Maternal BMI in the preconception period, and association with child zBMI growth rates

Arin C Deveci1,2, Charles D G Keown-Stoneman3,4, Jonathon L Maguire1,3,4,5,6,7

  • 1Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.

Pediatric Obesity
|December 27, 2022
PubMed

Insights

Maternal preconception body mass index (BMI) impacts child growth rates and weight. Targeting the preconception period may help promote healthy child development and prevent obesity.

Area of Science:

  • Pediatrics
  • Public Health
  • Obesity Research

Background:

  • Elevated body mass index (BMI) and rapid early childhood growth predict obesity risk.
  • The relationship between maternal preconception BMI and child growth is not well understood.

Purpose of the Study:

  • To examine how maternal preconception BMI relates to child BMI z-score (zBMI) growth rates and mean zBMI.
  • Focus on children aged 0-10 years.

Main Methods:

  • Longitudinal cohort study of 499 children (TARGet Kids!).
  • Maternal BMI measured preconception (2 years prior to pregnancy).
  • Child weight and height tracked from birth to 10 years; analyzed with linear mixed models.

Main Results:

  • Maternal preconception BMI correlated with child zBMI growth rates, especially in the first 4 months.
  • A 5 kg/m² increase in maternal BMI linked to a 0.031 zBMI SD unit/mo higher growth rate (p=0.004).
  • Higher maternal BMI also associated with 0.186 SD unit higher mean child zBMI (p=0.0002).

Conclusions:

  • Maternal preconception BMI influences early childhood growth rates and mean zBMI.
  • The preconception period is a potential window for interventions to foster healthy child growth and weight.
Abstract

Related Concept Videos

z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
11.1K
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Obesity01:24

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
576
Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
2.8K
Introduction to z Scores01:05

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
443
Probability Laws01:49

Probability Laws

Overview
41.2K