Literature DB >> 7721530

Pattern of drug use in a general population--prevalence and predicting factors: the Tromsø study.

A E Eggen1.   

Abstract

BACKGROUND: The aims of this study were to examine the prevalence of drug use, and how morbidity, use of health services, self-evaluated health, demographic pattern and lifestyle characteristics influence drug use in a general population.
METHODS: The study was carried out in the municipality of Tromsø, Norway. A sample of those aged 12-61 years was invited to the health survey, and 21,647 (75%) participated.
RESULTS: The proportion of drug users increased with age in both sexes (P < 0.0001); from 25% to 52% of women and from 18% to 38% of men. Drug use dependent mainly on chronic diseases (odds ratio [OR] = 2.5 [women], OR = 3.5 [men]) and physical distress, especially symptoms of pain (OR = 2.3 [women], OR = 2.2 [men]). Number of visits to the doctor (OR = 2.4 [women], OR = 3.2 [men]) and attitude to own health (OR = 1.9 [women], OR = 1.7 [men]) were also significant predictors for drug use. Mental distress, lifestyle and demographic factors were of marginal importance (OR < 1.3). Chronic diseases and visits to the doctor were the only predictors showing significant gender difference.
CONCLUSIONS: Drug use increased with age and was twice as common in women as in men (OR = 2.0). After adjustment for differences in morbidity, visits to the doctor, and other factors the gender difference was significantly reduced (OR = 1.4). Higher drug use in women was attributed to women's higher level of physical distress (especially headache), higher numbers of visits to the doctor, and a higher proportion of reported chronic diseases (especially eczema, migraine) and depression compared with men.

Entities:  

Mesh:

Year:  1994        PMID: 7721530     DOI: 10.1093/ije/23.6.1262

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  16 in total

1.  [The German Cardiovascular Disease Prevention Study: social gradient in use of drugs with a potentially addictive nature. An analysis of selected indications groups].

Authors:  J Breckenkamp; U Laaser
Journal:  Med Klin (Munich)       Date:  1999-06-15

2.  Prescribed-drug utilization and polypharmacy in a general population in Greece: association with sociodemographic, health needs, health-services utilization, and lifestyle factors.

Authors:  E Pappa; N Kontodimopoulos; A A Papadopoulos; Y Tountas; D Niakas
Journal:  Eur J Clin Pharmacol       Date:  2010-11-11       Impact factor: 2.953

3.  Polypharmacy and excessive polypharmacy in octogenarians and older acutely hospitalized patients.

Authors:  Christoph Strehblow; Michael Smeikal; Peter Fasching
Journal:  Wien Klin Wochenschr       Date:  2014-01-21       Impact factor: 1.704

4.  Stress and use of over-the-counter analgesics: prevalence and association among Danish 25 to 44-year-olds from 1994 to 2005.

Authors:  Vibeke Koushede; Ola Ekholm; Bjørn E Holstein; Anette Andersen; Ebba Holme Hansen
Journal:  Int J Public Health       Date:  2010-09-01       Impact factor: 3.380

5.  Sociodemographic factors related to self-medication in Spain.

Authors:  A Figueiras; F Caamaño; J J Gestal-Otero
Journal:  Eur J Epidemiol       Date:  2000-01       Impact factor: 8.082

6.  Impact of chronic pain on health care seeking, self care, and medication. Results from a population-based Swedish study.

Authors:  H I Andersson; G Ejlertsson; I Leden; B Scherstén
Journal:  J Epidemiol Community Health       Date:  1999-08       Impact factor: 3.710

7.  Perception and knowledge of medicines of primary schoolchildren: the influence of age and socioeconomic status.

Authors:  Katerina Bozoni; Maria Kalmanti; Sofia Koukouli
Journal:  Eur J Pediatr       Date:  2005-10-13       Impact factor: 3.183

Review 8.  Pharmacoeconomics and aging.

Authors:  Silvia Bustacchini; Andrea Corsonello; Graziano Onder; Enrico Eugenio Guffanti; Flavio Marchegiani; Angela Marie Abbatecola; Fabrizia Lattanzio
Journal:  Drugs Aging       Date:  2009-12       Impact factor: 3.923

9.  Antacid (A02A) and antiulcer (A02B) drug prescription patterns: predicting factors, dosage and treatment duration.

Authors:  M M Morales Suárez-Varela; M A Pérez-Benajas; V J Girbes Pelechano; A Llopis-González
Journal:  Eur J Epidemiol       Date:  1998-06       Impact factor: 8.082

10.  Prescription and non-prescription medicine use in Denmark: association with socio-economic position.

Authors:  Merete W Nielsen; Ebba Holme Hansen; Niels Kristian Rasmussen
Journal:  Eur J Clin Pharmacol       Date:  2003-10-02       Impact factor: 2.953

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.