Related Experiment Video
Updated: Oct 15, 2025
09:10
Palatable Western-style Cafeteria Diet as a Reliable Method for Modeling Diet-induced Obesity in Rodents
Published on: November 1, 2019
11.0K
Sensitivity of Food-Based Recommendations Developed Using Linear Programming to Model Input Data in Young Kenyan
Karin J Borgonjen-van den Berg1, Jeanne H M de Vries1, Prosper Chopera1,2
1Division of Human Nutrition and Health, Wageningen University, P.O. Box 17, 6700 AA Wageningen, The Netherlands.
Nutrients
|October 23, 2021
Summary
Linear programming for food-based recommendations (FBR) is sensitive to data inputs. Using reported consumption frequencies and specific data distribution percentiles is crucial for accurate FBR and identifying key nutrients.
Area of Science:
- Nutrition science
- Computational nutrition
- Public health nutrition
Background:
- Food-based recommendations (FBR) are typically developed using linear programming, relying on dietary intake and nutrient requirement data.
- The impact of data availability and selection on FBR and identified problem nutrients remains unclear.
- Linear programming models like Optifood© are increasingly used for dietary guidance.
Purpose of the Study:
- To analyze the sensitivity of FBR and problem nutrients to variations in dietary intake data, data selection criteria, and energy/nutrient requirements.
- To compare a reference scenario with eight alternative scenarios using linear programming.
- To provide recommendations for optimizing data usage in FBR development.
Main Methods:
- Utilized 24-hour dietary recalls from 62 Kenyan children (4-6 years).
- Employed linear programming (Optifood©) to model dietary intake and requirements.
- Compared a reference scenario with eight alternative scenarios to assess data sensitivity.
Main Results:
- Estimating consumption frequencies instead of using reported data altered FBR and removed folate as a problem nutrient.
- Using the 10-90th percentile range for frequency distribution decreased recommended intakes and doubled problem nutrients compared to the 5-95th percentile.
- Most other data variations had minimal impact on FBR and identified problem nutrients.
Conclusions:
- Consumption frequencies are critical for developing accurate FBR and identifying problem nutrients via linear programming.
- Recommends using reported consumption frequencies and the 5-95th percentile distribution for defining minimum and maximum frequencies.
- Highlights the importance of careful data selection in computational nutrition for effective dietary recommendations.
Related Concept Videos
01:13Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
142
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
142
01:12Analysis of Population Pharmacokinetic Data
436
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
436
01:26Pharmacokinetic Models: Comparison and Selection Criterion
174
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
174
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
121
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
121
01:23Dosage Regimen Designs: Nomograms and Tabulations
25
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...
25