Temporal and spatial patterns in the rate of alcohol withdrawal syndrome in a defined community

There is a paucity of data about the epidemiology of alcohol withdrawal syndrome (AWS) and, particularly, with regard to temporal trends and sociodemographic factors. This study included 7,195 episodes of AWS in a defined community (Galicia, Spain) over a 11-year period. We looked for geographical correlations between AWS rate and sociodemographic factors (education and socioeconomic levels and rates of occupational activity and unemployment) within respective districts. We also investigated the inter- and intra-annual time trends for AWS. The median age of the participants was 49 years (interquartile range, 41–60 years), and 85% were men. The annual frequency of AWS episodes remained stable during the study period, with a consistent peak in episodes during the summer months and lowest frequency of episodes in winter months (P < .001). The age- and sex-adjusted geographical distribution of the AWS rate was uneven; districts with high rate tended to cluster. The mean education level was negatively correlated with AWS rate within a given district after adjusting for socioeconomic level, occupational activity rate, and unemployment rate (P < .001). In conclusion, we identified characteristic temporospatial patterns of AWS rate in this defined community. The rate of AWS tended to be higher in the summer months and lower in the winter months. The rate of AWS was higher in districts with low education levels.