Journal articles: 'High-intensity drinking'

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Dash, Genevieve F., Christal N. Davis, Nicholas G. Martin, Dixie J. Statham, Michael T. Lynskey, and Wendy S. Slutske. "High‐Intensity Drinking in Adult Australian Twins." Alcoholism: Clinical and Experimental Research 44, no. 2 (January 13, 2020): 522–31. http://dx.doi.org/10.1111/acer.14262.

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Morris, James Keoni, Julia E. Swan, Josh L. Gowin, Melanie L. Schwandt, Nancy Diazgranados, and Vijay A. Ramchandani. "3376 Super Bingers: Traits and Patterns Associated with High-Intensity Drinking." Journal of Clinical and Translational Science 3, s1 (March 2019): 154–55. http://dx.doi.org/10.1017/cts.2019.354.

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OBJECTIVES/SPECIFIC AIMS: This study attempts to evaluate the drinking patterns and traits of individuals who partake in high intensity drinking, defined as binge drinking at 2 or more times the minimum binge count (4 drinks for females, 5 drinks for males). METHODS/STUDY POPULATION: We analyzed data from non-treatment seeking volunteers enrolled in NIAAA screening protocols. The sample included 706 males and 474 females ranging in age from 18 to 91. Subjects were assigned to one of four groups (Non-Binge, Level 1, Level 2, Level 3) based on the highest binge session reported in their Timeline Followback questionnaire. The criteria for each group were different for males and females based on the current NIAAA definitions of binge drinking. The cutoffs for females were 0-3 drinks for Non-Binge, 4-7 drinks for Level 1, 8-11 drinks for Level 2, and 12+ drinks for Level 3. The male drink cutoffs were 0-4, 5-9, 10-14, and 15+ respectively. We looked at various drinking measures (Timeline Followback, Self-Reported Effects of Alcohol (SRE), Alcohol Use Disorders Identification Test (AUDIT)) and trait measures (UPPS-P Impulsivity Scale, Barratt’s Impulsiveness Scale, Buss Perry Aggression Questionnaire) to identify mean differences between groups. RESULTS/ANTICIPATED RESULTS: There were significant differences in drinking patterns between the groups for both males and females. Number of drinking days, average drinks per drinking day, and number of heavy drinking days all increased as binge level increased. There were also significant differences between groups in males for trait measures. Level 2 and Level 3 bingers scored significantly higher on impulsivity and aggression than the Level 1 and Non-Binge groups. Ongoing analyses are examining differences among binge groups on other measures including SRE and AUDIT. Future analyses will explore potential mechanisms underlying the relationships between trait measures and binge drinking using structural equation modeling. DISCUSSION/SIGNIFICANCE OF IMPACT: This study found significant differences between high-intensity drinkers, or “super bingers”, and lighter binge and non-binge drinkers. Super bingers showed an overall heavier drinking pattern across measures. The elevated aggression, impulsivity, and overall heavy drinking patterns of super bingers suggest a behavioral profile that makes this group in particular at higher risk for developing alcohol use disorder and related problems. These traits and behaviors may also help identify targets for treatment interventions for alcohol use disorder.

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Patrick, Megan E., and Yvonne M. Terry‐McElrath. "Drinking Motives and Drinking Consequences across Days: Differences and Similarities between Moderate, Binge, and High‐Intensity Drinking." Alcoholism: Clinical and Experimental Research 45, no. 5 (April 2, 2021): 1078–90. http://dx.doi.org/10.1111/acer.14591.

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Bonar, Erin E., Mariam A. Souweidane, Frederic C. Blow, Amy S. B. Bohnert, José A. Bauermeister, Sean D. Young, and Maureen A. Walton. "High-intensity drinking among adolescent and emerging adult risky drinkers." Substance Abuse 43, no. 1 (January 31, 2022): 713–21. http://dx.doi.org/10.1080/08897077.2021.2007513.

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Morris, James Keoni, Josh L. Gowin, Melanie L. Schwandt, Nancy Diazgranados, and Vijay A. Ramchandani. "4288 Identifying Predictive Variables of High-Intensity Binge Drinking Through the Use of a Machine Learning Algorithm." Journal of Clinical and Translational Science 4, s1 (June 2020): 135. http://dx.doi.org/10.1017/cts.2020.399.

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OBJECTIVES/GOALS: To test if a machine learning algorithm could predict a person’s capacity to binge drink and explore what measures might be important for identifying individuals at risk for high-intensity binge drinking behaviors. METHODS/STUDY POPULATION: The sample included 1177 (474 female) non-treatment-seeking drinkers (age: 18-91 years), that were assigned to a group based on their heaviest drinking day reported in a 90-Day Alcohol Timeline Followback questionnaire. The groups were Non-Bingers (female: 12 drinks, male:>15 drinks). The sample was divided into a training sample (N = 884) and a testing sample (N = 293). A machine learning algorithm called random forest was then used to generate a predictive model based on measures of substance use, personality traits, and trauma. The model was applied to the testing sample to determine accuracy. RESULTS/ANTICIPATED RESULTS: The first model correctly assigned 190 out of 293 subjects, giving it a total error rate of 0.35, with lowest rates for non-binge (0.19) and high-intensity (0.18), while medium-intensity had the highest error rate (0.86). The most important variables for the accuracy of the model included: total score on the Alcohol Use Disorder Identification Test, first five sub-score of the Self-Reported Effects of Alcohol, Compulsive Drinking subscale, and presence of a current psychiatric diagnosis. As a follow-up analysis, we built and tested another random forest model without the use of drinking dependence measures. This model had a total error rate of 0.39, and introduced other important variables such as smoking behaviors, perceived stress, IQ, and number of negative life events. DISCUSSION/SIGNIFICANCE OF IMPACT: Our study showed that it was possible for a machine learning algorithm to predict binge drinking intensity better than chance. Drinking patterns were the most robust predictors, and stress, IQ, and psychiatric diagnoses were also useful in predicting binge drinking intensity.

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Patrick, Megan E., and Yvonne M. Terry-McElrath. "High-intensity drinking by underage young adults in the United States." Addiction 112, no. 1 (September 22, 2016): 82–93. http://dx.doi.org/10.1111/add.13556.

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Patrick, Megan E., Rebecca Evans-Polce, Anna C. Wagner, and Christopher J. Mehus. "High-intensity drinking by parental status: Differences by age and sex." Addictive Behaviors 102 (March 2020): 106180. http://dx.doi.org/10.1016/j.addbeh.2019.106180.

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Cheng, Wan-Ju, Mikko Härmä, Aki Koskinen, Mika Kivimäki, Tuula Oksanen, and Ming-Chyi Huang. "Intraindividual association between shift work and risk of drinking problems: data from the Finnish Public Sector Cohort." Occupational and Environmental Medicine 78, no. 7 (January 22, 2021): 465–71. http://dx.doi.org/10.1136/oemed-2020-107057.

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ObjectivesStudies concerning the association between shift work and drinking problems showed inconsistent results. We used data from a large occupational cohort to examine the association between shift work and different types of drinking behaviour.MethodsA total of 93 121 non-abstinent workers from the Finnish Public Sector Study were enrolled in the study. Six waves of survey data were collected between 2000 and 2017. Work schedules were categorised as regular day, non-night shift and night shift work, and shift intensities were calculated from registered working hour data. Two indicators of adverse drinking behaviour were measured: at-risk drinking (>7 and >14 drinks per week in women and men, respectively) and high-intensity drinking (measured as pass-out experience). Intraindividual analysis was conducted using fixed-effects regression to examine the association between shift work and drinking behaviours.ResultsCompared with regular day work, night shift work was associated with an increased risk of high-intensity drinking (OR 1.28, 95% CI 1.07 to 1.52) but a lower risk of at-risk drinking (OR 0.85, 95% CI 0.74 to 0.99). Shift workers who worked long shifts had a lower risk of at-risk drinking compared with those who rarely worked long shifts (OR 0.58, 95% CI 0.37 to 0.93).ConclusionsAssociations between shift work and alcohol use vary according to drinking patterns. Workers engaged in high-intensity drinking more often during night shift schedules compared with day work, but did not drink averagely higher volume.

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Patrick, Megan E., and Yvonne M. Terry-McElrath. "Prevalence of High-Intensity Drinking from Adolescence through Young Adulthood: National Data from 2016-2017." Substance Abuse: Research and Treatment 13 (January 2019): 117822181882297. http://dx.doi.org/10.1177/1178221818822976.

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High-intensity drinking (HID; ie, having 10+ drinks in a row) is a recognized public health concern due to the individual and public risks (eg, alcohol-related injuries, alcohol poisoning, memory loss, sexual risk) associated with consumption of a large quantity of alcohol over a relatively short time period. Using nationally representative samples of US 8th, 10th, and 12th grade students, and follow-up of subsamples of 12th graders, we present overall and sex-specific prevalence estimates of past 2-week HID from 29 966 individuals at the modal ages of 14 to 30 in 2016-2017. Similar data for the more commonly studied measure of binge drinking (having 5+ drinks in a row) is provided for comparison. HID prevalence ranged from 1% to 11.5% and was significantly higher for males than females at all ages other than modal age 14 (8th grade). Binge drinking prevalence ranged from 3.5% to 32.5%; males reported a higher prevalence than females at approximately half of the ages examined. Peak binge drinking and HID age for males was earlier (modal age 21/22) than that for females (modal age 21-24 for binge drinking and 25/26 for HID). The observed rapid increase in HID from adolescence through the early to mid-20s highlights the importance of prevention and intervention efforts targeted to these ages.

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Drabble, Laurie A., Amy A. Mericle, Walter Gómez, Jamie L. Klinger, Karen F. Trocki, and Katherine J. Karriker-Jaffe. "Differential Effects of State Policy Environments on Substance Use by Sexual Identity: Findings From the 2000–2015 National Alcohol Surveys." Annals of LGBTQ Public and Population Health 2, no. 1 (March 1, 2021): 53–71. http://dx.doi.org/10.1891/lgbtq-2020-0029.

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Introduction: This study explored whether structural stigma, defined by U.S. state policies related to sexual minority rights, moderated the relationship between sexual identity identity and heavy drinking, alcohol problems, and marijuana use among men and women. Methods: Using combined data from the National Alcohol Survey (NAS) series (2000, 2005, 2010, and 2015), the sample included 11,115 men (421 sexual minority and 10,694 heterosexual) and 14,395 women (413 sexual minority and 13,982 heterosexual). State policy environment was assessed using a time-varying dichotomous indicator of comprehensive protections for sexual minorities (4–6 protections vs. limited or no protections). Gender-stratified logistic regression analyses examined the differential effect of the policy environment by sexual identity on three past-year substance use outcomes: high-intensity drinking (8+ drinks/day), any DSM-5 alcohol use disorder, and marijuana use. Results: Among women, sexual minority status was associated with increased odds of all alcohol and marijuana use outcomes. Among men, sexual minority status was associated with decreased odds of high-intensity drinking but increased use of marijuana. Comprehensive policy protections were associated significantly decreased odds of high-intensity drinking among sexual minority men and marginally significant decreases among women. Conclusions: Comprehensive policy protections appear to be protective for high-intensity drinking among sexual minority men and women. Findings underscore the importance of supportive policies in reducing risk of alcohol-related problems among sexual minorities.

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Votaw, Victoria R., Elena R. Stein, and Katie Witkiewitz. "A Longitudinal Mediation Model of Negative Emotionality, Coping Motives and Drinking Intensity Among Individuals Receiving Community Treatment for Alcohol Use Disorder." Alcohol and Alcoholism 56, no. 5 (March 29, 2021): 573–80. http://dx.doi.org/10.1093/alcalc/agab012.

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Abstract Aims Negative emotionality is a key domain in frameworks measuring heterogeneity in alcohol use disorder (AUD), such as the Addictions Neuroclinical Assessment (ANA). Recent research has examined the construct validity of the ANA negative emotionality domain, but has not examined whether this domain demonstrates predictive validity for drinking outcomes. In this study, we examined the association between self-reported negative emotionality at baseline and drinking intensity 1 year following AUD treatment initiation. We also assessed whether coping motives for alcohol use at 6 months following treatment initiation and changes in coping motives mediated this association. Methods This was a secondary data analysis of a multisite prospective study of individuals entering AUD treatment (n = 263; 61.6% male; mean age = 33.8). Measures of coping motives and drinking intensity captured those who experienced a lapse to drinking. The associations between the ANA negative emotionality domain, coping motives and drinking intensity over time were assessed using a latent growth curve mediation model. Results The ANA negative emotionality domain at baseline was indirectly associated with greater 7–12-month drinking intensity through higher coping motives at 6 months. Negative emotionality was not related to change in coping motives over the assessment period and change in coping motives was not related to 7–12-month drinking intensity. Conclusions This analysis provides evidence for the predictive validity of the ANA negative emotionality domain for coping motives and drinking intensity among treatment seekers who experienced a lapse to drinking. Coping motives may be an important target in AUD treatment among those high in negative emotionality.

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Linden‐Carmichael, Ashley N., Brian H. Calhoun, Megan E. Patrick, and Jennifer L. Maggs. "University students use fewer protective behavioural strategies on high‐intensity drinking days." Drug and Alcohol Review 38, no. 3 (February 19, 2019): 302–5. http://dx.doi.org/10.1111/dar.12913.

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Ramchandani, Vijay, James Morris, Julia Swan, Joshua Gowin, Bethany Stangl, Melanie Schwandt, Falk Lohoff, and Nancy Diazgranados. "S205. “Super Bingers”: Traits and Consumption Patterns Associated With High-Intensity Drinking." Biological Psychiatry 85, no. 10 (May 2019): S376—S377. http://dx.doi.org/10.1016/j.biopsych.2019.03.956.

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Choi, Hyung-yeol, Chang-hyun Jang, and Soo-yeon Kim. "National Health Examination Metabolic Syndrome Item and Health Behavior Analysis." Asian Journal of Kinesiology 22, no. 4 (October 31, 2020): 1–10. http://dx.doi.org/10.15758/ajk.2020.22.4.1.

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OBJECTIVES The purpose of this study is to investigate the relationship between the habits of physical activities in several intensities, drinking, and smoking of the general public who live in the S city and diabetes, high blood pressure, high-density lipoprotein cholesterol, plasma triglyceride, and waist circumference of them.METHODS For research, residents of 2,438,370 in S city were selected by using the big data of health checkups sheets that were conducted by the National Health Insurance Corporation in 2017. Physical activities were classified into three groups by intensity. The part of drinking was divided into three groups of non-alcohol, low, and high-drinking people. There were four groups in smoking of non-smoking, the group that smoke lower than the half pack of cigarettes per day, the half to one pack, and more than one pack. Metabolic syndrome frequency analysis and logistic regression analysis were used for this research.RESULTS Compared to the low-intensity physical activity group, the high-intensity group had 0.992, 0.954, 0.871, 0.83, and 0.878 times of lower risk in fasting plasma glucose, blood pressure, high density lipoprotein (HDL-C), plasma triglycerides, and abnormal waist circumference. High drinking group had more risk of fasting plasma glucose, blood pressure, HDL-C, plasma triglyceride, and abnormal waist circumference by 1.326, 1.894, 1.334, 2.125 and 1.263 times than non-drinking group. The group who smoked more than one pack a day had more risk of fasting plasma glucose, blood pressure, HDL-C, plasma triglyceride, and abnormal waist circumference by 1.971, 1.225, 3.229, 2.871, and 1.522 times than the group of non-smoking.CONCLUSION The subjects who did not have risk factors for metabolic syndrome were 29.7%. The average of patients with metabolic syndrome was 25.2%, of which males were 30.3%, and females were 20.1% of them. Metabolic syndrome factors were proved statistically valid. In the physical activity group, the high-intensity physical activity group had a lower risk of metabolic syndrome factors than the low and medium-intensity physical activity groups. The high-drinking group had a higher risk of metabolic syndrome in triglycerides, and the smoking group who smoked more than one pack per day had a higher risk of metabolic syndrome in high-density lipoprotein cholesterol.

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Mozgovaya, L. A., E. Yu Sivak, D. Yu Sosnin, M. S. Gavrilenko, N. B. Fokina, and S. V. Mozgovaya. "Features of dental status in senior schoolchildren depending on mineral composition of drinking water." Perm Medical Journal 38, no. 2 (March 15, 2021): 79–87. http://dx.doi.org/10.17816/pmj38279-87.

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Objective. Hygienic assessment of the quality of drinking water from two rivers, Kama and Chusovaya, which supply the city of Perm, was carried out. Water in them is different in mineral composition, but similar in terms of anthropogenic pollution. Materials and methods. Dental status was determined in 142 schoolchildren aged 15-17 years old, who use water from different sources. The concentration of total calcium and magnesium in the oral fluid was determined for all schoolchildren. Results. The study found that the degree of mineralization of drinking water affects the mineral composition of the saliva. Schoolchildren, who use drinking water of low mineralization, have a low concentration of calcium and magnesium in the saliva and a high intensity of dental caries. Schoolchildren, who use drinking water of increased mineralization, have a high concentration of calcium and magnesium in the saliva, a low intensity of dental caries and a high intensity of periodontal diseases due to an increased formation of tartar. Treatment and preventive measures, carried out among schoolchildren, included the drug Complivit, plates CM 1, low-intensity laser light. Conclusions. The effectiveness of treatment and preventive measures was determined by the activity of the oral fluid enzymes before and after the course of treatment.

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Linden-Carmichael, Ashley N., Sara A. Vasilenko, Stephanie T. Lanza, and Jennifer L. Maggs. "High-Intensity Drinking Versus Heavy Episodic Drinking: Prevalence Rates and Relative Odds of Alcohol Use Disorder Across Adulthood." Alcoholism: Clinical and Experimental Research 41, no. 10 (September 5, 2017): 1754–59. http://dx.doi.org/10.1111/acer.13475.

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Linden-Carmichael, Ashley N., and Stephanie T. Lanza. "Drinking Patterns of College- and Non-College-Attending Young Adults: Is High-Intensity Drinking Only a College Phenomenon?" Substance Use & Misuse 53, no. 13 (April 19, 2018): 2157–64. http://dx.doi.org/10.1080/10826084.2018.1461224.

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Owolabi, Eyitayo Omolara, Daniel Ter Goon, Oladele Vincent Adeniyi, and Eunice Seekoe. "Adult binge drinking: rate, frequency and intensity in Buffalo City Metropolitan Municipality, South Africa." South African Family Practice 60, no. 2 (June 7, 2018): 46–52. http://dx.doi.org/10.4102/safp.v60i2.4867.

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Background: Binge drinking (BD) is a significant risk factor for several acute and chronic illnesses, including injuries. This study examines the rate, frequency and intensity of BD in Buffalo City Metropolitan Municipality (BCMM), South Africa.Methods: This was a cross-sectional survey of 998 adults attending the three largest outpatient clinics in BCMM. Rate, frequency and intensity of BD were assessed using the WHO STEPwise questionnaire. Descriptive and inferential statistics were carried out to determine the rate and determinants of binge drinking.Results: The overall rate of BD was 15.0%. Frequency and intensity of BD were 5.4 episodes per month and 13.4 drinks on one occasion, respectively. The study data showed that BD was commoner in males than females (24.0% vs. 10.8%). Smokers engagemore in BD than non-smokers (44.0% vs. 9.9%). In the analysis of socio-demographic variables, BD was commonest among students, age group 18–25 years, those never married and those on incomes between 2001 and 5000 Rand per month. In themultivariate logistic regression, after adjusting for confounders, only age less than 25 years (p 0.001) and male gender (p 0.001) were significant predictors of binge drinking. Also, male gender (p = 0.002) was significantly associated with frequency of BD. There was no significant gender variation in the intensity of BD. Only age and smoking were significantly associated with the intensity of BD.Conclusion: The rate of binge drinking was high among the study participants, and those who binge drink tend to do so frequently and at a high intensity. Women who binge drink also do so at a high intensity. There is a need for sensitisation campaigns and health advocacy talks on the dangers associated with binge drinking among young adults in this setting.

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Patrick, Megan E., Yvonne M. Terry-McElrath, Richard A. Miech, Patrick M. O’Malley, John E. Schulenberg, and Lloyd D. Johnston. "Current High-Intensity Drinking Among Eighth and Tenth Grade Students in the U.S." American Journal of Preventive Medicine 53, no. 6 (December 2017): 904–8. http://dx.doi.org/10.1016/j.amepre.2017.06.027.

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Rosoff, Daniel B., Katrin Charlet, Jeesun Jung, Jisoo Lee, Christine Muench, Audrey Luo, Martha Longley, Kelsey L. Mauro, and Falk W. Lohoff. "Association of High-Intensity Binge Drinking With Lipid and Liver Function Enzyme Levels." JAMA Network Open 2, no. 6 (June 14, 2019): e195844. http://dx.doi.org/10.1001/jamanetworkopen.2019.5844.

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Jandrić-Kočić, Marijana, and Snežana Knežević. "Influence of alcohol drinking forms on development of depression, anxiety and somatic disorder in the area of Krupa na Uni." Medicinski glasnik Specijalne bolnice za bolesti štitaste žlezde i bolesti metabolizma 26, no. 82 (2021): 15–27. http://dx.doi.org/10.5937/medgla2182015j.

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Introduction: Alcohol consumption can lead to different psychiatric pathologies, both during maintenance of the addictive cycle and after abstinence is established. Objective: The study aimed to examine the existence of a statistically significant association of drinking patterns alcohol with the intensity of anxiety, depression and somatic disorders in alcohol users. Methods: The study was performed as a cross-sectional study at the Health Center Krupa na Uni in the period from 01.10.2018. to 01.06.2019. The sample consisted of 110 randomly selected patients consuming alcohol, 35 (31.8%) women and 75 (68.2%) men, with an average age of 51 ± 1.9 years. The survey used the following questionnaires: Alcohol Use Disorders Identification Test, Generalized Anxiety Disorder, Patient Health Questionnaire, Beck's Depression Inventory. The chi-square test was used in the data analysis. Results: Low-risk drinking was verified in 36 (32.7%) of respondents, high-risk drinking in 50 (45.5%) of them. Harmful drinking was found in 20 (18.2%) of respondents, alcohol abuse in 4 (3.6%) of them. Symptoms of anxiety were 85 (77. 3%) of respondents. The same number of subjects had somatic problems. 66 (60.0%) of the study participants were depressed. There was a statistically significant association of drinking patterns with the intensity of anxiety and depression (p <0.05). In the case of somatic disorders, the same was not verified (p> 0.05) Conclusion: The pattern of drinking alcohol is consistent with the intensity of anxiety disorders. Harmful drinking alcohol results in intense somatic distress, while alcohol abuse is not statistically significantly associated with the same. The intensity of depression is correlated with the pattern of drinking alcohol. The obtained results are in accordance with researchers from other countries.

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Swan, Julia, Joshua L.Gowin, Bethany L. Stangl, and Vijay A. Ramchandani. "3294 HIGH INTENSITY BINGE DRINKING AND STIMULATING EFFECTS IN HUMAN LABORATORY STUDIES OF ALCOHOL SELF-ADMINISTRATION." Journal of Clinical and Translational Science 3, s1 (March 2019): 145–46. http://dx.doi.org/10.1017/cts.2019.331.

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OBJECTIVES/SPECIFIC AIMS: Alcohol use disorder (AUD) has previously been studied using Timeline Followback (TLFB) interview measures and administration of alcohol within laboratory sessions. However, most of those studies supplied alcohol orally and analyzed drinking across a range of drinking intensity and frequency measures. High intensity binge drinking, i.e., drinking alcohol at multiple levels of the binge threshold (5+ drinks for males, 4+ drinks for females) has been identified as a significant risk factor for developing AUD. In the present study, we examined the relationship between high intensity binge drinking with the behavioral and subjective response to intravenous alcohol in a lab study. METHODS/STUDY POPULATION: Two hundred participants completed a 90-Day TLFB interview, wherein the maximum number of drinks in a day established the participant’s binge level status as a Non-Binger (N = 37), Binge Level 1 (N = 96), Binge Level 2 (N = 44), or Binge Level 3 (N = 22). Binge Level 1 corresponds with at least one binge (4-7 drinks for women, 5-9 drinks for men); Binge Level 2 requires at least twice the binge level (8-11 drinks for women, 10-14 drinks for men); and Level 3 necessitates a participant to drink at least three times the binge level (12+ drinks for women, 15+ drinks for men) on one day. Non-Bingers had no binge level drinking in the 90-day interview. Participants also underwent a 150-minute intravenous-alcohol self-infusion, where participants would press a button to receive an infusion of an ethanol solution. During this, participants also completed subjective questionnaires including the Alcohol Urge Questionnaire (AUQ), Biphasic Alcohol Effects Scale (BAES), and Drug Effects Questionnaire (DEQ). Kruskal-Wallis and chi-square tests were used to examine the effect of group on alcohol infusion and subjective response measures. RESULTS/ANTICIPATED RESULTS: A chi-square test for association showed significant statistical differences by groups in reaching binge level status (0.08% breath alcohol content) during the alcohol infusion session in the lab, X2 (3) = 23.321, p < 0.001. However, mean difference was not significantly different between Binge Level 2 and Binge Level 3 (0 < 1 < 2 = 3). Binge level groups showed significant differences in the number of button presses during the lab session (H(3) = 36.955, p < 0.001), peak breath alcohol concentration in the lab session (H(3) = 19.870, p < 0.001), and total binges in the TLFB (H(3) = 90.296, p < 0.001). Increased self-administration measures were proportional to the binge intensity level across groups, with no differences between Binge Level 2 and Binge Level 3 (0 < 1 < 2 = 3). For subjective measures, a Kruskal-Wallis H median test showed statistically significant differences between groups in the AUQ score following the priming infusion, H(3) = 11.489, p = 0.009, with bingers at all levels reporting higher scores compared to non-bingers (0 < 1 = 2 = 3). There was also a statistically significant difference between groups in the BAES Stimulation score following the priming infusion, H(3) = 9.023, p = 0.029, with differences seen between non-bingers and level 2 and level 3 bingers (0 = 1 < 2 = 3). DISCUSSION/SIGNIFICANCE OF IMPACT: This study demonstrated that high intensity binge drinkers were more likely to reach binge level and overall greater alcohol consumption during a human lab alcohol administration study. Binge intensity level was also associated with higher stimulation and urge for alcohol following priming exposures, which may in turn drive the consumption of greater amounts of alcohol, which we know to be associated with greater risk for AUD.

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Mushayabasa, Steady. "The Role of Optimal Intervention Strategies on Controlling Excessive Alcohol Drinking and Its Adverse Health Effects." Journal of Applied Mathematics 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/238784.

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We propose and analyze a mathematical model for alcohol drinking problem. The transmission process is modeled as a social “contact” process between “heavy” alcohol drinkers and “light” alcohol drinkers within an unchanging shared drinking environment. The basic reproductive number of the model is computed and the stability of the model steady states is investigated. Further, the model is fitted to data on alcohol drinking for Cape Town and Gauteng, South Africa. In addition, the basic model is extended to incorporate three time dependent intervention strategies. The control functions represent the efforts and policies aimed at weakening the intensity of social interactions between light and heavy drinkers and increase the fraction of treated individuals who permanently quit alcohol drinking. Optimal control results suggest that effective control of high-risk alcohol drinking can be achieved if more resources and efforts are devoted on weakening the intensity of social interactions between light and heavy drinkers.

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Merrill, Jennifer E., Holly K. Boyle, Gabriela López, Mary Beth Miller, Nancy P. Barnett, Kristina M. Jackson, and Kate B. Carey. "Contextual factors associated with high‐intensity drinking events among young adults: A qualitative inquiry." Alcoholism: Clinical and Experimental Research 45, no. 6 (May 17, 2021): 1317–30. http://dx.doi.org/10.1111/acer.14623.

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Fish, Jessica N., John E. Schulenberg, and Stephen T. Russell. "Sexual Minority Youth Report High-Intensity Binge Drinking: The Critical Role of School Victimization." Journal of Adolescent Health 64, no. 2 (February 2019): 186–93. http://dx.doi.org/10.1016/j.jadohealth.2018.07.005.

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Fish, Jessica N., Tonda L. Hughes, and Stephen T. Russell. "Sexual identity differences in high-intensity binge drinking: findings from a US national sample." Addiction 113, no. 4 (November 2, 2017): 749–58. http://dx.doi.org/10.1111/add.14041.

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Holl, Julia, Sebastian Wolff, Maren Schumacher, Anja Höcker, Elisabeth A. Arens, Gabriela Spindler, Malte Stopsack, et al. "Substance use to regulate intense posttraumatic shame in individuals with childhood abuse and neglect." Development and Psychopathology 29, no. 3 (June 13, 2016): 737–49. http://dx.doi.org/10.1017/s0954579416000432.

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AbstractChildhood abuse and neglect (CAN) is considered as a risk factor for substance use disorder (SUD). Based on the drinking to cope model, this study investigated the association of two trauma-relevant emotions (shame and sadness) and substance use. Using ecological momentary assessment we compared real-time emotion regulation in situations with high and low intensity of shame and sadness in currently abstinent patients with CAN and lifetime SUD (traumaSUD group), healthy controls with CAN (traumaHC group), and without CAN (nontraumaHC group). Multilevel analysis showed a positive linear relationship between high intensity of both emotions and substance use for all groups. The traumaSUD group showed heightened substance use in low, as well as in high, intensity of shame and sadness. In addition, we found an interaction between type of emotion, intensity, and group: the traumaHC group exhibited a fourfold increased risk for substance use in high intense shame situations relative to the traumaSUD group. Our findings provide evidence for the drinking to cope model. The traumaSUD group showed a reduced distress tolerance for variable intensity of negative emotions. The differential effect of intense shame for the traumaHC group emphazises its potential role in the development of SUD following CAN. In addition, shame can be considered a relevant focus for therapeutic preinterventions and interventions for SUD after CAN.

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Klitynska, Oksana V., Natalia V. Hasiuk, Volodymyr І. Struk, Roksolana Yu Kruchak, Viacheslav R. Gurando, and Vasyl V. Bobelskyi. "THE QUALITY OF DRINKING WATER AS A FACTOR IN THE FORMATION OF DENTAL PATHOLOGY OF THE HARD TISSUES OF THE TEETH IN CHILDREN." Wiadomości Lekarskie 74, no. 5 (2021): 1120–24. http://dx.doi.org/10.36740/wlek202105113.

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The aim: A study of the impact of drinking water quality on the state of dental health in schoolchildren who permanently live in areas of biogeochemical deficiency of fluorine and iodine. Material and methods: The composition of the drinking water of the city of Uzhhorod and the city of Rakhiv has been investigated. The prevalence and intensity of dental caries in children is determined, drinking water is taken in accordance with Uzhhorod and Rakhiv. Results: The regional features of the composition of drinking water of the mountain Rakhivsky district of the Transcarpathian region are the high variety of combinations of mineral components and the frequent excess of the normative content of dry residue components, namely nitrates, sulfates, chlorides, magnesium and calcium.Water oxidation, total stiffness and total alkalinity were significantly different. The established drinking water quality indicators have a direct dependence on the prevalence and intensity of dental caries in children, that is, a significant increase in the number of carious temporary, carious and distant permanent teeth and a decrease in filled temporary and permanent teeth (p < 0. 05) were diagnosed. Conclusions: One of the most pressing problems in water hygiene is the urgent need to review and improve regulations, State sanitary regulations, standards and other regulations in the field of drinking water, including through the development of regional drinking water quality standards.

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Korolev, Yury N., Lyubov V. Mikhailik, and Lyudmila A. Nikulina. "Drinking Mineral Water and Low-Intensity Electromagnetic Radiation Combinational Effect on Rat Testes in Metabolic Syndrome: а Randomized Controlled Study." Bulletin of Rehabilitation Medicine 21, no. 6 (December 30, 2022): 127–33. http://dx.doi.org/10.38025/2078-1962-2022-21-6-127-133.

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INTRODUCTION. To correct disorders in the male reproductive system organs in the metabolic syndrome, it seems reasonable to use a combined effect of natural and artificial therapeutic physical factors – drinking mineral water and low-intensity electromagnetic interference of ultrahigh frequency – on an experimental model of this disease. These factors have antioxidant, cytoprotective and regenerative effects and can have a wide range of effects on various adaptation and protective regulatory mechanisms. AIM. To reveal the development of metabolic and structural adaptation-protective reactions in rat testes under the combined effect of drinking sulphate mineral water and low-intensity electromagnetic radiation microwave in experimental simulation of metabolic syndrome. MATERIAL AND METHODS. The experiments were performed on 26 nonlinear male rats weighing 180-200g. The metabolic syndrome model was reproduced for 60 days using a high-caloric diet. The rats were divided into 3 groups: 1st (experimental)-rats received drinking sulfate mineral water in combination with microwave electromagnetic radiation against the background of a high-calorie diet; 2nd (control) – rats received only a high-calorie diet; 3rd (intact) – rats without any influences. Research methods: biochemical, lightoptical, morphometric, electron microscopy. Significance of differences was assessed by Student's t-test. RESULTS AND DISCUSSION. It was found that the combinational effect of drinking sulfate mineral water and low-intensity electromagnetic radiation microwave contributed to the enhancement of a number of adaptive and protective reactions in the testes of rats against the background of a high-caloric diet. They were mainly manifested in the activation of antioxidant protection and protein synthesis, improvement of spermatogenic cells differentiation processes and increase in their number, enhancement of cellular and intracellular regeneration. CONCLUSION. The data obtained can be used in the development of new approaches to the methods of adaptation-protective and compensatory-restorative processes enhancement in the organs of the male reproductive system in metabolic syndrome.

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Terry-McElrath, Yvonne M., and Megan E. Patrick. "Intoxication and binge and high-intensity drinking among US young adults in their mid-20s." Substance Abuse 37, no. 4 (April 19, 2016): 597–605. http://dx.doi.org/10.1080/08897077.2016.1178681.

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Patrick, Megan E., Yvonne M. Terry-McElrath, Deborah D. Kloska, and John E. Schulenberg. "High-Intensity Drinking Among Young Adults in the United States: Prevalence, Frequency, and Developmental Change." Alcoholism: Clinical and Experimental Research 40, no. 9 (August 4, 2016): 1905–12. http://dx.doi.org/10.1111/acer.13164.

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Fish, Jessica N. "Sexual Orientation-Related Disparities in High-Intensity Binge Drinking: Findings from a Nationally Representative Sample." LGBT Health 6, no. 5 (July 2019): 242–49. http://dx.doi.org/10.1089/lgbt.2018.0244.

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Byrnes, Joshua, Anthony Shakeshaft, Dennis Petrie, and Christopher Doran. "Can harms associated with high-intensity drinking be reduced by increasing the price of alcohol?" Drug and Alcohol Review 32, no. 1 (June 20, 2012): 27–30. http://dx.doi.org/10.1111/j.1465-3362.2012.00482.x.

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Mehus, Christopher J., and Megan E. Patrick. "Alcohol use among 10th-graders: Distinguishing between high-intensity drinking and other levels of use." Journal of Adolescence 83 (August 2020): 27–30. http://dx.doi.org/10.1016/j.adolescence.2020.07.004.

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Affan, Rifqi O., Siyuan Huang, Stephen M. Cruz, Lee A. Holcomb, Edward Nguyen, and Ksenija Marinkovic. "High-intensity binge drinking is associated with alterations in spontaneous neural oscillations in young adults." Alcohol 70 (August 2018): 51–60. http://dx.doi.org/10.1016/j.alcohol.2018.01.002.

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Terry-McElrath, Yvonne M., Stephanie A. Stern, and Megan E. Patrick. "Do alcohol use reasons and contexts differentiate adolescent high-intensity drinking? Data from U.S. high school seniors, 2005–2016." Psychology of Addictive Behaviors 31, no. 7 (November 2017): 775–85. http://dx.doi.org/10.1037/adb0000314.

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Fairlie, Anne M., Jennifer M. Cadigan, Megan E. Patrick, Mary E. Larimer, and Christine M. Lee. "Unplanned Heavy Episodic and High-Intensity Drinking: Daily-Level Associations With Mood, Context, and Negative Consequences." Journal of Studies on Alcohol and Drugs 80, no. 3 (May 2019): 331–39. http://dx.doi.org/10.15288/jsad.2019.80.331.

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Patrick, Megan E., Jessica M. Cronce, Anne M. Fairlie, David C. Atkins, and Christine M. Lee. "Day-to-day variations in high-intensity drinking, expectancies, and positive and negative alcohol-related consequences." Addictive Behaviors 58 (July 2016): 110–16. http://dx.doi.org/10.1016/j.addbeh.2016.02.025.

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Chung, J., Y. Yoon, M. Kim, S. B. Lee, H. J. Kim, and C. K. Choi. "Removal of radio N-nitrosodimethylamine (NDMA) from drinking water by coagulation and Powdered Activated Carbon (PAC) adsorption." Drinking Water Engineering and Science Discussions 2, no. 1 (March 31, 2009): 79–100. http://dx.doi.org/10.5194/dwesd-2-79-2009.

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Abstract. The presence of N-nitrosodimethylamine (NDMA) in drinking water supplies has raised concern over its removal by common drinking water treatment processes. A simple detection method based on scintillation spectroscopy has been used to quantify the concentration of 14C-labeled NDMA at various ratios of sample to scintillation liquid. Without sample pretreatment, the method detection limits are 0.91, 0.98, 1.23, and 1.45 ng/L of NDMA at scintillation intensity ratios of 10:10, 5:15, 15:5, and 2.5:17.5 (sample: scintillation liquid), respectively. The scintillation intensity in all cases is linear (R2>0.99) and is in the range of 0 to 100 ng/L of NDMA. In addition, because scintillation intensity is independent of solution pH, conductivity, and background electrolyte ion types, a separate calibration curve is unnecessary for NDMA samples at different solution conditions. Bench-scale experiments were performed to simulate individual treatment processes, which include coagulation and adsorption by powdered activated carbon (PAC), as used in a drinking water treatment plant, and biosorption, a technique used in biological treatment of waste water. The commonly used coagulation process for particulate control and biosorption is ineffective for removing NDMA (<10% by coagulation and <20% by biosorption). However, high doses of PAC may be applied to remove NDMA.

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Chen, H., X. H. Che, Z. J. Bi, and Z. S. Tian. "Research on a small-scale drinking water quality detection system based on detection of laser-induced fluorescence." Journal of Physics: Conference Series 2226, no. 1 (March 1, 2022): 012002. http://dx.doi.org/10.1088/1742-6596/2226/1/012002.

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Abstract In this paper a small-scale drinking water quality detection system that can be used for real-time evaluation of Dissolved Organic Matter (DOM) and Total Dissolved Solids (TDS) is presented. The DOM detection is based on the principle that the intensity of the laser-induced fluorescence signal is proportional to the DOM concentration. In experiment, the DOM concentration of sodium humate solution and the TDS value of NaCl solution are tested, respectively. In addition, drinking water and tap water before and after purification are also detected by the system. The quality of purified water is significantly higher than that before purification. Detection results obtained in our laboratory indicate that the system described in this paper can detect the organic and inorganic contents of drinking water. Advantages of our system are small volume, high sensitivity and high precision.

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Bollen, Zoé, Nicolas Masson, Samuel Salvaggio, Fabien D’Hondt, and Pierre Maurage. "Craving is everything: An eye-tracking exploration of attentional bias in binge drinking." Journal of Psychopharmacology 34, no. 6 (March 23, 2020): 636–47. http://dx.doi.org/10.1177/0269881120913131.

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Background: Attentional bias towards alcohol-related stimuli is a core characteristic of severe alcohol use disorders (AUD), directly linked to clinical variables (e.g. alcohol consumption, relapse). Nevertheless, the extent of this bias in subclinical populations remains poorly documented. This is particularly true for binge drinking, an alcohol consumption pattern highly prevalent in youth, characterised by an alternation between excessive intakes and withdrawal periods. Aims: We used eye-tracking to: (a) measure attentional bias in binge drinking, (b) determine its time course by dissociating early/late processing stages, (c) clarify its specificity for alcohol-related stimuli compared to other appetitive stimulations and (d) explore its modulation by current craving intensity. Methods: Binge drinkers ( n=42) and matched controls ( n=43) performed a visual probe task, requiring visual targets preceded by pairs of pictures to be processed, with three conditions (i.e. alcohol vs. soft drink, alcohol vs. high-calorie food, high-calorie food vs. low-calorie food). Results: No group difference was observed for early processing (i.e. first area of interest visited). Dwell times highlighted a bias towards soft drinks and healthy food among controls, without any global bias towards alcohol in binge drinkers. Centrally, a comparison of binge drinkers with low versus high current craving intensity indicated that binge drinking was associated with a bias towards alcohol and high-calorie food only in the presence of a high craving towards these stimuli. Conclusion: Attentional bias towards alcohol reported in severe AUD is only found in binge drinkers in the presence of high craving and is generalised to other appetitive cues.

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Fabbricino, M., and G. V. Korshin. "Probing the mechanisms of NOM chlorination using fluorescence: formation of disinfection by-products in Alento River water." Water Supply 4, no. 4 (December 1, 2004): 227–33. http://dx.doi.org/10.2166/ws.2004.0082.

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Experiments with Alento River water (a drinking water source in the province of Salerno, Italy) showed that considerable amounts of disinfection by-products, primarily chloroform and haloacetic acids, form in that water upon chlorination. The total yield of haloacetic acids was almost twice as high as that of chloroform. Chlorination also caused significant changes in the intensity of NOM fluorescence and the position of the emission band. To quantify the latter, the wavelength that corresponds to the position of the emission band at its half-intensity (λ0.5) was employed. Chlorination caused the λ0.5 values to decrease, while the THMs and HAAs concentrations were linearly correlated with the corresponding λ0.5 values. The strength of correlations between DBP concentrations and λ0.5 values indicates that the latter parameter can be employed in studies of DBP formation in drinking water.

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Patrick, Megan E., Rebecca Evans-Polce, Deborah D. Kloska, Jennifer L. Maggs, and Stephanie T. Lanza. "Age-Related Changes in Associations Between Reasons for Alcohol Use and High-Intensity Drinking Across Young Adulthood." Journal of Studies on Alcohol and Drugs 78, no. 4 (July 2017): 558–70. http://dx.doi.org/10.15288/jsad.2017.78.558.

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Chung, J., Y. Yoon, M. Kim, S. B. Lee, H. J. Kim, and C. K. Choi. "Removal of radio N-nitrosodimethylamine (NDMA) from drinking water by coagulation and Powdered Activated Carbon (PAC) adsorption." Drinking Water Engineering and Science 2, no. 2 (October 5, 2009): 49–55. http://dx.doi.org/10.5194/dwes-2-49-2009.

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Abstract. The presence of N-nitrosodimethylamine (NDMA) in drinking water supplies has raised concern over its removal by common drinking water treatment processes. However, only limited studies have been examined to evaluate the potential removal of NDMA by numerous water treatment technologies within a realistic range (i.e., sub μg/L) of NDMA levels in natural water due to analytical availability. In this study, a simple detection method based on scintillation spectroscopy has been used to quantify the concentration of 14C-labeled NDMA at various ratios of sample to scintillation liquid. Without sample pretreatment, the method detection limits are 0.91, 0.98, 1.23, and 1.45 ng/L of NDMA at scintillation intensity ratios of 10:10, 5:15, 15:5, and 2.5:17.5 (sample: scintillation liquid), respectively. The scintillation intensity in all cases is linear (R2>0.99) and is in the range of 0 to 100 ng/L of NDMA. In addition, because scintillation intensity is independent of solution pH, conductivity, and background electrolyte ion types, a separate calibration curve is unnecessary for NDMA samples at different solution conditions. Bench-scale experiments were performed to simulate individual treatment processes, which include coagulation and adsorption by powdered activated carbon (PAC), as used in a drinking water treatment plant, and biosorption, a technique used in biological treatment of waste water. The results show that coagulation and biosorption may not be appropriate mechanisms to remove NDMA (i.e., hydrophilic based on its low octanol-water partitioning coefficient, Log Kow=0.57). However, relatively high removal of NDMA (approximately 50%) was obtained by PAC at high PAC dosages and longer contact times.

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Dolejš, P., O. Ditrich, T. Machula, N. Kalousková, and G. Puzová. "Occurrence and separation of Cryptosporidium oocysts in drinking water treatment." Water Science and Technology 41, no. 7 (April 1, 2000): 159–63. http://dx.doi.org/10.2166/wst.2000.0128.

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The presence of Cryptosporidium sp. in Czech drinking water sources was monitored. High numbers of Cryptosporidium oocysts were found in the Slezska Harta reservoir after 1997 summer floods. The influence of iron (III) coagulant dose, mixing conditions and preozonation on the removal efficiency of Cryptosporidium oocysts was studied. Low mixing intensity produced flocs with poor settling features. The efficiency of sedimentation expressed as residual iron after sedimentation was proportional to removal efficiency of oocysts. Both underdosing or overdosing of iron (III) coagulant resulted in decrease of COD, turbidity and oocyst removal. Preozonation positively influenced removal efficiency of oocysts in the conventional drinking water treatment train studied.

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Evans, Meghan C., Sharon Cobb, James Smith, Mohsen Bazargan, and Shervin Assari. "Depressive Symptoms among Economically Disadvantaged African American Older Adults in South Los Angeles." Brain Sciences 9, no. 10 (September 22, 2019): 246. http://dx.doi.org/10.3390/brainsci9100246.

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Background: Although social, behavioral, and health factors correlate with depressive symptoms, less is known about these links among economically disadvantaged African American (AA) older adults. Objective: To study social, behavioral, and health correlates of depressive symptoms among economically disadvantaged AA older adults. Methods: This survey was conducted in South Los Angeles between 2015 and 2018. A total number of 740 AA older adults (age ≥55 years) were entered to this study. Independent variables were gender, age, educational attainment, financial difficulties, living alone, marital status, smoking, drinking, chronic medical conditions (CMCs), and pain intensity. The dependent variable was depressive symptoms. Linear regression model was used to analyze the data. Results: Age, financial difficulties, smoking, CMCs, and pain intensity were associated with depressive symptoms. Gender, educational attainment, living arrangement, marital status, and drinking were not associated with depressive symptoms. Conclusion: Factors such as age, financial difficulties, smoking, CMCs, and pain may inform programs that wish to screen high risk economically disadvantaged AA older adults for depressive symptoms.

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McCaul, Kerri, Joseph Baker, and John K. Yardley. "Predicting Substance Use from Physical Activity Intensity in Adolescents." Pediatric Exercise Science 16, no. 3 (August 2004): 277–89. http://dx.doi.org/10.1123/pes.16.3.277.

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Adolescence is characterized as a period of change and adaptation typically marked by a decline in physical activity participation and accompanied by an increase in substance use. The purpose of this study was to examine the relationships among the type (team and individual activity) and intensity (high, medium, and low intensity) of physical activity and substance use (tobacco, marijuana, and alcohol use, and binge drinking) in a sample of 738 adolescents. Results indicated differing relationships among study variables depending on the type and intensity of physical activity and the type of substance used For instance, a positive relationship was found for physical activity intensity and alcohol use, but negative relationships were found for physical activity and tobacco and marijuana use. Collectively, the results reveal that the relationships between physical activity type and intensity and substance use are more complex than previously believed.

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Hayes, J. C., M. Garvey, A. M. Fogarty, E. Clifford, and N. J. Rowan. "Inactivation of recalcitrant protozoan oocysts and bacterial endospores in drinking water using high-intensity pulsed UV light irradiation." Water Supply 12, no. 4 (July 1, 2012): 513–22. http://dx.doi.org/10.2166/ws.2012.017.

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This constitutes the first study to compare the use of high-intensity pulsed UV light (PUV) irradiation for the novel destruction of harmful protozoan (Cryptosporidium parvum Iowa isolate) oocysts and bacterial (Clostridium perfringens ATCC 13124 and Bacillus cereus ATCC 11178) endospores in artificially-spiked water where these organisms are resistant to conventional chlorination. Experimental results revealed that all three test organisms in their dormant recalcitrant state required extended levels of pulsing to achieve significant reductions in numbers compared to other similarly PUV-treated Escherichia coli ATCC 25922 that is a non-spore forming indicator of faecal pollution in water. 120 pulses at 900 V or 16.2 J per pulse (equivalent to a UV dose of 8.39 μJ cm−2) were required to achieve ca. 2 log C. perfringens spore numbers, whereas a similar level of PUV irradiation reduced both C. parvum oocysts and B. cereus endospores by ca. 5 log orders. A comparative ca. 5 log reduction of E. coli cell numbers was achieved after only 25 pulses at 900 V (equivalent to a UV dose of 1.74 μJ cm−2). A clear trend emerged where the order of resistance to PUV-irradiation observed was C. perfringens endospores > C. parvum oocysts, B. cereus endospores > E. coli cells. This study suggests disinfection kinetic data for the more resistant C. perfringens endospores can be used as a measure of estimating disinfection efficacy of PUV treatments for C. parvum oocysts in water, avoiding the need to use complex animal or cell culture infectivity models that are only available in specialised laboratories with highly trained technicians. This study will inform future studies exploring scale-up of PUV at waste-water treatment plants.

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Patrick, Megan E., Yvonne M. Terry-McElrath, Richard A. Miech, John E. Schulenberg, Patrick M. O'Malley, and Lloyd D. Johnston. "Age-Specific Prevalence of Binge and High-Intensity Drinking Among U.S. Young Adults: Changes from 2005 to 2015." Alcoholism: Clinical and Experimental Research 41, no. 7 (June 1, 2017): 1319–28. http://dx.doi.org/10.1111/acer.13413.

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Jung, Jeesun, Daniel B. Rosoff, Christine Muench, Audrey Luo, Martha Longley, Jisoo Lee, Katrin Charlet, and Falk W. Lohoff. "Adverse Childhood Experiences are Associated with High-Intensity Binge Drinking Behavior in Adulthood and Mediated by Psychiatric Disorders." Alcohol and Alcoholism 55, no. 2 (January 2, 2020): 204–14. http://dx.doi.org/10.1093/alcalc/agz098.

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Abstract Aim High-intensity binge drinking (HIBD), defined as two or more times the gender-specific binge threshold, is rapidly increasing in the USA; however, the underlying contributing factors are poorly understood. This study investigated the relationship of adverse childhood experiences (ACEs) and HIBD. Methods Two independent, cross-sectional samples were analysed: (a) past 12-month drinkers in the National Epidemiological Survey on Alcohol and Related Conditions-III (NESARC-III; n = 25,552) and (b) the National Institute on Alcohol Abuse and Alcoholism (NIAAA) clinical sample (n = 1303). Multinomial logistic regressions were utilized to estimate adjusted odds ratios (AORs) of ACEs on HIBD. Mediation analysis was performed to examine the relationship between the past 12-month psychiatric disorders, ACEs, and HIBD. Results In the NESARC-III sample, prevalence of ACEs increased across all binge levels with the highest prevalence in extreme HIBD; ACEs were associated with higher odds for HIBD (level II, odds ratio (OR) = 1.2–1.4; P = 0.03–0.001; level III, OR = 1.3–1.9; P < 0.001). Prevalence of DSM-5 diagnoses also increased across all binge levels. Substance use disorders (SUD), mood, personality and post-traumatic stress disorders (PTSD) conferred the highest odds with extreme HIBD (SUD: OR = 21.32; mood: 1.73; personality: 2.84; PTSD: 1.97; all Ps < 0.001). Mediation analyses showed that the association between ACEs and HIBD was fully mediated through SUD (proportion mediated: 70–90%) and partially through other psychiatric disorders (20–80%). In the NIAAA sample, ACEs were 2–5 times more prevalent in extreme HIBD with higher odds (ORs = 3–8, P < 0.001) compared with non-bingers. Conclusion ACEs were associated with significantly increased odds of HIBD and the relationship may be mediated by psychiatric disorders.

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Journal articles on the topic 'High-intensity drinking'

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