Prevalence and Correlates of Caffeine Use Disorder Symptoms Among a United States Sample.

Background: The DSM-5 recognizes caffeine use disorder as a condition for further study, but there is a need to better understand its prevalence and clinical significance among the general population. Methods: A survey was conducted among an online sample of 1006 caffeine-consuming adults using demographic quotas to reflect the U.S. population. Caffeine consumption, DSM-proposed criteria for caffeine use disorder, sleep, substance use, and psychological distress were assessed. Results: Eight percent of the sample fulfilled DSM-proposed criteria for caffeine use disorder. These individuals consumed more caffeine, were younger, and were more likely to be cigarette smokers. Fulfilling caffeine use disorder criteria was associated with caffeine-related functional impairment, poorer sleep, some substance use, as well as greater depression, anxiety, and stress. Conclusions: The prevalence of caffeine use disorder among the present sample suggests that the proposed diagnostic criteria would identify only a modest percentage of the general population, and that identified individuals experience significant caffeine-related distress.

Prospective predictors of flavored e-cigarette use: A one-year longitudinal study of young adults in the U.S.

INTRODUCTION: E-cigarettes with fruit and candy flavors are appealing among young adults. This study examined the prospective predictors of young adults' flavored e-cigarette use to inform regulation and prevention efforts. METHODS: We used the wave 1 (2013-2014) and wave 2 (2014-2015) data of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative cohort study of U.S. youth and adults. We analyzed a sample of young adults aged 18-34 (n = 12,383) to identify wave 1 prospective predictors (i.e., socio-demographic characteristics, mental health symptoms, marijuana use, tobacco use, and e-cigarette harm perceptions) of wave 2 flavored e-cigarette use. RESULTS: At wave 2, 8.0% of young adults used e-cigarettes, and 2.5% and 5.5% used tobacco and menthol (TM) and non-tobacco and non-menthol flavors (NTM) flavors, respectively. In the multivariable model, significant prospective predictors (wave 1) of NTM flavored e-cigarette use compared to TM flavored e-cigarette use (wave 2) were younger age (18-24 years) (AOR = 1.82, p < 0.001), female gender (AOR=1.81, p < 0.001), education attainment of high school graduate and higher (AOR=1.60, p = 0.024), marijuana use (AOR=1.96, p < 0.001), ever but non-past-month cigarette smoking (AOR=2.75, p < 0.001), never cigarette smoking (AOR=5.08, p = 0.016), and lower harm perception of e-cigarettes (AOR=1.59, p = 0.005). CONCLUSION: This study highlights high rates of NTM flavor use and specific predictors of NTM flavored e-cigarettes use among young adults in the U.S. Regulation and prevention efforts for curbing flavored e-cigarette use among young adults should focus on these risk factors and high-risk groups (e.g., 18-24 years, female, and never cigarette smokers).

Trajectories of energy drink consumption and subsequent drug use during young adulthood.

BACKGROUND: Highly caffeinated energy drinks (EDs) are popular with adolescents and young adults, but longitudinal consumption patterns are poorly understood especially in relation to other substance use. METHODS: ED and other substance use were assessed annually (modal ages 21-25) among a sample (n=1099) who were originally recruited as first-year college students (modal age 18). Trajectory groups were derived based on probability of past-year use during ages 21-24, and compared for possible differences in substance use outcomes at age 25, holding constant demographics, sensation-seeking, other caffeine consumption, and age 21 substance use. RESULTS: From age 21-25, ED consumption declined in both annual prevalence [62.5%wt to 49.1%wt (wt=weighted)] and frequency of use among consumers (35.2-26.3 days/year). Yet individuals exhibiting a Persistent trajectory (51.4%) of consumption outnumbered those with Non-Use (20.6%), Intermediate (17.4%), or Desisting (10.6%) trajectories. Age 25 cocaine use, nonmedical use of prescription stimulants (NPS), and alcohol use disorder (AUD) risk were significantly associated with trajectory group membership, with Persistent and Intermediate groups exhibiting the highest risk for such outcomes, even accounting for prior substance use and other risk factors. Neither marijuana nor tobacco use were associated with group membership. CONCLUSIONS: The typical pattern of ED consumption among this sample was sustained use throughout young adulthood. Such individuals appear to be at high risk for adverse substance use outcomes, and results suggest possible specificity regarding cocaine use and NPS, and AUD risk. More research is needed to understand the mechanisms underlying the connection between ED and substance use.

Child maltreatment and age of alcohol and marijuana initiation in high-risk youth.

INTRODUCTION: Youth with a history of child maltreatment use substances and develop substance use disorders at rates above national averages. Thus far, no research has examined pathways from maltreatment to age of substance use initiation for maltreated youth. We examined the longitudinal impact of maltreatment in early childhood on age of alcohol and marijuana use initiation, and whether internalizing and externalizing behaviors at age 8 mediates the link between maltreatment and age of substance use initiation. MATERIALS AND METHODS: Data were drawn from the Longitudinal Studies of Child Abuse and Neglect (LONGSCAN) at ages 4, 8, 12, and 18. Maltreatment was assessed through reviews of administrative records and youth self-reports. Behavior problems were assessed with the Child Behavior Checklist. Age of substance use initiation was assessed with the Young Adult version of the Diagnostic Interview Schedule for Children. RESULTS: Path analyses indicated mediated effects from a history of maltreatment to age at first alcohol and marijuana use through externalizing behaviors. Considering type of maltreatment, direct effects were found from physical abuse to age of alcohol initiation, and mediated effects were found from sexual abuse and neglect to initial age of alcohol and marijuana use through externalizing behaviors. Direct effects for marijuana use initiation and indirect effects through internalizing behavior problems were not significant for either substance. CONCLUSIONS: Externalizing behavior is one pathway from childhood maltreatment to age of substance use initiation. Services for maltreated youth should incorporate substance use prevention, particularly among those with early externalizing problems.

Drug involvement during and after college: Estimates of opportunity and use given opportunity.

BACKGROUND: College students perceive widespread availability of drugs and prescription medications for non-medical use on campus, but less is known about the relationship between opportunity to use, use, and use given opportunity of these drugs during and after college. The current study describes annual trends in (1) opportunity to use, (2) use, and (3) use given opportunity of eight drugs and three prescription medications used non-medically over seven years. METHODS: Data were derived from a longitudinal cohort study of 1253 first-year college students (52% female, 72% non-Hispanic white) at one large, public university. Annually, past-year opportunity to use and use were assessed for marijuana, hallucinogens, inhalants, cocaine, ecstasy, amphetamines, methamphetamine, heroin, and non-medical use of prescription stimulants, analgesics, and tranquilizers. Binary variables were created to represent opportunity to use, use, and use given opportunity for each drug. RESULTS: Participants had the greatest opportunity to use marijuana compared with other drugs during the study period, but there was a significant decline in the opportunity to use marijuana over time. Notably, opportunity for both drugs other than marijuana and prescription medications used non-medically consistently declined, while use given opportunity remained relatively stable over time. CONCLUSIONS: These findings suggest that changes in drug use are driven by changes in opportunity to use, even during the post-college years. Greater opportunity to use and use of all drugs during the college years in comparison with the post-college years confirms the high-risk nature of the college environment.

School-Aged Outcomes following Prenatal Methamphetamine Exposure: 7.5-Year Follow-Up from the Infant Development, Environment, and Lifestyle Study.

OBJECTIVE: To assess the relationship between prenatal methamphetamine exposure (PME) and behavior problems at age 7.5 years and the extent to which early adversity mediated this relationship. STUDY DESIGN: The multicenter, longitudinal Infant Development, Environment, and Lifestyle study enrolled 412 mother-infant pairs at 4 sites. Methamphetamine-exposed participants (n = 204) were identified by self-report and/or gas chromatography/mass spectrometry confirmation of amphetamine and metabolites in infant meconium. Matched participants (n = 208) denied methamphetamine use and had a negative meconium screen. At the 7.5-year follow-up, 290 children with complete Child Behavior Checklist data and an early adversity index score were available for analysis (n = 146 exposed). RESULTS: PME was significantly associated with an increased early adversity index score (P < .001) and with increased externalizing, rule-breaking behavior, and aggressive behavior (P < .05). Early adversity was also associated with higher externalizing behavior scores. Early adversity significantly mediated the relationship between PME and behavioral problems. After adjusting the mediation model for sex, prenatal tobacco, alcohol, and marijuana exposures, and study site, the association of PME with early adversity remained significant. CONCLUSIONS: Though PME is associated with behavioral problems, early adversity may be a strong determinant of behavioral outcome for children exposed to methamphetamine in utero. Early adversity significantly mediated the relationship between PME and behavioral problems.

Marijuana use trajectories during college predict health outcomes nine years post-matriculation.

BACKGROUND: Several studies have linked marijuana use with a variety of health outcomes among young adults. Information about marijuana's long-term health effects is critically needed. METHODS: Data are from a ten-year study of 1253 young adults originally recruited as first-year college students and assessed annually thereafter. Six trajectories of marijuana use during college (Non-Use, Low-Stable, Early-Decline, College-Peak, Late-Increase, Chronic) were previously derived using latent variable growth mixture modeling. Nine health outcomes assessed in Year 10 (modal age 27) were regressed on a group membership variable for the six group trajectories, holding constant demographics, baseline health status, and alcohol and tobacco trajectory group membership. RESULTS: Marijuana trajectory groups differed significantly on seven of the nine outcomes (functional impairment due to injury, illness, or emotional problems; psychological distress; subjective well-being; and mental and physical health service utilization; all ps<.001), but not on general health rating or body mass index. Non-users fared better than the Late-Increase and Chronic groups on most physical and mental health outcomes. The declining groups (Early-Decline, College-Peak) fared better than the Chronic group on mental health outcomes. The Late-Increase group fared significantly worse than the stable groups (Non-Use, Low-Stable, Chronic) on both physical and mental health outcomes. CONCLUSIONS: Even occasional or time-limited marijuana use might have adverse effects on physical and mental health, perhaps enduring after several years of moderation or abstinence. Reducing marijuana use frequency might mitigate such effects. Individuals who escalate their marijuana use in their early twenties might be at especially high risk for adverse outcomes.

Characteristics of Child Maltreatment and Adolescent Marijuana Use: A Prospective Study.

There has been increasing acceptance of marijuana use in the United States in recent years, and rates among adolescents have risen. At the same time, marijuana use during adolescence has been linked to an array of health and social problems. Maltreated children are at risk for marijuana use, but the relationships among characteristics of maltreatment and marijuana use are unclear. In this article, we examine how the type and the extent of maltreatment are related to the level of adolescent marijuana use. Data analyses were conducted on a subsample of maltreated adolescents (n = 702) from the Longitudinal Studies of Child Abuse and Neglect project. Approximately half the sample had used marijuana, and maltreatment was associated with its use. Multivariate regression models showed that being male, extensive maltreatment, and peer marijuana use were associated with heavy use of marijuana. These findings suggest the importance of comprehensively assessing children's maltreatment experiences and their peers' drug use to help prevent or address possible marijuana use in these high-risk adolescents.

The academic consequences of marijuana use during college.

Although several studies have shown that marijuana use can adversely affect academic achievement among adolescents, less research has focused on its impact on postsecondary educational outcomes. This study utilized data from a large longitudinal cohort study of college students to test the direct and indirect effects of marijuana use on college grade point average (GPA) and time to graduation, with skipping class as a mediator of these outcomes. A structural equation model was evaluated taking into account a variety of baseline risk and protective factors (i.e., demographics, college engagement, psychological functioning, alcohol and other drug use) thought to contribute to college academic outcomes. The results showed a significant path from baseline marijuana use frequency to skipping more classes at baseline to lower first-semester GPA to longer time to graduation. Baseline measures of other drug use and alcohol quantity exhibited similar indirect effects on GPA and graduation time. Over time, the rate of change in marijuana use was negatively associated with rate of change in GPA, but did not account for any additional variance in graduation time. Percentage of classes skipped was negatively associated with GPA at baseline and over time. Thus, even accounting for demographics and other factors, marijuana use adversely affected college academic outcomes, both directly and indirectly through poorer class attendance. Results extend prior research by showing that marijuana use during college can be a barrier to academic achievement. Prevention and early intervention might be important components of a comprehensive strategy for promoting postsecondary academic achievement.

Prenatal methamphetamine exposure and neonatal and infant neurobehavioral outcome: results from the IDEAL study.

BACKGROUND: Methamphetamine (MA) use among pregnant women is an increasing problem in the United States. How MA use during pregnancy affects neonatal and infant neurobehavior is unknown. METHODS: The Infant Development, Environment, and Lifestyle (IDEAL) study screened 34,833 subjects at 4 clinical centers. Of the subjects, 17,961 were eligible and 3705 were consented, among which 412 were enrolled for longitudinal follow-up. Exposed subjects were identified by self-report and/or gas chromatography/mass spectroscopy (GC/MS) confirmation of amphetamine and metabolites in meconium. Comparison subjects were matched (race, birth weight, maternal education, insurance), denied amphetamine use, and had a negative meconium screen. Both groups included prenatal alcohol, tobacco, and marijuana use, but excluded use of opiates, lysergic acid diethylamide, or phencyclidine. The Neonatal Intensive Care Unit (NICU) Network Neurobehavioral Scale (NNNS) was administered within the first 5 days of life and again at 1 month to 380 enrollees (185 exposed, 195 comparison). Analysis of variance (ANOVA) tested exposure effects on NNNS summary scores at birth and 1 month. General linear model (GLM) repeated-measures analysis assessed the effect of MA exposure over time on the NNNS scores with and without covariates. RESULTS: By 1 month of age, both groups demonstrated higher quality of movement (P = .029), less lethargy (P = .001), and fewer asymmetric reflexes (P = .012), with no significant differences in NNNS scores between the exposed and comparison groups. Over the first month of life, arousal increased in exposed infants but decreased in comparison infants (P = .031) and total stress was decreased in exposed infants, with no change in comparison infants (P = .026). CONCLUSIONS: Improvement in total stress and arousal were observed in MA-exposed newborns by 1 month of age relative to the newborn period.

Risk of neurobehavioral disinhibition in prenatal methamphetamine-exposed young children with positive hair toxicology results.

BACKGROUND: The objective was to evaluate the effects of prenatal methamphetamine exposure (PME) and postnatal drug exposures identified by child hair analysis on neurobehavioral disinhibition at 6.5 years of age. METHODS: Mother-infant pairs were enrolled in the Infant Development, Environment, and Lifestyle (IDEAL) Study in Los Angeles, Honolulu, Tulsa, and Des Moines. PME was determined by maternal self-report and/or positive meconium results. At the 6.5-year follow-up visit, hair was collected and analyzed for methamphetamine, tobacco, cocaine, and cannabinoid markers. Child behavioral and executive function test scores were aggregated to evaluate child neurobehavioral disinhibition. Hierarchical linear regression models assessed the impact of PME, postnatal substances, and combined PME with postnatal drug exposures on the child's neurobehavioral disinhibition aggregate score. Past year caregiver substance use was compared with child hair results. RESULTS: A total of 264 children were evaluated. Significantly more PME children (n = 133) had hair positive for methamphetamine/amphetamine (27.1% versus 8.4%) and nicotine/cotinine (38.3% versus 25.2%) than children without PME (n = 131). Overall, no significant differences in analyte hair concentrations were noted between groups. Significant differences in behavioral and executive function were observed between children with and without PME. No independent effects of postnatal methamphetamine or tobacco exposure, identified by positive hair test, were noted and no additional neurobehavioral disinhibition was observed in PME children with postnatal drug exposures, as compared with PME children without postnatal exposure. CONCLUSIONS: Child hair testing offered a noninvasive means to evaluate postnatal environmental drug exposure, although no effects from postnatal drug exposure alone were seen. PME, alone and in combination with postnatal drug exposures, was associated with behavioral and executive function deficits at 6.5 years.

Cigarette smoking among college students: longitudinal trajectories and health outcomes.

INTRODUCTION: Light and intermittent patterns of cigarette smoking are prevalent among U.S. college-aged individuals. It is unclear whether intermittent smokers maintain their use over time or are transitioning to daily use or nonuse, and whether they experience more adverse health outcomes than nonsmokers. METHODS: This study examined the trajectories of tobacco cigarette smoking, their predictors, and health outcomes among students (N = 1,253) assessed during their first year of college (Y(1)) and annually thereafter (Y(2), Y(3), and Y(4)). RESULTS: In Y(1), 3.4% smoked daily and 4.1% exhibited signs of dependence (first cigarette within 30 min of waking). Growth curve modeling identified five distinct smoking trajectories. After stable nonsmokers (71.5%(wt)), the low-stable smoking trajectory was the most common (13.3%(wt)), outnumbering both low-increasing (6.5%(wt)) and high-stable smokers (5.5%(wt)) by 2:1 and high-decreasing smokers (3.2%(wt)) by 4:1. The likelihood of maintaining a low level of smoking over time was inversely related to Y(1) smoking frequency. Few demographic, smoking, and alcohol use characteristics measured in Y(1) distinguished low-increasers from low-stable smokers or high-decreasers from high-stable smokers. By Y(4), high-stable smokers rated their health significantly worse than all others except low-increasers. High-stable smokers had the most Y(4) health problems (i.e., provider visits for health problems and days of illness-related impairment), but only among nonWhites. CONCLUSIONS: Many college students smoke, but few smoke daily or are nicotine dependent. Intermittent smoking patterns are often stable throughout college and are associated with adverse health outcomes. Prevention strategies should be designed to mitigate the possible long-term health consequences of light and intermittent smoking.

Marijuana use trajectories during the post-college transition: health outcomes in young adulthood.

BACKGROUND: Despite the relatively high prevalence of marijuana use among college students, little information exists regarding health outcomes associated with different use patterns or trajectories. METHODS: Seven annual personal interviews (years 1-7) were administered to 1253 individuals, beginning in their first year in college. Growth mixture modeling was used to identify trajectories of marijuana, alcohol, and tobacco use frequency during years 1-6. Logistic regression was used to evaluate the relationship between marijuana use trajectories and several year 7 health outcomes, holding constant year 1 health, demographics, and alcohol and tobacco use trajectories. RESULTS: Six marijuana use trajectories were identified: non-use (71.5% (wt) of students), low-stable (10.0% (wt)), late-increase (4.7% (wt)), early-decline (4.3% (wt)), college-peak (5.4% (wt)), and chronic (4.2% (wt)). The six marijuana trajectory groups were not significantly different on year 1 health-related variables, but differed on all ten year 7 health outcomes tested, including functional impairment due to injury, illness, or emotional problems; general health rating; psychiatric symptoms; health-related quality of life; and service utilization for physical and mental health problems. Non-users fared significantly better than most of the marijuana-using trajectory groups on every outcome tested. Chronic and late-increase users had the worst health outcomes. CONCLUSIONS: Marijuana use patterns change considerably during college and the post-college period. Marijuana-using students appear to be at risk for adverse health outcomes, especially if they increase or sustain a frequent pattern of use.

Prenatal methamphetamine exposure and inhibitory control among young school-age children.

OBJECTIVE: To examine the association between prenatal methamphetamine exposure and inhibitory control in 66-month-old children followed since birth in the multicenter, longitudinal Infant Development, Environment, and Lifestyle study. STUDY DESIGN: The sample included 137 children with prenatal methamphetamine exposure and 130 comparison children matched for race, birth weight, maternal education, and type of insurance. Inhibitory control, an executive function related to emotional and cognitive control, was assessed using a computerized Stroop-like task developed for young children. Hierarchical linear modeling tested the relationship between the extent of prenatal methamphetamine exposure (heavy, some, or none) and accuracy and reaction time outcomes, adjusting for prenatal exposure to alcohol, tobacco, and marijuana; age; sex; socioeconomic status; caregiver IQ and psychological symptoms; Child Protective Services report of physical or sexual abuse; and site. RESULTS: In adjusted analyses, heavy prenatal methamphetamine exposure was related to reduced accuracy in both the incongruent and mixed conditions on the Stroop-like task. Caregiver psychological symptoms and Child Protective Services report of physical or sexual abuse were associated with reduced accuracy in the incongruent and mixed consitions and in the incongruent conditions, respectively. CONCLUSION: Heavy prenatal methamphetamine exposure, along with caregiver psychological distress and child maltreatment, are related to subtle deficits in inhibitory control during the early school-age years.

Prenatal methamphetamine exposure and childhood behavior problems at 3 and 5 years of age.

OBJECTIVE: We evaluated behavior problems in children who were prenatally exposed to methamphetamine (MA) at ages 3 and 5 years. METHODS: The Infant Development, Environment, and Lifestyle study, a prospective, longitudinal study of prenatal MA exposure and child outcome, enrolled subjects postpartum in Los Angeles, California; Honolulu, Hawaii; Des Moines, Iowa; and Tulsa, Oklahoma. Prenatal exposure was determined by maternal self-report and/or meconium results. Exposed and comparison groups were matched on race, birth weight, public health insurance, and education. Mothers in the comparison group denied use and had a negative meconium screen for amphetamines. Prenatal exposures to tobacco, alcohol, or marijuana occurred in both groups. At ages 3 and 5 years, 330 children (166 exposed and 164 comparison) were assessed for behavior problems by using the caregiver report on the Child Behavior Checklist. General linear mixed models were used to determine the effects of prenatal MA exposure, including heavy exposure (≥3 days per week), age, and the interaction of exposure and age on behavior problems with adjustment for other drugs of abuse and environmental risk factors. RESULTS: MA exposure was associated with increased emotional reactivity and anxious/depressed problems at both ages and externalizing and attention-deficit/hyperactivity disorder problems by age 5 years. Heavy exposure was related to attention problems and withdrawn behavior at both ages. There were no effects of MA on the internalizing or total behavior problems scales. CONCLUSIONS: This first report of behavior problems in patients as young as 3 years associated with MA exposure identifies an important public health problem. Continued follow-up can inform the development of preventive intervention programs.

Randomized controlled trials in pregnancy: scientific and ethical aspects. Exposure to different opioid medications during pregnancy in an intra-individual comparison.

BACKGROUND: Chronic medical conditions such as opioid dependence require evidence-based treatment recommendations. However, pregnant women are under-represented in clinical trials. We describe the first within-subject comparison of maternal and neonatal outcomes for methadone- versus buprenorphine-exposed pregnancies. Although methadone is the established treatment of pregnant opioid-dependent women, recent investigations have shown a trend for a milder neonatal abstinence syndrome (NAS) under buprenorphine. However, it is not only the choice of maintenance medication that determines the occurrence of NAS; other factors such as maternal metabolism, illicit substance abuse and nicotine consumption also influence its severity and duration and represent confounding factors in the assessment of randomized clinical trials. CASE SERIES DESCRIPTION: Three women who were part of the European cohort of a randomized, double-blind multi-center trial with a contingency management tool [the Maternal Opioid Treatment: Human Experimental Research (MOTHER) study], each had two consecutive pregnancies and were maintained on either methadone or buprenorphine for their first and then the respective opposite, still-blinded medication for their second pregnancy. Birth measurements, the total neonatal abstinence score, the total amounts of medication used to treat NAS and the days of NAS treatment duration were assessed. RESULTS: Both medications were effective and safe in reducing illicit opioid relapse and avoiding preterm labor. Methadone maintenance yielded to a significantly higher neonatal birth weight. Data patterns suggest that buprenorphine exposure was associated with lower neonatal abstinence syndrome (NAS) scores. Findings from this unique case series are consistent with earlier reports using between-group analyses. CONCLUSIONS: Buprenorphine has the potential to become an established treatment alternative to methadone for pregnant opioid-dependent women. Under special consideration of ethical boundaries, psychopharmacological treatment during pregnancy must be addressed as an integral part of clinical research projects in order to optimize treatment for women and neonates.

Motor and cognitive outcomes through three years of age in children exposed to prenatal methamphetamine.

BACKGROUND: Methamphetamine (MA) use among pregnant women is an increasing problem in the United States. The impact of prenatal MA exposure on development in childhood is unknown. OBJECTIVE: To examine the effects of prenatal MA exposure on motor and cognitive development in children at 1, 2, and 3 years of age. DESIGN/METHODS: IDEAL enrolled 412 mother-infant pairs at four sites (Tulsa OK, Des Moines IA, Los Angeles CA, and Honolulu HI). MA subjects (n=204) were identified by self report or GC/MS confirmation of amphetamine and metabolites in infant meconium. Comparison subjects (n=208) were matched (race, birth weight, maternal education, and type of insurance), denied amphetamine use, and had a negative meconium screen. Both groups included prenatal alcohol, tobacco and marijuana use, but excluded use of opiates, lysergic acid diethylamide, phencyclidine or cocaine only. The Peabody Developmental Motor Scales (PDMS-2) were administered to the infants at the 1 and 3 year visits. This analysis includes a subsample (n=350) of the IDEAL study with completed 1 and/or 3 year visits (n=330 and 281, respectively). At each annual visit we also conducted the Bayley Scales of Infant Development (BSID-II) as a general evaluation of mental and motor development. The BSID-II analysis includes a subsample (n=356) of the IDEAL study with completed 1, 2, and/or 3 year visits (n=331, 288, and 278 respectively). GLM analysis conducted on the PDMS-2 and BSID-II examined the effects of MA exposure and heavy MA exposure (≥3 days of use/week), with and without covariates. Longitudinal analyses were used to examine the effects of MA exposure on changes in motor and cognitive performance over time. RESULTS: Heavy MA exposure was associated with significantly lower grasping scores than some and no use at 1 year (P=0.018). In longitudinal analysis, lower grasping scores associated with any MA exposure and heavy exposure persisted to 3 years. There were no effects of MA exposure, including heavy exposure, on the Bayley Mental Development Index (MDI) or Psychomotor Development Index (PDI) at any or across age. CONCLUSIONS: There were no differences in cognition as assessed by the BSID-II between the groups. There was a subtle MA exposure effect on fine motor performance at 1 year with the poorest performance observed in the most heavily exposed children. By 3 years, no differences in fine motor performance were observed. These findings suggest MA exposure has modest motor effects at 1 year that are mostly resolved by 3 years.

Prenatal methamphetamine exposure and neonatal neurobehavioral outcome in the USA and New Zealand.

BACKGROUND: Methamphetamine (MA) use among pregnant women is a world-wide problem, but little is known of its impact on exposed infants. DESIGN: The prospective, controlled longitudinal Infant Development, Environment and Lifestyle (IDEAL) study of prenatal MA exposure from birth to 36 months was conducted in the US and NZ. The US cohort has 183 exposed and 196 comparison infants; the NZ cohort has 85 exposed and 95 comparison infants. Exposure was determined by self-report and meconium assay with alcohol, marijuana, and tobacco exposures present in both groups. The NICU Neurobehavior Scale (NNNS) was administered within 5 days of life. NNNS summary scores were analyzed for exposure including heavy exposure and frequency of use by trimester and dose-response relationship with the amphetamine analyte. RESULTS: MA exposure was associated with poorer quality of movement, more total stress/abstinence, physiological stress, and CNS stress with more nonoptimal reflexes in NZ but not in the USA. Heavy MA exposure was associated with lower arousal and excitability. First trimester MA use predicted more stress and third trimester use more lethargy and hypotonicity. Dose-response effects were observed between amphetamine concentration in meconium and CNS stress. CONCLUSION: Across cultures, prenatal MA exposure was associated with a similar neurobehavioral pattern of under arousal, low tone, poorer quality of movement and increased stress.

Increased alcohol consumption, nonmedical prescription drug use, and illicit drug use are associated with energy drink consumption among college students.

OBJECTIVES: This longitudinal study examined the prevalence and correlates of energy drink use among college students, and investigated its possible prospective associations with subsequent drug use, including nonmedical prescription drug use. METHODS: Participants were 1,060 undergraduates from a large, public university who completed three annual interviews, beginning in their first year of college. Use of energy drinks, other caffeinated products, tobacco, alcohol, and other illicit and prescription drugs were assessed, as well as demographic and personality characteristics. RESULTS: Annual weighted prevalence of energy drink use was 22.6%(wt) and 36.5%(wt) in the second and third year of college, respectively. Compared to energy drink non-users, energy drink users had heavier alcohol consumption patterns, and were more likely to have used other drugs, both concurrently and in the preceding assessment. Regression analyses revealed that Year 2 energy drink use was significantly associated with Year 3 nonmedical use of prescription stimulants and prescription analgesics, but not with other Year 3 drug use, holding constant demographics, prior drug use, and other factors. CONCLUSIONS: A substantial and rapidly-growing proportion of college students use energy drinks. Energy drink users tend to have greater involvement in alcohol and other drug use and higher levels of sensation-seeking, relative to non-users of energy drinks. Prospectively, energy drink use has a unique relationship with nonmedical use of prescription stimulants and analgesics. More research is needed regarding the health risks associated with energy drink use in young adults, including their possible role in the development of substance use problems.