Abstract
The association of autism spectrum disorder (ASD) with self-reported maternal cannabis use from 3 months pre-conception to delivery (“peri-pregnancy”) was assessed in children aged 30–68 months, born 2003 to 2011. Children with ASD (N = 1428) were compared to children with other developmental delays/disorders (DD, N = 1198) and population controls (POP, N = 1628). Peri-pregnancy cannabis use was reported for 5.2% of ASD, 3.2% of DD and 4.4% of POP children. Adjusted odds of peri-pregnancy cannabis use did not differ significantly between ASD cases and DD or POP controls. Results were similar for any use during pregnancy. However, given potential risks suggested by underlying neurobiology and animal models, further studies in more recent cohorts, in which cannabis use and perception may have changed, are needed.
Keywords: Cannabis, Marijuana, Epidemiology, Autism spectrum disorder
Self-reported past-month cannabis use among pregnant women in the U.S. increased significantly between 2002 and 2014 from 2.4 to 3.9% (Brown et al., 2017). In 2017, 9.8% of recently delivered U.S. women used cannabis in the 3 months before pregnancy and 4.2% during pregnancy (Ko et al., 2020). The perceived therapeutic effects of cannabis for morning sickness and uncertainty about its adverse perinatal consequences contribute to use during pregnancy (Bayrampour et al., 2019). Among pregnant U.S. women, the percentage who perceived “no risk” of harm from smoking marijuana once or twice a week increased from 3.5 in 2005 to 16.5% in 2012 among those without recent cannabis use, and from 25.8 to 65.4% among those with recent use (Jarlenski et al., 2017).
While there is consistent evidence that maternal cigarette smoking leads to histopathologic changes in the fetal brain and that carbon monoxide may play a role in cognitive and neurobehavioral deficits in offspring of smokers (U.S. Department of Health & Human Services, 2010), less is known about neurodevelopmental consequences of maternal cannabis use for the fetus. In animal models, prenatal or early life exposure to cannabis results in persistent changes in cognitive performance, behavior, and stress response (Roncero et al., 2020). Longitudinal studies of offspring with in utero cannabis exposure have reported subtle deficits in impulse control, attention and executive functioning starting around 3–4 years of age and continuing into adolescence and beyond (Day et al., 1994; Fried & Watkinson, 1990; Griffith et al., 1994; Metz & Borgelt, 2018; Roncero et al., 2020). These cohort studies have not (to date) reported on associations between prenatal cannabis use and subsequent diagnosis of ASD.
A large population-based retrospective cohort study using a Canadian birth registry found that children whose mothers had cannabis use recorded at the first prenatal visit were 50% more likely to have an ASD diagnosis during a median 7.4 years follow-up than children without recorded cannabis exposure, after controlling for confounding (Corsi et al., 2020). Cannabis use was recorded for just 0.6% of mothers, a much lower prevalence than in the US, which may reflect different patterns of use in pregnancy. Further, no information about cannabis use either preconception or in later trimesters was collected.
The objective of this analysis was to examine the association of maternal cannabis use prior to conception and throughout pregnancy with ASD in preschool-aged children enrolled in the Study to Explore Early Development (SEED). SEED provides both developmentally-disabled and typically-developing study groups for comparison, enabling differentiation of effects specific to ASD from those more generally affecting neurodevelopmental disorders.
Methods
Study Design
SEED is a multi-site case–control study that examines phenotypic characteristics and environmental and genetic risk factors for ASD (Schendel et al., 2012). Cases were children who met study criteria for ASD (detailed below). Two control groups comprised children from the general population (POP) and children with non-ASD developmental delays/disorders (DD) (e.g., language or motor delay). The study was approved by institutional review boards at the Centers for Disease Control and Prevention and each study site. Written informed consent was obtained from all families.
Participants
Eligible children were born September 2003 to August 2006 (SEED1) or January 2008 to December 2011 (SEED2) in a study catchment area in California, Colorado, Georgia, Maryland, North Carolina, or Pennsylvania. The two birth cohort time periods were based on separate funding cycles for enrollment and data collection. At enrollment, eligible children were 24–68 months old and lived in the same catchment area with their caregiver aged ≥18 years who had continuously cared for the child since age 6 months and spoke English or, at two sites, English or Spanish. Study sites have been described elsewhere (DiGuiseppi et al., 2016; Schendel et al., 2012). To limit inaccurate recall of events in pregnancy and early life while allowing diagnostic accuracy for ASD and appropriate age ranges for validated study instruments, children were clinically evaluated at 30–68 months of age. Children were recruited for ASD and DD groups from educational and clinical settings serving children with developmental delays or disorders, and for the POP group from randomly sampled birth certificates at each site.
Data Collection, Study Group Classification and Key Variables
Data collection for all three groups included interviews, self-administered forms, the Social Communication Questionnaire (SCQ) (Rutter et al., 2003) and Mullen Scales of Early Learning (MSEL) (Mullen, 1995). The SCQ was used to identify possible undiagnosed ASD, defined as a score ≥ 11 (Allen et al., 2007). Children considered at risk for ASD based on SCQ score ≥ 11, previous ASD diagnosis, or observed ASD symptoms during the MSEL, regardless of source population, underwent confirmatory assessments, including the Autism Diagnostic Observation-Schedule (ADOS) (Lord et al., 1999) and Autism Diagnostic Interview-Revised (ADI-R) (Gotham et al., 2007). Children meeting cutoff scores on these instruments were classified as ASD (Schendel et al., 2012; Wiggins et al., 2015). Children recruited from educational and clinical settings with a prior diagnosed developmental condition who were assessed for ASD but did not meet cutoff scores were excluded from this analysis, while those not at risk for ASD as defined above were classified as DD controls. Children recruited from the birth certificate sample (excluding those identified with ASD) were classified as POP. This analysis only included children who completed a clinic visit for developmental assessment.
Data on the family, child, and household were collected. The biological mother was interviewed about drug use during pregnancy; children whose mothers did not respond to these questions were excluded. Mothers were asked, “Between three months before the start of the pregnancy till the time of delivery/the cessation of breastfeeding, did you use any of the following recreational or street drugs?” Mothers who said “yes” to any drugs were asked about their use in each month from 3 months before pregnancy through delivery (categorized into pre-conception, first, second and third trimester) and during breastfeeding. “Peri-pregnancy” cannabis use was defined as any use from 3 months before pregnancy through the third trimester. “During pregnancy” was defined as cannabis use during any trimester and “during breastfeeding” as any use while breastfeeding. Data were also collected on maternal use of tobacco, alcohol, and other illicit drugs (including prescription drugs not prescribed to the mother) at any time during the peri-pregnancy period (Yes/No for each substance). Socio-demographic factors included child age at enrollment, child sex, maternal race/ethnicity and level of education at delivery, and annual household income in the year before pregnancy, categorized as shown in Table 1. Sociodemographic variables were missing for < 1% of participants, except for race/ethnicity (2% missing) and household income (3% missing).
Table 1.
Autism Spectrum Disorder (ASD) N = 1458 |
Non-ASD Developmental Delays/Disorders (DD) N = 1198 |
General Population (POP) N = 1628 |
|
---|---|---|---|
N (%) | N (%) | N (%) | |
| |||
Any peri-pregnancya cannabis use | 76 (5) | 38 (3) | 72 (4) |
Study phase | |||
SEED 1 | 687 (47) | 677 (57) | 879 (54) |
SEED 2 | 771 (53) | 521 (43) | 749 (46) |
Site | |||
California | 226 (16) | 203 (17) | 260 (16) |
Colorado | 270 (19) | 237 (20) | 323 (20) |
Georgia | 282 (19) | 249 (21) | 299 (18) |
Maryland | 253 (17) | 159 (13) | 248 (15) |
North Carolina | 225 (15) | 217 (18) | 274 (17) |
Pennsylvania | 202 (14) | 133 (11) | 224 (14) |
Child’s sex | |||
Female | 268 (18) | 419 (35) | 774 (48) |
Male | 1,189 (82) | 779 (65) | 854 (52) |
Maternal Race/Ethnicity | |||
Hispanic | 179 (13) | 156 (13) | 131 (8) |
Non-Hispanic Black | 333 (23) | 195 (17) | 218 (14) |
Non-Hispanic White | 738 (52) | 717 (61) | 1124 (70) |
Other/Multiracial | 169 (12) | 102 (9) | 137 (9) |
Maternal education at time of child’s birth | |||
Less than bachelor’s degree | 701 (48) | 469 (39) | 513 (32) |
Bachelor’s degree or higher | 754 (52) | 728 (61) | 1114 (68) |
Household income in 12 months before pregnancy | |||
Less than $50,000 | 568 (40) | 387 (33) | 421 (26) |
$50,000 or more | 848 (60) | 774 (67) | 1174 (74) |
Ever smoker | 556 (38) | 406 (34) | 552 (34) |
Any peri-pregnancy tobacco use | 227 (16) | 116 (10) | 148 (9) |
Any peri-pregnancy alcohol use | 684 (47) | 610 (51) | 964 (59) |
Any peri-pregnancy use of other illicit drugsb | 20 (1) | 17 (1) | 17 (1) |
Mean (SD) | Mean (SD) | Mean (SD) | |
Child age (in months) | 57.2 (8.3) | 57.5 (8.7) | 56.6 (9.0) |
Peri-pregnancy period includes 3 months before pregnancy through the third trimester
Including cocaine, ecstasy, methamphetamines or other illicit drug use
Statistical Analysis
Overall prevalence of cannabis use was calculated for all mothers in each group, as well as at each time period among those reporting any use. Analyses examined associations of maternal cannabis use in the peri-pregnancy period, pre-conception only (i.e., not in pregnancy), during pregnancy, during each trimester and during breastfeeding, with ASD (vs. DD and vs. POP). Mothers who reported no cannabis use during peri-pregnancy or breastfeeding were the reference group for all analyses. Generalized linear mixed effects models were used for all tests. Given differing legal status and social norms around cannabis in different states, site was included as a random effect in all models. Significance of fixed effects was tested using a type III F-test for fixed effects using Satterthwaite’s degrees of freedom. Because prior research suggested an interaction between effects of prenatal cannabis and tobacco use on neurodevelopment of the offspring (Eiden et al., 2018; Stroud et al., 2018), interaction effects were tested using a partial F-test to determine need for stratified analysis. When no interaction effects were observed, peri-pregnancy tobacco use was included as a confounding variable in adjusted models. Maternal education and peri-pregnancy alcohol use were included in all adjusted models based on known associations with prenatal cannabis use (Mark et al, 2016). Children missing information on maternal education or tobacco or alcohol use (N = 16, 0.3%) were excluded. SEED phase, child sex, maternal race/ethnicity and peri-pregnancy use of other illicit drugs were examined as potential confounding variables and retained if effect estimates changed ≥ 10% with their inclusion. R version 3.6.1 (2019-07-05) and the lme4 package v(1.1-21) were used for analysis.
Results
Of 4343 children who completed a clinic visit, the mothers of 4284 (98.6%) responded to cannabis use questions. Mothers of 186 (4.3%) children reported peri-pregnancy cannabis use, while 98 (2.3%) reported use during pregnancy, declining from 2.1% in the first trimester to 0.7% in the second and 0.5% in the third trimester, and 0.6% during breastfeeding. Of mothers reporting no pre-conception cannabis use, 14 (0.3%) used cannabis during pregnancy and 2 (< 0.1%) during breastfeeding. Prevalence of peri-pregnancy cannabis use was similar in all study groups (Table 1), as were observed declines in use from the pre-conception period (Table 2).
Table 2.
All N = 186 |
ASD N = 76 |
DD N = 38 |
POP N = 72 |
|
---|---|---|---|---|
| ||||
Pre-conceptiona | 168 (90%) | 72 (95%) | 36 (95%) | 60 (83%) |
Pregnancy | 98 (53%) | 39 (51%) | 22 (58%) | 37 (51%) |
First trimester | 90 (48%) | 37 (49%) | 19 (50%) | 34 (47%) |
Second trimester | 29 (16%) | 8 (11%) | 6 (16%) | 15 (21%) |
Third trimester | 23 (12%) | 8 (11%) | 6 (16%) | 9 (12%) |
While breastfeeding | 26 (14%) | 8 (11%) | 4 (11%) | 14 (19%) |
During 3 months pre-conception
In unadjusted analyses, children with ASD were significantly more likely than children in the DD group to have a mother who reported using cannabis during the peri-pregnancy period or only in the 3 months before conception (Table 3). Results were similar in magnitude but not statistically significant for use during pregnancy, in the first trimester or while breastfeeding. In unadjusted analyses, there was no evidence that children with ASD were more likely than POP group children to have mothers who used cannabis during the peri-pregnancy period, only pre-conception, or during pregnancy (Table 3).
Table 3.
OR (95% CI) | ||||
---|---|---|---|---|
|
|
|||
Study groups | Time period of cannabis exposure | N | Crudea | Adjusteda, b |
| ||||
ASD vs DD | Peri-pregnancyc | 2,644 | 1.71(1.15, 2.54) | 1.39 (0.91, 2.11) |
Pre-conception onlyd | 2,582 | 1.91 (1.05, 3.47) | 1.58 (0.86, 2.92) | |
Pregnancy | 2,591 | 1.52 (0.90, 2.58) | 1.21 (0.70, 2.10) | |
First trimester | 2,586 | 1.66 (0.95, 2.91) | –e | |
Second trimester | 2,544 | 1.11 (0.38, 3.21) | – | |
Third trimester | 2,544 | 1.11 (0.38, 3.22) | – | |
Breastfeeding | 2,542 | 1.71 (0.51, 5.70) | – | |
ASD vs POP | Peri-pregnancyc | 3,075 | 1.19 (0.86, 1.66) | 0.89 (0.62, 1.27) |
Pre-conception onlyd | 2,994 | 1.31 (0.81, 2.13) | 1.02 (0.61, 1.70) | |
Pregnancy | 3,003 | 1.19 (0.75, 1.88) | 0.85 (0.52, 1.38) | |
First trimester | 2,998 | 1.23 (0.77, 1.97) | –e | |
Second trimester | 2,950 | 0.60 (0.25, 1.42) | – | |
Third trimester | 2,944 | 1.00 (0.39, 2.61) | – | |
Breastfeeding | 2,949 | 0.65 (0.27, 1.54) | – |
Includes random intercept for site
Adjusted for maternal education, and alcohol and tobacco use during peri-pregnancy
Maternal cannabis use from 3 months prior to conception through the third trimester
Maternal cannabis use during the 3 months prior to conception but not in pregnancy
Analyses by trimester or during breastfeeding were based on small number of users, precluding covariate adjustment
As with cannabis use, tobacco use declined from pre-conception to the third trimester (Online Resource 1). There were no significant interactions between self-reported cannabis use and tobacco use during the peri-pregnancy period (p = 0.70 for the interaction term when comparing to DD and p = 0.32 when comparing to POP), during pre-conception (p = 0.83 and p = 0.23, respectively), or during pregnancy (p = 0.35 and p = 0.32, respectively).
After adjusting for peri-pregnancy tobacco and alcohol use and maternal education, children with ASD did not differ significantly from children in the DD or POP groups in their likelihood of having a mother who reported using cannabis at any time during the peri-pregnancy period, pre-conception only, or during pregnancy (Table 3). No other variables confounded this relationship. Analyses of cannabis use by trimester and during breastfeeding were based on small numbers of users, precluding covariate adjustment.
Discussion
In this community-based case–control study of preschool-aged children, we aimed to quantify the association between maternal cannabis use prior to conception and throughout pregnancy with ASD. We found that maternal self-reported use of cannabis in the peri-pregnancy period was not associated with ASD, after accounting for maternal education and peri-pregnancy tobacco and alcohol use. Peri-pregnancy cannabis use was uncommon in this sample of mothers who delivered between 2003 and 2011, when medical use was illegal at some study sites and adult non-medical use was illegal at all sites. However, self-reported prenatal cannabis use has been found to underestimate prevalence measured by positive toxicology by at least 50% (Young-Wolff et al., 2017), hence true prevalence in our sample may have been higher. Most women who reported using cannabis during pregnancy did so only in the first trimester; nearly all were continuing use from the pre-conception period. Mark et al. (2017) found that among women who reported using cannabis at the time of pregnancy diagnosis, 34% continued use in pregnancy, with 96% reporting they did so to treat nausea.
Several longitudinal studies have examined the effect of prenatal cannabis use on neurobehavioral outcomes. Corsi et al. (2020) found that self-reported cannabis use was associated with a significantly increased risk of ASD diagnosis compared to the general population. Differences in SEED sample and methods may help explain our differing results, specifically, a higher prevalence of prenatal cannabis use in our sample, determination of ASD case status by research-reliable clinicians, and inclusion of children not previously diagnosed with ASD (about one-third of cases). Our study expands on Corsi et al.’s findings by comparing children with ASD to those with other neurodevelopmental disorders as well as to population controls and by examining use and risk by trimester and during breastfeeding. Other cohort studies, none of which examined ASD risk, have reported measurable, albeit small and somewhat inconsistent, differences in some facets of cognition and behavior, beginning around 4 years of age (Day et al., 1994; Fried & Watkinson, 1990; Griffith et al., 1994; Metz & Borgelt, 2018; National Academies Press, 2017; Roncero et al., 2020). The endocannabinoid system plays an important role in fetal brain development (Helliwell et al., 2004; Richardson et al., 2016) and cannabinoid receptors are widespread in the fetal cerebral cortex, hippocampus and basal ganglia (Jutras-Aswad et al., 2009). Further, Δ9-tetrahydrocannabinol (THC) and its metabolites are known to freely pass the placental barrier and the fetal blood–brain barrier (Little & VanBeveren, 1996). In rodent studies, prenatal or perinatal exposure to cannabinoids leads to enduring changes in the developing brain (Roncero et al., 2020). Therefore, questions remain about potential harms from prenatal cannabis exposure, including possible effects on ASD risk.
There were limitations to this study. Relatively few mothers reported cannabis use, limiting statistical power to detect associations, to examine adjusted associations with use by trimester or during breastfeeding, and to test interactions with prenatal tobacco use. We excluded mothers who did not answer questions on drug use, which may have introduced selection bias, although only 1% of otherwise eligible participants were excluded for this reason. While self-reported prenatal cannabis use collected 1 year after delivery correlates moderately well with data from antenatal interviews (Jacobson et al., 2002), recall may be less accurate 3–5 years later. Only two SEED sites were in states with legalized medical cannabis use during the period when most interviews were conducted, thus social biases may have contributed to under-reporting in both cases and controls. Self-reported cannabis use during pregnancy has low sensitivity but high specificity compared to serial urine testing (El Marroun et al., 2011; Young-Wolff et al., 2020); exposure misclassification may therefore have biased our findings. We also lacked information about route of ingestion, dose, and frequency of use. In the SEED study, a substantial number of families identified from recruitment sources could not be contacted. Analyses from one SEED site found non-response to be associated with younger maternal age, lower maternal education, and non-white race (Schieve et al., 2018), which have been associated with cannabis use (Ko et al., 2015; Mark et al., 2016). Further, other lifestyle and health-related behaviors of participants who agreed to participate in SEED’S intensive research protocol may differ from those not represented in this study. These differences may affect the generalizability of our findings.
This study also has several strengths, including use of research-reliable administration of standardized instruments to evaluate and classify children with ASD, identification and inclusion of children not previously diagnosed with autism (perhaps reflecting lack of care access or milder symptoms), comprehensive data collection enabling examination of multiple covariates known to be associated with cannabis use, and inclusion of two different control groups (Schendel et al., 2012).
With medical and adult non-medical cannabis use currently legal in in most US states and in many other countries, the prevalence of peri-pregnancy use may increase. Given the potential risk suggested by underlying neurobiology and existing animal and epidemiological studies, larger studies with more detailed information on frequency, amount and mode of intake are needed to determine the relationship between cannabis use and ASD and other adverse neurodevelopmental outcomes. The large Generation R Study, an ongoing cohort study from fetal life until adulthood (Kooijman et al., 2016), as well as planned follow-up into adolescence and adulthood of children enrolled in SEED, may provide important new data on this topic. Until more definitive information is available, counseling women regarding potential adverse consequences of cannabis use during pregnancy and lactation and discouraging its use during this period is recommended (ACOG, 2017).
Acknowledgments
The authors gratefully acknowledge the contributions of Caroline Ledbetter, MPH, to the data analysis. We thank the SEED Data Coordinating Center team at the Clinical and Translational Sciences Institute of Michigan State University for their support throughout this study. This research was supported by the Centers for Disease Control and Prevention (CDC), Centers for Autism and Developmental Disabilities Research, through cooperative agreements (U10DD000180, U10DD000181, U10DD000182, U10DD000183, U10DD000184, and U10DD000498). CDC investigators contributed to study design, data collection, analysis and interpretation, and critical feedback on the manuscript. The lead author (CD) made the decision to submit the manuscript for publication. The report’s findings and conclusions are those of the authors and do not necessarily represent CDC’s official position, nor that of the California Department of Health.
Footnotes
Declarations
Conflict of interest All authors declare they have no conflict of interest.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1007/s10803-021-05339-4.
References
- Allen CW, Silove N, Williams K, & Hutchins P (2007). Validity of the social communication questionnaire in assessing risk of autism in preschool children with developmental problems. Journal of Autism and Developmental Disorders, 37(7), 1272–1278. 10.1007/s10803-006-0279-7 [DOI] [PubMed] [Google Scholar]
- American College of Obstetricians and Gynecologists. (2017). Marijuana use during pregnancy and lactation. Committee Opinion No. 722. Obstetrics & Gynecology, 130, e205–e209. [DOI] [PubMed] [Google Scholar]
- Bayrampour H, Zahradnik M, Lisonkova S, & Janssen P (2019). Women’s perspectives about cannabis use during pregnancy and the postpartum period: An integrative review. Preventive Medicine, 119, 17–23. 10.1016/j.ypmed.2018.12.002 [DOI] [PubMed] [Google Scholar]
- Brown QL, Sarvet AL, Shmulewitz D, Martins SS, Wall MM, & Hasin DS (2017). Trends in marijuana use among pregnant and nonpregnant reproductive-aged women, 2002–2014. Journal of the American Medical Association, 317(2), 207. 10.1001/jama.2016.17383 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Corsi DJ, Donelle J, Sucha E, Hawken S, Hsu H, El-Chaar D, Bisnaire L, Fell D, Wu Wen S, & Walker M (2020). Maternal cannabis use in pregnancy and child neurodevelopmental outcomes. Nature Medicine, 26, 1536–1540. [DOI] [PubMed] [Google Scholar]
- Day NL, Richardson GA, Goldschmidt L, Robles NPMT, Taylor PM, Stoffer DS, Cornelius MD, & Geva D (1994). Effect of prenatal marijuana exposure on the cognitive development of offspring at age three. Neurotoxicology and Teratology, 16(2), 169–175. 10.1016/0892-0362(94)90114-7 [DOI] [PubMed] [Google Scholar]
- DiGuiseppi CG, Daniels JL, Fallin DM, Rosenberg SA, Schieve LA, Thomas KC, Windham GC, Goss CW, Soke GN, Currie DW, Singer AB, Lee LC, Bernal P, Croen LA, Miller LA, Pinto-Martin JA, Young LM, & Schendel DE (2016). Demographic profile of families and children in the Study to Explore Early Development (SEED): Case-control study of autism spectrum disorder. Disability and Health Journal, 9(3), 544–551. 10.1016/j.dhjo.2016.01.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eiden RD, Schuetze P, Shisler S, & Huestis MA (2018). Prenatal exposure to tobacco and cannabis: Effects on autonomic and emotion regulation. Neurotoxicology and Teratology, 68, 47–56. 10.1016/j.ntt.2018.04.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- El Marroun H, Tiemeier H, Jaddoe VW, Hofman A, Verhulst FC, van den Brink W, & Huizink AC (2011). Agreement between maternal cannabis use during pregnancy according to self-report and urinalysis in a population-based cohort: The generation R study. European Addiction Research, 17(1), 37–43. 10.1159/000320550 [DOI] [PubMed] [Google Scholar]
- Fried PA, & Watkinson B (1990). 36- and 48-month neurobehavioral follow-up of children prenatally exposed to marijuana, cigarettes, and alcohol. Journal of Developmental & Behavioral Pediatrics, 11(2), 49–58. 10.1097/00004703-199004000-00003 [DOI] [PubMed] [Google Scholar]
- Gotham K, Risi S, Pickles A, & Lord C (2007). The autism diagnostic observation schedule: Revised algorithms for improved diagnostic validity. Journal of Autism and Developmental Disorders, 37(4), 613–627. 10.1007/s10803-006-0280-1 [DOI] [PubMed] [Google Scholar]
- Griffith DR, Azuma SD, & Chasnoff IJ (1994). Three-year outcome of children exposed prenatally to drugs. Journal of the American Academy of Child & Adolescent Psychiatry, 33(1), 20–27. 10.1097/00004583-199401000-00004 [DOI] [PubMed] [Google Scholar]
- Helliwell RJA, Chamley LW, Blake-Palmer K, Mitchell MD, Wu J, Kearn CS, & Glass M (2004). Characterization of the endocannabinoid system in early human pregnancy. Journal of Clinical Endocrinology and Metabolism, 89(10), 5168–5174. 10.1210/jc.2004-0388 [DOI] [PubMed] [Google Scholar]
- Jacobson SW, Chiodo LM, Sokol RJ, & Jacobson JL (2002). Validity of maternal report of prenatal alcohol, cocaine, and smoking in relation to neurobehavioral outcome. Pediatrics, 109(5), 815–825. 10.1542/peds.109.5.815 [DOI] [PubMed] [Google Scholar]
- Jarlenski M, Koma JW, Zank J, Bodnar LM, Bogen DL, & Chang JC (2017). Trends in perception of risk of regular marijuana use among US pregnant and nonpregnant reproductive-aged women. American Journal of Obstetrics and Gynecology, 217(6), 705–707. 10.1016/j.ajog.2017.08.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jutras-Aswad D, Dinieri JA, Harkany T, & Hurd YL (2009). Neurobiological consequences of maternal cannabis on human fetal development and its neuropsychiatric outcome. European Archives of Psychiatry and Clinical Neuroscience, 259(7), 395–412. 10.1007/s00406-009-0027-z [DOI] [PubMed] [Google Scholar]
- Ko JY, Coy KC, Haight SC, Haegerich TM, Williams L, Cox S, Njai R, & Grant AM (2020). Characteristics of marijuana use during pregnancy—eight states, pregnancy risk assessment monitoring system, 2017. MMWR Morbidity and Mortality Weekly Report, 69, 1058–1063. 10.15585/mmwr.mm6932a2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ko JY, Farr SL, Tong VT, Creanga AA, & Callaghan WM (2015). Prevalence and patterns of marijuana use among pregnant and nonpregnant women of reproductive age. American Journal of Obstetrics and Gynecology, 213(2), 201.e1–10. 10.1016/j.ajog.2015.03.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kooijman MN, Kruithof CJ, van Duijn CM, Duijts L, Franco OH, van IJzendoorn MH, de Jongste JC, Klaver CC, van der Lugt A, Mackenbach JP, Moll HA, Peeters RP, Raat H, Rings EH, Rivadeneira F, van der Schroeff MP, Steegers EA, Tiemeier H, Uitterlinden AG, … Jaddoe VW (2016). The generation R study: Design and cohort update 2017. European Journal of Epidemiology, 31(12), 1243–1264. 10.1007/s10654-016-0224-9.PMID:28070760; [DOI] [PMC free article] [PubMed] [Google Scholar]
- Little BB, & VanBeveren TT (1996). Placental transfer of selected substances of abuse. Seminars in Perinatology, 20(2), 147–153. 10.1016/s0146-0005(96)80082-6 [DOI] [PubMed] [Google Scholar]
- Lord C, Rutter M, DiLavore PC, & Risi S (1999). Autism diagnostic observation schedule. Western Psychological Services. [Google Scholar]
- Mark K, Desai A, & Terplan M (2016). Marijuana use and pregnancy: Prevalence, associated characteristics, and birth outcomes. Archives of Women’s Mental Health, 19(1), 105–111. 10.1007/s00737-015-0529-9 [DOI] [PubMed] [Google Scholar]
- Mark K, Gryczynski J, Axenfeld E, Schwartz RP, & Terplan M (2017). Pregnant women’s current and intended cannabis use in relation to their views toward legalization and knowledge of potential harm. Journal of Addiction Medicine, 11(3), 211–216. 10.1097/adm.0000000000000299 [DOI] [PubMed] [Google Scholar]
- Metz TD, & Borgelt LM (2018). Marijuana use in pregnancy and while breastfeeding. Obstetrics and Gynecology, 132(5), 1198–1210. 10.1097/aog.0000000000002878 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mullen EM (1995). Mullen scales of early learning (pp. 58–64). AGS. [Google Scholar]
- National Academies Press. (2017). The health effects of cannabis and cannabinoids: The current state of evidence and recommendations for research. National Academies Press. [PubMed] [Google Scholar]
- Richardson KA, Hester AK, & McLemore GL (2016). Prenatal cannabis exposure—The “first hit” to the endocannabinoid system. Neurotoxicology and Teratology, 58, 5–14. [DOI] [PubMed] [Google Scholar]
- Roncero C, Valriberas-Herrero I, Mezzatesta-Gava M, Villegas JL, Aguilar L, & Grau-López L (2020). Cannabis use during pregnancy and its relationship with fetal developmental outcomes and psychiatric disorders. A systematic review. Reproductive Health, 17(1), 25. 10.1186/s12978-020-0880-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rutter M, Bailey A, & Lord C (2003). Social communication questionnaire. Western Psychological Services. [Google Scholar]
- Schendel DE, Diguiseppi C, Croen LA, Fallin MD, Reed PL, Schieve LA, Wiggins LD, Daniels J, Grether J, Levy SE, Miller L, Newschaffer C, Pinto-Martin J, Robinson C, Windham GC, Alexander A, Aylsworth AS, Bernal P, Bonner JD,…Yeargin-Allsopp M (2012). The Study to Explore Early Development (SEED): A multisite epidemiologic study of autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) network. Journal of Autism and Developmental Disorders, 42(10), 2121–2140. 10.1007/s10803-012-1461-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schieve LA, Harris S, Maenner MJ, Alexander A, & Dowling NF (2018). Assessment of demographic and perinatal predictors of non-response and impact of non-response on measures of association in a population-based case control study: findings from the Georgia Study to Explore Early Development. Emerging Themes in Epidemiology, 15(1), 12. 10.1186/s12982-018-0081-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stroud LR, Papandonatos GD, McCallum M, Kehoe T, Salisbury AL, & Huestis MA (2018). Prenatal tobacco and marijuana co-use: Impact on newborn neurobehavior. Neurotoxicology and Teratology, 70, 28–39. 10.1016/j.ntt.2018.09.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- U.S. Department of Health and Human Services. (2010). How tobacco smoke causes disease: The biology and behavioral basis for smoking-attributable disease: A report of the surgeon general. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. [PubMed] [Google Scholar]
- Wiggins LD, Reynolds A, Rice CE, Moody EJ, Bernal P, Blaskey L, Rosenberg SA, Lee LC, & Levy SE (2015). Using standardized diagnostic instruments to classify children with autism in the Study to Explore Early Development. Journal of Autism and Developmental Disorders, 45(5), 1271–1280. 10.1007/s10803-014-2287-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Young-Wolff KC, Sarovar V, Tucker LY, Goler N, Conway A, Weisner C, Armstrong MA, & Alexeeff S (2020). Validity of self-reported cannabis use among pregnant females in Northern California. Journal of Addiction Medicine, 14(4), 287–292. 10.1097/ADM.0000000000000581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Young-Wolff KC, Tucker L-Y, Alexeeff S, Armstrong MA, Conway A, Weisner C, & Goler N (2017). Trends in self-reported and biochemically tested marijuana use among pregnant females in California from 2009–2016. JAMA, 318(24), 2490–2491. 10.1001/jama.2017.17225 [DOI] [PMC free article] [PubMed] [Google Scholar]