Linear Growth Research Articles

Single-cell imaging of the Mycobacterium tuberculosis cell cycle reveals linear and heterogenous growth.

Difficulties in antibiotic treatment of Mycobacterium tuberculosis (Mtb) are partly thought to be due to heterogeneity in growth. Although the ability of bacterial pathogens to regulate growth is crucial to control homeostasis, virulence and drug responses, single-cell growth and cell cycle behaviours of Mtb are poorly characterized. Here we use time-lapse, single-cell imaging of Mtb coupled with mathematical modelling to observe asymmetric growth and heterogeneity in cell size, interdivision time and elongation speed. We find that, contrary to Mycobacterium smegmatis, Mtb initiates cell growth not only from the old pole but also from new poles or both poles. Whereas most organisms grow exponentially at the single-cell level, Mtb has a linear growth mode. Our data show that the growth behaviour of Mtb diverges from that of model bacteria, provide details into how Mtb grows and creates heterogeneity and suggest that growth regulation may also diverge from that in other bacteria.

Early adolescents' ethnic-racial identity in relation to longitudinal growth in perspective taking.

Adolescents experience significant growth in social cognition, including perspective taking and identity formation. Due to the salience of race and ethnicity in the United States, adolescents' ethnic-racial identity (ERI) may have important implications for their sociocognitive development. The present study tested the association between ERI in early adolescence and subsequent longitudinal growth in perspective taking. Participants included 560 adolescents assessed annually over 4 years, beginning in sixth and seventh grade. Adolescents were from a small, rural community in the southeast United States and were from diverse ethnic-racial backgrounds (primarily Latine, Black/African American, and multiracial). Using linear growth curve modeling, we examined whether initial ERI predicted intercepts and slopes of longitudinal growth in perspective taking across adolescence. Results showed that the development of perspective taking differed based on initial ERI. Perspective taking increased significantly for youth with low and average levels of ERI but remained high and stable for youth at high levels of ERI. This study offers important evidence that Latine, Black, and multiracial youth who explore and find more clarity in their sense of ERI earlier in adolescence also show higher initial levels of perspective taking, which remains high across adolescence. Over time, most youth grow in perspective taking and eventually reach similar levels, but youth high in ERI reach these higher levels earlier than their peers, who had less sense of clarity about their ERI early in adolescence. This is one of the first known studies to directly test the association between ERI and perspective taking, utilizing a diverse, longitudinal sample of adolescents. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Interface evolution induced by two successive shocks under diverse reshock conditions

The effects of reshock conditions, including the interface evolution state before reshock and the second shock intensity, on interface instability induced by two successive shocks propagating in the same direction are investigated via shock-tube experiments. It is observed that the reshock promotes the interface instability, and the post-reshock perturbation evolution relates to both the pre-reshock interface evolution state and second shock intensity. For the linear evolution of the twice-shocked interface, existing models perform poorly when either the pre-reshock interface shape effect or the secondary compression effect is pronounced, as current reduction factors fail to accurately describe these effects. Besides, the reshock-induced linear amplitude growth rate shows a non-monotonic dependence on the scaled pre-reshock amplitude, primarily due to the shape effect of the pre-reshock interface. For the post-reshock nonlinear evolution, the model proposed by Zhang & Guo (J. Fluid Mech., vol. 786, 2016, pp. 47–61) offers reasonable predictions when the second shock is weak. However, when the second shock is moderately strong, the model overestimates the bubble growth and underestimates the spike evolution under the influence of the significant secondary compression effect. Furthermore, empirical linear and nonlinear models capable of describing the dependence of the post-reshock evolution on reshock conditions are proposed based on the present experimental results and existing models.

Cultivation and Growth Dynamics of Capelin (Mallotus villosus) from Hatch to Adulthood

This study describes the first successful rearing of capelin from hatch to adulthood in a laboratory setting using intensive culture methods. Over the span of about two years, the capelin were reared in aquaculture tanks under a constant temperature of 7 °C. The capelin demonstrated a robust linear growth during their first year of life, with a mean length increment of 0.36 mm per day. Due to their accelerated growth, some of the capelin became sexually mature as early as one year post-hatch. The first year was characterized by a rapid increase in condition factor (CF) while the second year showed a plateau. The von Bertalanffy growth equation effectively described the two-year growth of the cultivated capelin, predicting an asymptotic length (L∞) of 18.4 cm, similar to the 18.6 cm median L∞ of wild Icelandic capelin (1981–2018 cohorts). The cultivated capelin were projected to reach this length in 2.6 years, compared to about 6 years for wild capelin. This study provides new insights into the growth dynamics of capelin and although the species is sensitive to handling, it demonstrates that intensive culture methods can be used to investigate biological aspects of this important forage species.

Sampled-data control of a class of stochastic feedforward nonlinear systems with large delays and sparse sampling

This paper investigates the problem of sampled-data control for a class of stochastic nonlinear systems with delays in the input and state. It is shown that under an upper-triangular linear growth condition, a linear memoryless sampled-data feedback controller is able to globally stabilise the stochastic nonlinear time-delay systems, no matter how large the time delay and sampling period are. The memoryless sampled-data feedback controller is designed by using the emulation method together with the feedback domination technique. With the aid of Lyapunov-Krasovskii functional method, the constructed memoryless sampled-data feedback controller achieves global exponential stability (GES) in mean square of the hybrid closed-loop systems. Application of the sampled-data control scheme is demonstrated through a practical example with simulation.

Associations of linear growth with body composition of perinatally HIV-infected African adolescents.

The prevalence of poor linear growth among African children with perinatally acquired HIV remains high. There is concern that poor linear growth may to lead to later total and central fat deposition and associated non-communicable disease risks. We investigated associations between height-for-age Z score (HAZ) and total and regional fat and lean mass measured by dual-energy X-ray absorptiometry, expressed as internal population Z scores, among 839 Zimbabwean and Zambian perinatally HIV-infected male and female adolescents aged 11-19 years. Stunting (HAZ < -2) was present in 37 % of males and 23 % of females. HAZ was strongly positively associated with total, trunk, arm and leg fat mass and lean mass Z scores, in analyses controlling for pubertal stage, socio-economic status and HIV viral load. Associations of linear growth with lean mass were stronger than those with fat outcomes; associations with total and regional fat were similar, indicating no preferential central fat deposition. There was no evidence that age of starting antiretroviral therapy was associated with HAZ or body composition. Non-suppressed HIV viral load was associated with lower lean but not fat mass. The results do not support the hypothesis that poor linear growth or stunting are risk factors for later total or central fat deposition. Rather, increased linear growth primarily benefits lean mass but also promotes fat mass, both consistent with larger body size. Nutritional and/or HIV infection control programmes need to address the high prevalence of stunting among perinatally HIV-infected children in order to mitigate constraints on the accretion of lean and fat mass.

Anthropometric Studies of Schoolchildren During the First Decades of the 20th Century in Spain and Argentina.

The practice of anthropometry in schools at the beginning of the 20th century originated in Europe and Latin America in conjunction with the emergence of hygienism and epidemiological auxology. The aim of this work is to deepen the knowledge of these practices in Spain and Argentina and to compare the available growth data in order to identify possible differences between the populations. The anthropometric data of 1693 boys and girls aged 7-15 years (877 Spanish; 816 Argentinean) from the period between 1903 and 1913 were analyzed. The data were taken from the Reports and Memoirs of the School Colonies of the National Pedagogical Museum (Spain) and the Archives of Pedagogy and Related Sciences of the Faculty of Law and Social Sciences of the National University of La Plata (UNLP) (Argentina). The most pronounced differences in weight and height were observed between the ages of 11 and 12. The weight growth of Spanish schoolchildren was 22% (boys) and 24% (girls) lower than that of their Argentine counterparts, while linear growth was about 7% lower for both sexes. In addition, the Spanish had a lower body mass index up to the age of 12 years. Argentine boys and girls of La Plata were taller and heavier than their Spanish counterparts of Madrid during the same period (between 1903 and 1913). These results can be attributed to the higher standard of living that characterized the Argentine population at that time.

Numerical study of turbulent eddy self-interaction in tokamaks with low magnetic shear. Part I: Linear simulations

Abstract This study examines the impact of low and zero magnetic shear, along with rational values of safety factor, on linear mode behavior in tokamak plasmas. We focus on how magnetic field line topology and parallel domain length influence linear mode structures and growth rates as magnetic shear decreases. Our results&amp;#xD;show that as magnetic shear is reduced to low values, linear modes can transition between different branches, significantly affecting their characteristics. At zero magnetic shear, accurate modeling requires precisely capturing magnetic topology, as small deviations near rational surfaces can greatly impact growth rates. These findings are extended to nonlinear simulations in a companion paper (Volčokas, 2024), revealing that long turbulent eddies and magnetic field line topology play a crucial role in turbulence self-interaction and plasma transport.

Generalization of the Carothers equation for linear step growth polymers

In the synthesis of linear step-growth polymers molecular weight control is accomplished through the addition of a controlled amount of monomer carrying the functional group B in excess (B-B or H-B types). The Carothers equation is used to calculate average chain lengths. This paper extends the analysis of chain lengths to include the effect of monofunctional monomers carrying the limiting group A (H-A), allowing the systematic analysis of complex systems containing both bifunctional and monofunctional species of any type (A-A, B-B, H-B and H-A). This refinement is particularly relevant for the synthesis of oligomers from systems with complex feed composition.

The Effect of INSIGHTS on Developmental Trajectories of Children’s Self- Regulation

AbstractThe development of self-regulation is critical for children’s positive interactions with others and successful adjustment to school. Using their self-regulation skills, children can adapt their temperamental, emotional, and behavioral reactions to environmental stimuli. Greater self-regulation is advantageous in the classroom, as more regulated children have an easier time with basic behavioral expectations, and are more likely to persist with difficult tasks, work efficiently, and pay attention to instructions. INSIGHTS into Children’s Temperament (INSIGHTS) is a temperament-based intervention that improves kindergarten and first-grade children’s social-emotional development and academic learning. In the current study, we examined the effects of INSIGHTS on rural Midwestern children’s self-regulation development (i.e., attention, inhibitory control), compared to control classrooms. In addition, we explored the effects of children’s baseline self-regulation and the effects of the intervention on children’s developmental trajectories. Students (N = 147) from 61 classrooms were randomly assigned to INSIGHTS or control conditions by school. Children’s self-regulation skills whereas examined at four different times. Multiple regression models were fit, and results suggest that INSIGHTS participants exhibited greater self-regulation at Time 4 as compared to the control group. Additionally, latent growth curve models were used to model linear growth. Results suggest that INSIGHTS participants experienced increased growth rates for attention, inhibitory control, and sustained attention compared to the control group. Our study provides evidence for the positive effects of a social-emotional classroom intervention on the developmental trajectory of children’s self-regulation.

Trajectory Analysis of the Four-Year Changes in Body Composition and Bone Mineral Characteristics Among Highly Competitive Male University Long-Distance Runners.

This study examined long-term changes in body composition and bone mineral characteristics among male long-distance runners from a high-profile university team, focusing on concerns about impaired musculoskeletal development due to extreme leanness and weight management practices in this population. Trajectory analyses were performed using multilevel modeling of 608 dual-energy x-ray absorptiometry datasets from 109 runners (mean age, height, and weight of 18.0 years, 171.4 cm, and 56.8 kg at baseline, respectively) collected biannually over 4 years. Linear increases in total and regional lean mass (LM) were observed on average, with the increase in leg LM being double that of arm LM (0.07 vs. 0.03 kg per occasion, respectively). Similarly, total bone mineral density (BMD) and content (BMC) exhibited linear growth on average, with BMD accrual being greater in the legs than in the arms (0.004 vs. 0.001 g/cm2 per occasion, respectively). However, rib BMD and BMC were predicted to decrease. Individually predicted growth rates in total LM were significantly associated with those in total BMD (r = 0.347, p < 0.001) and BMC (r = 0.424, p < 0.001). These results indicate site-specific musculoskeletal adaptations to intensive long-distance running training. Moreover, a random slope model accurately captured the trajectories of most dependent variables, highlighting the heterogeneity of training responses. The predictive models developed in this study offer practical strategies for identifying runners at risk of suboptimal physical development, thereby facilitating the development of personalized conditioning programs.

Latent Growth Model with Categorical Indicators: Comparison of the Different Estimators

Despite its potential usage in social and behavioral sciences, there has been limited research on Latent Growth Models (LGM) with categorical indicators. The categorical nature of binary or ordinal variables violates the multivariate normality assumption of the traditional maximum likelihood (ML) estimator. Alternative estimators can be employed, such as marginal maximum likelihood (MML), categorical weighted least squares (c-WLS), and categorical diagonally weighted least squares (c-DWLS). A Monte Carlo simulation study was conducted to compare the performance of the three estimators in the context of categorical LGM. The results revealed that the MML estimator performed the best for the correctly specified linear growth model, whereas the robust c-DWLS or c-WLS estimator excelled in correctly specified quadratic growth model. The robust c-DWLS and c-WLS estimators were more sensitive to model misspecifications. The findings of the present study provide important implications and practical recommendations for empirical researchers using categorical LGM.

Impacts of Nano-Composite of Copper and Carbon on Intestinal Luminal Micro-Ecosystem and Mucosal Homeostasis of Yellow-Feather Broilers

The present study was undertaken to evaluate the impacts of nano-composites of copper and carbon (NCCC) on the intestinal luminal micro-ecosystem and mucosal homeostasis of yellow-feather broilers. A total of two-hundred and forty 1-day-old male yellow-feather broilers were randomly allocated into four groups, each with five replications of twelve birds. The control (CON) group received a corn-soybean basal diet, while the N50, N100, and N200 groups were supplemented with 50, 100, and 200 mg/kg of NCCC in basal diets, respectively. The trial duration was 63 days. The findings demonstrated that there were slight impacts of NCCC addition on the intestinal luminal micro-ecosystem of broilers, with the fecal moisture content in the N100 group being slightly higher on Day 3 in the starter phase (p &lt; 0.05). The cecal microbiota structure also did not obviously change (p &gt; 0.05), in spite of the fall in the relative abundance of the Ruminococcus torques group in the N50 group and norank Clostridia UCG-014 in N200 group (p &lt; 0.05). But for intestinal mucosal homeostasis, NCCC played a crucial part in jejunal morphology, tight junction, immunologic status, and antioxidant capacity. There was linear growth in villus height and a quadratic increase in villus height, crypt depth and their ratio with the increase in NCCC dosage (p &lt; 0.05), and 100 mg/kg NCCC supplementation could intensify the expression of CLDN-3 genes (p &lt; 0.05). In addition, IL-4 and IL-10 linearly increased after NCCC treatment (p &lt; 0.05), along with some irregular changes in sIgA (p &lt; 0.05). In addition, higher jejunal mucosal total antioxidant capacities in N50 and N200 groups were also observed (p &lt; 0.05). Overall, NCCC treatment optimized the intestinal mucosa function of broilers in terms of physical barrier and immune and antioxidant capacities, but exerted subtle influence in the luminal environment of yellow-feather broilers. More precisely, dietary supplementation with 50 mg/kg NCCC is recommended for intestinal homeostasis of broilers.

Krylov complexity of fermion chain in double-scaled SYK and power spectrum perspective

We investigate Krylov complexity of the fermion chain operator which consists of multiple Majorana fermions in the double-scaled SYK (DSSYK) model with finite temperature. Using the fact that Krylov complexity is computable from two-point functions, the analysis is performed in the limit where the two-point function becomes simple and we compare the results with those of other previous studies. We confirm the exponential growth of Krylov complexity in the very low temperature regime. In general, Krylov complexity grows at most linearly at very late times in any system with a bounded energy spectrum. Therefore, we have to focus on the initial growth to see differences in the behaviors of systems or operators. Since the DSSYK model is such a bounded system, its chaotic nature can be expected to appear as the initial exponential growth of the Krylov complexity. In particular, the time at which the initial exponential growth of Krylov complexity terminates is independent of the number of degrees of freedom. More generally, and not limited to the DSSYK model, we systematically and specifically study the Lanczos coefficients and Krylov complexity using a toy power spectrum and deepen our understanding of those initial behaviors. In particular, we confirm that the overall sech-like behavior of the power spectrum shows the initial linear growth of the Lanczos coefficient, even when the energy spectrum is bounded.

Grey Relation System Applications in Multi-Attribute Decision-Making and Forecasting in Financial Management

Objective: The objective of the paper is to verify the Grey relation analysis methods and compare them with known models in financial management. The first part is devoted to MADM (multi-attribute decision methods) and the second one to grey forecasting methods. Method: Localization GRA and globalization GRA multi-criteria models are described and compared with the TOPSIS method. The forecasting GRA(1,1) model based on cumulative data is described, derived and compared with the linear growth model. The models are verified on the data set. Results and Discussion: The globalisation model based on a pair-wise comparison of alternatives is different, and the ranking of alternatives is fully different in comparison with the TOPSIS model. It was found that the localisation GRA model and TOPSIS, both constructed on similarity measures, present similar and comparable results. So, the grey relation approach considers the uncertainty of input data. The forecasting model GRA(1,1) is computed and compared with the growth model. Results show that the growth model is the trendy model, and the non-trendy series is overestimated or underestimated, so the GRA model looks more robust. Research Implications: The problem of imprecise data is investigated. And it is a realistic condition for practical decision-making. The problem of lack of data is often a phenomenon in decision-making. Traditional statistical methods cannot be applied. Therefore, grey relation methodology is one approach to overcoming the problem of imprecise data and lack of data. Uncertainty and lack of data problems are topics important for research and the managerial community. Originality/Value: Sometimes, in financial decision-making, high-quality data or long-term time series is not at our disposal, and on the other hand, decisions have to be made. This problem is often neglected and solved by not-relevant traditional statistical models. Therefore, methods that allow the solving of such problems are useful. It was shown that a grey relation methodology for multicriteria financial performance evaluation and forecasting shows more robust and stable results and could be more relevant for imprecise data or short time series data in financial decision-making problems.

Root exudation of glyphosate in Eucalyptus urophylla S.T. Blake

Glyphosate stands out in the eucalyptus management, which makes it essential to know its behavior, its effects on the plant, and possible environmental impacts. This study aimed to identify and quantify the root exudation of glyphosate and aminomethylphosphonic acid (AMPA) by Eucalyptus urophylla with chromatographic and biological methods. The five glyphosate doses were tested (0, 360, 720, 1080 and 1440 g a.e ha−1) on E. urophylla plants. The physiological and intoxication evaluations were performed after herbicide application. Water samples remaining from the pots were used for chemical quantification of root exudation of glyphosate and AMPA in high-performance liquid chromatography. Cucurbita pepo plants were used as bioindicators of glyphosate in the water remaining in the pots after applying herbicide. The increase in glyphosate doses promoted linear growth in E. urophylla intoxication and significantly reduced total dry mass and root production. E. urophylla plants had their photosynthetic, transpiratory, and stomatal conductance rates reduced as the herbicide doses increased. The AMPA root exudation was not detected, but it was possible to identify the presence of glyphosate by bioassay and chemical methods. Root exudation of glyphosate by eucalyptus can result in lesser herbicide action in plant control and cause contamination of deeper soil layers.

A quasi-experimental study assessing the effectiveness of a community-based egg intervention in the nutritional and health status of young children from rural Honduras.

This community-public-private-academic coalition project implemented and evaluated the effectiveness of a rural, community-based egg intervention that aimed to support the nutrition and health of children living in rural, poor communities from Intibucá, Honduras, during the COVID-19 pandemic. This investigator-blind, non-randomized, controlled study was informed by a community health improvement process and participatory research. Women from 13 communities were given a microloan to start an egg farm that supplied 1 egg daily to 201 children ages 6-24 months for 1 year (intervention group). Control communities (n = 14) were selected from neighboring municipalities with similar sociodemographic backgrounds based on size. Sociodemographic-, anthropometric-, and morbidity data were collected biannually between January 2021 to January 2022. Outcome changes were compared with linear-, generalized- or Poisson- mixed models adjusted by sex, age, maternal education, breastfeeding status, assets, adults living at home, baseline outcomes, and community-cluster. Baseline to 6- and 12-month weekly frequency of egg intake significantly increased in the intervention vs. the control group: 6-month change = 1.86; 95%CI (1.61, 2.14); 12-month change = 1.63; 95%CI (1.42, 1.87 p<0.001), respectively. Baseline to 12-month changes in the intervention group were not significant for length/height-for-age-z-scores = 0.12, p = 0.187; weight-for-length/height-z-scores = -0.02, p = 0.78; and diarrhea prevalence, AOR = 1.69; 95%CI (0.53, 5.42), p = 0.378. Lower odds of respiratory infections were observed for the intervention vs. the control group at 6- and 12-month post: AOR = 0.28; 95%CI (0.12, 0.63), p = 0.002; AOR = 0.30; 95%CI (0.12, 0.75), p = 0.010, respectively. Children in the intervention group reported consuming eggs more days per week relative to the control group. Lower odds of respiratory infections were observed in the intervention group throughout the study. Ongoing follow-up will offer more insights on the intervention's effectiveness in linear growth, dietary diversity, food security, and other nutritional outcomes.

The assessment of urinary sexual hormones within minipuberty and correlations with anthropometrics in a cohort of healthy term children.

Minipuberty follows different trends in boys and girls. Aim of our study was to explore timing and dynamics of minipuberty in healthy infants, analyzing urinary levels of sexual hormones. Moreover, we analyzed the association among HPG axis activity and linear growth, ano-genital distances (AGDs) in both sexes, and penile length in males. Longitudinal cohort study in healthy term infants from birth to 6 months of life. Clinical evaluation (anthropometrics and AGDs) and urine sampling were performed at 0 (T0), 3 (T3), and 6 (T6) months. Urine samples were analyzed for gonadotropins and sex hormones. 165 participants were involved. The growth trend of our population was regular, as were the AGDs. Urinary hormones were correlated each other's. Specifically, in boys, the correlation coefficient between urinary FSH (uFSH) and urinary LH (uLH) decreased from T0 to T6, while between urinary Testosterone (uT) and uFSH increased. In girls, correlations between uFSH and urinary Estradiol (uE) were observed at each time point. Notably, several correlations between hormones and anthropometrics and AGDs were found; the most interesting correlation was found in males within uLH and PL (at T0 ρ: 0.323, p < 0.05 and at T3 ρ: 0.371, p < 0.01), whereas in females uFSH at T0 showed negative correlations with both length and body weight percentile at T3 (ρ: -0.505, p < 0.01 and ρ: -0.478, p < 0.01, respectively). Urinary matrix has proved to be a valuable, practical, non-invasive and cheaper method for sexual hormone assessment.

Exploring the correlation between tree structure characteristics and carbon storage in historic gardens using TLS technology: a case study of Jian Xin Pavilions at Jingyi Park, Fragrant Hills Park

Historic gardens contain a greater number and variety of ancient trees, which are older, have unique forms, and larger volumes. These trees hold significant value in both natural ecosystems and cultural heritage. However, current research on the carbon sequestration value of ancient and non-ancient trees in historical gardens is relatively lacking. Based on the unique morphology and carbon storage estimation needs of ancient trees in historic gardens, this paper proposes a morphology-based point cloud single-tree segmentation method. This method can precisely extract the morphological structures of various tree species and accurately estimate their carbon storage. From the perspective of carbon sequestration, it evaluates the correlation between the structural characteristics and carbon storage of trees in historic gardens, as well as the potential changes in their carbon storage capacity.Using the Jing Yi Park’s Jian Xin Pavilions in Fragrant Hills Park as a case study, this method was applied to extract structural indicators of 116 ancient and non-ancient trees. The total carbon storage was found to be 19,171.13 kg, with an average carbon storage of 165.27 kg per tree. Among these, ancient trees accounted for 13,178.32 kg, or 68.74% of the total carbon storage. The study revealed that the correlation between tree age and carbon storage varied by species, and there were significant positive correlations between carbon storage and tree height, DBH, and canopy volume. Notably, there was a significant linear growth trend between DBH, canopy volume, and carbon storage. By 2030, the total carbon storage is projected to increase to 21,924.96 kg, with an annual average increase of 393.40 kg, representing a growth rate of 14.4%.The results indicate that studying the correlation between structural characteristics and carbon storage of aged trees in historical gardens can shed light on the important role of trees in sustainable carbon sequestration. The precise extraction of tree information through 3D digital technology and the prediction of carbon storage potential not only offer new perspectives for the conservation of cultural heritage in historical gardens, urban microclimate planning and design, and spatial management of carbon sinks and emissions but also have significant value for promoting the scientific management and protection of urban green spaces.

Predictors of stunting and pathway analysis for linear growth among children 2-3 years of age after a trial of small-quantity lipid-based nutrient supplements and home-installed growth charts in three districts in Zambia

Globally, 148 million children under 5 are stunted, with risk factors varying by context. Our 'Impact of Growth Charts and Nutritional Supplements on Child Growth in Zambia' (ZamCharts) trial observed persistently high rates of stunting in all treatment groups after 18-months of intervention with monthly distributions of small-quantity lipid-based nutrient supplements (SQ-LNS) and/or installation of a wall-mounted growth chart in children's homes. We sought to identify determinants of stunting and height-for-age z-score in children 27-36 months who participated in the ZamCharts endline survey (n=1911). Multi-level, log-binomial models were used to estimate univariable and multivariable prevalence ratios for predictors of stunting. Multi-level models were also used to predict height-for-age z-score (HAZ) with and without baseline HAZ (assessed at ages 2-11 months). We also conducted a path analysis using covariance analysis of linear structural equations to assess underlying and modifiable risk factors for impaired linear growth. Significant predictors of stunting in the multivariable model included: low asset ownership; being male; using biomass as cooking fuel; lower maternal height; a mother with ≤ primary education; lower baseline HAZ. and not being randomized to SQ-LNS. Significant predictors of a lower mean HAZ in the full multivariable models included all the same risk factors that predicted stunting, but also living in an urban area, having more than one child <5 years in the household and diarrhea in the previous 2 weeks. The multivariable model explained 48% of variability in endline HAZ; the strongest predictor was baseline HAZ, which explained 29% of endline HAZ variability in the univariable model. Preventing stunting in Zambia will require investments in early life (pre- and post-natal) determinants of growth trajectory as well as improving complementary feeding practices and addressing risk factors for infectious diseases; SQ-LNS can also improve linear growth and reduce stunting.