Infant-Toddler Social Emotional Assessment Research Articles

Neurobehavioral outcomes of neonatal asymptomatic congenital cytomegalovirus infection at 12-months

BackgroundCongenital cytomegalovirus (cCMV) is the most common congenital viral infection in the United States. Symptomatic infections can cause severe hearing loss and neurological disability, although ~ 90% of cCMV infections are asymptomatic at birth. Despite its prevalence, the long-term neurobehavioral risks of asymptomatic cCMV infections are not fully understood. The objective of this work was to evaluate for potential long-term neurobehavioral sequelae in infants with asymptomatic cCMV.MethodsInfants with cCMV were identified from a universal newborn cCMV screening study in a metropolitan area in the midwestern United States. Asymptomatic infants with cCMV were enrolled in a longitudinal neurodevelopmental study (N = 29). Age- and sex-matched healthy control infants (N = 193) were identified from the Baby Connectome Project (BCP), a longitudinal study of brain and behavioral development. The BCP sample supplemented an additional group of healthy control infants (N = 30), recruited from the same participant registry as the BCP specifically for comparison with infants with asymptomatic cCMV. Neurobehavioral assessments and parent questionnaires, including the Mullen Scales of Early Learning, the Repetitive Behavior Scales for Early Childhood (RBS-EC), and the Infant Toddler Social Emotional Assessment (ITSEA) were administered at 12 months of age. Neurobehavioral scores were compared between infants with asymptomatic cCMV and all identified healthy control infants.ResultsInfants with asymptomatic cCMV performed equivalently compared to healthy control infants on the neurobehavioral measures tested at 12 months of age.ConclusionsThese results indicate that at 12 months of age, infants with asymptomatic cCMV are not statistically different from controls in a number of neurobehavioral domains. Although follow-up is ongoing, these observations provide reassurance about neurobehavioral outcomes for infants with asymptomatic cCMV and inform the ongoing discussion around universal screening. Additional follow-up will be necessary to understand the longer-term outcomes of these children.

Validity of the multidimensional assessment profile of disruptive behavior in autistic toddlers

AbstractObjectiveEarly measurement of atypical disruptive behavior within autistic children is critical for later referrals to behavioral screenings, diagnoses, and services. Disruptive behavior in autistic toddlers is often measured using a categorical approach and identifies the presence or absence of behavior. In contrast, dimensional approaches evaluate behavior on a spectrum of typical to atypical by measuring the clinical salience of disruptive behavior. We sought to assess the validity of the Infant/Toddler version of the multidimensional assessment profile of disruptive behavior (MAP‐DB‐IT), a dimensional approach measurement tool, in a sample of autistic toddlers.MethodsAutistic toddlers (n = 82, Mage = 33.2 months, SD = 6.28 months) and their mothers received 8 weeks of caregiver‐mediated social communication intervention. Mothers completed the MAP‐DB‐IT and the Infant Toddler Social Emotional Assessment (ITSEA) across three timepoints: before intervention, immediately after intervention, and at 3 months post‐intervention follow‐up. The MAP‐DB‐IT provided scores for three subdomains: temper loss, noncompliance, and aggression (generically or specifically with siblings). Ratings on the MAP‐DB‐IT were compared to the ITSEA using several analytic strategies such as evaluating (a) the internal consistency of the MAP‐DB‐IT domain scores; (b) the convergent validity between the two measures; and (c) its convergent change due to intervention and if this varied by child characteristics.ResultsThe MAP‐DB‐IT demonstrated excellent internal consistency across all four subdomains. We evaluated convergent validity and found positive correlations between the (a) ITSEA externalizing and MAP‐DB‐IT aggression domain, (b) ITSEA externalizing and MAP‐DB‐IT aggression with siblings domain, and (c) ITSEA dysregulation and MAP‐DB‐IT temper loss domain.ConclusionThe MAP‐DB‐IT is a valid measurement tool for disruptive behavior in autistic toddlers. Clinicians should consider the use of the MAP‐DB‐IT for young autistic clients presenting with disruptive behavior to (a) discriminate between early developmentally appropriate tantrums from clinically salient dysregulation, and (b) refer to additional behavioral evaluations and services.

Trajectories of maternal depressive and anxiety symptoms and child's socio-emotional outcome during early childhood

Maternal symptoms of depression and anxiety during pregnancy and early postnatal years are suggested to impose differential negative effects on child's socio-emotional development depending on the characteristics of the symptoms, such as timing, intensity, and persistence. The aim of this study was to identify trajectories of maternal depressive and anxiety symptoms from pregnancy until 2 years postpartum and to examine their relationship with child socio-emotional problems and competence at 2 and 5 years of age.The sample included 1208 mother-infant dyads from FinnBrain Birth Cohort study. Latent growth mixture modelling (LGMM) was utilized to model the trajectories of maternal depressive symptoms, measured using the Edinburgh Postnatal Depression Scale (EPDS), and general anxiety, measured with Symptom Checklist-90 (SCL-90) at 14, 24, and 34 weeks' gestation (gw) and at 3, 6 and 24 months postpartum. Maternal depression was also assessed at 12 months. Child socio-emotional problems and competence were evaluated using the Brief Infant Toddler Social Emotional Assessment (BITSEA) at 2 years and Strengths and Difficulties Questionnaire (SDQ) at 5 years. Relevant background factors and maternal concurrent symptomatology were controlled for.The trajectories of maternal depressive and anxiety symptoms were associated negatively with differential aspects of child long term socio-emotional outcomes from early toddlerhood to preschool years. The trajectories of depressive symptoms and high-level persistent symptoms that continued from pregnancy to two years of child age had the strongest negative association with child outcomes. This highlights the importance of identifying and treating maternal symptomatology, especially that of depression, as early as possible.

Cerebellar volume and functional connectivity in neonates predicts social and emotional development in toddlers.

Over the past decade, a growing body of research in adults has emphasized the role of the cerebellum in social and emotional cognition. This has been further supported by findings of delayed social and emotional development in toddlers with cerebellar injury during the fetal and newborn periods. However, the contributions of the cerebellum to social-emotional development in typically developing newborns are unclear. To bridge this gap in knowledge, we used multimodal MRI to investigate associations between cerebellar structure and function in 88 healthy neonates (mean ± sd of postmenstrual age, = 42.00 ± 1.91 weeks) and social-emotional development at 18-months assessed using the Infant-Toddler Social-Emotional Assessment (ITSEA) (mean age on ITSEA: 18.32 ± 1.19 months old). We found that cerebellar volume was not associated with ITSEA domain scores at 18 months. We further demonstrated cerebellar functional gradient (FGR) defined using principal component analysis (PCA) was associated with Externalizing domain (linear regression model, false-discovery-rate-adjusted p = 0.013). This cluster (FGR7) included the left dentate, right VI, left Vermis VIIIb, and right V lobules. Finally, we demonstrated that either structural or functional features of the cerebellum reliably predicted scores on the Externalizing and Internalizing domains (correlation between actual and predicted scores: for structural, Fisher's z = 0.48 ± 0.01 for Internalizing, p = 0.01; for functional, Fisher's z = 0.45 ± 0.01 for Externalizing, p = 0.02; with permutation test). Collectively, our findings suggest that the cerebellum plays an important role in social-emotional development during the critical early stages of life.

Infants entering out-of-home care: Health, developmental needs and service provision

BackgroundThere are rising numbers of infants entering out-of-home care due to child protection concerns. Research has found that infants entering care are at higher risk of developmental vulnerability and poor health problems. ObjectivesTo determine the prevalence of developmental vulnerability for children who entered care as infants, and the extent and likelihood of service provision in relation to their developmental vulnerability. Participants and settingThis study includes children who entered care before the age of 1 year for the first time between May 2010 and October 2011 in New South Wales, Australia, and who received final Children's Court care and protection orders by 30 April 2013. MethodsThis is a prospective cohort study using interview data from the Pathways of Care Longitudinal Study (POCLS) as well as linked administrative child protection and health data. This study used standardised assessments (Age and Stages Questionnaire and the Brief Infant Toddler Social Emotional Assessment) included in the POCLS. Simple and multiple logistic regression analysis was conducted to investigate the likelihood of infants receiving professional services for developmental delays since placement. FindingsA high proportion of children who entered care as infants were identified as developmentally vulnerable through health indicators (36 %) and standardised assessments (70 %). Only 17 % of infants in care received services for developmental delay, with 20 % and 15 % of those identified as developmentally vulnerable through standardised assessments and health-related variables receiving services, respectively. ConclusionsThe findings point to the importance of developmental assessment of infants in care and the identification of developmental vulnerability and delays. The provision of early intervention services is essential for this group of high-risk infants and will be important in optimising their health, as well as social and emotional outcomes.

Family-centred interventions for Indigenous early childhood well-being by primary healthcare services.

Family-centred interventions for Indigenous early childhood well-being by primary healthcare services.

Associations of adverse maternal experiences and diabetes on postnatal maternal depression and child social-emotional outcomes in a South African community cohort.

Previous literature has identified associations between diabetes during pregnancy and postnatal maternal depression. Both maternal conditions are associated with adverse consequences on childhood development. Despite an especially high prevalence of diabetes during pregnancy and maternal postnatal depression in low- and middle-income countries, related research predominates in high-income countries. In a South African cohort with or without diabetes, we investigated associations between adverse maternal experiences with postnatal maternal depression and child social-emotional outcomes. South African mother-child dyads were recruited from the Bishop Lavis community in Cape Town. Participants consisted of 82 mother-child dyads (53 women had GDM or type 2 diabetes). At 14-20 months postpartum, maternal self-report questionnaires were administered to assess household socioeconomic status, food insecurity, maternal depressive symptoms (Edinburgh Postnatal Depression Scale (EPDS)), maternal trauma (Life Events Checklist), and child social-emotional development (Brief Infant Toddler Social Emotional Assessment, Ages and Stages Questionnaires: Social-Emotional, Second Edition). Lower educational attainment, lower household income, food insecurity, living without a partner, and having experienced physical assault were each associated with postnatal maternal depressive symptoms and clinical maternal depression (EPDS ≥ 13). Maternal postnatal depression, lower maternal educational attainment, lower household income, household food insecurity, and living in a single-parent household were each associated with child social-emotional problems. Stratified analyses revealed maternal experiences (education, income, food insecurity, trauma) were associated with postnatal maternal depressive symptoms and child social-emotional problems only among dyads with in utero exposure to diabetes. Women with pre-existing diabetes or gestational diabetes in LMIC settings should be screened for health related social needs to reduce the prevalence of depression and to promote child social-emotional development.

Are There Bidirectional Influences Between Screen Time Exposure and Social Behavioral Traits in Young Children?

Screen time in early childhood has been associated with children's prosocial and behavioral skills; however, the directionality of this relationship is unclear. We aimed to determine the direction of the relationship between screen time, social skills, and nonsocial behavioral traits in young children. This was a population-based, prospective cohort study with data across 5 time points. We examined the reciprocal relationships between caregiver-reported children's screen time at 12, 18, 24, 36, and 54 months and social behaviors collected using the Infant-Toddler Social-Emotional Assessment at 12 months; the Quantitative Checklist for Autism at 18, 24, and 36 months; and the Social Responsiveness Scale at 54 months. Cross-lagged path models were used for analysis. A multiple imputation data set and complete data from 229 participants were included in the analyses. Screen time at 12, 18, and 36 months predicted nonsocial behavioral traits at 54 months. Cross-lagged path models showed a clear direction from increased screen time at earlier time points to both poorer social skills and atypical behaviors at later time points (Akaike information criterion 18936.55, Bayesian information criterion 19210.73, root mean square error of approximation 0.037, and comparative fit index 0.943). Social skills or behavioral traits at a younger age did not predict later screen time at any of the time points. Screen time in early childhood has lagged influences on social skills and nonsocial behaviors; the reverse relationship is not found. Close monitoring of social behaviors may be warranted in the setting of excessive screen time during early childhood.

Aperiodic electrophysiological activity in preterm infants is linked to subsequent autism risk.

Approximately 7% of preterm infants receive an autism spectrum disorder (ASD) diagnosis. Yet, there is a significant gap in the literature in identifying prospective markers of neurodevelopmental risk in preterm infants. The present study examined two electroencephalography (EEG) parameters during infancy, absolute EEG power and aperiodic activity of the power spectral density (PSD) slope, in association with subsequent autism risk and cognitive ability in a diverse cohort of children born preterm in South Africa. Participants were 71 preterm infants born between 25 and 36weeks gestation (34.60±2.34weeks). EEG was collected during sleep between 39 and 41weeks postmenstrual age adjusted (40.00±0.42weeks). The Bayley Scales of Infant Development and Brief Infant Toddler Social Emotional Assessment (BITSEA) were administered at approximately 3 years of age adjusted (34±2.7 months). Aperiodic activity, but not the rhythmic oscillatory activity, at multiple electrode sites was associated with subsequent increased autism risk on the BITSEA at three years of age. No associations were found between the PSD slope or absolute EEG power and cognitive development. Our findings highlight the need to examine potential markers of subsequent autism risk in high-risk populations other than infants at familial risk.

Association of maternal depression and anxiety with toddler social-emotional and cognitive development in South Africa: a prospective cohort study

ObjectiveA robust literature has identified associations between prenatal maternal depression and adverse child social-emotional and cognitive outcomes. The majority of prior research is from high-income countries despite increased reporting of...

Maternal childhood trauma and prenatal stressors are associated with child behavioral health.

Maternal adversity and prenatal stress confer risk for child behavioral health problems. Few studies have examined this intergenerational process across multiple dimensions of stress; fewer have explored potential protective factors. Using a large, diverse sample of mother-child dyads, we examined associations between maternal childhood trauma, prenatal stressors, and offspring socioemotional-behavioral development, while also examining potential resilience-promoting factors. The Conditions Affecting Neurocognitive Development and Learning and Early Childhood (CANDLE) study prospectively followed 1503 mother-child dyads (65% Black, 32% White) from pregnancy. Exposures included maternal childhood trauma, socioeconomic risk, intimate partner violence, and geocode-linked neighborhood violent crime during pregnancy. Child socioemotional-behavioral functioning was measured via the Brief Infant Toddler Social Emotional Assessment (mean age = 1.1 years). Maternal social support and parenting knowledge during pregnancy were tested as potential moderators. Multiple linear regressions (N = 1127) revealed that maternal childhood trauma, socioeconomic risk, and intimate partner violence were independently, positively associated with child socioemotional-behavioral problems at age one in fully adjusted models. Maternal parenting knowledge moderated associations between both maternal childhood trauma and prenatal socioeconomic risk on child problems: greater knowledge was protective against the effects of socioeconomic risk and was promotive in the context of low maternal history of childhood trauma. Findings indicate that multiple dimensions of maternal stress and adversity are independently associated with child socioemotional-behavioral problems. Further, modifiable environmental factors, including knowledge regarding child development, can mitigate these risks. Both findings support the importance of parental screening and early intervention to promote child socioemotional-behavioral health.

Social-Emotional Development and Associated Risk Factors in Chinese Toddlers with Cerebral Palsy.

ObjectiveThis study aimed to analyze the social-emotional behaviors of Chinese toddlers with cerebral palsy and to identify the risk factors associated with these behaviors.MethodsA total of 300 Chinese toddlers and their parents were recruited in this study. A Chinese version of the Infant-Toddler Social-Emotional Assessment was used to assess the children and basic information and clinical data were collected using an author-designed questionnaire. The patients were also assessed using a coping style questionnaire and the hospital anxiety and depression scale. Multiple logistic regression analysis was performed to identify risk factors.ResultsThe scores of the externalizing and competence domains for Chinese toddlers with cerebral palsy at different ages were lower compared to healthy children of the same age and gender (p<0.05). For the boys with cerebral palsy aged between 12–17 and 18–23 months, the scores of the internalizing and dysregulation domains were significantly lower compared to the national normal (p<0.01). The effect of perinatal factors on the externalizing and competence domains was more significant compared to other domains, whilst the coping style of the parents significantly affected the dysregulation domain (p=0.001). Multivariate analysis showed that the parental emotional state, education level, coping style and perinatal factors were closely associated with the social-emotional problems of children with cerebral palsy.ConclusionChildren with cerebral palsy are more likely to have behavioral, emotional, and psychiatric issues that are mostly ignored. These children may benefit from early screening and intervention for risk factors to improve rehabilitation and long-term prognosis.

Intervening With Attachment and Biobehavioral Catch-Up to Reduce Behavior Problems Among Children Adopted Internationally: Evidence From a Randomized Controlled Trial.

Children who have been adopted internationally often exhibit persistent behavior problems. The current study assessed the efficacy of the Attachment and Biobehavioral Catch-up intervention (ABC; Dozier & Bernard, 2019) for reducing behavior problems in 122 children adopted internationally. Behavior problems were measured via parent-report using the Brief Infant Toddler Social Emotional Assessment at a pre-intervention visit and after the intervention when children were between 18 and 36 months. Children's behavior problems were also observed using the Disruptive Behavior Diagnostic Observation Schedule (DB-DOS) after the intervention when children were 48 and 60 months. Parents who received ABC reported fewer child behavior problems than parents who received the control intervention immediately after the intervention through 1.5 years post-intervention. Additionally, children whose parents received ABC exhibited fewer behavior problems within the parent context of the DB-DOS when they were 48 months old (2 years post-intervention) than children whose parents received the control intervention. There were no significant intervention effects on children's observed behavior problems within the examiner contexts. These results support the efficacy of ABC in reducing behavior problems among children adopted internationally. Trial registration: ClinicalTrials.gov NCT00816621.

Family Integrated Care (FICare): Positive impact on behavioural outcomes at 18 months

BackgroundChildren born very preterm demonstrate behavioural challenges due to clinical factors, exposure to the high stress environment of intensive care, and separation from parents during neonatal hospitalization at a critical stage in development. Family Integrated Care (FICare) significantly reduced parent stress and anxiety, and improved neonatal outcomes. AimsTo examine the impact of FICare on behavioural outcomes at 18–21 months corrected age (CA), and assess possible mediation through parenting or infant growth. Study design and methodsA prospective cohort study enrolling infants under 33 weeks gestation and parents from the FICare cluster randomized controlled trial. Primary outcome was behaviour assessed by the Infant Toddler Social Emotional Assessment (ITSEA). Parent child variables were measured with the Nursing Child Assessment Satellite Training (NCAST), Parenting Stress Index (PSI) and infant growth. ResultsSubjects included 123 FICare infants and 62 standard care controls evaluated at 18–21 months CA. FICare infants demonstrated lower ITSEA Dysregulation, indicating better self-regulation skills, compared with the control group (T-score 41.7 vs 46.6, p < 0.01). At 12 months CA, the NCAST Child subtotal score was higher and the PSI-Child Domain score was lower in FICare infants than non-FICare infants. The PSI-Child domain was identified as a possible mediator of FICare on child behaviour (mediation effect 1.28, −2.96–0.02, p = 0.044). ConclusionFICare in the NICU has a sustained effect on child behaviour, improving self-regulation at 18–21 months CA.

Impact of sleep behaviors on social and emotional problems in three-year-old children born prematurely

BackgroundChildhood sleep problems have been associated with a number of negative health outcomes, but there is limited data on the relationship between sleep problems and social and emotional problems in preterm babies. ObjectiveThe aim of this study was to investigate sleep habits and the relationship between sleep problems and social and emotional problems in preterm infants with a corrected age of three years old. MethodThe study included 40 preterm children and 40 full-term children. In order to evaluate the sleep habits and social and emotional problems of the children, their mothers completed the Brief Infant Sleep Questionnaire (BISQ) and the Brief Infant Toddler Social Emotional Assessment Scale (BITSEA) form. ResultsIt has been found that preterm children had longer sleeplessness at night than full-term children and the frequency of night awakening was also higher in full-term children. There was no difference between preterm and full-term children in terms of sleep duration, sleep location and methods of falling asleep. Although there was no difference between the two groups in the BITSEA problem scores, the BITSEA competence scores were significantly lower in preterm children compared to full-term children. In addition, considering the relationship between sleep behaviors and social and emotional problems in preterm infants, a significant correlation was found between short sleep duration at night, total sleep duration, and lower BITSEA competence scores. A late sleep time and social and emotional subclinical problem scores were also found to be correlated. ConclusionAccording to the results of this study, no significant difference was found in terms of sleep behaviors between preterm and full-term three-year-old children. However, BITSEA competence scores were lower in preterm children and an association has been found between sleep behaviors and social and emotional problems.

Preterm birth and maternal sensitivity: Findings from a non-western country

IntroductionAlthough there are several studies on maternal sensitivity of preterm-born children conducted in Western countries, the factors affecting the sensitivity of mothers of preterm infants have not been investigated outside the Western context. ObjectivesThis study aimed to compare maternal sensitivity of preterm children at 18 months of corrected age with their healthy term-born peers and explore the factors associated with maternal sensitivity in a middle-income non-Western country. Moreover, the associations of maternal sensitivity with socio-demographic factors, maternal depression, and social-emotional competency and behavior problems of infants were investigated. MethodsIn total, 70 (40 preterm-born and 30 term-born) mother-child dyads participated in this study. An observation-based measurement tool, Maternal Sensitivity Scale, was used to assess maternal sensitivity. Social-emotional competency and behavior problems of infants were evaluated via The Turkish version of the Brief Infant-Toddler Social Emotional Assessment. Maternal depressive symptoms were assessed via the Beck Depression Inventory. In addition, a demographic information form was filled out by the mothers. ResultsMaternal sensitivity scores of preterm infants were significantly lower compared to term infants. Depressive symptoms scores and employment status of mothers, socio-economic status (SES), gestational age, breastfeeding duration, and behavior problems of children were the factors related to maternal sensitivity scores. In hierarchical regression analysis, SES and gestational age were the strongest predictors of maternal sensitivity. After controlling SES and gestational age, maternal depressive symptoms scores negatively predicted maternal sensitivity scores. ConclusionThis study pointed out the factors associated with the maternal sensitivity of preterm infants outside the Western context. Interventions to improve sensitive parenting behaviors of preterm infants are needed, especially in socio-economically disadvantaged groups.

The association between social emotional development and symptom presentation in autism spectrum disorder.

Understanding differences in social-emotional behavior can help identify atypical development. This study examined the differences in social-emotional development in children at increased risk of an autism spectrum disorder (ASD) diagnosis (infant siblings of children diagnosed with the disorder). Parents completed the Brief Infant-Toddler Social-Emotional Assessment (BITSEA) to determine its ability to flag children with later-diagnosed ASD in a high-risk (HR) sibling population. Parents of HR (n = 311) and low-risk (LR; no family history of ASD; n = 127) children completed the BITSEA when their children were 18 months old and all children underwent a diagnostic assessment for ASD at age 3 years. All six subscales of the BITSEA (Problems, Competence, ASD Problems, ASD Competence, Total ASD Score, and Red Flags) distinguished between those in the HR group who were diagnosed with ASD (n = 84) compared to non-ASD-diagnosed children (both HR-N and LR). One subscale (BITSEA Competence) differentiated between the HR children not diagnosed with ASD and the LR group. The results suggest that tracking early social-emotional development may have implications for all HR children, as they are at increased risk of ASD but also other developmental or mental health conditions.

Brain connectivity and socioeconomic status at birth and externalizing symptoms at age 2 years

Low childhood socioeconomic status (SES) predisposes individuals to altered trajectories of brain development and increased rates of mental illness. Brain connectivity at birth is associated with psychiatric outcomes. We sought to investigate whether SES at birth is associated with neonatal brain connectivity and if these differences account for socioeconomic disparities in infant symptoms at age 2 years that are predictive of psychopathology. Resting state functional MRI was performed on 75 full-term and 37 term-equivalent preterm newborns (n = 112). SES was characterized by insurance type, the Area Deprivation Index, and a composite score. Seed-based voxelwise linear regression related SES to whole-brain functional connectivity of five brain regions representing functional networks implicated in psychiatric illnesses and affected by socioeconomic disadvantage: striatum, medial prefrontal cortex (mPFC), ventrolateral prefrontal cortex (vlPFC), and dorsal anterior cingulate cortex. Lower SES was associated with differences in striatum and vlPFC connectivity. Striatum connectivity with frontopolar and medial PFC mediated the relationship between SES and behavioral inhibition at age 2 measured by the Infant-Toddler Social Emotional Assessment (n = 46). Striatum-frontopolar connectivity mediated the relationship between SES and externalizing symptoms. These results, convergent across three SES metrics, suggest that neurodevelopmental trajectories linking SES and mental illness may begin as early as birth.

Regional brain volumes, microstructure and neurodevelopment in moderate–late preterm children

ObjectiveTo explore whether regional brain volume and white matter microstructure at term-equivalent age (TEA) are associated with development at 2 years of age in children born moderate–late preterm (MLPT).Study designA...

Does the Psychopathology of the Parents Predict the Developmental-Emotional Problems of the Toddlers?

Parental psychopathology has been defined in respect of psychopathological development in early childhood. This study aimed to investigate the effects of parental psychopathologies on social and emotional problems in the age range of 1-3 years and to determine children at risk. The study data were obtained from the 2009 Early Childhood Mental Health Profile taking population distribution into consideration with the properties representing Turkey. The primary caregiver of the child completed the Psychiatric Evaluation Form for 1-3 years, the Brief Infant-Toddler Social Emotional Assessment (BITSEA), the Ages and Stages Questionnaire (ASQ), and the Brief Symptom Inventory (BSI) for themselves. Machine learning models used for prediction. The performance of prediction models was evaluated with the ten-fold cross-validation method. Area Under Curve (AUC) values were calculated with Receiver Operating Characteristic (ROC) curves to evaluate the performance of each model. The evaluation was made of the data of 2775 children, comprising 1507 (54.3%) males and 1268 (45.7%) females with a mean age of 26.19±9.11 months (range, 10-48 months). A total of 106 children were identified as at risk, as they were above the clinical cut-off point (1.5 standard deviations) of the BITSEA points and below the cut-off points of any one of the developmental areas of the ASQ. Modeling was applied to the data of these 106 children. The Support Vector Machines (SVM) model was selected for prediction with the automatically optimized highest AUC value. Weighting for the SVM algorithm showed mothers' BSI scores, fathers' education and health problems, duration of breastfeeding, unplanned pregnancy are significant for predicting BITSEA-problem scores in the model. To be able to understand the complex relationship with parental psychopathology and behavioral problems, machine learning methods were used successfully in this study. Further studies with more massive data sets, more extended follow-up periods, and stronger algorithms will be able to identify risk groups earlier and allow early interventions to be implemented.