Alcohol-Related Risky Behavior Patterns and Their Association With Alcohol Use and Perceived Alcohol Stigma in Moshi, Tanzania

Overview

Journal J Stud Alcohol Drugs

Specialty Psychiatry

Date 2020 Oct 8

PMID 33028474

Citations 2

Authors

Duan Zhao

Joao Ricardo Nickenig Vissoci

Blandina T Mmbaga

Abu S Abdullah

Catherine A Staton

Affiliations

Soon will be listed here.

Abstract

Objective: The Kilimanjaro region has one of the highest rates of reported alcohol use per capita in Tanzania. Alcohol-related risky behaviors pose substantial threats to the health and well-being of alcohol users and the people around them. This study seeks to understand how alcohol-related risky behaviors co-occur with other risky behaviors.

Method: Latent class analysis (LCA) was applied to examine alcohol-related risky behaviors. The optimal number of latent classes was confirmed by using model fit indices. Negative binomial models were used to test latent classes and their association with harmful and hazardous drinking and perceived alcohol stigma. With the model defined, we explored each class's drinking patterns and risky behavior patterns.

Results: A total of 622 (60% male) of 841 participants were included in these analyses because they drank alcohol at least once in their lifetime. Three classes of risky behavior patterns were identified: Class 1, "Limited risk behaviors" (59.7%); Class 2, "Primarily foolish behaviors" (25.6%); and Class 3, "Pervasive risk behaviors" (13.1%). Class 3 had the most alcohol use quantity and frequency. No association between classes and alcohol stigma was found. Compared with males, females are less likely to be classified in Class 2 and 3.

Conclusions: Three different classes of risky behaviors became apparent and were distinguished by gender, age, and personal alcohol use. Our findings suggest a potential role for personalized interventions based on latent classes specifically to reduce risk behaviors.

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References

Saunders J, Aasland O, Babor T, De la Fuente J, Grant M . Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II. Addiction. 1993; 88(6):791-804. DOI: 10.1111/j.1360-0443.1993.tb02093.x. View

Skipsey K, Burleson J, Kranzler H . Utility of the AUDIT for identification of hazardous or harmful drinking in drug-dependent patients. Drug Alcohol Depend. 1997; 45(3):157-63. DOI: 10.1016/s0376-8716(97)01353-7. View

Swahn M, Bossarte R . Gender, early alcohol use, and suicide ideation and attempts: findings from the 2005 youth risk behavior survey. J Adolesc Health. 2007; 41(2):175-81. DOI: 10.1016/j.jadohealth.2007.03.003. View

Francis J, Weiss H, Mshana G, Baisley K, Grosskurth H, Kapiga S . The Epidemiology of Alcohol Use and Alcohol Use Disorders among Young People in Northern Tanzania. PLoS One. 2015; 10(10):e0140041. PMC: 4596556. DOI: 10.1371/journal.pone.0140041. View

Keyes K, Hatzenbuehler M, McLaughlin K, Link B, Olfson M, Grant B . Stigma and treatment for alcohol disorders in the United States. Am J Epidemiol. 2010; 172(12):1364-72. PMC: 2998202. DOI: 10.1093/aje/kwq304. View

Conigrave K, Hall W, Saunders J . The AUDIT questionnaire: choosing a cut-off score. Alcohol Use Disorder Identification Test. Addiction. 1995; 90(10):1349-56. DOI: 10.1046/j.1360-0443.1995.901013496.x. View

Staton C, Msilanga D, Kiwango G, Vissoci J, de Andrade L, Lester R . A prospective registry evaluating the epidemiology and clinical care of traumatic brain injury patients presenting to a regional referral hospital in Moshi, Tanzania: challenges and the way forward. Int J Inj Contr Saf Promot. 2015; 24(1):69-77. DOI: 10.1080/17457300.2015.1061562. View

Chiauzzi E, DasMahapatra P, Black R . Risk behaviors and drug use: a latent class analysis of heavy episodic drinking in first-year college students. Psychol Addict Behav. 2013; 27(4):974-85. DOI: 10.1037/a0031570. View

Beseler C, Taylor L, Kraemer D, Leeman R . A latent class analysis of DSM-IV alcohol use disorder criteria and binge drinking in undergraduates. Alcohol Clin Exp Res. 2011; 36(1):153-61. PMC: 3253200. DOI: 10.1111/j.1530-0277.2011.01595.x. View

10.

Claussen B, Aasland O . The Alcohol Use Disorders Identification Test (AUDIT) in a routine health examination of long-term unemployed. Addiction. 1993; 88(3):363-8. DOI: 10.1111/j.1360-0443.1993.tb00823.x. View

11.

Ruan W, Goldstein R, Chou S, Smith S, Saha T, Pickering R . The alcohol use disorder and associated disabilities interview schedule-IV (AUDADIS-IV): reliability of new psychiatric diagnostic modules and risk factors in a general population sample. Drug Alcohol Depend. 2007; 92(1-3):27-36. PMC: 2246381. DOI: 10.1016/j.drugalcdep.2007.06.001. View

12.

Graham J . Missing data analysis: making it work in the real world. Annu Rev Psychol. 2008; 60:549-76. DOI: 10.1146/annurev.psych.58.110405.085530. View

13.

Nielsen A, Vach W, Kent P, Hestbaek L, Kongsted A . Using existing questionnaires in latent class analysis: should we use summary scores or single items as input? A methodological study using a cohort of patients with low back pain. Clin Epidemiol. 2016; 8:73-89. PMC: 4853143. DOI: 10.2147/CLEP.S103330. View

14.

Stuber J, Meyer I, Link B . Stigma, prejudice, discrimination and health. Soc Sci Med. 2008; 67(3):351-7. PMC: 4006697. DOI: 10.1016/j.socscimed.2008.03.023. View

15.

Meier B, El-Gabri D, Friedman K, Mvungi M, Mmbaga B, Vissoci J . Perceptions of alcohol use among injury patients and their family members in Tanzanian society. Alcohol. 2019; 83:9-15. PMC: 7197291. DOI: 10.1016/j.alcohol.2019.06.001. View

16.

Rusch N, Angermeyer M, Corrigan P . Mental illness stigma: concepts, consequences, and initiatives to reduce stigma. Eur Psychiatry. 2005; 20(8):529-39. DOI: 10.1016/j.eurpsy.2005.04.004. View

17.

Livingston J, Milne T, Fang M, Amari E . The effectiveness of interventions for reducing stigma related to substance use disorders: a systematic review. Addiction. 2011; 107(1):39-50. PMC: 3272222. DOI: 10.1111/j.1360-0443.2011.03601.x. View

18.

Ahern J, Stuber J, Galea S . Stigma, discrimination and the health of illicit drug users. Drug Alcohol Depend. 2006; 88(2-3):188-96. DOI: 10.1016/j.drugalcdep.2006.10.014. View

19.

Mitsunaga T, Larsen U . Prevalence of and risk factors associated with alcohol abuse in Moshi, northern Tanzania. J Biosoc Sci. 2007; 40(3):379-99. DOI: 10.1017/S0021932007002441. View

20.

Luoma J, OHair A, Kohlenberg B, Hayes S, Fletcher L . The development and psychometric properties of a new measure of perceived stigma toward substance users. Subst Use Misuse. 2009; 45(1-2):47-57. PMC: 5067154. DOI: 10.3109/10826080902864712. View