Effects of the physical and social environment on youth cognitive performance

The effect of early childhood stature on later cognitive functions in Indonesian adolescents: comparation using the National growth reference and the WHO growth standard

BACKGROUND

The prevalence of short stature in children under 5 using the National Growth Reference vs. the WHO Growth Standard is known to vary in many countries. Previous research has suggested possible associations between short stature early in childhood, frequently regarded as stunting, and later cognitive function.

OBJECTIVE

This study aimed to identify the effect of early childhood stature, using the National Indonesian Growth Chart (NIGC) vs. the WHO Growth Standard (WHO), on cognitive function in adolescence.

METHODS

The study used two cohort data from the Indonesia Family Life Surveys (IFLS) that had both anthropometric data at the age of 2-5 years and at adolescence, as well as information on cognitive function at adolescence. At the age of 2-5 years, the height-for-age Z-score (HAZ) of the subjects were classified using both NIGC and WHO as follows: Normal NIGC & Normal WHO; Normal NIGC & Short WHO; and Short NIGC & Short WHO. In adolescence, cognitive function were assessed. An analysis was performed to assess the associations between variables.

RESULTS

Cohort-1 included 866 subjects with complete information, while Cohort-2 included 1,436 subjects. After adjustment, subjects aged 2 to 5 years classified as Short NIGC & Short WHO had a consistent significantly negative effect on their later adolescent cognitive function: coefficient regression (95%CI): -2.82 {(-5.58)-(-0.06), p = 0.046}for Cohort-1 and - 4.13 {(-7.22)-(-1.04), p = 0.009} for Cohort-2. On the other hand, those classified as Short for WHO but Normal for NIGC were not associated with later negative cognitive function: coefficient regression (95%CI): -1.88 {(-4.00)- 0.24, p = 0.082} for Cohort-1 and - 1.32 {(-3.50)-0.87, p = 0.237} for Cohort-2. Cognitive function of both cohorts was also significantly influenced by the subjects' education, parental education and resicence in urban and Java-Bali (p < 0.05).

CONCLUSIONS

Childhood stature was associated with later negative cognitive function only when the children were classified as short using NIGC. Classified as short stature using WHO, but not short using NIGC, was not associated with later negative cognitive function.

CLINICAL TRIAL NUMBER

Not applicable.

The ecology of poverty and children's brain development: A systematic review and quantitative meta-analysis of brain imaging studies

A growing number of studies have demonstrated associations between poverty and brain structure and function. However, the strength of this association and the effects of poverty level (e.g., family or neighborhood poverty), age and sex on the association are strikingly inconsistent across studies. We aimed to synthesize findings on gray matter volume and task-based brain activation associated with poverty in youth samples and disentangle the effects of poverty level, age, and sex. In general, poverty was associated with alterations in volume and activation in the frontal, temporal, and subcortical regions. Among 14,188 participants and 14,057 participants, poverty was associated with smaller gray matter volumes in the amygdala and hippocampus, respectively. Moderator testing revealed that family poverty had a stronger association than neighborhood poverty and that poverty was related to slower development of amygdala volume. Among 2696 participants, convergent functional alterations associated with poverty were observed in the left middle temporal gyrus (MTG) and left middle frontal gyrus across all task domains, with the percentage of girls positively associated with increased activation in the precuneus. Subgroup analyses revealed that greater poverty was associated with deactivation in the left MTG for top-down control and hyperactivity in the right superior temporal gyrus, left superior frontal gyrus, left insula, cerebellum/left fusiform gyrus, and left amygdala/hippocampus for bottom-up processing. These findings provide insights into the neuroscience of poverty, suggesting implications for targeted interventions to support the cognitive and mental health of children living in poverty.

Functional Brain Connectivity Predictors of Prospective Substance Use Initiation and Their Environmental Correlates

BACKGROUND

Early substance use initiation (SUI) places youth at substantially higher risk for later substance use disorders. Furthermore, adolescence is a critical period for the maturation of brain networks, the pace and magnitude of which are susceptible to environmental influences and may shape risk for SUI.

METHODS

We examined whether patterns of functional brain connectivity during rest (rsFC), measured longitudinally during pre- and early adolescence, can predict future SUI. Next, in an independent subsample, we tested whether these patterns were associated with earlier environmental exposures, specifically neighborhood pollution and socioeconomic dimensions. We utilized data from the ABCD (Adolescent Brain Cognitive Development) Study. SUI was defined as first-time use of at least 1 full dose of alcohol, nicotine, cannabis, or other drugs. We created a control group (n = 228) of participants without SUI who were matched to the SUI group (n = 233) on age, sex, race/ethnicity, household income, and parental education.

RESULTS

Multivariate analysis showed that whole-brain rsFC from 9-10 to 11-12 years of age (prior to SUI) prospectively differentiated the SUI and control groups. The SUI-related rsFC pattern was also related to aging in both groups, suggesting a pattern of accelerated maturation in the years prior to SUI. This same pattern of rsFC was predicted by higher pollution but not neighborhood disadvantage (adjusted for family socioeconomic factors) in an independent subsample (n = 2854).

CONCLUSIONS

Brain functional connectivity patterns in early adolescence that are linked to accelerated maturation can predict SUI in youth and are associated with exposure to pollution.

Analysis of Cognitive Levels and Influencing Factors in Children with Obstructive Sleep Apnea

BACKGROUND

Obstructive sleep apnea (OSA) in children is prevalent worldwide and affects their physiological, psychological, and cognitive functions. However, the research on OSA's impact on children's cognitive function remains inconclusive. This study aims to analyze the cognitive levels and influencing factors in children with OSA in a single-center study in China.

METHODS

We selected 110 children with OSA who visited the Department of Otorhinolaryngology, Head and Neck Surgery at the Children's Hospital of Zhejiang University School of Medicine from March 2023 to April 2024. Cognitive function was assessed using the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), and data on the OAHI, BMI, lowest blood oxygen saturation, and tonsillar hypertrophy were collected. A correlation analysis was performed using SPSS Statistics 26.0.

RESULTS

The mean WISC-IV score of the children with OSA was 102.32, within the normal range. Gender and tonsillar grade had no significant effect on the cognitive levels. The BMI scores were significantly negatively correlated with verbal comprehension. The OAHI was weakly negatively correlated with perceptual reasoning but not with other cognitive dimensions.

CONCLUSIONS

OSA may negatively affect specific cognitive domains in children, particularly perceptual reasoning and working memory. The BMI is a crucial factor influencing cognitive function in children with OSA. Future research should increase the sample size, include more variables, and conduct long-term follow-ups to comprehensively evaluate the influencing factors of OSA on children's cognitive function.

Parent-teacher relationship and students' learning engagement in China: A longitudinal study considering urban-suburban differences

BACKGROUND

The importance of parent-teacher relationships has been well-discussed in Western contexts. It's still unclear whether and how parent-teacher relationships affect students' academic development, especially in the context of China's uneven development between urban and suburban areas.

AIMS

This study examined the urban-suburban differences in the influence of the parent-teacher relationships on students' learning engagement during the last 3 years of primary school to contribute to related policy and practice.

SAMPLE AND METHODS

Data were collected annually during the summer period in three waves from Grades 4 to 6. The sample included 1408 students (Mage = 10.35, SD = .48; 49.1% boys) paired with their mothers (Mage = 38.82, SD = 3.54), with 643 pairs from urban areas and 765 pairs from suburban areas in China. In each wave, the parents reported the frequency of contact with their child's teacher during the previous school year as well as the quality of their relationship, and the students reported their learning engagement. Latent growth models were used to examine the hypotheses.

RESULTS

A statistically significant decline in learning engagement was seen only in suburban students, while the parent-teacher relationships seemed to increase for both suburban and urban participants. Latent growth modelling showed that the increasing levels of relationship quality reduced the decline in the suburban students' learning engagement, although the contact between parents and teachers did not play such a positive role for both urban and suburban students.

CONCLUSIONS

The findings reveal a compensatory effect of the quality of the parent-teacher relationship on suburban students' learning engagement. Considering the difference in students' learning engagement between urban and suburban students, increased effort on high-quality parent-teacher relationships for suburban students is required to better support their academic development.

Functional brain connectivity predictors of prospective substance use initiation and their environmental correlates

Background

Early substance use initiation (SUI) places youth at substantially higher risk for later substance use disorders. Furthermore, adolescence is a critical period for the maturation of brain networks, the pace and magnitude of which are susceptible to environmental influences and may shape risk for SUI.

Methods

We examined whether patterns of functional brain connectivity during rest (rsFC), measured longitudinally in pre-and-early adolescence, can predict future SUI. In an independent sub-sample, we also tested whether these patterns are associated with key environmental factors, specifically neighborhood pollution and socioeconomic dimensions. We utilized data from the Adolescent Brain Cognitive Development (ABCD) Study®. SUI was defined as first-time use of at least one full dose of alcohol, nicotine, cannabis, or other drugs. We created a control group (N = 228) of participants without SUI who were matched with the SUI group (N = 233) on age, sex, race/ethnicity, and parental income and education.

Results

Multivariate analysis showed that whole-brain rsFC prior to SUI during 9-10 and 11-12 years of age successfully differentiated the prospective SUI and control groups. This rsFC signature was expressed more at older ages in both groups, suggesting a pattern of accelerated maturation in the SUI group in the years prior to SUI. In an independent sub-sample (N = 2,854) and adjusted for family socioeconomic factors, expression of this rsFC pattern was associated with higher pollution, but not neighborhood disadvantage.

Conclusion

Brain functional connectivity patterns in early adolescence that are linked to accelerated maturation and environmental exposures can predict future SUI in youth.

Recommendations for the responsible use and communication of race and ethnicity in neuroimaging research

The growing availability of large-population human biomedical datasets provides researchers with unique opportunities to conduct rigorous and impactful studies on brain and behavioral development, allowing for a more comprehensive understanding of neurodevelopment in diverse populations. However, the patterns observed in these datasets are more likely to be influenced by upstream structural inequities (that is, structural racism), which can lead to health disparities based on race, ethnicity and social class. This paper addresses the need for guidance and self-reflection in biomedical research on conceptualizing, contextualizing and communicating issues related to race and ethnicity. We provide recommendations as a starting point for researchers to rethink race and ethnicity choices in study design, model specification, statistical analysis and communication of results, implement practices to avoid the further stigmatization of historically minoritized groups, and engage in research practices that counteract existing harmful biases.

A general exposome factor explains individual differences in functional brain network topography and cognition in youth

Childhood environments are critical in shaping cognitive neurodevelopment. With the increasing availability of large-scale neuroimaging datasets with deep phenotyping of childhood environments, we can now build upon prior studies that have considered relationships between one or a handful of environmental and neuroimaging features at a time. Here, we characterize the combined effects of hundreds of inter-connected and co-occurring features of a child's environment ("exposome") and investigate associations with each child's unique, multidimensional pattern of functional brain network organization ("functional topography") and cognition. We apply data-driven computational models to measure the exposome and define personalized functional brain networks in pre-registered analyses. Across matched discovery (n=5139, 48.5% female) and replication (n=5137, 47.1% female) samples from the Adolescent Brain Cognitive Development study, the exposome was associated with current (ages 9-10) and future (ages 11-12) cognition. Changes in the exposome were also associated with changes in cognition after accounting for baseline scores. Cross-validated ridge regressions revealed that the exposome is reflected in functional topography and can predict performance across cognitive domains. Importantly, a single measure capturing a child's exposome could more accurately and parsimoniously predict cognition than a wealth of personalized neuroimaging data, highlighting the importance of children's complex, multidimensional environments in cognitive neurodevelopment.

Caregiver monitoring, but not caregiver warmth, is associated with general cognition in two large sub-samples of youth

Individual differences in cognitive abilities emerge early during development, and children with poorer cognition are at increased risk for adverse outcomes as they enter adolescence. Caregiving plays an important role in supporting cognitive development, yet it remains unclear how specific types of caregiving behaviors may shape cognition, highlighting the need for large-scale studies. In the present study, we characterized replicable yet specific associations between caregiving behaviors and cognition in two large sub-samples of children ages 9-10 years old from the Adolescent Brain Cognitive Development Study® (ABCD). Across both discovery and replication sub-samples, we found that child reports of caregiver monitoring (supervision or regular knowledge of the child's whereabouts) were positively associated with general cognition abilities, after covarying for age, sex, household income, neighborhood deprivation, and parental education. This association was specific to the type of caregiving behavior (caregiver monitoring, but not caregiver warmth), and was most strongly associated with a broad domain of general cognition (but not executive function or learning/memory). Additionally, we found that caregiver monitoring partially mediated the association between household income and cognition, furthering our understanding of how socioeconomic disparities may contribute to disadvantages in cognitive development. Together, these findings underscore the influence of differences in caregiving behavior in shaping youth cognition. RESEARCH HIGHLIGHTS: Caregiver monitoring, but not caregiver warmth, is associated with cognitive performance in youth Caregiver monitoring partially mediates the association between household income and cognition Results replicated across two large matched samples from the Adolescent Brain Cognitive Development Study® (ABCD).

Executive Network Activation Moderates the Association between Neighborhood Threats and Externalizing Behavior in Youth

Neighborhood threats can increase risk for externalizing problems, including aggressive, oppositional, and delinquent behavior. Yet, there is substantial variability in how youth respond to neighborhood threats. Difficulty with cognitive functioning, particularly in the face of emotional information, may increase risk for externalizing in youth who live in neighborhoods with higher threats. However, little research has examined: 1) associations between neighborhood threats and executive networks involved in cognitive functioning or 2) whether executive networks may amplify risk for externalizing in the context of neighborhood threats. Further, most research on neighborhood threats does not account for youth's experiences in other social contexts. Utilizing the large, sociodemographically diverse cohort of youth (ages 9-10) included in the Adolescent Brain Cognitive Development^SM Study, we identified four latent profiles of youth based on threats in their neighborhoods, families, and schools: low threat in all contexts, elevated family threat, elevated neighborhood threat, and elevated threat in all contexts. The elevated neighborhood threat and elevated all threat profiles showed lower behavioral performance on an emotional n-back task relative to low threat and elevated family threat profiles. Lower behavioral performance in the elevated neighborhood threat profile specifically was paralleled by lower executive network activity during a cognitive challenge. Moreover, among youth with lower executive network activity, higher probability of membership in the elevated neighborhood threat profile was associated with higher externalizing. Together, these results provide evidence that interactions between threats that are concentrated in youth's neighborhoods and attenuated executive network function may contribute to risk for externalizing problems.

A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets

As the largest longitudinal study of adolescent brain development and behavior to date, the Adolescent Brain Cognitive Development (ABCD) Study® has provided immense opportunities for researchers across disciplines since its first data release in 2018. The size and scope of the study also present a number of hurdles, which range from becoming familiar with the study design and data structure to employing rigorous and reproducible analyses. The current paper is intended as a guide for researchers and reviewers working with ABCD data, highlighting the features of the data (and the strengths and limitations therein) as well as relevant analytical and methodological considerations. Additionally, we explore justice, equity, diversity, and inclusion efforts as they pertain to the ABCD Study and other large-scale datasets. In doing so, we hope to increase both accessibility of the ABCD Study and transparency within the field of developmental cognitive neuroscience.