Validation and proposal for cut-off values of an abbreviated version of the Alcohol Use Disorder Identification Test using the Korean National Health and Nutrition Examination Survey

Association between sleep patterns and alcohol use disorders in workers

Alcohol use among workers that is intended to aid sleep may lead to alcohol use disorders. This study aimed to explore the association between sleep patterns and alcohol use disorders in workers. Data from the Korea National Health and Nutrition Examination Survey conducted in 2014, 2016, 2018, and 2020 were used for this study. We included only workers aged 19 years and older. The final analysis comprised 11,972 respondents (6,472 male and 5,500 female). Multiple logistic regression analysis was used to investigate the relationship between sleep patterns and alcohol use disorders. Workers with poor sleep patterns were more likely to develop alcohol use disorders compared to those with good sleep patterns (male: adjusted odds ratio [OR] 1.22, 95% confidence interval 1.07-1.39; female: adjusted OR 1.21, 95% CI 1.03-1.41). Workers with both poor sleep quality and less than seven hours of sleep had the highest odds of alcohol use disorders in both male (adjusted OR 1.73, 95% CI 1.38-2.17) and female (adjusted OR 1.44, 95% CI 1.13-1.84). Poor sleep patterns were associated with alcohol use disorders in male who work night shift (OR: 1.74, 95% CI: 1.25-2.42) and in female who worked more than 52 hours per week (adjusted OR: 1.71, 95% CI: 1.04-2.80). Customized sleep management programs should be provided to workers in sleep-deprived working environments to prevent them from developing alcohol use disorders.

Sex differences in the association between social jetlag and hazardous alcohol consumption in Korean workers: A nationwide cross-sectional study

BACKGROUND

Social jetlag, the misalignment between biological and social rhythms, can lead to adverse health outcomes. This study explored the association between social jetlag and hazardous alcohol consumption, as well as the sex differences in this association.

METHODS

This study included a nationally representative sample of Korean workers consisting of 11,462 individuals (5479 women). Social jetlag was calculated as the difference in the mid-point between sleep onset and offset on free days and workdays. Hazardous alcohol consumption was determined using the Alcohol Use Disorder Identification Test-Consumption (range 0-12), with a cutoff of ≥6 for men, ≥5 for women, and ≥3 for those aged ≥65. Logistic regression analysis was used to estimate the odds ratios (ORs) and 95 % confidence intervals (CIs).

RESULTS

Among men, 599 out of 5983 individuals (10.0 %) had ≥120 min of social jetlag. Among women, 550 out of 5479 individuals (10.0 %) had ≥120 min of social jetlag. The prevalence of hazardous alcohol use was 56.2 % for men and 27.3 % for women. In the regression analysis, there was a significant sex interaction, where social jetlag ≥120 min was associated with hazardous alcohol consumption in female workers (OR: 1.52, 95 % CI: 1.18-1.96), but not in male workers (OR: 1.04, 95 % CI: 0.84-1.29).

CONCLUSION

High social jetlag was associated with an increased likelihood of hazardous alcohol consumption among women. Our findings underscore the importance of considering sex differences in future research and policy interventions regarding social jetlag and its associated behavior outcomes.

Is alcohol and psychoactive medication use associated with excess hospital length-of-stay and admission frequency? A cross-sectional, observational study

BACKGROUND

Hospital length-of-stay and admission frequency are commonly used indicators of disease burden and health resource expenditures. However, the impact of psychoactive prescription medication use and harmful alcohol consumption on both the duration and frequency of hospital admissions is under-explored.

METHODS

We conducted an analysis of data gathered from 2872 patients admitted to the Emergency Department at Lovisenberg Diaconal Hospital in Oslo, Norway. Psychoactive medicines (benzodiazepines, opioids, and z-hypnotics) were detected via liquid chromatography-mass spectrometry analysis of whole blood, while alcohol consumption was self-reported through the Alcohol Use Disorder Identification Test-4 (AUDIT-4). Using logistic regression, we examined associations with our primary outcomes, which were excess length-of-stay and admission frequency, defined as exceeding the sample median of 3.0 days and 0.2 admissions per year, respectively.

RESULTS

Compared to the absence of psychoactive medication, and after adjusting for age, gender, malignant disease, pre-existing substance use disorder and admission due to intoxication, the detection of two or more psychoactive medicines was associated with both excess length-of-stay (odds ratio [OR], 1.60; 95% confidence interval [CI], 1.20 to 2.14) and yearly hospitalization rate (OR, 3.72; 95% CI, 2.64 to 5.23). This association persisted when increasing the definition for excess length-of-stay to 4 and 5 days and to 1.0 and 1.5 admissions per year for admission frequency. Harmful alcohol consumption (AUDIT-4 scores of 9 to 16) was not associated with excess length-of-stay, but with excess admission frequency when defined as more than 1.0 admission per year when compared to scores of 4 to 6 (OR, 2.68; 95% CI, 1.58 to 4.57).

CONCLUSIONS

Psychoactive medication use is associated with both excess length-of-stay and increased antecedent admission frequency, while harmful alcohol consumption may be associated with the latter. The utility of our findings as a causal factor should be explored through intervention-based study designs.

Age at onset of alcohol consumption and its association with alcohol misuse in adulthood

OBJECTIVE

This study aimed to explore the association between early age onset of alcohol consumption and alcohol misuse in adulthood.

METHODS

The study sample consisted of 16 829 individuals' (8349 males, 8435 females) survey responses obtained from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2016 through 2019. Alcohol dependence was measured using the AUDIT-C (Alcohol Use Disorder Identification Test-Consumption), and the ages at which alcohol consumption began were grouped into four categories: under 16, 16 to 18, 19 to 23, and over 24. Multiple logistic regression was used to examine the association between current alcohol misuse and age at onset of alcohol consumption.

RESULTS

Compared to individuals who started drinking alcohol after the age of 24, those who began drinking alcohol before the age of 16 were more likely to score 8 or more on AUDIT-C questions (under 16: males, odds ratio [OR] 2.50, confidence interval [CI] 1.97-3.17; females, OR: 1.66, CI: 1.18-2.33). Similar to the main analysis, the earlier the onset of alcohol assumption starts, the more likely one is to develop alcohol misuse in adulthood according to subgroup analysis stratified by independent variables in both gender.

CONCLUSION

The lower the age at the onset of alcohol consumption, the higher the likelihood of alcohol misuse in adulthood. While both males and females showed the same trend in response to the AUDIT-C questions, males tended to have a stronger association between early onset alcohol consumption and alcohol misuse.

A new monocyte epigenetic clock reveals nonlinear effects of alcohol consumption on biological aging in three independent cohorts (N = 2242)

BACKGROUND

Assessing the effect of alcohol consumption on biological age is essential for understanding alcohol use-related comorbidities and mortality. Previously developed epigenetic clocks are mainly based on DNA methylation in heterogeneous cell types, which provide limited knowledge on the impacts of alcohol consumption at the individual cellular level. Evidence shows that monocytes play an important role in both alcohol-induced pathophysiology and the aging process. In this study, we developed a novel monocyte-based DNA methylation clock (MonoDNAmAge) to assess the impact of alcohol consumption on monocyte age.

METHODS

A machine learning method was applied to select a set of chronological age-associated DNA methylation CpG sites from 1202 monocyte methylomes. Pearson correlation was tested between MonoDNAmAge and chronological age in three independent cohorts (N_total  = 2242). Using the MonoDNAmAge clock and four established clocks (i.e., HorvathDNAmAge, HannumDNAmAge, PhenoDNAmAge, GrimDNAmAge), we then evaluated the effect of alcohol consumption on epigenetic aging in the three cohorts [i.e., Yale Stress Center Community Study (YSCCS), Veteran Aging Cohort Study (VACS), Women's Interagency HIV Study (WIHS)] using linear and quadratic models.

RESULTS

The MonoDNAmAge, comprised of 186 CpG sites, was moderately to strongly correlated with chronological age in the three cohorts (r = 0.90, p = 3.12E-181 in YSCCS; r = 0.54, p = 1.75E-96 in VACS; r = 0.66, p = 1.50E-60 in WIHS). More importantly, we found a nonlinear association between MonoDNAmAge and alcohol consumption (p_model  = 4.55E-08, px2  = 7.80E-08 in YSCCS; p_model  = 1.85E-02, px2  = 3.46E-02 in VACS). Heavy alcohol consumption increased EAA_MonoDNAmAge up to 1.60 years while light alcohol consumption decreased EAA_MonoDNAmAge up to 2.66 years. These results were corroborated by the four established epigenetic clocks (i.e., HorvathDNAmAge, HannumDNAmAge, PhenoDNAmAge, GrimDNAmAge).

CONCLUSIONS

The results suggest a nonlinear relationship between alcohol consumption and its effects on epigenetic age. Considering adverse effects of alcohol consumption on health, nonlinear effects of alcohol use should be interpreted with caution. The findings, for the first time, highlight the complex effects of alcohol consumption on biological aging.

Are short AUDIT screeners effective in identifying unhealthy drinking of varying severity? A prison population study

BACKGROUND

Whether brief versions of the Alcohol Use Disorder Identification Test (AUDIT) can be used as graded severity measures is largely unknown. We examined the performance of eight such brief screeners in a prison population, and compared their effectiveness in detecting hazardous drinking, harmful drinking, and possible alcohol dependence as classified by the full ten-item AUDIT.

METHODS

The study sample included pre-prison drinkers who participated in the Norwegian Offender Mental Health and Addiction (NorMA) study (n = 758). We conducted receiver operating characteristic curve (ROC) analyses and estimated the area under the curve (AUROC) to assess the performance of AUDIT-C (three consumption items) and four-item versions that consisted of AUDIT-C and one additional item.

RESULTS

AUDIT-C performed very well in detecting unhealthy drinking of varying severity (AUROCs of 0.933 or 0.935). Four-item versions performed even better. Of these, the well-established AUDIT-4 was superior in identifying harmful drinking (AUROC=0.969) and possible alcohol dependence (AUROC=0.976). For AUDIT-C, the optimal cut-points in terms of the highest combined sensitivity and specificity were ≥ 6 (hazardous drinking), ≥ 8 (harmful drinking) and ≥ 8 or ≥ 9 (possible dependence). The corresponding cut-points on AUDIT-4 were ≥ 6, ≥ 9 and ≥ 10. The highest cut-point whereby all cases of possible dependence were identified was ≥ 6 on AUDIT-C and ≥ 8 on AUDIT-4. At these cut-points, almost all individuals with harmful drinking were also detected.

CONCLUSIONS

AUDIT-C and AUDIT-4 were both highly effective in detecting hazardous drinking, harmful drinking and possible alcohol dependence. AUDIT-4 was superior, notably as a graded severity measure.

Circular RNA expression alteration identifies a novel circulating biomarker in serum exosomal for detection of alcohol dependence

Alcohol dependence (AD) is one of the most common and detrimental neuropsychological disorders. Recently, more and more studies have focused on circular RNA as markers for central nervous system (CNS) diseases. The present study was conducted to evaluate the circular RNA expression alteration in serum exosomal and to identify a novel circulating biomarker for the detection of AD. We first isolated exosomes from serum and then investigated the circRNA expression alterations by high throughput whole transcriptome sequencing. The data were then analyzed using bioinformatics methods. Moreover, we verified the circRNA-seq by qRT-PCR. Furthermore, we analyzed the correlations between the levels of hsa_circ_0004771 and both Severity of Alcohol Dependence Questionnaire (SADQ) and Alcohol Dependence Scale (ADS). The diagnostic value of hsa_circ_0004771 in AD patients was evaluated by receiver operating characteristic (ROC). In this study, 254 differentially expressed circRNAs were identified, with 149 upregulated and 105 downregulated. GO analysis showed that these differentially expressed circRNAs from exosomes might be associated with the regulation of neuron projection and axon regeneration. KEGG analysis revealed that T cell receptor signaling and antigen processing and presentation pathway had a regulating effect on upstream levels. We found that hsa_circ_0004771 was related to the severity of AD. The AUC for the diagnostic value of hsa_circ_0004771 in AD patients was 0.874. These findings indicated that circRNA in serum exosomes provide novel targets for further research on molecular mechanisms of AD. Among these, hsa_circ_0004771 may be a sensitive biomarker that was related to the severity of AD.

DNA methylation signature on phosphatidylethanol, not on self-reported alcohol consumption, predicts hazardous alcohol consumption in two distinct populations

The process of diagnosing hazardous alcohol drinking (HAD) is based on self-reported data and is thereby vulnerable to bias. There has been an interest in developing epigenetic biomarkers for HAD that might complement clinical assessment. Because alcohol consumption has been previously linked to DNA methylation (DNAm), we aimed to select DNAm signatures in blood to predict HAD from two demographically and clinically distinct populations (Ntotal = 1,549). We first separately conducted an epigenome-wide association study (EWAS) for phosphatidylethanol (PEth), an objective measure of alcohol consumption, and for self-reported alcohol consumption in Cohort 1. We identified 83 PEth-associated CpGs, including 23 CpGs previously associated with alcohol consumption or alcohol use disorder. In contrast, no CpG reached epigenome-wide significance on self-reported alcohol consumption. Using a machine learning approach, two CpG subsets from EWAS on PEth and on self-reported alcohol consumption from Cohort 1 were separately tested for the prediction of HAD in Cohort 2. We found that a subset of 143 CpGs selected from the EWAS on PEth showed an excellent prediction of HAD with the area under the receiver operating characteristic curve (AUC) of 89.4% in training set and 73.9% in validation set of Cohort 2. However, CpGs preselected from the EWAS on self-reported alcohol consumption showed a poor prediction of HAD with AUC 75.2% in training set and 57.6% in validation set. Our results demonstrate that an objective measure for alcohol consumption is a more informative phenotype than self-reported data for revealing epigenetic mechanisms. The PEth-associated DNAm signature in blood could serve as a robust biomarker for alcohol consumption.

A Deep Learning Algorithm to Predict Hazardous Drinkers and the Severity of Alcohol-Related Problems Using K-NHANES

Purpose: The number of patients with alcohol-related problems is steadily increasing. A large-scale survey of alcohol-related problems has been conducted. However, studies that predict hazardous drinkers and identify which factors contribute to the prediction are limited. Thus, the purpose of this study was to predict hazardous drinkers and the severity of alcohol-related problems of patients using a deep learning algorithm based on a large-scale survey data. Materials and Methods: Datasets of National Health and Nutrition Examination Survey of South Korea (K-NHANES), a nationally representative survey for the entire South Korean population, were used to train deep learning and conventional machine learning algorithms. Datasets from 69,187 and 45,672 participants were used to predict hazardous drinkers and the severity of alcohol-related problems, respectively. Based on the degree of contribution of each variable to deep learning, it was possible to determine which variable contributed significantly to the prediction of hazardous drinkers. Results: Deep learning showed the higher performance than conventional machine learning algorithms. It predicted hazardous drinkers with an AUC (Area under the receiver operating characteristic curve) of 0.870 (Logistic regression: 0.858, Linear SVM: 0.849, Random forest classifier: 0.810, K-nearest neighbors: 0.740). Among 325 variables for predicting hazardous drinkers, energy intake was a factor showing the greatest contribution to the prediction, followed by carbohydrate intake. Participants were classified into Zone I, Zone II, Zone III, and Zone IV based on the degree of alcohol-related problems, showing AUCs of 0.881, 0.774, 0.853, and 0.879, respectively. Conclusion: Hazardous drinking groups could be effectively predicted and individuals could be classified according to the degree of alcohol-related problems using a deep learning algorithm. This algorithm could be used to screen people who need treatment for alcohol-related problems among the general population or hospital visitors.

Vitamin D deficiency and suicidal ideation: A cross-sectional study of 157,211 healthy adults

OBJECTIVES

Vitamin D deficiency has been reported to be associated with various neuropsychiatric disorders. However, there are few studies addressing deficient vitamin D levels and suicidal ideation.

METHODS

Serum vitamin D of 157,211 Korean adult participants were measured using electrochemiluminescence immunoassay. A self-reported questionnaire was used to assess whether participants experienced suicidal ideation. Logistic regression model was used to estimate the odds ratio (OR) of suicidal ideation according to vitamin D levels. The regression was adjusted for a range of covariates.

RESULTS

Compared with sufficient vitamin D levels (≥20 ng/mL), deficient vitamin D levels (<10 ng/mL) were significantly associated with the risk of suicidal ideation (OR = 1.138, 95% Cl = 1.027-1.262). However, the OR of suicidal ideation was not significantly different between the vitamin D insufficient group (10-19.99 ng/mL) and sufficient group (≥20 ng/mL) (OR = 0.988, 95% Cl = 0.932-1.047).

CONCLUSION

Deficient vitamin D levels were significantly associated with the risk of suicidal ideation. However, the risk of suicidal ideation was not significantly different between the vitamin D insufficient group and sufficient group.