Marijuana legalization and historical trends in marijuana use among US residents aged 12-25: results from the 1979-2016 National Survey on drug use and health

被引:82
作者
Yu, Bin [1 ]
Chen, Xinguang [1 ]
Chen, Xiangfan [2 ]
Yan, Hong [2 ]
机构
[1] Univ Florida, Dept Epidemiol, Gainesville, FL 32608 USA
[2] Wuhan Univ, Dept Epidemiol & Hlth Stat, Sch Hlth Sci, Wuhan 430071, Peoples R China
关键词
Marijuana; Adolescents and young adults; HAPC model; United States; MEDICAL CANNABIS LAWS; UNITED-STATES; PERIOD; ADOLESCENTS; PREVALENCE;
D O I
10.1186/s12889-020-8253-4
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Marijuana is the most commonly used illicit drug in the United States. More and more states legalized medical and recreational marijuana use. Adolescents and emerging adults are at high risk for marijuana use. This ecological study aims to examine historical trends in marijuana use among youth along with marijuana legalization. Method Data (n = 749,152) were from the 31-wave National Survey on Drug Use and Health (NSDUH), 1979-2016. Current marijuana use, if use marijuana in the past 30 days, was used as outcome variable. Age was measured as the chronological age self-reported by the participants, period was the year when the survey was conducted, and cohort was estimated as period subtracted age. Rate of current marijuana use was decomposed into independent age, period and cohort effects using the hierarchical age-period-cohort (HAPC) model. Results After controlling for age, cohort and other covariates, the estimated period effect indicated declines in marijuana use in 1979-1992 and 2001-2006, and increases in 1992-2001 and 2006-2016. The period effect was positively and significantly associated with the proportion of people covered by Medical Marijuana Laws (MML) (correlation coefficients: 0.89 for total sample, 0.81 for males and 0.93 for females, all three p values < 0.01), but was not significantly associated with the Recreational Marijuana Laws (RML). The estimated cohort effect showed a historical decline in marijuana use in those who were born in 1954-1972, a sudden increase in 1972-1984, followed by a decline in 1984-2003. Conclusion The model derived trends in marijuana use were coincident with the laws and regulations on marijuana and other drugs in the United States since the 1950s. With more states legalizing marijuana use in the United States, emphasizing responsible use would be essential to protect youth from using marijuana.
引用
收藏
页数:10
相关论文
共 48 条
[21]   Do Medical Marijuana Laws Increase Marijuana Use? Replication Study and Extension [J].
Harper, Sam ;
Strumpf, Erin C. ;
Kaufman, Jay S. .
ANNALS OF EPIDEMIOLOGY, 2012, 22 (03) :207-212
[22]   Medical marijuana laws and adolescent marijuana use in the USA from 1991 to 2014: results from annual, repeated cross-sectional surveys [J].
Hasin, Deborah S. ;
Wall, Melanie ;
Keyes, Katherine M. ;
Cerda, Magdalena ;
Schulenberg, John ;
O'Malley, Patrick M. ;
Galea, Sandro ;
Pacula, Rosalie ;
Feng, Tianshu .
LANCET PSYCHIATRY, 2015, 2 (07) :601-608
[23]   Inconsistencies in the assumptions linking punitive sanctions and use of cannabis and new psychoactive substances in Europe [J].
Hughes, Brendan ;
Matias, Joao ;
Griffiths, Paul .
ADDICTION, 2018, 113 (12) :2155-2157
[24]   Age, period, and cohort effects in marijuana and alcohol incidence: United States females and males, 1961-1990 [J].
Johnson, RA ;
Gerstein, DR .
SUBSTANCE USE & MISUSE, 2000, 35 (6-8) :925-948
[25]   Trends and age, period and cohort effects for marijuana use prevalence in the 1984-2015 US National Alcohol Surveys [J].
Kerr, William C. ;
Lui, Camillia ;
Ye, Yu .
ADDICTION, 2018, 113 (03) :473-481
[26]   Effects of State Medical Marijuana Laws on Adolescent Marijuana Use [J].
Lynne-Landsman, Sarah D. ;
Livingston, Melvin D. ;
Wagenaar, Alexander C. .
AMERICAN JOURNAL OF PUBLIC HEALTH, 2013, 103 (08) :1500-1506
[27]   Trends in U.S., past-year marijuana use from 1985 to 2009: An age-period-cohort analysis [J].
Miech, Richard ;
Koester, Stephen .
DRUG AND ALCOHOL DEPENDENCE, 2012, 124 (03) :259-267
[28]  
NIDA, 2017, DRUG TEST SCH
[29]  
NORML, 2015, MAR LAW REF TIM
[30]  
O'Brien Robert.M., 2014, Age-Period-Cohort Models: Approaches and Analyses with Aggregate- Level Data