Cut-off points for screening at-risk drinking by AUDIT-C Korean version at emergency department

Lee, Kyung Wan; Choi, Yoon Hee; Lee, Jae Hee

doi:10.1016/j.tjem.2018.03.001

Cited by 8 publications

(10 citation statements)

References 18 publications

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“…Neumann et al reported that the screening properties of AUDIT are superior to those of biochemical markers such as %CDT, MCV, and GGT for the detection of alcohol problems among trauma patients, and they are not significantly clinically enhanced by the use of biochemical markers [19]. Other previous studies conducted in primary care and ED settings reported that the AUC of AUDIT-C for detecting any alcohol use disorder was > 0.9 for both men and women, which was comparable with the AUC calculated in our study [19, 27, 42, 43]. Consistent with previous findings, our results confirm that AUDIT-C is a useful and an accurate tool to screen for alcohol problems in various clinical settings, and we suggest that AUDIT-C is a reliable tool to detect alcohol problems among suicide attempters.…”

Section: Discussionsupporting

confidence: 82%

Identifying alcohol problems among suicide attempters visiting the emergency department

et al. 2019

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BackgroundMany suicide attempters brought to our emergency department (ED) have been found to have alcohol problems, and this should be taken serious consideration because alcohol use disorder is a risk factor for suicide reattempt. In this study, we aimed to estimate the effectiveness of alcohol-related biochemical markers and Alcohol Use Disorder Identification Test Consumption (AUDIT-C) in suicide attempters who visited our ED based on the gold standard for clinical diagnosis used by psychiatrists for alcohol use disorder. Moreover, we aimed to search for a significant standard when clinicians make correct predictions about alcohol use disorder using these markers.MethodsAmong the subjects who visited ED following a suicide attempt, a total of 203 subjects were selected. Following a psychiatric interview, the subjects who met the criteria for alcohol abuse or alcohol dependence according to DSM-IV-TR in the past year were defined as the “alcohol use disorder” group. Although some subjects did not meet these criteria, men with a weekly alcohol intake of ≥14 drinks and women with a weekly alcohol intake of ≥7 drinks were classified as the “risky drinking” group. AUDIT-C was used as a self-report; further, aspartate aminotransferase, gamma-glutamyltransferase (GGT), and carbohydrate-deficient transferrin (CDT) were assayed using standard methods, and GGT–CDT was calculated using this formula: 0.8 × ln(GGT) + 1.3 × ln(%CDT).ResultsIn total, 88 subjects met the criteria for alcohol use disorder and 115 were included in the reference group. In the screening for alcohol use disorder, the AUC of AUDIT-C was 0.89 for men and 0.87 for women. In the screening for risky drinking, the AUC of AUDIT-C was 0.99 for men and 0.93 for women. Compared with other biochemical markers, AUDIT-C showed the highest AUC value for screening for both alcohol use disorder and risky drinking, with the trend being more prominent in men.ConclusionsAmong the biochemical markers, AUDIT-C yielded the highest sensitivity, specificity, and accuracy in diagnosing alcohol use disorder among suicide attempters in ED. Comparison of results revealed that the use of AUDIT-C with biochemical markers or its use alone can help screen for alcohol use disorder or risky drinking in clinical settings.

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Section: Discussionsupporting

confidence: 82%

Identifying alcohol problems among suicide attempters visiting the emergency department

et al. 2019

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“…Alcohol Consumption Variables: There are different well-established international screening tools for assessing alcohol use among any given population [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ]. Generally, the drinking construct in alcohol consumption surveys is measured in terms of a combination of frequency and quantity of alcohol consumption.…”

Section: Methodsmentioning

confidence: 99%

“…Generally, higher AUDIT-C scores indicate greater likelihood of problem drinking. A score of 0 reflects no alcohol consumption; 3 or more for women and 4 or more for men is positive; 8 or more is an indication of dependency symptoms and harmful alcohol use [ 29 , 36 ]. Based on this guidance, cutoffs were used to convert AUDIT-C composite scores into four mutually exclusive analysis groups that classify survey participants into four risk categories by their frequency and quantity of alcohol consumption based on standardized drink sizes: (a) 0 as “non-drinkers” at no-risk; (b) 1–4 as “light drinkers” at low-risk; (c) 5–8 as “moderate drinkers” at increased-risk; (d) 9–12 as “heavy and frequent drinkers” at severe-risk [ 30 ].…”

Section: Methodsmentioning

confidence: 99%

Associations between Gender, Alcohol Use and Negative Consequences among Korean College Students: A National Study

Rose

Schuckman²,

2020

IJERPH

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This study examines Korean college students’ rates and the severity of various negative consequences resulting from the frequency and quantity of alcohol consumption and the unique factors that are affecting this problem in the Korean context in comparison to other countries. It assesses how much gender, age and other associated respondent characteristics mediate alcohol use and the resulting negative consequences among the population. A stratified representative sample of 4803 valid student respondents attending 82 colleges participated in the alcohol consumption survey, of which 95% reported drinking in past 12 months. Drinking is measured by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screening tool. Based on this test, composite scores for each participant were computed and students were grouped into four risk groups: (a) nondrinkers, (b) light drinkers, (c) moderate drinkers and (d) heavy drinkers. Outcome measures include 21 validated items evaluating self-reported alcohol-related negative consequences. Rates of negative consequences are reported for each drinking risk group stratified by gender. Descriptive statistics, stepwise regression, multivariate linear regression and MANOVA tests were used to analyze the data. The study found that female respondents in the sample who consumed alcohol in the past 12 months drank 11.5 percent less than males (AUDIT-C score μ = 6.0 and 6.7, respectively), and there was a greater proportion of females (5.1 percent) who were nondrinkers than males (4.6 percent). Yet, when females drank, they experienced 11.8 percent more negative consequences on average than males (μ = 1.9 and 1.7, respectively). The study attempts to explain this apparent contradiction. The self-reported rates for many individual negative consequences also varied discernibly by gender. The study concludes with suggestions for how alcohol prevention on Korean college campuses would benefit from targeting females and males differently.

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“…Section two included questions related to social behaviours including intimate partner violence (IPV); alcohol consumption; and tobacco use. Alcohol consumption was assessed using AUDIT-C. which is an internationally recognized brief alcohol screening tool [38]. The tool assesses alcohol consumption by asking three questions focusing on the frequency and level of alcohol consumption.…”

Section: Data Collection Tool and Measuresmentioning

confidence: 99%

Postnatal depression and its social-cultural influences among adolescent mothers: A cross sectional study

Tembo

Portsmouth

Burns

2023

PLOS Glob Public Health

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In rural Malawi, adolescent mothers represent 31% of pregnancies. While some adolescent mothers experience motherhood as an exciting, positive, and affirming experience, for others, it may increase their risk of postnatal depression (PND). Social norms and culture contribute to adolescent mothers’ experiences and may influence their mental health. However, there is limited research around the prevalence of PND and its cultural influences among adolescent mothers. A cross-sectional survey was administered from 7th September 2021 to 31st March 2022. Three hundred and ninety-five adolescent postnatal mothers aged ≤19 were conveniently recruited at Mitundu hospital in Lilongwe, Malawi. The Edinburgh Postnatal Depression Scale was used to assess depression. A cutoff point of ≥ 10 was employed to categorize probable PND. Binary logistic regression was used to determine the predictors of depression. The mean age of participants was 17 (SD 1.157). and 43.6% (n = 172) presented with PND (EPDS scores ≥10). When all factors were considered in a binary logistic model, adolescents who had ever experienced intimate partner violence (IPV) were 13.6 times more likely to report PND after controlling for age and other predictors compared to those without an experience of IPV (aOR 13.6, p = 0.01, 95% CI 2.10–88.9). Participants whose families did not decide for them (regarding their care) were 2.3 times more likely to present with PND than those whose families decided for them (aOR 2.3 p = 0.03, 95% CI 1.04–5.2). Adolescent mothers who had interacted with their health worker were less likely to report PND than those who had no interaction with the health worker (aOR 0.4 P0.02, CI 0.17–0.67). Social and cultural factors can impact mental health of adolescent mothers. It is recommended that targeted and integrated interventions are developed, implemented. and evaluated. There is a need to improve policy and practice to better support adolescent mothers postnatally.

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Cut-off points for screening at-risk drinking by AUDIT-C Korean version at emergency department

Cited by 8 publications

References 18 publications

Identifying alcohol problems among suicide attempters visiting the emergency department

Identifying alcohol problems among suicide attempters visiting the emergency department

Associations between Gender, Alcohol Use and Negative Consequences among Korean College Students: A National Study

Postnatal depression and its social-cultural influences among adolescent mothers: A cross sectional study

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