BMI development of normal weight and overweight children in the PIAMA study

Saskia M Willers1, Bert Brunekreef, Henriëtte A Smit

  • 1Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands.

Plos One
|July 5, 2012
PubMed

Insights

Rapid BMI increase from infancy is linked to childhood overweight. Early and continuous interventions are crucial for prevention, as no single critical period was identified.

Area of Science:

  • Pediatric health
  • Childhood obesity research
  • Growth and development studies

Background:

  • Rapid weight gain in infancy correlates with later overweight.
  • Existing research on critical periods for overweight development is inconsistent.

Purpose of the Study:

  • To identify age-specific BMI differences between normal-weight and overweight children.
  • To determine age intervals most influential for overweight risk at 8 years.

Main Methods:

  • Longitudinal data from 3963 children in the PIAMA birth cohort study.
  • Annual BMI and BMI standard deviation scores (SDS) calculated from birth to 8 years.
  • Statistical analysis comparing BMI SDS changes between overweight and normal-weight children at 8 years.

Main Results:

  • 10.5% of children were overweight at 8 years.
  • Higher mean BMI SDS observed in future overweight children as early as 1 year old.
  • BMI SDS change in each year significantly predicted overweight at 8 years, with increasing odds ratios from 0-1 year to 7-8 years.

Conclusions:

  • Accelerated BMI SDS increase from infancy is significantly associated with 8-year-old overweight risk.
  • No specific critical period for overweight development was identified.
  • Overweight prevention requires early and ongoing, age-specific interventions throughout childhood.
Abstract

Related Concept Videos

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 adipocytes...
Drug Dosing: Obese Patients01:21

Drug Dosing: Obese Patients

In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
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 researchers try to extrapolate results...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is: