OBJECTIVES: Recently, increased rates of suicide in US counties at higher altitudes have been noted. Because of the documented association between cocaine use and suicide, we hypothesized that there would be a correlation between incidence of cocaine use and altitude of residence. METHODS: Cocaine use data were obtained from the Substate Substance Abuse Estimates from the 1999-2001 National Surveys on Drug Use and Health. Data related to the percentages of people 12 years or older who used cocaine in the past year. Average elevation for US counties was calculated using the Shuttle Radar Topography Mission elevation data set, and subject region elevation was calculated by averaging the weighted elevations of each region's relevant counties. The correlation between elevation of a substate region and incidence of cocaine use in that region was calculated using Pearson correlation coefficients. RESULTS: A significant correlation exists between mean altitude of a substate region and incidence of cocaine use in that region (r = 0.34; P < 0.0001). Regression analysis controlling for age, sex, race, education level, income, unemployment, and population density was performed. Altitude remained a significant factor (P = 0.007), whereas male sex (P = 0.008) and possessing less than a college education (P < 0.0001) were also significant predictors of self-reported cocaine use in the past year. It is important to note that cocaine use was assessed in isolation of other drugs of abuse, an additional confounding variable. CONCLUSIONS: This study demonstrates a significant correlation between altitude of substate region of residence and incidence of cocaine use. It is possible that stress response due to hypoxia is responsible; however, this requires further investigation. However, because other substance use was not assessed, specificity of this association is unknown. In addition, this correlation may help explain the increased rate of suicide in areas of higher elevation.
OBJECTIVES: Recently, increased rates of suicide in US counties at higher altitudes have been noted. Because of the documented association between cocaine use and suicide, we hypothesized that there would be a correlation between incidence of cocaine use and altitude of residence. METHODS:Cocaine use data were obtained from the Substate Substance Abuse Estimates from the 1999-2001 National Surveys on Drug Use and Health. Data related to the percentages of people 12 years or older who used cocaine in the past year. Average elevation for US counties was calculated using the Shuttle Radar Topography Mission elevation data set, and subject region elevation was calculated by averaging the weighted elevations of each region's relevant counties. The correlation between elevation of a substate region and incidence of cocaine use in that region was calculated using Pearson correlation coefficients. RESULTS: A significant correlation exists between mean altitude of a substate region and incidence of cocaine use in that region (r = 0.34; P < 0.0001). Regression analysis controlling for age, sex, race, education level, income, unemployment, and population density was performed. Altitude remained a significant factor (P = 0.007), whereas male sex (P = 0.008) and possessing less than a college education (P < 0.0001) were also significant predictors of self-reported cocaine use in the past year. It is important to note that cocaine use was assessed in isolation of other drugs of abuse, an additional confounding variable. CONCLUSIONS: This study demonstrates a significant correlation between altitude of substate region of residence and incidence of cocaine use. It is possible that stress response due to hypoxia is responsible; however, this requires further investigation. However, because other substance use was not assessed, specificity of this association is unknown. In addition, this correlation may help explain the increased rate of suicide in areas of higher elevation.
Authors: Olena V Bogdanova; Osama Abdullah; Shami Kanekar; Volodymyr B Bogdanov; Andrew P Prescot; Perry F Renshaw Journal: Behav Brain Res Date: 2014-01-29 Impact factor: 3.332
Authors: Rebekah S Huber; Tae-Suk Kim; Namkug Kim; M Danielle Kuykendall; Samantha N Sherwood; Perry F Renshaw; Douglas G Kondo Journal: J Atten Disord Date: 2015-03-25 Impact factor: 3.256
Authors: Hendrik J Ombach; Lindsay S Scholl; Amanda V Bakian; Kai T Renshaw; Young-Hoon Sung; Perry F Renshaw; Shami Kanekar Journal: Addict Behav Rep Date: 2019-02-18
Authors: Hana Sabic; Brent Kious; Danielle Boxer; Colleen Fitzgerald; Colin Riley; Lindsay Scholl; Erin McGlade; Deborah Yurgelun-Todd; Perry F Renshaw; Douglas G Kondo Journal: High Alt Med Biol Date: 2019-05-02 Impact factor: 1.981