Demographic and Seasonal Factors Contributing to Accidental Opioid Fatalities: A Case Study of Vermont
Conference Year
2023
Abstract
Objective. Examine associations of key sociodemographic variables in Vermonters who died from accidental opioid fatalities between 2015-2019. Methods. Opioid overdose deaths from 2015 to 2019 (n=427) were analyzed to identify demographics related to accidental opioid overdose mortalities. Results. ��2 revealed differences in marital status, sex, educational attainment, age, and rurality (Ps<0.001) in this cohort. Binomial logistic regression revealed that lower educational attainment was predictive in males and being single was predictive in the older age (>45) demographic (Ps<0.05). Conclusions. These results may inform targeted interventions in Vermont. Additional research is needed to assess rurality as a predictor or opioid death.
Primary Faculty Mentor Name
Amanda Jones
Status
Graduate
Student College
Larner College of Medicine
Program/Major
Public Health
Primary Research Category
Life Sciences
Demographic and Seasonal Factors Contributing to Accidental Opioid Fatalities: A Case Study of Vermont
Objective. Examine associations of key sociodemographic variables in Vermonters who died from accidental opioid fatalities between 2015-2019. Methods. Opioid overdose deaths from 2015 to 2019 (n=427) were analyzed to identify demographics related to accidental opioid overdose mortalities. Results. ��2 revealed differences in marital status, sex, educational attainment, age, and rurality (Ps<0.001) in this cohort. Binomial logistic regression revealed that lower educational attainment was predictive in males and being single was predictive in the older age (>45) demographic (Ps<0.05). Conclusions. These results may inform targeted interventions in Vermont. Additional research is needed to assess rurality as a predictor or opioid death.