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"Alcohol Use"

Original Articles
Alcohol Use and Its Relation with Demographic, Environmental, and Psychological Factors among Adolescents in Nabawan, Sabah
Selly Jaimon, Pravina Deligannu, Fredie Robinson
Received November 28, 2023  Accepted March 16, 2024  Published online June 7, 2024  
DOI: https://doi.org/10.4082/kjfm.23.0262    [Epub ahead of print]
Background
Adolescence is an essential stage of a child’s development, transitioning them into adulthood. During this time, they are vulnerable to various social issues, such as experimenting with alcohol, among others. Although alcohol consumption was proven to be detrimental to physical and cognitive development toward adulthood, and almost one in 10 Malaysian adolescents aged 13 years and above are current drinkers, studies concerning the driving factors are still scarce. This cross-sectional study aimed to determine alcohol use among 244 adolescents in Nabawan, Sabah.
Methods
This study assessed the associations between alcohol use and three potential factors: demographic, environmental, and psychological. Respondents who were selected through stratified proportionate random sampling answered a set of assessment tools.
Results
Results showed that 30.7% (95% confidence interval [CI], 24.91–36.48) of Nabawan adolescents use alcohol. Analysis revealed that older age adolescents 18 years and 19 years, respectively (adjusted odds ratio [aOR], 3.93; P=0.021; aOR, 5.38; P=0.003), having parents (aOR, 4.11; P=0.001) and peers (aOR, 11.57; P<0.001) who consume alcohol were significantly associated with alcohol use. Unexpectedly, good parental monitoring (aOR, 2.46; P=0.019) and discussing serious problems with parents (aOR, 3.86; P=0.001) were significantly associated with alcohol use.
Conclusion
Conclusively, policies on alcohol-related harm reduction and prevention should be developed, especially school-based programs, programs addressing family functioning, and parent-child communication, among others, should be further looked into. Future research on the school environment, adolescents’ drinking motives, and the development of practical adolescent-friendly alcohol screening tools are recommendations for improvements.
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Association of High-Risk Drinking with Metabolic Syndrome and Its Components in Elderly Korean Men: The Korean National Health and Nutrition Examination Survey 2010–2012
Ji-Hyun Kim, Jeong-Im Ha, Jae-Min Park, Ji Sun Lee, Ah-Leum Ahn, Eun-Jung Oh, Jae-Kyung Choi, Hyuk-Jung Kweon, Dong-Yung Cho
Korean J Fam Med 2018;39(4):233-238.   Published online July 6, 2018
DOI: https://doi.org/10.4082/kjfm.17.0024
Background
Previous studies have examined the association between alcohol consumption and metabolic syndrome (MetS) in adults, but studies in the elderly are lacking. We examined the relationship between high-risk alcohol consumption and MetS in elderly Korean men using the Alcohol Use Disorders Identification Test (AUDIT) questionnaire from the 2010–2012 Korean National Health and Nutrition Examination Survey.
Methods
Among 25,534 subjects, 2,807 were men >60 years of age; after exclusions, we included 2,088 men in the final analysis. We categorized the study participants into three groups according to AUDIT score: low risk (0–7), intermediate risk (8–14), and high risk (≥15 points).
Results
Among the study population, 17.0% of the men were high-risk drinkers, who had the highest mean waist circumference, systolic and diastolic blood pressure (BP), fasting plasma glucose (FPG), and triglyceride (TG) levels. The overall prevalence of MetS was 41.9% in the elderly men, and it was significantly higher in the group with high (48.3%) versus low (31.9%) AUDIT scores. The prevalence of MetS components (elevated BP, high FPG, high TG, and low high-density lipoprotein cholesterol) was associated with a high AUDIT score. The odds ratios (95% confidence interval) of the high-risk group for MetS, elevated BP, and high TG were 1.40 (1.03–1.89), 1.82 (1.28– 2.60), and 1.77 (1.30–2.41) after adjustment for confounding variables.
Conclusion
AUDIT score was correlated with most MetS components in elderly Korean men.

Citations

Citations to this article as recorded by  
  • Sex-Specific Energy Intakes and Physical Activity Levels According to the Presence of Metabolic Syndrome in Korean Elderly People: Korean National Health and Nutrition Examination Survey 2016–2018
    Won-Sang Jung, Hun-Young Park, Sung-Woo Kim, Kiwon Lim
    International Journal of Environmental Research and Public Health.2020; 17(15): 5416.     CrossRef
  • Cardiovascular effects of alcohol: A double-edged sword / how to remain at the nadir point of the J-Curve?
    Theodora A. Manolis, Antonis A. Manolis, Antonis S. Manolis
    Alcohol.2019; 76: 117.     CrossRef
  • High-Risk Drinking in the Elderly
    Seung-Won Oh
    Korean Journal of Family Medicine.2018; 39(4): 209.     CrossRef
  • 7,235 View
  • 130 Download
  • 3 Web of Science
  • 3 Crossref
The Relationship between a Spouse's Alcohol Use Disorder and Family Communication
Hyuk Ju Kwon, Tae Kwan Ahn, Jung Ah Lee, Sung Sunwoo, Young Sik Kim, Byung-Soo Kim, Tae Hee Jeon, Byung Yeon Yu, Byung-Wook Yoo, Kyung-Chae Park, Sun Wha Ok
Korean J Fam Med 2015;36(2):92-102.   Published online March 23, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.2.92
Background

Alcohol use disorder (AUD) affects not only an individual's health but also their family. This study was conducted to examine effects of a spouse's AUD on family functioning and family communication.

Methods

We conducted a cross-sectional study using data from 890 participants (445 couples) in a Korean family cohort in primary care. Participants with Alcohol Use Disorders Identification Test in Korea scores of 8 or greater were classified into an AUD group. Family functioning was classified into three groups (balanced, midrange, and extreme) using the Family Adaptability and Cohesion Scale (FACES)-III questionnaire, and then reclassified into two groups (appropriate and extreme groups) for binominal analyses. Family communication was classified into three groups (high, moderate, and low) using the Family Communication Scale, FACES-IV, and also reclassified into two groups (good and poor).

Results

There was no significant difference in adaptability and cohesion between both male and female participants with a spouse with AUD and participants with a spouse without AUD. Using multivariate logistic regression to adjust for potential confounders, there was no significant difference in family type and communication between the two groups in males. However, there was a significant decrease in family communication (odds ratio, 2.14; 95% confidence interval, 1.29 to 3.58) in females with a spouse with AUD compared to females with a spouse without AUD, even after adjusting for the participant's own AUD.

Conclusion

In females, family communication is significantly worse when spouses have AUD. This suggests that a husband's alcohol consumption has negative effects on his wife's family communication.

Citations

Citations to this article as recorded by  
  • Analysis of Factors Influencing the Willingness of Chinese Older Adults to Use mHealth Devices: Nationwide Cross-Sectional Survey Study
    Mengyao Yan, Wendi Sun, Cheng Tan, Yibo Wu, Yuanli Liu
    Journal of Medical Internet Research.2025; 27: e66804.     CrossRef
  • How men with alcohol use disorder perceive communication, couple satisfaction, relational boredom, and quality of life compared to wives: Findings from a hospital-based study
    Pradeep Kumar P.C., Princy P.J., Shivanand Manohar, Kishor M., Manoj K. Pandey
    Journal of Ethnicity in Substance Abuse.2023; : 1.     CrossRef
  • The Association Between Family Violence, Depression and Anxiety Among Women Whose Partners Have Been Treated for Alcohol Dependence
    Natasa Dostanic, Bosiljka Djikanovic, Mirjana Jovanovic, Zeljka Stamenkovic, Aleksandra Đeric
    Journal of Family Violence.2022; 37(2): 313.     CrossRef
  • Family Functioning and Communication in Spouses of Patients with Parkinsonism
    Seo Young Kang, Myung Hwa Yang, Jung Ah Lee, Wooyoung Jang, Chong Sik Lee, Young Sik Kim
    Korean Journal of Family Medicine.2017; 38(1): 14.     CrossRef
  • 4,324 View
  • 28 Download
  • 4 Crossref
Performance of the AUDIT Alcohol Consumption Questions (AUDIT-C) and AUDIT-K Question 3 Alone in Screening for Problem Drinking.
Jeong Hwan Seong, Chang Hun Lee, Hyun Jin Do, Seung Won Oh, Youl Lee Lym, Jae Kyung Choi, Hee Kyung Joh, Kyuk Jung Kweon, Dong Yung Cho
Korean J Fam Med 2009;30(9):695-702.   Published online September 20, 2009
DOI: https://doi.org/10.4082/kjfm.2009.30.9.695
Background
In the busy primary care setting, there are several limitations in applying Alcohol Use Disorders Identifi cation Test in Korea (AUDIT-K) to screen problem drinking. Thus, for primary healthcare practice, we evaluated AUDIT-C, which covers questions from 1 to 3 in AUDIT-K, and AUDIT-K Question 3 Alone to present cut points for these two screening questionnaire according to AUDIT-K test scores. Methods: In a university hospital, we surveyed 302 males with a drinking history via self-administered questionnaire including AUDIT-K, from November 2007 to April 2008. On the basis of total score in AUDIT-K, we divided them into four groups: normal, problem drinking, alcohol use disorder, and alcohol dependence. For each alcohol drinking behavior pattern, we drew the receiver operating characteristics (ROC) curves to present cut points for appropriate sensitivity and specifi city. In addition, we compared the performance of AUDIT-C and AUDIT-K Question 3 Alone through area under the curve (AUC). Results: For AUDIT-C, we designated the score 8 or more as problem drinking, 9 or more as alcohol use disorder, and 11 or more as dependence. The results of sensitivity/specifi city for each group were 82%/76%, 76%/79%, 80%/86%, respectively, which were suitable for screening. For AUDIT-K Question 3 Alone, we defined the score 3 or more as problem drinking or alcohol use disorder and the score 4 as dependence. The results of sensitivity/specifi city for each group were 79%/80%, 84%/67%, 85%/77%, which were appropriate for screening. For every drinking behavior group, AUDIT-C was superior to AUDIT-K Question 3 Alone in screening performance (problem drinking: 0.88 vs. respectively 0.85, alcohol use disorder: 0.86 vs. 0.82, alcohol dependence: 0.88 vs. 0.81) Conclusion: We confi rmed that both AUDIT-C and AUDIT-K Question 3 Alone, which are more convenient and have fewer time con-straints than AUDIT-K, are reasonable screening methods for problem drinking. Thus, we recommend further drinking assessment and proper intervention for male drinkers who have scores 8 or more in AUDIT-C or 3 or more in AUDIT-K Question 3 Alone.

Citations

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    Hye Chong Hong, Young Man Kim
    JMIR Public Health and Surveillance.2024; 10: e55014.     CrossRef
  • A Study on the Factors Influencing the Psychological Problems of Suicide Survivors
    Jin-Hwa Choi, Keunhye Sung, Tae-Yeon Hwang
    Journal of Korean Neuropsychiatric Association.2024; 63(2): 140.     CrossRef
  • Associations between changes in deprivation and alcohol use disorder: a nationwide longitudinal study
    Dan Bi Kim, Jae Hyeok Lim, Ji Su Ko, Min Jeong Joo, Eun-Cheol Park, Suk-yong Jang
    Alcohol and Alcoholism.2024;[Epub]     CrossRef
  • Clinical validation of screening test for at-risk drinking for young and middle-aged adults in an emergency department
    Hosub Chung, Jae Hee Lee
    Hong Kong Journal of Emergency Medicine.2023; 30(4): 203.     CrossRef
  • Age at onset of alcohol consumption and its association with alcohol misuse in adulthood
    Soo Y. Kim, Sung H. Jeong, Eun‐Cheol Park
    Neuropsychopharmacology Reports.2023; 43(1): 40.     CrossRef
  • Factors Influencing Sleep Disturbance of Novice Nurses: Focusing on Sleep Hygiene and Physical Activity - Longitudinal Study of Secondary Data
    Minjeong Yu, Smi Choi-Kwon, Jison Ki, Kyeongsug Kim
    Journal of Korean Academy of Nursing Administration.2023; 29(3): 278.     CrossRef
  • Association between chronic fatigue syndrome and suicidality among survivors of Middle East respiratory syndrome over a 2-year follow-up period
    So-Hyun Ahn, Jeong Lan Kim, Jang Rae Kim, So Hee Lee, Hyeon Woo Yim, Hyunsuk Jeong, Jeong-Ho Chae, Hye Yoon Park, Jung Jae Lee, Haewoo Lee
    Journal of Psychiatric Research.2021; 137: 1.     CrossRef
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    Younkyoung Kim, John Lowe, OiSaeng Hong
    Nursing Research.2021; 70(2): 114.     CrossRef
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    Young-Me Lee, Mi Yeul Hyun, Suyoung Choi, Elizabeth Aquino
    Journal of Addictions Nursing.2021; 32(2): 79.     CrossRef
  • A Deep Learning Algorithm to Predict Hazardous Drinkers and the Severity of Alcohol-Related Problems Using K-NHANES
    Suk-Young Kim, Taesung Park, Kwonyoung Kim, Jihoon Oh, Yoonjae Park, Dai-Jin Kim
    Frontiers in Psychiatry.2021;[Epub]     CrossRef
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    International Journal of Environmental Research and Public Health.2021; 18(16): 8890.     CrossRef
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    Hye Chung Cho, Eun Sook Lee
    Korean Journal of Health Education and Promotion.2020; 37(3): 15.     CrossRef
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    Myoungjee Jung
    Journal of Affective Disorders.2019; 244: 164.     CrossRef
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    Psychiatry Investigation.2019; 16(2): 145.     CrossRef
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    Emergency Medicine International.2018; 2018: 1.     CrossRef
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  • 4,176 View
  • 142 Download
  • 30 Crossref
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