Literature DB >> 29513617

Dynamic transitions between marijuana use and cigarette smoking among US adolescents and emerging adults.

Bin Yu1, Xinguang Chen1, Yan Wang1.   

Abstract

BACKGROUND: Marijuana and tobacco are considered two closely related substances. It is of great significance to understand the mutual impact of marijuana and cigarette use when more states in the US have legalized marijuana use.
OBJECTIVE: This study aims to investigate the transitions between marijuana and cigarette use among adolescents and emerging adults.
METHOD: Guided by the probabilistic discrete events systems (PDES) theory, a five-stage model with 21 transition paths was constructed to quantify dynamic transitions between marijuana and cigarette use. The five stages were NU: Never-user, MU: Current marijuana user, CU: Current cigarette user, MCU: Current marijuana-cigarette user, and FU: Former-user. The proposed five-stage PDES model was tested using the 2013 National Survey on Drug Use and Health data (N = 26,665, 50.45% male). Transition probabilities were estimated using the Moore-Penrose generalized inverse matrix method. RESULT: Among the adolescents, 51.14% of the CUs transited to use marijuana (MCU/MU), higher than the proportion of those who first used marijuana and then transferred to cigarettes (MCU/CU) (41.66%). The quitting rates for MUs, CUs and MCUs were 29.38%, 25.93% and 27.76%, respectively. Of the total FUs, 31.90% transited to MUs, 17.06% to CUs, and 17.39% to MCUs. Among the young adults, more people progressed from MUs to CUs. Transition probabilities by single year of age were also estimated.
CONCLUSION: This is the first study to quantify marijuana-cigarette transitions. Study findings indicate more cigarette-to-marijuana transitions for adolescents and more marijuana-to-cigarette transitions for emerging adults. Future intervention programs should consider this age-related difference in marijuana-cigarette use transitions.

Entities:  

Keywords:  PDES; cigarette; marijuana; state probability; transition probability

Mesh:

Year:  2018        PMID: 29513617      PMCID: PMC6237190          DOI: 10.1080/00952990.2018.1434535

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  28 in total

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Journal:  Inf Sci (N Y)       Date:  2010-02-01       Impact factor: 6.795

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Journal:  Med Anthropol Q       Date:  2002-12
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