Drinking patterns and alcohol use disorders in São Paulo, Brazil: the role of neighborhood social deprivation and socioeconomic status
- PMID: 25272008
- PMCID: PMC4182710
- DOI: 10.1371/journal.pone.0108355
Drinking patterns and alcohol use disorders in São Paulo, Brazil: the role of neighborhood social deprivation and socioeconomic status
Abstract
Background: Research conducted in high-income countries has investigated influences of socioeconomic inequalities on drinking outcomes such as alcohol use disorders (AUD), however, associations between area-level neighborhood social deprivation (NSD) and individual socioeconomic status with these outcomes have not been explored in Brazil. Thus, we investigated the role of these factors on drink-related outcomes in a Brazilian population, attending to male-female variations.
Methods: A multi-stage area probability sample of adult household residents in the São Paulo Metropolitan Area was assessed using the WHO Composite International Diagnostic Interview (WMH-CIDI) (n = 5,037). Estimation focused on prevalence and correlates of past-year alcohol disturbances [heavy drinking of lower frequency (HDLF), heavy drinking of higher frequency (HDHF), abuse, dependence, and DMS-5 AUD] among regular users (RU); odds ratio (OR) were obtained.
Results: Higher NSD, measured as an area-level variable with individual level variables held constant, showed an excess odds for most alcohol disturbances analyzed. Prevalence estimates for HDLF and HDHF among RU were 9% and 20%, respectively, with excess odds in higher NSD areas; schooling (inverse association) and low income were associated with male HDLF. The only individual-level association with female HDLF involved employment status. Prevalence estimates for abuse, dependence, and DSM-5 AUD among RU were 8%, 4%, and 8%, respectively, with excess odds of: dependence in higher NSD areas for males; abuse and AUD for females. Among RU, AUD was associated with unemployment, and low education with dependence and AUD.
Conclusions: Regular alcohol users with alcohol-related disturbances are more likely to be found where area-level neighborhood characteristics reflect social disadvantage. Although we cannot draw inferences about causal influence, the associations are strong enough to warrant future longitudinal alcohol studies to explore causal mechanisms related to the heterogeneous patterns of association and male-female variations observed herein. Hopefully, these findings may help guide future directions for public health.
Conflict of interest statement
Similar articles
-
Sociodemographic correlates of transitions from alcohol use to disorders and remission in the São Paulo megacity mental health survey, Brazil.Alcohol Alcohol. 2011 May-Jun;46(3):324-32. doi: 10.1093/alcalc/agr007. Epub 2011 Mar 17. Alcohol Alcohol. 2011. PMID: 21414952 Free PMC article.
-
Alcohol use patterns and disorders among individuals with personality disorders in the Sao Paulo Metropolitan Area.PLoS One. 2021 Mar 23;16(3):e0248403. doi: 10.1371/journal.pone.0248403. eCollection 2021. PLoS One. 2021. PMID: 33755679 Free PMC article.
-
Gender differences in drinking patterns and alcohol-related problems in a community sample in São Paulo, Brazil.Clinics (Sao Paulo). 2012;67(3):205-12. doi: 10.6061/clinics/2012(03)01. Clinics (Sao Paulo). 2012. PMID: 22473399 Free PMC article.
-
Do Associations Between Alcohol Use and Alcohol Use Disorder Vary by Weight Status? Results From the National Epidemiologic Survey on Alcohol and Related Conditions-III.Alcohol Clin Exp Res. 2019 Jul;43(7):1498-1509. doi: 10.1111/acer.14071. Epub 2019 May 21. Alcohol Clin Exp Res. 2019. PMID: 31034607
-
Identifying the gap between need and intervention for alcohol use disorders in Europe.Addiction. 2011 Mar;106 Suppl 1:31-6. doi: 10.1111/j.1360-0443.2010.03335.x. Addiction. 2011. PMID: 21324019 Review.
Cited by
-
Prevalence and incidence of alcohol dependence: cross-sectional primary care analysis in Liverpool, UK.BMJ Open. 2023 Apr 19;13(4):e071024. doi: 10.1136/bmjopen-2022-071024. BMJ Open. 2023. PMID: 37076152 Free PMC article.
-
Parental Education and Left Lateral Orbitofrontal Cortical Activity during N-Back Task: An fMRI Study of American Adolescents.Brain Sci. 2021 Mar 22;11(3):401. doi: 10.3390/brainsci11030401. Brain Sci. 2021. PMID: 33809905 Free PMC article.
-
The epidemiology of alcohol use in Izmir, Turkey: drinking pattern, impairment and help-seeking.Soc Psychiatry Psychiatr Epidemiol. 2017 Jul;52(7):887-899. doi: 10.1007/s00127-017-1345-5. Epub 2017 Feb 20. Soc Psychiatry Psychiatr Epidemiol. 2017. PMID: 28220214
-
Investigating dimensionality and measurement bias of DSM-5 alcohol use disorder in a representative sample of the largest metropolitan area in South America.Drug Alcohol Depend. 2015 Jul 1;152:123-30. doi: 10.1016/j.drugalcdep.2015.04.024. Epub 2015 May 9. Drug Alcohol Depend. 2015. PMID: 26002376 Free PMC article.
-
Area-level disadvantage and alcohol use disorder in northern Mexico.Drug Alcohol Depend. 2017 Jun 1;175:219-226. doi: 10.1016/j.drugalcdep.2017.02.011. Epub 2017 Apr 13. Drug Alcohol Depend. 2017. PMID: 28456100 Free PMC article.
References
-
- Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, et al. (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380: 2224–2260. - PMC - PubMed
-
- UN (2011) Prevention and control of non-communicable diseases - Report of the Secretary-General A/66/83. United Nations.
-
- Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, et al. (2009) Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet 373: 2223–2233. - PubMed
-
- Rehm J, Room R, Monteiro M, Gmel G, Graham K, et al.. (2004) Alcohol use. In: M Ezzati AL, A Rodgers, CJL Murray, editor. Comparative quantification of health risks Global and regional burden of disease attributable to selected major risk factors. Geneva: WHO. 959–1108.
Publication types
MeSH terms
Grants and funding
- R01DA016558/DA/NIDA NIH HHS/United States
- R01 MH069864/MH/NIMH NIH HHS/United States
- K05 DA015799/DA/NIDA NIH HHS/United States
- R13-MH066849/MH/NIMH NIH HHS/United States
- R01 MH070884/MH/NIMH NIH HHS/United States
- R03 DA023434/DA/NIDA NIH HHS/United States
- R01 HD060072/HD/NICHD NIH HHS/United States
- HD060072/HD/NICHD NIH HHS/United States
- R13 MH066849/MH/NIMH NIH HHS/United States
- R21 DA020667/DA/NIDA NIH HHS/United States
- R01 DA016558/DA/NIDA NIH HHS/United States
- FIRCA R03-TW006481/TW/FIC NIH HHS/United States
- R03 TW006481/TW/FIC NIH HHS/United States
- K05DA015799/DA/NIDA NIH HHS/United States
- R01-MH069864/MH/NIMH NIH HHS/United States
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous