Short-term weight variability in infants and toddlers: an observational study

Charlotte Margaret Wright1, Ford Hope-McGill2, Harshine Sivakanthan2

  • 1Department of Human Nutrition, School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK charlotte.wright@glasgow.ac.uk.

PubMed

Insights

Short-term weight fluctuations in toddlers can be significant, potentially exceeding expected growth over short periods. This variability means weight gain measurements over less than 8 weeks may be misleading for toddlers.

Area of Science:

  • Pediatric growth monitoring
  • Infant and toddler health assessment
  • Nutritional anthropometry

Background:

  • Accurate tracking of infant and toddler weight gain is crucial for assessing healthy development.
  • Short-term weight variability, influenced by factors like diet and excretion, can complicate growth interpretation.
  • Understanding these fluctuations is key to reliable growth monitoring in early childhood.

Purpose of the Study:

  • To investigate short-term weight variability in young children (infants and toddlers).
  • To determine the relationship between weight variability and expected weight gain.
  • To analyze the impact of age, time of day, and physiological outputs on weight fluctuations.

Main Methods:

  • Home-based weighing of 20 infants (2-10 months) and 21 toddlers (12-35 months) over 3 days.
  • Parents recorded dietary intake, fluid intake, and excretory events (urination, defecation) for toddlers.
  • Analysis focused on 'noise' (within-subject weight standard deviation) relative to expected growth and associations with time and physiological events.

Main Results:

  • Infant weight variability (117g) was less than expected 4-week gain (280-1040g).
  • Toddler weight variability (313g) exceeded expected 4-week gain (180-230g) and was ~75% of expected 8-week gain (359-476g).
  • Toddler weight decreased overnight, increased during the day, and was influenced by recent eating and stool passage.

Conclusions:

  • Toddler weight measurements can fluctuate by as much as 300g due to short-term variability.
  • Weight gain assessments in toddlers measured less than 8 weeks apart may be unreliable.
  • Clinical interpretation of toddler growth requires consideration of significant short-term weight fluctuations.
Abstract

Related Concept Videos

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
Naturalistic Observations02:30

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
15.4K
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
126
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.2K