Video Experimental Relacionado

Updated: Feb 5, 2026

A Blood-Free Diet to Rear Anopheline Mosquitoes

A Blood-Free Diet to Rear Anopheline Mosquitoes

Published on: January 31, 2020

Una puntuación de calidad de dieta multidimensional para una dieta saludable y sostenible informada por un Delphi

Emily Denniss¹, Mark Lawrence², Sarah A McNaughton³

¹Institute for Physical Activity and Nutrition, School of Health and Social Development, Deakin University, Geelong, Australia.

The British journal of nutrition

|February 4, 2026

Abstract:

No existing dietary metric simultaneously captures key dimensions of sustainable healthy diets: dietary variety; intake of animal products; and extent of food processing. This methods and construct development study aimed to identify indicators of a sustainable healthy diet that can be used to inform a multidimensional diet quality score. A modified Delphi was used to gain expert consensus regarding development of a sustainable healthy diet score. Three iterative surveys were conducted between November 2022 and May 2023. Surveys asked participants' opinion regarding measurement of the three dimensions of sustainable healthy diets (Dimension 1: variety of unprocessed and minimally processed foods; Dimension 2: intake of animal products and; Dimension 3: intake of ultra-processed foods (UPF)) and weighting and aggregation of a score that assesses these three dimensions. Thirteen international experts completed all three surveys. Consensus from experts led to the identification of food-based indicators of sustainable healthy diets. Experts agreed that Dimension 1 should be comprised of 12 food groups, with food groups and scoring ranges informed by the Global Diet Quality Score; Dimension 2 comprised of five food groups with scoring ranges informed by the EAT-Lancet planetary health diet; and Dimension 3 as one food group measured as a cut-off value of ≤10% energy from UPF. There was consensus that each dimension should be equally weighted. Outcomes from this work have been used to inform the development and validation of a multidimensional diet quality score to assess the healthfulness and environmental sustainability of diets among healthy adult populations.

Palabras clave:

métricas de calidad de la dieta productos animales variedad de la dieta sostenibilidad dietas saludables y sostenibles alimentos ultraprocesados

Más Videos Relacionados

Palatable Western-style Cafeteria Diet as a Reliable Method for Modeling Diet-induced Obesity in Rodents

Palatable Western-style Cafeteria Diet as a Reliable Method for Modeling Diet-induced Obesity in Rodents

Published on: November 1, 2019

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment

Published on: April 20, 2018

Videos de Conceptos Relacionados

Sustainable Development

Sustainable Development

As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.

Introduction to z Scores

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...

Introduction to z Scores

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...

z Scores and Area Under the Curve

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...

Design Example: Sustainability in Concrete Building

Design Example: Sustainability in Concrete Building

As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...

z Scores and Unusual Values

z Scores and Unusual Values

The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...