Related Experiment Video
Updated: May 22, 2026
14:43
Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
Published on: July 18, 2020
[Are they valid Spanish growth reference charts?].
1Departamento de Pediatría, Facultad de Medicina, Universidad de Navarra, Pamplona, España. tduratra@cf.navarra.es
Nutricion Hospitalaria
|May 9, 2012
Summary
Excluding obesity cases from growth studies is crucial for accurate reference patterns. This ensures growth curves reflect healthy development, not population-wide weight trends.
Area of Science:
- Pediatric endocrinology and growth monitoring.
- Public health and anthropometry.
Background:
- Growth charts are essential tools for assessing child development.
- Previous studies may include individuals with obesity, potentially skewing reference data.
Purpose of the Study:
- To re-evaluate growth data by removing obesity cases.
- To compare modified growth curves with existing Spanish and international standards.
Main Methods:
- Obesity cases were censored from the Navarra 09 (NA 09) study sample (n=930 to 782).
- Results were compared with Spanish (enKid, ESP 08, NA 09 without censoring) and international (CDC, WHO) growth curves.
Main Results:
- Modified Spanish growth curves showed similar 3rd and 50th percentiles for height, weight, and BMI.
- The 97th percentile for weight and BMI diverged more significantly in modified vs. original Spanish data.
- BMI percentiles (3rd, 50th, 97th) from the modified study fell between international reference standards.
Conclusions:
- Excluding individuals with obesity is necessary for creating clinically applicable growth reference patterns.
- Growth curves derived from populations with high obesity prevalence may only be descriptive, limiting clinical utility.
Related Concept Videos
00:57Population Growth
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
01:26Exponential Equations for Modeling Growth
Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is the relative...
01:13Interpreting X̄ Charts
Interpreting x̄ charts, a type of control chart used in statistical process control helps monitor the variation in processes over time. The x̄ chart is based on the sample mean and allows for monitoring variations in the process mean over time. These charts are pivotal for quality assurance in manufacturing and other sectors.
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line represents the process mean,...
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line represents the process mean,...
01:23Dosage Regimen Designs: Nomograms and Tabulations
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
01:28Bacterial Growth Curve
The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
01:29Exponential Growth
Bacterial populations exhibit exponential growth when conditions such as nutrient availability and temperature are favorable. In this phase, cells reproduce through binary fission, where each cell divides into two identical daughter cells. This process causes the population to double at regular intervals, resulting in a growth rate that is directly proportional to the current number of cells. As the population increases, the number of new cells formed during each generation also grows, creating...