Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154032
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHo, Lynn Yi-Chingen_US
dc.contributor.authorLee, Vivian Shu Yien_US
dc.contributor.authorHo, Ringo Moon-Hoen_US
dc.contributor.authorLin, Gladis Jingen_US
dc.contributor.authorThumboo, Julianen_US
dc.date.accessioned2022-06-08T01:13:11Z-
dc.date.available2022-06-08T01:13:11Z-
dc.date.issued2021-
dc.identifier.citationHo, L. Y., Lee, V. S. Y., Ho, R. M., Lin, G. J. & Thumboo, J. (2021). Towards a parsimonious pathway model of modifiable and mediating risk factors leading to diabetes risk. International Journal of Environmental Research and Public Health, 18(20), 10907-. https://dx.doi.org/10.3390/ijerph182010907en_US
dc.identifier.issn1660-4601en_US
dc.identifier.urihttps://hdl.handle.net/10356/154032-
dc.description.abstractModifiable risk factors are of interest for chronic disease prevention. Few studies have assessed the system of modifiable and mediating pathways leading to diabetes mellitus. We aimed to develop a pathway model for Diabetes Risk with modifiable Lifestyle Risk factors as the start point and Physiological Load as the mediator. As there are no standardised risk thresholds for lifestyle behaviour, we derived a weighted composite for Lifestyle Risk. Physiological Load was based on an index using clinical thresholds. Sociodemographics are non-modifiable risk factors and were specified as covariates. We used structural equation modeling to test the model, first using 2014/2015 data from the Indonesian Family Life Survey. Next, we fitted a smaller model with longitudinal data (2007/2008 to 2014/2015), given limited earlier data. Both models showed the indirect effects of Lifestyle Risk on Diabetes Risk via the mediator of Physiological Load, whereas the direct effect was only supported in the cross-sectional analysis. Specifying Lifestyle Risk as an observable, composite variable incorporates the cumulative effect of risk behaviour and differentiates this study from previous studies assessing it as a latent construct. The parsimonious model groups the multifarious risk factors and illustrates modifiable pathways that could be applied in chronic disease prevention efforts.en_US
dc.description.sponsorshipNational Medical Research Council (NMRC)en_US
dc.language.isoenen_US
dc.relationNMRC/CG/C027/2017en_US
dc.relation.ispartofInternational Journal of Environmental Research and Public Healthen_US
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.subjectSocial sciences::Generalen_US
dc.titleTowards a parsimonious pathway model of modifiable and mediating risk factors leading to diabetes risken_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Social Sciencesen_US
dc.identifier.doi10.3390/ijerph182010907-
dc.description.versionPublished versionen_US
dc.identifier.pmid34682644-
dc.identifier.scopus2-s2.0-85117010970-
dc.identifier.issue20en_US
dc.identifier.volume18en_US
dc.identifier.spage10907en_US
dc.subject.keywordsDiabetesen_US
dc.subject.keywordsRisk Factorsen_US
dc.description.acknowledgementY.-C.L.H and V.S.Y.L are funded by a grant, NMRC/CG/C027/2017.en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:SSS Journal Articles
Files in This Item:
File Description SizeFormat 
ijerph-18-10907-v2.pdf1.24 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 50

2
Updated on Nov 26, 2023

Web of ScienceTM
Citations 50

2
Updated on Oct 31, 2023

Page view(s)

78
Updated on Dec 4, 2023

Download(s)

12
Updated on Dec 4, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.