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Introduction: In the current study, we construct growth charts of body surface area (BSA) for adults using the quantile regression (QR) approach and growth charts of different Gaussian Percentiles (Z -scores) against age. Methods: A cross-sectional data consisting of 3,473 individuals aged 5 or more, both males and females were taken from Multan city. Quantile regression (QR) was used to construct BSA growth charts. Growth charts for different Z -scores were also constructed. Results: For our data set, the mean BSA is 0.48750. The BSA percentiles show a trending higher after the age of 5 until the age of 22, then decrease between age 22 and 35, and then finally increase after age 35. The Z -score curve increases slightly after age 5 and then proceeds higher until age 22. After age 22 and before 35 it plateaus and then increases slightly after age 35. Conclusion: Since the use of empirical BSA percentiles and Z -scores with grouped age provides a discrete approximation for the population percentiles and Z -scores, it is more accurate to use continuous BSA percentile and Z -score, curves against given ages while using quantile regression and Z -score approach. Furthermore, this approach can also be adopted to construct many other growth charts for physiological and medical sciences. [ABSTRACT FROM AUTHOR]

Aim: This study aimed to address the critical need for more accurate growth reference charts for preterm infants, with a particular focus on low‐ and very low‐birth‐weight infants. Methods: The subjects were recruited at a single tertiary centre. The cohort comprised singleton and twin infants born before 37 weeks of gestation, with data collected from 2000 to 2016. Standardised measurements of body parameters were recorded in this mixed longitudinal survey. LMS method was utilised for data analysis. Statistical analysis was performed using SPSS Statistics Version 21. The validation with another new cohort was executed. Results: A total of 1781 infants (52.5% boys) met the inclusion criteria. The median gestational age at birth was 30 weeks, with a median birth weight of 1350 grams. The main findings included the construction of ImaGrow charts for low‐ and very low‐birth‐weight infants and significant differences in growth trajectories compared to Fenton+WHO charts. Conclusion: Our comprehensive growth references, ImaGrow, are based on a long‐term auxological assessment of preterm infants and differ from charts derived from size‐at‐birth standards or charts for term babies. These charts have significant implications for clinical practice in monitoring and assessing the growth of preterm infants. [ABSTRACT FROM AUTHOR]

Introduction: Three widely referenced growth curves classify infant birth anthropometric measurements as small (SGA), appropriate (AGA), or large (LGA) for gestational age (GA) differently. We assessed how these differences in assignment affect the identification and prediction of neonatal intensive care unit (NICU) mortality risk in US preterm infants. Methods: Birth data of infants admitted to NICUs from the Pediatrix Clinical Data Warehouse (2013–2018) were analyzed. Birth weight, length, and head circumference of 46,724 singleton infants (24–32 weeks GA) were classified as SGA, AGA, or LGA using the Olsen, Fenton, and INTERGROWTH-21st curves. NICU mortality risk based on birth size classification was analyzed using unadjusted and adjusted logistic regression stratified by GA. Results: Odds of mortality were increased with SGA classification at all GAs, size measurements, and curve sets, compared with AGA infants. LGA classification for weight was associated with lower mortality risk at 24 weeks GA and higher risk at 30 weeks GA. Odds of mortality did not differ significantly across curve sets. Classification of size at birth alone had relatively low predictive ability to identify mortality risk, with unadjusted AUCs near 0.5 for all analyses. Conclusion: There were no significant differences across curve sets in predicting mortality. Classification of size at birth is a relatively imprecise method to identify infants at risk for NICU mortality. [ABSTRACT FROM AUTHOR]

Background: Dental eruption is part of a set of children´s somatic growth phenomena. The worldwide accepted human dental eruption chronology is still based on a small sample of European children. However, evidence points to some population variations with the eruption at least two months later in low-income countries, and local standards may be useful. So, this study aimed to predict deciduous teeth eruption from 12 months of age in a Brazilian infant population. Methods: We developed a cross-sectional study nested in four prospective cohorts – the Brazilian Ribeirão Preto and São Luís Cohort Study (BRISA) – in a sample of 3,733 children aged 12 to 36 months old, corrected by gestational age. We made a reference curve with the number of teeth erupted by age using the Generalized Additive Models for location, scale, and shape (GAMLSS) technique. The explanatory variable was the corrected children´s age. The dependent variable was the number of erupted teeth, by gender, evaluated according to some different outcome distributional forms. The generalized Akaike information criterion (GAIC) and the model residuals were used as the model selection criterion. Results: The Box-Cox Power Exponential method was the GAMLSS model with better-fit indexes. Our estimation curve was able to predict the number of erupted deciduous teeth by age, similar to the real values, in addition to describing the evolution of children's development, with comparative patterns. There was no difference in the mean number of erupted teeth between the sexes. According to the reference curve, at 12 months old, 25% of children had four erupted teeth or less, while 75% had seven or fewer and 95% had 11 or fewer. At 24 months old, 5% had less than 12, and 75% had 18 or more. At 36 months old, around 50% of the population had deciduous dentition completed (20 teeth). Conclusion: The adjusted age was an important predictor of the number of erupted deciduous teeth. This outcome can be a variable incorporated into children's growth and development curves, such as weight and height curves for age to help dentists and physicians in the monitoring the children's health. [ABSTRACT FROM AUTHOR]

Objective: To develop growth charts for weight-for-age, height-for-age, and body mass index (BMI)-for-age for both genders aged 2 to 18 years for Brazilian patients with Williams-Beuren Syndrome (WBS). Methods: This is a multicenter, retrospective, and longitudinal study, data were collected from the medical records of boys and girls with a confirmed diagnosis of WBS in three large university centers in the state of Sao Paulo, Brazil. Growth charts stratified by gender and age in years were developed using LMSchartmaker Pro software. The LMS (Lambda Mu Sigma) method was used to model the charts . The quality of the settings was checked by worm plots. Results: The first Brazilian growth charts for weight-for-age, height-for-age, and BMI-for-age stratified by gender were constructed for WBS patients aged 2 to 18 years. Conclusion: The growth charts developed in this study can help to guide family members and to improve the health care offered by health professionals.

Background: Intracranial volume (ICV) is an important indicator of the development of the brain and skull in children. At present, there is a lack of ICV growth standards based on large infant and children samples. Our aim was to assess the normal range of the ICV variation in Russian children using a modern automatic system for constructing the endocranial cavity (Endex) and to provide growth standards of the ICV for clinical practice. Methods: High-resolution head CT scans were obtained from 673 apparently healthy children (380 boys and 293 girls) aged 0–17 years and transformed into the ICV estimates using the Endex software. The open-source software RefCurv utilizing R and the GAMLSS add-on package with the LMS method was then used for the construction of smooth centile growth references for ICV according to age and sex. Results: We demonstrated that the ICVs estimates calculated using the Endex software are perfectly comparable with those obtained by a conventional technique (i.e. seed feeling). Sex-specific pediatric growth charts for ICV were constructed. Conclusions: This study makes available for use in clinical practice ICV growth charts for the age from 0 to 17 based on a sample of 673 high-resolution CT images. [ABSTRACT FROM AUTHOR]

Beckwith–Wiedemann syndrome (BWS) is an epigenetic overgrowth syndrome. Despite its distinctive growth pattern, the detailed growth trajectories of children with BWS remain largely unknown. We retrospectively analyzed 413 anthropometric measurements over an average of 4.4 years of follow‐up in 51 children with BWS. We constructed sex‐specific percentile curves for height, weight, and head circumference using a generalized additive model for location, scale, and shape. Males with BWS exhibited greater height at all ages evaluated, weight before the age of 10, and head circumference before the age of 9 than those of the general population. Females with BWS showed greater height before the age of 7, weight before the age of 4.5, and head circumference before the age of 7 than those of the general population. At the latest follow‐up visit at a mean 8.4 years of age, bone age was significantly higher than chronological age. Compared to paternal uniparental disomy (pUPD), males with imprinting center region 2‐loss of methylation (IC2‐LOM) had higher standard deviation score (SDS) for height and weight, while females with IC2‐LOM showed larger SDS for head circumference. These disease‐specific growth charts can serve as valuable tools for clinical monitoring of children with BWS. [ABSTRACT FROM AUTHOR]

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Objective: To develop growth charts for weight-for-age, height-for-age, and body mass index (BMI)-for-age for both genders aged 2 to 18 years for Brazilian patients with Williams-Beuren Syndrome (WBS). Methods: This is a multicenter, retrospective, and longitudinal study, data were collected from the medical records of boys and girls with a confirmed diagnosis of WBS in three large university centers in the state of Sao Paulo, Brazil. Growth charts stratified by gender and age in years were developed using LMSchartmaker Pro software. The LMS (Lambda Mu Sigma) method was used to model the charts . The quality of the settings was checked by worm plots. Results: The first Brazilian growth charts for weight-for-age, height-for-age, and BMI-for-age stratified by gender were constructed for WBS patients aged 2 to 18 years. [ABSTRACT FROM AUTHOR]

BackgroundThe physical health of adolescents is crucial for the prosperity and sustainable development of a nation. Developing specific growth standards is essential for prioritizing the wellbeing of the youth of Pakistan. This study aimed to establish normative standards for height, weight, and body mass index (BMI) among 12- to 16-year-olds in South Punjab, facilitating accurate health assessments and tailored interventions.MethodThis study utilized a cross-sectional design and stratified random sampling to select 2,970 adolescents (49.73% boys and 50.26% girls) aged 12–16 years from South Punjab, Pakistan. Anthropometric measurements, including height, weight, and BMI, were collected. The data were stratified by age and sex, and smoothed percentile curves were computed using the LMS method, which incorporates the L (γ-lambda), M (μ-mu), and S (δ-sigma) parameters. The results were compared to international references to provide a comprehensive analysis.ResultsThe results highlight sex-specific trends in anthropometric indicators among adolescents. Boys exhibited higher mean values in height (160.50 ± 11.50 cm), weight (45.02 ± 9.78 kg), and BMI (17.30 ± 2.41) than girls (158.57 ± 9.34 cm, 41.00 ± 7.89 kg, and 16.29 ± 2.82, respectively). Growth patterns indicate boys grow faster in height and weight between ages 12 and 14, whereas girls show slower annual increases. Comparative analysis with international standards reveals that boys’ height and weight were generally lower than international medians (P50th), whereas girls’ height was comparable or higher. BMI values for both sexes were lower than international norms, reflecting unique regional growth patterns.ConclusionThis research establishes updated age- and sex-specific normative reference standards for adolescents in South Punjab, Pakistan. The study revealed that Pakistani adolescent boys exhibit higher mean values in height, weight, and BMI than girls, with faster growth rates between ages 12 and 14. Compared to international standards, Pakistani adolescents show lower BMI values, highlighting unique regional growth patterns. These standards have practical applications in screening, monitoring, and health strategy planning, contributing to efforts to promote a healthier future for the population. Future studies are recommended to utilize these local growth references for health surveillance and treatment in the local population.

Abstract Background Dental eruption is part of a set of children´s somatic growth phenomena. The worldwide accepted human dental eruption chronology is still based on a small sample of European children. However, evidence points to some population variations with the eruption at least two months later in low-income countries, and local standards may be useful. So, this study aimed to predict deciduous teeth eruption from 12 months of age in a Brazilian infant population. Methods We developed a cross-sectional study nested in four prospective cohorts – the Brazilian Ribeirão Preto and São Luís Cohort Study (BRISA) – in a sample of 3,733 children aged 12 to 36 months old, corrected by gestational age. We made a reference curve with the number of teeth erupted by age using the Generalized Additive Models for location, scale, and shape (GAMLSS) technique. The explanatory variable was the corrected children´s age. The dependent variable was the number of erupted teeth, by gender, evaluated according to some different outcome distributional forms. The generalized Akaike information criterion (GAIC) and the model residuals were used as the model selection criterion. Results The Box-Cox Power Exponential method was the GAMLSS model with better-fit indexes. Our estimation curve was able to predict the number of erupted deciduous teeth by age, similar to the real values, in addition to describing the evolution of children’s development, with comparative patterns. There was no difference in the mean number of erupted teeth between the sexes. According to the reference curve, at 12 months old, 25% of children had four erupted teeth or less, while 75% had seven or fewer and 95% had 11 or fewer. At 24 months old, 5% had less than 12, and 75% had 18 or more. At 36 months old, around 50% of the population had deciduous dentition completed (20 teeth). Conclusion The adjusted age was an important predictor of the number of erupted deciduous teeth. This outcome can be a variable incorporated into children’s growth and development curves, such as weight and height curves for age to help dentists and physicians in the monitoring the children’s health.

Pediatric growth faltering (GF), previously known as failure to thrive and now also called pediatric malnutrition and weight faltering, is a common clinical finding in primary care. Most pediatric GF cases are caused by inadequate caloric intake, not organic disease states. Evaluation requires clinicians to obtain detailed nutritional, medical, psychosocial, and family histories; take accurate anthropometric measurements; and perform a careful physical examination. Evaluation findings should be analyzed to determine whether targeted diagnostic workup, specialty referral, or a trial of nutritional counseling is indicated. Management includes caregiver education about childhood nutrition and frequent monitoring of growth parameters. A multidisciplinary approach that includes nutritionist, developmental therapist, and other specialty team member involvement is desirable. [ABSTRACT FROM AUTHOR]

We present a unified framework able to fit the entire quantile process, namely to estimate simultaneously multiple non-crossing quantile curves. The framework relies on assuming each regression parameter varies smoothly across the percentile direction according to B-splines whose coefficients obey proper restrictions. Multiple linear and penalized smooth terms are allowed and the corresponding tuning parameters are estimated efficiently as part of the model fitting. Monotonicity and concavity constraints on the smoothed relationships are also easily accounted for in the framework. Simulation results provide evidence our proposal exhibits good statistical performance with respect to competitors while guaranteeing the non-crossing property and modest computational load. Analyses on a real dataset related to vocabulary size growth are presented to illustrate the model capability in practice. [ABSTRACT FROM AUTHOR]

Purpose: Abnormal fetal brain measurements might affect clinical management and parental counseling. The effect of between-field-strength differences was not evaluated in quantitative fetal brain imaging until now. Our study aimed to compare fetal brain biometry measurements in 3.0 T with 1.5 T scanners. Methods: A retrospective cohort of 1150 low-risk fetuses scanned between 2012 and 2021, with apparently normal brain anatomy, were retrospectively evaluated for biometric measurements. The cohort included 1.5 T (442 fetuses) and 3.0 T scans (708 fetuses) of populations with comparable characteristics in the same tertiary medical center. Manually measured biometry included bi-parietal, fronto-occipital and trans-cerebellar diameters, length of the corpus-callosum, vermis height, and width. Measurements were then converted to centiles based on previously reported biometric reference charts. The 1.5 T centiles were compared with the 3.0 T centiles. Results: No significant differences between centiles of bi-parietal diameter, trans-cerebellar diameter, or length of the corpus callosum between 1.5 T and 3.0 T scanners were found. Small absolute differences were found in the vermis height, with higher centiles in the 3.0 T, compared to the 1.5 T scanner (54.6th-centile, vs. 39.0th-centile, p < 0.001); less significant differences were found in vermis width centiles (46.9th-centile vs. 37.5th-centile, p = 0.03). Fronto-occipital diameter was higher in 1.5 T than in the 3.0 T scanner (66.0th-centile vs. 61.8th-centile, p = 0.02). Conclusions: The increasing use of 3.0 T MRI for fetal imaging poses a potential bias when using 1.5 T-based charts. We elucidate those biometric measurements are comparable, with relatively small between-field-strength differences, when using manual biometric measurements. Small inter-magnet differences can be related to higher spatial resolution with 3 T scanners and may be substantial when evaluating small brain structures, such as the vermis. [ABSTRACT FROM AUTHOR]

Aim: We aimed to gain insights into current nutritional management practices of late preterm infants (34–36 weeks gestational age) in Nigeria. Methods: Purposive sampling was employed to recruit 19 healthcare professionals (neonatologists, paediatricians, general practitioners and nurses) involved in the care and nutritional management of late preterm infants in Lagos and Ogun states, Nigeria. Data were collected using interviews, either individually or in small focus groups, between 15 August and 6 September 2022. Thematic analysis of interview transcripts was carried out to interpret the data. Results: Ten distinct themes emerged across the research questions and objectives. For growth monitoring, 11, 6, 1 and 1 of our participants preferred to use the 2006 WHO growth standards, Fenton preterm growth chart, Ballard score and Intergrowth‐21, respectively. Regarding the growth velocity of late preterm infants, most healthcare professionals aimed for 15 g/kg BW/day or more during hospitalisation. Breastmilk was unanimously the primary feeding option for late preterm infants. Most healthcare professionals preferred to use international guidelines over local guidelines. Conclusion: Our study shows that there is a wide divergence in the nutritional guidelines used in managing late preterm infants in Nigeria. Regarding growth monitoring, healthcare professionals tended to aim for a growth velocity higher than necessary for late preterm infants, which may be disadvantageous for their long‐term health. [ABSTRACT FROM AUTHOR]

Background: The nutritional status of the child can be measured by using anthropometry which is the valuable tool and the gold standard method. The magnitude of different measures of nutritional status is affected by choice of reference charts used. Objective: To compare the world Health Organization growth charts with Indian academy of pediatrics growth charts to assess the malnutrition among under 5 children attending Urban health center of a medical College. Methodology: A cross sectional study was conducted among 220 children attended urban health centre of SS. Institute of Medical Sciences for a period of 4 months. Height and weight were measured and plotted on World Health Organization and Indian Academy of Pediatrics charts. Results: In this study underweight was detected among 46.9% of the boys and 43.8% of the girls and stunting was detected among 50.4% of the boys and 43.8% of the girls by using World Health Organization Growth Charts. According to Indian academy of Pediatrics, 32.1% of the boys and 38% of the girls were found to be undernourished and Stunting was detected among 53.9% of the boys and 68.8% of the girls. Conclusion: In this study both the growth charts showed variation in the height and weight measurements.

ObjectiveThe aim of study is to compare the performance of ultrasonographic customized and population fetal growth standards for prediction adverse perinatal outcomes.Study designThis was a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be, in which l data were collected at visits throughout pregnancy and after delivery. Percentiles were assigned to estimated fetal weights (EFWs) measured at 22 to 29 weeks using the Hadlock population standard and a customized standard (www.gestation.net). Areas under the curve were compared for the prediction of composite and severe composite perinatal morbidity using EFW percentile.ResultsAmong 8,701 eligible study participants, the population standard diagnosed more fetuses with fetal growth restriction (FGR) than the customized standard (5.5 vs. 3.5%, p

Fetal growth restriction (FGR) in dichorionic diamniotic (DCDA) twin gestations is a known complication associated with adverse neonatal outcomes. The international guidelines have no consensus on whether to use singleton or twin-specific growth charts. Thus, we aimed to compare growth charts in correlation with pregnancy outcomes and placental histopathology. The medical files of all DCDA twin deliveries between 2010 and 2020 were reviewed. Birthweight percentile for gestational age (GA) for each individual neonate was assigned using the updated local singleton and twin-specific growth chart. We then divided the study population into two groups, neonates that were FGR based on the local singleton charts (FGR-singleton group) versus FGR on both twin-specific and singleton charts (FGR-twin group). Placental lesions were classified as lesions related to maternal or fetal malperfusion lesions (MVM, FVM), vascular and villous changes, and inflammatory lesions. Overall, 185 neonates met the inclusion criteria. The FGR-twin group (59/185) had a higher rate of PE, lower GA at delivery, lower birthweight, and a higher rate of neonatal composite adverse outcomes compared to the FGR-singleton group. Moreover, placental pathology of the FGR-twin group demonstrated a higher rate of MVM lesions (p = 0.035). In our cohort, neonates considered FGR based on twin-specific charts had worse neonatal outcomes with underlying placental insufficiency demonstrated by a higher rate of placental malperfusion vascular lesions. Our findings support using a twin-specific chart to diagnose FGR that is more clinically relevant. • Neonates considered FGR based on twin-specific charts had worse neonatal outcomes. • Underlying placental insufficiency was also demonstrated. • Our findings support using a twin-specific chart to diagnose FGR. [ABSTRACT FROM AUTHOR]

Introduction. Percentiles of birth weight by gestational age (GA) are an essential tool for clinical assessment and initiating interventions to reduce health risks. Unfortunately, Poland lacks a reference chart for assessing newborn growth based on the national population. This study aimed to establish a national reference range for birth weight percentiles among newborns from singleton deliveries in Poland. Additionally, we sought to compare these percentile charts with the currently used international standards, INTERGROWTH-21 and WHO. Materials and Methods. All singleton live births (n = 3,745,239) reported in Poland between 2010 and 2019 were analyzed. Using the Lambda Mu Sigma (LMS) method, the Generalized Additive Models for Location Scale, and Shape (GAMLSS) package, smoothed percentile charts (3–97) covering GA from 23 to 42 weeks were constructed. Results. The mean birth weight of boys was 3453 ± 540 g, and this was higher compared with that of girls (3317 ± 509 g). At each gestational age, boys exhibited higher birth weights than girls. The weight range between the 10th and 90th percentiles was 1061 g for boys and 1016 g for girls. Notably, the birth weight of Polish newborns was higher compared to previously published international growth standards. Conclusion. The reference values for birth weight percentiles established in this study for Polish newborns differ from the global standards and are therefore useful for evaluating the growth of newborns within the national population. These findings hold clinical importance in identifying neonates requiring postbirth monitoring. [ABSTRACT FROM AUTHOR]

Introduction: The Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO) created separate growth charts for girls and boys because growth patterns and rates differ between sexes. However, scenarios exist in which this dichotomizing "girls versus boys" approach may not be ideal, including the care of non-binary youth or transgender youth undergoing transitions consistent with their gender identity. There is therefore a need for growth charts that age smooth differences in pubertal timing between sexes to determine how youth are growing as "children" versus "girls or boys" (e.g., ageand sex-neutral, compared to age- and sex-specific, growth charts). Methods: Employing similar statistical techniques and datasets used to create the CDC 2000 growth charts, we developed age-adjusted, sex non-specific growth charts for height, weight, and body mass index (BMI), and z-score calculators for these parameters. Specifically, these were created using anthropometric data from five US cross-sectional studies including National Health Examination Surveys II-III and National Health and Nutrition Examination Surveys I-III. To illustrate contemporary clinical practice, we overlaid our charts on CDC 2000 girls and boys growth charts. Results: 39,119 youth 2-20 years old (49.5% female; 66.7% non-Hispanic White; 21.7% non-Hispanic Black) were included in the development of our growth charts, reference ranges, and z-score calculators. Respective curves were largely superimposable through around 10 years of age after which, coinciding with pubertal onset timing, differences became more apparent. Discussion: We conclude that age-adjusted, sex non-specific growth charts may be used in clinical situations such as transgender youth in which standard "girls versus boys" growth charts are not ideal. Until longitudinal auxological data are available in these populations, our growth charts may help to assess a transgender youth's growth trajectory and weight classification, and expectations surrounding these. [ABSTRACT FROM AUTHOR]

Craniofacial dysmorphism is associated with thousands of genetic and environmental disorders. Delineation of salient facial characteristics can guide clinicians towards a correct clinical diagnosis and understanding the pathogenesis of the disorder. Abnormal facial shape might require craniofacial surgical intervention, with the restoration of normal shape an important surgical outcome. Facial anthropometric growth curves or standards of single inter-landmark measurements have traditionally supported assessments of normal and abnormal facial shape, for both clinical and research applications. However, these fail to capture the full complexity of facial shape. With the increasing availability of 3D photographs, methods of assessment that take advantage of the rich information contained in such images are needed. In this article we derive and present open-source three-dimensional (3D) growth curves of the human face. These are sequences of age and sex-specific expected 3D facial shapes and statistical models of the variation around the expected shape, derived from 5443 3D images. We demonstrate the use of these growth curves for assessing patients and show that they identify normal and abnormal facial morphology independent from age-specific facial features. 3D growth curves can facilitate use of state-of-the-art 3D facial shape assessment by the broader clinical and biomedical research community. This advance in phenotype description will support clinical diagnosis and the understanding of disease pathogenesis including genotype-phenotype relations.

Background: Growth charts have been used worldwide for about 40 years, but their use has always been fraught with problems. Objectives: Assessment the knowledge and challenges among healthcare providers regarding the utilization of growth charts in primary healthcare practice. Materials and Methods: A cross-sectional study was aimed to assess healthcare providers’ knowledge toward growth chart in Al-Hilla city—Babylon Governorate—Iraq, during the period from the beginning of first January till April/2022. Data were collected using a self-administered questionnaire filled by physicians and nurses enrolled in this study after obtaining their verbal consents. Results: Seventy percent health workers were studied to determine their knowledge toward growth chart utilization, 51.4 were physicians, male-to-female ratio was 1:7. Results of this study revealed that 41.4% of participants had poor knowledge. Only 54.3% of the participants were exposed to previous training courses. There were significant associations between good knowledge and age group 30–39 years and exposure to combined training (theoretical and practical). Conclusions: More than half of the studied healthcare workers had good knowledge; the levels of knowledge are significantly associated with age, number, and duration of previous training.

Growth measurements are largely uninterpretable without comparison to a growth chart. Consequently, the characteristics of a growth chart become an integral component of the interpretation of growth measurements. The concepts of optimal growth and tempo are well recognised by auxologists, yet their implications for interpretation of growth measurements remain problematic. This narrative review discusses the concept of optimal growth and how it serves as a guiding principle in the development and use of growth charts. The challenges of operationalising tempo for growth assessment are also discussed. Illustrative examples highlight the importance of these two central concepts in the use and interpretation of growth measurements.

IntroductionThe Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO) created separate growth charts for girls and boys because growth patterns and rates differ between sexes. However, scenarios exist in which this dichotomizing “girls versus boys” approach may not be ideal, including the care of non-binary youth or transgender youth undergoing transitions consistent with their gender identity. There is therefore a need for growth charts that age smooth differences in pubertal timing between sexes to determine how youth are growing as “children” versus “girls or boys” (e.g., age- and sex-neutral, compared to age- and sex-specific, growth charts).MethodsEmploying similar statistical techniques and datasets used to create the CDC 2000 growth charts, we developed age-adjusted, sex non-specific growth charts for height, weight, and body mass index (BMI), and z-score calculators for these parameters. Specifically, these were created using anthropometric data from five US cross-sectional studies including National Health Examination Surveys II-III and National Health and Nutrition Examination Surveys I-III. To illustrate contemporary clinical practice, we overlaid our charts on CDC 2000 girls and boys growth charts.Results39,119 youth 2-20 years old (49.5% female; 66.7% non-Hispanic White; 21.7% non-Hispanic Black) were included in the development of our growth charts, reference ranges, and z-score calculators. Respective curves were largely superimposable through around 10 years of age after which, coinciding with pubertal onset timing, differences became more apparent.DiscussionWe conclude that age-adjusted, sex non-specific growth charts may be used in clinical situations such as transgender youth in which standard “girls versus boys” growth charts are not ideal. Until longitudinal auxological data are available in these populations, our growth charts may help to assess a transgender youth’s growth trajectory and weight classification, and expectations surrounding these.

ABSTRACT BACKGROUND: Nutritional status and growth curves can affect cognitive development, increase the risk of infection, and contribute to the development of chronic diseases. Its etiology is related to food, socioeconomic, and maternal conditions. However, to date, no data on these parameters exist in the state of Goiás, Brazil. OBJECTIVE: To compare the nutritional status and growth curves of children and adolescents in the city of Goiânia, Goiás, Brazil. DESIGN AND SETTING: This was a cross-sectional study. A total of 529 individuals were recruited from a primary health center in the municipality. METHODS: To assess nutritional status, the sample was divided into three categories: 3–4, 5–10, and 11–19 years, with z-score classification considering body mass index for age. The classification of growth curves was performed considering the median height values for age, assuming two references: (a) young Brazilian population and (b) one recommended for international use. The independent sample T-test was used to compare anthropometric variables. RESULTS: The results showed that the classification of eutrophics represents a predominant percentage between both sexes (men: 03–04 = 55.4%; 05–10 = 57.6%; 11–19 = 53.5 % and women: 03–04 = 53.5%; 05–10 = 63.9%; 11–19 = 56.9%), and growth curves showed differences in specific periods in both sexes. CONCLUSIONS: It can be concluded that children and adolescents from the city of Goiânia present as predominance the eutrophic nutritional status, followed by the risk of overweight, underweight, obesity, and malnutrition of both sexes.

Introduction: Growth is a complex process and influenced by genetic back ground, different functions of endocrine system, nutrition, effect of any chronic disease and the level of individual physical activity. Regular height measurement is one of the methods to evaluate growth. Short stature might be the first sign of various pathological conditions. Early recognition of short stature allows early intervention optimising the possibility of achieving good health and normal adult height. Community based studies utilising standard protocols are less from India as many studies are limited to children visiting tertiary care centre with complaints of short stature. Aim: The present study aimed to assess the prevalence and aetiological profile of short stature in urban school children of Bangalore. Materials and Methods: This prospective observational study was conducted among five schools in Devarajevanahalli, Bangalore from November 2015 to January 2017. Written informed consent was taken from the principal. Children from 6-11 years were recruited into this study till the sample size was reached. Total of 1128 children were chosen for the study. Anthropometric measurements like height, weight, Body Mass Index (BMI) was done. Height was plotted in Indian Academy of Pediatrics (IAP) growth charts. Those with height <3rd centile were considered of short stature. Children with short stature were followed after one year to see for height velocity. Children with height velocity of <25th centile were evaluated. Detailed history focussing on nutrition and complete physical examination, relevant investigations were done. The cause of short stature in them was assessed and grouped into physiological and pathological short stature. Continuous variables like height, weight, BMI were presented as mean [standard deviation (SD)] and were compared using unpaired t-test. Categorical variable like gender, height velocity were expressed as actual numbers and percentages and association was done using Chi-square test. Height between age categories among boys and girls was compared using ANOVA test. Results: Out of 1128 school children, 62 were found to be short. The prevalence of short stature was 5.50%. Among 62 children, 31 children remained short after one year. Out of 31, only 22 children were investigated as remaining were not willing for investigations. Out of 22 children, pathological short stature was found in 13 (59.1%) and physiological short stature in nine (40.9%). In pathological short stature, chronic malnutrition with Iron Deficiency Anaemia (IDA) is in 10 (45.5%). Hypothyroidism, idiopathic short stature, uncontrolled asthma was seen in one each (4.5%). In physiological short stature, familial short stature was found in six (27.3%) and constitutional delay of growth and puberty in three (13.6%). Conclusion: Overall prevalence of short stature was 5.50% and it represents a significant percentage of our society which needs proper attention. Chronic malnutrition with IDA was most common cause of short stature in this study. As significant percentage of children had treatable causes, growth monitoring with standard growth charts should be mandatory in all schools. [ABSTRACT FROM AUTHOR]

Objective: To compare Fenton and Intergrowth-21st growth charts in assessing the growth pattern of preterm infants at birth and at discharge. Methods: This is a retrospective study conducted over a period of 1 year. The study included the neonates born at ≤34 weeks of gestation who are admitted and stayed for ≥14 days in our hospital. The data was collected from discharge sheets and electronic database. The weight of all babies at birth and at discharge was collected. Growth was assessed based on Fenton and Intergrowth-21st growth charts. The small for gestational age (SGA) was defined as birth weight ≤-1.28SD. The extrauterine growth restriction (EUGR) status of babies was assessed by a criteria of ≤-1.28SD at discharge. Results: Most common preterm phenotype was spontaneous preterm labor (47.4%), and the rate of singleton birth was 78.9%. The mean gestational age and birth weight of babies were 31.6±1.42 weeks and 1608.06±275 g, respectively. We found the rates of SGA in our group 15.2% and 13.5%, and appropriate for gestational age (AGA) 80.5% and 82.2%, respectively by using Intergrowth and Fenton growth charts. The EUGR rates in our group were 72.8% and 81.3%, respectively, on Intergrowth-21st and Fenton growth charts using a criteria of ≤-1.28SD at discharge. Conclusion: There is no statistical difference between Fenton and Intergrowth-21st charts in identifying SGA and EUGR. However, the rate of EUGR is higher in Fenton charts than intergrowth-21st charts. [ABSTRACT FROM AUTHOR]

Anthropometric measurements are the first step in determining the health status in children and adolescents. Clinicians require standardized protocols for proper assessment and interpretation. Therefore, this study aims to review the literature of international and Saudi national guidelines and studies previously conducted in Saudi children and adolescents to provide recommendations to establish Saudi guidelines in line with the Saudi 2030 Vision. Systematic search was conducted in several databases: Medline, PubMed, Saudi Digital Library and Google Scholar from January 1990 to January 2021. Further, 167 studies measured anthropometrics in Saudi children/adolescents; 33 of these studies contributed to the establishment/adjustment of Saudi growth charts or specific cutoffs or studied the trend of growth in representative samples or adjusted the international curves to be used in Saudis. This review warrants updating growth charts and establishing the standard cutoffs of Saudi adolescent anthropometrics to avoid over/underreporting. This review provides insights and recommendations regarding the resources that can be used to establish national guidelines in anthropometric measurements for Saudi children/adolescents. This review will help policymakers and the Ministry of Health to establish standardized protocols to be used in Saudi Arabia for anthropometric measurements that may assist in detecting malnutrition. [ABSTRACT FROM AUTHOR]

Abstract Background Most indigenous people (Orang Asli in Peninsular Malaysia) live in poverty, and their children are at risk of growth problems due to nutrition deficiency. Routine health and growth assessments are essential to identify these children. This clinical audit aimed to determine the growth management of indigenous children and the prevalence of underweight among these children in Perak state, Malaysia. Methods A clinical audit was conducted in 2016 after obtaining consensus from stakeholders for audit criteria, forms, and procedures. All weight-for-age growth charts of Orang Asli children aged 2 and below were sampled for retrospective audit. This audit excluded children who required special needs. Growth charts were examined against audit criteria: (i) quality of growth chart plotting (charts were not plotted, incompletely plotted, or incorrectly plotted), (ii) presence of underweight, and (iii) appropriateness of action taken (appropriate or inappropriate action) according to local standard operating policies. Eligible auditors were first trained using simulated growth charts. Results Out of 1329 growth charts audited, 797 (60%) growth charts were correctly plotted, 527 (39.7%) were incompletely or incorrectly plotted, and five (0.3%) were not plotted. Overall, 40.0% of the growth chart was plotted incorrectly or completely not plotted. 550 (41.4%) children were found to be underweight, and 71.5% of them received inappropriate care management. Where growth charts were correctly plotted, 283 children were identified with underweight problems, and 194 (68.6%) of them received inappropriate care. For growth charts that were plotted incompletely or incorrectly, 267 children were identified as having underweight problems, and 199 (74.5%) received inappropriate care. The growth status of 265 (19.9%) children was unable to be determined due to incomplete plotting. Conclusion Approximately 40% of indigenous Orang Asli children aged 2 years and under were underweight, and most of them received inappropriate care.

ackground: Assessment of fetal growth is a major part of antenatal and perinatal care. It reflects the intrauterine environment quality. Developed countries seem to have larger fetuses than developing countries. Birth body length and head circumference (HC) of the newborn are crucial prognostic parameters in determining intrauterine growth. Aim of work: We aimed to pilot a study to determine whether Fenton charts are applicable to Egyptian preterms. Materials and Methods: This single-center cross-sectional pilot study included 2001 preterm newborns < 37 weeks gestational age. A single measurement of weight, length, and HC was measured at birth from preterms who were not born to diabetic mothers, or mothers with hypertension, do not have chromosomal or structural abnormalities, congenital cyanotic heart diseases, intrauterine growth retardation, and multiple births. We created anthropometric measurements curves using Lambda Mu Sigma (LMS) chart-maker Pro (version 2, 2006) and compared them with Fenton growth charts for preterms. Results: The weight percentiles of our studied preterms were similar to those of Fenton´s in all gestational ages. The 3rd percentile of length among female preterms, and their 3rd and 97th percentiles for head circumference were significantly higher than Fenton’s data (p = 0.018). Only the 3rd and 97th percentiles of HC measurements for our studied boys were significantly higher than Fenton’s measurements (p =0.031) and (p =0.016) respectively. Boys (n=1063) were heavier than girls (n= 983) (p = 0.003). Boys were taller than girls, and had bigger head circumference than girls (p = 0.009) and (p=0.000) respectively. Conclusion: Anthropometric measurements of our large studied cohort of preterms was in close agreement of the measurements of Fenton growth charts, apart from the larger head circumference encountered among our studied cohort. Fenton charts are applicable to Egyptian preterms.

Growth measurements are largely uninterpretable without comparison to a growth chart. Consequently, the characteristics of a growth chart become an integral component of the interpretation of growth measurements. The concepts of optimal growth and tempo are well recognised by auxologists, yet their implications for interpretation of growth measurements remain problematic. This narrative review discusses the concept of optimal growth and how it serves as a guiding principle in the development and use of growth charts. The challenges of operationalising tempo for growth assessment are also discussed. Illustrative examples highlight the importance of these two central concepts in the use and interpretation of growth measurements. [ABSTRACT FROM AUTHOR]

To optimize care for children with Marfan syndrome (MFS) in the Netherlands, Dutch MFS growth charts were constructed. Additionally, we aimed to investigate the effect of FBN1 variant type (haploinsufficiency [HI]/dominant negative [DN]) on growth, and compare MFS‐related height increase across populations. Height and weight data of individuals with MFS aged 0–21 years were retrospectively collected. Generalized Additive Models for Location, Scale and Shape (GAMLSS) was used for growth chart modeling. To investigate genotype–phenotype relationships, FBN1 variant type was included as an independent variable in height‐for‐age and BMI‐for‐age models. MFS‐related height increase was compared with that of previous MFS growth studies from the United States, Korea, and France. Height and weight data of 389 individuals with MFS were included (210 males). Height‐for‐age, BMI‐for‐age, and weight‐for‐height charts reflected the tall and slender MFS habitus throughout childhood. Mean increase in height of individuals with MFS compared with the general Dutch population was significantly lower than in the other three MFS populations compared to their reference populations. FBN1‐HI variants were associated with taller height in both sexes, and decreased BMI in females (p‐values <0.05). This Dutch MFS growth study broadens the notion that genetic background and MFS variant type (HI/DN) influence tall and slender stature in MFS. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to investigate the growth patterns of Bahraini female and male infants/young children aged 0–24 months in the Kingdom of Bahrain. Methods: A cross-sectional approach was employed to track the growth parameters among healthy Bahraini female and male infants/children aged 0–24 months. A multistage probability sampling criteria was used to collect information from official records. Anthropometric measurements (weight and length) and demographic characteristics on feeding practices were gathered. Generalized Additive Models for Location Scale and Shape (GAMLSS)/Lambda-Mu-Sigma methodology was implemented to select distribution type, optimize smoothing parameters, perform regression of growth models, and construct percentiles and Z-score charts and tables for weight for age, length for age, length for weight, and body mass index (BMI) for age. Results: Findings were compared with WHO Multicentre Growth Reference Study (MGRS) data. A total of 403 healthy infants/ children (210 males and 193 females) were recruited. At birth, the mean weight, length, and BMI were 3.2±0.4 kg, 3.1±0.4 kg, 49.7±2.3 cm, 48.8±2.1 cm, 13.2±1.6 kg/m2, and 12.8±1.5 kg/m2 for males and females, respectively. Anthropometrics of males were all statistically significantly higher than those of females at all age levels. The length and weight of the Bahraini infants/ children were slightly higher than those of the WHO-MGRS. Conclusion: The outcomes of this study, presented as charts and tables, showed significant differences in comparison with the WHOMGRS reference charts. Specifically, Bahraini children aged between 0 and 24 months of both sexes were taller and heavier than their cohorts in the MGRS reference charts. Further longitudinal studies are needed for monitoring the growth pattern of children using body composition methods, adiposity markers, and determinant factors of growth to investigate this deviation from the WHO-MGRS. [ABSTRACT FROM AUTHOR]

Background: INTERGROWTH-21st Newborn Cross-Sectional Study (NCSS) charts were established and recommended for global application. However, whether one international reference is appropriate for all populations is still unclear. We aim to compare the updated Chinese birth size charts by gestational age with INTERGROWTH-21st NCSS charts. Methods: A cross-sectional survey was carried out, and the birth weight, length and head circumference of 24,375 infants born after uncomplicated pregnancies at gestational age ranging from 24+0 to 42+6 weeks were measured in 13 cities in China from 2015 to 2018. Growth charts were constructed. The measurements of all these infants were evaluated by the methods of calculating their Z scores using the INTERGROWTH-21st standards. The prevalence of small for gestational age (SGA) and large for gestational age (LGA) based on birth weight was analyzed using Chinese charts and INTERGROWTH-21st charts. Results: The mean Z scores were 0.10 for birth weight, 0.35 for length and − 0.02 for head circumference. Compared to the INTERGROWTH-21st charts, the Chinese birth weight percentile curves were higher except for the 90th percentile at 29–37 weeks gestational age, and the length percentile curves were higher after 33 weeks gestational age, while the 10th percentile of the head circumference was lower and the other percentiles were similar. The prevalence of SGA was 10.1% [95% confidence interval (CI) = 9.7%–10.5%] using the Chinese birth weight chart and 6.5% (95% CI = 6.2%–6.8%) using the INTERGROWTH-21st birth weight chart. The prevalence of LGA was 9.9% (95% CI = 9.5%–10.2%) and 8.2% (95% CI = 7.9%–8.6%) using the Chinese and INTERGROWTH-21st birth weight charts, respectively. Conclusions: Chinese birth size charts based on infants born after uncomplicated pregnancies were different from the INTERGROWTH-21st charts. Differences in the classification of newborns by the two charts should receive attention, and whether the application of INTERGROWTH-21st in Chinese newborns will lead to misclassification needs to be validated in future clinical practice. [ABSTRACT FROM AUTHOR]

IntroductionThere is no global consensus as to which standards are the most appropriate for the assessment of birth weight and length. The study aimed to compare the applicability of regional and global standards to the Lithuanian newborn population by sex and gestational age, based on the prevalence of small or large for gestational age (SGA/LGA).Materials and MethodsAnalysis was performed on neonatal length and weight data obtained from the Lithuanian Medical Birth Register from 1995 to 2015 (618,235 newborns of 24–42 gestational weeks). Their distributions by gestation and sex were estimated using generalized additive models for location, scale, and shape (GAMLSS), and the results were compared with the INTERGROWTH-21st (IG-21) standard to evaluate the prevalence of SGA/LGA (10th/90th centile) at different gestational ages.ResultsThe difference in median length at term between the local reference and IG-21 was 3 cm–4 cm, while median weight at term differed by 200 g. The Lithuanian median weight at term was higher than in IG-21 by a full centile channel width, while the median length at term was higher by two channel widths. Based on the regional reference, the prevalence rates of SGA/LGA were 9.7%/10.1% for boys and 10.1%/9.9% for girls, close to the nominal 10%. Conversely, based on IG-21, the prevalence of SGA in boys/girls was less than half (4.1%/4.4%), while the prevalence of LGA was double (20.7%/19.1%).DiscussionRegional population-based neonatal references represent Lithuanian neonatal weight and length much more accurately than the global standard IG-21 which provides the prevalence rates for SGA/LGA that differ from the true values by a factor of two.

Abstract Objective: The aim of this study was to investigate the growth patterns of Bahraini female and male infants/young children aged 0–24 months in the Kingdom of Bahrain. Methods: A cross-sectional approach was employed to track the growth parameters among healthy Bahraini female and male infants/children aged 0–24 months. A multistage probability sampling criteria was used to collect information from official records. Anthropometric measurements (weight and length) and demographic characteristics on feeding practices were gathered. Generalized Additive Models for Location Scale and Shape (GAMLSS)/Lambda-Mu-Sigma methodology was implemented to select distribution type, optimize smoothing parameters, perform regression of growth models, and construct percentiles and Z-score charts and tables for weight for age, length for age, length for weight, and body mass index (BMI) for age. Results: Findings were compared with WHO Multicentre Growth Reference Study (MGRS) data. A total of 403 healthy infants/children (210 males and 193 females) were recruited. At birth, the mean weight, length, and BMI were 3.2±0.4 kg, 3.1±0.4 kg, 49.7±2.3 cm, 48.8±2.1 cm, 13.2±1.6 kg/m2, and 12.8±1.5 kg/m2 for males and females, respectively. Anthropometrics of males were all statistically significantly higher than those of females at all age levels. The length and weight of the Bahraini infants/children were slightly higher than those of the WHO-MGRS. Conclusion: The outcomes of this study, presented as charts and tables, showed significant differences in comparison with the WHO-MGRS reference charts. Specifically, Bahraini children aged between 0 and 24 months of both sexes were taller and heavier than their cohorts in the MGRS reference charts. Further longitudinal studies are needed for monitoring the growth pattern of children using body composition methods, adiposity markers, and determinant factors of growth to investigate this deviation from the WHO-MGRS.

Introduction: Growth is a complex process and influenced by genetic back ground, different functions of endocrine system, nutrition, effect of any chronic disease and the level of individual physical activity. Regular height measurement is one of the methods to evaluate growth. Short stature might be the first sign of various pathological conditions. Early recognition of short stature allows early intervention optimising the possibility of achieving good health and normal adult height. Community based studies utilising standard protocols are less from India as many studies are limited to children visiting tertiary care centre with complaints of short stature. Aim: The present study aimed to assess the prevalence and aetiological profile of short stature in urban school children of Bangalore. Materials and Methods: This prospective observational study was conducted among five schools in Devarajevanahalli, Bangalore from November 2015 to January 2017. Written informed consent was taken from the principal. Children from 6-11 years were recruited into this study till the sample size was reached. Total of 1128 children were chosen for the study. Anthropometric measurements like height, weight, Body Mass Index (BMI) was done. Height was plotted in Indian Academy of Pediatrics (IAP) growth charts. Those with height

INTRODUCTION: Using World Health Organization (WHO) standards in pediatric practice is still controversial in many countries. It is suggested that national growth charts best reflect the genetic and ethnic characteristics of a population. The aim of this study was to compare length/height, body weight, and body mass index (BMI) in healthy Turkish children of ages 0 to 18 with those proposed by WHO as the international growth standards. METHODS: The data of Turkish children were collected from infant/child population aged 0-5 years (2391 boys, 2102 girls) and children of ages between 6-18 years (1100 boys, 1020 girls). For comparison, the 50th, 3rd, and 97th percentile curves for length/height, weight, and BMI in Turkish children were plotted together with respective WHO data. RESULTS: Heights were essentially similar in the Turkish and WHO data at ages between 3-10 years. Turkish children were markedly taller compared to the WHO standards after the age of 10 years. Evaluation of the 3rd percentile data revealed that Turkish boys were shorter than the WHO subjects in the first 2 years of life. From 6 months of age, Turkish children showed higher weight for age values in the 3rd, 50th, and 97th percentiles. In all age groups between 6 months and 3 years, and in between 6-18 years of age, Z-score values, as well as the 50th, 15th, 85th, and 95th percentile values were higher in Turkish children. The differences were particularly noteworthy at ages 1-2 years and in the pubertal years. DISCUSSION AND CONCLUSION: WHO growth standards do not reflect the growth of Turkish children and may substantially alter the prevalence of short stature and underweight in Turkish children in the 0-5 years age group. When assessing the nutritional and growth status of children, national growth standards may be more appropriate.

Abstract Objectives: to compare the intrauterine and postnatal growth of preterm infants according to the Intergrowth-21st and Fenton curves. Methods: study carried out in a maternity hospital, reference in high-risk pregnancy, with preterm infants born in 2018 who were hospitalized in the neonatal units of the institution. Preterm newborns weighed at least twice after birth were included in the sample and those that were syndromic, malformed or presented fluid retention were excluded. Proportions and means were compared using Pearson’s chi-square and Student’s t tests for paired samples, respectively. The McNemar test was used to compare categorical variables and the Kappa test to verify the degree of agreement between birth weight classifications obtained by the curves. Results: one hundred and fifty three infants with a median gestational age of 34.4 weeks were included. The incidences of the categories of nutritional status at birth did not differ between the curves. There was perfect agreement between the curves, except when newborns born under 33 weeks of gestational age were evaluated, in which case the agreement was substantial. About 21% of the babies classified as small for gestational age (SGA) by Intergrowth-21st were adequate for gestational age (AGA) according to Fenton and, on average, 20% of cases that had postnatal growth restriction (PNGR) according to Fenton standards were categorized as adequate weight by Intergrowth-21st. Postnatal weight classifications obtained by the evaluated curves had perfect agreement. Conclusions: the differences in theclassifications found between the charts reveal the importance of choosing the growth curve for monitoring preterm infants since behaviors based on their diagnoses can impact the life of this population.

Abstract Background During the past three decades, growth charts have become one of the principal tools for monitoring anthropometric development in individuals and populations as well. Growth references by the CDC and other countries have been widely used in our hospitals and healthcare units for clinical assessment of children’s development. The apparent overestimation and underestimation of many children's anthropometrics indicated the need to construct our own references. The objective of this study is to establish the national growth references for the Syrian population 2–20-year-old. Methods A multicenter cross-sectional sample of 13,548 subjects, aged 2–20 years, were recruited from various kindergartens, schools, and universities across the Syrian Arab Republic between February and May-2019. Response variables (stature, weight, and BMI) were fitted against age using P-splines and three empirical distributions: Box-Cox T, Box-Cox Power Exponential, and Box-Cox Cole and Green. Residuals diagnostic Q-tests and worm plots were used to check the validity of fitted models. Results Box-Cox T provided the best fit for stature-for-age, whereas Box-Cox Power Exponential provided the best fit for weight-for-age and BMI-for-age. Residuals diagnostics revealed adequate models fitting. BMI cutoffs revealed an increased prevalence of obesity (4.5% and 3.66%) and overweight (20.1% and 19.54%), for boys and girls respectively, in our population. Conclusions Growth charts are available for use now in our hospitals and healthcare units. For 0–2-year-old children, we recommend using the World Health Organization’s standards.

Measuring growth provides the opportunity to assess an individual’s health and nutritional status as well as reflect the quality of life and social wellbeing. Global standards and references for child and adolescent growth have been adopted by many countries including Sri Lanka, but it is questionable whether these charts are appropriate. They are known to over-diagnose undernutrition and under-diagnose over-nutrition in many low-and-middle-income countries. This article reviews the effect of body composition and ethnicity on the assessment of growth of Sri Lankan children. Growth has been documented since early civilization. Standards and references for assessing intrauterine, infant, child and adolescent growth have evolved for regional, national, and international use. Attention has been focused on socio-economic, political, and emotional (SEPE) factors as primary determinants of growth as well as ethnicity. Growth charts are based on the distribution of growth parameters in the population. Cut-off values are defined by statistical distributions rather than by the biological meaning of growth measurements. As most of the adverse health outcomes are related to an individual’s body composition, anthropometry should correctly reflect body composition and critical cut-off values should help assessing health risks. Yet, the distributions of height, weight, and BMI of healthy children of many low-and-middle-income countries differs from the global growth standards recommended for use by the WHO, and Sri Lankan children differ and show a shift to the left. In 5- to 15-year-old healthy children height, weight, and BMI range between -3SD and +1SD. Thus, applying global standards will often lead to false estimates when defining stunting, thinness, and obesity in these children. This highlights the importance of local rather than universal growth standards. Many countries have meanwhile taken the initiative to develop national growth charts. Further, Sri Lanka needs local growth charts and relevant cut-off values for the correct assessment of height, weight and BMI.

Background Postnatal growth failure (PGF) can impact the short- and long-term health outcomes in preterm infants. However, PGF rates vary according to the way it is defined and the growth chart used to monitor the postnatal growth. Fenton-2013 growth charts which suggest following intrauterine fetal growth compared to INTERGROWTH-21st, one specifically constructed for monitoring preterm extrauterine growth. Objective Exploratory study to determine the PGF definition at first per oral (PO) that is most predictive of adverse oral feeding-related outcomes in preterm infants. Methods Prospectively collected data of preterm infants 24–32 weeks gestation, who were started on cue-based oral feeds at ≤34 weeks gestation were reviewed. Anthropometric data at first PO (weight, length, and head circumference) were compared according to Fenton and INTERGROWTH-21st growth charts. PGF was defined either as <10th percentile, Z-score change (ZSC) of ≥–1.5 from birth, or ZSC of ≥–2.0. Top-quartile (Q4) of feeding-related outcomes (days from first PO to full PO, post-menstrual age at full PO, days from first PO to discharge, and length of hospital stay) was considered as adverse outcome. Results Of the 125 infants included, the median birth gestation and weight were 29.4 weeks and 1235 g, respectively. Incidence of appropriate, small, and large for gestational age was similar at birth by both growth charts. ZSC −1.5 for weight by Fenton was significantly higher at first PO vs. INTERGROWTH-21st (p=.02), while percentile <10th and ZSC −2.0 rates were similar. The PGF definition based on individual anthropometrics at first PO that has the best area under the curve (AUC) for adverse feeding-related outcomes was used to create a combined PGF definition for each growth chart. The AUC for the combined PGF for the Fenton and INTERGROWTH-21st was similar (p>.05) and both have moderate sensitivity and negative predictive value, but have low specificity, positive predictive value, and positive likelihood ratio for adverse feeding-related outcomes. Conclusions The tested definitions of PGF at first PO have only small to moderate predictive ability for adverse feeding-related outcomes in preterm infants. [ABSTRACT FROM AUTHOR]

Given the high prevalence of OSA in children with syndromic and complex craniosynostosis (SCC) and the consequences of untreated OSA, it is important to assess their nutritional status and growth. Yet, literature regarding growth in children with SCC remain scarce. Therefore, this study aimed to (1) illustrate the growth pattern in SCC, (2) determine the impact of OSA on this growth pattern, and (3) evaluate the effect of surgical treatment of OSA on growth over time. A retrospective study was performed in children with SCC, who were treated at the Dutch Craniofacial Center (Rotterdam, Netherlands). Growth variables (height, weight, weight-for-age standard-deviation-score (SDS), weight-for-height SDS, and height-for-age SDS) and degree of OSA (obstructive apnea–hypopnea index) were assessed. Of the 153 children with SCC, 38 (25%) were acutely malnourished at some point during follow-up, of whom 21 had disease-related acute malnutrition. Children with moderate-severe OSA had significant lower weight-for-height SDS compared to children without OSA (p = 0.0063). Growth parameters (weight-for-age SDS, weight-for-height SDS, height-for-age SDS) in children with SCC without OSA were not impaired as they did not differ from the normal healthy population, with exception of the patients with Saethre-Chotzen syndrome (SCS) who had a significantly lower SDS for height-for-age. Conclusion: Children with SCC have a substantial chance of developing acute malnutrition at some point during growth. Additionally, in children with moderate-severe OSA, a significant lower SDS for weight-for-height is present, indicating the importance of assessing the weight and growth pattern in children who are clinically suspected for OSA. What is Known: • Obstructive sleep apnea is seen in up to two-thirds of the children with syndromic and complex craniosynostosis. • Presence of obstructive sleep apnea is associated with intracranial hypertension and an increased risk of metabolic, cardiovascular, and neurocognitive consequences later in life. Untreated obstructive sleep apnea may lead to impaired growth and weight gain, which can result in growth failure. What is New: • Craniosynostosis patients with moderate-severe obstructive sleep apnea had significant lower weight-for-height standard deviation scores (SDS), compared to children without obstructive sleep apnea. • Children with syndromic and complex craniosynostosis without OSA did not significantly differ from the normal healthy population in regard to weight-for-age SDS, weight-for-height SDS, and height-for-age SDS. [ABSTRACT FROM AUTHOR]

Objective: To assess obstetric, perinatal, and placental histologic findings in small‐for‐gestational‐age (SGA) neonates according to different growth charts. Methods: A retrospective cohort of singleton deliveries from 2008 to 2019 were divided into SGA neonates according to the local population‐based chart, SGA according to universal standard growth charts (but appropriate for gestational age [AGA] according to local charts) and AGA deliveries according to both charts. Results: A total of 626 local population SGA deliveries, 132 universal SGA and 468 AGA deliveries were compared. The local population SGA group had a significantly higher rate of preterm and cesarean deliveries. An adverse neonatal outcome occurred in 27.2% of the local population SGA group, 9.8% of the universal SGA group and 6.7% of the AGA group (P < 0.001). In the local population SGA group, placental weight was lower, birth weight to placental weight ratio was highest, and the rate of maternal malperfusion lesions was highest—55.4% versus 45.4% in the universal SGA group and 39.1% in the AGA group (P < 0.001). Villitis of unknown etiology was significantly more common and histologic chorioamnionitis was significantly less common in the local population SGA group. Conclusions: Our findings support the use of a local population‐based growth chart for the diagnosis of fetal growth restriction. Synopsis: The contents of this page will be used as part of issue TOC only. It will not be published as part of main article. Diagnosis of fetal growth restriction according to local population‐based growth curves best correlates with neonatal outcomes and placental histology. [ABSTRACT FROM AUTHOR]

Abstract Objective To determine how various centile cut points on the INTERGROWTH-21st (INTERGROWTH), World Health Organization (WHO), and Hadlock fetal growth charts predict perinatal morbidity/mortality, and how this relates to choosing a fetal growth chart for clinical use. Methods We linked antenatal ultrasound measurements for fetuses > 28 weeks’ gestation from the British Columbia Women’s hospital ultrasound unit with the provincial perinatal database. We estimated the risk of perinatal morbidity/mortality (decreased cord pH, neonatal seizures, hypoglycemia, and perinatal death) associated with select centiles on each fetal growth chart (the 3rd, 10th, the centile identifying 10% of the population, and the optimal cut-point by Youden’s Index), and determined how well each centile predicted perinatal morbidity/mortality. Results Among 10,366 pregnancies, the 10th centile cut-point had a sensitivity of 11% (95% CI 8, 14), 13% (95% CI 10, 16), and 12% (95% CI 10, 16), to detect fetuses with perinatal morbidity/mortality on the INTERGROWTH, WHO, and Hadlock charts, respectively. All charts performed similarly in predicting perinatal morbidity/mortality (area under the curve [AUC] =0.54 for all three charts). The statistically optimal cut-points were the 39th, 31st, and 32nd centiles on the INTERGROWTH, WHO, and Hadlock charts respectively. Conclusion The INTERGROWTH, WHO, and Hadlock fetal growth charts performed similarly in predicting perinatal morbidity/mortality, even when evaluating multiple cut points. Deciding which cut-point and chart to use may be guided by other considerations such as impact on workflow and how the chart was derived.