The association between alcohol use trajectories from adolescence to adulthood and cannabis use disorder in adulthood: a 22-year longitudinal study

Background: Due to the increasing prevalence of cannabis use disorder (CUD), the impact of cannabis use on public health may be significant. Objective: The present study seeks the possible precursors (e.g., alcohol use) of CUD in order to minimize the potential negative consequences of CUD such as impaired coordination and performance. Method: The Harlem Longitudinal Development Study included 674 participants (53% African Americans, 47% Puerto Ricans), with 60% females (n=405) from a six wave survey. We used a growth mixture model to obtain the trajectories of alcohol use from the mean ages of 14 to 36. To examine the associations between alcohol use trajectories and CUD, we used logistic regression analyses with the indicator of CUD as the dependent variable and the indicator of membership in each trajectory group as the independent variables. Results: A three alcohol use trajectory group model was selected. Male gender, higher frequency of cannabis use in adolescence, and a lower educational level were associated with an increased likelihood of having CUD. Membership in the increasing alcohol use group (OR=27.44, p < .01; AOR=15.54, p < .01) and the moderate alcohol use group (OR=10.40, p < .05; AOR=8.63, p < .05) were associated with an increased likelihood of having CUD compared with the membership in the no or low alcohol use group. Conclusions: The findings of our study support the hypothesis that addressing alcohol use at an early age could impact later CUD.     

The association between hospitalization for asthma in childhood and alcohol use disorder hospitalization during adolescence and early adulthood among males in an Australian birth cohort

Abstract

Objective: Associations between asthma and a range of mental disorders have been increasingly reported from cross-sectional studies. The aim of this study is to investigate whether hospitalization for asthma during childhood is associated with an increased risk of hospitalization for alcohol use disorders during adolescence and early adulthood. Method: This study used a population-based birth-cohort design and included males (n?=?56369) born between 1980 and 1984 in Western Australia (WA). Hospitalizations for asthma and alcohol use disorders were identified using ICD-9 codes and ICD-10 codes. Survival analysis and multivariate Poisson regression model were used in the analysis. Results: The risk of alcohol use disorder hospitalization was significantly higher among participants who had been hospitalized for asthma during ages 3–6 years and 12–18 years. Conclusion: In this cohort study of Western Australian males, hospitalizations for asthma during childhood were associated with an increased risk of alcohol use disorder hospitalization among males.     

Evidence of increasing age of onset of cannabis use among younger Australians

Aim To determine whether declines in the prevalence of cannabis use in Australia have been accompanied by changes in age of onset of cannabis use. Design A retrospective cohort study. To account for right censoring error we contrasted the mean age of onset for comparable age groups across the four surveys conducted from 1998 to 2007. Kaplan–Meier failure graphs were used to describe how the cumulative risk of first use of cannabis varied across birth cohorts born from 1947 to 1993. Setting Australian data collected in the nationally representative, triennial, National Drug Strategy Household Surveys (NDSHS) Participants A total of 88 268 Australian household residents aged 14 years and older. Measurements Life‐time use of cannabis and age of first use. Findings For respondents under the age of 20 years, mean age of first use of cannabis has increased from 14.6 years in 1998 to 15.2 years in 2007. Conclusions The decline in cannabis use prevalence that has occurred since 1998 in Australia has been accompanied by an increase in age of first use among those aged under 20 years.     

The natural course of cannabis use, abuse and dependence during the first decades of life

AIMS: There has been little available information on the long-term natural course, persistence and remission of cannabis use, abuse and dependence. The current study estimated rates and risk factors associated with stability and variation in cannabis use patterns, cannabis abuse and cannabis dependence in a community sample over a 10-year period. DESIGN, SETTING AND PARTICIPANTS: Prospective longitudinal, epidemiological study with a 4- and 10-year follow-up of a community sample (n = 3021) aged 14-24 years at baseline in Munich, Germany. MEASUREMENTS: Cannabis use, abuse and dependence and associated risk factors were assessed by face-to-face interviews using the Munich Composite International Diagnostic Interview. Findings At baseline, one-third of the sample (34.2%) had used cannabis at least once. The cumulative incidence of cannabis use 10 years later was 50.7%. Fifty-six per cent of all repeated users (five times or more) at baseline reported cannabis use at 4-year follow-up. Ten years later, this proportion had decreased slightly to only 46.3%. Repeated (five times or more) users were almost three times more likely to report repeated use at 10-year follow up (OR = 2.8, 95% CI = 1.6-4.7), compared with those who had used cannabis fewer times. Peer use of cannabis, life-events and alcohol dependence also predicted use of cannabis at 10-year follow-up. CONCLUSIONS: Among youth who have used cannabis repeatedly (five times or more) cannabis use is fairly stable and rates of remission relatively low until age 34 years. Patterns of progression suggest that early targeted preventive measures should delay first use and reduce the number of experiences using cannabis, as these factors appear critical in progression to persistent cannabis use and cannabis dependence.     

Determinants of alcohol use among young males in two Indian states: A population-based study

Objectives

There is insufficient evidence about the determinants of alcohol use amongst young people in India and other low-and middle-income countries, despite alcohol's high contribution to disease burden and increasing consumption in this population. We aimed to identify and estimate the determinants of alcohol use in a representative sample of 2716 young men from Bihar and Uttar Pradesh who participated in the ‘Understanding the Lives of Adolescents and Young Adults’ (UDAYA) study.

Methods

First, we developed an exploratory conceptual framework of potential alcohol use determinants in the study settings based on available literature. We then estimated the effects of 35 potential alcohol use determinants identified in the conceptual framework (including 14 latent factors identified through exploratory factor analysis) on any alcohol use in the past 3 years and regular alcohol use amongst past three-year drinkers, using mixed-effects logistic models. The determinants explored were operationalised using longitudinal data from the UDAYA study.

Results

Our adjusted models identified 18 determinants for past 3-year alcohol use and 12 determinants for regular use. Distal determinants (e.g., socioeconomic status), intermediate determinants (e.g., parental alcohol use, media use), and proximal determinants (e.g., emotional regulation, early tobacco use) were identified. Geographical variations in both outcomes indicate potential differences in unmeasured community-level determinants (e.g., alcohol availability and acceptability).

Conclusions

Our findings extend the generalizability of several known determinants across settings, yet highlight the importance of addressing alcohol use in young people as a complex and context-dependent issue. Many identified determinants (e.g., education, media use, poor parental support, early tobacco use) are amenable to intervention through multi-sectoral prevention programs/policies. Such determinants should be the focus of ongoing policy/intervention development efforts in the region, and our revised conceptual framework may inform further research in India or similar South Asian settings.     

Patterns and correlates of cannabis use among individuals with HIV/AIDS in Maritime Canada

BACKGROUND:

The prevalence of cannabis use in HIV-infected individuals is high and its long-term effects are unclear.

METHODS:

The prevalence, perceived benefits and consequences, and predictors of cannabis use were studied using a cross-sectional survey in two immunodeficiency clinics in Maritime Canada.

RESULTS:

Current cannabis use was identified in 38.5% (87 of 226) of participants. Almost all cannabis users (85 of 87 [97.7%]) acknowledged its use for recreational purposes, with 21.8% (19 of 87) reporting medicinal cannabis use. The majority of patients enrolled in the present study reported mild or no symptoms related to HIV (n=179). Overall, 80.5% (70 of 87) of the cannabis-using participants reported a symptom-relieving benefit, mostly for relief of stress, anorexia or pain. Participants consumed a mean (± SD) of 18.3±21.1 g of cannabis per month and spent an average of $105.15±109.87 on cannabis per month. Cannabis use was associated with rural residence, lower income level, driving under the influence of a substance, and consumption of ecstasy and tobacco. Income level, ecstasy use and tobacco use were retained as significant predictors in regression modelling. Cannabis use was not associated with adverse psychological outcomes.

DISCUSSION:

Prolonged previous cannabis consumption and the substantial overlap between recreational and medicinal cannabis use highlight the challenges in obtaining a tenable definition of medicinal cannabis therapy.     

Trajectories of body mass index and risk of incident hypertension among a normal body mass index population: A prospective cohort study

It is unclear whether there are different body mass index (BMI) trajectories among a population with normal BMI levels, and the association between BMI patterns and incident hypertension is not well characterized. This prospective cohort study includes surveys conducted at baseline and three follow‐ups. 3939 participants who are free of hypertension at baseline or first two follow‐ups were enrolled. At baseline, the age of participants ranged from 35 to 82 years and the mean age was 45.9 years. The BMI trajectories were identified using latent mixture modeling with data from the baseline and first two follow‐ups. The effects of different BMI trajectories on the development of hypertension were analyzed using a Cox proportional hazard model. Four distinct BMI trajectories were identified over the study period (2004‐2010): normal‐stable (n = 1456), normal‐increasing (n = 2159), normal‐fluctuated (n = 166), and normal‐sharp‐increasing (n = 158). Relative to the normal‐stable BMI group, the hazard ratios (HRs) and 95% confidence intervals (CIs) after adjustment for confounding factors of the normal‐increasing, normal‐fluctuated, and normal‐sharp‐increasing groups were 1.244 (1.103‐1.402), 1.331 (1.008‐1.756), and 1.641 (1.257‐2.142), respectively. Additionally, subgroup analysis showed that the normal‐fluctuated BMI trajectory was associated with a significantly higher risk of hypertension only in women (HR = 1.362; 95% CI = 1.151‐1.611). The BMI trajectories were significant predictors of hypertension incidence, and increasing BMI trajectories within the currently designated normal range were associated with an increased hypertension risk, especially in women.