Evidence map›Paper›PMID 34102050›Full record

ArticleOsong public health and research perspectives2021

Socio-demographic disparities in the eating behaviour of Malaysian children during the COVID-19 lockdown.

Sabrina Premila Joseph Louis, Tan Seok Tyug

Open access · diamondAbstract read
In one paragraph

Article in Osong public health and research perspectives, 2021. 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
0.7field-weighted citation impact, top 26% 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, 5 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

2 authors at 1 institution in 1 country.

Sabrina Premila Joseph LouisFaculty of Health and Life Sciences, Management and Science University, Shah Alam, Malaysia.
Tan Seok TyugFaculty of Health and Life Sciences, Management and Science University, Shah Alam, Malaysia.
Management and Science University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis cross-sectional study aimed to investigate the eating behaviour of Malaysian children aged 2 to 11 years old during the Movement Control Order (MCO) due to the coronavirus disease 2019 pandemic.

methodsA total of 204 Malaysian parents of children aged 2 to 11 years old were recruited for this study using a combination of purposive and snowball sampling approaches. Parents were required to fill an online questionnaire hosted on Google Forms, which consisted of socio-demographic characteristics (including child's gender, age, and ethnicity, as well as parental income during the MCO) and a 35-item list from the Children's Eating Behaviour Questionnaire (CEBQ). Data analysis was conducted by further stratifying the children's eating behaviour according to socio-demographic characteristics.

resultsNo significant differences were observed in the eating behaviour of the children across age and parental income groups during the MCO. Malaysian Indian children had significantly lower mean scores for the food responsiveness (2.50±0.64) and emotional over-eating (2.13±0.72) subscales than Malaysian Chinese children. Girls had a significantly higher mean score for the slowness in eating subscale during the MCO than boys.

conclusionChildren's eating behaviour were comparable across socio-demographic characteristics. Nonetheless, the findings of the current study provide an overview of Malaysian children's eating behaviour during the MCO.

Indexed as

ChildrenCOVID-19 lockdownEating behaviourMovement Control Order

Identifiers

PMID34102050
PMCPMC8256301
OpenAlexW3164365922

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.