Evaluation of an automated matching system of children and families to virtual mental health resources during COVID-19.

BACKGROUND: Children and their families often face obstacles in accessing mental health (MH) services. The purpose of this study was to develop and pilot test an electronic matching process to match children with virtual MH resources and increase access to treatment for children and their families during COVID-19. METHODS: Within a large observational child cohort, a random sample of 292 families with children ages 6-12 years were invited to participate. Latent profile analysis indicated five MH profiles using parent-reported symptom scores from validated depression, anxiety, hyperactivity, and inattention measures: (1) Average Symptoms, (2) Low Symptoms, (3) High Symptoms, (4) Internalizing, and (5) Externalizing. Children were matched with virtual MH resources according to their profile; parents received surveys at Time 1 (matching process explanation), Time 2 (match delivery) and Time 3 (resource uptake). Data on demographics, parent MH history, and process interest were collected. RESULTS: 128/292 families (44%) completed surveys at Time 1, 80/128 families (63%) at Time 2, and a final 67/80 families (84%) at Time 3, yielding an overall uptake of 67/292 (23%). Families of European-descent and those with children assigned to the Low Symptoms profile were most likely to express interest in the process. No other factors were associated with continued interest or uptake of the electronic matching process. Most participating parents were satisfied with the process. CONCLUSIONS: The electronic matching process delivered virtual MH resources to families in a time-efficient manner. Further research examining the effectiveness of electronically matched resources in improving children's MH symptoms is needed.

The Distinction Between Social Connectedness and Support When Examining Depressive Symptoms Among Children and Adolescents During the COVID-19 Pandemic.

Childhood depression is associated with significant social and functional impairment, suicide risk, and persistence throughout adulthood. Recent evidence demonstrates that social connectedness and social support may serve as protective factors against the development of depression. The current study aimed to examine the effect of change in social connectedness and social support on depressive symptoms among children and adolescents during the COVID-19 pandemic. Hierarchical regression was performed. Results indicated that parent-reported measures of change in social connectedness were inversely associated with depressive symptom severity, and could significantly predict future depressive symptom severity. In contrast, parent-reported measures of social support (i.e., from family and friends) did not significantly predict future depressive symptom severity. The presence of a pre-COVID psychiatric and/or neurodevelopmental diagnosis and baseline depressive symptom severity were also important factors associated with future depressive symptom severity. The findings suggest that an awareness of the presence of social supports (i.e., family or friends) is not sufficient for children to feel connected, but rather the mechanisms of social relationships are crucial. As our approach to public health restrictions evolves, the risk transmission of COVID-19 should be carefully balanced with the risks associated with decreased connectedness among youth.

Disruption to Education During COVID-19: School Nonacademic Factors Are Associated with Children's Mental Health.

OBJECTIVE: Few studies have examined aspects of the school environment, beyond modality, as contributors to child and youth mental health during the coronavirus pandemic. We investigated associations between nonacademic school experiences and children's mental health. METHODS: Parents of children ages 6 to 18 years completed online surveys about school experiences (November 2020) and mental health (February/March 2021). Parent-reported and child-reported school experiences (i.e., nonacademic factors) included school importance, adapting to public health measures, and school connectedness. Children's mental health symptoms of depression, anxiety, inattention, and hyperactivity were collected using standardized parent-reported measures. RESULTS: Children's (N = 1052) self-reported and parent-reported nonacademic factors were associated with mental health outcomes, after adjusting for demographics and previous mental health. Lower importance, worse adapting to school changes, and less school connectedness were associated with greater depressive symptoms ( B = -4.68, CI [-6.04, -3.67] to - 8.73 CI [-11.47, 5.99]). Lower importance and worse adapting were associated with greater anxiety symptoms ( B = - 0.83 , CI [-1.62, -0.04] to -1.04 CI [-1.60, -0.48]). Lower importance was associated with greater inattention (B = -4.75, CI [-6.60, -2.90] to -6.37, CI [-11.08, -7.50]). Lower importance and worse adapting were associated with greater hyperactivity (B = -1.86, CI [-2.96, -0.77] to -4.71, CI [-5.95, -3.01]). CONCLUSION: Schools offer learning opportunities that extend beyond curriculum content and are a primary environment where children and youth develop connections with others. These aspects of school, beyond academics, should be recognized as key correlates of child and youth mental health.

School and learning contexts during the COVID-19 pandemic: Implications for child and youth mental health.

Despite significant disruption to school during the COVID-19 pandemic, research on the impact on children is sparse. This study examines in-person and virtual learning contexts and the impact of school format on mental health (MH). Children and adolescents were recruited from community and clinical settings. Parents and children completed prospective online surveys about school experiences (November 2020) and MH symptoms (February/March 2021), including school format and activities. Standardized measures of depression, anxiety, inattention, and hyperactivity were collected. Hierarchical regression analyses tested associations between school format and MH. Children (N = 1011; aged 6-18 years) attending school in-person (n = 549) engaged in high levels of participation in COVID-19 health measures and low levels of social learning activities. Learning online in high school was associated with greater MH symptoms (B = -2.22, CI[-4.32,-.12] to B = -8.18, CI[-15.59,-.77]). Children with no previous MH condition that attended school virtually experienced a similar magnitude of MH symptoms as those with previous MH conditions. However, children who attended school in a hybrid in-person format, with no previous MH condition, experienced less hyperactivity as same-age peers with prior MH problems (B = -8.08, CI[1.58,14.58]). Children's learning environments looked very different compared to before the pandemic. Removing children from school environments and limiting opportunities that support their MH, such as social learning activities, is problematic. Efforts to address the learning contexts to protect the mental health of children are needed.

How much is enough? Considering minimally important change in youth mental health outcomes.

To make decisions in mental health care, service users, clinicians, and administrators need to make sense of research findings. Unfortunately, study results are often presented as raw questionnaire scores at different time points and regression coefficients, which are difficult to interpret with regards to their clinical meaning. Other commonly reported treatment outcome indicators in clinical trials or meta-analyses do not convey whether a given change score would make a noticeable difference to service users. There is an urgent need to improve the interpretability and relevance of outcome indicators in youth mental health (aged 12-24 years), in which shared decision making and person-centred care are cornerstones of an ongoing global transformation of care. In this Personal View, we make a case for considering minimally important change (MIC) as a meaningful, accessible, and user-centred outcome indicator. We discuss what the MIC represents, how it is calculated, and how it can be implemented in dialogues between clinician and researcher, and between youth and clinician. We outline how use of the MIC could enhance reporting in clinical trials, meta-analyses, clinical practice guidelines, and measurement-based care. Finally, we identify current methodological challenges around estimating the MIC and areas for future research. Efforts to select outcome domains and valid measurement instruments that resonate with youth, families, and clinicians have increased in the past 5 years. In this context, now is the time to define demarcations of changes in outcome scores that are clinically relevant, and meaningful to youth and families. Through the use of MIC, youth-centred outcome measurement, analysis, and reporting would support youth-centred therapeutic decision making.

Educators Describe the "Best Things" About Students with Autism at School.

This study examined educators' descriptions of the positive character traits of students with autism spectrum disorder at ages 7-8 and 10-11, using an adapted version of the Values in Action (VIA) Classification of Strengths. The most commonly endorsed strengths at both age intervals were kindness, specific skills, self-regulation, and perseverance. Higher scores for challenging behavior were associated with a lower likelihood of endorsement for Happiness and Courage traits. Higher autism symptom severity scores were associated with a lower likelihood of endorsement for Courage traits. Few significant differences were found for endorsement of trait categories by students' educational placement or the type of curriculum they received. Results may have implications for student-teacher relationships, educational assessments, and school-based interventions that emphasize strengths and resilience.

Characterizing the ASD-ADHD phenotype: measurement structure and invariance in a clinical sample.

BACKGROUND: Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) have considerable overlap, supporting the need for a dimensional framework that examines neurodevelopmental domains which cross traditional diagnostic boundaries. In the following study, we use factor analysis to deconstruct the ASD-ADHD phenotype into its underlying phenotypic domains and test for measurement invariance across adaptive functioning, age, gender and ASD/ADHD clinical diagnoses. METHODS: Participants included children and youth (aged 3-20 years) with a clinical diagnosis of ASD (n = 727) or ADHD (n = 770) for a total of 1,497 participants. Parents of these children completed the Social Communication Questionnaire (SCQ), a measure of autism symptoms, and the Strengths and Weaknesses of ADHD and Normal Behaviour (SWAN) questionnaire, a measure of ADHD symptoms. An exploratory factor analysis (EFA) was performed on combined SCQ and SWAN items. This was followed by a confirmatory factor analysis (CFA) and tests of measurement invariance. RESULTS: EFA revealed a four-factor solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviours and interests (RRBI)) and a CFA confirmed good model fit. This solution also showed good model fit across subgroups of interest. CONCLUSIONS: Our study shows that a combined ASD-ADHD phenotype is characterized by two latent ASD domains (social communication and RRBIs) and two latent ADHD domains (inattention and hyperactivity/impulsivity). We established measurement invariance of the derived measurement model across adaptive functioning, age, gender and ASD/ADHD diagnoses.

Mostly worse, occasionally better: impact of COVID-19 pandemic on the mental health of Canadian children and adolescents.

This large cross-sectional study examined the impact of COVID-19 emergency measures on child/adolescent mental health for children/adolescents with and without pre-existing psychiatric diagnoses. Using adapted measures from the CRISIS questionnaire, parents of children aged 6-18 (N = 1013; 56% male; 62% pre-existing psychiatric diagnosis) and self-reporting children/adolescents aged 10-18 (N = 385) indicated changes in mental health across six domains: depression, anxiety, irritability, attention, hyperactivity, and obsessions/compulsions. Changes in anxiety, irritability, and hyperactivity were calculated for children aged 2-5 years using the Strengths and Difficulties Questionnaire. COVID-19 exposure, compliance with emergency measures, COVID-19 economic concerns, and stress from social isolation were measured with the CRISIS questionnaire. Prevalence of change in mental health status was estimated for each domain; multinomial logistic regression was used to determine variables associated with mental health status change in each domain. Depending on the age group, 67-70% of children/adolescents experienced deterioration in at least one mental health domain; however, 19-31% of children/adolescents experienced improvement in at least one domain. Children/adolescents without and with psychiatric diagnoses tended to experience deterioration during the first wave of COVID-19. Rates of deterioration were higher in those with a pre-exiting diagnosis. The rate of deterioration was variable across different age groups and pre-existing psychiatric diagnostic groups: depression 37-56%, anxiety 31-50%, irritability 40-66%, attention 40-56%, hyperactivity 23-56%, obsessions/compulsions 13-30%. Greater stress from social isolation was associated with deterioration in all mental health domains (all ORs 11.12-55.24). The impact of pre-existing psychiatric diagnosis was heterogenous, associated with deterioration in depression, irritability, hyperactivity, obsession/compulsions for some children (ORs 1.96-2.23) but also with improvement in depression, anxiety, and irritability for other children (ORs 2.13-3.12). Economic concerns were associated with improvement in anxiety, attention, and obsessions/compulsions (ORs 3.97-5.57). Children/adolescents with and without pre-existing psychiatric diagnoses reported deterioration. Deterioration was associated with increased stress from social isolation. Enhancing social interactions for children/adolescents will be an important mitigation strategy for current and future COVID-19 waves.

Screen Use and Mental Health Symptoms in Canadian Children and Youth During the COVID-19 Pandemic.

Importance: Longitudinal research on specific forms of electronic screen use and mental health symptoms in children and youth during COVID-19 is minimal. Understanding the association may help develop policies and interventions targeting specific screen activities to promote healthful screen use and mental health in children and youth. Objective: To determine whether specific forms of screen use (television [TV] or digital media, video games, electronic learning, and video-chatting time) were associated with symptoms of depression, anxiety, conduct problems, irritability, hyperactivity, and inattention in children and youth during COVID-19. Design, Setting, and Participants: A longitudinal cohort study with repeated measures of exposures and outcomes was conducted in children and youth aged 2 to 18 years in Ontario, Canada, between May 2020 and April 2021 across 4 cohorts of children or youth: 2 community cohorts and 2 clinically referred cohorts. Parents were asked to complete repeated questionnaires about their children's health behaviors and mental health symptoms during COVID-19. Main Outcomes and Measures: The exposure variables were children's daily TV or digital media time, video game time, electronic-learning time, and video-chatting time. The mental health outcomes were parent-reported symptoms of child depression, anxiety, conduct problems and irritability, and hyperactivity/inattention using validated standardized tools. Results: This study included 2026 children with 6648 observations. In younger children (mean [SD] age, 5.9 [2.5] years; 275 male participants [51.7%]), higher TV or digital media time was associated with higher levels of conduct problems (age 2-4 years: ß, 0.22 [95% CI, 0.10-0.35]; P < .001; age ≥4 years: ß, 0.07 [95% CI, 0.02-0.11]; P = .007) and hyperactivity/inattention (ß, 0.07 [95% CI, 0.006-0.14]; P = .04). In older children and youth (mean [SD] age, 11.3 [3.3] years; 844 male participants [56.5%]), higher levels of TV or digital media time were associated with higher levels of depression, anxiety, and inattention; higher levels of video game time were associated with higher levels of depression, irritability, inattention, and hyperactivity. Higher levels of electronic learning time were associated with higher levels of depression and anxiety. Conclusions and Relevance: In this cohort study, higher levels of screen use were associated poor mental health of children and youth during the COVID-19 pandemic. These findings suggest that policy intervention as well as evidence-informed social supports are needed to promote healthful screen use and mental health in children and youth during the pandemic and beyond.

Vulnerability pathways to mental health outcomes in children and parents during COVID-19.

We examined pathways from pre-existing psychosocial and economic vulnerability to mental health difficulties and stress in families during the COVID-19 pandemic. Data from two time points from a multi-cohort study initiated during the COVID-19 pandemic were used. Parents of children 6-18 years completed questionnaires on pre-COVID-19 socioeconomic and demographic factors in addition to material deprivation and stress due to COVID-19 restrictions, mental health, and family functioning. Youth 10 years and older also completed their own measures of mental health and stress. Using structural equation modelling, pathways from pre-existing vulnerability to material deprivation and stress due to COVID-19 restrictions, mental health, and family functioning, including reciprocal pathways, were estimated. Pre-existing psychosocial and economic vulnerability predicted higher material deprivation due to COVID-19 restrictions which in turn was associated with parent and child stress due to restrictions and mental health difficulties. The reciprocal effects between increased child and parent stress and greater mental health difficulties at Time 1 and 2 were significant. Reciprocal effects between parent and child mental health were also significant. Finally, family functioning at Time 2 was negatively impacted by child and parent mental health and stress due to COVID-19 restrictions at Time 1. Psychosocial and economic vulnerability is a risk factor for material deprivation during COVID-19, increasing the risk of mental health difficulties and stress, and their reciprocal effects over time within families. Implications for prevention policy and parent and child mental health services are discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-021-02459-z.

Public health preventive measures and child health behaviours during COVID-19: a cohort study.

OBJECTIVE: The primary objective was to determine the association between public health preventive measures and children's outdoor time, sleep duration, and screen time during COVID-19. METHODS: A cohort study using repeated measures of exposures and outcomes was conducted in healthy children (0 to 10 years) through The Applied Research Group for Kids (TARGet Kids!) COVID-19 Study of Children and Families in Toronto, Canada, between April 14 and July 15, 2020. Parents were asked to complete questionnaires about adherence to public health measures and children's health behaviours. The primary exposure was the average number of days that children practiced public health preventive measures per week. The three outcomes were children's outdoor time, total screen time, and sleep duration during COVID-19. Linear mixed-effects models were fitted using repeated measures of primary exposure and outcomes. RESULTS: This study included 554 observations from 265 children. The mean age of participants was 5.5 years, 47.5% were female and 71.6% had mothers of European ethnicity. Public health preventive measures were associated with shorter outdoor time (-17.2; 95% CI -22.07, -12.40; p < 0.001) and longer total screen time (11.3; 95% CI 3.88, 18.79; p = 0.003) during COVID-19. The association with outdoor time was stronger in younger children (<5 years), and the associations with total screen time were stronger in females and in older children (≥5 years). CONCLUSION: Public health preventive measures during COVID-19 were associated with a negative impact on the health behaviours of Canadian children living in a large metropolitan area.

RéSUMé: OBJECTIF: L'objectif principal était de déterminer la relation entre les mesures préventives de la santé publique et le temps passé en plein air, la durée du sommeil ainsi que le temps passé devant l'écran par les enfants pendant COVID-19. MéTHODES: Une étude de cohorte utilisant des mesures répétées des expositions et des effets a été menée chez des enfants en bonne santé (0 à 10 ans) par l'entremise de l'Étude COVID-19 sur les Enfants et Familles du Groupe de Recherche Appliquée pour les Enfants (TARGet Kids!) à Toronto, au Canada, entre le 14 avril et le 15 juillet 2020. Les parents ont été invités à remplir des questionnaires sur adhésion aux mesures préventives de la santé publique et les comportements de santé des enfants. La principale exposition était le nombre moyen de jours par semaine durant lesquels les enfants pratiquaient des mesures préventives de la santé publique. Les trois effets étaient le temps passé en plein air par les enfants, le temps total passé devant l'écran et la durée du sommeil pendant le COVID-19. Des modèles linéaires à effets mixtes ont été ajustés en utilisant des mesures répétées d'exposition primaire et des effets. RéSULTATS: Cette étude comprend 554 observations sur 265 enfants. L'âge moyen des participants était de 5,5 ans, 47,5 % étaient des femmes et 71,6 % avaient des mères d'origine européenne. Les mesures préventives de la santé publique ont été associées à un temps passé en plein air plus court (-17,2 ; IC 95% -22,07, -12,40; p < 0,001) et à un temps total devant l'écran plus long (11,3 ; IC 95% 3,88, 18,79; p = 0,003) pendant la COVID-19. La relation avec le temps passé en plein air était plus importante chez les jeunes enfants (<5 ans), et les relations avec le temps total passé devant l'écran étaient plus importantes chez les enfants de sexe féminin et les enfants plus âgés (≥5 ans). CONCLUSION: Les mesures préventives de la santé publique prises lors de COVID-19 ont été associées à un impact négatif sur les comportements de santé des enfants canadiens vivant dans une grande région métropolitaine.

Association of Child and Family Attributes With Outcomes in Children With Autism.

Importance: The prevalence and attributes of positive outcomes (or doing well) among children with autism spectrum disorder (ASD) in midchildhood are not well known. Objective: To estimate the prevalence of doing well according to metrics of proficiency and growth and to investigate the extent to which significant associations exist between child- and family-level variables and doing well. Design, Setting, and Participants: This longitudinal cohort study included children with ASD from regional clinics across Canada. Participants were sampled 3 times between ages 2 and 4.9 years (T1) and twice in follow-up into middle childhood (T2). Data were analyzed March 2018 through January 2020. Exposures: Language and IQ assessments at first sample; household income, parent coping, and family functioning. Main Outcomes and Measures: Key outcome domains of developmental health included measures of socialization, communication, independent living skills, and measures of internalizing and externalizing behaviors. Thresholds for doing well in these domains by either proficiency or growth were established. The extent to which language, IQ, household income, parent coping, and family functioning were associated with assessed outcomes was determined by logistic regression. The association between outcomes and concurrent Autism Diagnostic Observation Schedule (ADOS) classification scores was also estimated. Results: In a total cohort of 272 children (234 [86.0%] boys; mean [SD] age, 10.76 [0.26] years), approximately 78.8% (95% CI, 73.2%-84.4%) of the sample were estimated to be doing well by either metric on at least 1 domain, and 23.6% (95% CI, 17.7%-29.4%) were doing well in 4 or 5 domains. It was possible to be doing well by either proficiency or growth and still meet ADOS criteria for ASD. For the growth metric, between 61.5% (95% CI, 40.7%-79.1%) and 79.6% (95% CI, 66.0%-88.9%) of participants had ADOS scores of 4 or greater; for the proficiency metric, between 63.8% (95% CI, 48.4%-76.9%) and 75.8% (95% CI, 63.0%-85.4%) had scores of 4 or greater. Doing well by either metric for all domains was associated with T1 scores on that outcome domain (eg, T1 daily living skills associated with doing well at T2 daily living by the proficiency metric as measured by the Vineland Adaptive Behavior Scales-Second Edition daily living skills scale [202 participants]: ß = 0.07; OR, 1.07; 95% CI, 1.03-1.11; P < .001). Doing well in socialization by the growth metric was also associated with better T1 language skills scores (202 participants) (ß = 0.04; OR, 1.04; 95% CI, 1.00-1.07, P = .04). Doing well in externalizing by the growth metric was also associated with higher household income at T1 (178 participants) (ß = 0.10; OR, 1.10; 95% CI, 1.06-1.15; P < .001). Better family functioning at T1 was associated with doing well on both socialization and externalizing by proficiency metric and on internalizing by growth metric (socialization by proficiency [202 participants]: ß = -1.01; OR, 0.36; 95% CI, 0.14-0.93; P = .04; externalizing by proficiency [178 participants]: ß = 1.00; OR, 0.37; 95% CI, 0.16-0.82; P = .02; internalizing by growth [178 participants]: ß = -1.03; OR, 0.36; 95% CI, 0.16-0.79; P = .01). Conclusions and Relevance: This cohort study found that a substantial proportion of children with ASD were doing well by middle childhood in at least 1 key domain of developmental health, and that doing well was possible even in the context of continuing to meet criteria for ASD. These results support a strengths-based approach to treatment planning that should include robust support for families to increase the potential likelihood of doing well later in life.

Inattention and hyperactive/impulsive component scores do not differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder in a clinical sample.

BACKGROUND: Although there is high co-occurrence between ASD and ADHD, the nature of this co-occurrence remains unclear. Our study aimed to examine the underlying relationship between ASD and ADHD symptoms in a combined sample of children with a primary clinical diagnosis of ASD or ADHD. METHODS: Participants included children and youth (aged 3-20 years) with a clinical diagnosis of ASD (n = 303) or ADHD (n = 319) for a total of 622 participants. Parents of these children completed the social communication questionnaire (SCQ), a measure of autism symptoms, and the strengths and weaknesses of ADHD and normal behavior (SWAN) questionnaire, a measure of ADHD symptoms. A principal component analysis (PCA) was performed on combined SCQ and SWAN items, followed by a profile analysis comparing normalized component scores between diagnostic groups and gender. RESULTS: PCA revealed a four-component solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviors, and interests (RRBI)), with no overlap between SCQ and SWAN items in the components. Children with ASD had higher component scores in social-communication and RRBI than children with ADHD, while there was no difference in inattentive and hyperactive/impulsive scores between diagnostic groups. Males had higher scores than females in social-communication, RRBI, and hyperactivity/impulsivity components in each diagnostic group. LIMITATIONS: We did not formally assess children with ASD for ADHD using our research-criteria for ADHD, and vice versa. High rates of co-occurring ADHD in ASD, for example, may have inflated component scores in inattention and hyperactivity/impulsivity. A disadvantage with using single informant-based reports (i.e., parent-rated questionnaires) is that ASD and ADHD symptoms may be difficult to distinguish by parents, and may be interpreted differently between parents and clinicians. CONCLUSIONS: ASD and ADHD items loaded on separate components in our sample, suggesting that the measurement structure cannot explain the covariation between the two disorders in clinical samples. High levels of inattention and hyperactivity/impulsivity were seen in both ASD and ADHD in our clinical sample. This supports the need for a dimensional framework that examines neurodevelopmental domains across traditional diagnostic boundaries. Females also had lower component scores across social-communication, RRBI, and hyperactivity/impulsivity than males, suggesting that there may be gender-specific phenotypes related to the two conditions.

Once and Again : History of Rearing Experiences and Psychosocial Parenting Resources at Six Months in Primiparous Mothers.

Animal and human studies suggest that parenting style is transmitted from one generation to the next. The hypotheses of this study were that (1) a mother's rearing experiences (G1) would predict her own parenting resources (G2) and (2) current maternal mood, motivation to care for her offspring, and relationship with her parents would underlie this association. In a subsample of 201 first-time mothers participating in the longitudinal Maternal Adversity, Vulnerability and Neurodevelopment project, we assessed a mother's own childhood maltreatment and rearing experiences (G1) using the Childhood Trauma Questionnaire and the Parental Bonding Instrument. At 6 months postpartum, mothers completed questionnaires on parenting stress (G2), symptoms of depression, maternal motivation, and current relationship with their own parents. The sample consisted of mostly high socioeconomic status mothers recruited from Montréal (n = 135) or Hamilton (n = 66), Canada, with an age range from 18 to 43 years (M = 29.41, SD = 4.85 years). More severe maltreatment and less supportive rearing by the mother's parents (G1) predicted increased parenting stress at 6 months (G2). These associations were mediated through distinct psychosocial pathways: maltreatment (G1) on parenting stress (G2) through symptoms of depression (Z = 2.297; p = .022); maternal rearing (G1) on parenting stress (G2) through maternal motivation (Z = -2.155; p = .031) and symptoms of depression (Z = -1.842; p = .065); and paternal rearing (G1) on parenting stress (G2) through current relationship with the father (Z = -2.617; p = .009). Maternal rearing experiences predict a mother's own parenting resources though distinct psychosocial pathways, including depressed mood, maternal motivation, and social support.

The effects of pregnancy, lactation, and primiparity on object-in-place memory of female rats.

Maternal physiology and behavior change dramatically over the course of pregnancy to nurture the fetus and prepare for motherhood. Further, the experience of motherhood itself continues to influence brain functioning well after birth, shaping behavior to promote the survival of offspring. To meet these goals, cognitive abilities, such as spatial memory and navigation, may be enhanced to facilitate foraging behavior. Existing studies on pregnant and maternal rats demonstrate enhanced cognitive function in specific spatial domains. We adopted a novel object-in-place task to assess the ability of female rats to integrate information about specific objects in specific locations, a critical element of foraging behavior. Using a longitudinal design to study changes in spatial memory across pregnancy and motherhood, an advantage in the object-in-place memory of primiparous female rats compared to nulliparous females emerged during lactation not during pregnancy, and was maintained after weaning at 42 days postpartum. This enhancement was not dependent on the non-mnemonic variables of anxiety or neophobia. Parity did not affect the type of learning strategy used by females to locate a cued escape platform on a dual-solution water maze task. Results indicate that the enhancement of object-in-place memory, a cognitive function that facilitates foraging, emerged after pregnancy during the postpartum period of lactation and persisted for several weeks after weaning of offspring.

Sex differences in object-in-place memory of adult rats.

Male rodents typically display an advantage over female conspecifics in tasks that assess memory for the identity or location of objects. However, the performance of female rodents on object recognition and object location tasks often is enhanced by elevated levels of ovarian steroids. The novel object-in-place task, combines elements of object recognition and object location tasks used to assess rodent object memory. Until now, only male rats have been tested on the object-in-place task, therefore, a study was conducted to compare the performance of males to females under different hormone conditions. Rats were given a sample phase to study the locations of four objects in an open field. After various delays, a test phase was administered with the locations of two objects reversed. Increased investigation of moved objects indicates memory for these objects and their original locations. Rats were able to discriminate moved from unmoved objects after a brief 5-min delay, regardless of biological sex or hormone status. However, gonadally intact males, but not diestrous females, were able to discriminate object locations after a 30-min delay. In contrast, ovariectomized females treated with estradiol and progesterone discriminated moved from unmoved objects after a 60-min delay while ovariectomized vehicle-treated females and gonadally intact males did not. Results indicate that female rats outperform males on a memory task that combines object recognition and location but only when circulating levels of the ovarian steroids, estradiol and progesterone, are elevated and only when memory is challenged by an extended retention interval.