Evidence map›Paper›PMID 35287267›Full record

ArticleSocio-economic planning sciences2022

The impact of social welfare and COVID-19 stringency on the perceived utility of food apps: A hybrid MCDM approach.

Liz Hassad de Andrade, Jorge Junio Moreira Antunes, Antônio Mamede Araújo de Medeiros, Peter Wanke, Bernardo Pereira Nunes

Open access · greenAbstract read
In one paragraph

Article in Socio-economic planning sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

3 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Liz Hassad de AndradeEBAPE, Fundação Getúlio Vargas, Brazil.
Jorge Junio Moreira AntunesCOPPEAD Graduate Business School, Federal University of Rio de Janeiro, Brazil.
Antônio Mamede Araújo de MedeirosEBAPE, Fundação Getúlio Vargas, Brazil.
Peter WankeCOPPEAD Graduate Business School, Federal University of Rio de Janeiro, Brazil.
Bernardo Pereira NunesSchool of Computing and Centre for Digital Humanities Research, the Australian National University, Australia.
Fundação Getulio Vargas · BRUniversidade Federal do Rio de Janeiro · BRAustralian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has created enormous challenges for society due to the various ways of impacting health. This paper focuses on the impact of the COVID-19 pandemic on people's food consumption patterns in the online environment. We investigate food app reviews and examine whether countries with a high rate of success with COVID-19 control consume more unhealthy food through mobile apps. We also investigate whether the population of countries with low social welfare eat more unhealthy food during the COVID-19 pandemic compared to countries with high social welfare. We take a hybrid multi-criteria decision making (MCDM) approach to calculate indexes based on the technique for order of preference by similarity to an ideal solution, complex proportional assessment, and VlseKriterijuska Optimizacija I Komoromisno Resenje. Results show that country social welfare and success in COVID-19 control negatively affect the perceived utility of the apps. Also, success in COVID-19 control and the perceived utility of food apps positively affect the proportion of unhealthy reviews, whereas social welfare has a negative impact. The results have important implications for public health policymakers, showing that the online food environment can be an important setting for interventions that seek to incentivize healthy eating.

Indexed as

COVID-19 controlFood consumptionMCDMOnline environmentSocial welfareUnhealthy food

Identifiers

PMID35287267
PMCPMC8907131
OpenAlexW4221054600

What OpenQuestion holds

Textmetadata
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.