Dataset Information

Intergenerational change in anthropometry of children and adolescents in the New Delhi Birth Cohort.

ABSTRACT:

Background

A comparison of the anthropometry of children and adolescents with that of their parents at the same age may provide a more precise measure of intergenerational changes in linear growth and body mass index (BMI).

Methods

New Delhi Birth Cohort participants (F1), born between 1969 and 1972, were followed up for anthropometry at birth and at 6-monthly intervals until 21 years of age. At variable intervals 1447 children, aged 0-19 years (F2) and born to 818 F1 participants, were measured (weight and height), providing 2236 sets of anthropometries. Intergenerational changes (F2-F1) in height and BMI [absolute and standard deviation (SD) units] were computed by comparing children with their parents at corresponding ages.

Results

F2 children were taller (P < 0.001) than their parents at corresponding ages; the increase {mean [95% confidence interval (CI)] World Health Organization SD units} was 0.97 (0.83, 1.11), 1.21 (1.10, 1.32), 1.09 (0.98, 1.19), 1.10 (1.00, 1.21) and 0.75 (0.65, 0.85) for age categories of 0-5, 5-7.5, 7.5-10, 10-12.5 and >12.5 years, respectively. In absolute terms, this increase ranged from 3.5 cm (0-5-year-olds) to 7.5 cm (10-12.5-year-olds). The corresponding increases in BMI SD scores were 0.32 (0.18, 0.47), 0.60 (0.45, 0.75), 1.13 (0.99, 1.27), 1.30 (1.15, 1.45) and 1.00 (0.85, 1.15), respectively. The absolute BMI increase ranged from 1-3 kg/m2 at >5 years age to ∼3 kg/m2 at >10-years of age. The intergenerational increases were comparable in both sexes, but were greater in children born and measured later. A positive change in socioeconomic status was associated with an increase in height across the generations.

Conclusions

Children and adolescents, throughout the ages 0-19 years, have become considerably taller and have a higher BMI than their parents at corresponding ages in an urban middle-class Indian population undergoing socioeconomic improvements.

SUBMITTER: Sinha S

PROVIDER: S-EPMC8855995 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Publications

Intergenerational change in anthropometry of children and adolescents in the New Delhi Birth Cohort.

Sinha Sikha S Shah Dheeraj D Osmond Clive C Fall Caroline H D CHD Bhargava Santosh K SK Sachdev Harshpal Singh HS

International journal of epidemiology 20220201 1

<h4>Background</h4>A comparison of the anthropometry of children and adolescents with that of their parents at the same age may provide a more precise measure of intergenerational changes in linear growth and body mass index (BMI).<h4>Methods</h4>New Delhi Birth Cohort participants (F1), born between 1969 and 1972, were followed up for anthropometry at birth and at 6-monthly intervals until 21 years of age. At variable intervals 1447 children, aged 0-19 years (F2) and born to 818 F1 participants ...[more]

PMID: 34279626

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Project description:All subjects were recruited at Centennial Women?s Hospital and the Perinatal Research Center in Nashville, TN beginning in 2003. Pregnant women were enrolled during their first clinical visit after obtaining informed consent as described previously. Demographic and clinical data specific to the fetus was collected from clinical records. Gestational age of the neonate was determined by maternal reporting of the last menstrual period and corroboration by ultrasound dating. Accurate knowledge of gestational age (GA) is essential for proper monitoring and care of neonates. However, accurate GA measures are often not available. DNA methylation has previously been shown to associate with GA, and has been used to accurately predict chronological age in adults. In the current study, we examine whether DNA methylation in cord blood can be used to predict gestational age at birth. Results: We found that GA can be accurately predicted from DNA methylation of neonatal cord blood and blood spot samples (DNAm GA), using 148 CpG sites selected through elastic net regression in six training datasets (N=207). We evaluated predictive accuracy in six testing datasets (N=1,202), and found that the accuracy of DNAm GA meets or exceeds accuracy of gestational age estimates based on established methods. We also found an increased DNAm GA, relative to clinical GA, was associated with increased birthweight percentile (p=.00057), adjusting for GA, sex, and ancestry, suggesting that DNAm GA could represent developmental age more accurately than clinical estimates of GA. Conclusions: Further development of this predictor could provide a method of accurate neonatal estimation of GA for use in resource-limited populations, or in cases where GA cannot be estimated clinically. When clinical estimates are available, the predictor can be used to test hypotheses related to developmental age and other early life circumstances, and may provide increased accuracy beyond clinical estimates.

Dataset Information

Intergenerational change in anthropometry of children and adolescents in the New Delhi Birth Cohort.

Background

Methods

Results

Conclusions

Publications

Intergenerational change in anthropometry of children and adolescents in the New Delhi Birth Cohort.

Similar Datasets

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