(Q43418415)

English

The number of 24 h dietary recalls using the US Department of Agriculture's automated multiple-pass method required to estimate nutrient intake in overweight and obese adults

scientific article published on 18 March 2011

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scholarly article

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

The number of 24 h dietary recalls using the US Department of Agriculture's automated multiple-pass method required to estimate nutrient intake in overweight and obese adults (English)

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

0 references

0 references

nutrient intake

1 reference

based on heuristic

inferred from title

1 reference

based on heuristic

inferred from title

author name string

Kim S Stote

1

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

Steven V Radecki

2

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

Alanna J Moshfegh

3

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

Linda A Ingwersen

4

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

David J Baer

5

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

language of work or name

0 references

publication date

18 March 2011

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

Public Health Nutrition

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

14

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

10

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

1736-1742

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

Number of 24-hour diet recalls needed to estimate energy intake

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Interindividual and intraindividual variation in repeated measures of 24-hour dietary recall in the elderly.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

The use of computerised 24 h dietary recalls in the French SU.VI.MAX Study: number of recalls required.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Sources of variability in dietary intake in two distinct regions of rural India: implications for nutrition study design and interpretation.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Sources of variation in nutrient intakes among men in Shanghai, China

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Overview of computerized dietary assessment programs for research and practice in nutrition education

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Variation in nutrient intakes among women in Shanghai, China.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Dietary intake--how do we measure what people are really eating?

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Within- and between-person variation of nutrient intakes of older people in Korea

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Standardization of the 24-hour diet recall calibration method used in the european prospective investigation into cancer and nutrition (EPIC): general concepts and preliminary results.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Seasonal variation in food intake, physical activity, and body weight in a predominantly overweight population.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

21 January 2018

Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

High intra/interindividual variance ratios for energy and nutrient intakes of pregnant women in rural Malawi show that many days are required to estimate usual intake.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

Number of days of food intake records required to estimate individual and group nutrient intakes with defined confidence.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

Implications of day-to-day variability on measurements of usual food and nutrient intakes.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

Source of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Carbohydrate sources, vitamins, and minerals

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

Approaches to analysis of dietary data: relationship between planned analyses and choice of methodology

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intake

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

Between- and within-subject variation in nutrient intake from infancy to old age: estimating the number of days required to rank dietary intakes with desired precision.

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

A comparison of selected nutrient intakes derived from three diet assessment methods used in a low-fat maintenance trial

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

Variability in nutrient intakes among pregnant women in Indonesia: implications for the design of epidemiological studies using the 24-h recall method

1 reference

https://api.crossref.org/works/10.1017%2FS1368980011000358

7 January 2021

based on heuristic

inferred from DOI database lookup

Identifiers

10.1017/S1368980011000358

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

23 November 2017

ResearchGate publication ID

0 references

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