Details

Autor(en) / Beteiligte

• Anderson, Ilene B.
• Kim-Katz, Susan Y.
• Dyer, Jo Ellen
• Earnest, Gillian E.
• Lamb, John P.
• Blanc, Paul D.

Titel

Area-level socioeconomic status in relation to outcomes in γ-hydroxybutyrate intoxication

Ist Teil von

• Clinical toxicology (Philadelphia, Pa.), 2009-01, Vol.47 (1), p.48-57

Ort / Verlag

Philadelphia, PA: Informa UK Ltd

Erscheinungsjahr

2009

Link zum Volltext

Quelle

Taylor & Francis Journals Auto-Holdings Collection

Beschreibungen/Notizen

• Background. Area-level socioeconomic status (SES) may play an important role in drug abuse patterns, including related health outcomes. This may be particularly relevant for γ-hydroxybutyrate (GHB), which is prototypical of "party" drug abuse. Methods. We retrospectively reviewed GHB-related cases reported to the California Poison Control System (CPCS; January 1, 1999 through June 30, 2007). We limited analysis to CPCS calls containing a residential zip code (ZC). The CPCS data were extracted for key case characteristics, including the residential ZC. We linked cases to corresponding 2000 U.S. Census data for area-level measures of SES and demographics. We used multiple logistic regression analysis to test the associations between area-level SES and GHB case severity, taking into account area-level demographics and individual-level GHB high-risk behaviors. Results. We analyzed 210 cases. Taking into account area-level demographics (age and racial mix; urbanicity) and GHB-related high-risk behaviors (use of GHB congeners; GHB-dependence; co-ingestion of other agents), we associated higher area-level SES with greater GHB case severity. There was 40% increased likelihood of major GHB adverse health outcomes for every $100,000 incremental increase in median home values (OR 1.41; 95% CI 1.1-1.8). For median annual household income (per $10,000), the association was similar (OR 1.39; 95% CI 1.0-1.9). Conclusion. Higher area-level SES is associated with greater GHB-related case severity. This study may serve as a model using a geographic information system (GIS) approach to study the population-based correlates of drugs of abuse reported through poison control surveillance.