Evidence map›Paper›PMID 30744209›Full record

ArticleInternational journal of environmental research and public health2019

Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation.

Che Wan Jasimah Wan Mohamed Radzi, Hashem Salarzadeh Jenatabadi, Ayed R A Alanzi, Mohd Istajib Mokhtar, Mohd Zufri Mamat, Nor Aishah Abdullah

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 57 citations in OpenAlex.

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  12. Prevalence, Associated Factors and Psychological Determinants of Obesity among Adults in Selangor, Malaysia.International journal of environmental research and public health · 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

6 authors at 2 institutions in 2 countries.

Che Wan Jasimah Wan Mohamed RadziDepartment of Science and Technology Studies, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. jasimah@um.edu.my.ORCID 0000-0002-7727-2077
Hashem Salarzadeh JenatabadiDepartment of Science and Technology Studies, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. jenatabadi@um.edu.my.
Ayed R A AlanziDepartment of Mathematics, College of Science and Human Studies at Hotat Sudair, Majmaah University, Majmaah 11952, Saudi Arabia. auid1403@hotmail.com.
Mohd Istajib MokhtarDepartment of Science and Technology Studies, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. ista.ajib@um.edu.my.ORCID 0000-0001-8530-9389
Mohd Zufri MamatDepartment of Science and Technology Studies, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. mdzufri@um.edu.my.
Nor Aishah AbdullahDepartment of Science and Technology Studies, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. aishah.abdullah@um.edu.my.
University of Malaya · MYMajmaah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In obesity modelling studies, researchers have been seeking to identify the effective indicators of obesity by using appropriate statistical or mathematical techniques. The main objective of the present study is addressed in three stages. First, a new framework for modelling obesity in university students is introduced. The second stage involves data analysis based on Bayesian Structural Equation Modelling (BSEM) for estimating the Body Mass Index (BMI) (representative of the obesity level) of students at three university levels: Bachelor, Master and PhD. In the third stage, the highest significant correlation is determined between the BMI and other variables in the research model that were found significant through the second phase. The data for this study were collected from students at selected Malaysian universities. The results indicate that unhealthy food intake (fast food and soft drinks), social media use and stress exhibit the highest weightage contributing to overweight and obesity issues for Malaysian university students.

Indexed as

Body Mass IndexAdultBayes TheoremCarbonated BeveragesCross-Sectional StudiesDietFast FoodsFemaleHumansLatent Class AnalysisMalaysiaMaleObesityOverweightSocial MediaStress, Psychologicalcomparison studyobesity modellingPearson correlationstructural equation modelling

Identifiers

PMID30744209
PMCPMC6388275
OpenAlexW2914474017

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.