Prediction of BMI at age 11 in a longitudinal sample of the Ulm Birth Cohort Study

Hanna Christiansen1, Stephanie Brandt2, Viola Walter3

  • 1Department of Clinical Child and Adolescent Psychology and Psychotherapy, Philipps University, Marburg, Germany.

Plos One
|August 24, 2017
PubMed

Insights

Childhood obesity is a major health issue. This study found that a child's body mass index (BMI) at age 8 strongly predicts their BMI at age 11, indicating early intervention is crucial.

Area of Science:

  • Pediatrics
  • Public Health
  • Developmental Psychology

Background:

  • Childhood obesity presents a significant global health challenge, with prevalence rates ranging from 20-26% and associated health risks.
  • Longitudinal studies are essential for understanding the developmental trajectories of obesity and identifying predictive factors.

Purpose of the Study:

  • To analyze 11-year follow-up data from the Ulm Birth Cohort Study (UBCS).
  • To determine if abnormal eating behaviors, particularly restrained eating, predict body mass index (BMI) at age 11.
  • To explore other longitudinally associated factors influencing childhood BMI.

Main Methods:

  • Utilized data from 422 children and their parents from the Ulm Birth Cohort Study (UBCS) 11-year follow-up.
  • Assessed body mass index (BMI) at ages 8 and 11.
  • Collected data on restrained eating, psychological issues, depressive symptoms, lifestyle, and IQ at age 8.
  • Employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to predict BMI at age 11.

Main Results:

  • Partial Least Squares Structural Equation Modeling (PLS-SEM) explained 68% of the variance in BMI at age 11.
  • Body mass index (BMI) at age 8 was the most significant predictor of BMI at age 11.
  • Restrained eating showed weak associations with BMI at age 11, mediated by BMI at age 8 and parental BMI.
  • No other assessed predictors (psychological problems, depressive symptoms, lifestyle, IQ) were statistically significant.

Conclusions:

  • Established overweight status in early childhood (age 8) is a strong longitudinal predictor of body mass index (BMI) at age 11.
  • Early childhood obesity interventions are recommended due to the predictive nature of early BMI.
  • Targeting early signs of overweight is critical for long-term obesity prevention strategies.

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.5K
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...
7.2K
Probability Laws01:49

Probability Laws

Overview
44.6K
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...
1.4K
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
563
Central Limit Theorem01:14

Central Limit Theorem

The central limit theorem, abbreviated as clt, is one of the most powerful and useful ideas in all of statistics. The central limit theorem for sample means says that if you repeatedly draw samples of a given size and calculate their means, and create a histogram of those means, then the resulting histogram will tend to have an approximate normal bell shape. In other words, as sample sizes increase, the distribution of means follows the normal distribution more closely.
The sample size, n, that...
20.4K