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Pregnancy is associated with elevated risk for poor sleep quality, which increases the risk for poor obstetrical outcomes and parent mental health problems. The COVID-19 pandemic has seen increased reports of disturbed sleep worldwide; however, the degree this extends to pregnancy or influences pregnancy mental health outcomes has not been examined. The goal of this study was to examine changes in pregnant individuals' sleep, anxiety, and depression during the pandemic, and to understand how sleep was associated with symptoms of anxiety and depression over time.The Pregnancy During the COVID-19 Pandemic (PdP) study is a prospective longitudinal cohort of pregnant individuals (at enrollment) with repeated follow-ups during pregnancy and the postpartum period. About 3747 pregnant individuals participated between April and July 2020. The present analysis was restricted to participants who completed at least 2 assessments, yielding a final sample of 1842 pregnant individuals.Depression symptoms were elevated at baseline, compared to prepandemic estimates of prevalence, but declined gradually over time. Shorter sleep duration, higher sleep disturbance, and more sleep-related impairments at baseline predicted a slower decline in depression symptoms over time. More sleep disturbances at baseline also predicted slower decline in anxiety symptoms over time. In contrast, rates of depression and anxiety symptoms at baseline were not predictive of changes in any of the 3 sleep variables over time.These findings highlight the importance of early intervention for sleep problems in pregnancy, in order to optimize mental health throughout pregnancy and mitigate long-term negative outcomes.

Introduction: Social capital is important for good mental health and the quality of close relationships is one key indicator of social capital. Examining the association between relationship quality and mental health may be particularly important during pregnancy as mental health concerns during this period pose significant risk to families. The COVID-19 pandemic has contributed to increased mental health problems among pregnant individuals. The resulting lockdown protocols of the pandemic have also disrupted larger social networks and couples spent more time together in the context of ongoing chronic stress, highlighting the particular importance of romantic relationship quality. This study explored longitudinal associations between relationship satisfaction, depression, and anxiety among pregnant individuals during the first wave of the COVID-19 pandemic. Methods: Pregnant individuals (n = 1842) from the Pregnancy During the Pandemic Study were surveyed monthly (April-July 2020). Depression, anxiety symptoms, and relationship satisfaction were self-reported. Cross-lagged panel models were conducted to examine bidirectional associations between relationship satisfaction and mental health symptoms over time. Results: Relationship satisfaction was significantly correlated with depression and anxiety at all time points. Longitudinally, relationship satisfaction predicted later depression and anxiety symptoms, but depression and anxiety symptoms did not predict later relationship satisfaction. Discussion: This study suggests that poor relationship satisfaction was linked to subsequent elevations in prenatal depressive and anxiety symptoms during the COVID-19 pandemic. Relationship enhancement interventions during pregnancy may be a means of improving the mental health of pregnant individuals, and interrupting transgenerational transmission, during times of prolonged psychological distress.

People who have a uterus but are not cisgender women may carry pregnancies. Unfortunately, to date, academic language surrounding pregnancy remains largely (cis) woman-centric. The exclusion of gender-diverse people in the language of pregnancy research in English is pervasive. In reviewing a random sample of 500 recent articles on pregnancy or pregnant populations across health research fields, we found that only 1.2% of articles used gender-inclusive language (none of them in epidemiology), while the remaining 98.8% used (cis) woman-centric language. First and foremost, recent recommendations highlight the need to include trans, non-binary and gender-diverse people in study design. Meanwhile, there remains a lack of awareness that all research on pregnancy can contribute to inclusiveness, including in dissemination and retroactive description. We explain how the ubiquitous use of (cis) woman-centric language in pregnancy-related research contributes to (1) the erasure of gender diversity; (2) inaccurate scientific communication and (3) negative societal impacts, such as perpetuating the use of exclusionary language by students, practitioners, clinicians, policy-makers and the media. We follow with recommendations for gender-inclusive language in every section (ie, introductions, methods, results, discussions) of epidemiological articles on pregnant populations. The erasure of gender-diverse people in the rhetoric of research about pregnant people can be addressed immediately, including in the dissemination of results from ongoing studies that did not take gender diversity into consideration. This makes gender-inclusive language a crucial first step towards the inclusion of gender-diverse people in epidemiological research on pregnant people and other health research more globally.

There is increased interest in inclusion, diversity and representativeness in epidemiological and community health research. Despite this progress, misunderstanding and conflation of sex and gender have precluded both the accurate description of sex and gender as sample demographics and their inclusion in scientific enquiry aiming to distinguish health disparities due to biological systems, gendered experiences or their social and environmental interactions. The present glossary aims to define and improve understanding of current sex-related and gender-related terminology as an important step to gender-inclusive epidemiological research. Effectively, a proper understanding of sex, gender and their subtleties as well as acknowledgement and inclusion of diverse gender identities and modalities can make epidemiology not only more equitable, but also more scientifically accurate and representative. In turn, this can improve public health efforts aimed at promoting the well-being of all communities and reducing health inequities.

Objective: Our primary objective was to determine whether pre-existing vulnerabilities and pandemic-related hardship resulted in cumulative (i.e., additive) versus compounding (i.e., multiplicative) effects on psychological distress in pregnant individuals during the COVID-19 pandemic. A secondary objective was to determine whether perceived social support and/or receipt of government financial aid buffered the effects of pandemic-related hardship on psychological distress.Method: Data are from a prospective pregnancy cohort study, the Pregnancy During the COVID-19 Pandemic study (PdP). This cross-sectional report is based upon the initial survey collected at recruitment between April 5, 2020 and April 30, 2021. Logistic regression was used to evaluate our objectives.Results: The data provide substantial evidence supporting a cumulative (additive) relationship between pandemic-related hardship and pre-existing vulnerabilities in relation to psychological distress. There was no evidence to support compounding (multiplicative) effects. Likewise, the buffering effect of social support was additive but not multiplicative. Government financial aid did not buffer the effects of objective hardship on psychological distress. Conclusion: Pre-pandemic vulnerability and pandemic-related hardship had cumulative effects on psychological distress during the COVID-19 pandemic. Adequate and equitable responses to pandemics and disasters may require more intensive supports for those with multiple vulnerabilities.

Background: Drastic increases in the rates of maternal depression and anxiety have been reported since the COVID-19 pandemic began. Most programs aim to improve maternal mental health or parenting skills separately, despite it being more effective to target both concurrently. The Building Emotional Awareness and Mental health (BEAM) program was developed to address this gap. BEAM is a mobile health program aiming to mitigate the impacts of pandemic stress on family well-being. Since many family agencies lack infrastructure and personnel to adequately treat maternal mental health concerns, a partnership will occur with Family Dynamics (a local family agency) to address this unmet need. This study aims to examine (1) the influence of BEAM, vs. standard of care, at reducing negative mental health, parenting, and child outcomes and (2) the engagement, feasibility, and acceptability of BEAM, vs. standard of care, while exploring opportunities for program development. Methods: A randomized controlled trial will compare 10 weeks of the BEAM program to standard of care among 160 (80 per group) mothers who have depression and/or anxiety and children 6-18 months old living in Manitoba, Canada. Primary (maternal depression [Patient Health Questionnaire-9] and/or anxiety [Generalized Anxiety Disorder-7]), secondary (other maternal mental health, parenting, and child outcomes), and exploratory (e.g., relationship functioning) outcomes will be self-reported at three time-points. Google Analytics and back-end App data will be used to assess the engagement, feasibility, and acceptability of the BEAM program. A longitudinal analysis of covariance, using linear mixed modeling, will test treatment effects on outcomes of interest. Discussion: In partnership with a local family agency, BEAM holds the potential to promote maternal-child health via a cost-effective and easily accessible program designed to scale. Results may inform care and increase access to first line care for families typically waiting 12+ months to access mental health and parenting services. Trial Registration: This trial was retrospectively registered with ClinicalTrial.gov (NCT05398107) on May 31st, 2022. https://clinicaltrials.gov/ct2/show/NCT05398107

Parceling is pre-modeling strategy to create fewer and more reliable indicators of constructs for use with latent variable models. Parceling is particularly useful for developmental scientists because longitudinal models can become quite complex and even intractable when measurement models of items are fit. In this Element the authors provide a detailed account of the advantages of using parcels, their potential pitfalls, as well as the techniques for creating them for conducting latent variable structural equation modeling (SEM) in the context of the developmental sciences. They finish with a review of the recent use of parcels in developmental journals. Although they focus on developmental applications of parceling, parceling is also highly applicable to any discipline that uses latent variable SEM.

BACKGROUND Social support and connection with other parents are important factors associated with parental mental health and parenting practices. These social connections can be integrated in parental eHealth programs through forums or group therapy sessions, but parental needs and preferences regarding these eHealth features are unknown. OBJECTIVE This study aims to examine parents’ preferences for connecting with other parents in eHealth programs. METHODS In total, 162 parents of 0-5–year-old children in the United States were recruited through Amazon Mechanical Turk (MTurk; mean age 32.7, range 22-61 years; 80.2% White; 59.9% men, 39.5% women, and 0.6% nonbinary; 93.8% biological parents). Participants filled out a one-time survey. Best practice recommendations for using MTurk were employed (through captcha verification and attention checks). Descriptive statistics were run in SPSS (version 27; IBM Corp) on MacOS. RESULTS Parents were asked to rate how likely they would be to use a digital program with weekly opportunities to connect with other parents in the program (1=very unlikely to 5=very likely). Overall, 13.4% of parents indicated that they would be (very) unlikely to use a program with that feature and 59.8% of them indicated that they would be (very) likely to use it, with the remaining 27.8% of them being neutral. On being asked specifically about their preference, 85% of parents indicated that they would prefer connecting with other parents in the program, with 70% of those preferring to connect anonymously. On a forum, 67% of parents indicated that they would be comfortable connecting with all parents (as opposed to mothers or fathers only); regarding videoconferencing, that number was 61%. CONCLUSIONS Considering that studies have shown the positive impact of social support for parental mental health and parenting practices, integrating anonymous connection with other parents should be considered in developing parental eHealth programs and would be in line with the preferences of most parents.

This is the peer reviewed version of the article, which has been published in final form at the above citation. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

Background: The prevalence of maternal depression and anxiety has increased during the COVID-19 pandemic and pregnant individuals are experiencing concerningly elevated levels of mental health symptoms worldwide. Many individuals may now be at heightened risk of postpartum mental health disorders. There are significant concerns that a cohort of children may be at-risk for impaired self-regulation and mental illness due to elevated exposure to perinatal mental illness. With both an increased prevalence of depression and limited availability of services due to the pandemic, there is an urgent need for accessible eHealth interventions for mothers of young children. The aims of this trial are to evaluate the efficacy of the Building Emotion Awareness and Mental Health (BEAM) app-based program for reducing maternal depression symptoms (primary outcome) and improving anxiety symptoms, parenting stress, family relationships, and mother and child functioning (secondary outcomes) compared to treatment as usual (TAU). Methods: A two-arm randomized controlled trial (RCT) with repeated measures will be used to evaluate the efficacy of the BEAM intervention compared to TAU among a sample of 140 mothers with children aged 18 to 36 months, who self-report moderate-to-severe symptoms of depression and/or anxiety. Individuals will be recruited online and those randomized to the treatment group will participate in 10 weeks of psychoeducation modules, an online social support forum, and weekly group teletherapy sessions. Assessments will occur at 18-36 months postpartum (pre-test, T1), immediately after the last week of the BEAM intervention (post-test, T2), and at 3 months after the intervention (follow-up, T3). Discussion: eHealth interventions have the potential to address elevated maternal mental health symptoms, parenting stress, and child functioning concerns during and after the COVID-19 pandemic and to provide accessible programming to mothers who are in need of support. This RCT will build on an open pilot trial of the BEAM program and provide further evaluation of this evidence-based intervention. Findings will increase our understanding of depression in mothers with young children and reveal the potential for long-term improvements in maternal and child health and family well-being.

Missing data are ubiquitous in studies examining preventive interventions. This missing data need to be handled appropriately for data analyses to yield unbiased results. After a brief discussion of missing data mechanisms, inappropriate missing data treatments and appropriate missing data treatments, we review the current state of missing data treatments in intervention studies as well as how they have evolved over the years. Although missing data treatments have improved over the years, antiquated missing data treatments associated with biased results are still prevalent. Furthermore, many studies do not appropriately report their rates of missing data and missing data treatments. Using appropriate missing data treatments is elemental to accurately identify effective preventive interventions and properly inform practice and policy.

The prevalence of mental health problems represents a significant burden on school and community health resources as early as preschool. Reducing this burden requires a better understanding of the developmental mechanisms linking children’s early vulnerabilities with mental health after the transition to formal schooling. The 3D-Transition Study (2017–2021) follows 939 participants from a pregnancy cohort in the province of Québec, Canada, as they transition to kindergarten and first grade to examine these mechanisms. Biannual assessments include completed questionnaires from 2 parents as well as teachers, parent-child observations, anthropometric measurements, and age-sensitive cognitive assessments. Saliva is also collected on 11 days over a 16-month period in a subsample of 384 participants to examine possible changes in child salivary cortisol levels across the school transition and their role in difficulties observed during the transition. A combination of planned missing-data designs is being implemented to reduce participant burden, where incomplete data are collected without introducing bias after the use of multiple imputation. The 3D-Transition Study will contribute to an evidence-based developmental framework of child mental health from pregnancy to school age. In turn, this framework can help inform prevention programs delivered in health-care settings during pregnancy and in child-care centers, preschools, and schools.

This article reviews the literature on the association between cannabis use (CU) and psychosocial functioning, operationalized here as academic achievement, economic prospects, social relationships and quality of life. So far, study results have been inconsistent. To clarify whether CU has an impact on psychosocial functioning, this article mainly reviewed prospective and longitudinal studies published since 2000 and examined whether studies controlled for confounding factors (e.g. socio-demographics, other substance use, psychopathology, social environment). The review suggested that when confounding variables are controlled for, the association between CU and psychosocial outcomes is generally small or non-significant. When significant associations remain, they are for chronic, dependent or early onset CU specifically, suggesting that the frequency of use and age of onset may be necessary elements to detect persistent, however small, psychosocial consequences. These results illustrate the importance of controlling for intra- and inter-individual differences to examine the link between CU and later psychosocial functioning. Results also suggest that policy and prevention efforts should consider targeting the individual and environmental factors (e.g. early academic and cognitive functioning, social disadvantage, family functioning, personality, smoking) that account for much of the association between CU and later psychosocial problems, rather than, or in addition to, CU itself.

Cannabis use is linked to symptoms of depression and anxiety, particularly among sexual minorities. This study examines the relationships between cannabis, and depression and anxiety symptoms at 13, 15, and 17 years using cross-lagged models in a predominantly White (n = 1,430; 92%) subsample of 1,548 participants from the Quebec Longitudinal study of Child Development. Multigroup analyses were conducted to examine the models according to sexual orientation. Demographic covariates were included as control variables, as well as alcohol, cigarette, and other drug use to examine cannabis specificity. The full sample revealed small bidirectional associations, which remained significant once control variables were included in the model: cannabis at 13 and 15 years predicted anxiety symptoms at 15 and 17 years respectively, and depression symptoms at 15 years predicted cannabis at 17 years. The initial association between cannabis at 13 years and depression symptoms at 15 years was accounted for by other drug use at 13 years. Substantial differences were found between heterosexual participants and sexual minorities: LGB participants presented a substantially larger positive association between depression symptoms at 15 years and cannabis at 17 years, as well as a negative association between anxiety symptoms at 15 years and cannabis at 17 years. Both of these relationships remained significant when accounting for control variables. These results suggest that the relationships between cannabis, and depression and anxiety symptoms are bidirectional across adolescence, albeit small. Sexual minorities present particularly large associations that may represent self-medication efforts for depressive symptoms between 15 and 17 years. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Background Social support and connection with other parents are important factors associated with parental mental health and parenting practices. These social connections can be integrated in parental eHealth programs through forums or group therapy sessions, but parental needs and preferences regarding these eHealth features are unknown. Objective This study aims to examine parents’ preferences for connecting with other parents in eHealth programs. Methods In total, 162 parents of 0-5–year-old children in the United States were recruited through Amazon Mechanical Turk (MTurk; mean age 32.7, range 22-61 years; 80.2% White; 59.9% men, 39.5% women, and 0.6% nonbinary; 93.8% biological parents). Participants filled out a one-time survey. Best practice recommendations for using MTurk were employed (through captcha verification and attention checks). Descriptive statistics were run in SPSS (version 27; IBM Corp) on MacOS. Results Parents were asked to rate how likely they would be to use a digital program with weekly opportunities to connect with other parents in the program (1=very unlikely to 5=very likely). Overall, 13.4% of parents indicated that they would be (very) unlikely to use a program with that feature and 59.8% of them indicated that they would be (very) likely to use it, with the remaining 27.8% of them being neutral. On being asked specifically about their preference, 85% of parents indicated that they would prefer connecting with other parents in the program, with 70% of those preferring to connect anonymously. On a forum, 67% of parents indicated that they would be comfortable connecting with all parents (as opposed to mothers or fathers only); regarding videoconferencing, that number was 61%. Conclusions Considering that studies have shown the positive impact of social support for parental mental health and parenting practices, integrating anonymous connection with other parents should be considered in developing parental eHealth programs and would be in line with the preferences of most parents. Conflicts of Interest None declared.

Taking advantage of the ability of modern missing data treatments in epidemiological research (e.g. multiple imputation) to recover power while avoiding bias in the presence of data that is missing completely at random, planned missing data designs allow researchers to deliberately incorporate missing data into a research design. A planned missing data design may be done by randomly assigning participants to have missing items in a questionnaire (multiform design) or missing occasions of measurement in a longitudinal study (wave-missing design), or by administering an expensive gold-standard measure to a random subset of participants while the whole sample is administered a cheaper measure (two-method design). Although not common in epidemiology, these designs have been recommended for decades by methodologists for their benefits—notably that data collection costs are minimized and participant burden is reduced, which can increase validity. This paper describes the multiform, wave-missing and two-method designs, including their benefits, their impact on bias and power, and other factors that must be taken into consideration when implementing them in an epidemiological study design.

Item parcels are aggregates of two or more items that are used as indicators when estimating latent constructs. In this chapter, we provide an overview of the psychometric and model estimation benefits of parceling, and discuss how parcels can be particularly beneficial for small sample research. These benefits can only result from thoughtful construction of the parcels. Accordingly, methods for building parcels and handling missing data when using parcels are also reviewed.

Objective: The present study examined (1) whether the associations between cannabis use (CU) age of onset and drug abuse by 28 years remain when controlling for risk factors in childhood, adolescence and early adulthood; and (2) developmental pathways from early risk factors to drug abuse problems. Method: Participants from a longitudinal sample of low SES boys (N=1030) were followed from 6 to 28 years. Self-reported CU onset between 13 and 17 years of age and drug abuse symptoms by 28 years were examined. Results: The odds of developing any drug abuse symptoms by 28 years were reduced by 31% for each year of delayed CU onset (OR = 0.69). Cannabis, alcohol and other drug frequency at 17 years mediated this association. Still, even when taking that frequency of use into account, adolescents who started using cannabis before 15 years were at higher risk of developing drug abuse symptoms by age 28. Significant indirect effects were found from early adolescent delinquency and affiliation with deviant friends to drug abuse symptoms at 28 years through CU age of onset and substance use frequency at 17 years. Conclusions: Results suggest more clearly than before that prevention programs should aim at delaying CU onset in order to prevent or reduce drug abuse in adulthood. Furthermore, prevention programs targeting delinquency and/or affiliation with deviant friends in childhood or early adolescence could indirectly reduce substance abuse in adulthood without addressing substance use specifically.

Substance use during pregnancy is associated with adverse pregnancy and neonatal outcomes; eHealth interventions offer a potential accessible treatment option. The objective of this systematic review and meta-analysis was to evaluate the effectiveness of eHealth interventions for the treatment of substance use during pregnancy. A comprehensive search of PsycINFO, Medline, CINAHL, Cochrane and Embase databases was conducted from May 2020 to April 2021. The protocol for this study was registered with Prospero (CRD42020205186) through the University of York Centre for Reviews and Dissemination. Two independent reviewers completed screening, data extraction, and quality assessment. RCTs were included if they reported: (a) administration of an eHealth intervention for (b) substance use outcomes, among (c) pregnant individuals. Comprehensive Meta-Analysis Software (CMA) was used to calculate pooled effect sizes (Odds Ratio) to determine the effect of eHealth interventions on substance use outcomes. Six studies were identified with substance use outcomes that included: smoking (n = 3), alcohol (n = 2), and other (n = 1). eHealth interventions were delivered through the internet (n = 1), computer (n = 3), telephone (n = 1), and text (n = 1). Results suggested that eHealth interventions significantly reduced substance use in pregnant individuals compared to controls (OR = 1.33, 95% CI = 1.06 to 1.65, p = 0.013). eHealth interventions offer a promising and accessible treatment option to reduce substance use during pregnancy. This work was supported by the generous donors of the Alberta Children’s Hospital Foundation, the Canadian Child Health Clinician Scientist Program (CCHCSP), the Canadian Institute of Health Research and the Fonds de Recherche du Québec—Santé.

BackgroundReviews and meta-analyses suggest that substance use and suicidality (i.e., suicidal ideations and attempts) are associated in youth, but the direction of this association remains unclear. Theoretically, the secondary psychiatric disorder hypothesis (SPDH) posits that substance use leads to suicidality, while the secondary substance use disorder hypothesis (SSUDH) posits that suicidality leads to substance use. To clarify these associations, this meta-analysis systematically reviewed studies that examined the prospective associations between SUDs and suicidality in youth (age 25 and younger) and compared results according to the direction of the association.MethodsWeb of Science, Embase, PsycINFO, PubMed, Medline and ProQuest Dissertations & Theses Global were searched from inception to March 8, 2020, and 55 effect sizes from 23 samples were included and analyzed using a three-level meta-analysis.ResultsSUDs significantly predicted subsequent suicidality (OR = 2.16, 95%CI 1.57–2.97), suicidality significantly predicted subsequent SUDs (OR = 2.16, 95%CI 1.53–3.04), and these effect sizes did not differ (p = 0.49).ConclusionsConsidering that 65% of reviewed studies only examined the SPDH, this review highlights that more attention should be given to the SSUDH, and that studies should examine bidirectional associations between SUDs and suicidality across time. Clinically, because SUDs and suicidality were found to influence each other, results suggest that mental health and SUDs should ideally be detected and treated early, and that co-occurring disorders should be assessed and treated concomitantly.

We provide an overview of the topics covered in the special section of the International Journal of Behavioral Development devoted to the topic “Developmental approaches to prevention science.” The use of carefully chosen, rigorous research methods is paramount to obtain accurate, reliable results to inform policy and practice. This special issue contributes to the development of cutting-edge methods and provides guidance to prevention researchers looking to implement the best methods.

This study examined whether the interaction between parenting and inhibitory control predicts hyperactivity-impulsivity and inattention in 195 children. Observation data of positive parenting were collected at 4 years, and mother reports of coercive parenting at 5 years, inhibitory control at 6 years, and hyperactivity-impulsivity/inattention at 7 years were obtained. The common and unique variance of hyperactivity-impulsivity and inattention symptoms were examined as outcomes using a bifactor model. Results indicated that positive parenting practices predicted lower levels of hyperactivity-impulsivity/inattention behaviors at age 7 only when children's inhibitory control was high. These results support the vantage sensitivity model, which posits that some individuals show an increased sensitivity to positive experiences exclusively, and support the appropriateness of a targeted prevention approach in early childhood.

Both individual and environmental factors predict externalizing behaviors and substance use (EB-SU); however, different patterns of interaction among these factors may have different implications. This review first examines how temperament and the family environment interact in the prediction of adolescent EB-SU. Second, studies are reviewed according to two theoretical models: (1) diathesis–stress, i.e., certain individual characteristics are linked to vulnerability and later problems in adverse environments; (2) differential susceptibility, i.e., these characteristics are linked to susceptibility, predicting problems in adverse environments, but also better than average outcomes in good environments. Fourteen studies focusing on the prediction of EB-SU at ages 12–18 were selected through a literature search. Results showed that certain temperament traits (high levels of impulsivity and disinhibition; low levels of effortful control, negative affect, fearfulness and shyness), hereby designated as “adventurous” disposition, were associated with higher levels of EB-SU in adverse family environments. Some studies also showed that children with “adventurous” temperament traits in positive environments had the lowest levels of EB-SU. This suggests that prevention of EB-SU might target family factors such as parenting and focus on children with “adventurous” temperament traits. Further, studies that supported the differential susceptibility model were those assessing temperament and the family environment in childhood and studies that supported the diathesis–stress model assessed these variables in adolescence. It is thus possible that some of these “adventurous” temperament traits, with regard to EB-SU, would be indicators of susceptibility to both enriched and adverse environments in childhood but no longer in adolescence, when they would only be indicators of vulnerability to adverse environments.

Evolutionary models of psychopathology can shed light on gene-environment interactions. Differential susceptibility to the environment means that heritable traits can have positive or negative effects, depending on environmental context. Thus, traits that increase risk for mental disorders when the environment is negative can be adaptive when the environment is positive. This model can be applied to borderline personality disorder, with predictors such as emotional dysregulation and impulsivity seen as temperamental variations leading to negative effects in an unfavorable environment but to positive effects in a favorable environment. This model may also be useful in conceptualizing the mechanisms of effective therapy for borderline personality disorder.

Backgrounds and aims Despite the link between stress and addictive behavior in adulthood, little is known about how early life stress in families predicts the early emergence of substance use in adolescence. This study tested a developmental cascade model, proposing that early stressful life events and negative parent–child interaction covary, and both disrupt the refinement of inhibitory control, which evolves into problem behavior in middle/late childhood and subsequent substance use exploration in early adolescence. Methods Data came from the Early Steps Multisite study, a community sample of at‐risk families in the metropolitan US areas of Pittsburgh (Pennsylvania), Eugene (Oregon) and Charlottesville (Virginia) with children aged 2 years at the start of the study and 14 years at the last measurement (n = 364). Structural equation modeling was used to test the proposed model. Results Early stressful life events and negative parent–child interaction assessed at ages 2–5 were negatively related to inhibitory control at ages 7 and 8. Low levels of inhibitory control were prognostic of childhood problem behavior at ages 9 and 10. Finally, late childhood problem behavior was associated with substance use at age 14. Parental drug use was directly related to substance use at age 14. Conclusions Early life stress may disrupt child inhibitory control, which can cascade into behavioral and peer problem behavior in childhood and, in turn, heighten the risk for early adolescent substance use.

This study examined whether interactions of parental knowledge of adolescent's whereabouts with impulsivity and sensation seeking in the prediction of adolescent substance use supported the diathesis-stress or differential susceptibility model in 230 15-year old adolescents (53% girls). Interactions between impulsivity and parental knowledge supported the diathesis-stress model with high impulsivity as a vulnerability factor: when impulsivity was higher, low levels of parental knowledge were associated with higher levels of substance use. Interactions between sensation seeking and parental knowledge supported differential susceptibility with low sensation seeking as a susceptibility factor; low parental knowledge was associated with higher substance use and high parental knowledge with lower substance use when sensation seeking was lower. Our results show that impulsivity and sensation seeking should be considered independently. Results support previous research suggesting that impulsivity in adolescence may act as a vulnerability factor and suggests that low sensation seeking may be a susceptibility factor.

By examining both linear and curvilinear associations between mental development and activity level, the study by Flom et al. (Journal of Child Psychology and Psychiatry, 2017) highlights the importance of going beyond linear associations in psychological fields of research. Results from Flom et al. (Journal of Child Psychology and Psychiatry, 2017) also raise interesting questions for future research. First, studies should look at variables that may explain the associations between activity level and mental development, such as self-regulation and attention. Second, longitudinal changes in the strength of the association between activity level and mental development should be examined to determine when this association is at its strongest. Finally, longitudinal research looking at bidirectional effects is needed to confirm the direction of the associations between activity level and mental development. Answers to these questions will allow the identification of the best targets and developmental periods for interventions to take place.

Temperament and parental practices (PP) are important predictors of adolescent alcohol use (AU); however, less is known about how they combine to increase or decrease risk of AU. This study examined whether age 6 temperament (i.e., impulsivity and inhibitory control) interacted with age 6 coercive PP and/or age 14 parental monitoring to predict AU at 15 years among 209 adolescents. Results showed that low parental monitoring was associated with more frequent AU and that coercive PP interacted with impulsivity to predict AU. This interaction was examined as a function of two models that were not studied before in the prediction of AU: the diathesis–stress model (i.e., impulsive children are more “vulnerable” to adverse PP than those with an easy temperament); and the differential susceptibility model (i.e., impulsive children arealsomore likely to benefit from good PP). Results supported the differential susceptibility model by showing that impulsive children were not only at higher risk for AU when combined with high coercive PP but also benefit from the absence of coercive PP. This supports the suggestion that the conception of certain temperament characteristics, or in this case impulsivity, as a “vulnerability” for adolescent AU, may need revision because it misrepresents the malleability it may imply.