Evidence map›Paper›PMID 36397775›Full record

ArticleHeliyon2022

Residents' perceptions of household food waste during the COVID-19 outbreak in Korea.

Mona Chang, Walimuni Arachchilage C S M, Wisurumuni Arachchilage Hasitha Maduranga Karunarathne, Min-Cheol Kim

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mona ChangBK 21 Social Data Science Educational Research Group, Jeju National University, Jeju, 63243, South Korea.
Walimuni Arachchilage C S MFaculty of Data Science for Sustainable Growth, Jeju National University, Jeju, 63243, South Korea.
Wisurumuni Arachchilage Hasitha Maduranga KarunarathneDepartment of Marine Life Science, Jeju National University, Jeju, 63243, Republic of Korea.
Min-Cheol KimFaculty of Data Science for Sustainable Growth, Jeju National University, Jeju, 63243, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing household food waste data at the global or national level remains a challenge, especially owing to lack of statistical systems and socio-cultural differences. This study determined the factors affecting the intention of households to reduce food waste on Jeju Island and on the Korean mainland. Socio-demographic factors significantly influence household food waste generation. Therefore, studies are often conducted depending on data availability in the corresponding regions. Based on national data and the theory of planned behavior, this study analyzed data using PLS-SEM (Partial Least Squares Structural Equation Modeling) to test the influence of multiple determinants and parameters on dependent variables and investigated the awareness of household food waste in Korea, focusing on Jeju Province, Korea's largest tourist destination. A survey of 508 local residents established that all factors evaluated in this study, except for risk concerns due to COVID-19, were statistically significant. Among the three antecedents of age, income, and family size, age significantly affected all mediators, directly affecting behavioral intentions. The results are consistent with those of preceding research on the effects of socio-demographic drivers on household food waste generation. The results also indicate that in Korea, where the COVID-19 infection level is lower than that in other countries, residents did not change their food purchasing and waste production patterns. However, a multi-group analysis revealed that the risk concerns caused by COVID-19 differed between residents of Jeju Island and mainland Korea. Overcoming the vulnerability of waste management, including food dumping, is mandatory for locals and tourists on Jeju Island.

Indexed as

COVID-19Food wastePrice consciousnessRisk concernsSocio-demographic characteristicsTheory of planned behavior

Identifiers

PMID36397775
PMCPMC9650487

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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.