Assessment of height growth in Indian children using growth centiles and growth curves

Areekal, Sandra Aravind; Goel, Prem K.; Khadilkar, Anuradha; Khadilkar, Vaman; Cole, Tim

doi:10.1080/03014460.2022.2107238

Cited by 6 publications

(3 citation statements)

References 46 publications

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“…It is possible that an association may have been detected with larger sample sizes. The age of onset and speed of the pubertal growth spurt are typically correlated, with early developers also having higher PHV, although correlation is imperfect; in one analysis, the correlation was 0.45 in boys and 0.31 in girls 25 . Our results do not exclude smaller estimates of association.…”

Section: Discussionmentioning

confidence: 99%

Epigenetic age acceleration is associated with speed of pubertal growth but not age of pubertal onset

Kim,

Harrall,

Glueck

et al. 2024

Sci Rep

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Using data from a longitudinal cohort of children, we examined whether epigenetic age acceleration (EAA) was associated with pubertal growth and whether these associations were mediated by adiposity. We examined associations between EAA at approximately 10 years of age with pubertal growth metrics, including age at peak height velocity (PHV), PHV, and sex steroid levels and whether these associations were mediated by measures of adiposity including body mass index (BMI) and MRI-assessed visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). Children (n = 135) with accelerated EAA had higher PHV (β 0.018, p = 0.0008) although the effect size was small. The association between EAA and age at PHV was not significant (β − 0.0022, p = 0.067). Although EAA was associated with higher BMI (β 0.16, p = 0.0041), VAT (β 0.50, p = 0.037), and SAT (β 3.47, p = 0.0076), BMI and VAT did not mediate associations between EAA and PHV, while SAT explained 8.4% of the association. Boys with higher EAA had lower total testosterone (β − 12.03, p = 0.0014), but associations between EAA and other sex steroids were not significant, and EAA was not associated with sex steroid levels in girls. We conclude that EAA did not have strong associations with either age at onset of puberty or pubertal growth speed, although associations with growth speed were statistically significant. Studies with larger sample sizes are needed to confirm this pattern of associations.

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Section: Discussionmentioning

confidence: 99%

Epigenetic age acceleration is associated with speed of pubertal growth but not age of pubertal onset

Kim,

Harrall,

Glueck

et al. 2024

Sci Rep

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“…Mean APV and PV in the two groups are given in Table 3. Note that the values for PSCG differ slightly from before [22] due to the differing age ranges. The BIC of the pooled model was 29 units smaller than the sum of the BIC for the two separate models in boys, but 20 units greater in girls.…”

Section: Pooled Models Of Diabetes and Control Growth Curvesmentioning

confidence: 94%

“…Height was measured using a portable stadiometer (Leicester Height Meter; Child Growth Foundation, London) and calibrated with standard rods. Growth curves and growth centiles based on the data have been published previously [22].…”

Section: Pune School-children Growth (Pscg)mentioning

confidence: 99%

Longitudinal Height Growth in Children and Adolescents with Type-1 Diabetes Mellitus Compared to Controls in Pune, India

et al. 2023

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Background. Height growth is affected by longterm childhood morbidity. Objectives. To compare the growth curves of Indian children diagnosed with Type-1 diabetes mellitus (T1DM) and a control group of children without diabetes, and to see how parental height and disease severity affect the growth pattern. Subjects and Methods. The data came from: (i) the Sweetlings T1DM (STDM) study with 460 subjects aged 4–19 years, previously diagnosed with T1DM and followed for 2–6 (median 3) years, with repeat measurements of height and glycated hemoglobin (HbA1c), and (ii) the Pune School-Children Growth (PSCG) study with 1,470 subjects aged 4–19 years, and height measured annually for median 6 years. Height growth was modeled using SuperImposition by Translation and Rotation (SITAR), a mixed effects model which fits a cubic spline mean curve and summarizes individual growth in terms of differences in mean size, and pubertal timing and intensity. Results. SITAR explained 99% of the variance in height, the mean curves by sex showing that compared to controls, the children with diabetes were shorter (by 4/5 cm for boys/girls), with a later (by 1/6 months) and less intense (−5%/−10%) pubertal growth spurt. Adjusted for mean height, timing and intensity, the diabetic and control mean curves were very similar in shape. SITAR modeling showed that mean HbA1c peaked at 10.5% at age 15 years, 1.0% higher than earlier in childhood. Individual growth patterns were highly significantly related to parental height, age at diabetes diagnosis, diabetes duration, and mean HbA1c. Mean height was 3.4 cm more per + 1 SD midparental height, and in girls, 2 cm less per + 1 SD HbA1c. Conclusion. The results show that the physiological response to T1DM is to grow more slowly, and to delay and extend the pubertal growth spurt. The effects are dose-related, with more severe disease associated with greater growth faltering.

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New French height velocity growth charts: An innovative big‐data approach based on routine measurements

Scherdel,

Taine,

Bergerat

et al. 2024

Acta Paediatrica

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AimHeight velocity is considered a key auxological tool to monitor growth, but updated height velocity growth charts are lacking. We aimed to derive new French height velocity growth charts by using a big‐data approach based on routine measurements.MethodsWe extracted all growth data of children aged 1 month–18 years from the electronic medical records of 42 primary care physicians, between 1 January 1990 and 8 February 2018, throughout the French metropolitan territory. We derived annual and biannual height velocity growth charts until age 15 years by using the Lambda‐Mu‐Sigma method. These new growth charts were compared to the 1979 French and 2009 World Health Organisation (WHO) ones.ResultsNew height velocity growth charts were generated with 193 124 and 209 221 annual and biannual values from 80 204 and 87 260 children, respectively, and showed good internal fit. Median curves were close to the 1979 French or 2009 WHO ones, but SD curves displayed important differences. Similar results were found with the biannual height velocity growth charts.ConclusionWe produced new height velocity growth charts until age 15 years by using a big‐data approach applied to measurements routinely collected in clinical practice. These updated growth charts could help optimise growth‐monitoring performance.

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Assessment of height growth in Indian children using growth centiles and growth curves

Cited by 6 publications

References 46 publications

Epigenetic age acceleration is associated with speed of pubertal growth but not age of pubertal onset

Epigenetic age acceleration is associated with speed of pubertal growth but not age of pubertal onset

Longitudinal Height Growth in Children and Adolescents with Type-1 Diabetes Mellitus Compared to Controls in Pune, India

New French height velocity growth charts: An innovative big‐data approach based on routine measurements

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