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The objective of this study was to explore the relationship between various forms of child nutritional disorders and early childhood development in Bangladesh. We analysed data from the nationally representative cross-sectional 2019 Multiple Indicator Cluster Survey. Early childhood development was evaluated using the Early Childhood Development Index (ECDI), which comprised 10 yes-or-no questions across four domains: literacy-numeracy, physical well-being, socio-emotional development, and learning abilities. Nutritional disorders (e.g. stunting, wasting, and underweight) were measured based on the World Health Organization's height and weight guidelines. To investigate the relationships between child development and nutritional disorders, we used multilevel logistic regression models. Bangladesh. Data of 9,455 children aged 3 and 4 years. Approximately 38 % of the children analysed experienced a nutritional disorder, with stunting being the most prevalent at 28·15 %. Overall, 25·27 % did not meet expected developmental progress measured by the ECDI. Stunted children were more likely to be off track developmentally, while those without any nutritional disorder were more likely to be on track. Socio-demographic factors, including age, sex, attendance in early childhood education programme, maternal education, maternal functional difficulties, region, and income, were identified as determinants of ECDI. Childhood nutrition and socio-demographic factors significantly affect multiple developmental domains and overall ECDI among children aged 3-4 years. Prioritising policies and programmes that improve nutrition and address these determinants are crucial for fostering optimal development in children.

Background Infant neurodevelopment in the first years after birth is determined by multiple factors, including parental care and maternal mental wellbeing. In this study, we aim to assess the impact of persistent maternal depressive symptoms during the first 3 months postpartum on infant neurodevelopment at 6 months. Methods Using a longitudinal cohort design, 1253 mother-infant pairs were followed up at 7, 45, and 90 days to assess postpartum depressive symptoms using the Edinburgh Postnatal Depression Scale (EPDS); infants were followed up at 6 months to assess neuro-developmental status using the WHO’s Infant and Young Child Development (IYCD) tool. A generalized linear regression model was used to assess the association between persistent postpartum depressive symptoms and infant neurodevelopmental delay at 6 months. A generalized linear mixed model (GLMM) with a hospital as a random intercept was used to assess the persistent postpartum depressive symptoms with an IYCD score. Linear regression was used to compare the IYCD scores between exposure groups. Results In the study population, 7.5% of mothers had persistent depressive symptoms, and 7.5% of infants had neurodevelopmental delay. Infants born to mothers with persistent depressive symptoms had a higher proportion of neurodevelopmental delay than infants born to women without persistent symptoms (48.6% vs 5.1%; p  < 0.001). In the adjusted regression model, infants whose mothers had persistent depressive symptoms at 7, 45, and 90 days had a 5.21-fold increased risk of neurodevelopmental delay (aRR, 5.21; 95% CI, 3.17, 8.55). Mean scores in the motor domain (12.7 vs 15.2; p  < 0.001) and language domain (6.4 vs 8.5; p  < 0.001) were significant when a mother had persistent depression vs. no depression. Mean scores in the general behavioral domain (5.9 vs 10.4, p  < 0.001) and the socio-emotional domain (15.4 vs 17.7; p  < 0.001) were significantly different when a mother had persistent depression vs no persistent depression. Conclusions Our results suggest that 6-month-old infants are at higher risk for neurodevelopment delays if their mother reports persistent symptoms of depression from 7 to 90 days postpartum. The neurodevelopmental delay can be observed in all functional domains. Preventive intervention to reduce maternal postpartum depression may reduce the impact on infant developmental delay.

Data from the 2007 National Survey of Children’s Health are used to develop an index of positive child well-being that has several innovative and important characteristics. It distinguishes child well-being from contexts of child development; it is built with rich micro-data (rather than population-level macro-data) to create unique measures of well-being for individual children; and it focuses on positive, rather than negative, aspects of development. These data can be aggregated to provide a perspective on the proportions of children in the population who are doing well on all, some, or no developmental domains. Based on child development theory and research, the index is constructed within a framework of four conceptually distinct developmental domains, each of which is comprised of three sub-domains. The index distinguishes among children in predicted directions, by poverty level and parental education. White children tend to do better than Hispanic or black children in all domains, though neither minority subgroup is consistently better or worse off than the other subgroup. Girls score slightly higher than boys on the index. About three in four children score positively on three or four domains. The index provides a composite, multidimensional view of positive child well-being that can be useful to researchers and policy analysts, and which addresses some weaknesses of other similar indices.

Background Inadequate cognitive and socio-emotional development in children leads to physical and mental illness. We aimed to investigate the status of early childhood development (ECD) and its associated factors. Additionally, aimed to compare the changes of significantly associated factors using two multiple indicator cluster surveys (MICS) in Bangladesh. Methods We used data from the Multiple Indicator Cluster Surveys (MICS) 2012 and 2019 nationally representative surveys. A total of 17,494 children aged 36–59 months were included in the analysis. The outcome variable was ECD status: either developmentally on-track or not. We used bivariable analysis and crude and adjusted multivariable logistic models to assess the ECD status and its associated factors. Results Comparing both MICS surveys, the overall and individual domains of ECD status improved from 2012 (65.46%) to 2019 (74.86%), and the indicators of child literacy-numeracy domain improved from 21.2 to 28.8%, physical domain improved from 92.2 to 98.4%, and social-emotional domain improved from 68.4 to 72.7%. The learning approach domain was 87.5% in 2012 and increased to 91.4% in 2019. According to the adjusted logistic model in both surveys (2012 and 2019), the age of 4 years had an adjusted odds ratio (AOR) of 1.61 and 1.78 times higher developmentally on track than the age of 3. Female children were 1.42 (in 2012) and 1.44 (in 2019) times more developmentally on track than males. Compared to mothers with only primary education, children raised by mothers with secondary or higher education were 1.77 and 1.50 times more on track in their development. Moreover, Children from affluent families had 1.32- and 1.26 times higher odds- on track than those from the poorest families. Families with books had 1.50 and 1.53 times higher developmentally on track than their counterparts. Conclusion and recommendation In summary, our study shows that the overall ECD status improved between MICS 2012 and MICS 2019. Important factors influence ECD status, including early childhood education programs, families’ possession of children’s books, mothers’ educational level, and wealth index. The findings of our study will help making necessary public health-related initiatives in Bangladesh to improve ECD program.

Differential susceptibility theory stipulates that some children are more susceptible than others to both supportive and adverse developmental experiences/exposures. What remains unclear is whether the same individuals are most affected by different exposures (i.e., domain general vs. specific). We address this issue empirically for the first time using, for illustrative and proof-of-principle purposes, a novel influence-statistics’ method with data from the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care. Results indicated that previously documented effects of greater quality of care on enhanced pre-academic skills and greater quantity of care on more behavior problems apply mostly to different children. Analyses validating the new method indicated, as predicted, that (a) the quantity-of-care effect applied principally to children from more socioeconomically advantaged families and that (b) being highly susceptible to both, one or neither childcare effect varied as a function of a three-gene, polygenic-plasticity score (serotonin transporter linked polymorphic region [5-HTTLPR], dopamine receptor D4 [DRD4], brain-derived neurotrophic factor [BDNF]) in a dose–response manner (i.e., 2>1>0). While domain-specific findings involving child-care effects cannot be generalized to other environmental influences, the influence-statistics’ approach appears well suited for investigating the generality–specificity of environment effects, that is, of “differential, differential susceptibility.”

PurposeA vast amount of studies suggest that internalizing or externalizing problems are related to individual functioning, and often co-occur. Yet, a focus on their additive and interactive effects is scarce. Furthermore, most research has focused on a limited number of developmental domains and mostly on maladaptive functioning. Therefore, the current prospective study examined whether early childhood (ages 4–8) internalizing and externalizing problems and their interaction were related to a broad range of (mal)adaptive functioning outcomes in emerging adulthood (ages 20–24).MethodsData from the Flemish Study on Parenting, Personality and Development were used. At Time 1 (1999) mothers of 374 children (45% boys) and fathers of 357 children (46% boys) rated internalizing and externalizing problems through the Child Behavior Checklist. Outcomes in emerging adulthood were measured through self-reports 16 years later across the following domains: psychological functioning, social functioning, work, physical health, and self-concept.ResultsEarly externalizing problems were related to maladaptive outcomes on the psychological and social domains. With regard to adaptive functioning, externalizing problems were associated with lower satisfaction regarding general health on the physical domain. Early internalizing problems were not associated with any emerging adulthood outcomes. The interaction of (father reported) internalizing and externalizing problems was related to aggressive behavior.ConclusionEarly childhood externalizing problems were associated with maladaptive and adaptive functioning over a time span of 16 years. The results add to studies on the implementation of prevention and intervention programs in early childhood and to the value for developing personalized interventions.

Globally, a growing number of children and adolescents are left behind when parents migrate. We investigated the effect of parental migration on the health of left behind-children and adolescents in low-income and middle-income countries (LMICs). For this systematic review and meta-analysis we searched MEDLINE, Embase, CINAHL, the Cochrane Library, Web of Science, PsychINFO, Global Index Medicus, Scopus, and Popline from inception to April 27, 2017, without language restrictions, for observational studies investigating the effects of parental migration on nutrition, mental health, unintentional injuries, infectious disease, substance use, unprotected sex, early pregnancy, and abuse in left-behind children (aged 0–19 years) in LMICs. We excluded studies in which less than 50% of participants were aged 0–19 years, the mean or median age of participants was more than 19 years, fewer than 50% of parents had migrated for more than 6 months, or the mean or median duration of migration was less than 6 months. We screened studies using systematic review software and extracted summary estimates from published reports independently. The main outcomes were risk and prevalence of health outcomes, including nutrition (stunting, wasting, underweight, overweight and obesity, low birthweight, and anaemia), mental health (depressive disorder, anxiety disorder, conduct disorders, self-harm, and suicide), unintentional injuries, substance use, abuse, and infectious disease. We calculated pooled risk ratios (RRs) and standardised mean differences (SMDs) using random-effects models. This study is registered with PROSPERO, number CRD42017064871. Our search identified 10 284 records, of which 111 studies were included for analysis, including a total of 264 967 children (n=106 167 left-behind children and adolescents; n=158 800 children and adolescents of non-migrant parents). 91 studies were done in China and focused on effects of internal labour migration. Compared with children of non-migrants, left-behind children had increased risk of depression and higher depression scores (RR 1·52 [95% CI 1·27–1·82]; SMD 0·16 [0·10–0·21]), anxiety (RR 1·85 [1·36–2·53]; SMD 0·18 [0·11–0·26]), suicidal ideation (RR 1·70 [1·28–2·26]), conduct disorder (SMD 0·16 [0·04–0·28]), substance use (RR 1·24 [1·00–1·52]), wasting (RR 1·13 [1·02–1·24]) and stunting (RR 1·12 [1·00–1·26]). No differences were identified between left-behind children and children of non-migrants for other nutrition outcomes, unintentional injury, abuse, or diarrhoea. No studies reported outcomes for other infectious diseases, self-harm, unprotected sex, or early pregnancy. Study quality varied across the included studies, with 43% of studies at high or unclear risk of bias across five or more domains. Parental migration is detrimental to the health of left-behind children and adolescents, with no evidence of any benefit. Policy makers and health-care professionals need to take action to improve the health of these young people. Wellcome Trust.

This study focused on generality versus specificity of susceptibility of effects of eight family and child-care exposures measured between 3 and 54 months of age (e.g., sensitive parenting, child-care quality) on five child development outcomes assessed at age 4.5 years (e.g. behavior problems, preacademic skill), using data from The National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development (n = 1,364, boys = 705; White = 1,097, Black = 176, other = 91), while applying a novel influence-statistics method. Results indicated that susceptibility across the environment-predictor:child-outcome associations is normally rather than bimodally (i.e., orchid–dandelion) distributed. Analysis of susceptibility documents both domain generality and specificity of developmental plasticity, with effect sizes proving small in the former case. As predicted, children who as infants had difficult temperaments or who scored higher on a polygenic-plasticity score (serotonin-transporter-linked promoter region [5-HTTLPR], dopamine receptor D4 [DRD4], brain-derived neurotrophic factor [BDNF]) proved somewhat more susceptible to some of the environmental effects investigated. Results lead to the recommendation that two-types-of-individuals vis-a-vis susceptibility to environmental influences be questioned and general-trait conceptions of susceptibility be further investigated.

Background Research has shown that longer hours of screen time are negatively associated with children’s healthy development. Whereas most research has focused on school-age children, less is known about this association in early childhood. To fill this gap, we examined the association between screen time and developmental health in preschool-aged children. Methods This study draws from a data linkage on children ( N = 2983; Mean age = 5.2, SD = 0.3 years, 51% male) in British Columbia (BC), Canada, who entered Kindergarten in public elementary schools in 2019. Parent reports on children’s screen time, health behaviors, demographics, and family income collected upon kindergarten entry (09/2019), were linked to teacher reports on children’s developmental health, collected halfway through the school year (02/2020). Screen time was assessed with the Childhood Experiences Questionnaire. Developmental vulnerability versus developmental health in five domains (physical, social, emotional, language and cognition, and communication skills) was measured with the Early Development Instrument. Results Logistic regression analyses using generalized estimating equation showed that children with more than one hour of daily screen time were more likely to be vulnerable in all five developmental health domains: physical health and wellbeing (odds ratio [ OR ] =1.41; 95% confidence interval [CI], 0.99 - 2.0; p= 0.058), social competence ( OR= 1.60; 95% CI, 1.16 – 2.2; p= 0.004), emotional maturity ( OR= 1.29; 95% CI, 0.96 - 1.73; p= 0.097), language and cognitive development ( OR= 1.81; 95% CI, 1.19 - 2.74; p= 0.006) and communication skills ( OR= 1.60; 95% CI, 1.1 – 2.34; p= 0.015) compared to children reporting up to one hour of screen time/day. An interaction effect between income and screen time on developmental health outcomes was non-significant. Results were adjusted for child demographics, family income, and other health behaviors. Conclusions Daily screen time that exceeds the recommended one-hour limit for young children, as suggested by the Canadian 24-h Movement Guidelines for Children and Youth (Tremblay et al. BMC Public Health. 17:874, 2017; Tremblay J Physical Activity Health. 17:92–5, 2020) is negatively associated with developmental health outcomes in early childhood. Screen-based activities should thus be limited for young children. Future research needs to examine the underlying mechanisms through which screen time is linked to developmental vulnerabilities.

How individual differences in brain network organization track behavioral variability is a fundamental question in systems neuroscience. Recent work suggests that resting-state and task-state functional connectivity can predict specific traits at the individual level. However, most studies focus on single behavioral traits, thus not capturing broader relationships across behaviors. In a large sample of 1858 typically developing children from the Adolescent Brain Cognitive Development (ABCD) study, we show that predictive network features are distinct across the domains of cognitive performance, personality scores and mental health assessments. On the other hand, traits within each behavioral domain are predicted by similar network features. Predictive network features and models generalize to other behavioral measures within the same behavioral domain. Although tasks are known to modulate the functional connectome, predictive network features are similar between resting and task states. Overall, our findings reveal shared brain network features that account for individual variation within broad domains of behavior in childhood. Here, the authors use data from the Adolescent Brain Cognitive Development study to show how individual variation in cognition, personality and mental health can be predicted by shared and unique brain network features.