Evidence map›Paper›PMID 27152299›Full record

ArticleClinical nutrition research2016

Estimation of Apple Intake for the Exposure Assessment of Residual Chemicals Using Korea National Health and Nutrition Examination Survey Database.

Bumsik Kim, Min-Seok Baek, Yongmin Lee, Jean Kyung Paik, Moon-Ik Chang, Gyu-Seek Rhee, Sanghoon Ko

Abstract read
In one paragraph

Article in Clinical nutrition research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

7 authors.

Bumsik KimSchool of Food Science, Kyungil University, Gyeongsan 38428, Korea.ORCID 0000-0001-8793-7696
Min-Seok BaekDepartment of Food Science and Technology, Sejong University, Seoul 05006, Korea.ORCID 0000-0002-5947-6797
Yongmin LeeDepartment of Food Science and Technology, Sejong University, Seoul 05006, Korea.ORCID 0000-0002-8372-341X
Jean Kyung PaikDepartment of Food and Nutrition, Eulji University, Seongnam 13135, Korea.ORCID 0000-0003-0393-0353
Moon-Ik ChangPesticide and Veterinary Drug Residues Division, National Institute of Food and Drug Safety Evaluation, Cheongju 28159, Korea.ORCID 0000-0003-0935-2080
Gyu-Seek RheePesticide and Veterinary Drug Residues Division, National Institute of Food and Drug Safety Evaluation, Cheongju 28159, Korea.ORCID 0000-0002-7926-2630
Sanghoon KoDepartment of Food Science and Technology, Sejong University, Seoul 05006, Korea.ORCID 0000-0003-0664-3173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study were to develop strategies and algorithms of calculating food commodity intake suitable for exposure assessment of residual chemicals by using the food intake database of Korea National Health and Nutrition Examination Survey (KNHANES). In this study, apples and their processed food products were chosen as a model food for accurate calculation of food commodity intakes uthrough the recently developed Korea food commodity intake calculation (KFCIC) software. The average daily intakes of total apples in Korea Health Statistics were 29.60 g in 2008, 32.40 g in 2009, 34.30 g in 2010, 28.10 g in 2011, and 24.60 g in 2012. The average daily intakes of apples by KFCIC software was 2.65 g higher than that by Korea Health Statistics. The food intake data in Korea Health Statistics might have less reflected the intake of apples from mixed and processed foods than KFCIC software has. These results can affect outcome of risk assessment for residual chemicals in foods. Therefore, the accurate estimation of the average daily intake of food commodities is very important, and more data for food intakes and recipes have to be applied to improve the quality of data. Nevertheless, this study can contribute to the predictive estimation of exposure to possible residual chemicals and subsequent analysis for their potential risks.

Indexed as

Apple intakeFood commodityKNHANESProcessed foodResidual chemicals

Identifiers

PMID27152299
PMCPMC4855046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.