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Many studies have examined changes in marijuana use across adolescence, but few have examined factors associated with transitions from adolescence to young adulthood. We examined prenatal exposures to alcohol and marijuana and adolescent risk and protective factors that best distinguished among abstinence, continuity, or cessation of marijuana use from 16 to 22 years. Data were from the Maternal Health Practices and Child Development Project at the prenatal and 16- and 22-year follow-up phases. The offspring were of lower socioeconomic status with an average of 12.8 years of education at 22 years. Participants' frequency and quantity of marijuana use over the past year were used to determine change in use. A discriminant analysis was applied to distinguish among the identified groups. The risk factors considered included prenatal substance exposures and age 16 demographics, behavior, and home environment. Four categories of transitions were defined based on marijuana use from 16 to 22 years: non-users (n = 193), stop/decrease (n = 81), continue at same level/increase (n = 125), and initiation after the 16-year phase (n = 122). The factors that best distinguished among these groups were peers' marijuana use, delinquency, caregivers' financial strain, prenatal exposure to alcohol and marijuana, and race. Prenatal alcohol and marijuana exposure were significantly related to transitions of marijuana use from adolescence to young adulthood, controlling for peers' use, behavior problems, and home environment. While gestational marijuana exposure was associated with early initiation/increasing use, alcohol exposure was related to later initiation. The findings emphasize the long-term effects of prenatal exposure to alcohol and marijuana. • Discriminant analysis identified factors linked to 16–22 years marijuana use. • Adolescent delinquency and peer use were linked to persistent marijuana use. • Caregiver financial strain was also associated with continued marijuana use. • Prenatal marijuana exposure was associated with early initiation of use. • Prenatal alcohol exposure was associated with later initiation of marijuana use. [ABSTRACT FROM AUTHOR]

Summary: High levels of prenatal alcohol exposure (PAE) result in significant cognitive deficits in children, but the exact nature of the dose‐response relationship is less well understood. To investigate this relationship, data were assembled from six longitudinal birth cohort studies examining the effects of PAE on cognitive outcomes from early school age through adolescence. Structural equation models (SEMs) are a natural approach to consider, because of the way they conceptualise multiple observed outcomes as relating to an underlying latent variable of interest, which can then be modelled as a function of exposure and other predictors of interest. However, conventional SEMs could not be fitted in this context because slightly different outcome measures were used in the six studies. In this paper we propose a multi‐group Bayesian SEM that maps the unobserved cognition variable to a broad range of observed outcomes. The relation between these variables and PAE is then examined while controlling for potential confounders via propensity score adjustment. By examining different possible dose‐response functions, the proposed framework is used to investigate whether there is a threshold PAE level that results in minimal cognitive deficit. [ABSTRACT FROM AUTHOR]

Background: Patterns of smoking vary as a function of age and race. The goals of this study were to identify trajectories of maternal cigarette use over a 17-year span, and to determine if maternal age at first birth and race were associated with smoking trajectories.Methods: Pregnant women (N=690) were recruited at an urban prenatal clinic. The women (13-42years old; 62% African-American, 38% White) were interviewed about cigarette use during pregnancy and 6, 10, 14, and 16years postpartum. Growth mixture modeling (GMM) was used to identify trajectories. Regressions were used to determine if maternal age at first birth and race predicted trajectory class membership.Results: A GMM of maternal cigarette use delineated 5 groups: none/unlikely to use (33%), decreasing likelihood of use (6%), late desistance (5%), increasing likelihood of use (17%), and chronic use (39%). Women who became mothers at a younger age were more likely to be classified as late desisters or increasingly likely to smoke. White mothers were more likely to be chronic smokers. Different smoking trajectories and predictors of trajectories were identified for the African-American and White mothers. Covariates including prenatal substance use, hostility, education, and economic hardship also differentiated smoking trajectories.Conclusions: Both prevention and treatment of smoking should be targeted to specific groups by age of first pregnancy and race. Pregnant smokers should be provided with more information and resources to help them avoid cigarettes during pregnancy and maintain abstinence after pregnancy. [ABSTRACT FROM AUTHOR]

Evidence from animal models and epidemiological studies has linked prenatal alcohol exposure (PAE) to a broad range of long-term cognitive and behavioural deficits. However, there is a paucity of evidence regarding the nature and levels of PAE associated with increased risk of clinically significant cognitive deficits. To derive robust and efficient estimates of the effects of PAE on cognitive function, we have developed a hierarchical meta-analysis approach to synthesize information regarding the effects of PAE on cognition, integrating data on multiple outcomes from six U.S. longitudinal cohort studies. A key assumption of standard methods of meta-analysis, effect sizes are independent, is violated when multiple intercorrelated outcomes are synthesized across studies. Our approach involves estimating the dose–response coefficients for each outcome and then pooling these correlated dose–response coefficients to obtain an estimated “global” effect of exposure on cognition. In the first stage, we use individual participant data to derive estimates of the effects of PAE by fitting regression models that adjust for potential confounding variables using propensity scores. The correlation matrix characterizing the dependence between the outcome-specific dose–response coefficients estimated within each cohort is then run, while accommodating incomplete information on some outcome. We also compare inferences based on the proposed approach to inferences based on a full multivariate analysis. [ABSTRACT FROM AUTHOR]

Introduction: The goal of this study was to identify maternal patterns of prenatal and postnatal cigarette smoking associated with adolescent smoking. We hypothesized that maternal use at multiple time points, especially at later assessments when the offspring were adolescents, would predict offspring use.Methods: Pregnant women (N = 456: ages 13-42) were recruited from a prenatal clinic and interviewed during pregnancy and at delivery, providing data on cigarette use (any/none) for the first and third trimesters. Mothers were re-assessed at 6, 10, 14, and 16 years postpartum. Offspring reported cigarette use at age 16. Covariates included maternal race, age, education, family income, child age, parenting behavior, and other maternal and child substance use.Results: A growth mixture model revealed five patterns of tobacco use: infrequent/nonuse (39%), postpartum quitters (5%), later quitters (7%), increasing likelihood of being smokers (17%), and chronic users (32%). Offspring of postpartum quitters and the increasing likelihood of being smokers groups were more likely to use cigarettes, compared to adolescents of mothers from the infrequent/nonuse group, controlling for significant covariates.Conclusions: This is the first study to examine trajectories of maternal cigarette use from pregnancy to 16 years postpartum, linking prenatal and postnatal patterns of maternal use to use in adolescent offspring. Our findings highlight the risk associated with prenatal exposure, because mothers who used during pregnancy but quit by 6 years postpartum still had offspring who were 3.5 times more likely to smoke than non/infrequent users.Implications: This is the first study to examine trajectories of maternal cigarette use from the prenatal period to 16 years postpartum, and to link prenatal and postnatal patterns of use to use in adolescent offspring. We identified two long-term patterns of maternal cigarette use that were associated with offspring smoking at age 16, including one where offspring were exposed prenatally, but much less likely to be exposed to maternal cigarette use postpartum. Our findings highlight the risk associated with prenatal exposures for cigarette use in offspring, even if mothers quit in the postpartum. [ABSTRACT FROM AUTHOR]

Background: Excessive gestational weight gain (GWG) increases the risk of childhood obesity, but little is known about its association with infant growth patterns. Aim: The aim of this study was to examine the association between GWG and infant growth patterns. Methods: Pregnant women (n = 743) self-reported GWG at delivery, which we classified as inadequate, adequate or excessive based on the current guidelines. Offspring weight-for-age z-score (WAZ), length-for-age z-score (LAZ (with height-for-age (HAZ) in place of length at 36 months)) and body mass index z-score (BMIZ) were calculated at birth, 8, 18 and 36 months using the 2006 World Health Organization growth standards. Linear mixed models estimated the change in z-score from birth to 36 months by GWG. Results: The mean (SD) WAZ was -0.22 (1.20) at birth. Overall, WAZ and BMIZ increased from birth to, approximately, 24 months and decreased from 24 to 36 months, while LAZ/HAZ decreased from birth through 36 months. Excessive GWG was associated with higher offspring WAZ and BMIZ at birth, 8 and 36 months, and higher HAZ at 36 months, compared with adequate GWG. Compared with the same referent, inadequate GWG was associated with smaller WAZ and BMIZ at birth and 8 months. Conclusion: Excessive GWG may predispose infants to obesogenic growth patterns, while inadequate GWG may not have a lasting impact on infant growth. © 2015 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Introduction: Earlier studies have shown a relation between prenatal cigarette smoke exposure (PCSE) and offspring initiation of tobacco use. No prior study has examined the association between PCSE and early initiation of multiple substances (EIMS) including marijuana and alcohol in addition to tobacco. We investigated the association between PCSE and multiple substance use during adolescence. Methods: Pregnant women attending an urban prenatal clinic were selected to participate in the prospective longitudinal study based on their substance use. This study is based on the 16-year follow-up phase and consists of 579 mother–offspring dyads. The women were of lower socioeconomic status, 54% were Black, and 53% reported smoking cigarettes. 52% of the offspring were female. EIMS is a measure of the number of substances initiated prior to age 16 by the adolescents; it ranged from 0 (no initiation, N = 166) to 3 (all, N = 162). Results: Adolescents exposed to tobacco during first trimester of gestation were 1.4 times more likely to initiate multiple substances by age 16 than the nonexposed group. PCSE was a significant predictor of EIMS after controlling for other prenatal exposures, home environment, and demographic characteristics, using ordinal polytomous logistic regression. Other risk factors of EIMS were maternal and adolescent depression, less strict and less involved parenting, offspring attention problems, and lack of participation in a youth club. Conclusions: There is a significant relation between PCSE and adolescent's EIMS. [ABSTRACT FROM PUBLISHER]

Background: Cognitive and behavioral sequelae of prenatal alcohol exposure (PAE) continue to be prevalent in the United States and worldwide. Because these sequelae are also common in other neurodevelopmental disorders, researchers have attempted to identify a distinct neurobehavioral profile to facilitate the differential diagnosis of fetal alcohol spectrum disorders (FASD). We used an innovative, individual participant meta‐analytic technique to combine data from six large U.S. longitudinal cohorts to provide a more comprehensive and reliable characterization of the neurobehavioral deficits seen in FASD than can be obtained from smaller samples. Methods: Meta‐analyses were performed on data from 2236 participants to examine effects of PAE (measured as oz absolute alcohol/day (AA/day)) on IQ, four domains of cognition function (learning and memory, executive function, reading achievement, and math achievement), sustained attention, and behavior problems, after adjusting for potential confounders using propensity scores. Results: The effect sizes for IQ and the four domains of cognitive function were strikingly similar to one another and did not differ at school age, adolescence, or young adulthood. Effect sizes were smaller in the more middle‐class Seattle cohort and larger in the three cohorts that obtained more detailed and comprehensive assessments of AA/day. PAE effect sizes were somewhat weaker for parent‐ and teacher‐reported behavior problems and not significant for sustained attention. In a meta‐analysis of five aspects of executive function, the strongest effect was on set‐shifting. Conclusions: The similarity in the effect sizes for the four domains of cognitive function suggests that PAE affects an underlying component or components of cognition involving learning and memory and executive function that are reflected in IQ and academic achievement scores. The weaker effects in the more middle‐class cohort may reflect a more cognitively stimulating environment, a different maternal drinking pattern (lower alcohol dose/occasion), and/or better maternal prenatal nutrition. These findings identify two domains of cognition—learning/memory and set‐shifting—that are particularly affected by PAE, and one, sustained attention, which is apparently spared. [ABSTRACT FROM AUTHOR]

Objective: With the increasingly permissive legal and social environments regarding marijuana, it is important to understand prenatal marijuana use from the perspective of women who use marijuana. Our objective was to qualitatively describe the marijuana use experiences, beliefs, and attitudes of women who used marijuana during pregnancy.Methods: We conducted semi-structured interviews with pregnant women who had either reported current marijuana use or had urine testing positive for marijuana. Interviews were transcribed verbatim and analyzed for patterns and themes.Results: Twenty-five pregnant women who used marijuana during their pregnancies participated in our study interviews. Main themes that emerged from the interviews were that women: 1) reported higher amounts of marijuana use prior to pregnancy and attempted to reduce their use once they realized they were pregnant; 2) used marijuana to help with nausea and appetite changes during pregnancy or to improve mood; 3) described marijuana as "natural" and "safe" compared to other substances such as alcohol, tobacco, other recreational drugs, and prescribed medications; 4) had conflicting opinions regarding whether marijuana was addictive; and 5) were uncertain but had some concerns regarding potential risks of prenatal marijuana use.Conclusion: Pregnant women who used marijuana in pregnancy held contradictory beliefs about continued use; they reported trying to reduce usage and were worried about potential risks, but also felt that marijuana is more natural and safer than other substances, including prescribed medicines. These findings have implications for how practitioners address prenatal marijuana use and highlight the need for further research on developmental outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Prenatal exposures to tobacco and cannabis are associated with combustible cigarette use. This study evaluated pathways from these prenatal exposures to adult electronic cigarette use. We tested whether there were indirect effects of these prenatal exposures via childhood behavior dysregulation, early tobacco use, and adolescent tobacco dependence.Methods: Telephone interviews were conducted with 427 adult offspring (22-33 years old) from 3 prenatal cohorts with trimester-specific data on exposures to tobacco, alcohol, and cannabis. The offspring were 59% Black and 41% White (61% female). Prenatal exposures included quantity/frequency of tobacco, alcohol, and cannabis use by mothers during the first trimester. Using logistic regression and structural equation modeling, we examined the effects of gestational exposures on adult electronic cigarette use via early cigarette use (prior to age 14), controlling for covariates of combustible and electronic cigarette use.Results: There were no effects of childhood behavioral dysregulation on electronic cigarette use. However, there was a significant indirect effect of prenatal exposures to tobacco and cannabis on electronic cigarette use via early adolescent combustible cigarette use and adolescent risk for tobacco dependence.Conclusions: One implication of these findings is that the inter-generational risk for tobacco use conferred via gestational exposures to tobacco and cannabis generalizes to novel products such as electronic cigarettes. These results have implications for public health, as more women use cannabis and co-use cigarettes and cannabis during pregnancy. [ABSTRACT FROM AUTHOR]

Given prior reports of adverse effects of cannabis use on working memory, an executive function with a protracted developmental course during adolescence, we examined associations between developmental patterns of cannabis use and adult working memory (WM) processes. Seventy-five adults with longitudinal assessments of cannabis use (60 with reported use, 15 with no reported use) and prenatal drug exposure assessment completed a spatial WM task during fMRI at age 28. All subjects passed a multi-drug urine screen on the day of testing and denied recreational drug use in the past week. A fast event-related design with partial trials was used to separate the BOLD response associated with encoding, maintenance, and retrieval periods of the WM task. Behavioral results showed that subjects who began using cannabis earlier in adolescence had longer reaction times (RT) than those with later initiation. Cannabis age of onset was further associated with reduced posterior parietal cortex (PPC) encoding BOLD activation, which significantly mediated age of onset WM RT associations. However, cannabis age of onset brain-behavior associations did not differ between groups with a single reported use and those with repeated use, suggesting age of onset effects may reflect substance use risk characteristics rather than a developmentally-timed cannabis exposure effect. Within repeated cannabis users, greater levels of total cannabis use were associated with performance-related increases in dorsolateral prefrontal cortex (DLPFC) activation during maintenance. This pattern of significant results remained unchanged with inclusion of demographic and prenatal measures as covariates. Surprisingly, however, at the group level, cannabis users generally performed better than participants who reported never using cannabis (faster RT, higher accuracy). We extend previous investigations by identifying that WM associations with cannabis age of onset may be primary to PPC stimulus encoding activity, while the amount of cannabis use is associated with DLPFC maintenance processes. Poorer performance of participants who reported never using cannabis and the consistency of cannabis age of onset associations across single and repeated users limit interpretation of direct developmental effects of cannabis on WM in adulthood. [ABSTRACT FROM AUTHOR]

Background No prospective study of maternal alcohol use has focused on age at transition to motherhood as a predictor of trajectories of risky drinking. The goal of this study was to examine the impact of maternal age at first birth on trajectories of alcohol use beyond recommended levels over a 17-year span. Methods Pregnant women ( N = 456) were recruited at an urban prenatal clinic. The women (13 to 42 years old; 64% African American, 36% White) were interviewed about alcohol use during pregnancy and at 6, 10, 14, and 16 years postpartum. Growth mixture modeling (GMM) was used to identify trajectories of risky drinking. Maternal age at first birth was then regressed onto trajectory class membership. Results The GMM on maternal alcohol use identified 3 groups of mothers as a function of alcohol use before, during, and after the pregnancy. The majority of mothers (66%) were identified as having low-risk trajectories of alcohol use over the 17-year span. However, 2 groups were in the higher-risk categories, with 23% identified as being in a long-term high-risk trajectory, and 11% in a short-term high-risk trajectory group. Maternal age at first birth predicted membership in a high-risk group: Younger mothers were more likely to be classified into a long-term high-risk alcohol use group. Conclusions Younger mothers were more likely to engage in risky drinking early in pregnancy, continuing 6 to 14 years postpartum. These results can help physicians target mothers who are likely to exceed current NIAAA guidelines of abstinence during pregnancy, and no more than 7 drinks per week in the postpartum. [ABSTRACT FROM AUTHOR]

Background: Maternal overweight and obesity affect two-thirds of women of childbearing age and may increase the risk of impaired child cognition.Objective: Our objective was to test the hypothesis that high/low gestational weight gain (GWG) and high/low prepregnancy BMI were associated with offspring intelligence quotient (IQ) and executive function at age 10.Methods: Mother-infant dyads (n = 763) enrolled in a birth cohort study were followed from early pregnancy to 10 y postpartum. IQ was assessed by trained examiners with the use of the Stanford Binet Intelligence Scale-4th edition. Executive function was assessed by the number of perseverative errors on the Wisconsin Card Sorting Test and time to complete Part B on the Trail Making Test. Self-reported total GWG was converted to gestational-age-standardized GWG z score. Multivariable linear regression and negative binomial regression were used to estimate independent and joint effects of GWG and BMI on outcomes while adjusting for covariates.Results: At enrollment, the majority of women in the Maternal Health Practices and Child Development cohort were unmarried and unemployed, and more than one-half reported their race as black. The mean ± SD GWG z score was -0.5 ± 1.8, and 27% of women had a pregravid BMI ≥ 25. The median (IQR) number of perseverative errors was 23 (17, 29), the mean ± SD time on Part B was 103 ± 42.6 s, and 44% of children had a low average IQ (≤ 89). Maternal obesity was associated with 3.2 lower IQ points (95% CI: -5.6, -0.8) and a slower time to complete the executive function scale Part B (adjusted β: 12.7 s; 95% CI: 2.8, 23 s) compared with offspring of normal-weight mothers. Offspring of mothers whose GWG was >+1 SD, compared with -1 to +1 SD, performed 15 s slower on the executive function task (95% CI: 1.8, 28 s). There was no association between GWG z score and offspring composite IQ score (adjusted β: -0.32; 95% CI: -0.72, 0.10). Prepregnancy BMI did not modify these associations.Conclusions: Although GWG may be important for executive function, maternal BMI has a stronger relation than GWG to both offspring intelligence and executive function. Our findings contribute to evidence linking maternal obesity to long-term child outcomes. [ABSTRACT FROM AUTHOR]

Background: Becoming a mother is a developmental transition that has been linked to desistance from substance use. However, timing of motherhood may be a key determinant of cannabis use in women, based on preliminary evidence from teenage mothers. The goal of this study was to identify trajectories of maternal cannabis use, and to determine if maternal age was associated with different trajectories of use.Methods: This prospective study examined 456 pregnant women recruited at a prenatal clinic, ranging in age from 13 to 42 years. The women were interviewed about their cannabis use 1 year prior to pregnancy and during each trimester of pregnancy, and at 6, 10, 14, and 16 years post-partum.Results: A growth mixture model of cannabis use reported at each time point clearly delineated four groups: non/unlikely to use, decreasing likelihood of use, late desistance, and increasing likelihood/chronic use (Lo-Mendell-Rubin adjusted LRT test statistic=35.7, p<.001). The youngest mothers were least likely to be in the "non/unlikely to use" group. Younger maternal age also differentiated between late desistance and increasing likelihood/chronic use, versus decreasing likelihood of use post-partum.Conclusions: This is the first study to demonstrate that younger mothers are more likely to use cannabis across 17 years, including later desistance post-partum and increasing/chronic use. Other substance use and chronic depressive symptoms were also associated with more frequent use. These findings have implications for both prevention and treatment of cannabis use in mothers. [ABSTRACT FROM AUTHOR]

Introduction: The goals of this study were to model maternal patterns of cannabis use from one year pre-pregnancy to 16 years postpartum and to determine if different patterns of maternal cannabis use predicted offspring substance use at age 22.Methods: Women were recruited from a prenatal clinic between 1982 and 1984. Maternal cannabis use was assessed by trained interviewers twice during pregnancy, at delivery, 8 and 18 months, 3, 6, 10, 14, and 16 years postpartum. At age 22, substance use and dependence were measured in offspring. Growth mixture models of maternal cannabis use were calculated and adult offspring substance use outcomes were regressed onto maternal cannabis trajectory classes (n = 551).Results: There were five distinct patterns of maternal cannabis use. Offspring of mothers who were chronic cannabis users were more likely to use cannabis (p < 0.001) and develop CUD (p < 0.05) than offspring whose mothers did not use cannabis. Offspring of chronic cannabis users were also more likely to be nicotine dependent by age 22 than offspring whose mothers did not use cannabis (p < 0.01) and than offspring whose mothers were decreasingly likely to use over time (p < 0.01).Conclusions: Integrated variable- and person-centered analyses revealed long-term and meaningful patterns of cannabis use and desistance. Chronic maternal cannabis use is a risk factor for regular and dependent cannabis use and for dependent tobacco use among young adult offspring. These findings have implications for maternal-child health given the increasing prevalence of cannabis use among women. [ABSTRACT FROM AUTHOR]

The article presents a study on the relationship between prenatal cocaine exposure (PCE) and adolescent drug use. Information is also provided on the impact of PCE on behavior and mood changes in children by the age of 10. Results of interviews with adolescents concerning their use of alcohol, marijuana, and tobacco are also included, citing PCE as well as the influence of factors such as violence, childhood maltreatment, and familial factors as causing such exposure.

The article presents a study which examines the association between prenatal alcohol exposure and the rate of conduct disorder in exposed and unexposed adolescents in Pittsburgh, Pennsylvania. Data from a longitudinal study of prenatal substance exposures were analyzed. Findings of the study revealed that prenatal alcohol use in the first trimester is significantly associated with an increased rate of conduct disorder in the adolescents.

Abstract: This study characterized the extent and patterns of self-reported drug use among aging adults with and without HIV, assessed differences in patterns by HIV status, and examined pattern correlates. Data derived from 6351 HIV-infected and uninfected adults enrolled in an eight-site matched cohort, the Veterans Aging Cohort Study (VACS). Using clinical variables from electronic medical records and socio-demographics, drug use consequences, and frequency of drug use from baseline surveys, we performed latent class analyses (LCA) stratified by HIV status and adjusted for clinical and socio-demographic covariates. Participants were, on average, age 50 (range 22–86), primarily male (95%) and African-American (64%). Five distinct patterns emerged: non-users, past primarily marijuana users, past multidrug users, current high consequence multidrug users, and current low consequence primarily marijuana users. HIV status strongly influenced class membership. Non-users were most prevalent among HIV uninfected (36.4%) and current high consequence multidrug users (25.5%) were most prevalent among HIV-infected. While problems of obesity marked those not currently using drugs, current users experienced higher prevalences of medical or mental health disorders. Multimorbidity was highest among past and current multidrug users. HIV-infected participants were more likely than HIV-uninfected participants to be current low consequence primarily marijuana users. In this sample, active drug use and abuse were common. HIV-infected and uninfected Veterans differed on extent and patterns of drug use and on important characteristics within identified classes. Findings have the potential to inform screening and intervention efforts in aging drug users with and without HIV. [Copyright &y& Elsevier]

Objectives Children born to teenage mothers are at risk for more physical and cognitive problems than those born to adult mothers. Our objective was to examine differences in size and intelligence between two cohorts of offspring born to adolescent ( n = 357) and adult mothers ( n = 668) who attended the same prenatal clinic. Methods Two prospective study cohorts assessed children from gestation through age 6 years. The adult cohort was studied in the mid-1980’s and the teen cohort was evaluated in the mid-1990’s. Both samples were of low socio-economic status. The same study design and measures allowed us to adjust for the covariates of size and IQ. Results Offspring of adolescent mothers had a significantly smaller mean head circumference (5 mm) (HC) and higher body mass index (BMI) than offspring of adult mothers. Offspring of adolescent mothers scored significantly lower than the offspring of adult mothers on the Stanford-Binet (SBIS) composite score (4 points), and the quantitative (6.2 points), verbal reasoning (4.8 points), and short-term memory (3.9 points) area scores. Additional predictors of child IQ were maternal IQ, home environment, race, and number of siblings. When child HC was entered into our final regression model for the SBIS, maternal age and HC significantly predicted the composite score, the verbal reasoning, and short-term memory area scores. A 1 cm decrease in HC predicted a 1 point decrease in the SBIS composite score. Conclusions Compared to offspring of adult women, children of adolescent mothers have lower mean scores on cognitive measures, smaller head circumference, and higher BMI. These differences were significant after adjusting for differences between the two groups. Adolescent mothers and their children would benefit from interventions such as parenting support, education about nutritional needs, and advice on enriching the environments of their children. [ABSTRACT FROM AUTHOR]

The article reports on the study conducted which examines the effect of prenatal exposure to marijuana on the mental development of children. The inquiry was done through interviewing women ranging from light to moderate users of marijuana in their fourth to seventh months of pregnancy, while the intelligence evaluation on their children was done through the use of Stanford-Binet Intelligence Scale. Through the use of multiple regression method, it was found out that there was a relevant nonlinear relationship between exposure to marijuana and the intelligence of children. It was revealed that intense use of marijuana during the second trimester of pregnancy reduces composite, short-term memory and quantitative scores in children.

We prospectively examined the relationship between prenatal tobacco exposure (PTE) and child behavior in a birth cohort of 357 offspring of teenage mothers. PTE was defined as any exposure across pregnancy and, in separate analyses, exposure within each trimester. Outcomes included measures of behavior problems, activity, and attention. On average, the children were 6.4 years of age, 48% were females, and 69% were Black. Data on maternal tobacco and other substance use were collected prenatally and postnatally: 46% of the mothers smoked in the first trimester and 58% smoked 6 years later. Child urinary cotinine measured exposure to environmental tobacco smoke (ETS). Stepwise multiple regressions were run. PTE predicted significantly increased offspring activity; impulsivity; and aggression, externalizing, and total behavior problems in step 1. PTE remained a significant predictor of increased activity when maternal psychological characteristics, home environment, and ETS were added. The results were similar when PTE was examined by trimesters, although later pregnancy tobacco exposure predicted the most behavioral outcomes. In the final model, PTE (all three trimesters) and PTE (second trimester) were significant predictors of increased activity and attention problems, respectively. Other predictors of child behavior included maternal anxiety, depression, hostility, and home environment. ETS was not a significant predictor of child behavior when PTE was considered. Smoking during pregnancy among adolescents is a significant predictor of increased activity and attention problems in their offspring after controlling for covariates in the prenatal and current environments. Smoking cessation interventions are recommended for this population to avoid the effects of PTE on the offspring of pregnant adolescents. This is particularly important because these mothers will likely become pregnant again and many will increase their level of tobacco use as they mature. [ABSTRACT FROM AUTHOR]

Objective: To identify factors that predict or are correlated with symptoms of depression and anxiety in 10-year-olds.Method: Women and their offspring were followed from the fourth prenatal month through 10 years. There were 636 mother-child pairs at 10 years, a follow-up rate of 83% of the birth cohort. Cognitive, psychological, sociodemographic, and environmental factors were measured at each phase. High depression and anxiety were defined as having a number of symptoms >1 SD above the mean for each measure. These measures were combined to represent high depression and/or anxiety (D/A) at 10 years of age.Results: Predictors from the prenatal period of D/A at 10 years were more maternal depression symptoms, African American race, less social support, greater household density, and prenatal marijuana exposure. From 18 months through 6 years, lower child IQ, child injuries at age 3, and attention problems predicted symptoms of D/A at age 10. Across all study phases, lower child IQ, household density during pregnancy, attention problems, early childhood injuries, and prenatal marijuana exposure predicted D/A. Maternal psychological and sociodemographic factors were not significant in the final model.Conclusions: Factors from gestation and early childhood predict high symptom levels of depression and anxiety at age 10. When gestational exposure, early environmental factors, and child characteristics were considered, maternal depression and socioeconomic status were not significantly associated with early onset D/A. Marijuana exposure during gestation marginally predicted depression/anxiety at age 10. [ABSTRACT FROM AUTHOR]

Few studies have considered the etiological role of the fetal environment on the offspring's substance use. This prospective study examines the relations between the mother's prenatal and current smoking and the offspring's smoking experimentation. A low SES birth cohort of 589 10-year-olds, who have been followed since their gestation, completed a self-report questionnaire about their substance use. Half were female, and 52% were African-American. Detailed data on exposure to tobacco and other substances in the prenatal and postnatal periods were collected from the mothers. During pregnancy, 52.6% of the mothers were smokers; 59.7% were smokers when their children were 10. Six per cent of the children (37/589) reported ever smoking cigarettes, 3% had had one full alcoholic drink, and none had started to use other drugs. Maternal smoking during pregnancy was significantly associated with an increased risk of the child's tobacco experimentation. Offspring exposed to more than 1/2 pack per day during gestation had a 5.5-fold increased risk for early experimentation. Structural equation modeling showed that prenatal tobacco exposure had a direct and significant effect on the child's smoking and that maternal current smoking was not significant. Prenatal tobacco exposure also predicted child anxiety/depression and externalizing behaviors, and these outcomes affected child smoking through the mediating effect of peer tobacco use. [ABSTRACT FROM AUTHOR]

Introduction: Daily combustible cigarette use is common among cannabis users, and dual use of cigarettes and cannabis is associated with detrimental outcomes. This study addresses gaps in the literature by examining data from the prenatal and adolescent phases of a prospective, longitudinal study to predict adult daily dual use.Methods: Young adult offspring (M age = 22.8 years, 53% female) from a prenatal cohort reported on combustible cigarette and cannabis use (N = 500, 58% Black, 42% White). Pathways to daily dual use were modeled using variables from the gestational and adolescent phases of the study including prenatal tobacco, alcohol, and cannabis exposures; ages at initiation of cigarettes and cannabis; and adolescent learning/memory, impulsivity, and behavior problems.Results: Prenatal cannabis and tobacco use were not directly linked to adult daily dual use of cannabis and tobacco. However, structural equation modeling revealed three significant indirect pathways from prenatal cigarette and cannabis exposures to adult daily dual use of cigarettes and cannabis via early cigarette initiation, early cannabis initiation, and adolescent behavior problems.Conclusions: This study identified pathways from prenatal cannabis and tobacco exposure to adult daily dual use, in addition to clarifying adolescent outcomes that may be part of the pathways. In a climate of growing acceptance of cannabis use and increasing legalization of recreational use, these findings serve as a warning that early exposure to cannabis may have an important role in shaping long-term dual use of tobacco and cannabis. [ABSTRACT FROM AUTHOR]

More Americans are using marijuana than in previous decades but there are concerns over its long-term impact on cognitive functioning, especially memory. The literature on marijuana use and cognitive functioning is mixed, with some studies showing recovery of functioning upon abstinence from the drug and others showing long-term effects that persist. The latter seems especially true for individuals who initiate marijuana at a younger age and engage in more chronic patterns of use. The goal of the current study is to use prospectively collected data on young adults from a prenatal cohort to determine if there is an effect of early and/or current marijuana use on young adult memory, controlling for prenatal exposure to marijuana use, childhood memory deficits, and other significant covariates of memory functioning. At the 22-year follow-up phase of the Maternal Health Practices and Child Development (MHPCD) study, 524 young adults (58% Black, 42% White, 52% female) completed the Wechsler Memory Scale-III. Multiple regression analyses and structural equation modeling were used to determine the effect of marijuana exposure during gestation, early adolescence, and young adulthood on young adult memory function. Results indicated that initiating marijuana use before age 15 placed young adults at greater risk of memory deficits, even after controlling for childhood memory and current marijuana use. First trimester marijuana exposure also indirectly predicted young adult memory function via childhood memory deficits and early initiation of marijuana. These findings highlight the risk of prenatal marijuana exposure and early initiation of marijuana for long-term memory function in adulthood. • Longitudinal study of the impact of marijuana on adult memory function. • Prenatal, early onset, and young adult marijuana use were examined. • Early onset marijuana use predicted increased memory deficits in young adulthood. • First trimester marijuana exposure indirectly predicted young adult memory. • Prenatal, adolescent, and adult marijuana exposure are each associated with memory. [ABSTRACT FROM AUTHOR]

While benchmark dose (BMD) methodology is well-established for settings with a single exposure, these methods cannot easily handle multidimensional exposures with nonlinear effects. We propose a framework for BMD analysis to characterize the joint effect of a two-dimensional exposure on a continuous outcome using a generalized additive model while adjusting for potential confounders via propensity scores. This leads to a dose-response surface which can be summarized in two dimensions by a contour plot in which combinations of exposures leading to the same expected effect are identified. In our motivating study of prenatal alcohol exposure, cognitive deficits in children are found to be associated with both the frequency of drinking as well as the amount of alcohol consumed on each drinking day during pregnancy. The general methodological framework is useful for a broad range of settings, including combinations of environmental stressors, such as chemical mixtures, and in explorations of the impact of dose rate rather than simply cumulative exposure on adverse outcomes., (© 2024 The Authors. Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis.)

Background: Retrospective neuroimaging studies have suggested an association between early cannabis onset and later neurocognitive impairment. However, these studies have been limited in their ability to distinguish substance use risk factors from cannabis-induced effects on neurocognition. We used a prospective cohort design to test whether neurocognitive differences preceded cannabis onset (substance use risk model) and if early cannabis use was associated with poorer neurocognitive development (cannabis exposure model)., Methods: Participants (N = 85) completed a visuospatial working memory task during functional magnetic resonance imaging and multiple cognitive assessments (Wechsler Intelligence Scale for Children-IV, Cambridge Neuropsychological Test Automated Battery) at 12 years of age, before any reported cannabis use (baseline), and at 15 years of age (follow-up: N = 85 cognitive assessments, n = 67 neuroimaging). By follow-up, 22 participants reported using cannabis and/or failed a Δ 9 -tetrahydrocannabinol urine screen (users)., Results: At baseline, group differences supported a risk model. Those who would initiate cannabis use by 15 years of age had activation differences in frontoparietal (increased) and visual association (decreased) regions and poorer executive planning scores (Stockings of Cambridge) compared with noninitiators. Limited support was found for a cannabis exposure model. At follow-up, activation in the cuneus displayed a significant cannabis dose-response relationship, although neither cannabis dose nor cuneus activation was associated with cognitive performance., Conclusions: The purported neurocognitive effects of early cannabis onset may not be due to cannabis initiation alone but also driven by limitations or late development of neurocognitive systems predictive of substance use. In addition, more prolonged cannabis exposure may be required to observe the cognitive effects of early cannabis onset., (Copyright © 2018 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

Purpose A longitudinal cohort of adolescents who initiated drinking before age 15 were studied to determine which factors distinguished between early initiators who continued to drink (persisters) from those who stopped drinking (desisters). There were 308 early initiators in the total sample (n = 917); 247 were persisters, and 61 were desisters. Method A stepwise discriminant analysis identified differences between the two groups. Considered risk/protective factors were parenting practices, peer drinking, child and maternal depression, child behavior, prenatal alcohol exposure, home environment, and demographic factors. Results Desistence was significantly related to African American race and more parental strictness. Exposure to ≥1 drink/day during pregnancy and high levels of autonomy from parents were significant predictors of persistent drinking. Conclusions Early initiation places adolescents at risk for continued and heavier drinking. Identifying characteristics of those who start early but do or do not continue drinking can inform education programs to better target the most appropriate adolescents., (© 2015 Society for Public Health Education.)

Background: Recent data suggest that children of mothers who are obese before pregnancy, or who gain too much weight during pregnancy, may be at an increased risk of cognitive impairments., Methods: Mother-infant dyads enrolled in a birth cohort study in Pittsburgh, Pennsylvania (1983-1986), were followed from early pregnancy to 14 years postpartum (n=574). Math, reading and spelling achievements were assessed at ages 6 and 10 years using the Wide Range Achievement Test-Revised, and at age 14 years using the Wechsler Individual Achievement Test Screener. Self-reported total GWG was converted to gestational age-standardised z-scores. Generalised estimating equations were used to estimate the effects of GWG and pre-pregnancy body mass index (BMI) on academic achievement at 6, 10 and 14 years, while adjusting for maternal race, child sex, parity, employment, family income, maternal intelligence, maternal depression, pre-pregnancy BMI (in GWG models only) and the home environment., Results: The mean (SD) BMI was 23.4 (5.7) kg/m(2) and the mean (SD) GWG reported at delivery was 14.4 (5.9) kg. There was a significant non-linear association between pre-pregnancy BMI and an offspring's academic achievement. At 6, 10 and 14 years, an offspring's academic scores were inversely associated with pre-pregnancy BMI beyond 22 kg/m(2). High GWG (>1 SD) was associated with approximately 4-point lower reading (adjusted β (adjβ) -3.75, 95% CI -7.1 to -0.4) and spelling scores (adjβ -3.90, 95% CI -7.8 to -0.2), compared with GWG -1 to +1 SD., Conclusions: Future studies in larger and socioeconomically diverse populations are needed to confirm maternal weight and weight gain as causal determinants of a child's academic skills, and whether this effect persists into adulthood., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

To test the feasibility of conducting a pragmatic randomized controlled trial (RCT) comparing the International Association of Diabetes in Pregnancy Study Groups (IADPSG) versus Carpenter-Coustan diagnostic criteria for gestational diabetes (GDM), and to examine patient and provider views on GDM screening. A single-blinded pragmatic pilot RCT. Participants with a singleton pregnancy between 24 and 28 weeks gestation received a 50 g oral glucose challenge test and if the value was <200 mg/dL were randomized to either the 2 h 75 g OGTT using the IADPSG criteria or the 3 h 100 g OGTT using the Carpenter-Coustan criteria. Primary outcome was the feasibility of randomization and screening. Secondary outcomes included patient and provider views (or preferences) on GDM testing. Sixty-eight women were recruited, 48 (71 %) enrolled and 47 (69 %) were randomized. Participants in both study arms identified the main challenges to GDM testing to be: drinking the glucola, fasting prior to testing, waiting to have blood drawn, and multiple venipuntures. Women in both study arms would prefer the 2 h 75 g OGTT or whichever test is recommended by their doctor in a future pregnancy. Physicians and nurse midwives endorsed screening and were comfortable with being blinded to the GDM testing strategy and results values. Both pregnant women and providers value GDM screening, and pregnant women can be recruited to a blinded, randomized GDM screening trial with minimal attrition and missing data.

Aims: The aim of this study is to assess the effect of brief motivational enhancement intervention postpartum alcohol use., Design: This study is a single-blinded, randomized controlled effectiveness trial in which pregnant women were assigned to receive usual care or up to 5 face-to-face brief motivational enhancement sessions lasting 10-30 minutes each and occurring at study enrollment, 4 and 8 weeks after enrollment, 32 weeks of gestation, and 6 weeks postpartum., Setting: The setting is in a large, urban, obstetrics clinic., Participants: Participants were women who were ≥ 18 years old, <20 weeks of gestation, and consumed alcohol during pregnancy. Of 3438 women screened, 330 eligible women were assigned to usual care (n = 165) or intervention (n=165). Due to missing data, we analyzed 125 in the intervention group and 126 in the usual care group., Measurements: The measurements were the proportion of women with any alcohol use and the number of drinks per day, reported via follow-up telephone interviews at 4 and 8 weeks after enrollment, 32 weeks of gestation, and 6 weeks, 6 months, and 12 months postpartum., Findings: In random effects models adjusted for confounders, the intervention group was less likely to use any alcohol (odds ratio 0.50; 95% confidence interval [CI], 0.23-1.09; P=0.08) and consumed fewer drinks per day (coefficient -0.11; 95% CI -0.23-0.01; P=0.07) than, the usual care group in the postpartum period but these differences were non-significant. Missing data during the prenatal period prevented us from modeling prenatal alcohol use., Conclusions: Brief motivational enhancement intervention delivered in an obstetrical outpatient setting did not conclusively decrease alcohol use during the postpartum period., (© 2014.)

Objectives: Longitudinal studies of maternal depression in the postpartum period have demonstrated that a chronic state of depressive symptoms is not rare. In spite of this, however, the characteristics of chronically depressed mothers have rarely been studied. This study examines the demographic and socioenvironmental characteristics across time of childrearing women with chronic depressive symptoms., Methods: A cohort of 476 childrearing lower-income mothers was interviewed from the first trimester of pregnancy through the tenth year postpartum. The Center for Epidemiologic Studies-Depression Scale (CES-D; Radloff, L. (1977) Appl Psychol Meas 1:385-401) was used to define depressive symptomatology. Four groups were defined based on the CES-D scores at 18 months, 3, 6 and 10 years: never-depressed (CES-D < 16), depressed only at one phase (CES-D > or = 16), chronically mildly depressed (CES-D > 16 and < or =24 at three or more phases), and chronically severely depressed (CES-D > or = 25 at three or more times). Demographic and socioenvironmental characteristics of the groups were evaluated across time., Results: Chronically depressed women compared to never-depressed women were less likely to be married, had less education, had lower family income, and were more likely to use substances. They reported more frequent arguments with close family members or friends, separation/divorce with partners, financial problems, less social support, and more financial strain., Conclusions: Women who continue to be depressed across the 10 postpartum years have less optimal outcomes compared to women who are not depressed and those who are only intermittently depressed. Pregnancy and delivery and subsequent pediatric visits are important times to identify women who are depressed.