Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: Am J Prev Med. 2018 Sep 24;55(5):592–602. doi: 10.1016/j.amepre.2018.06.023

Maternal Cannabis Use During a Child’s Lifetime Associated With Earlier Initiation

Natasha A Sokol 1, Cassandra A Okechukwu 2, Jarvis T Chen 2, SV Subramanian 2, Vaughan W Rees 2
PMCID: PMC6481668  NIHMSID: NIHMS1525441  PMID: 30262151

Abstract

Introduction:

Earlier cannabis initiation is associated with more severe neuropsychiatric and social consequences. The authors investigated whether mothers’ cannabis use is associated with earlier cannabis initiation by their children.

Methods:

Mother and child data were from the National Longitudinal Survey of Youth 1979 (1980–1998 waves) and Child and Young Adults (1988–2014 waves) cohorts, respectively. Cox proportional hazard models assessed the effect of maternal cannabis use prior to a child’s adolescence on the child’s risk of subsequent cannabis initiation. Models were stratified by race and child’s age category (6–16, 17–24, ≥25 years). Adjusted analyses controlled for sociodemographic variables. Analyses were conducted in 2017.

Results:

Median age of cannabis initiation for children of maternal ever users was age 16 years, compared with age 18 years among children of maternal never users. Children of 1-year and multiple-year users were at increased risk of cannabis initiation between ages 6 and 16 years (hazard ratio=1.38, p<0.001, and hazard ratio=1.45, p<0.001, respectively). Effects were slightly stronger among non-Hispanic non-black children.

Conclusions:

As cannabis legalization expands across the U.S., adult use may become increasingly normative. This study indicates that maternal cannabis use may be a risk factor for early initiation among their offspring. Preventive interventions should consider strategies to delay initiation among children of cannabis users.

INTRODUCTION

Cannabis is the most widely used illicit substance in the U.S.1,2 In a regulatory sea of change, adult medical and recreational use and possession have recently been decriminalized or legalized in number of U.S. states. To date, 31 jurisdictions allow cannabis use as prescribed by a physician for medical treatment.3 Of these, nine have legalized non-medical recreational use and possession for adults.3 Only 16 states maintain fully prohibitionist policies.3

The likelihood of experiencing health consequences associated with cannabis use is strongly associated with age at initiation.46 The vast majority of those seeking treatment for cannabis use (the second most common drug for which individuals seek treatment after alcohol)7 initiate prior to age 17 years.8 Among cannabis users, earlier initiation is associated with increased risk of anxiety and depressive disorders.914 Child and adolescent cannabis use is associated with impairments in attention, concentration, decision making and working memory, and increased impulsivity, which may persist for weeks after use,1417 with evidence that some cognitive effects, including reductions in IQ,18 may linger into adulthood.14,1922 These cognitive impairments are important because they may undermine academic performance, limiting educational attainment during a critical period, and thus may impact cognition, income, and employment throughout the life course.6,23,24 The relationship between earlier initiation and long-term social consequences associated with cannabis use may be further mediated by the increased likelihood of developing dependence, or progressing to long-term, regular or heavy use among individuals who initiate prior to adulthood.14,2527 Among cannabis users, early initiation may also increase risk of the development of psychosis among predisposed individuals.6,16,19,20,28,29 Research has frequently noted differences in propensity for many of these adverse outcomes between those who initiated prior to age 16 or 17 years, compared with those who initiated later.6,8,30,31

Cannabis has recognized therapeutic benefits, including in the treatment of glaucoma, nausea, AIDS-associated anorexia and wasting syndrome, chronic pain, inflammatory conditions, multiple sclerosis, and epilepsy.32 There is also evidence that the availability of legal medical and recreational cannabis may reduce population opioid overdose deaths.33,34 Cannabis arrests account for more than half of all drug arrests in the U.S., and cannabis possession is a major driver of racial disparities in arrest and incarceration.35 For these reasons, total cannabis prohibition may not be consistent with public health objectives.

Instead, given the neurocognitive, health, and social consequences associated with early use, delaying initiation may be an important, but undervalued public health goal. However, there is limited research to directly inform this approach. Research that examines age at cannabis initiation is needed.31,3638 Prior work in this area has noted an increased likelihood for cannabis use and dependence among the offspring of cannabis-using parents3946; however, this research has often relied on homogeneous samples,4052 retrospective child reports of parent marijuana use,46,53 or cross-sectional data.45,54 In light of the changing regulatory environment, research on the influence of parental cannabis use on children’s propensity for early initiation is crucial for understanding and mitigating potential harm.

This study examines the association between maternal cannabis use during a child’s early life, and a child’s age at first use, using a nationally representative longitudinal cohort of mothers and their children. Using survival methods, analyses tested for a relationship between maternal cannabis use prior to 1998 and subsequent child use, and compared median age at first cannabis use and risk of using prior to age 17 years across levels of exposure.

METHODS

Study Sample

The study sample included women enrolled in the 1979 National Longitudinal Survey of Youth (NLSY79) and their biological children in the NLSY Children and Young Adults cohort (NLSYCYA). The NLSY79 is a nationally representative sample of individuals aged 14 to 21 years living in the U.S. in 1979 (N=12,686, 49.53% women). Participants were initially interviewed annually, and interviews have continued biennially since 1994.5557

The NLSYCYA began enrollment of all biological children aged 0–23 years born to women in the NLSY79 in 1986. As of 2014, the NLSYCYA had surveyed N=11,512 children aged 0–41 years born to 6,283 NLSY79 mothers. Administration is biennial until age 30 years, then reduced to once every 4 years.

Children who were age <12 years by 1998 (the most recent year in which the NLSY79 assessed cannabis use) were dropped from the sample (n=5,704) to ensure that all children had equal opportunity for exposure (birth to age 12 years). From the remaining n=6,438 mother/child dyads mothers and children for whom maternal use or child’s age at initiation could not be determined were excluded. The final analytic sample consisted of n=4,440 children born to n=2,586 mothers.

Measures

All variables were self-reported. The exposure variable was maternal cannabis use during a child’s birth to age 12 years. Children were considered at-risk for exposure beginning at birth, and ending at their age at initiation, or at age 12 years, whichever occurred first. A child who initiated cannabis prior to their mother’s first cannabis use during the child’s lifetime was considered unexposed at the time of initiation. NLSY79 participants were asked five questions to characterize past-year cannabis use between 1980 and 1998 (Appendix Figure 1), which were used to generate two variables characterizing maternal cannabis use during the defined exposure period. First, a binary variable identified ever users as any mother who ever reported using any cannabis during the exposure period. If a mother reported no use during this period, she was considered a never user. A separate three-level categorical variable was created and coded zero for never users; one if mothers reported use during 1 year of the exposure period (1-year users); and two if mothers reported use during >1 year of the exposure period (multiple-year users).

Child’s age at cannabis initiation (ACI) was generated from seven NLSYCYA items (Appendix Table 1), assessed on even years from 1988 to present (2014). A child was considered to have initiated in the first year they reported having ever used cannabis, after exclusively reporting having never used in prior surveys. The NLSYCYA also assessed ACI retrospectively, using the survey item, How old were you when you first used marijuana? ACI was derived from retrospective report if the respondent initiated prior to enrollment; or the respondent was not surveyed, or skipped or refused cannabis-related questions on at least one survey year immediately prior to the first reported use. Retrospective report was used to determine ACI for 23 respondents (0.77%). The final analytic sample of 4,440 excluded 142 dyads (3.10%) based on an arbitrary cutoff of age ≥6 years for child’s ACI, as the authors considered voluntary, self-initiated use prior to primary school unlikely and reports sufficiently aberrant or implausible as to misinform analyses.

All covariates were identified a priori based on their potential to confound the relationship of interest. All covariates took on baseline values (child’s age 6 years) unless otherwise noted.

Mothers reported educational attainment as the highest grade they completed, which was categorized (less than high school, high school, some college, college or more). Mother’s marital status was categorical (never married, married with spouse present, other). Mother’s age at child’s birth was binary (≥20 years, <20 years). Net-family income was reported continuously and adjusted to March 2017 values using the Bureau of Labor Statistics inflation calculator.58 Values were arranged into quintiles (1=lowest, 5=highest). A binary variable indicated whether mothers ever misused prescription drugs or used any illicit drug other than cannabis during the 12-year exposure period, (never used, used ≥1 time). Mothers were considered smokers if they reported smoking >100 cigarettes in their lifetime and daily or occasional smoking in the 1992 survey. Binge drinking was modeled as the number of days in the past week on which mothers drank four or more alcoholic drinks. Neighborhood environment was assessed using a five-level item that asked mothers, How would you rate your neighborhood as a place to raise children? Response options: 1=excellent, 2=very good, 3=good, 4=fair, 5=poor. Because this variable was measured biennially from 1992 to 1998, the earliest available response within the defined exposure period was used.

Child’s race as reported by the NLSYCYA was categorical (Hispanic; black; non-Hispanic, non-black [NHNB]). Gender was binary (male, female). Child behavior was assessed using raw scores from the Behavioral Problems Index (BPI), and cognitive performance was assessed using standardized scores from the Peabody Picture Vocabulary Test (PPVT), both described and validated elsewhere.59,60 For the BPI, mothers rate how often each of 28 statements about child behaviors is true of their child (1=often true, 2=sometimes true, 3=not true), and answers are summed, creating continuous score. The PPVT is administered by interviewers who read 175 words out loud and ask respondents to identify one of four pictures that accurately represents each word, generating a continuous score. For the purposes of these analyses, BPI and PPVT scores were arranged into quintiles. On the BPI, higher quintiles indicate less problem behavior. On the PPVT, higher quintiles indicate greater vocabulary.

Statistical Analysis

All analyses were performed in 2018 using Stata version, 15. Table 1 describes missingness and means or proportions for covariates. Missing values for all covariates other than the exposure and outcome were imputed using multiple imputation with chained equations, conditional on observed covariates under the assumption of missing at random. Imputed values were used only in parametric analyses.

Table 1.

Sample Characteristics, National Longitudinal Survey of Youth Children and Young Adults, 1988–2014

Characteristics Male N (%) Female N (%) All N (%) Imputed N (%)
Ever used marijuana 1,654 (74.37) 1,329 (59.97) 2,983 (67.18) 0
Age (years) at first use, mean (SD) 15.55 (2.91) 15.99 (3.13) 15.74 (3.02) 0
Raw BPI score, mean (SD)a 21.68 (38.08) 20.33 (36.17) 21.00 (37.14) 1,595 (34.79)
Standardized PPVT score, mean (SD)a 85.08 (21.27) 86.41 (20.05) 85.75 (20.67) 2,045 (44.60)
Race/ethnicity 0
 Hispanic 521 (23.43) 466 (21.03) 987 (22.23) -
 Black 769 (34.58) 820 (37.00) 1,589 (35.79) -
 Non-Hispanic, non-black 934 (42.00) 930 (41.97) 1,864 (41.98) -
How good is neighborhood for raising childrenb 185 (4.03)
 Excellent 385 (17.94) 380 (17.91) 765 (17.92) -
 Very good 549 (25.58) 552 (26.01) 1,101 (25.80) -
 Good 531 (24.74) 515 (24.27) 1,046 (24.51) -
 Fair 478 (22.27) 463 (21.82) 941 (22.05) -
 Poor 203 (9.46) 212 (9.99) 415 (9.72) -
Net family income, mean (SD)c,d 49,354.75
(115,352.50)
49,351.27
(97,823.21)
49,353.02
(106,959.50)
204 (4.45)
Born to mother younger than 20 676 (30.40) 673 (30.37) 1,349 (30.38) 0
Mother’s marital statusc 134 (2.92)
 Never married 480 (22.14) 487 (22.56) 967 (22.35) -
 Married, spouse present 1,229 (56.69) 1,196 (55.40) 2,425 (56.04) -
 Other 459 (21.17) 476 (22.05) 935 (21.61) -
Mother’s highest grade completedc 0
 Less than high school 643 (28.91) 657 (29.65) 1,300 (29.28) -
 High school 1,092 (49.10) 1,079 (48.69) 2,171 (49.90) -
 Some college 383 (17.22) 370 (16.70) 753 (16.96) -
 College or more 106 (4.77) 110 (4.96) 216 (4.86) -
Mother used drugs other than marijuana 941 (43.56) 937 (43.36) 1,878 (43.46) 150 (3.27)
Mother is current smoker 743 (33.41) 703 (31.72) 1,446 (32.57) 570 (12.84)
Mother binge drank 1 or more days in past week 174 (7.82) 182 (8.21) 356 (8.22) 126 (2.84)
Mother’s marijuana use category 1 (0.02)
 Never user 1,319 (59.31) 1,326 (59.84) 2,645 (59.57) -
 1-year user 348 (15.65) 415 (18.73) 827 (18.63) -
 Multiple-year user 440 (19.78) 475 (21.44) 968 (21.80) -
Total 2,224 (50.09) 2,216 (49.91) 4,440 (100.00)
a

At or before child’s age 6 years.

b

Earliest rating.

c

At child’s age 6 years.

d

Adjusted to 2017 dollars.

Hazard ratios (HRs) associated with exposure to maternal use were generated using Cox proportional hazards models. Models were adjusted for all covariates, and interactions between (1) child’s sex X maternal use, (2) child’s race X maternal use, and (3) child’s race X child’s sex. Median age at cannabis initiation was defined as the earliest age by which the survivor function derived from this model was ≤0.50, and was reported by exposure status, race, and gender. After testing interactions, for ease of interpretation and to allow all covariates to vary by child’s race and sex, stratified models were generated.

HRs associated with exposure to maternal cannabis use were independently assessed within categories of child’s age: 6–16, 17–24, and ≥25 years. Adjusted and race-stratified models were run in each age category, allowing respondents to enter the risk set at the category’s youngest age and censoring at its oldest age.

RESULTS

Overall, 2,983 children (67.2%) initiated cannabis use during the follow-up period (Table 1). About 1,053 (35.30%) of them had mothers who used cannabis during the exposure period. A crude Kaplan–Meier graph showed the median age of cannabis initiation for children whose mothers never used cannabis was 18 years, and the median age at initiation for children whose mothers used cannabis in 1 year or multiple years was 16 years (Appendix Figure 2).

The unadjusted Cox proportional hazards model indicated that compared with those whose mothers never used cannabis during their childhood, the overall risk of cannabis initiation within the follow-up period was 44% greater among children whose mothers used during one survey year (p<0.001), and 53% greater among children whose mothers used during multiple survey years (p<0.001; Table 2).

Table 2.

Hazard of Offspring Cannabis Initiation

Crude Adjusted With interactions
Variable HR (95% CI) p-value HR (95% CI) p-value HR (95% CI) p-value
Mother’s cannabis use category (ref mother is never user)
 1-year user 1.44 (1.32, 1.58) <0.001 1.37 (1.24, 1.51) <0.001 1.36 (1.14, 1.62) 0.001
 Multiple-year user 1.53 (1.40, 1.67) <0.001 1.44 (1.30, 1.59) <0.001 1.41 (1.19, 1.67) <0.001
Child is female 0.69 (0.64, 0.74) <0.001 0.69 (0.65, 0.75) <0.001 0.72 (0.63, 0.83) <0.001
Child’s race (ref non-Hispanic, non-black) <0.001 <0.001
 Hispanic 1.29 (1.17, 1.41) <0.001 1.34 (1.22, 1.48) <0.001 1.42 (1.22, 1.64) <0.001
 Black 0.99 (0.91, 1.08) 0.866 0.92 (0.83, 1.02) 0.096 1.19 (1.02, 1.38) 0.026
Mother’s cannabis use xgender (ref never users)
 1-year user, female - - - - 1.20 (1.00, 1.45) 0.055
 Multiple-year user, female - - - - 1.24 (1.04, 1.49) 0.017
Mother’s cannabis use x child’s race (ref never users)
 1-year, Hispanic - - - - 0.94 (0.74, 1.19) 0.604
 1-year, black - - - - 0.82 (0.66, 1.02) 0.078
 Multiple year, Hispanic - - - - 1.02 (0.79, 1.33) 0.867
 Multiple year, black - - - - 0.82 (0.67, 0.99) 0.043
Child’s race x child’s gender (ref non- Hispanic, non-black)
 Hispanic, female - - - - 0.94 (0.78, 1.13) 0.500
 Black, female - - - - 0.71 (0.60, 0.84) <0.001
Income quintile (ref third quintile) - - -
 First quintile 1.13 (1.01, 1.27) 0.033 0.98 (0.86, 1.11) 0.713 0.98 (0.86, 1.11) 0.712
 Second quintile 1.14 (1.01, 1.27) 0.031 1.00 (0.88, 1.13) 0.966 0.99 (0.87, 1.13) 0.895
 Fourth quintile 0.95 (0.85, 1.07) 0.422 0.88 (0.78, 1.00) 0.049 0.88 (0.78, 0.99) 0.040
 Fifth quintile 1.00 (0.88, 1.12) 0.948 1.01 (0.90, 1.14) 0.882 1.01 (0.90, 1.14) 0.882
BPI quintile (ref third quintile)
 First quintile 0.77 (0.68, 0.87) <0.001 0.86 (0.76, 0.98) 0.022 0.87 (0.76, 0.99) 0.033
 Second quintile 0.91 (0.80, 1.03) 0.132 0.99 (0.87, 1.13) 0.915 1.00 (0.88, 1.14) 0.974
 Fourth quintile 0.86 (0.76, 0.97) 0.013 0.91 (0.80, 1.03) 0.145 0.91 (0.81, 1.04) 0.155
 Fifth quintile 0.79 (0.70, 0.89) <0.001 0.80 (0.70, 0.92) 0.003 0.81 (0.71, 0.93) 0.003
PPVT quintile (ref Third quintile) 0.341
 First quintile 0.96 (0.80, 1.14) 0.627 0.91 (0.74, 1.12) 0.91 (0.74, 1.12) 0.332
 Second quintile 1.02 (0.89, 1.16) 0.790 1.01 (0.89, 1.15) 0.857 1.01 (0.89, 1.15) 0.866
 Fourth quintile 1.00 (0.87, 1.16) 0.979 1.00 (0.86, 1.16) 0.996 1.00 (0.86, 1.17) 0.970
 Fifth quintile 0.97 (0.85, 1.11) 0.659 1.02 (0.90, 1.16) 0.761 1.02 (0.90,1.16) 0.736
Mother’s highest completed level of education (ref high school)
 <High school 1.09(1.00, 1.18) 0.050 1.06 (0.97, 1.16) 0.195 1.06 (0.97, 1.16) 0.224
 Some college 1.02 (0.92, 1.13) 0.682 1.02 (0.92, 1.13) 0.689 1.03 (0.93, 1.14) 0.632
 College graduate 0.65 (0.54, 0.79) <0.001 0.72 (0.59, 0.89) 0.002 0.72 (0.59, 0.88) 0.001
Born to mother younger than 20 years 0.91 (0.84, 0.98) 0.014 0.80 (0.73, 0.87) <0.001 0.79 (0.72, 0.86) <0.001
Mother’s marital status (ref married, spouse present)
 Never married 1.23 (1.13, 1.34) <0.001 1.21 (1.07, 1.35) 0.002 1.21 (1.08, 1.36) 0.001
 Other 1.19 (1.09, 1.31) <0.001 1.12 (1.01, 1.24) 0.035 1.10 (1.00, 1.22) 0.061
Mother’s neighborhood rating (ref very good)
 Excellent 0.90 (0.80, 1.01) 0.081 0.92 (0.82, 1.04) 0.186 0.93 (0.83, 1.04) 0.210
 Good 1.04 (0.94, 1.16) 0.422 1.02 (0.92, 1.14) 0.664 1.03 (0.92, 1.14) 0.630
 Fair 1.12 (1.00, 1.25) 0.043 1.07 (0.95, 1.20) 0.289 1.07 (0.95, 1.21) 0.269
 Poor 1.31 (1.14, 1.49) <0.001 1.20 (1.03, 1.39) 0.019 1.19 (1.03, 1.39) 0.020
Mother used drugs other than marijuana 1.48 (1.38, 1.59) <0.001 1.26 (1.16, 1.36) <0.001 1.25 (1.15, 1.36) <0.001
Mother smoked cigarettes 1.34 (1.25, 1.45) <0.001 1.16 (1.07, 1.26) 0.001 1.17 (1.07, 1.27) <0.001
Past week number of days mother drank ≥4 drinks 1.06 (1.00, 1.12) 0.062 1.02 (0.95, 1.08) 0.598 1.01 (0.95, 1.08) 0.673

Note: Boldface indicates statistical significance (p<0.05).

HR, hazard ratio; BPI, Behavioral Problems Index; PPVT, Peabody Picture Vocabulary Test.

In the adjusted Cox model, compared with children whose mothers never used cannabis, the risk of cannabis initiation among children whose mothers used cannabis in 1 year was 37% greater (p<0.001) and the risk of initiation among children whose mothers used in multiple years was 44% greater (p<0.001; Table 2). The relationship held in stratified models for black girls, and NHNB boys and girls. No association was found between maternal use on any one survey year and risk of initiation among black or Hispanic boys; or between maternal use on multiple survey years and risk of initiation among Hispanic girls (Table 3). In general, median age at initiation for children whose mothers used cannabis in 1 year or multiple years was younger than for children whose mothers never used. However, for black boys, the median age at initiation was 17 years for children of never and multiple-year users, and 16 years for children of 1-year users (Table 3).

Table 3.

Hazard of and Median Age at Cannabis Initiation by Race, Gender, and Maternal Cannabis Use

Boys Girls
Variable HR (95% CI) p-value Median age (years) at initiationa HR (95% CI) p-value Median age (years) at initiationa
Hispanic
 Never ref 16 ref 17
 1-year 1.28 (0.96, 1.71) 0.091 15 1.40 (1.02, 1.93) 0.035 16
 Multiple-years 1.76 (1.22, 2.52) 0.002 15 1.11 (0.75, 1.65) 0.603 16
Black
 Never ref 17 ref Neverb
 1-year 1.19 (0.95, 1.50) 0.131 16 1.40 (1.09, 1.80) 0.008 18
 Multiple-years 1.27 (1.01, 1.58) 0.037 17 1.63 (1.28, 2.08) <0.001 18
Non-Hispanic, non-black
 Never ref 17 ref 20
 1-year 1.32 (1.07, 1.65) 0.011 16 1.49 (1.18, 1.87) 0.001 17
 Multiple-years 1.35 (1.09, 1.66) 0.005 16 1.72 (1.35, 2.18) <0.001 16

Note: Boldface indicates statistical significance (p<0.05).

a

Age at which survival reaches 0.50 or lower, estimated from adjusted Cox model with interactions between maternal cannabis use and race, maternal cannabis use and sex, and race and sex.

b

Survival never reaches 0.50 during the study period.

HR, hazard ratio.

In the adjusted Cox model limited to the youngest age category (6–16 years), maternal cannabis use in 1 year was associated with 38% greater risk of initiation (p<0.001), and maternal use in multiple years was associated with a 45% greater risk (p<0.001). The effect of maternal use on initiation held across all race strata (Table 4).

Table 4.

Hazard Ratios Associated With Maternal Cannabis Use Stratified by Child’s Race and Age

All ages
(2,979 initiation events)
6–16 years
(1,952 initiation events)
17–24 years
(641 initiation events)
≥25 years
(36 initiation events)
Mother’s cannabis use (ref never users) HR (95% CI) P-value HR (95% CI) P-value HR (95% CI) P-value HR (95% CI) P-value
All races (crude)
 1-year 1.44 (1.32, 1.58) <0.001 1.51 (1.35, 1.69) <0.001 1.28 (1.04, 1.58) 0.021 2.50 (1.21, 5.19) 0.014
 Multiple-years 1.53 (1.40, 1.67) <0.001 1.60 (1.44, 1.77) <0.001 1.45 (1.19, 1.76) <0.001 0.88 (0.30, 2.57) 0.819
All races (adjusted)a
 1-year 1.37 (1.24, 1.51) <0.001 1.38 (1.22, 1.56) <0.001 1.26 (1.01, 1.58) 0.044 3.40 (1.43, 8.09) 0.006
 Multiple-years 1.44 (1.30, 1.59) <0.001 1.45 (1.28, 1.64) <0.001 1.49 (1.18, 1.87) 0.001 1.40 (0.42, 4.66) 0.587
Hispanicb
 1-year 1.34 (1.09, 1.65) 0.005 1.30 (1.03, 1.65) 0.030 1.43 (0.80, 2.55) 0.225 -c -
 Multiple-years 1.43 (1.11, 1.84) 0.006 1.41 (1.07, 1.87) 0.016 2.00 (0.95, 4.20) 0.068 -c -
Blackb
 1-year 1.27 (1.08, 1.50) 0.005 1.41 (1.14, 1.74) 0.002 1.08 (0.77, 1.53) 0.657 2.55 (0.59, 11.07) 0.210
 Multiple-years 1.40 (1.19, 1.64) <0.001 1.29 (1.04, 1.59) 0.021 1.68 (1.22, 2.31) 0.001 1.12 (0.18, 7.05) 0.901
Non-Hispanic, non-blackb
 1-year 1.41 (1.21, 1.65) <0.001 1.35 (1.12, 1.63) 0.002 1.51 (1.05, 2.16) 0.027 6.00 (1.45, 24.81) 0.014
 Multiple-years 1.52 (1.30, 1.77) <0.001 1.64 (1.37, 1.97) <0.001 1.12 (0.74, 1.68) 0.602 1.70 (0.26, 11.12) 0.577

Note: Boldface indicates statistical significance (p<0.05).

a

Adjusted for child’s sex, child’s race, adjusted family income quintile, PPVT quintile, BPI quintile, mother’s education, mother’s age at child’s birth, mother’s marital status, mothers neighborhood rating, mother’s use of illicit drugs other than cannabis, mother’s cigarette smoking and mother’s binge drinking.

b

Adjusted for all covariates except child’s race.

c

Omitted due to insufficient cell size.

HR, hazard ratio; PPVT, Peabody Picture Vocabulary Test; BPI, Behavioral Problems Index.

In the adjusted Cox model limited to the middle age category (17–24 years), maternal cannabis use in 1 year was associated with a 26% greater risk of initiation (p=0.044), and maternal cannabis use in multiple years was associated with a 49% greater risk (p=0.001). However, after race stratification, the relationship persisted only among black children whose mothers used in multiple years (HR=1.68, p=0.001) and NHNB children whose mothers used in 1-year (HR=1.51, p=0.027; Table 4).

In the adjusted Cox model limited to the oldest age category (≥25 years), maternal cannabis use in 1-year was associated with a 240% greater risk of initiation (p=0.006), but maternal cannabis use in multiple years did not show a statistically significant association with initiation during this period. Because of the low number of initiation events among Hispanic children in this time category (n=2), estimation of HRs associated with maternal use was not possible; however, maternal cannabis use in 1-year was associated with a sixfold increase in the risk of cannabis initiation among NHNB children (Table 4).

DISCUSSION

These analyses demonstrate an increased likelihood of cannabis initiation among children whose mothers used cannabis during their lifetimes. Children who were exposed to maternal cannabis use were also more likely to initiate cannabis prior to age 17 years, and initiated earlier on average. Effect sizes remained relatively stable following adjustment for social environmental factors.

There was also some evidence that race may have modified the effect of maternal cannabis use on child cannabis initiation, with the strongest and most consistent effects observed among NHNB children. Although the current analyses could not explain this difference, it is an important area for future inquiry, particularly given the major racial inequities in the legal consequences for cannabis use.35

This study is the first of which the authors are aware to demonstrate a relationship between maternal cannabis use during a child’s lifetime and earlier cannabis initiation using a nationally representative longitudinal cohort. Previous analytic techniques have modeled cannabis use as a binary outcome.39,44,53,62,63 Some research has investigated the intergenerational transmission of use by modeling parent use as any use during the parent’s lifetime.39,44 Other research reporting child perceptions of parent use may not accurately reflect actual parent use.26,46,53,64 Further, research using community- or school-based samples, which may induce selection bias, may not allow for adequate adjustment for potentially confounding demographic and socioenvironmental variables.62,63 This study is strengthened by its use of survival methods, which enabled analyses that may inform efforts to delay rather than prevent initiation. This is particularly important given research demonstrating the relative importance of age at initiation on the likelihood of experiencing cannabis-related consequences, and the demonstrated therapeutic benefits of adult cannabis use. The study design further allowed for examination of role of race and gender in these relationships, and adjustment for important socioenvironmental factors.

Although the effect of exposure to maternal cannabis use resulted in differences in average ACI of only 1 or 2 years, the health implications may nonetheless be substantial. A recent literature review noted a negative relationship between age of cannabis initiation and severity of and impairment from psychotic symptoms.30 Research has also documented poorer cognitive performance among chronic cannabis smokers who initiated before age 16 years, compared with those who initiated after 16 years.31 A review of cannabis-related admissions to substance use treatment indicated that individuals who initiated prior to age 17 years make up a vast majority of these cases,8 and other research has demonstrated an association between initiation prior to 17 years and certain cognitive deficits apparent as early as age 20 years.6 Analyses demonstrating lower ACI among children of maternal cannabis users, increased risk of early initiation among children of ever users, and decreased risk of early initiation among never users, suggest that maternal cannabis use during a child’s lifetime may have important implications for life course health.

Limitations

Although mothers’ cannabis use during children’s lifetimes was measured, whether the child was aware of the use could not be determined. The measurement of maternal cannabis use does not measure frequency or severity, but persistence. For example, a mother who used every day for 1 year and quit would be categorized as a 1-year user, whereas a mother who used one time in 2 separate years would be categorized as a multiple-year user. The NLSYCYA only surveyed women and their biological children, and results cannot be generalized to other parents. Because the authors were unwilling to assume cannabis-related survey items were missing at random (a required assumption for multiple imputation), a large proportion of respondents were excluded due to missing data, which may raise concerns about the representativeness of the analytic sample.

CONCLUSIONS

Delaying initiation may be an important means of preventing health consequences associated with cannabis use. Developing a deeper and more nuanced understanding of risk factors for early initiation is a critical step in intervention design and delivery. In a regulatory environment where increasing normalization of adult use is anticipated,65 these findings indicate multiple potential pathways for future research and intervention. Incorporating maternal cannabis use into the collective understanding of the important risk factors for early initiation may aid in the identification of at-risk youth for more tailored or intensive prevention strategies. But interventions may also be directed toward cannabis-using parents. Research may seek to understand best practices for preventing early initiation among children of cannabis-using parents, which may include either decreasing or pausing use, reducing the visibility of use until children are older, training cannabis-using parents to address the issue of cannabis use with children, or developing and providing tools and resources for effective parenting while using cannabis. To better inform these interventions, further investigation of critical periods for exposure and mechanisms for this effect, and of other factors that exerted an effect on early initiation in this study (i.e., other maternal drug use, family structure) are necessary. In the meantime, pediatricians and adolescent health providers may consider screening for parent cannabis use, and equipping parents with existing evidence-based strategies to manage their own use and delay their child’s initiation.

Supplementary Material

1

ACKNOWLEDGMENTS

This work was supported by National Institute of Drug Abuse (NIDA) Ruth L. Kirschstein National Research Service Award Individual Predoctoral Fellowship #1F31DA039586–01 and NIDA grant #R03DA038697. The content is solely the responsibility of the authors and does not necessarily reflect the views of NIDA or NIH.

All work was completed in the Department of Social and Behavioral Sciences at the Harvard T.H. Chan School of Public Health.

The authors would like to acknowledge Dr. Stephen Gilman for his valuable feedback on this manuscript.

NS oversaw all aspects of research and writing, and takes full and final responsibility for this manuscript. She prepared, performed, and interpreted all analyses, and conceptualized the research question and design. CO assisted with writing the manuscript, and collaborated on research design. JC guided the analytic approach, and provided critical feedback throughout the writing process. SS provided methodologic feedback and critical feedback on the final manuscript. VR collaborated on the conceptualization of the research question and interpretation of the results, and assisted in the writing of the manuscript. All authors were involved in reviewing and editing the final paper.

Statistical programming support was provided by data science specialist Simo Goshev at the Institute for Quantitative Social Science at Harvard University.

No financial disclosures were reported by the authors of this paper.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

REFERENCES

  • 1.Gordon AJ, Conley JW, Gordon JM. Medical consequences of marijuana use: a review of current literature. Curr Psychiatry Rep. 2013;15(12):419 10.1007/s11920-013-0419-7. [DOI] [PubMed] [Google Scholar]
  • 2.Center for Behavioral Health Statistics and Quality. Behavioral Health Trends in the United States: Results from the 2014 National Survey on Drug Use and Health HHS Publication No. SMA 15–4927, NSDUH Series H-50. Rockville, MD; 2015. www.samhsa.gov/data/sites/default/files/NSDUH-FRR1-2014/NSDUH-FRR1-2014.pdf. Accessed June 27, 2018. [Google Scholar]
  • 3.National Conference of State Legislatures. Marijuana Overview. www.ncsl.org/research/civil-and-criminal-justice/marijuana-overview.aspx. Published 2017. Accessed October 16, 2017. [Google Scholar]
  • 4.Ellickson PL, D’Amico EJ, Collins RL, Klein DJ. Marijuana use and later problems: when frequency of recent use explains age of initiation effects (and when it does not). Subst Use Misuse. 2005;40(3):343–359. 10.1081/JA-200049356. [DOI] [PubMed] [Google Scholar]
  • 5.Stefanis NC, Dragovic M, Power BD, Jablensky A, Castle D, Morgan VA. Age at initiation of cannabis use predicts age at onset of psychosis: the 7-to 8-year trend. Schizophr Bull. 2013;39(2):251–254. 10.1093/schbul/sbs188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Castellanos-Ryan N, Pingault J- B, Parent S, Vitaro F, Tremblay RE, Séguin JR. Adolescent cannabis use, change in neurocognitive function, and high-school graduation: a longitudinal study from early adolescence to young adulthood. Dev Psychopathol. 2017;29(4):1253–1266. 10.1017/S0954579416001280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. Treatment Episode Data Set (TEDS) 2003–2013 National Admissions to Substance Abuse Treatment Services. Rockville, MD; 2015. www.samhsa.gov/data/sites/default/files/2003_2013_TEDS_National/2003_2013_Treatment_Episode_Data_Set_National.pdf. Accessed September 28, 2017. [Google Scholar]
  • 8.Strashny A Marijuana admissions to substance abuse treatment aged 18 to 30: early vs. adult initiation. CBHSQ Report. www.ncbi.nlm.nih.gov/pubmed/27631060. Published 2013. Accessed May 13, 2017. [PubMed] [Google Scholar]
  • 9.Patton G, Coffey C, Carlin J, Degenhardt L, Lynskey M, Hall W. Cannabis use and mental health in young people: cohort study. Br Med J. 2002;325:1195 10.1136/bmj.325.7374.1195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.de Graaf R, Radovanovic M, van Laar M, et al. Early cannabis use and estimated risk of later onset of depression spells: epidemiologic evidence from the population-based World Health Organization World Mental Health Survey Initiative. Am J Epidemiol. 2010;172(2):149–159. 10.1093/aje/kwq096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.van Laar M, van Dorsselaer S, Monshouwer K, de Graaf R. Does cannabis use predict the first incidence of mood and anxiety disorders in the adult population? Addiction. 2007;102(8):1251–1260. 10.1111/j.1360-0443.2007.01875.x. [DOI] [PubMed] [Google Scholar]
  • 12.Degenhardt L, Coffey C, Romaniuk H, et al. The persistence of the association between adolescent cannabis use and common mental disorders into young adulthood. Addiction. 2013;108(1):124–133. 10.1111/j.1360-0443.2012.04015.x. [DOI] [PubMed] [Google Scholar]
  • 13.Hayatbakhsh M, Najman J, Jamrozik K, Mamun A, Alati R, Bor W. Cannabis and anxiety and depression in young adults. J Am Acad Child Adolesc Psychiatry. 2007;46(3):408–417. 10.1097/chi.0b013e31802dc54d. [DOI] [PubMed] [Google Scholar]
  • 14.Levine A, Clemenza K, Rynn M, Lieberman J. Evidence for the risks and consequences of adolescent cannabis exposure. J Am Acad Child Adolesc Psychiatry. 2017;56(3):214–225. 10.1016/j.jaac.2016.12.014. [DOI] [PubMed] [Google Scholar]
  • 15.Dougherty DM, Mathias CW, Dawes MA, et al. Impulsivity, attention, memory, and decision-making among adolescent marijuana users. Psychopharmacology (Berl). 2013;226(2):307–319. 10.1007/s00213-012-2908-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Medina K, Hanson K, Schweinsburg A, Cohen-Zion M, Nagel B, Tapert S. Neuropsychological functioning in adolescent marijuana users: subtle deficits detectable after a month of abstinence. J Int Neuropsychol Soc. 2007;13(5):807–820. 10.1017/S1355617707071032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.McHale S, Hunt N. Executive function deficits in short-term abstinent cannabis users. Hum Psychopharmacol. 2008;23(5):409–415. 10.1002/hup.941. [DOI] [PubMed] [Google Scholar]
  • 18.Meier M, Caspi A, Ambler A, et al. Persistent cannabis users show neuropsychological decline from childhood to midlife. Proc Natl Acad Sci U S A. 2012;109(40):E2657064 10.1073/pnas.1206820109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Crean R, Crane N, Mason B. An evidence based review of acute and long-term effects of cannabis use on executive cognitive functions. J Addict Med. 2011;5(1):1–8. 10.1097/ADM.0b013e31820c23fa. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Jacobus J, Tapert S. Effects of cannabis on the adolescent brain. Curr Pharm Des. 2014;20(13):2186–2193. 10.2174/13816128113199990426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Tapert SF, Granholm E, Leedy NG, Brown SA. Substance use and withdrawal: neuropsychological functioning over 8 years in youth. J Int Neuropsychol Soc. 2002;8(7):873–883. 10.1017/S1355617702870011. [DOI] [PubMed] [Google Scholar]
  • 22.Ehrenreich H, Rinn T, Kunert HJ, et al. Specific attentional dysfunction in adults following early start of cannabis use. Psychopharmacology (Berl). 1999;142(3):295–301. 10.1007/s002130050892. [DOI] [PubMed] [Google Scholar]
  • 23.Lorenzetti V, Solowij N, Yücel M. The role of cannabinoids in neuroanatomic alterations in cannabis users. Biol Psychiatry. 2016;79(7):e17–e31. 10.1016/j.biopsych.2015.11.013. [DOI] [PubMed] [Google Scholar]
  • 24.Belendiuk K, Baldini L, Bonn-Miller M. Narrative review of the safety and efficacy of marijuana for the treatment of commonly state-approved medical and psychiatric disorders. Addict Sci Clin Pract. 2015;10:10 10.1186/s13722-015-0032-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ellickson PL, Martino SC, Collins RL. Marijuana use from adolescence to young adulthood: multiple developmental trajectories and their associated outcomes. Health Psychol. 2004;23(3):299–307. 10.1037/0278-6133.23.3.299. [DOI] [PubMed] [Google Scholar]
  • 26.Ellickson P, Tucker JS, Klein DJ, Saner H. Antecedents and outcomes of marijuana use initiation during adolescence. Prev Med (Baltim). 2004;39(5):976–984. 10.1016/j.ypmed.2004.04.013. [DOI] [PubMed] [Google Scholar]
  • 27.Tapert SF, Schweinsburg AD, Drummond SPA, et al. Functional MRI of inhibitory processing in abstinent adolescent marijuana users. Psychopharmacology (Berl). 2007;194(2):173–183. 10.1007/s00213-007-0823-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Moore T, Zammit S, Lingford-Hughes A, et al. Cannabis use and risk of psychotic or affective mental health outcomes: a systematic review. Lancet. 2007;370(9584):319–328. 10.1016/S0140-6736(07)61162-3. [DOI] [PubMed] [Google Scholar]
  • 29.Radhakrishnan R, Wilkinson ST, D’Souza DC. Gone to pot – a review of the association between cannabis and psychosis. Front Psychiatry. 2014;5:54 10.3389/fpsyt.2014.00054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bagot KS, Milin R, Kaminer Y. Adolescent initiation of cannabis use and early-onset psychosis. Subst Abus. 2015;36(4):524–533. 10.1080/08897077.2014.995332. [DOI] [PubMed] [Google Scholar]
  • 31.Sagar KA, Dahlgren MK, Gönenç A, Racine MT, Dreman MW, Gruber SA. The impact of initiation: early onset marijuana smokers demonstrate altered Stroop performance and brain activation. Dev Cogn Neurosci. 2015;16:84–92. 10.1016/j.dcn.2015.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Volkow ND, Baler RD, Compton WM, Weiss SRBB. Adverse health effects of marijuana use. N Engl J Med. 2014;370(23):2219–2227. 10.1056/NEJMra1402309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Livingston MD, Barnett TE, Delcher C, Wagenaar AC. Recreational cannabis legalization and opioid-related deaths in Colorado, 2000–2015. Am J Public Health. 2017;107(11):1827–1829. 10.2105/AJPH.2017.304059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Bachhuber MA, Saloner B, Cunningham CO, Barry CL. Medical cannabis laws and opioid analgesic overdose mortality in the United States, 1999–2010. JAMA Intern Med. 2014;174(10):1668–1673. 10.1001/jamainternmed.2014.4005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.American Civil Liberties Union. The War on Marijuana in Black and White. New York, NY; 2013. www.aclu.org/sites/default/files/field_document/1114413-mj-report-rfs-rel1.pdf. Accessed August 4, 2017. [Google Scholar]
  • 36.Chen X, Yu B, Lasopa SO, Cottler LB. Current patterns of marijuana use initiation by age among U.S. adolescents and emerging adults: implications for intervention. Am J Drug Alcohol Abus. 2017;43(3):261–270. 10.3109/00952990.2016.1165239. [DOI] [PubMed] [Google Scholar]
  • 37.Lisdahl KM, Gilbart ER, Wright NE, Shollenbarger S. Dare to delay? The impacts of adolescent alcohol and marijuana use onset on cognition, brain structure, and function. Front Psychiatry. 2013;4:53 10.3389/fpsyt.2013.00053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. The TEDS Report: Marijuana Admissions to Substance Abuse Treatment Aged 18 to 30: Early vs. Adult Initiation. Rockville, MD; 2013. www.samhsa.gov/data/sites/default/files/MarijuanaAdmissionsAged18to30EarlyVsAdult/MarijuanaAdmissionsAged18to30EarlyVsAdult/Marijuana%20AdmissionsAged18to30EarlyVsAdult.htm. Accessed September 28, 2017. [PubMed] [Google Scholar]
  • 39.Miller S, Siegel J, Hohman Z, Crano W. Factors mediating the association of the recency of parent’s marijuana use and their adolescent children’s subsequent initiation. Psychol Addict Behav. 2013;27(3):848–853. 10.1037/a0032201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Dishion TJ, Loeber R. Adolescent marijuana and alcohol use: the role of parents and peers revisited. Am J Drug Alcohol Abus. 1985;11(1–2):11–25. 10.3109/00952998509016846. [DOI] [PubMed] [Google Scholar]
  • 41.Brook J, Richter L, Whiteman M. Effects of parent personality, upbringing, and marijuana use on the parent-child attachment relationship. J Am Acad Child Adolesc Psychiatry. 2000;39(2):240–248. 10.1097/00004583-200002000-00025. [DOI] [PubMed] [Google Scholar]
  • 42.Capaldi D, Tiberio S, Kerr D, Pears K. The relationships of parental alcohol versus tobacco and marijuana use with early adolescent onset of alcohol use. J Stud Alcohol Drugs. 2016;77(1):95–103. 10.15288/jsad.2016.77.95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Brook JS, Balka EB, Fei K, Whiteman M. The effects of parental tobacco and marijuana use and personality attributes on child rearing in African-American and Puerto Rican young adults. J Child Fam Stud. 2006;15(2):157–168. 10.1007/s10826-005-9010-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Kerr DCR, Tiberio SS, Capaldi DM. Contextual risks linking parents’ adolescent marijuana use to offspring onset. Drug Alcohol Depend. 2015;154:222–228. 10.1016/j.drugalcdep.2015.06.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Hopfer C, Stallings M, Hewitt J, Crowley T. Family transmission of marijuana use, abuse, and dependence. J Am Acad Child Adolesc Psychiatry. 2003;42(7):834–841. 10.1097/01.CHI.0000046874.56865.85. [DOI] [PubMed] [Google Scholar]
  • 46.Brook J, Zhang C, Koppel J, Brook D. Pathways from earlier marijuana use in the familial and non-familial environments to self-marijuana use in the fourth decade of life. Am J Addict. 2008;17(6):497–503. 10.1080/10550490802408373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Pears K, Capaldi D, Owen L. Substance use risk across three generations: the role of parent discipline practices and inhibitory control. Psychol Addict Behav. 2007;21(3):373–386. 10.1037/0893-164X.21.3.373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Hops H, Duncan T, Duncan S, Stoolmiller M. Parent substance use as a predictor of adolescent use: a six-year lagged analysis. Ann Behav Med. 1996;18(3):157–164. 10.1007/BF02883392. [DOI] [PubMed] [Google Scholar]
  • 49.Li C, Pentz M, Chou C. Parental substance use as a modifier of adolescent substance use risk. Addiction. 2002;97(12):1537–1550. 10.1046/j.1360-0443.2002.00238.x. [DOI] [PubMed] [Google Scholar]
  • 50.Riggs N, Chou C, Pentz M. Protecting against intergenerational problem behavior: mediational effects of prevented marijuana use on second-generation parent-child relationships and child impulsivity. Drug Alcohol Depend. 2009;100(1–2):153–160. 10.1016/j.drugalcdep.2008.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Shorey R, Fite P, Elkins S, et al. The association between problematic parental substance use and adolescent substance use in an ethnically diverse sample of 9th and 10th graders. J Prim Prev. 2013;34(6):381–393. 10.1007/s10935-013-0326-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Andrews J, Hops H, Duncan S. Adolescent modeling of parent substance use: the moderating effect of the relationship with the parent. J Fam Psychol. 1997;11(3):259–270. 10.1037/0893-3200.11.3.259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Ewing BA, Osilla KC, Pedersen ER, Hunter SB, Miles JN V, D’Amico EJ. Longitudinal family effects on substance use among an at-risk adolescent sample. Addict Behav. 2015;41:185–191. 10.1016/j.addbeh.2014.10.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Gfroerer J Correlation between drug use by teenagers and drug use by older family members. Am J Drug Alcohol Abus. 1987;13(1–2):95–108. [DOI] [PubMed] [Google Scholar]
  • 55.Bureau of Labor Statistics. Sample Design | National Longitudinal Survey of Youth Children and Young Adults National Longitudinal Surveys. www.nlsinfo.org/content/cohorts/nlsy79-children/intro-to-the-sample/sample-design. Published 2017. Accessed March 8, 2017. [Google Scholar]
  • 56.Bureau of Labor Statistics. National Longitudinal Survey of Youth 1979 Retention & Reasons for Noninterview. National Longitudinal Surveys. [Google Scholar]
  • 57.Frankel MR, Mcwill HA, Spencer BD. National Longitudinal Survey of Labor Force Behavior, Youth Survey (NLS) Technical Sampling Report. Worthington, OH; 1983. https://www.nlsinfo.org/sites/nlsinfo.org/files/attachments/130212/NLSY79TechSampRpt.pdf. Accessed March 8, 2017. [Google Scholar]
  • 58.Bureau of Labor Statistics. CPI Inflation Calculator. https://data.bls.gov/cgi-bin/cpicalc.pl. Accessed May 9, 2017. [Google Scholar]
  • 59.Bureau of Labor Statistics. Behavior Problems Index (BPI) | National Longitudinal Surveys. www.nlsinfo.org/content/cohorts/nlsy79-children/topical-guide/assessments/behavior-problems-index-bpi. Accessed July 26, 2017. [Google Scholar]
  • 60.Bureau of Labor Statistics. Peabody Picture Vocabulary Test - Revised (PPVT-R). National Longitudinal Surveys. www.nlsinfo.org/content/cohorts/nlsy79-children/topical-guide/assessments/peabody-picture-vocabulary-test-revised. Published 2016. Accessed April 5, 2016. [Google Scholar]
  • 61.Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons; 1987. 10.1002/9780470316696. [DOI] [Google Scholar]
  • 62.Duncan T, Duncan S, Hops H, Stoolmiller M. An analysis of the relationship between parent and adolescent marijuana use via generalized estimating equation methodology. Multivariate Behav Res. 1995;30(3):317–339. 10.1207/s15327906mbr3003_2. [DOI] [PubMed] [Google Scholar]
  • 63.Kandel D Adolescent marihuana use: role of parents and peers. Science. 1973;181(4104):1067 10.1126/science.181.4104.1067. [DOI] [PubMed] [Google Scholar]
  • 64.Napper L, Hummer J, Chithambo T, LaBrie J. Perceived parent and peer marijuana norms: the moderating effect of parental monitoring during college. Prev Sci. 2014;16(3):364–373. 10.1007/s11121-014-0493-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Kosterman R, Bailey JA, Guttmannova K, et al. Marijuana legalization and parents’ attitudes, use, and parenting in Washington State. J Adolesc Heal. 2016;59(4):450–456. 10.1016/j.jadohealth.2016.07.004. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1

RESOURCES