects of moderate drinking apply more-so to midlife and older adults than young adults. Surprisingly, excessive drinkers generally did not show poorer health than moderate drinkers, except for mixed evidence for such effects only among older adults. Thus, only older adults showed patterns entirely consistent with our hypothesized “J-shaped curve.” A next analytic step we will conduct in advance of this poster presentation will assess if alternative excessive-drinking operationalizations more consistently signal health problems.

Lifespan Developmental Analysis of Health Problems and Problem Drinking Across White and Underrepresented Adults

Research has illustrated potential health benefits from moderate drinking, but also health risks from excessive drinking. Few studies have contrasted drinking effects on health across different periods of the lifespan, and how such contrasts may vary across sociodemographic subpopulations. In this study, we investigated underrepresented racial and ethnic group status as a moderator of drinking effects on health across the lifespan. Analyses used data from two waves of a large U.S.-representative sample. We estimated a series of 3*3 between-persons ANOVAs testing effects of Wave-1 drinking group (abstainer, moderate drinkers, and excessive drinkers), age (young adulthood, midlife, and older adulthood), and drinking-group-by-age interactions in White versus underrepresented status. The outcome variable was Wave-2 hypertension (controlling for Wave-1 hypertension). In the older-adult White group, results reflected the familiar “j-shaped” curve of alcohol effects on health. Specifically, abstainers experienced higher hypertension than moderate drinkers (with marginal significance: p=.054), and excessive drinkers experienced higher hypertension than moderate drinkers (p= .002). In contrast, among underrepresented older adults, hypertension levels did not vary significantly by drinking group. Graphical results clarified that the lack of drinking effects among underrepresented older adults reflected that they had similarly elevated hypertension across all three drinking groups, whereas the White older adults only had comparably elevated hypertension in the excessive-drinker group. These findings suggest that the positive health effects of moderate drinking apply primarily to White older adults. Our poster will discuss potential explanations for the apparent lack of health benefits of safe-drinking practices among underrepresented older adults.

962Adolescent Alcohol Use Trajectories: A Prospective Study of Risk Factors and Adulthood AUD Outcomes

Background Adolescents often display heterogenous trajectories of alcohol use. Initiation and escalation of drinking may be an important predictor of later harms. Previous attempts to conceptualise these trajectories lacked adjustment for known confounders of adolescent drinking, which our study has aimed to address by modelling dynamic changes in drinking whilst adjusting for parent, child, and peer factors. Methods Survey data from a longitudinal cohort of Australian adolescents (n = 1813) were used to model latent class alcohol use trajectories over five annual follow-ups (Mage=13.9 and 17.8 years). Regression models determined whether child, parent, and peer factors at baseline (Mage =12.9 years) predicted trajectory membership and whether trajectories predicted self-reported symptoms of AUD in early adulthood (Mage =18.8 years). Results We identified a four-class solution: abstaining (n = 352); late-onset moderate drinking (n = 503); early-onset moderate drinking (n = 663); and early-onset heavy drinking (n = 295). Alcohol-specific household rules reduced risk of early-onset heavy drinking compared to late-onset moderate drinking (RRR: 0.31; 99.5% CI: 0.11, 0.83), whereas substance-using peers increased this risk (RRR: 3.43; 99.5% CI: 2.10, 5.62). Early-onset heavy drinking increased odds of meeting criteria for AUD in early adulthood (OR: 7.68; 99.5% CI: 2.41, 24.47). Conclusions Our study provides evidence that early initiation and heavy alcohol use throughout adolescence is associated with increased risk of alcohol-related harm compared to recommended maximum levels of consumption (late-onset, moderate drinking). Key messages Parenting factors and peer influences in early adolescence should be considered to reduce risk of early initiation and heavy drinking, which in turn reduces risk of later harm.

Clustering of Healthy Behaviors and Related Factors among 19-64 Aged Korean Adults

Objectives: This study was performed to identify and find the clustering of healthy behaviors and the factors related to the clustering among Korean adults aged 19-64.Methods: The data of 9,519 Korean adults aged between 19 and 64 years who participated in the 6th Korea National Health and Nutrition Examination Survey were used as the analysis target. Following the recommendation of the Health Plan 2020 for health-promoting lifestyle, four variables, including nonsmoking, moderate drinking, sufficient physical activity, and healthy diet, were used in the study. The multinomial logistic regression analysis was performed to analyze the relationships among demographic characteristics, health-related characteristics, and clustering of healthy behaviors.Results: The significant elements of healthy behaviors clustering included sufficient physical activities for males, and non-smoking, moderate drinking, and healthy diet for females. Clustering healthy behaviors were higher for “females, the elderly, people with higher level of education, people with higher household income, people with diabetes, and people who perceive their subjective health status is good.Conclusions: In this study, the factors related to the clustering of healthy behaviors were identified. In order to spread the practice of healthy behaviors, multiple interventions are more effective than individual health behaviors.

Food as harm reduction during a drinking session: reducing the harm, or normalising harmful use of alcohol? A comparative analysis of alcohol industry and non-alcohol industry-funded advice

Background: The aim of this study was to critically analyse information concerning the relationship between alcohol and food consumption provided via alcohol industry (AI) funded and non-AI-funded health-oriented websites, to determine the role it plays within the alcohol information space, and how this serves the interests of the disseminating organisations. Methods: Information on food as a harm reduction measure while drinking alcohol was extracted from the websites of 15 AI-funded corporate social responsibility (CSR) organisations. As a comparison group, non-AI-funded health websites were also searched (n=16 websites with food and alcohol-related content). Information on both the webpages themselves, and downloadable information sheets was included. Critical discourse analysis (CDA) was used to allow the text analysed to be situated within the broader political and social context. Analysis was carried out iteratively, involving continuous comparison within and between websites. Discursive themes were identified by three researchers. Identified discursive elements were discussed to reach a consensus, and a final coding framework was then developed. “Tone” analysis was used to assess whether the overall tone within individual websites were considered to be pro-alcohol consumption, neutral or discouraging of alcohol consumption.Results: There were some commonalities across AI and non-AI-funded websites, whereby both appeared to normalise alcohol consumption and to encourage use of food as a measure to enable sustained drinking, to avoid drinking in a way that results in short-term harms, and to prevent or “cure” a hangover. The fact that both AI-funded and non-AI-funded organisations shared many of these narratives is particularly concerning. However, discourse of food and alcohol that served to promote “moderate” drinking as beneficial to health, was used exclusively by AI-funded organisations, focusing on special occasions and individual blaming. Conclusions: Alcohol consumption, including heavy and harmful consumption, is frequently normalised within the online information space. Emphasising food consumption may have the effect of supporting consumers to drink for longer periods of time. Health professionals and independent health organisations should challenge why AI-funded organisations, with a major conflict of interest, and a history of health misinformation, are often given the responsibility for disseminating health information to the public.

Origin, Succession, and Control of Biotoxin in Wine

Wine is a worldwide alcoholic beverage with antioxidant active substances and complex flavors. Moderate drinking of wine has been proven to be beneficial to health. However, wine has some negative components, such as residual pesticides, heavy metals, and biotoxins. Of these, biotoxins from microorganisms were characterized as the most important toxins in wine. Wine fermentation mainly involves alcoholic fermentation, malolactic fermentation, and aging, which endue wine with complex flavors and even produce some undesirable metabolites. These metabolites cause potential safety risks that are not thoroughly understood. This review aimed to investigate the origin, evolution, and control technology of undesirable metabolites (e.g., ochratoxin A, ethyl carbamate, and biogenic amines) in wine. It also highlighted current wine industry practices of minimizing the number of biotoxins in wine.