normative data in childhood

A longstanding proposal in developmental research is that childhood family experiences provide a template that shapes a capacity for trust-based social relationships. We leveraged longitudinal data from a cohort of healthy adolescents (n = 570, aged 14-25), which included decision-making and psychometric data, to characterise normative developmental trajectories of trust behaviour and inter-individual differences therein. Extending on previous cross-sectional findings from the same cohort, we show that a task-based measure of trust increases longitudinally from adolescence into young adulthood...

BACKGROUND: This study explored the influence of social norms on the access and utilization of sexual and reproductive health services by adolescents. Apart from individual and environmental barriers, social norms influence contraceptive decisions and ultimately sexual and reproductive health outcomes. Social norms that shape group behavior describe acceptable standards of behavior and evoke sanctions when such behavior standards are not adhered to. Sexually active adolescents in Nigeria have a relatively low level of modern contraceptive use being influenced by social norms...

OBJECTIVES: Blood biomarkers have the potential to transform diagnosis and prognosis for multiple neurological indications. Establishing normative data is a critical benchmark in the analytical validation process. Normative data are important in children as little is known about how brain development may impact potential biomarkers. The objective of this study is to generate pediatric reference intervals (RIs) for serum neurofilament light (NfL), an axonal marker, and glial fibrillary acidic protein (GFAP), an astrocytic marker...

BACKGROUND: Deaf and hard-of hearing (DHH) children often experience emotional/behavioral difficulties. The impact of unilateral/mild hearing loss (HL) on children's emotion and behavior are unclear. We aimed to describe emotional/behavioral, health related quality-of-life (HRQoL) and parent psychological distress outcomes of school-age children with unilateral/mild HL, compared to children with moderate to profound HL, and in relation to population norms; and identify predictive factors of emotional/behavioral difficulties...

Exposure to community and individual level stressors during adolescence has been reported to be associated with increased substance use. However, it remains unclear what the relative contribution of different community- and individual-level factors play when alcohol and marijuana use become more prevalent during late adolescence. The present study uses a large longitudinal sample of adolescents (Wave 1: N = 2017; 55% Female; 54.5% White, 22.3% Black, 8% Hispanic, 15% other) to evaluate the association and potential interactions between community- and individual-level factors and substance use from adolescence to young adulthood (Wave 1 to Wave 3 Age Mean [SD] : 16...

We investigated the developmental changes in high-frequency oscillation (HFO) and Modulation Index (MI) - the coupling measure between HFO and slow-wave phase. We generated normative brain atlases, using subdural EEG signals from 8251 nonepileptic electrode sites in 114 patients (ages 1.0-41.5 years) who achieved seizure control following resective epilepsy surgery. We observed a higher MI in the occipital lobe across all ages, and occipital MI increased notably during early childhood. The cortical areas exhibiting MI co-growth were connected via the vertical occipital fasciculi and posterior callosal fibers...

Characterizing how, when and where the human brain changes across the lifespan is fundamental to our understanding of developmental processes of childhood and adolescence, degenerative processes of aging, and divergence from normal patterns in disease and disorders. We aimed to provide detailed descriptions of white matter pathways across the lifespan by thoroughly characterizing white matter microstructure , white matter macrostructure , and morphology of the cortex associated with white matter pathways. We analyzed 4 large, high-quality, publicly-available datasets comprising 2789 total imaging sessions, and participants ranging from 0 to 100 years old, using advanced tractography and diffusion modeling...

AIM: To quantify the impact of prematurity on chromatic discrimination throughout childhood, from 2 to 15 years of age. METHODS: We recruited two cohorts of children, as part of the TrackAI Project, an international project with seven different study sites: a control group of full-term children with normal visual development and a group of children born prematurely. All children underwent a complete ophthalmological exam and an assessment of colour discrimination along the three colour axes: deutan, protan and trytan using a DIVE device with eye tracking technology...

Developmental delays in cognitive flexibility early in elementary school can potentially increase vulnerability for subsequent externalizing and internalizing psychopathology. The first goal of the current study was to identify latent subgroups of children characterized by different developmental trajectories of cognitive flexibility throughout kindergarten and first grade using data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011 dataset. The second goal was to examine whether identified longitudinal developmental trajectories of cognitive flexibility could be associated with internalizing and externalizing behaviors in the second grade, while accounting for background child (age, gender, and Spanish-speaking) and family (family income and mother's education) covariates...

This study had two aims. Aim one investigated achievement of 10 developmental milestones in children with Bardet-Biedl syndrome (BBS). Aim one data were derived from retrospective responses by caregivers of individuals with BBS who are enrolled in the Clinical Registry Investigating Bardet-Biedl syndrome (CRIBBS). CRIBBS is a natural history registry acquiring serial observations. Aim two investigated early adaptive skills using the Adaptive Behavior Assessment System (ABAS-II 0-5) completed by caregivers of children with BBS aged from 0 to 5...

BACKGROUND: Body composition during childhood may predispose to negative health outcomes later in life. Automatic segmentation may assist in quantifying pediatric body composition in children. OBJECTIVE: To evaluate automatic segmentation for body composition on pediatric computed tomography (CT) scans and to provide normative data on muscle and fat areas throughout childhood using automatic segmentation. MATERIALS AND METHODS: In this pilot study, 537 children (ages 1-17 years) who underwent abdominal CT after high-energy trauma at a Dutch tertiary center (2002-2019) were retrospectively identified...

Norm scores are an essential source of information in individual diagnostics. Given the scope of the decisions this information may entail, establishing high-quality, representative norms is of tremendous importance in test construction. Representativeness is difficult to establish, though, especially with limited resources and when multiple stratification variables and their joint probabilities come into play. Sample stratification requires knowing which stratum an individual belongs to prior to data collection, but the required variables for the individual's classification, such as socio-economic status or demographic characteristics, are often collected within the survey or test data...

BACKGROUND: Body composition assessment aids evaluation of energy stores and the impact of diseases and interventions on child growth. Current U.S. pediatric reference ranges from the National Health and Nutrition Examination Survey (NHANES) include 20% of children with obesity, BMI ≥95th percentile. OBJECTIVE: To develop dual energy x-ray absorptiometry (DXA) based reference ranges in a diverse cohort with low obesity prevalence from the Bone Mineral Density in Childhood Study (BMDCS)...

BACKGROUND AND PURPOSE: Signal analysis of FLAIR sequences is gaining momentum for studying neurodevelopment and brain maturation, but FLAIR intensity varies across scanners and needs to be normalized. This study aimed to establish normative values for standardized FLAIR intensity in the pediatric brain. MATERIALS AND METHODS: A new automated algorithm for signal normalization was used to standardize FLAIR intensity across scanners and subjects. Mean intensity was extracted from GM, WM, deep GM, and cortical GM regions...

Introduction: Rubinstein-Taybi syndrome (RSTS) is a rare congenital disorder characterized by developmental and intellectual disability, broadening of thumbs and halluces, and characteristic facial features. Pathogenic variants in CREBBP lead to RSTS type 1 (RSTS1) and in EP300 lead to RSTS type 2 (RSTS2). Individuals with RSTS can demonstrate a variety of behavioral and neuropsychiatric challenges, including anxiety, hyperactivity/inattention, self-injury, repetitive behaviors, and aggression. Behavioral challenges are consistently reported as one of the primary factors impacting quality of life...

Patients with pediatric brain tumor (PBT) can have memory deficits due to tumor location, medical complications, and treatment. The main objective of this study was to investigate whether the California Verbal Learning Test-Children's Version (CVLT-C; 1994) and briefer Child and Adolescent Memory Profile (ChAMP; 2015) similarly identify such deficits. Seventy-five patients with PBT ages 8-16 (<mml:math xmlns:mml="https://www.w3.org/1998/Math/MathML"><mml:mover><mml:mrow><mml:mi>x</mml:mi></mml:mrow><mml:mo>‾</mml:mo></mml:mover></mml:math> = 13...

BACKGROUND: The transition from childhood to adolescence is characterised by enhanced neural plasticity and a consequent susceptibility to both beneficial and adverse aspects of one's milieu. METHODS: To understand the implications of the interplay between protective and risk-enhancing factors, we analysed longitudinal data from the Adolescent Brain and Cognitive Development study (N = 834; 394 female). We probed the maturational correlates of positive lifestyle variables (friendships, parental warmth, school engagement, physical exercise, healthy nutrition) and of genetic vulnerability to neuropsychiatric disorders (Major Depressive Disorder, Alzheimer's Disease, Anxiety Disorders, Bipolar Disorder, Schizophrenia), and further sought to elucidate their implications for psychological well-being...

Objectives: Secular trends in body height have been proved indicative of socio-economic development of a country or a region, as well as of childhood and adolescent (mal)nutrition. Being taller has been associated with enhanced longevity, with several body height related factors involved. While basic anthropometric measurements, including body height, have long been performed in developed societies, primarily in men and children, far less data are available for adults and women in particular. The aim of the present cross-sectional study was to collect basic anthropometric data related to the assessment of nutritional status of adult population, both men and women, to establish normative anthropometric data, and provide intergenerational analysis for height, body mass, and body mass index (BMI) of adults of both genders...

UNLABELLED: Childhood and adolescence are crucial periods for healthy bone development throughout life. This study aims to establish normative data for trabecular bone score (TBS) and bone mineral density (BMD) measurements using dual-energy X-ray absorptiometry (DXA) in healthy Brazilian children and adolescents. PURPOSE: To establish normative data for trabecular bone score (TBS) and bone mineral density (BMD) measurements using dual energy X-ray absorptiometry (DXA) in healthy Brazilian children and adolescents...

OBJECTIVE: Childhood hearing loss has well-known, lifelong consequences. Infection-related hearing loss disproportionately affects underserved communities yet can be prevented with early identification and treatment. This study evaluates the utility of machine learning in automating tympanogram classifications of the middle ear to facilitate layperson-guided tympanometry in resource-constrained communities. DESIGN: Diagnostic performance of a hybrid deep learning model for classifying narrow-band tympanometry tracings was evaluated...