Abstract:Background: The low level of response (LR) to alcohol is a genetically influenced characteristic related to the development of alcohol use disorders (AUDs). This phenotype is found in men with a family history (FH) of alcoholism, predicts future AUDs, and has heritabilities as high as 60%. However, despite evidence of genetic influences for AUDs in both sexes, the majority of studies evaluating differences in LR across high-and low-risk groups have been conducted on males, and it is unclear how generalizable t… Show more
“…To develop 2 groups for comparison, a median split (SHAS median = 4.85) was performed to classify participants as having a low level of response (n = 5; mean 3.51 ± 0.98 SD) versus a high level of response (n = 5; mean 10.57 ± 3.56 SD) to alcohol based on SHAS responses 27 minutes after alcohol administration, just before entering the FMRI scanner (overall mean 7.04 ± 4.46 SD). These values are comparable with previous studies on level of response to similar doses of alcohol using the SHAS, with low-level responders here falling toward the lower end of previously published ranges (e.g., Eng et al, 2005;Schuckit et al, 2000). A repeated-measures multivariate ANOVA, with condition ( placebo or alcohol) and working memory load (2-, 4-, or 6-dot) as within-subjects factors, analyzed the behavioral measures and neural activation patterns in areas that showed a significant condition by working memory load interaction.…”
Background-A low level of response to alcohol is a major risk factor for the development of alcohol dependence, but neural correlates of this marker are unclear.
“…To develop 2 groups for comparison, a median split (SHAS median = 4.85) was performed to classify participants as having a low level of response (n = 5; mean 3.51 ± 0.98 SD) versus a high level of response (n = 5; mean 10.57 ± 3.56 SD) to alcohol based on SHAS responses 27 minutes after alcohol administration, just before entering the FMRI scanner (overall mean 7.04 ± 4.46 SD). These values are comparable with previous studies on level of response to similar doses of alcohol using the SHAS, with low-level responders here falling toward the lower end of previously published ranges (e.g., Eng et al, 2005;Schuckit et al, 2000). A repeated-measures multivariate ANOVA, with condition ( placebo or alcohol) and working memory load (2-, 4-, or 6-dot) as within-subjects factors, analyzed the behavioral measures and neural activation patterns in areas that showed a significant condition by working memory load interaction.…”
Background-A low level of response to alcohol is a major risk factor for the development of alcohol dependence, but neural correlates of this marker are unclear.
“…This may refl ect the facts that females weigh less, have less body water, and metabolize alcohol a bit slower than males and, thus, have a higher BAC per drink consumed (Eng et al, 2005). In all models, gender also related to alcohol outcomes either directly or via mediation by PEER.…”
ABSTRACT. Objective: The low level of response (LR) to alcohol is an endophenotype related to heavier drinking and alcohol problems. Structural equation models (SEMs) indicate LR affects alcohol outcomes (ALCOUT) both directly and through mediation by drinking in peers (PEER), alcohol expectancies (EXPECT), and drinking to cope with stress (COPE), with some variation depending on the sample tested. This article presents the fi rst full test of this LR-based model in young subjects from the Collaborative Study on the Genetics of Alcoholism (COGA). Method: Data were generated from 325 12-to 22-year-old (47.4% male) drinking offspring from COGA families, using the SelfReport of the Effects of Alcohol questionnaire to determine LR early in the drinking career and a validated, structured interview for demography and alcohol use/problem patterns. Standardized questionnaires were used to measure PEER, EXPECT, and COPE, with the model tested through the maximum likelihood estimation for analyses of the variance/covariance matrix using both Amos and Mplus. Results: The SEM yielded good fi t characteristics and explained 59% of the variance, with LR relating both directly to ALCOUT and as partially mediated by PEER and COPE. Although GENDER related to both LR and ALCOUT in the model, and AGE related to ALCOUT, the SEM results were invariant across both AGE and GENDER, with generally similar invariant results regarding the presence or absence of an alcohol-use disorder diagnosis.
Conclusions:The results support the applicability of the LR-based model of heavy drinking and alcohol problems in the COGA offspring, a group with different demography compared with the two other samples of adolescents tested to date. The modest differences observed across samples will be evaluated in future research to enhance understanding of how the model operates across socioeconomic groups. (J. Stud. Alcohol Drugs 70: [436][437][438][439][440][441][442][443][444][445] 2009)
“…A low level of response to alcohol is more common in both men and women with a first-degree family history of an AUD (Eng et al, 2005;Schuckit and Smith, 1996). This relationship has been found across ethnic groups, including Caucasians, Hispanics, and Native Americans (Ehlers et al, 1999;Schuckit et al, , 2006.…”
Objective-Koreans have higher rates of alcohol-use disorders and family history of alcoholism, compared with Chinese. These differences likely reflect both environmental and genetic influences. One genetically influenced characteristic that may contribute to these ethnic differences is level of response to alcohol. Variant alleles of aldehyde dehydrogenase (ALDH2) and alcohol dehydrogenase (ADH1B) genes are prevalent in individuals of Asian heritage and have been associated with an increased level of response to alcohol and a decreased risk for alcohol dependence. Additionally, a low level of response to alcohol is more common in individuals with a first-degree family history of alcoholism and is predictive of increased risk for this disorder. It also is possible that sociocultural factors have an impact on an individual's response to alcohol. The current study examined self-report level of response to alcohol, ALDH2 and ADH1B, country of origin, and family history of alcoholism in 154 Chinese-and 181 Korean-American college students.Method-Participants were evaluated via in-person interviews and genotyped at the ALDH2 and ADH1B loci.Results-Ethnicity was significantly related to level of response to alcohol, with Koreans having a lower self-reported level of response than Chinese. This relationship remained significant after considering the effects of gender, height, weight, quantity and frequency of alcohol consumption (over the previous 90 days), ALDH2 genotype, ADH1B genotype, country of origin, and first-degree family history of alcohol dependence.
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