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. Author manuscript; available in PMC: 2013 Sep 1.
Published in final edited form as: J Pediatr. 2012 Mar 15;161(3):452–459. doi: 10.1016/j.jpeds.2012.02.002

Prenatal Methamphetamine Exposure and Inhibitory Control among Young School-Age Children

Chris Derauf a, Linda L LaGasse b, Lynne M Smith c, Elana Newman d, Rizwan Shah e, Charles Neal a, Amelia Arria f, Marilyn A Huestis g, Sheri Della Grotta b, Lynne M Dansereau b, Hai Lin b, Barry M Lester b
PMCID: PMC3392459  NIHMSID: NIHMS364664  PMID: 22424953

Abstract

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 (heavy, some and no use) of prenatal methamphetamine exposure 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 task. Caregiver psychological symptoms and Child Protective Services (CPS) report of physical or sexual abuse were associated with reduced accuracy in the incongruent and mixed, and incongruent conditions, respectively.

Conclusions

Heavy prenatal methamphetamine exposure, along with caregiver psychological distress and child maltreatment, is related to subtle deficits in inhibitory control during the early school-aged years.

Keywords: Prenatal exposure, Amphetamines, Children, Neuropsychology, Executive Function


Methamphetamine use during pregnancy has increased over the past 20 years, with recent estimates suggesting a 5% prevalence in regions with endemic use (1). There is a paucity of research on the developmental consequences of prenatal methamphetamine exposure in children. Like cocaine, methamphetamine is a psychostimulant that blocks dopamine, norepinephrine and serotonin reuptake, increasing concentrations of these neurotransmitters in the synaptic cleft (2). Methamphetamine also enhances release of these neurotransmitters, inhibits monoamine oxidase, and causes maternal vasoconstrictive and anorectic effects (3). Prenatal methamphetamine exposure may additionally impact widespread neuro-ontogenic processes, such as cell production and migration (4), alter development of the fetal stress response axis (5), and perturb oxidative, mitochondrial and glutamate-associated excitotoxic pathways leading to neuronal damage (6).

Prenatal methamphetamine exposure has been linked to deficits in fetal growth (7) and to effects on infant arousal-regulation, stress reactivity, and motor control (8, 9), which could increase the risk for later problems in cognitive, psychomotor, and behavioral functioning (1012).

Prenatal methamphetamine exposure may also be associated with deficits in higher order executive functions that are considered foundational for academic, psychosocial and behavioral function during later childhood and adolescence (13, 14). Neuroimaging studies of community-derived convenience samples (1517) have identified alterations in frontal-striatal brain regions thought to be related to specific executive function such as inhibitory control, working memory, sustained attention, and visual-motor integration (18). Of these skills, inhibitory control, the ability to resist a first impulse or to stay on task despite distraction (19), is considered to be particularly important for the development of social competence (20), emotional and cognitive control (21). inhibitory control deficits have been reported in prospective, longitudinal studies of children exposed prenatally to cocaine (2125). Here, we report relationships between prenatal methamphetamine exposure and inhibitory control at 66 months of age among children enrolled in the large prospective study of prenatal methamphetamine exposure. We hypothesized that prenatal methamphetamine exposure would be associated with poorer inhibitory control, and that children with heavier prenatal exposure would have more pronounced deficits.

METHODS

Mothers and their infants were enrolled at birth in the longitudinal Infant Development, Environment and Lifestyle (IDEAL) study of prenatal methamphetamine exposure, conducted at five clinical sites in geographic areas with high methamphetamine use – the University of California, Los Angeles; the University of Hawaii; Blank Children’s Hospital-Iowa Health; and the Universities of Oklahoma and Tulsa. Institutional Review Board approval was obtained at each site and included a federal Certificate of Confidentiality. Detailed recruitment methods have been reported previously (1, 26). Maternal exclusion criteria were age <18, opiate use during pregnancy, institutionalization for retardation or emotional disorders, overt psychosis or a documented history of psychosis, and inability to speak English. Infants exclusion criteria were critical illness (unlikely to survive), multiple birth, major life-threatening congenital anomaly, documented chromosomal abnormality associated with mental or neurologic deficiency, overt infection, and having a sibling previously enrolled in the IDEAL study (Figure). Between September 2002 and November 2004, 34,833 women delivering at the above sites were screened, of which 26,999 were available and 17,961 eligible for participation. The most common reason for ineligibility was having a non-English speaking mother. Of the eligible mothers, 3705 consented and 14,256 refused. The 21% consent rate is consistent with other studies of this kind (1). Sociodemographic and substance use information was collected from maternal interviews including the Lifestyle Interview and Substance Use Inventory. Meconium samples were collected from all infants and analyzed by a central laboratory (US Drug Testing Laboratory, Des Plaines, IL) for drug metabolites. Methamphetamine exposure was determined by self-report and/or a positive meconium screen with Gas Chromatography/Mass Spectroscopy confirmation.

Figure 1.

Figure 1

Flow chart of subject recruitment and enrollment in the current study.

For longitudinal follow up, infants prenatally exposed to methamphetamine and mothers (n=204) were matched to unexposed comparison infant- mother pairs (n=208) who denied methamphetamine use and had a negative meconium screen. The two groups were matched for maternal race, birth weight category (<1500 g, 1500–2500 g, >2500 g), private versus public insurance, and education (high school education completed versus not completed). Prenatal exposure to alcohol, tobacco and marijuana existed in both groups and were considered as background variables. Follow-up assessments were conducted at 1, 12, 24, 30, 36, 60 and 66 months of age.

Measures

Inhibitory Control

Executive function at the 66-month-visit was measured with the Hearts and Flowers version of the Dots task from the Directional Stroop Battery for school age children (27). This task tests both inhibitory control and working memory, but in younger children the task demands for inhibitory control is thought to exert a stronger effect on performance than the memory demands (27). Certified examiners masked to exposure status administered the task (19), which was conducted on a laptop computer with children seated approximately 53 cm from the 19 cm × 30 cm computer screen. During each trial, a red heart or a red flower was presented on the left or right side of the computer screen and subjects were instructed to press either the left or right green-labeled “shift” keys in response to the stimulus, depending on the rule, described in more detail below. The trial sequence of events was as follows: plus sign centered on the computer screen (500 msec); blank screen (500 msec); heart or flower presentation (1500 msec or less if child responds during the interval); blank screen for 500 msec. The interstimulus interval was 1500 msec. The maximum trial duration was 3000 msec. The allowable response time from onset of the stimulus is 2000 msec. There were three task conditions (congruent, incongruent, mixed) administered in sequential blocks of trials. Prior to the first two conditions, the child practiced the rule with 4 trials that were identical to the task except the stimulus remained on the screen until the button was pressed and the child was given feedback and allowed to self correct. If a subject missed 2 out of the 4 practice trials, additional practice sets, up to three in total, were automatically run.

In the congruent condition (first block with 12 trials), the child followed the rule, “press the button on the same side as the heart”. In the more difficult incongruent condition (second block with 12 trials), the child followed the rule, “press the button on the side opposite the flower”. In the most challenging mixed condition with randomly intermixed congruent and incongruent trials (third block of 33 trials), the child had to hold two rules in mind, “hearts means same side and flowers means opposite side”. Each subject was required to complete all three conditions of the Hearts and Flowers task to be included in the study. No corrective feedback was given to the child during test trials. Performance on the task was assessed by: (1) percentage of correct responses or accuracy, measured by dividing correct responses by correct + incorrect responses; and (2) reaction time, calculated as the mean for correct responses only. Accuracy rather than speed is thought to be a more sensitive measure for young children using the incongruent Hearts and Flowers test (28), and from preschool through school age, to adulthood, accuracy measures tend to fit the following pattern: congruent > incongruent ≫ mixed (27).

The task was administered to 303 children (74% of the full sample of 412 participating in the 66-month visit) (Figure); 23 participants were excluded due to ≥ 50% invalid trials on any of the three trials blocks of the task. Trials were invalid if the child did not respond within 2,000 msec or pressed the response key in ≤200 msec, indicating either non-physiologically possible anticipatory guessing, or failure to release the response button from a prior trial. Of those 23 participants, eleven cases were excluded due to persistent non-responding, 8 cases for anticipatory responses, and 4 cases for both. In addition 13 participants were excluded due to missing data for covariates. Thus, there were 267 children with valid, complete data (n=137 infants prenatally exposed to methamphetamine and n=130 comparison). The median age of administration was 66 months with 90% ± 6 months with no differences in age by exposure status (p=0.570). Age at assessment was included as a covariate in analysis of executive function. Comparing the 36 children excluded due to invalid trials or missing data with the 267 who completed the task, no differences were found in prenatal methamphetamine exposure or other drugs, sex, or Bayley Scales of Infant Development-II mental or psychomotor development scores at 24 or 36 months.

Covariates

At recruitment, demographic and neonatal characteristics were obtained from the Lifestyle Interview including race, sex, insurance (public or private), maternal age, having a partner (coded as yes/no), socioeconomic status (SES) and neonatal growth (birth weight, length, head circumference and gestational age). SES was calculated using the 4-factor Hollingshead Index adapted for single parent and nonnuclear families (29, 30). For descriptive purposes, low SES (Hollingshead V) at recruitment is reported in Tables I and II. Prenatal use of methamphetamine and other drugs including the quantity and frequency of use was obtained from the Substance Use Inventory (31). Consistent with other published studies (9, 32), heavy methamphetamine use was defined as ≥ 3 days per week across pregnancy. Some use was any use not meeting the criterion for heavy use. Postnatal caregiver and environmental characteristics were measured on multiple visits and averaged or aggregated for this study. Measures from the Lifestyle Interview administered at 1, 12, 24, 36, 60 and 66 months included change in primary caregiver (yes/no), child protective services (CPS) report of physical or sexual abuse (yes/no), and SES (index of social position). The Substance Use Inventory at 12, 24, 36, 60, and 66 months assessed postnatal caregiver use of methamphetamine, alcohol, tobacco and marijuana (yes/no for each drug) (31). The personal safety section of the Substance Use Inventory at 36 and 66 months assessed domestic violence for any physical or sexual abuse (yes/no). The Brief Symptom Inventory (BSI), a 53-item questionnaire administered at 1, 12 and 36 months, yielded an overall score of caregiver psychological symptoms (33). Caregiver depression was assessed by the Beck Depression Inventory-II at 1, 12 and 36 months (34). Caregiver receptive vocabulary, a proxy measure of caregiver intelligence quotient, was assessed by the Peabody Picture Vocabulary Test – 3rd edition at the 30-month home visit (35). The quality of the home environment, computed as an overall summary score, was measured at 30 months of age using the Early Childhood Home Observation for Measurement of the Environment (HOME) Inventory (36).

Table 1.

Maternal and infant characteristics at birth by level of prenatal methamphetamine exposure

Maternal/demographic characteristics Heavy PMAE Some PMAE No PMAE p
Number (%)/Mean (SD) (n=26) (n=107) (n=130)
Ethnicity 0.971
 White 13 (50.0%) 39 (36.4%) 55 (42.3%)
 Hispanic 4 (15.4%) 23 (21.5%) 28 (21.5%)
 Pacific Islander 4 (15.4%) 20 (18.7%) 20 (15.4%)
 Asian 4 (15.4%) 15 (14.0%) 17 (13.1%)
 Black 1 (3.8%) 6 (5.6%) 7 (5.4%)
 American Indian 0 (0%) 4 (3.7%) 3 (2.3%)
Low SES 12 (46.2%) 34 (31.8%) 10 (7.7%) <.001
Public insurance 24 (92.3%) 95 (88.8%) 112 (86.2%) 0.216
No partner 17 (65.4 %) 61 (57.0%) 38 (29.2%) <.001
Education <12 years 16 (61.5%) 47 (43.9%) 44 (33.8%) 0.024
Maternal age (year) 25.9 ± 5.9 25.2 ± 5.4 24.8 ± 5.7 0.633
Prenatal alcohol use 7 (26.9%) 36 (33.6%) 18 (13.8%) <.001
Alcohol heavy use (≥ 0.5 oz absolute alcohol/day across pregnancy) 4 (3.8%) 0 -
Prenatal marijuana use 8 (30.8%) 33 (30.8%) 6 (4.6%) <.001
Marijuana heavy use (≥ 0.5 joints/day across pregnancy) 3 (2.8%) 2 (1.5%) 0.674
Prenatal tobacco use 23 (88.5%) 85 (79.4%) 35 (26.9%) <.001
Tobacco heavy use (≥10 cigarettes/day across pregnancy) 15 (57.7%) 27 (25.2%) 6 (4.6%) <.001
Infant characteristics
Sex, male 17 (65.4%) 54 (50.5%) 67 (51.5%) 0.376
Birth weight (g) 3274 ± 649 3189 ± 638 3268 ± 542 0.557
Gestational age (wk) 38.7 ± 1.9 38.1 ± 2.4 39.0 ± 1.8 0.006
Low birth weight 1 (3.8%) 15 (14.0%) 15 (11.5%) 0.350
Length (cm) 50.5 ± 3.4 49.9 ± 3.7 50.9 ± 3.1 0.053
Head circumference (cm) 33.9 ± 1.9 33.7 ± 1.9 33.9 ± 1.8 0.470

PMAE, prenatal methamphetamine exposure

Note: 4 cases do not have level of PMAE due to identification of exposure by meconium only

Table 2.

Postnatal characteristics of the environment by level of prenatal methamphetamine exposure

Number (%)/Mean (SD) Heavy PMAE Some PMAE No PMAE p
(n=26) (n=107) (n=130)
Caregiver Change (by 66 months of age) 19 (73.1%) 60 (56.1%) 13 (10.0%) <0.001
Postnatal Tobacco Use (by 66 months of age) 15 (57.7%) 67 (63.8%) 63 (49.2%) 0.081
Postnatal Alcohol Use (by 66 months of age) 19 (73.1%) 70 (66.0%) 94 (72.9%) 0.493
Postnatal Marijuana Use (by 66 months of age) 3 (12.0%) 17 (16.3%) 12 (9.4%) 0.287
Domestic Violence (by 66 months of age) 2 (7.7%) 10 (9.3%) 4 (3.1%) 0.128
Average Caregiver Psychological Symptoms (at 1, 12, and 36 months) 0.47 (0.40) 0.46 (0.41) 0.43 (0.40) 0.853
Average Caregiver Depression (at 1, 12, and 36months) 9.1 (7.2) 9.4 (7.6) 8.6 (6.0) 0.661
Caregiver Receptive Vocabulary (at 30 months) 94.4 (10.5) 91.1 (11.9) 90.8 (13.8) 0.416
Quality of Home (HOME score at 30 months) 34.8 (3.4) 34.0 (3.9) 34.6 (3.7) 0.494
Child Protective Services report of physical or sexual abuse (by 66 months of age) 3 (11.5%) 7 (6.5%) 4 (3.1%) 0.164

Note: 4 cases do not have level of PMAE due to identification of exposure by meconium only

Data Analysis

Analysis of variance was used to compare means for continuous variables and Chi-square tests to compare proportions for categorical variables. General linear models were applied to the level of methamphetamine use to compare heavy use versus no use and some use versus no use. Hierarchical linear models (HLM, SAS Proc MIXED, version 9.1.3, Cary, NC) were used to test associations between level of prenatal methamphetamine exposure (heavy, some, no use) and each of the six accuracy and reaction time outcomes. In multivariate analysis, we adjusted for covariates in each model. Continuous covariates (e.g., age at assessment) were grand mean centered. Pearson correlations were used to test associations between accuracy and reaction times in each of the three conditions of the Hearts and Flowers task, and to follow up on significant covariate effects.

A priori covariates included prenatal exposure to alcohol, tobacco, and marijuana, sex, SES at birth, age at assessment, study site, and SES averaged through 66 months. Participant characteristics that differed between methamphetamine exposure groups (P<0.05) were included if not highly (r<0.7) correlated with other covariates. Covariates measured at multiple time points were averaged (e.g., SES, caregiver psychological symptoms) or aggregated over time (e.g., any caregiver postnatal tobacco use 12 to 66 months). Interactions between prenatal methamphetamine exposure and covariates were tested and removed if p>.10. Final covariates were selected only if the p value overall or any category-wise was ≤. 10. To provide uniformity across analyses, covariates that met criteria for one outcome were retained in all models. The final covariate set included prenatal exposure to alcohol, tobacco, and marijuana, age at assessment, sex, SES, caregiver IQ, CPS report of physical or sexual abuse, caregiver psychological symptoms and site. The prenatal drug exposures were continuous measures of these drugs (oz absolute alcohol/day, average number cigarettes/day and average number joints/day across pregnancy).

RESULTS

The sample (N=267) for this study is 65% of the original sample recruited (n=412). To assess selective attrition, we compared child and caregiver characteristics of participants included in this study (n=267) with those not included (n=145). There were fewer heavy alcohol and marijuana users in the included group.

Table I shows maternal and infant characteristics at birth by heavy, some and no prenatal methamphetamine exposure. Caregivers in the heavy prenatal methamphetamine exposure group were more likely to be low SES, not have a partner or a high school education, and have used more marijuana and tobacco, including heavy tobacco use, than no prenatal methamphetamine exposure group. Some prenatal methamphetamine exposure was associated with lower gestational age than no prenatal methamphetamine exposure. Caregivers in the some prenatal methamphetamine exposure group were more likely to be low SES, not have a partner, and have used more, alcohol, marijuana and tobacco, including heavy tobacco use, than caregivers in the group with no prenatal methamphetamine exposure.

In the postnatal period through 66 months, the heavy and some prenatal methamphetamine exposure groups were more likely to have a caregiver change due in part to mandatory reporting of illicit drug use during pregnancy to CPS, frequently resulting in child removal (Table II).

Table III shows results for accuracy and reaction time by level of prenatal methamphetamine exposure. In both unadjusted and adjusted analyses, heavy prenatal methamphetamine exposure, but not some prenatal methamphetamine exposure, was associated with less accuracy in the incongruent and mixed conditions.

Table 3.

Accuracy and reaction time for congruent, incongruent and mixed conditions by level of prenatal methamphetamine exposure

Outcome Level of PMAE
Heavy (h)
(N=25)
Some (s)
(N=105)
No (n)
(N=130)
Adjusted a
β 95% CI β 95% CI
% Correct Mean SD Mean SD Mean SD h vs. n h vs. n s vs. n s vs. n
 Congruent 91.0 9.8 87.6 19.7 90.9 16.6 −1.86 (−10.4, 6.7) −3.82 (−8.6, 1.0)
 Incongruent 54.4 31.3 70.1 26.9 74.6 26.9 −22.69 (−35.9, −9.4) −4.29 (−11.7, 3.1)
 Mixed 57.9 14.7 63.6 17.7 67.8 18.5 −8.79 (−17.3, −0.3) −3.52 (−8.3, 1.2)
Mean reaction time (msec)
 Congruent b 748 230 749 242 773 262 −99.55 (−218.2, 19.1) −59.85 (−126.2, 6.5)
 Incongruent b 910 253 900 235 941 267 −22.89 (−157.1, 111.3) −45.72 (−117.9, 26.5)
 Mixed 985 252 1030 246 1049 254 −79.51 (−199.7, 40.7) −28.36 (−95.9, 39.2)

Note: 4 cases do not have level of PMAE due to identification of exposure by meconium only; 3 cases do not have level of alcohol, tobacco or marijuana exposure.

a

All analyses adjusted for absolute alcohol/d, cigarettes/d, and joints/d during pregnancy, age at assessment, sex, SES (avg. birth to 66 months), caregiver IQ, CPS report of physical or sexual abuse (any report through 66 months), caregiver psychological symptoms (avg 1, 12 and 36 months).

b

1case (h) in the congruent condition and 10 cases (3 h, 3 s, 4 n) in the incongruent condition had no correct responses, hence missing reaction time for correct response. No association with level of PMAE.

In adjusted analyses, quantity of prenatal tobacco use was associated with longer reaction time in the congruent condition (P=0.027). Caregiver IQ was associated with greater accuracy in the congruent and mixed conditions (all P’s<0.01). Caregiver psychological symptoms were associated with less accuracy in the incongruent and mixed conditions (all P’s<0.03), longer reaction time in the congruent condition but decreased reaction time in the mixed condition (all P’s<0.05). CPS reports of physical or sexual abuse was associated with reduced accuracy in the incongruent condition (P=.034).

DISCUSSION

Prenatal methamphetamine exposure is associated in a dose response manner with deficits in laboratory measures of inhibitory control in the early school age period, after adjusting for key covariates. These executive function differences were found despite no differences by prenatal methamphetamine exposure or heavy prenatal methamphetamine exposure status in standardized assessments of mental or psychomotor development at 12, 24 and 36 months (32) or in language and behavioral scores at 36 months (38).

Our findings of reduced inhibitory control performance in children with prenatal methamphetamine exposure are consistent with earlier theoretical work linking sympathomimetic drugs like cocaine and methamphetamine to altered prefrontal cortex development and function (39), with studies in children (40) and non-human primates that provide evidence at the neural level that frontal-subcortical circuits are critical for successful manipulation of situations where there is a response conflict (41), and with recent neuroimaging studies of prenatal methamphetamine exposure that have identified alterations in frontal-striatal circuitry, as reflected by changes in white matter diffusivity (42), neurometabolite concentrations (16), and fMRI brain activation during executive function tasks (17).

Our findings are similar to prospective studies that reported deficits in inhibitory control after prenatal exposure to cocaine (2125), one of which (22) also found effects associated with higher average diffusion measures in frontal brain regions, suggesting lower integrity or slower maturation of cortical white matter fiber tracts. A recent summary of school-age studies of children with prenatal cocaine exposure suggested compromised performance in sustained attention and behavioral self-regulation (43), skills that are highly related to inhibitory control development.

We also found associations between inhibitory control and both caregiver psychological distress, as measured by the BSI, and cumulative child physical and/or sexual abuse as reported by CPS. Previous research has linked early supportive caregiving with the development of inhibitory control (44), so it is not unexpected that caregiver distress and maltreatment might relate to poorer inhibitory control function, possibly mediated through HPA axis dysregulation and compromised prefrontal cortex development (45, 46). That these associations were independent of the main effect of prenatal methamphetamine exposure on inhibitory control provides additional evidence in support of a growing body of research linking early socio-environmental adversity, both with and without preceding prenatal drug exposure, with inhibitory control deficits (4749) and with the later appearance in adolescence of a more complex disinhibitory phenotype (50). However, because caregiver psychological distress was measured several years antecedent to the inhibitory control outcome, it may be unmeasured concurrent exposure to caregiver distress rather than earlier exposure that is driving this association. It is possible that the findings of reduced inhibitory control among children with prenatal methamphetamine exposure may reflect the post-natal effects of cumulative early adversity conditions (i.e. low SES, high caregiver turnover, caregiver psychopathology, household violence, etc.) on the development of childhood mental health, cognitive and psychosocial impairments (51, 52). It is also possible that the poorer inhibitory control observed in the prenatal methamphetamine exposure cohort was related to early caregiver instability, because by 60 months of age 60% of the exposed group was no longer living with their family of origin. Two recent studies provide support for this link between placement instability and children’s inhibitory control (47), even after controlling for neglect (45).

There are several limitations of the present study. First, the follow-up rate of 65% in this study, although typical of studies involving high risk cohorts, raises the possibility of retention bias; however, the evaluated and not-evaluated groups differed only in regard to number of heavy alcohol and marijuana users, suggesting that our results are conservative, because heavy use of these drugs occurs predominantly in mothers using methamphetamine. Second, the relatively small number of heavy methamphetamine users implies that our results be considered preliminary. Third, although the multivariate analyses adjusted for prenatal exposure to alcohol, tobacco and marijuana, allowing identification of outcomes associated independently with heavy prenatal methamphetamine exposure, it is possible that residual confounding, multiple additive drug exposures, or drug-drug interactions explain some of the findings. Fourth, the association between cumulative physical and/or sexual abuse as reported by CPS at 66 months of age and inhibitory control deficits, although consistent with other research on neglected or maltreated children, needs to be taken with caution, given the small numbers of children in both exposure groups (prenatal methamphetamine exposure = 11; no prenatal methamphetamine exposure = 4) with identified abuse. And lastly, intergenerational transmission of a genetic predisposition to inhibitory control deficits and coexistent substance use disorder, rather than a potential neuroteratologic mechanism, may explain the observed associations between prenatal methamphetamine exposure, socio-environmental adversity, and children’s inhibitory control.

Acknowledgments

Supported by National Institutes on Drug Abuse (grants 2R01DA014948 [to B.L.] and 1K23DA020801 [to C.D.]) and, in part, by the National Center for Research Resources (5P20RR11091 and 3M01RR00425).

We would like to sincerely thank the children, families, and staff participating in the IDEAL Study.

Abbreviations

BSI

Brief Symptom Inventory

HOME

Home Observation for Measurement of the Environment

NIDA

National Institutes on Drug Abuse

SES

Socioeconomic Status

Footnotes

The authors declare no conflicts of interest.

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