scholarly journals Individual-level Associations Between Indicators of Social Capital and Alcohol Use Disorders Identification Test Scores in Communities With High Mortality in Korea

2020 ◽  
Vol 53 (4) ◽  
pp. 245-255
Author(s):  
Jang-Rak Kim ◽  
Baekgeun Jeong ◽  
Ki-Soo Park ◽  
Yune-Sik Kang
Keyword(s):  
Social Capital ◽  
Alcohol Use ◽  
High Mortality ◽  
Test Scores ◽  
Alcohol Use Disorders ◽  
Individual Level ◽  
Identification Test

Parents's plans to supply their adolescents with alcohol

2011 ◽  
Vol 17 (2) ◽  
pp. 169 ◽  
Author(s):  
Bernadette M. Ward ◽  
Pamela C. Snow
Keyword(s):  
Alcohol Use ◽  
Test Scores ◽  
Online Survey ◽  
Alcohol Use Disorders ◽  
Total Variance ◽  
Drinking Patterns ◽  
Cross Sectional ◽  
Identification Test ◽  
Variance Explained

The aim was to determine the extent to which parent and adolescent characteristics and patterns of alcohol use influence parents’ plans to supply their adolescent aged 14–16 years with full serves of alcohol (i.e. not necessarily initiation) in the next 6 months. A cross-sectional sample of parents from Victoria, Australia, completed an online survey. Parents’ plans to supply alcohol in the next 6 months was significantly associated with their reports of supplying alcohol in the previous 3 months (β = 0.51, P < 0.01), perceptions that their adolescent drinks (β = 0.34, P < 0.01), reports of not practising religion (β = 0.13, P < 0.01), and Alcohol Use Disorders Identification Test scores (β = 0.09, P = 0.04). The total variance explained by the model was 57.4% F (9, 242) = 36.2, P < 0.01. Parents’ plans to supply their adolescent with alcohol might be a reflection of the normalisation of alcohol use in Australia. There is a need to support Australian parents to review their own alcohol use, clarify their views on alcohol use by their adolescent and confidently restrict their child’s access to alcohol, irrespective of their own drinking patterns.

scholarly journals Differences in SBP, BMI, and Stress with AUDIT Score in Adolescents

2018 ◽  
Vol 12 (1) ◽  
pp. 228-237 ◽  
Author(s):  
Mi-Kyoung Cho ◽  
Mi Young Kim
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Alcohol Use ◽  
Systolic Blood Pressure ◽  
Body Mass ◽  
Test Scores ◽  
Risk Group ◽  
Explanatory Power ◽  
Alcohol Use Disorders ◽  
Identification Test

Background: Consumption of alcohol by adolescents is known to have negative effects on their psychological health (ie.g., depression and stress) and physical health. Objective: To investigate factors influencing systolic blood pressure, body mass index, and stress according to Alcohol Use Disorders Identification Test scores among adolescents. Methods: This descriptive study included 535 adolescents younger than 20 years who participated in the Sixth National Health and Nutrition Survey conducted in middle and high schools in 2013. Data collected were analyzed using PASW Statistics version 23.0. Results: Mean age of these subjects was 15.20 ± 0.08 years. There were 268 (51.0%) male students and 286 (48.6%) middle-school students. Their systolic blood pressure, body mass index, and stress scores were 108.79 ± 0.54 mmHg, 21.22 ± 0.19 kg/m2, and 2.06 ± 0.04, respectively. In low-risk group (Alcohol Use Disorders Identification Test scores ≤ 7), sex (male) and body mass index explained 22.9% of the variance in systolic blood pressure model (Wald F = 35.28, p < 0.001). Systolic blood pressure was the only significant factor influencing body mass index, with an explanatory power of 16.4% (Wald F = 13.91, p < 0.001). Depression was a significant influencing variable for the stress model, with an explanatory power of 15.1% (Wald F = 16.20, p < 0.001). Stress was the only significant factor influencing the body mass index model in the high-risk group (Alcohol Use Disorders Identification Test scores > 7), with the explanatory power of 14.3% (Wald F = 4.14, p = 0.018). Conclusion: This study found that systolic blood pressure was an influencing factor of body mass index model in both groups while depression was the main factor influencing stress in low-risk group adolescents.

scholarly journals Alkoholkonsum bei Medizinstudierenden. Eine Analyse über 7 Jahre (2011 bis 2017)

2021 ◽  
Author(s):  
Theresa Jacobs ◽  
Maike Linke ◽  
Ernst Peter Richter ◽  
Stephanie Drössler ◽  
Anja Zimmermann ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorders ◽  
Brief Symptom Inventory ◽  
Psychische Belastung ◽  
Eine Analyse ◽  
Symptom Inventory ◽  
Identification Test

Zusammenfassung Hintergrund In der Literatur lassen sich Hinweise darauf finden, dass bei Medizinstudierenden häufig risikohafter Alkoholkonsum vorliegt. Ziel der Arbeit Das Ziel dieser Arbeit ist, den Alkoholkonsum Medizinstudierender im Zeitverlauf zu untersuchen. Material und Methoden Von 2011 bis 2017 wurden Dresdner Medizinstudierende des zweiten Semesters mit dem „Alcohol Use Disorders Identification Test“ (AUDIT) befragt. Mögliche beeinflussende Faktoren des Alkoholkonsums wie Alter, Geschlecht, psychische Belastung („Brief-Symptom Inventory-18“ [BSI-18]), Jahrgang und Abiturnote der Medizinstudierenden wurden in einer Regressionsanalyse geprüft. Ergebnisse Auffällige Scores im AUDIT wiesen 47 % der Studierenden auf. Die männlichen Studierenden zeigten verglichen mit ihren Kommilitoninnen signifikant höhere Scores (6,73 vs. 4,64; p < 0,001). Aus der Regressionsanalyse gingen das Geschlecht (p = 0,000) sowie die psychische Belastung (p = 0,041; Frauen: p = 0,000) als beeinflussende Faktoren des Alkoholkonsums hervor. Schlussfolgerung Die Medizinstudierenden des zweiten Semesters zeigen häufig problematischen Alkoholkonsum, wobei dies v. a. für die männlichen Studierenden gilt. Der Alkoholkonsum von Medizinstudierenden scheint sich von 2011 bis 2017 nicht zu verändern. Die psychische Belastung stand überwiegend bei den weiblichen Medizinstudierenden mit dem Alkoholkonsum in Zusammenhang.

scholarly journals Comparing short versions of the Alcohol Use Disorders Identification Test (AUDIT) in a military cohort

2018 ◽  
Vol 165 (5) ◽  
pp. 312-316 ◽  
Author(s):  
Jason Watterson ◽  
B Gabbe ◽  
P Dietze ◽  
A Bowring ◽  
J V Rosenfeld
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Internal Consistency ◽  
Alcohol Use Disorders ◽  
Pearson’S Correlation ◽  
Identification Test ◽  
Hazardous Alcohol ◽  
Military Populations ◽  
Pearson's Correlation ◽  
Short Versions

BackgroundThe Alcohol Use Disorders Identification Test (AUDIT) is widely used for monitoring harmful alcohol consumption among high-risk populations. A number of short versions of AUDIT have been developed for use in time-constrained settings. In military populations, a range of AUDIT variations have been used, but the optimal combination of AUDIT items has not been determined.MethodsA total of 952 participants (80% male), recruited as part of a wider study, completed the AUDIT-10. We systematically assessed all possible combinations of three or four AUDIT items and established AUDIT variations using the following statistics: Cronbach’s alpha (internal consistency), variance explained (R2) and Pearson’s correlation coefficient (concurrent validity).ResultsMedian AUDIT-10 score was 7 for males and 6 for females, and 380 (40%) participants were classified as having a score indicative of harmful or hazardous alcohol use (≥8) according to WHO classifications.A novel four-item AUDIT variation (3, 4, 8 and 9) performed consistently higher than established variations across statistical measures; it explained 85% of variance in AUDIT-10, had a Pearson’s correlation of 0.92 and Cronbach’s alpha was 0.63. The FAST, an established shortened AUDIT variant, together with several other four-item novel variants of AUDIT-10 performed similarly. The AUDIT-C performed consistently low on all measures, but with a satisfactory level of internal consistency (75%).ConclusionShortened AUDIT variations may be suitable alternatives to the full AUDIT for screening hazardous alcohol consumption in military populations. Four-item AUDIT variations focused on short-term risky drinking and its consequences performed better than three item versions.Trial registration numberACTRN12614001332617.

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