Are changes in drinking related to changes in cannabis use among <scp>S</scp>wedish adolescents? <scp>A</scp> time–series analysis for the period 1989–2016

Gripe, Isabella; Danielsson, Anna–Karin; Ramstedt, Mats

doi:10.1111/add.14244

Cited by 10 publications

(7 citation statements)

References 31 publications

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“…Some studies showed a negative association between marijuana and alcohol so that more use of one was associated with less use of the other (e.g., Alter et al, 2006;Chaloupka & Laixuthai, 1997;Crost & Guerrero, 2012;DiNardo & Lemieux, 2001), a pattern described as substitution. However, other analyses showed a positive association between marijuana and alcohol use, suggesting that use of one substance facilitates use of the other (e.g., Gripe et al, 2018;Gunn et al, 2018;Jones et al, 2018;Keith et al, 2015;Metrik et al, 2018;O'Hara et al, 2016;Pacula, 1998;Terry-McElrath et al, 2013;Williams et al, 2004;Yörük & Yörük, 2011), a pattern described as complementarity.…”

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confidence: 96%

Complementarity in daily marijuana and alcohol among emerging adults.

Ito¹,

Cordova²,

Skrzynski³

et al. 2021

Psychology of Addictive Behaviors

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Objective: The relationship between marijuana and alcohol use among late adolescents was examined as whether marijuana use was related to quantity of alcohol consumed that day, and whether changes in marijuana and alcohol use frequency over 3 years were related. Method: College students (n = 375) reported marijuana and alcohol use for 28 days over 3 years. Results: Within-day analyses showed that more alcohol was consumed on days on which marijuana was used. Co-use varied by alcohol use problems, day of week, and year in study; the relation between marijuana and alcohol use was stronger among those who reported less problematic alcohol use, on weekdays, and as time increased. Daily level co-use relations also differed marginally by gender. At the annual level, there was a marginal relation between changes in use such that increasing use of one substance over time was weakly associated with increased use of the other substance over the same time period. Conclusions: Results add to the emerging conclusion of complementary marijuana and alcohol co-use within a single day, showing it occurs for both women and men, across a full range of marijuana use, and increases with time while being affected by alcohol use problems and day of week. The overall strong co-use relationship highlights risky behavior among late adolescents and supports an emphasis on common underlying substance use causes. However, the different pattern when assessed yearly demonstrates the importance of tailoring the timescale of analysis to the specific substance use question. Public Health Significance StatementResults show that late adolescents making the transition to college co-use marijuana and alcohol within individual days, with marijuana use on a particular day associated with more drinks consumed the same day. The relationship between daily marijuana and alcohol use was weaker among those with more problematic alcohol use, on weekends, and marginally so among men. Marijuana use also showed a stronger relation to alcohol use across the measurement period, suggesting co-use risk increased across the college transition. The consistent evidence of within-day co-use suggests substance use interventions need to explicitly consider motivations for and target co-use.

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mentioning

confidence: 96%

Complementarity in daily marijuana and alcohol among emerging adults.

Ito¹,

Cordova²,

Skrzynski³

et al. 2021

Psychology of Addictive Behaviors

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“…Omar et al extract words from article titles and propose a novel hybrid neural network model based on ARIMA model to forecast sales [ 26 ]. In Sweden, researchers use it to estimate the association between cannabis and alcohol use among teenagers [ 27 ]. Cortes et al also try to estimate the temporal patterns of dengue incidence in two Brazilian cities through ARIMA model [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models

Shao

Lou³

et al. 2022

BMC Med Res Methodol

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Objective To describe the temporal trend of the number of new congenital heart disease (CHD) cases among newborns in Jinhua from 2019 to 2020 and explored an appropriate model to fit and forecast the tendency of CHD. Methods Data on CHD from 2019 to 2020 was collected from a health information system. We counted the number of newborns with CHD weekly and separately used the additive Holt-Winters ES method and ARIMA model to fit and predict the number of CHD for newborns in Jinhua. By comparing the mean square error, rooted mean square error and mean absolute percentage error of each approach, we evaluated the effects of different approaches for predicting the number of CHD in newborns. Results A total of 1135 newborns, including 601 baby girls and 534 baby boys, were admitted for CHD from HIS in Jinhua during the 2-year study period. The prevalence of CHD among newborns in Jinhua in 2019 was 0.96%. Atrial septal defect was diagnosed the most frequently among all newborns with CHD. The number of CHD cases among newborns remained stable in 2019 and 2020. There were fewer cases in spring and summer, while cases peaked in November and December. The ARIMA(2,1,1) model relatively offered advantages over the additive Holt-winters ES method in predicting the number of newborns with CHD, while the accuracy of ARIMA(2,1,1) was not very ideal. Conclusions The diagnosis of CHD is related to many risk factors, therefore, when using temporal models to fit and predict the data, we must consider such factors’ influence and try to incorporate them into the models.

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“…The availability of cannabis has increased in Sweden during the past 10 years, although cannabis use has been quite stable during the last 20 years, with self-reported past-month use at about 2–4% among young people (16–29 years) [ 21 ]. There has, however, been a slight increase in frequent cannabis use among 16–19-year olds, where those reporting cannabis use have increased their use from an average of four times in 1989 to 13 times in 2016 [ 22 ]. Also, an increased cannabis potency in recent years might imply higher rates of harmful effects requiring healthcare.…”

Section: Discussionmentioning

confidence: 99%

Cannabis use disorder in relation to socioeconomic factors and psychiatric comorbidity: A cluster analysis of three million individuals born in 1970–2000

Rabiee

Lundin

Agardh

et al. 2022

Scand J Public Health

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Background: Cannabis use disorder (CUD) is one of the main reasons for seeking substance use treatment. It is thus important to monitor and increase knowledge of individuals with CUD utilizing healthcare. We aimed to examine the number of CUD diagnoses over time, compare individuals with CUD with those without and identify subgroups based on CUD diagnosis, sex, birth year, socioeconomic factors and psychiatric comorbidity. Methods: A Swedish, population-based study with 3,307,759 individuals, born in 1970–2000, with register data extending to 2016. K-mode cluster analysis was used to identify potential subgroups. Results: The number of individuals with a CUD diagnosis was 14,046 (0.42%). CUD diagnoses increased over time (born 1990–1994: 61 per 100,000, born 1995–2000: 107 per 100,000, by 2016). A majority of those with a CUD had another psychiatric diagnosis (80%, compared with 19% for those without CUD). Four clusters were identified. Cluster 1 comprised mainly men with low income and substance use disorders, clusters 2, 3 and 4 comprised mainly women with higher proportions of mood-related, neurotic and stress-related and behavioural disorders. Conclusions: There was an increase in CUD diagnoses in Sweden over time, especially among younger birth cohorts. Individuals with CUD were more often male, from younger birth cohorts, with lower education and income than those without CUD. Men and women with CUD exhibited differences in education, income and psychiatric comorbidity. Our results demonstrate the importance of monitoring the impact of socioeconomic factors and psychiatric comorbidity in relation to CUD.

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Are changes in drinking related to changes in cannabis use among Swedish adolescents? A time–series analysis for the period 1989–2016

Cited by 10 publications

References 31 publications

Complementarity in daily marijuana and alcohol among emerging adults.

Complementarity in daily marijuana and alcohol among emerging adults.

Prediction of congenital heart disease for newborns: comparative analysis of Holt-Winters exponential smoothing and autoregressive integrated moving average models

Cannabis use disorder in relation to socioeconomic factors and psychiatric comorbidity: A cluster analysis of three million individuals born in 1970–2000

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