The association between atopic dermatitis and linear growth in children- a systematic review.

To evaluate the association between atopic dermatitis (AD) and linear growth in children, and determine factors associated with compromised linear growth in children with AD. A PRISMA-compliant systematic review was conducted. Databases (PubMed, Embase, Scopus and Cochrane) were searched from inception to June 2024 for articles that reported a quantitative relationship between AD and linear growth in children (< 18 years old). Quality of included articles was assessed using the Joanna Briggs Institute Critical Appraisal Tools while quality of evidence in these studies was evaluated using Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria. Fourteen studies (comprising 50,146 patients with AD) were included. Seven studies reported a strong positive or positive association between AD and reduced height standard deviation score (SDS) in children; the others reported no association. Only 3 studies had moderate quality of evidence, all of which reported an association between AD and poorer height SDS; the remaining 11 studies scored low in quality of evidence. Three studies reported the impact of AD on height to be transient. Secondary analysis showed AD severity, earlier AD onset, sleep disruption and, food restriction, to be risk factors for linear growth impairment in patients with AD. Topical steroid use was not associated with shorter stature in patients with AD. Conclusion: Current evidence on the association between childhood AD and poor linear growth is weak and inconsistent. However, patients with more severe AD, earlier disease onset, poorer sleep quality and higher nutritional restrictions appear more susceptible to linear growth impairment. What is known? • There is inconsistent evidence of the association between atopic dermatitis (AD) and linear growth in children in current literature, with some studies suggesting that AD may negatively impact linear height while other studies do not report similar associations. What is new? • There is no strong association between AD in childhood and poorer linear growth. • There may be a transient slowing of linear growth in children with AD, mimicking constitutional growth delay. • Children with severe AD, earlier disease onset, poorer sleep quality and nutritional restrictions may be at risk of more significant linear growth impairment. • Topical steroid use does not appear to contribute to shorter height in children with AD.

Maternal factors promoting normal linear growth of children from impoverished Rwandan households: a cross-sectional study.

BACKGROUND: Linear growth faltering remains a pervasive public health concern that affects many children worldwide. This study aimed to investigate possible maternal factors promoting normal linear growth among children aged 6-23 months of age from impoverished Rwandan households. METHODS: We used a three-stage cluster sampling procedure. The study population consisted of children aged six to 23 months and their mothers who lived in the study districts. A structured questionnaire helped to collect data from 807 selected mother-child dyads. The primary outcome variable was height-for-age Z scores. The main predictors were maternal income-generating activity, maternal education, maternal depression, household decision making, number of ANC visits, use of family planning method, types of family planning, and mode of delivery. We used univariate analysis to establish median, frequencies, and percentages. Furthermore, we used the Kruskal-Wallis, Mann-Whitney U, and Spearman rank correlation tests for bivariate analysis. We included in the final model of robust linear regression for multivariate analysis the potential confounding variables identified as significantly associated with the outcome (child age, participation in works for both parents, good handwashing practice, owning a vegetable garden, and the total number of livestock) along with maternal factors. RESULTS: Maternal factors that promoted normal linear growth of children were the presence of maternal income generation activity (ß= 0.640 [0.0269 1.253], p value = 0.041), the participation of the mother in the decision-making process of the household (ß=0.147 [0.080 0.214], p-value < 0.001), and the higher frequency of consultations with ANC (ß=0.189 [0.025 0.354], p-value = 0.024). Additionally, a combination of household decision-making with the number of ANC visits predicted an increase in the linear growth of the child (ß=0.032 [0.019 0.045], p-value < 0.001). CONCLUSION: Maternal factors such as maternal income-generating activity, maternal participation in household decision making, and increased number of ANC visits were found to promote normal child linear growth. These results contribute valuable information to the formulation of interventions and policies to improve child nutrition and growth in the community studied.

Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques.

Coronavirus has long been considered a global epidemic. It caused the deaths of nearly 7.01 million individuals and caused an economic downturn. The number of verified coronavirus cases is increasing daily, putting the whole human race at danger and putting strain on medical experts to eradicate the disease as rapidly as possible. As a consequence, it is vital to predict the upcoming coronavirus positive patients in order to plan actions in the future. Furthermore, it has been discovered all across the globe that asymptomatic coronavirus patients play a significant part in the disease's transmission. This prompted us to incorporate similar examples in order to accurately forecast trends. A typical strategy for analysing the rate of pandemic infection is to use time-series forecasting technique. This would assist us in developing better decision support systems. To anticipate COVID-19 active cases for a few countries, we recommended a hybrid model utilizing a fuzzy time series (FTS) model mixed with a non-linear growth model. The coronavirus positive case outbreak has been evaluated for Italy, Brazil, India, Germany, Pakistan, and Myanmar through June 5, 2020 in phase-1, and January 15, 2022 in phase-2, and forecasts active cases for the next 26 and 14 days respectively. The proposed framework fitting effect outperforms individual logistic growth and the fuzzy time series techniques, with R-scores of 0.9992 in phase-1 and 0.9784 in phase-2. The proposed model provided in this article may be utilised to comprehend a country's epidemic pattern and assist the government in developing better effective interventions.

Anthropometric and sociodemographic variables, but not preconception or prenatal maternal nutrition supplementation, predict neurodevelopment in offspring of the 'Women First' trial.

Multiple factors influence infant and child neurodevelopment in low resource settings. In offspring of participants in the preconception maternal nutrition trial, Women First (WF), we examined the impact of providing a preconception (Arm 1) or prenatal (Arm 2) nutrient supplement (compared to controls, Arm 3) on neurodevelopmental outcomes at 24 months; predictors of neurodevelopment scores; and associations of infant anthropometrics with neurodevelopmental scores. Follow-up visits for anthropometry were conducted at 6-, 12-, 18- and 24-month of age. At 24-months, in a randomized subset, the Bayley Scales of Infant Development, 3rd edition (BSID-III), including cognitive, motor and social-emotional subscales, and the Family Care Indicators (FCI) questionnaire, assessing family and home environment, were completed. Multiple covariates (intervention arm, site, maternal sociodemographic characteristics, FCI subscales, birthweight and 6-24 months' change in anthropometry z-scores, (e.g., ΔLAZ6-2 4) were evaluated by linear regression to predict BSID-III outcomes and to assess associations of anthropometric changes with BSID-III scores. The analysis consisted of 1386 infants (n = 441, 486, 459 for Arms 1, 2 and 3, respectively). None of the domain-specific BSID-III subscale scores differed by maternal intervention arm. Four covariates significantly predicted (p ≤ 0.01) all 3 BSID-III subscales: secondary maternal education, ΔLAZ6 - 24, birthweight >2500 g, and FCI play materials. Linear growth was associated with all domains of neurodevelopment. The results underscore the multi-dimensional aspects of child development represented by the nurturing care framework, including prenatal maternal nutrition, post-natal growth, maternal education for responsive caregiving and opportunities for early learning.

Linear growth and neurobehavioural outcome in preterm neonates (<34 weeks) at term corrected gestational age: a prospective observational study.

The present study explores the association between linear growth and neurobehavioral outcome in preterm (<34 weeks) when evaluated by NAPI score (Neurobehavioral Assessment of Preterm Infants) at term gestational age (GA). 80 preterm neonates were enrolled for this study and divided into two groups based on the increase in length/week at term corrected gestational age (CGA). Anthropometric parameters were calculated at various time points of study and Z scores were calculated. Neurobehavioral assessment of the enrolled infants was done by NAPI score at 37 and 40 weeks of CGA. After controlling for GA, weight Z scores, and head circumference Z scores, the median score of NAPI-motor development-vigor at 37 weeks and NAPI alertness orientation at 40 weeks were positively related to length Z scores at 37 weeks (p = 0.04) and 40 weeks (p = 0.035), respectively. Neonates with suppressed linear growth have poor short-term neurological outcomes. We recommend linear growth monitoring along with weight gain in the developed countries and diminished linear growth in the neonate as a marker to predict deviation in cognitive outcome in the future.

Accelerated Linear Growth during Erdafitinib Treatment: An FGFR-Related, but Growth Factor and Sex Steroid-Independent Mechanism?

INTRODUCTION: Growth acceleration during postnatal growth only occurs during puberty as a physiological event and during catch-up growth mediated by growth-promoting therapies in growth disorders. Here we report on novel observations of skeletal symptoms during treatment with erdafitinib, a tyrosine kinase inhibitor (TKI) prescribed on the basis of a compassionate-use program. METHODS: Analysis of anthropometric, biochemical, clinical, and radiographic data of patients with CNS tumors who revealed an unanticipated growth spurt with initiation of therapy with erdafitinib was performed retrospectively. RESULTS: Linear growth acceleration was independent of sex steroids and IGF1 levels, which is especially remarkable in the context of heavily pretreated pediatric neuro-oncology patients with severe growth impairment before initiation of therapy. Growth acceleration was accompanied by a distinct widening of the growth plate and enhanced metaphyseal mineralization shortly after the start of TKI therapy. CONCLUSIONS: While targeted therapies including TKIs have become an essential part of adult cancer treatment, applications in children are still limited. Off-target effects specific to the pediatric population have been observed in various organ systems; however, knowledge about the effect of TKIs on the growing skeleton is scarce. Treatment with erdafitinib inhibits FGFR3-mediated effects and thus represents a very logical hypothetical framework of growth factor and sex steroid-independent growth acceleration.

Early childhood height is a determinant of young adult stature in rural Nepal.

BACKGROUND: Does preschool height predict adult stature in undernourished settings? The extent to which preschool length or height forecasts young adult stature is unclear in chronically undernourished populations. METHODS: In 2006-8, we assessed height in a cohort of 2074 young adults, aged 16-23 years, in rural Nepal who, as preschoolers (≤ 4 year), were measured at baseline and again 16 months later during a vitamin A supplementation trial in 1989-91. We assessed by linear regression the ability of preschool length (L, measured < 24 mo) or height (Ht, 24-59 mo), at each year of age to predict 16-23 year old height, adjusted for month of young adult age, interval duration (in months), caste, preschool weight-for-height z-score and, in young women, time since menarche, marriage status and pregnancy history. RESULTS: Young women were a mean of 0.81, 1.11, 0.82, 0.24, 0.44 cm taller (all p < 0.01) and young men, 0.84, 1.18, 0.74, 0.64 and 0.48 cm taller (all p < 0.001) per cm of attained L/Ht at each successive preschool year of age and, overall, were 2.04 and 2.40 cm taller for each unit increase in preschool L/Ht z-score (L/HAZ) (both p < 0.001). Coefficients were generally larger for 16-month follow-up measurements. The percent of young adult height attained by children with normal L/HAZ (>-1) increased from 38-40% mid-infancy to ∼ 69-74% by 6 years of age. By 3-6 years of age heights of stunted children (L/HAZ<-2) were consistently ∼ 4-7% lower in their young adult height versus normal statured children. There was no effect of preschool vitamin A receipt. CONCLUSIONS: Shorter young children become shorter adults but predictive effects can vary by sex, age assessed, and may be influenced by year or season of measurement.

Estimation of standing height in spina bifida: model development and validation.

OBJECTIVE: Childhood standing height has been estimated from arm span-related (heightAS) models. The authors aimed to develop and cross-validate a heightAS model in individuals with spina bifida (SB) and examine the accuracy of existing heightAS models. METHODS: Participants were individuals with sacral and low-lumbar SB (n = 14) and non-SB (n = 83), 7-16 years old. Arm span, age, sex, and group (SB vs. non-SB) were candidate height predictors. Sequential regression and leave-one-out cross-validation approaches were used for the model development (M1) and cross-validation (M1-M5). Existing models were: an SB-specific model from Polfuss et al. (M2) and non-SB specific models from Gauld et al. (M3), Mulu et al. (M4), and Zverev et al. (M5) studies. RESULTS: Arm span and group explained 95 % of the variance in height (R2 = 0.95; p < 0.001; SEE = 3.666 cm) and were included in the M1. Mean differences between actual and estimated height were 0.0 cm (M1), 0.4 cm (M2), and 0.5 cm (M5), all not significant (p > 0.05). However, Bland-Altman analysis revealed some variability in the predictability of the models across participants with limits of agreement ranging from 7.4 to 10.9 cm. Considerable errors were observed with M3 (mean diff: -5.58 cm, 95 % CI: -1.6, -20.2 cm), and M4 (mean diff: 10.5 cm, 95 % CI: -13.8, -27.3 cm). CONCLUSIONS: Models (M1, M2 and M5) may accurately estimate standing height in groups of children with SB. However, due to the wide limits of agreement, caution is recommended when applying these models for individual height estimations.

Nutrition, Other Environmental Influences, and Genetics in the Determination of Human Stature.

Linear growth during three distinct stages of life determines attained stature in adulthood: namely, in utero, early postnatal life, and puberty and the adolescent period. Individual host factors, genetics, and the environment, including nutrition, influence attained human stature. Each period of physical growth has its specific biological and environmental considerations. Recent epidemiologic investigations reveal a strong influence of prenatal factors on linear size at birth that in turn influence the postnatal growth trajectory. Although average population height changes have been documented in high-income regions, stature as a complex human trait is not well understood or easily modified. This review summarizes the biology of linear growth and its major drivers, including nutrition from a life-course perspective, the genetics of programmed growth patterns or height, and gene-environment interactions that determine human stature in toto over the life span. Implications for public health interventions and knowledge gaps are discussed.

Iron overload disorders: Growth and gonadal dysfunction in childhood and adolescence.

Hemochromatosis (HC) is characterized by the progressive accumulation of iron in the body, resulting in organ damage. Endocrine complications are particularly common, especially when the condition manifests in childhood or adolescence, when HC can adversely affect linear growth or pubertal development, with significant repercussions on quality of life even into adulthood. Therefore, a timely and accurate diagnosis of these disorders is mandatory, but sometimes complex for hematologists without endocrinological support. This is a narrative review focused on puberty and growth disorders during infancy and adolescence aiming to offer guidance for diagnosis, treatment, and proper follow-up. Additionally, it aims to highlight gaps in the existing literature and emphasizes the importance of collaboration among specialists, which is essential in the era of precision medicine.

Colonization during a key developmental window reveals microbiota-dependent shifts in growth and immunity during undernutrition.

BACKGROUND: Childhood undernutrition is a major global health challenge with devastating lifelong consequences. Linear growth stunting due to undernutrition has been linked to poor health outcomes, and mothers who experience growth stunting in childhood are more likely to give birth to stunted children later in life. Based on these findings, we hypothesized that intergenerational colonization of mice with microbiota from human donors with undernutrition may recapitulate certain immune and growth changes observed in this disorder. RESULTS: To test this hypothesis, we developed a gnotobiotic murine model of undernutrition using microbiota from human infants with healthy or stunted growth trajectories. Intergenerational colonization with microbiota derived from children with growth stunting lead to less linear growth and the development of immune features of undernutrition and enteropathy, including intestinal villus blunting, lower liver IGF-1 and accumulation of intraepithelial lymphocytes and plasma cells in the small intestine. In contrast, colonization after weaning lead to fewer host phenotypic changes between these distinct microbial communities. CONCLUSIONS: These results are broadly consistent with previous findings demonstrating that exposure of the immune system to microbial products during the weaning phase is a critical determinant of later life immune function. Overall, our results suggest intergenerational colonization with human microbiota samples is a useful approach with which to investigate microbiota-dependent changes in growth and immunity in early life. Murine models that capture the intergenerational and multifactorial nature of undernutrition are critical to understanding the underlying biology of this disorder. Video Abstract.

Mycotoxins and bone growth: a review of the literature on associations between xenobiotic exposure and bone growth and development.

Mycotoxins are secondary metabolites of fungi that are known to be associated with linear growth faltering because of their impact on inflammation, intestinal damage, inhibition of protein synthesis, and micronutrient absorption. In this narrative review, we aim to extend this analysis to further explore associations between mycotoxins (aflatoxins, ochratoxins, trichothecenes including deoxynivalenol, T-2 toxin, and fumonisins) and long-bone growth, particularly during the saltatory periods of development. Linear growth is a direct function of skeletal development and long-bone growth. We therefore explored biological pathways and mechanisms of impact of these toxins in both animal and human studies, in addition to the epidemiology literature (post-2020). Given what is known of the effects of individual and combinations of mycotoxins based on the animal literature, we have identified a need for further research and examination of how these toxins and exposures may be studied in humans to elucidate the downstream impact on bone-related biomarkers and anthropometric indices used to identify and predict stunting in population-based studies.

Impact of indoor Air Pollution on the Linear growth of children in Jimma, Ethiopia.

BACKGROUND: Stunting in children is the term for reduced linear growth and development, which is frequently brought on by a persistently inadequate diet, recurrent infections and chronic diseases or poor health conditions. Apart from the classic covariates of stunting, which include diet and illness, the relative contribution of household air pollution to chronic nutrition conditions is least studied. Hence, this study is conducted to investigate the impact of household air pollution on the linear growth of under-five children in Jimma town, Ethiopia. METHODS: A prospective cohort study was employed to collect data from 280 under-five children who lived in households using solid fuel (exposed group, n = 140) and clean fuel (unexposed group, n = 140). Height-for-age Z scores were compared in both groups over a 12-month follow-up period. The difference in differences estimators were used for comparison of changes in the height-for-age Z scores from baseline to end line in exposed and non-exposed groups. The independent effect of the use of solid fuels on height-for-age Z scores was analyzed through a multivariable linear regression model. Statistical Significances were declared at P < 0.05 and 95% CI level. RESULTS: In an unadjusted model (Model 1), compared with the clean fuel type, the mean difference in the height-for-age Z score of children in households using solid fuel was lower by 0.54 (-0.54, 95% CI -0.97, -0.12, P = 0.011). The beta coefficient remained negative after adjusting for age and sex (Model 2 -0.543, 95% CI -1.373, -0.563) and sociodemographic variables (Model 3: -0.543, 95% CI -1.362, -0.575). In the final model (Model 4), which adjusted for wealth quantile, dietary practice, water, sanitation and hygiene status and household food insecurity access scale, the beta coefficient held the same and significant (beta: -0.543, 95% CI -1.357, -0.579, P < 0.001). Higher HAZ scores were observed among female child (ß: = 0.48, 95%CI: 0.28, 0.69), Child with father attended higher education (ß: = 0.304 95%CI: 0.304, 95% CI 0.19, 0.41) as compared to male gender and those who did not attend a formal education, respectively. In contrast, child living in households with poor hygiene practices had lower HAZ score (ß: -0.226, 95% CI: -0.449, -0.003), P < 0.001. CONCLUSIONS: Exposure to indoor air pollution was inversely related to linear growth. Furthermore, sex, educational status and hygiene were found relevant predictors of linear growth. In such a setting, there is a need to step up efforts to design and implement public education campaigns regarding the health risks associated with exposure to household air pollution. Promoting improvements to kitchen ventilation and the use of improved cooking stoves, which will help to mitigate the detrimental effects of indoor air pollution on child growth impairment and its long-term effects.

Perspective: Connecting the dots between domestic livestock ownership and child linear growth in low- and middle-income countries.

Child stunting due to linear growth faltering remains a pervasive issue in low- and middle-income countries. Two schools of thought have existed pertaining to the role of domestic livestock ownership (DLO) in child linear growth. On one hand, it is argued that DLO leads to greater income and financial security, resulting in better child-raising conditions, including greater animal-source food (ASF) consumption, having protective effects towards child stunting. On the other hand, researchers argue that DLO contributes to faecal contamination and transmission of zoonotic enteric infections from animals to children, thus having destructive effects on child growth. Reviews of this association have revealed ambiguous findings. In this perspective, we argue that measuring the association between exposures to domesticated animals and child stunting is difficult and the ambiguous associations revealed are a result of confounding and differences in the management of DLO. We also argue that the increasingly prominent area of research of environmental enteric dysfunction, a sub-clinical condition of the small intestine thought to be due to frequent faecal pathogen exposure and associated with stunting, will be a useful tool to measure the potential destructive effects of DLO on child growth. We present our argument and identify challenges and considerations and directions for future research.

Building Block Metal Nanocluster-Based Growth in 1D Direction.

Metal nanoclusters with precisely modulated structures at the nanoscale give us the opportunity to synthesize and investigate 1D nanomaterials at the atomic level. Herein, it realizes selective 1D growth of building block nanocluster "Au13 Cd2 " into three structurally different nanoclusters: "hand-in-hand" (Au13 Cd2 )2 O, "head-to-head" Au25 , and "shoulder-to-shoulder" Au33 . Detailed studies further reveals the growth mechanism and the growth-related tunable properties. This work provides new hints for the predictable structural transformation of nanoclusters and atomically precise construction of 1D nanomaterials.

Intestinal flora and linear growth in children.

The gut microbiota plays a critical role in human growth and development as well as the regulation of human pathophysiological processes. According to research, the gut microbiota controls the host's growth and development in areas such as nutrition, metabolism, endocrine hormones, and immune modulation. The human gut microbiota has an important role in child and adolescent growth, especially when nutritional conditions are poor. In this review, we focus on recent findings about the gut microbiota's influence on child growth, including the relationship between the gut microbiota and linear growth during pregnancy, infancy, childhood, and adolescence. Furthermore, we also review some mechanisms by which intestinal flora influence the host's linear growth. Although the data supports a link between intestinal flora and linear development in children, our review has limitations that prohibit us from fully verifying the causal relationship between gut flora and linear development in children. Improving the gut microbiota, in conjunction with renutrition techniques, has the potential to ameliorate the growth and development impairments currently associated with chronic illness and malnutrition in children.

Associations between High Protein Intake, Linear Growth, and Stunting in Children and Adolescents: A Cross-Sectional Study.

BACKGROUND AND AIMS: Childhood and adolescence are critical periods for linear growth and preventing stunting. Current evidence indicates that dietary protein intake in children and adolescents is often two to three times higher than the recommendations in many regions worldwide. However, few studies have focused on the association between high protein intake and linear growth and stunting in this population. We aim to investigate this association in children and adolescents aged 6 to 18 years in a population with relatively high protein consumption. METHODS: We conducted a large cross-sectional study involving 3299 participants from Shenzhen, a modern metropolis of China. Protein intake, including total protein, animal protein, and plant protein, was evaluated by a food-frequency questionnaire and expressed as grams per kilogram of body weight per day (g·kg-1·d-1) and as a percentage of total energy intake (%E). The primary outcomes were body height and height-for-age Z score (HAZ). Generalized linear models and logistic regression analyses were employed to examine the associations between protein intake and outcomes. We also conducted stratified analyses across different genders and pubertal stages in the aforementioned associations. RESULTS: The mean protein intake was 1.81 g·kg-1·d-1 (17% E). After adjusting for serum calcium, zinc, vitamin D3, vitamin A levels, birth outcomes, lifestyle, and parental characteristics, each standard deviation increase of 1 in protein intake (0.64 kg-1·d-1) is found to be associated with a -5.78 cm change in body height (95% CI: -6.12, -5.45) and a -0.79 change in HAZ (95% CI: -0.84, -0.74). Consistent results were observed when protein intake was expressed as %E or specifically as animal or plant protein. Moreover, the relationship between protein intake and linear growth remained consistent across genders in different pubertal stages, similar to that of the overall participants. CONCLUSIONS: Our findings highlight the potential hazards of high protein intake on linear growth in children and adolescents. Caution should be exercised when promoting increased protein consumption in children and adolescents who already have a high intake of protein.

Extrauterine Growth Restriction: Need for an Accurate Definition.

Neonates show considerable variation in growth that can be recognized through serial measurements of basic variables such as weight, length, and head circumference. If possible, measurement of subcutaneous and total body fat mass can also be useful. These biometric measurements at birth may be influenced by demographics, maternal and paternal anthropometrics, maternal metabolism, preconceptional nutritional status, and placental health. Subsequent growth may depend on optimal feeding, total caloric intake, total metabolic activity, genetic makeup, postnatal morbidities, medications, and environmental conditions. For premature infants, these factors become even more important; poor in utero growth can be an important reason for spontaneous or induced preterm delivery. Later, many infants who have had intrauterine growth restriction (IUGR) and are born small for gestational age (SGA) continue to show suboptimal growth below the 10th percentile, a condition that has been defined as extrauterine growth restriction (EUGR) or postnatal growth restriction (PNGR). More importantly, a subset of these growth-restricted infants may also be at high risk of abnormal neurodevelopmental outcomes. There is a need for well-defined criteria to recognize EUGR/PNGR, so that correctional steps can be instituted in a timely fashion.

Evaluating preschool linear growth velocities: an interim reference illustrated in Nepal.

OBJECTIVE: An annualised linear growth velocity (LGV) reference can identify groups of children at risk of growing poorly. As a single velocity reference for all preschool ages does not exist, we present an interim tool, derived from published, normative growth studies, for detecting growth faltering, illustrating its use in Nepali preschoolers. DESIGN: The WHO Child Growth Velocity Standard was adapted to derive 12-month increments and conjoined to the Tanner-Whitehouse Height Velocity Reference data yielding contiguous preschool linear growth annualised velocities. Linear restricted cubic spline regressions were fit to generate sex-specific median and standard normal deviate velocities for ages 0 through 59 months. LGV Z-scores (LGVZ) were constructed, and growth faltering was defined as LGVZ < ­2. SETTING: Use of the reference was illustrated with data from Nepal's Tarai region. PARTICIPANTS: Children contributing the existing growth references and a cohort of 4276 Nepali children assessed from 2013 to 2016. RESULTS: Fitted, smoothed LGV reference curves displayed monotonically decreasing 12-month LGV, exemplified by male/female annual medians of 26·4/25·3, 12·1/12·7, 9·1/9·4, 7·7/7·8 and 7/7 cm/years, starting at 0, 12, 24, 36 and 48 months, respectively. Applying the referent, 31·1 %, 28·6 % and 29·3 % of Nepali children <6, 6­11 and 12­23 months of age, and ∼6 % of children 24­59 months, exhibited growth faltering. Under 24 months, faltering velocities were more prevalent in girls (34·4 %) than boys (25·3 %) (P < 0·05) but comparable (∼6 %) in older preschoolers. CONCLUSIONS: A LGV reference, concatenated from extant data, can identify preschool groups at-risk of growth faltering. Application and limitations are discussed.

Trends and long-term variation explaining nutritional determinants of child linear growth: analysis of Bangladesh Demographic and Health Surveys 1996-2018.

OBJECTIVE: To examine the height-for-age z-score (HAZ) of 0-35 months' children along with stunting prevalence to identify trends, changes and available nutrition-sensitive and specific determinants that could help explain the long-term variation in child linear growth using successive Bangladesh Demographic and Health Surveys (BDHS) data from 1996 to 2018. DESIGN: The BDHS pooled data are used for determining the key outcome variables HAZ, stunting and severe stunting. Trends, kernel-weighted local polynomial smoothing illustrations, pooled multivariable linear probability model (LPM), ordinary least squares method (OLS) and regression decomposition were used. PARTICIPANTS: Mothers having 0-35 months' children, the most critical age range for growth faltering. RESULTS: The mean HAZ increased by 0·91(±1·53) with 0·041 annual average change, while the percentages of stunting (-26·63 ± 0·54) and severe stunting (-21·12 ± 0·48) showed a reduction with 1·21 and 0·96 average annual changes, respectively. The average HAZ improvement (0·42 ± 1·56) in urban areas was less than the rural areas (1·16 ± 1·44). Similar patterns followed for stunting and severe stunting. The prenatal doctor visits (3064·65 %), birth in a medical facility (1054·32 %), breastfeeding initiation (153·18 %) and asset index (144·73 %) demonstrated a huge change. The findings of OLS, LPM and regression decomposition identified asset index, birth order, paternal and maternal education, bottle-fed, prenatal doctor visit, birth in a medical facility, vaccination, maternal BMI and ever-breastfed as influencing factors to predict the long-term changes of stunting and severe stunting. CONCLUSION: The nutrition-sensitive and specific factors identified through regression decomposition describing long-term variation in child linear growth should be focused further to attain the sustainable development goals.