Evidence map›Paper›PMID 31432651›Full record

ArticleJournal of Korean medical science2019

Evaluation of Food Labeling Policy in Korea: Analyzing the Community Health Survey 2014-2017.

Heui Sug Jo, Su Mi Jung

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Food, Big Data, and Decision-making: a Scoping Review-the 3-D Commission.Journal of urban health : bulletin of the New York Academy of Medicine · 2021
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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

2 authors.

Heui Sug JoDepartment of Health Policy and Management, Kangwon National University School of Medicine, Chuncheon, Korea.ORCID https://orcid.org/0000-0003-0245-3583
Su Mi JungDepartment of Health Policy and Management, Kangwon National University School of Medicine, Chuncheon, Korea. blessing-you@kangwon.ac.kr.ORCID https://orcid.org/0000-0003-0536-4914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs Koreans adopt more Westernized diets, consumer demands for processed food products are growing. The Korean government implemented a food labeling system to help people reasonably choose processed foods. This study investigated the utilization of these food labels among Koreans, as well as demographic differences between users and non-users of food labels, ultimately presenting foundational data for strategies to enhance dietary lifestyles by facilitating the use of food labeling.

methodsData from the 2014-2017 Community Health Survey were used. The Cochran-Armitage trend test was performed to investigate whether food labeling awareness and utilization increase over time; a data mining technique called decision tree analysis was then used to examine the effects of sociodemographic factors on the use of food labeling for each of the 4 years.

resultsFood labeling awareness increased by 4.5% over 4 years; the Cochran-Armitage trend test showed that this increase was statistically significant (χ² = 1,068.21;

conclusionEducation level, which could be related to health literacy, substantially affected the use of food labeling. Education level is a typical socioeconomic index, and if people who are less educated tend not to use food labeling, it can lead to health inequity. Thus, food labeling should be reformed with consideration of health literacy among the less-educated social classes. From a health communication perspective, images and pictures can boost consumers' understanding, which should be considered to improve comprehensibility of food labeling.

Indexed as

Health SurveysAdultAgedAwarenessFemaleFood LabelingHealth LiteracyHumansMaleMiddle AgedRepublic of KoreaSurveys and QuestionnairesYoung AdultCHSData MiningDecision TreesFood LabelingHealth Literacy

Identifiers

PMID31432651
PMCPMC6698451

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LicenceCC BY-NC
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Registered trials

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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.