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

被引:14
|
作者
Wells, J. Elisabeth [1 ]
Degenhardt, Louisa [2 ,3 ]
Bohnert, Kipling M. [2 ]
Anthony, James C. [2 ]
Scott, Kate A. [4 ]
机构
[1] Univ Otago, Dept Publ Hlth & Gen Practice, Christchurch 8140, New Zealand
[2] Michigan State Univ, Dept Epidemiol, E Lansing, MI 48824 USA
[3] Univ New S Wales, Natl Drug & Alcohol Res Ctr, Sydney, NSW 2052, Australia
[4] Univ Otago, Dept Psychol Med, Wellington, Wellington Sout, New Zealand
关键词
Cannabis; Marijuana; Epidemiology; New Zealand; Alternating logistic regression; Spatial clustering; ALTERNATING LOGISTIC REGRESSIONS; DRUG-USE; UNITED-STATES; MARIJUANA USE; PREVALENCE; DEPENDENCE; PATTERNS;
D O I
10.1016/j.drugalcdep.2008.09.002
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
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 neighbours 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. (C) 2008 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:309 / 316
页数:8
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