Alcohol (Hanover, York County, Pa.)最新文献

Background: Prior research has shown that early alcohol experiences, such as age of initiation and speed of progression between drinking milestones, vary across racial/ethnic groups. To inform culturally tailored prevention efforts, this longitudinal study examined racial/ethnic differences in the associations of drinking firsts at home and with parental knowledge with alcohol use outcomes among underage youth.

Methods: The study included baseline and five follow-up surveys, collected every 6 months, from California adolescents (ages 12-16 years at baseline). The analytic sample was composed of the 689 adolescents who reported lifetime alcohol use at baseline or a follow-up survey (5% Black, 37% Latinx, 46% White, and 12% other/mixed racial/ethnic group; 54% female). Participants who reported consumption of a full drink, intoxication, or heavy episodic drinking (HED) were asked ages and contexts of these drinking firsts, including whether the initiation was at their own home and whether their parents/guardians knew about this drinking event. Outcomes included past-6-month alcohol frequency, alcohol quantity, and number of alcohol-related problems. Multilevel negative binomial regression analyses were conducted, controlling for demographics and age of initiation by type of drinking behavior. Moderation analyses examined racial/ethnic differences.

Results: For consumption of the first full drink, both drinking at home and parental knowledge were negatively associated with all outcomes; associations did not vary by race/ethnicity. First intoxication at own home was negatively associated with the number of drinks for Latinx youth and with the number of problems for Black youth. For first HED, drinking at own home was positively associated with drinking frequency across groups, and for Black youth specifically, parental knowledge of their first HED experience was significantly associated with greater later alcohol frequency and quantity.

Conclusions: Results suggest that the association of family contexts of drinking first with later alcohol outcomes among underage youth varied by stage of alcohol use and race/ethnicity.

Background: Delay discounting describes the devaluation of future outcomes over time and is a popular behavioral construct in addiction research. Prior studies show modest yet consistent associations between problematic alcohol use and delayed reward discounting (DRD). However, the potential confounding influence of socioeconomic status (SES, e.g., income and education) is rarely addressed. In this study, we aimed to investigate the robustness of DRD as a predictor of alcohol use after controlling for socioeconomic and demographic variables. Additionally, we aimed to test the association between delayed loss discounting (DLD) and alcohol use in a sufficiently large sample.

Methods: We collected data from 341 moderate-to-heavy-drinking participants (27.92 ± 21.12 g alcohol/day, 43.48 ± 11.90 years old, 49.9% female, UK residents) in a cross-sectional online study. DRD and DLD were measured using an intertemporal choice task. Questionnaires encompassed alcohol use (AUDIT, weekly alcohol consumption), education and income, subjective measures of past and present socioeconomic status, and impulsivity.

Results: DRD, but not DLD, was significantly associated with AUDIT scores (r = 0.15) and weekly alcohol consumption (r = 0.12). DRD remained a significant yet weak predictor of AUDIT scores when controlling for education and income, but not when controlling for education and age.

Conclusions: We replicated a small but robust association between alcohol use and DRD, but not DLD. This association appeared to be confounded by education and age, but not by income. We conclude that socioeconomic and demographic variables should systematically be accounted for in future studies investigating DRD and alcohol use.

Background: People with HIV (PWH) are at increased risk for cardiometabolic comorbidities. We have reported that lifetime alcohol use among people with HIV (PWH) is associated with increased risk for metabolic syndrome. Dysfunctional adipose tissue and altered circulating adipokines mediate metabolic dysregulation. The objective of this study was to determine the associations of circulating adipokine concentration with metabolic measures, and the moderating effects of lifetime and recent alcohol use in PWH.

Methods: This is a cross-sectional analysis of data from 357 PWH at their baseline visit of the longitudinal New Orleans Alcohol and HIV (NOAH) study. The concentrations of four circulating adipokines (adiponectin, leptin, resistin, and fatty acid-binding protein 4 [FABP4]) and their associations with five metabolic measures (triglycerides, cholesterol, Hemoglobin A1c, Homeostatic Model Assessment for Insulin Resistance, and metabolic syndrome) were examined.

Results: Higher circulating adiponectin was associated with increased odds of normal triglyceride, cholesterol, and Hemoglobin A1c levels. Increased leptin and FABP4 concentrations were associated with decreased odds of normal triglyceride and cholesterol levels. Increased leptin and FABP4 concentrations were associated with increased odds of insulin resistance and meeting criteria for metabolic syndrome. Increased circulating resistin concentration was associated with decreased odds of normal triglyceride levels and increased odds of meeting criteria for metabolic syndrome. Additionally, among PWH with increased lifetime alcohol use, higher adiponectin concentration was associated with decreased odds of meeting criteria for metabolic syndrome.

Conclusions: These data suggest the interplay between adiponectin, leptin, FABP4, and resistin may contribute to metabolic stability among PWH. Moreover, lifetime, but not recent, alcohol use moderates the relationship between adipokines and metabolic measures. These data highlight the relevance of functional adipose tissue mass and associated circulating adipokine levels in maintaining metabolic homeostasis, and its moderation by lifetime alcohol consumption.

Background: Alcohol is a commonly used substance associated with significant public health consequences. Treatment is often stigmatized and limited with regard to both access and affordability, demonstrating the need for innovations in alcohol treatment. Accelerometer sensors can detect drinking without user input and are widely incorporated into wearable devices, increasing accessibility and affordability.

Methods: We compared a distributional and random forest classification approach to detect and evaluate sensor-based drinking data. Data were collected at a local state fair (n = 194), where participants drank water at specified intervals interspersed with confounding behaviors (e.g., touching nose, rubbing forehead, or yawning) while wearing an Android-based smartwatch for 10 min. Participants were randomized to receive one of three drinking container shapes: pint, martini, or wine.

Results: The random forest model achieved an overall testing accuracy of 93% (sensitivity = 0.32; specificity = 0.99; positive predictive value = 0.74). The distributional algorithm achieved an overall accuracy of 95% (sensitivity = 0.76; specificity = 0.97; positive predictive value = 0.72). The distributional algorithm had a significantly greater accuracy (t(193) = 7.73, p < 0.001, d = 0.56) and sensitivity (t(193) = 24.5, p < 0.001, d = 1.76). Equivalency testing demonstrated significant equivalency to the ground truth for sip duration (t_lower(193) = 16.92, p < 0.001; t_upper(193) = -9.85, p < 0.001) and between-sip interval (t_lower(193) = 1.72, p = 0.044; t_higher(193) = -3.96, p < 0.001). However, the random forest did not have significant equivalency to the ground truth for between-sip interval (t_lower(193) = 1.98, p = 0.025; t_higher(193) = 0.160, p = 0.564).

Conclusions: Overall, the results indicated that consumer-grade smartwatches can be utilized to detect and measure alcohol use behavior using machine learning and distributional algorithms. This work provides the methodological foundation for future research to analyze the behavioral pharmacology of alcohol use and develop accessible just-in-time clinical interventions.