Evidence map›Paper›PMID 25167205›Full record

ArticlePublic health nutrition2015

Reproducibility and validity of an FFQ developed for the Korea National Health and Nutrition Examination Survey (KNHANES).

Dong Woo Kim, Sujin Song, Jung Eun Lee, Kyungwon Oh, Jeeseon Shim, Sanghui Kweon, Hee Young Paik, Hyojee Joung

Registry-linked trialAbstract readValidation Study
In one paragraph

Article in Public health nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07175701 (Effects of Ultra-processed Food Reduction Intervention on Postprandial Glucose and Glycemic Variability in Korean Young Adults), which is not on this map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07175701 narecruitingnot on this mapstarted 2025, after this paper: background citation

Effects of Ultra-processed Food Reduction Intervention on Postprandial Glucose and Glycemic Variability in Korean Young Adults: Study Protocol for the ULTRA-CGM Randomized Controlled Trial

TypeinterventionalSponsorKorea UniversityRan2025 to 2026Enrolled50ConditionsPostprandial Glucose, Glucose Levels, HyperglycemiasArms40-minute one-on-one dietary counseling and nutrition education aimed at reducing ultra-processed food consumption, Standard dietary counseling and nutrition education based on national guidelines
3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. A meta-analysis of the reproducibility of food frequency questionnaires in nutritional epidemiological studies.The international journal of behavioral nutrition and physical activity · 2021
    Pooled it
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dong Woo Kim1Department of Food and Nutrition,Seoul National University,Gwanak-gu,Seoul,Republic of Korea.
Sujin Song1Department of Food and Nutrition,Seoul National University,Gwanak-gu,Seoul,Republic of Korea.
Jung Eun Lee2Department of Food and Nutrition,Sookmyung Women's University,Yongsan-gu,Seoul,Republic of Korea.
Kyungwon Oh3Division of Health and Nutrition Survey,Korea Centers for Disease Control and Prevention,Cheongwon-gun,Chungcheongbuk-do,Republic of Korea.
Jeeseon Shim3Division of Health and Nutrition Survey,Korea Centers for Disease Control and Prevention,Cheongwon-gun,Chungcheongbuk-do,Republic of Korea.
Sanghui Kweon3Division of Health and Nutrition Survey,Korea Centers for Disease Control and Prevention,Cheongwon-gun,Chungcheongbuk-do,Republic of Korea.
Hee Young Paik1Department of Food and Nutrition,Seoul National University,Gwanak-gu,Seoul,Republic of Korea.
Hyojee Joung4The Graduate School of Public Health and Institute of Health and Environment,Seoul National University,1 Gwanak-ro,Gwanak-gu,Seoul 151-742,Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to evaluate the reproducibility and validity of the newly developed FFQ for the Korean National Health and Nutrition Examination Survey (KNHANES) and to estimate the measure's calibration factors.

designThe 109-item FFQ was administered twice, approximately 9 months apart. We also collected four seasonal 3 d dietary records (DR) as a reference method. Correlation coefficients and joint classification were computed to compare intakes of energy, thirteen nutrients and eleven food groups between the two FFQ to evaluate reproducibility. For validity, de-attenuated and energy-adjusted correlation, joint classification and Bland-Altman statistics were calculated for energy and nutrients between the first FFQ and the DR. To calibrate the FFQ, we performed a linear regression analysis in which the DR were the dependent variables and FFQ, age and sex were the independent variables.

settingSeoul metropolitan area, Republic of Korea. SUBJECTS: A total of 126 adults aged 20-65 years.

resultsThe average correlation coefficients measuring reproducibility were 0·54 for nutrients and 0·57 for food groups. The mean correlation coefficient measuring validity was 0·40 for all nutrients between the first FFQ and the DR. On average, 75 % of the participants were classified into the same or adjacent quartiles, while 5 % of the participants were grossly misclassified. The mean energy and nutrient intakes estimated by the calibrated FFQ were similar to the means estimated by the DR.

conclusionsThe newly developed FFQ for assessing dietary intake in the KNHANES has acceptable reproducibility and modest validity compared with a 12 d DR collected over a 9-month period.

Indexed as

Nutrition SurveysSurveys and QuestionnairesAdultAgedCalibrationDiet RecordsEnergy IntakeFemaleHumansMaleMiddle AgedReproducibility of ResultsRepublic of KoreaYoung AdultKNHANES

Identifiers

PMID25167205
PMCPMC10271806

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.