Literature DB >> 18990513

Geographical clustering of cannabis use: results from the New Zealand Mental Health Survey 2003-2004.

J Elisabeth Wells1, Louisa Degenhardt, Kipling M Bohnert, James C Anthony, Kate M Scott.   

Abstract

BACKGROUND: In epidemiology, it always has been important to study local area patterns of disease occurrence. New methods to quantify local area and household clustering of disease emerged late in the 19th century and were refined during the 20th century. Nonetheless, multi-level models to estimate local area clustering of illegal drug use did not appear until the 1990s, and to date, there is just one study with estimates of local neighbourhood clustering of cannabis use, based on a United States sample. Here, seeking the first replication of that single prior study, we estimate the degree to which cannabis use might cluster within neighbourhoods of New Zealand (NZ), and we also study higher level clustering and suspected individual-level determinants of recent cannabis use.
METHODS: A national probability community sample (n=12,992) of adults aged 16 years or more with standardized assessment of cannabis use. Alternating logistic regression produced estimates for cannabis clustering.
RESULTS: In NZ, use of cannabis was common: 41.6% had ever used it and 13.1% had used it in the past year. There was clustering within the smallest local areas (pairwise odds ratio=1.3-1.5) but not within larger government districts (PWOR=1.02). Age, male sex, ethnicity, education, and marital status were all associated with cannabis use, but did not account for observed clustering.
CONCLUSIONS: Neighborhood clustering of recent cannabis use has emerged in New Zealand, as in the US. Standard individual-level characteristics explain only some of this clustering. Other explanations must be sought, perhaps including personal networks and local supply.

Entities:  

Mesh:

Year:  2008        PMID: 18990513      PMCID: PMC2706262          DOI: 10.1016/j.drugalcdep.2008.09.002

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  15 in total

1.  Use of alternating logistic regression in studies of drug-use clustering.

Authors:  G V Bobashev; J C Anthony
Journal:  Subst Use Misuse       Date:  2000 May-Jun       Impact factor: 2.164

Review 2.  Prevalence and correlates of cannabis use in developed and developing countries.

Authors:  Wayne Hall; Louisa Degenhardt
Journal:  Curr Opin Psychiatry       Date:  2007-07       Impact factor: 4.741

3.  Epidemiological patterns of extra-medical drug use in the United States: evidence from the National Comorbidity Survey Replication, 2001-2003.

Authors:  Louisa Degenhardt; Wai Tat Chiu; Nancy Sampson; Ronald C Kessler; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2007-05-03       Impact factor: 4.492

4.  Clusters of marijuana use in the United States.

Authors:  G V Bobashev; J C Anthony
Journal:  Am J Epidemiol       Date:  1998-12-15       Impact factor: 4.897

5.  Bringing context back into epidemiology: variables and fallacies in multilevel analysis.

Authors:  A V Diez-Roux
Journal:  Am J Public Health       Date:  1998-02       Impact factor: 9.308

6.  Estimation of design effects and diarrhea clustering within households and villages.

Authors:  J Katz; V J Carey; S L Zeger; A Sommer
Journal:  Am J Epidemiol       Date:  1993-12-01       Impact factor: 4.897

7.  Marijuana use in New Zealand, 1990 and 1998.

Authors:  A Field; S Casswell
Journal:  N Z Med J       Date:  2001-08-10

8.  Persistence and perceived consequences of cannabis use and dependence among young adults: implications for policy.

Authors:  R Poulton; T E Moffitt; H Harrington; B J Milne; A Caspi
Journal:  N Z Med J       Date:  2001-12-14

9.  Detecting patterns of occupational illness clustering with alternating logistic regressions applied to longitudinal data.

Authors:  John S Preisser; Thomas A Arcury; Sara A Quandt
Journal:  Am J Epidemiol       Date:  2003-09-01       Impact factor: 4.897

10.  A different kind of contextual effect: geographical clustering of cocaine incidence in the USA.

Authors:  K R Petronis; J C Anthony
Journal:  J Epidemiol Community Health       Date:  2003-11       Impact factor: 3.710

View more
  6 in total

1.  Early cannabis use and estimated risk of later onset of depression spells: Epidemiologic evidence from the population-based World Health Organization World Mental Health Survey Initiative.

Authors:  Ron de Graaf; Mirjana Radovanovic; Margriet van Laar; Brian Fairman; Louisa Degenhardt; Sergio Aguilar-Gaxiola; Ronny Bruffaerts; Giovanni de Girolamo; John Fayyad; Oye Gureje; Josep Maria Haro; Yueqin Huang; Stanislav Kostychenko; Jean-Pierre Lépine; Herbert Matschinger; Maria Elena Medina Mora; Yehuda Neumark; Johan Ormel; Jose Posada-Villa; Dan J Stein; Hisateru Tachimori; J Elisabeth Wells; James C Anthony
Journal:  Am J Epidemiol       Date:  2010-06-09       Impact factor: 4.897

2.  Clustering of Black Adolescent Marijuana Use in Low-Income, Urban Neighborhoods.

Authors:  Beth A Reboussin; Adam J Milam; Kerry M Green; Nicholas S Ialongo; C Debra M Furr-Holden
Journal:  J Urban Health       Date:  2016-02       Impact factor: 3.671

3.  Social influences on the clustering of underage risky drinking and its consequences in communities.

Authors:  Beth A Reboussin; Eun-Young Song; Mark Wolfson
Journal:  J Stud Alcohol Drugs       Date:  2012-11       Impact factor: 2.582

4.  The social norms of birth cohorts and adolescent marijuana use in the United States, 1976-2007.

Authors:  Katherine M Keyes; John E Schulenberg; Patrick M O'Malley; Lloyd D Johnston; Jerald G Bachman; Guohua Li; Deborah Hasin
Journal:  Addiction       Date:  2011-07-27       Impact factor: 6.526

5.  Sample size estimation for alternating logistic regressions analysis of multilevel randomized community trials of under-age drinking.

Authors:  Beth A Reboussin; John S Preisser; Eun-Young Song; Mark Wolfson
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2012-07-01       Impact factor: 2.483

6.  Geographic clustering of underage drinking and the influence of community characteristics.

Authors:  Beth A Reboussin; John S Preisser; Eun-Young Song; Mark Wolfson
Journal:  Drug Alcohol Depend       Date:  2009-09-08       Impact factor: 4.492

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.