Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What are Estimates?01:06

What are Estimates?

It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
Sample Proportion and Population Proportion01:20

Sample Proportion and Population Proportion

Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
Variation: Normal Distribution, Range, and Standard Deviation02:32

Variation: Normal Distribution, Range, and Standard Deviation

In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
Student t Distribution01:31

Student t Distribution

The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the Guinness...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Global Variation in Timing of Allergenic Food Introduction for Food Allergy Prevention: An International Survey of Healthcare Professionals.

Allergy·2026
Same author

Dupilumab outcomes in pediatric asthma by early eosinophil status: post hoc analysis of VOYAGE/EXCURSION.

The Journal of allergy and clinical immunology·2026
Same author

Joint modelling of wheeze and lung function from childhood to early adulthood: four population-based birth cohorts.

EClinicalMedicine·2026
Same author

Global Initiative for Asthma Updates for Diagnosing Asthma in Adults.

JAMA network open·2026
Same author

The definition of response and inadequate response to topical corticosteroid treatment in atopic dermatitis and related skin inflammatory diseases: A GA<sup>2</sup>LEN ADCARE statement paper.

The World Allergy Organization journal·2026
Same author

Reply.

The Journal of allergy and clinical immunology·2026
Same journal

Response to a Letter to the Editor.

Public health nutrition·2026
Same journal

Tracking of dietary patterns from early childhood to school age in the Brazilian Food and Nutritional Surveillance System, 2008-2019.

Public health nutrition·2026
Same journal

Healthy or misleading? A study of food outlets categorised as "healthy" on an Australian delivery platform.

Public health nutrition·2026
Same journal

Educational and Programmatic Components of Effective School-Based Food and Nutrition Education: An Umbrella Review.

Public health nutrition·2026
Same journal

Adults' health-related values and preferences related to reducing or modifying dietary fat intake: a mixed methods systematic review.

Public health nutrition·2026
Same journal

Dietary protein intake, animal-to-plant protein ratio, and risk of sarcopenia in community-dwelling adults: a 9-year follow-up study.

Public health nutrition·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Estimated portion sizes in a school-aged population.

Sumaiya Patel1, Avni Vyas, Adnan Custovic

  • 1School of Translational Medicine, University of Manchester and NIHR Translational Research Facility in Respiratory Medicine, University Hospital of South Manchester NHS Foundation Trust, Manchester, UK.

Public Health Nutrition
|May 12, 2012
PubMed
Summary
This summary is machine-generated.

This study developed specific portion sizes for 11-year-old UK children and found they closely matched previously published data, confirming their relevance for current dietary assessments.

More Related Videos

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Related Experiment Videos

Last Updated: May 22, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

Area of Science:

  • Pediatric Nutrition
  • Dietary Assessment Methods
  • Public Health Nutrition

Background:

  • Accurate dietary intake assessment in children relies on appropriate portion size data.
  • Existing portion size data may not reflect current eating habits of children.
  • There is a need for updated, population-specific portion size information for accurate nutritional analysis.

Purpose of the Study:

  • To generate study-specific food portion sizes for 11-year-old children within a UK birth cohort.
  • To compare these newly derived portion sizes with previously published children's portion size data.
  • To evaluate the contemporary relevance and agreement of different portion size datasets for nutritional analysis.

Main Methods:

  • Utilized two multiple-pass 24-hour dietary recalls from 264 children (mean age 11.3 years).
  • Employed the Food Standard Agency's photographic food atlas to quantify food intake.
  • Calculated study-specific portion sizes for 124 food items, analyzed separately for boys and girls, and assessed nutrient intake agreement using correlation and Bland-Altman methods.

Main Results:

  • 124 study-specific portion sizes were calculated, with minimal differences observed between boys and girls for most food items.
  • Strong positive correlations (0.77–0.98) and good agreement were found between nutrient intakes calculated using study-specific versus published portion sizes.
  • All nutrient intake analyses showed significant positive relationships (P < 0.001) regardless of the portion size dataset used.

Conclusions:

  • Study-specific portion sizes for UK children align well with previously published paediatric portion size data.
  • The findings suggest that existing published portion sizes remain relevant for assessing nutrient intake in contemporary UK children.
  • This research contributes valuable, updated portion size data for 11-year-old children, supporting accurate dietary assessment in research and public health.