College attendance type and subsequent alcohol and marijuana use in the U.S

The prevalence of kratom use and association with co-occurring substance use among adolescents: a 2022 Bangkok behavioral surveillance survey, Thailand

Thailand removed kratom from the list of prohibited substances in 2021, possession and consumption of Kratom is now legal. It is prohibited from selling Kratom to anyone under the age of 18 and/or who is pregnant or breastfeeding. While there are benefits from kratom use with few reported adverse effects, escalating dose and increased use frequency raise the risk for toxic events in the setting of polysubstance use or development of a use disorder. We utilized data from the Behavior Surveillance Survey in Bangkok (n = 5,740) to examine the use of kratom with other substances use in the 12 months before the survey. The prevalence of past-year kratom use among students was 9.3% (95%CI = 8.7-9.9), with higher proportions of males (12.4 versus 6.1%, p < 0.001). The factors associated with past 12-month kratom use were academic performance (Medium GPA; AOR = 2.41, 95% CI = 1.76-3.29; Low GPA; AOR = 4.15, 95% CI = 2.94-5.87), close friend use substance (AOR = 1.94, 95% CI = 1.44-2.59), cannabis use (AOR = 6.84, 95% CI = 4.61-10.15), consumed alcohol (AOR = 2.32, 95% CI = 1.77-3.02), smoked conventional cigarettes (AOR = 4.20, 95% CI = 3.16-5.58), used e-cigarettes (AOR = 4.37, 95% CI = 3.30-5.79) used illicit opioids (AOR = 8.13, 95% CI = 4.35-15.18), and other illicit drug use (AOR = 9.15, 95% CI = 3.78-22.14). These findings may be useful for the initial targeting of efforts to reduce adolescent consumption of kratom. Future studies should examine the effect of regulatory policies or other Thai FDA-related policies use of illicit drugs and e-cigarettes on kratom use.

Substance Use and College Completion Among Two-Year and Four-Year College Students From a Nationally Representative Longitudinal Study

Young adults from disadvantaged populations access higher education through two-year colleges, but substance use research among young adults focuses on four-year colleges. Filling this research gap is important given recent policy changes that have increased marijuana availability for young adults. This study uses a subsample of college-enrolled participants from the National Longitudinal Study of Adolescent to Adult Health (Add Health) to evaluate whether substance use predicts educational attainment seven years later, comparing 888 students attending a two-year college with 1,398 matched students attending a four-year college. Matched students were identified using a propensity score method so that students were comparable on 15 measures, including precollege grades, precollege test scores, and precollege substance use. Compared with similar four-year college students, two-year college students were more likely to use methamphetamines, cocaine, or marijuana; more likely to report problematic substance use; and less likely to use alcohol. Two-year college students who used methamphetamines in the past year (incidence rate ratio (IRR) = 1.51, 95% CI (1.12, 2.04), p = 0.007) or past month (IRR = 1.69, 95% CI (1.09, 2.61), p = 0.02) or completed alcohol abuse treatment (IRR = 1.58, 95% CI (1.21, 2.07), p < 0.001) were less likely to complete college than two-year college students without those risk factors. Among the matched four-year college students, students who reported that drugs interfered with school or work in the past year (IRR = 1.84 (1.28, 2.64), p = 0.001), used cocaine in the past year (IRR = 1.47 (1.04, 2.08), p = 0.03), and used marijuana in the past year (IRR = 1.30 (1.07, 1.57), p = 0.007), past month (IRR = 1.31 (1.07, 1.61), p = 0.01), or ≥5 times in the past month (IRR = 1.44 (1.12, 1.85) p = 0.005) were less likely to complete college than the matched four-year college students without those risk factors. Substance use interventions should target both two-year and four-year college students. Two-year colleges that better accommodate students who complete substance use treatment may improve these students' completion. Students who use marijuana or cocaine or whose drug use impairs functioning may benefit from an incremental approach of completing a two-year degree prior to transferring to a four-year degree rather than enrolling directly in a four-year program.

Beating trauma: Physical activity to promote resilience against substance use

BACKGROUND

The relationship between adverse childhood experiences (ACEs) and frequent substance use (SU) is not well understood, impeding prevention efforts.

METHODS

We assessed the relationship between ACEs and frequent SU and investigated if different modalities of physical activity (PA) moderate this pathway. The analysis included persons enrolled in the National Longitudinal Study of Adolescent to Adult Health who responded to surveys at Waves I (11-20 years), III (18-27 years), and IV (24-33 years). The impacts of cumulative ACEs and PA modalities on daily cigarette smoking, daily cannabis use, and binge drinking ≥ 3 times a week in emerging and early adulthood were assessed through adjusted logistic regression models.

RESULTS

Among the sample (N=9451), 29.3%, 12.5%, and 7.8% experienced 1, 2, or 3 or more ACEs, respectively. With exception to binge drinking, cumulative ACEs (3+) were strongly associated with daily cannabis use in Wave III (aOR: 2.5; 95% CI: 1.6-3.6) and Wave IV (aOR: 2.1; 95% CI:1.3-3.3) and daily cigarette smoking in Wave III (aOR: 2.4; 95% CI: 1.9-3.0) and Wave IV (aOR: 2.3; 95% CI: 1.8-2.8). No PA modality moderated the ACEs to SU pathway; however, walking for exercise lowered the odds of current and prospective daily cannabis and cigarette use by 20-40%. Strength training, team sports, and individual sport participation were associated with 20-30% reduced risks of future daily cigarette use.

CONCLUSION

The impacts of ACEs exposure on frequent SU persist into emerging and early adulthood. Future research should investigate the potential of PA to improve SU prevention strategies.

Comparing National College Health Assessment with other surveys of cannabis use and binge drinking among young adult college students 2008-2018

Objective: We considered the utility of National College Health Assessment (NCHA) data relative to other national data for studying college students' cannabis use and binge drinking, and drug policy effects. Participants: Survey data on 18-22-year old college students were drawn from the 2008-2018 NCHA, National Survey on Drug Use and Health (NSDUH), Monitoring the Future (MTF), and Healthy Minds Study (HMS). Methods: Prevalence estimates were compared across data sources in terms of level and change from 2008-2018 using linear regressions, separately for men and women. Results: Mean prevalence estimates for 30-day cannabis use and 2-week binge drinking, and linear time trends did not differ significantly among NCHA, NSDUH, and MTF. Conclusions: NCHA prevalence estimates are similar to those from NSDUH and MTF, NCHA has unique strengths, and some weaknesses can be offset. Findings support the value of NCHA for studying college students' substance use and effects of drug policy.

Longitudinal trajectories of marijuana use in tobacco products among young adult Texas college students from 2015 to 2019

AIMS

To measure longitudinal trajectories of marijuana use in four tobacco/nicotine products (hand-rolled cigarettes/spliffs, cigars/blunts, hookah, and e-cigarettes) among young adult Texas college students from 2015 to 2019.

DESIGN

This study used six consecutive waves of data from the marketing and promotions across colleges in Texas project (Project M-PACT), a longitudinal study of the tobacco behaviors of young adult college students. The first four waves were collected every 6 months (fall 2015-spring 2017), and the final two waves were conducted yearly (spring 2018 and 2019). Growth curve models measured trajectories of marijuana use in tobacco products across the 3.5-year period.

SETTING AND PARTICIPANTS

A total of 4857 young adults from 24 colleges in the largest metropolitan areas of Texas, United States (Austin, Dallas, Houston, and San Antonio): mean age = 21.0, SD = 2.3; 64.2% assigned female; 36.1% non-Hispanic white, 31.0% Hispanic, and 33.0% other or combination race/ethnicity.

MEASUREMENTS

Participants completed online surveys assessing their past 6-month use of marijuana in four tobacco products of interest (spliffs, blunts, hookah, and e-cigarettes) and socio-demographic variables (sex, race/ethnicity, age, 2-year/4-year college attendance, and sexual and gender minority identity).

FINDINGS

Observed vaping marijuana in e-cigarettes approximately doubled between the spring of 2015 and the spring of 2019, from 11.8% to 23.9% following a quadratic time trend (linear OR = 0.84, 95% CI = 0.73-0.97, quadratic OR = 1.18, CI = 1.13-1.22). This same time period saw a quadratic decline in using marijuana in hookah (P < 0.001) and no changes in using hand-rolled cigarettes/spliffs or cigars/blunts for marijuana delivery.

CONCLUSIONS

The popularity of nicotine e-cigarettes appears to be expanding the avenues for marijuana delivery among young adults in Texas, United States.

Alcohol Use Disorder Symptoms Reported during Midlife: Results from the Monitoring the Future Study among US Adults at Modal Ages 50, 55, and 60

BACKGROUND

The extent to which adolescent substance use is associated with alcohol use disorder (AUD) symptoms in midlife is not yet fully explored.

METHODS

Longitudinal data from the national Monitoring the Future study was used. The sample included 11,830 12th graders (1976-1987) who were surveyed again at modal ages 50 (37.8%), 55 (46.3%), or 60 (15.8%) in 2008-2019. Approximately 48.7% were male; 81.5% identified as non-Hispanic White. Weighted logistic and multinomial logistic regressions were used to examine associations between past 30-day use of cigarettes, marijuana, and alcohol at age 18, sociodemographics, and a midlife AUD symptom outcome (coded as non-drinking, drinking without AUD [endorsed ≤1 criterion], or AUD symptoms [endorsed 2+ criteria]).

RESULTS

Prevalence of midlife AUD symptoms was 27.1%. Higher relative risk of reporting AUD symptoms (vs. drinking without AUD) was associated with age 18 substance use (any cigarette use [vs. no use], any marijuana use [vs. no use], binge drinking [vs. both no use and drinking at less than binge levels]), being male (vs. female), being non-Hispanic White (vs. non-Hispanic Black), and having a 4-year college degree. Higher relative risk of reporting non-drinking (vs. drinking without AUD) was associated with no 30-day alcohol use at age 18, being non-Hispanic Black or non-Hispanic other (vs. non-Hispanic White), and not having a 4-year college degree.

CONCLUSIONS

Findings suggest substance use at age 18 has meaningful associations with midlife AUD symptoms. Dissemination of prevention and intervention efforts in adolescence and early adulthood may be important for reducing hazardous midlife drinking.

Examining the heterogeneity of polysubstance use patterns in young adulthood by age and college attendance

Substance use in young adulthood and polysubstance users (PSU), in particular, pose unique risks for adverse consequences. Prior research on young adult PSU has identified multiple classes of users, but most work has focused on college students. We examined PSU patterns by age and college attendance during young adulthood in two nationally representative samples. Using National Epidemiological Survey on Alcohol and Related Conditions (NESARC) Wave 1 and NESARC-III data sets, multigroup latent class analysis (MG-LCA) was employed to examine PSU patterns based on age (18-24 vs. 25-34) and determine whether solutions were similar (i.e., statistically invariant) by college attendance/graduation. Classes were estimated by binary past-year use of sedatives, tranquilizers, opioids/painkillers, heroin, amphetamines/stimulants, cocaine, hallucinogens, club drugs, and inhalants, and past-year frequency of alcohol, cigarette, and cannabis use. PSU patterns are largely replicated across waves. Model fit supported 3-class solutions in each MG-LCA: Low frequency-limited-range PSU (alcohol, cigarettes, and cannabis only), medium-to-high frequency limited-range PSU (alcohol, cigarettes, and cannabis only), and extended-range PSU (ER PSU; all substances). Apart from one model, MG-LCA solutions were not invariant by college attendance/graduation, suggesting important differences between these groups. Except for alcohol, cannabis, and cigarette use frequency, results showed that probabilities of illicit and prescription drug use declined in the older age group. Findings also supported examining college and noncollege youth separately when studying PSU. ER PSU may be uniquely vulnerable to coingesting substances, particularly for nongraduates, warranting future research to classify patterns of simultaneous PSU and identify predictors and consequences of high-risk combinations (e.g., alcohol and opioids). (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Solitary alcohol use in adolescence predicts alcohol problems in adulthood: A 17-year longitudinal study in a large national sample of US high school students

BACKGROUND

Identifying risk factors for alcohol use disorder (AUD) is important for public health. The social context of drinking-such as drinking alone-may be an independent and robust early risk marker for AUD symptoms later in life. We evaluated whether solitary alcohol use in adolescence (age 18) and young adulthood (age 23/24) was concurrently associated with binge drinking and prospectively predicted age 35 AUD symptoms, and whether associations differed by sex.

METHODS

Longitudinal data were from the Monitoring the Future study. Surveys were completed by adolescents in 12th grade at age 18 (1976-2002), young adults at age 23/24 (1981-2008), and adults at age 35 (1993-2019). Analyses included past 12-month alcohol users (n = 4464 for adolescent models; n = 4561 for young adult models). Multivariable regression analyses tested whether adolescent and young adult solitary alcohol use was associated concurrently with binge drinking frequency and prospectively with age 35 AUD symptoms.

RESULTS

Solitary alcohol use in adolescence and young adulthood was associated (a) concurrently with binge drinking and (b) prospectively with increased risk of age 35 AUD symptoms (even after controlling for earlier binge drinking, alcohol use frequency, and sociodemographic covariates). Adolescent solitary alcohol use was associated with age 35 AUD symptoms particularly among females; no interaction was observed between sex and young adult solitary alcohol use in predicting age 35 AUD symptoms.

CONCLUSIONS

Adolescent and young adult solitary alcohol use was associated with increased adult AUD symptoms above and beyond other risk factors; adolescent female solitary alcohol users were especially at risk.

Demographic and behavioral factors associated with kratom use among U.S. college students

Objective: Kratom use represents a growing risk for public health. The present study examined demographic and behavioral factors linked with kratom use. Participants: Participants were college students in the United States who participated in the 2019-2020 Healthy Minds Study. Methods: Participants completed survey-based assessment of kratom use and related demographic, behavioral, and mental health variables. Results: Kratom use was linked with being White, male or transgender/gender nonconforming, identifying as a sexual minority, use of alcohol or marijuana, and depressive symptoms. Kratom use was not uniquely linked to exercise or anxiety. Conclusions: The results of the present study can be used to inform initial targeting of efforts to reduce kratom use among college students.

Educational level and alcohol use in adolescence and early adulthood-The role of social causation and health-related selection-The TRAILS Study

Both social causation and health-related selection may influence educational gradients in alcohol use in adolescence and young adulthood. The social causation theory implies that the social environment (e.g. at school) influences adolescents' drinking behaviour. Conversely, the health-related selection hypothesis posits that alcohol use (along other health-related characteristics) predicts lower educational attainment. From past studies it is unclear which of these mechanisms predominates, as drinking may be both a cause and consequence of low educational attainment. Furthermore, educational gradients in alcohol use may reflect the impact of 'third variables' already present in childhood, such as parental socioeconomic status (SES), effortful control, and IQ. We investigated social causation and health-related selection in the development of educational gradients in alcohol use from adolescence to young adulthood in a selective educational system. We used data from a Dutch population-based cohort (TRAILS Study; n = 2,229), including measurements of educational level and drinking at ages around 14, 16, 19, 22, and 26 years (waves 2 to 6). First, we evaluated the directionality in longitudinal associations between education and drinking with cross-lagged panel models, with and without adjusting for pre-existing individual differences using fixed effects. Second, we assessed the role of childhood characteristics around age 11 (wave 1), i.e. IQ, effortful control, and parental SES, both as confounders in these associations, and as predictors of educational level and drinking around age 14 (wave 2). In fixed effects models, lower education around age 14 predicted increases in drinking around 16. From age 19 onward, we found a tendency towards opposite associations, with higher education predicting increases in alcohol use. Alcohol use was not associated with subsequent changes in education. Childhood characteristics strongly predicted education around age 14 and, to a lesser extent, early drinking. We mainly found evidence for the social causation theory in early adolescence, when lower education predicted increases in subsequent alcohol use. We found no evidence in support of the health-related selection hypothesis with respect to alcohol use. By determining initial educational level, childhood characteristics also predict subsequent trajectories in alcohol use.

Educational level, attention problems, and externalizing behaviour in adolescence and early adulthood: the role of social causation and health-related selection-the TRAILS study

Social causation and health-related selection may contribute to educational differences in adolescents' attention problems and externalizing behaviour. The social causation hypothesis posits that the social environment influences adolescents' mental health. Conversely, the health-related selection hypothesis proposes that poor mental health predicts lower educational attainment. From past studies it is unclear which of these mechanisms predominates, as attention problems and externalizing behaviour have the potential to interfere with educational attainment, but may also be affected by differences in the educational context. Furthermore, educational gradients in mental health may reflect the impact of 'third variables' already present in childhood, such as parental socioeconomic status (SES), and IQ. We investigated both hypotheses in relation to educational differences in externalizing behaviour and attention problems throughout adolescence and young adulthood. We used data from a Dutch cohort (TRAILS Study; n = 2229), including five measurements of educational level, externalizing behaviour, and attention problems from around age 14-26 years. First, we evaluated the directionality in longitudinal associations between education, externalizing behaviour, and attention problems with and without adjusting for individual differences using fixed effects. Second, we assessed the role of IQ and parental SES in relation to attention problems, externalizing behaviour, and educational level. Attention problems predicted decreases in education throughout all of adolescence and young adulthood. Differences in parental SES contributed to increases in externalizing behaviour amongst the lower educational tracks in mid-adolescence. Childhood IQ and parental SES strongly predicted education around age 14. Parental SES, but not IQ, also predicted early adolescent attention problems and externalizing behaviour. Our results provide support for the health-related selection hypothesis in relation to attention problems and educational attainment. Further, our results highlight the role of social causation from parental SES in determining adolescent educational level, attention problems, and externalizing behaviour.

Identifying the effect of retail brands on private residential rental prices in Great Britain

This study extends our understanding of the influence of proximity to retail grocery provision on housing rental prices. To achieve this, extensive data on the size and location of retail outlets are combined with neighbourhood rental values for small areas across a two year period, together with varied contextual data for each area. In order to control the influence of many confounding variables in the determination of housing rentals, the technique of propensity score matching is applied. This provides a sophisticated means for the comparison between areas where there is substantial natural variation, rather than manageable controls. For a variety of types of retail brands, only a significant relationship is found between the proximity of a Premium retail outlet and the housing rental value. The findings of this research allow local planning officers to further understand the impact of planning applications on the potential for gentrification and the affordability of neighbouring housing.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s10901-021-09904-2.

Drinking Intensity at Age 29/30 as a Predictor of Alcohol Use Disorder Symptoms at Age 35 in a National Sample

OBJECTIVE

The purpose of this longitudinal study was to identify associations of drinking intensity at age 29/30 with symptoms of alcohol use disorder (AUD) at age 35.

METHOD

Analyses used national longitudinal data from 1,253 individuals (53.5% female) participating in the Monitoring the Future study. Age 29/30 data were collected from 2005 to 2013; age 35 data were collected from 2010 to 2018. Multivariable models regressed age 35 past-5-year AUD symptoms (vs. nondisordered drinking/abstinence) on age 29/30 past-2-week drinking intensity (no/low [0-4] drinking, binge [5-9] drinking, high-intensity [10+] drinking), with key covariates being controlled for.

RESULTS

At age 35, 32.6% (SE = 1.50) of respondents reported AUD symptoms. AUD symptoms at age 35 were reported by 77.5% (SE = 4.79) of participants who reported age 29/30 high-intensity drinking and 60.6% (SE = 3.95) of participants who reported age 29/30 binge drinking. Age 35 past-5-year abstinence was reported by almost no respondents reporting age 29/30 binge drinking or high-intensity drinking. AUD symptoms at age 35 were significantly more likely for those who reported binge (adjusted multivariable odds ratio [AOR] = 5.61, 95% CI [3.79, 8.30], p < .001) or high-intensity (AOR = 12.26, 95% CI [6.70, 22.41], p < .001) drinking versus no/low drinking at age 29/30. The likelihood of having AUD symptoms was significantly higher for high-intensity than for binge drinkers (AOR = 2.18, 95% CI [1.14, 4.19], p = .019).

CONCLUSIONS

Nearly 80% of those young adults who reported engaging in high-intensity drinking (10+ drinks in a row) at age 29/30 later reported AUD symptoms at age 35. High-intensity drinking appears to be a strong prospective marker of risk for AUD symptoms among adults in the United States.

Drinking Intensity at Age 29/30 as a Predictor of Alcohol Use Disorder Symptoms at Age 35 in a National Sample

OBJECTIVE

The purpose of this longitudinal study was to identify associations of drinking intensity at age 29/30 with symptoms of alcohol use disorder (AUD) at age 35.

METHOD

Analyses used national longitudinal data from 1,253 individuals (53.5% female) participating in the Monitoring the Future study. Age 29/30 data were collected from 2005 to 2013; age 35 data were collected from 2010 to 2018. Multivariable models regressed age 35 past-5-year AUD symptoms (vs. nondisordered drinking/abstinence) on age 29/30 past-2-week drinking intensity (no/low [0-4] drinking, binge [5-9] drinking, high-intensity [10+] drinking), with key covariates being controlled for.

RESULTS

At age 35, 32.6% (SE = 1.50) of respondents reported AUD symptoms. AUD symptoms at age 35 were reported by 77.5% (SE = 4.79) of participants who reported age 29/30 high-intensity drinking and 60.6% (SE = 3.95) of participants who reported age 29/30 binge drinking. Age 35 past-5-year abstinence was reported by almost no respondents reporting age 29/30 binge drinking or high-intensity drinking. AUD symptoms at age 35 were significantly more likely for those who reported binge (adjusted multivariable odds ratio [AOR] = 5.61, 95% CI [3.79, 8.30], p < .001) or high-intensity (AOR = 12.26, 95% CI [6.70, 22.41], p < .001) drinking versus no/low drinking at age 29/30. The likelihood of having AUD symptoms was significantly higher for high-intensity than for binge drinkers (AOR = 2.18, 95% CI [1.14, 4.19], p = .019).

CONCLUSIONS

Nearly 80% of those young adults who reported engaging in high-intensity drinking (10+ drinks in a row) at age 29/30 later reported AUD symptoms at age 35. High-intensity drinking appears to be a strong prospective marker of risk for AUD symptoms among adults in the United States.