Kristina Sundquist1, Gölin Frank. 1. Karolinska Institutet, Family Medicine, Huddinge, Stockholm, Sweden. Kristina.Sundquist@klinvet.ki.se
Abstract
AIMS: This study analyses whether the level of urbanization is associated with hospital admissions for alcohol and drug abuse, after adjustment for individual demographic and socio-economic characteristics. DESIGN: Follow-up study from 31 December 1996 to 31 December 1999. SETTING: Sweden. PARTICIPANTS: The entire Swedish population aged 25-64 yeras, in total 4.5 million women and men. MEASUREMENTS: Hospital admission rates for alcohol abuse (12,812 events) and drug abuse (6459 events). Level of urbanization was defined by population density and divided into quintiles. Cox proportional hazard models were used to analyse the data. FINDINGS: The results showed an apparent gradient for both women and men; with increasing level of urbanization the hospital admission rates for alcohol abuse and drug abuse increased sharply. After adjustment for age, marital status, education and immigrant status, the hazard ratios for hospital admission for alcohol abuse were 1.76 [confidence interval (CI) = 1.58-1.96] for women and 1.71 (CI = 1.60-1.82) for men in the most densely populated areas (quintile 5). For drug abuse the corresponding hazard ratios were 1.89 (CI = 1.67-2.15) for women and 2.38 (CI = 2.12-2.67) for men. CONCLUSIONS: A high level of urbanization was associated with increased hospital admission rates for alcohol abuse and drug abuse. The level of urbanization should be considered in the distribution of resources for prevention and treatment of alcohol and drug abuse.
AIMS: This study analyses whether the level of urbanization is associated with hospital admissions for alcohol and drug abuse, after adjustment for individual demographic and socio-economic characteristics. DESIGN: Follow-up study from 31 December 1996 to 31 December 1999. SETTING: Sweden. PARTICIPANTS: The entire Swedish population aged 25-64 yeras, in total 4.5 million women and men. MEASUREMENTS: Hospital admission rates for alcohol abuse (12,812 events) and drug abuse (6459 events). Level of urbanization was defined by population density and divided into quintiles. Cox proportional hazard models were used to analyse the data. FINDINGS: The results showed an apparent gradient for both women and men; with increasing level of urbanization the hospital admission rates for alcohol abuse and drug abuse increased sharply. After adjustment for age, marital status, education and immigrant status, the hazard ratios for hospital admission for alcohol abuse were 1.76 [confidence interval (CI) = 1.58-1.96] for women and 1.71 (CI = 1.60-1.82) for men in the most densely populated areas (quintile 5). For drug abuse the corresponding hazard ratios were 1.89 (CI = 1.67-2.15) for women and 2.38 (CI = 2.12-2.67) for men. CONCLUSIONS: A high level of urbanization was associated with increased hospital admission rates for alcohol abuse and drug abuse. The level of urbanization should be considered in the distribution of resources for prevention and treatment of alcohol and drug abuse.
Authors: Kenneth S Kendler; Henrik Ohlsson; Alexis C Edwards; Jan Sundquist; Kristina Sundquist Journal: Drug Alcohol Depend Date: 2017-07-29 Impact factor: 4.492
Authors: Sophie van der Sluis; Gonneke Willemsen; Eco J C de Geus; Dorret I Boomsma; Danielle Posthuma Journal: Behav Genet Date: 2008-06-06 Impact factor: 2.805
Authors: Giuseppe N Giordano; Henrik Ohlsson; Kenneth S Kendler; Marilyn A Winkleby; Kristina Sundquist; Jan Sundquist Journal: Drug Alcohol Depend Date: 2013-11-19 Impact factor: 4.492
Authors: Lukas Pitel; Andrea Madarasova Geckova; Jitse P van Dijk; Sijmen A Reijneveld Journal: Int J Public Health Date: 2010-12-01 Impact factor: 3.380
Authors: Danielle Horyniak; Jason S Melo; Risa M Farrell; Victoria D Ojeda; Steffanie A Strathdee Journal: PLoS One Date: 2016-07-13 Impact factor: 3.240
Authors: David C Boettiger; Matthew G Law; Gregory J Dore; Rebecca Guy; Denton Callander; Basil Donovan; Catherine C O'Connor; Christopher K Fairley; Margaret Hellard; Gail Matthews Journal: BMC Infect Dis Date: 2017-12-01 Impact factor: 3.090