Individual Growth Trajectories Research Articles

How public libraries reach out to adolescents: a study of adolescents’ perceptions of teen spaces1) in Korean public libraries

ABSTRACT Adolescence is a crucial period for developing abilities necessary for future success. This study focuses on Teen Spaces in public libraries as an environment where adolescents can develop diverse future visions tailored to their personalities. We aim to identify environmental planning factors that influence adolescents’ preference for Teen Spaces, to create dedicated spaces supporting healthy growth. A survey of 234 adolescents using public libraries was conducted to derive key environmental planning factors. Linear regression analysis revealed that “creativity support”, “amenity support”, and “learning support” significantly influenced adolescents’ preference for Teen Spaces. Interestingly, adolescents with prior experience of youth spaces were additionally influenced by “universal design support”, while those without experience were affected by “safety support”, “leisure support”, and “openness support”. The findings suggst that improving Teen Spaces in public libraries, considering these factors and the segmented characteristics of adolescents, can positively impact their growth and future development. This research contributes to ongoing efforts to create supportive environments for adolescents in public libraries, emphasizing the need for spaces that foster diverse future visions and support individual growth trajectories.

Utility of the social skills improvement system-rating scales for capturing dynamic social constructs: Evidence using the measurement model of derivatives.

Social skills are dynamic developmental constructs typically measured using assessments developed via cross-sectional methods. The measurement model of derivatives (MMOD), a factor analytic approach targeting individual growth trajectories, was used to evaluate the longitudinal factor structure of the Social Skills Improvement System-Rating Scales (SSIS-RS) teacher form with a sample of 1320 first and second grade students (51.6% female, 54.8% white, 20.6% Black, 14.4% Hispanic). Although results provided support for three of the original SSIS-RS factors (Assertion, Empathy, Self-Control), there was some evidence that the other four original domains (Cooperation, Responsibility, Engagement, Communication) could be explained by two factors in this age range. Implications for using the SSIS-RS and the utility of the MMOD in developmental research are discussed.

Colony context and size-dependent compensation mechanisms give rise to variations in nuclear growth trajectories.

To investigate the fundamental question of how cellular variations arise across spatiotemporal scales in a population of identical healthy cells, we focused on nuclear growth in hiPS cell colonies as a model system. We generated a 3D timelapse dataset of thousands of nuclei over multiple days, and developed open-source tools for image and data analysis and an interactive timelapse viewer for exploring quantitative features of nuclear size and shape. We performed a data-driven analysis of nuclear growth variations across timescales. We found that individual nuclear volume growth trajectories arise from short timescale variations attributable to their spatiotemporal context within the colony. We identified a strikingly time-invariant volume compensation relationship between nuclear growth duration and starting volume across the population. Notably, we discovered that inheritance plays a crucial role in determining these two key nuclear growth features while other growth features are determined by their spatiotemporal context and are not inherited.

Influence of Preterm Birth and Environmental Context on Academic Performance and Neurodevelopmental Outcomes.

Preterm birth affects 10% of all births annually in the United States. Outcomes of people born preterm are challenging to predict because of multiple influences, including gestational age, birth weight, and social and environmental contexts, that contribute to an individual's growth and developmental trajectory. The influence of toxic stress is underrepresented in the literature assessing preterm birth outcomes. The current analyses use the eco-bio-developmental model of poverty and preterm birth as a framework to model the pathways among toxic stress, preterm birth, and neurodevelopmental outcomes. Poverty and toxic stress were hypothesized to increase the risk for impaired neurodevelopmental and academic outcomes-both directly and indirectly. The analytic sample of 55,873 children aged 6-17 years was derived from the National Survey of Children's Health 2020-2021. Structural equation models with combined measurement and path models for each dependent variable were constructed using latent toxic stress variables. The structural path equations included direct paths from the latent measure of prenatal toxic stress, preterm birth status, and the latent measure of childhood toxic stress to the neurodevelopmental outcome, as well as an indirect, mediated path from prenatal toxic stress through preterm birth status to the outcome. Across models, higher levels of prenatal toxic stress were significantly associated with preterm birth and lower birth weight ranges. Preterm low birth weight status was associated with a greater likelihood of neurodevelopmental impairment, repeating a grade, and special education plans. The predicted probabilities of neurodevelopmental impairment, repeating grades, and special education plans are significantly higher with above-average levels of exposure to prenatal and childhood toxic stress. There is a need for prospective studies that assess predictors and outcomes of preterm birth that are stratified by gestational age and consider the timing, chronicity, and influence of toxic stress and environmental exposures. There is an imperative for public health programs and policies designed to support families, caregivers, and children to address the individual and structural social determinants of health that contribute to toxic stress, thereby increasing preterm birth rates and negatively affecting the outcomes of children born preterm.

Shark critical life stage vulnerability to monthly temperature variations under climate change

In a 10-month experimental study, we assessed the combined impact of warming and acidification on critical life stages of small-spotted catshark (Scyliorhinus canicula). Using recently developed frameworks, we disentangled individual and group responses to two climate scenarios projected for 2100 (SSP2-4.5: Middle of the road and SSP5-8.5: Fossil-fueled Development). Seasonal temperature fluctuations revealed the acute vulnerability of embryos to summer temperatures, with hatching success ranging from 82% for the control and SSP2-4.5 treatments to only 11% for the SSP5-8.5 treatment. The death of embryos was preceded by distinct individual growth trajectories between the treatments, and also revealed inter-individual variations within treatments. Embryos with the lowest hatching success had lower yolk consumption rates, and growth rates associated with a lower energy assimilation, and almost all of them failed to transition to internal gills. Within 6 months after hatching, no additional mortality was observed due to cooler temperatures.

Bridging colloidal and electrochemical syntheses of metal nanocrystals with seeded electrodeposition for tracking single nanocrystal growth.

Metal nanocrystals (NCs) produced by colloidal synthesis have a variety of structural features, such as different planes, edges, and defects. Even from the best colloidal syntheses, these characteristics are distributed differently in each NC. This inherent heterogeneity can play a significant role in the properties displayed by NCs. This manuscript reports the use of electrochemistry to synthesize Au NCs in a system evaluated to track individual NC growth trajectories as a first step toward rapid identification of NCs with different structural features. Au nanocubes were prepared colloidally and deposited onto a glassy carbon electrode using either electrospray or an airbrush, resulting in well-spaced Au nanocubes. The Au nanocubes then served as seeds as gold salt was reduced to deposit metal at constant potential. Deposition at constant potential facilitates overgrowth on the Au nanocubes to achieve new NC shapes. The effects of applied potential, deposition time, precursor concentration, and capping agents on NC shape evolution were studied. The outcomes are correlated to results from traditional colloidal syntheses, providing a bridge between the two synthetic strategies. Moreover, scanning electron microscopy was used to image the same NCs before and after deposition, linking individual seed features to differences in deposition. This ability is anticipated to enable tracking of individual growth trajectories of NCs to elucidate sources of heterogeneity in NC syntheses.

Modelling individual infancy growth trajectories to predict excessive gain in BMI z-score: a comparison of growth measures in the ABCD and GECKO Drenthe cohorts

BackgroundExcessive weight gain during childhood is a strong predictor for adult overweight, but it remains unknown which growth measures in infancy (0–2 years of age), besides predictors known at birth, are the strongest predictors for excessive weight gain between 2 and 5–7 years of age.MethodsThe Amsterdam Born Children and their Development (ABCD) study formed the derivation cohort, and the Groningen Expert Center for Kids with Obesity (GECKO) Drenthe study formed the validation cohort. Change (Δ) in body mass index (BMI) z-score between 2 and 5–7 years was the outcome of interest. The growth measures considered were weight, weight-for-length (WfL), and body mass index (BMI). Formats considered for each growth measure were values at 1, 6, 12, and 24 months, at the BMI peak, the change between aforementioned ages, and prepeak velocity. 10 model structures combining different variable formats and including predictors at birth were derived for each growth measure, resulting in 30 linear regression models. A Parsimonious Model considering all growth measures and a Birth Model considering none were also derived.ResultsThe derivation cohort consisted of 3139 infants of which 373 (11.9%) had excessive gain in BMI z-score (> 0.67). The validation cohort contained 2201 infants of which 592 (26.9%) had excessive gain. Across the 3 growth measures, 5 model structures which included measures related to the BMI peak and prepeak velocity (derivation cohort area under the curve [AUC] range = 0.765–0.855) achieved more accurate estimates than 3 model structures which included growth measure change over time (0.706–0.795). All model structures which used BMI were superior to those using weight or WfL. The AUC across all models was on average 0.126 lower in the validation cohort. The Parsimonious Model’s AUCs in the derivation and validation cohorts were 0.856 and 0.766, respectively, compared to 0.690 and 0.491, respectively, for the Birth Model. The respective false positive rates were 28.2% and 20.1% for the Parsimonious Model and 70.0% and 74.6% for the Birth Model.ConclusionModels’ performances varied significantly across model structures and growth measures. Developing the optimal model requires extensive testing of the many possibilities.

Processing Speed throughout Primary School Education: Evidence from a Cross-Country Longitudinal Study.

This cross-country four-year longitudinal study investigated the development of processing speed throughout primary school education. The analyses were conducted on data accumulated from 441 pupils in grades from 1 to 4 (aged 6.42 to 11.85 years) in Kyrgyzstan and Russia. Mixed effects growth modeling was applied to estimate average and individual growth trajectories for processing speed in two cross-country samples. Latent class growth modeling was conducted to describe various types of growth trajectories for processing speed and to compare the distribution of the types within the analyzed samples. According to the results, processing speed significantly increases across primary school years. The trajectory is described by nonlinear changes with most dynamic growth between grades 1 and 2, which slows down until grade 4. No significant cross-country differences were found in the initial score of processing speed or developmental changes in processing speed across primary school years. The development of processing speed is described by a model including three quadratic growth types but this minimally differs. It is concluded that in both samples, the development of processing speed may be characterized by homogeneity, with the most intensive growth from grade 1 to grade 2 and subsequent linear improvement until grade 4.

Ecosystem heating experiment reveals sex-specific growth responses in fish

Size-specific body growth responses to warming are common among animal taxa, but sex-specific responses are poorly known. Here we ask if body growth responses to warming are sex-dependent, and if such sex-specific responses vary with size and age. This was tested with sex-specific data of back-calculated individual growth trajectories, in European perch ( Perca fluviatilis) from a long-term whole-ecosystem warming experiment (6.3 °C above the surrounding sea). Warming led to both size- and sex-specific differences in growth responses. Warming had a consistent positive effect on body growth of females, but negative effects on male growth at size > 10 cm and age > 2 years. These sex-specific growth responses translate to an increased degree of female-biased sexual size dimorphism (in length-at-age) with warming. Although the exact temperature-mediated effects underlying differential growth responses could not be resolved, results imply global warming may have highly different effects during ontogeny of male and female perch. Such effects should be considered in climate warming scenarios concerning fish growth, population size-structure, and dynamics of aquatic food webs that include fish exhibiting sexual size dimorphism.

Evidence for energy reallocation, not oxygen limitation, driving the deceleration in growth of adult fish.

The lifetime growth of almost all fishes follows a biphasic relationship - juvenile growth is rapid and adult growth subsequently decelerates. For a trend that is so ubiquitous, there is no general agreement as to the underlying mechanisms causing adult growth to decelerate. Ongoing theories argue that adult growth slows because either the gills fail to supply the body with surplus oxygen needed for continued somatic gain (i.e. oxygen limited), or sexual maturation induces a switch in energy allocation towards reproduction and away from growth (i.e. energy limited). Here, we empirically tested these notions by tracking the individual growth trajectories of ∼100 female Galaxias maculatus, ranging in size, during their first 3 months of adulthood. At a summer temperature of 20°C, we provided subsets of fish with additional energy (fed once versus twice a day), supplementary oxygen (normoxia versus hyperoxia), or a combination of the two, to assess whether we could change the trajectory of adult growth. We found that growth improved marginally with additional energy, yet remained unaffected by supplementary oxygen, thereby providing evidence for a role for energy reallocation in the deceleration of adult growth. Interestingly, additional dietary energy had a disproportionately larger effect on the growth of fish that matured at a greater size, revealing size-dependent variance in energy acquisition and/or allocation budgets at summer temperatures. Overall, these findings contribute towards understanding the mechanisms driving widespread declines in the body size of fish with climate warming.

Latent Trajectories of Subjective Well-Being: An Application of Latent Growth Curve and Latent Class Growth Modeling

This study proposed a three-stage measurement model utilizing the Latent Growth Curve Modeling and Latent Class Growth Analysis. The measurement model was illustrated using repeated data collected through a four-week prospective study tracking the subjective well-being of volunteer college students (n=154). Firstly, several unconditional growth models were estimated to define the model providing a better representation of individual growth trajectories. Secondly, several conditional growth models were formulated to test the usefulness of covariate variables hypothesized to explain observed variance in growth factors. Finally, latent class models were estimated to explore different latent trajectory classes further. Results showed that students' subjective well-being changed over time, and the rate of this change, as well as its covariates, were not constant for the entire sample. This study clearly illustrates how a longitudinal measurement approach can enhance the scope of findings and the depth of inferences when repeated measurements are available.

Development of an Ultrasound Scoring System to Describe Brain Maturation in Preterm Infants.

Cerebral maturation in preterm infants predominantly occurs postnatally, necessitating the development of objective bedside markers to monitor this process. This study aimed to develop a straightforward objective Ultrasound Score of Brain Development to assess cortical development in preterm infants. A total of 344 serial ultrasound examinations from 94 preterm infants born at ≤ 32 weeks of gestation were analyzed to identify brain structures suitable for a scoring system. Among 11 candidate structures, 3 cerebral landmarks were selected due to their correlation with gestational age: the interopercular opening (P < .001), the height of the insular cortex (P < .001), and the depth of the cingulate sulcus (P < .001). These structures can be easily visualized in a single midcoronal view in the plane through the third ventricle and the foramina of Monro. A score point from 0 to 2 was assigned to each measurement, culminating in a total score ranging from 0 to 6. The Ultrasound Score of Brain Development correlated significantly with gestational age (P < .001). The proposed Ultrasound Score of Brain Development has the potential for application as an objective indicator of brain maturation in correlation with gestational age, circumventing the need to rely on individual growth trajectories and percentiles for each specific structure.

Evaluation and prediction of individual growth trajectories

Background Conventional growth charts offer limited guidance to track individual growth. Aim To explore new approaches to improve the evaluation and prediction of individual growth trajectories. Subjects and methods We generalise the conditional SDS gain to multiple historical measurements, using the Cole correlation model to find correlations at exact ages, the sweep operator to find regression weights and a specified longitudinal reference. We explain the various steps of the methodology and validate and demonstrate the method using empirical data from the SMOCC study with 1985 children measured during ten visits at ages 0–2 years. Results The method performs according to statistical theory. We apply the method to estimate the referral rates for a given screening policy. We visualise the child’s trajectory as an adaptive growth chart featuring two new graphical elements: amplitude (for evaluation) and flag (for prediction). The relevant calculations take about 1 millisecond per child. Conclusion Longitudinal references capture the dynamic nature of child growth. The adaptive growth chart for individual monitoring works with exact ages, corrects for regression to the mean, has a known distribution at any pair of ages and is fast. We recommend the method for evaluating and predicting individual child growth.

Ecological mechanisms generating variable first-year growth in Paralichthys lethostigma, a coastal flatfish

Determining the relative influence of, and possible synergistic relationships among, environmental and biotic processes on individual growth rates can identify key mechanisms that contribute to variation in body size observed among similar-aged individuals. The timing of ontogenetic shifts in diet or habitat, which themselves can be size-dependent, can have considerable impacts on individual growth trajectories, survival, and year class formation. The southern flounder Paralichthys lethostigma is a coastal flatfish species with juvenile cohorts that occupy diverse estuarine settlement habitats and commonly display 2-3 fold variation in body size by the end of the first growing season. We examined abiotic and biotic factors contributing to differences in early juvenile growth for the 2018 year-class of southern flounder in a North Carolina estuary. Following peak larval settlement (Febuary/March), flounder body sizes began to diverge by April, with differences between settlement habitats contributing to roughly 3-fold variation by August. Stomach content analyses indicated a greater occurrence of fish prey in the diets of southern flounder recovered in mesohaline versus oligohaline settlement habitats. Increased piscivorous foraging in mesohaline habitats was linked to nitrogen (δ15N)-enriched tissues and faster growth rates relative to fish collected in oligohaline habitats. Results from a controlled laboratory experiment provided evidence for the strong effects of diet, with only minor direct effects of salinity on juvenile southern flounder growth. Our findings support the critical role of ontogenetic shifts to piscivorous feeding for growth in young-of-the-year southern flounder and highlights the potential for growth-mortality tradeoffs to exist among estuarine settlement habitats.

Evaluating differences in setting expected body weight for children and adolescents in eating disorder treatment.

Weight restoration or weight gain is a common goal in eating disorder treatment. However, approaches to determine expected body weight (EBW) vary. A standardized approach based on normative data for a patient's age and gender uses weight associated with median BMI (mBMI). An individualized approach predicts EBW based on a patient's individual growth trajectory. Little research has examined differences in these approaches. Weight and clinical data were collected from patients ages 6-20 enrolled in virtual eating disorder treatment. EBW associated with mBMI was compared with EBW using the individualized approach. Linear mixed effects models examined differences in weight, eating disorder symptoms, depression, and anxiety, and whether EBW approach varied by patient characteristics. Patients (N=609) were on average age 15.6 (2.29), 85% were cisgender female, and predominantly diagnosed with anorexia nervosa (83.1%). The individualized approach led to significantly higher EBW on average (mean difference=8.4lbs [SE: .75]; p < .001) compared to mBMI; 70% of patients had a higher EBW using the individualized approach. Notably, EBW varied based on gender and diagnosis and it took longer on average to achieve individualized EBW. Time was the strongest predictor of changes in psychosocial outcomes and there were no significant differences by EBW approach. Results from this study indicate that an individualized approach led to significantly higher EBWs compared with using mBMI. As underestimation of EBW may lead to higher risk of relapse, eating disorder professionals should consider using an individualized approach for setting EBW. For eating disorder patients who need to gain weight, accurately estimating target body weight for eating disorder treatment is critical to recovery and preventing relapse. An individualized, patient-centered approach to estimating target body weight more accurately estimated target body weight than the standardized, median body mass index approach. Using an individualized approach to treatment may improve a patient's likelihood of full recovery.

Accounting for temporal and individual variation in the estimation of Von Bertalanffy growth curves.

Growth and growth limitation are important indicators of density dependence and environmental limitation of populations. Estimating individual growth trajectories is therefore an important aspect of understanding and predicting the life history and dynamics of a population. Variation in individual growth trajectories arises due to variation in the environmental factors limiting individual growth. This environmental limitation can vary over time, between cohorts and between individuals within a cohort. For a complete and accurate understanding of individual growth in a population, it is important to include all these sources of variation. So far, statistical models only accounted for a subset of these factors or required an extensive growth history of individuals. Here, we present a novel model describing the growth curves of cohorts in a population. This model is derived from a stochastic form of the Von Bertalanffy growth equation describing individual growth. The model is specifically tailored for use on length-at-age data in which the growth trajectory of an individual is unknown and every individual is only measured once. The presented method can also be used if growth limitation differs strongly between age or length classes. We demonstrate the use of the model for length-at-age data of North Sea plaice (Pleuronectes platessa) from the last 30 years. Fitting this model to length-at-age data can provide new insights in the dynamics of the environmental factors limiting individual growth and provides a useful tool for ecological research and management.

Gesture Development in Chinese-Speaking Preschool Children With Autism and the Roles of Parental Input and Child-Based Factors.

Children with autism are found to have delayed and heterogeneous gesture abilities. It is important to understand the growth of gesture abilities and the underlying factors affecting its growth. Addressing these issues can help to design effective intervention programs. Thirty-five Chinese-speaking preschoolers with autism spectrum disorder (M age = 4.89 years, SD = 0.91; four girls) participated in four play sessions with their parents over 9 months. Their child-based factors including autism severity, intellectual functioning, and expressive language abilities were assessed. The gestures (deictic, iconic, and conventional) of the children and their parents were coded. Growth curve analyses were conducted to examine individual growth trajectories and the roles of child-based factors and parental input in shaping the children's gesture development. Child-based factors and parental input predicted gesture development differently. Parents' gestures positively predicted their children's gestures of the same type. Autism severity negatively predicted iconic and conventional gestures. Overall growth was found in deictic rather than iconic and conventional gestures. Subgroup variation was also found. Specifically, children with better expressive language ability showed a decrease in deictic gestures. An increase in iconic and conventional gestures was found in children with more severe autism and those with poorer expressive language ability and intellectual functioning, respectively. Different types of gestures may have different growth trajectories and be predicted by different child-based factors. Particular attention should be given to children who never produced iconic gestures, which is more challenging and may not develop over a short period, and hence require direct instruction.

In Situ Liquid Phase TEM of Nanoparticle Formation and Diffusion in a Phase-Separated Medium.

Colloidal nanoparticles are synthesized in a complex reaction mixture that has an inhomogeneous chemical environment induced by local phase separation of the medium. Nanoparticle syntheses based on micelles, emulsions, flow of different fluids, injection of ionic precursors in organic solvents, and mixing the metal organic phase of precursors with an aqueous phase of reducing agents are well established. However, the formation mechanism of nanoparticles in the phase-separated medium is not well understood because of the complexity originating from the presence of phase boundaries as well as nonuniform chemical species, concentrations, and viscosity in different phases. Herein, we investigate the formation mechanism and diffusion of silver nanoparticles in a phase-separated medium by using liquid phase transmission electron microscopy and many-body dissipative particle dynamics simulations. A quantitative analysis of the individual growth trajectories reveals that a large portion of silver nanoparticles nucleate and grow rapidly at the phase boundaries, where metal ion precursors and reducing agents from the two separated phases react to form monomers. The results suggest that the motion of the silver nanoparticles at the interfaces is highly affected by the interaction with polymers and exhibits superdiffusive dynamics because of the polymer relaxation.

Postural Control in Older Adults During and Following a 12-Week Balance Training Intervention With Attentional Focus Instructions

Adults (N = 54, 80.78 ± 6.08 years) who reported falling during the previous 12 months participated in a 12-week wobble board training program with internal focus or external focus (EF) instructions. Verbal manipulation checks were performed after training sessions as a self-report of the attentional foci used. The percentage of sessions in which participants reported using an EF (EFSR) was subsequently calculated. Mean velocity and mean power frequency in the anterior–posterior (MVELOAP and MPFAP) and medial–lateral (MVELOML and MPFML) direction were assessed during a 35-s wobble board task at Weeks 0, 6, 12, 13, 16, and 20, with the latter three as retention tests. Piecewise linear growth models estimated treatment effects on individual growth trajectories of MVELOAP and ML and MPFAP and ML during intervention and retention periods. Regardless of condition, MVELOML significantly decreased (π = −.0019, p = .005) and MPFML increased (π = .025, p &lt; .02) during the intervention period. In analyses including interaction terms, participants in the EF group who reported greater EFSR had superior progression of MPFAP during the intervention (π = .0013, p = .025). Verbal manipulation checks suggest a preference for and advantage of EF for facilitating postural control performance and automaticity.

Many lifetime growth trajectories for a single mammal.

Despite their importance in shaping life history tactics and population dynamics, individual growth trajectories have only been rarely explored in the wild because their analysis requires multiple measurements of individuals throughout their lifetime and some knowledge of age, a key timer of body growth. The availability of long‐term longitudinal studies of two wild boar populations subjected to contrasting environments (rich vs. poor) provided an opportunity to analyze individual growth trajectories. We quantified wild boar growth trajectories at both the population and the individual levels using standard growth models (i.e., Gompertz, logistic, and monomolecular models) that encompass the expected range of growth shapes in determinate growers. Wild boar is a rather altricial species, with a polygynous mating system and is strongly sexually dimorphic in size. According to current theories of life history evolution, we thus expect wild boar to display a sex‐specific Gompertz type growth trajectory and lower sexual size dimorphism in the poorer environment. While wild boar displayed the expected Gompertz type trajectory in the rich site at the population level, we found some evidence for potential differences in growth shapes between populations and individuals. Asymptotic body mass, growth rate and timing of maximum growth rate differed as well, which indicates a high flexibility of growth in wild boar. We also found a cohort effect on asymptotic body mass, which suggests that environmental conditions early in life shape body mass at adulthood in this species. Our findings demonstrate that body growth trajectories in wild boar are highly diverse in relation to differences of environmental context, sex and year of birth. Whether the intermediate ranking of wild boar along the precocial–altricial continuum of development at birth may explain the ability of this species to exhibit this high diversity of growth patterns remains to be investigated.