4.6 Article

Factors associated with alcohol abuse in the Peruvian population: analysis of a national health survey 2019

Journal

JOURNAL OF PUBLIC HEALTH
Volume 45, Issue 2, Pages E204-E214

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/pubmed/fdac116

Keywords

alcohol abuse; alcohol drinking; alcoholism; epidemiologic factors; Peru (Source; MeSH)

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The aim of this study was to evaluate the factors associated with alcohol abuse in the Peruvian population. The results showed that education level, marital status, socioeconomic level, region, health insurance, smoking, and depression were associated with a higher prevalence of alcohol abuse.
Aim To evaluate the factors associated with alcohol abuse in the Peruvian population. Methods A secondary analysis was performed using data from the Demographic and Family Health Survey of Peru, 2019. We included 24 264 Peruvians between 18 and 59 years. For the analysis of association, the Poisson regression model with robust standard errors was used. Adjusted Prevalence Ratios (aPR) with their respective 95% confidence intervals (95% CI) were calculated. Results The prevalence of alcohol abuse was 5.2%. Having higher education (aPR:1.61; 95%CI:1.04-2.48), being widowed, separated or divorced (aPR:1.73; 95%CI:1.18-2.54), belonging to the third (aPR:1.70; 95%CI:1.12-2.60), fourth (aPR:2.08; 95%CI:1.33-3.23) or fifth socioeconomic quintile (aPR:2.16; 95%CI:1.33-3.50), being from the Sierra (aPR:1.45; 95%CI:1.12-1.87) or Selva (aPR:1.48; 95%CI:1.13-1.94), not having health insurance (aPR:1.25; 95%CI:1.04-1.50), being a current smoker (aPR:2.43; 95%CI:2.02-2.93) and having major depression (aPR:1.77; 95%CI:1.32-2.36) were associated with a higher prevalence of alcohol abuse. On the other hand being a middle-aged adult (aPR:0.73; 95%CI:0.60-0.88), female (aPR:0.16; 95%CI:0.12-0.22) and having started drinking alcohol after the age of 18 years (aPR:0.57; 95%CI:0.47-0.69) were associated with a lower prevalence. Conclusions One in 20 Peruvians between 18 and 59 years had alcohol abuse. Age, gender, education level, marital status, socioeconomic level, region, age of first drink, smoking and depression were associated with alcohol abuse.

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