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Structural equation modelling of the complex relationship between toothache and its associated factors among Indonesian children.

ABSTRACT: The Indonesian family life survey (IFLS) is used for formulating various government policies. Our preliminary study using data from the IFLS showed increase in the prevalence of toothache from 2007 to 2014. Hence, a need to analyse the factors associated with toothache using structural equation modelling (SEM) for identifying the direct and indirect association of factors with toothache was evident. The objective of this study is to analyse the complex relationships between toothache and its associated risk factors. This cross-sectional study was conducted on the data obtained from the IFLS in 2014. The IFLS data pertaining to toothache and its prevalence were analysed using the STATA software, and the multifaceted relationship was analysed using SEM. The prevalence of toothache among Indonesian children was 15.55% (1,959 of 12,595). SEM showed the direct association between toothache and age (p?

SUBMITTER: Bakar A

PROVIDER: S-EPMC7419561 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Structural equation modelling of the complex relationship between toothache and its associated factors among Indonesian children.

Bakar Abu A Ningrum Valendriyani V Lee Andy A Hsu Wen-Kuang WK Amalia Rosa R Dewanto Iwan I Lee Shih-Chieh SC

Scientific reports 20200811 1

The Indonesian family life survey (IFLS) is used for formulating various government policies. Our preliminary study using data from the IFLS showed increase in the prevalence of toothache from 2007 to 2014. Hence, a need to analyse the factors associated with toothache using structural equation modelling (SEM) for identifying the direct and indirect association of factors with toothache was evident. The objective of this study is to analyse the complex relationships between toothache and its ass ...[more]

PMID: 32782302

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Project description:BackgroundActive school travel (AST) is influenced by multiple factors including built and social environments, households and individual variables. A holistic theory such as Mitra's Behavioural Model of School Transportation (BMST) is vital to comprehensively understand these complex interrelationships. This study aimed to assess direct and indirect associations between children's AST and environmental, household and child factors based on the BMST using structural equation modelling (SEM).MethodsData were drawn from Neighbourhoods for Active Kids (NfAK), a cross-sectional study of 1102 children aged 8-13 years (school years 5-8) and their parents from nine intermediate and 10 primary schools in Auckland, New Zealand between February 2015 and December 2016. Data were collected using an online participatory mapping survey (softGIS) with children, a computer-assisted telephone interviewing survey (CATI) with parents, and ArcGIS for built environment attributes. Based on the BMST a conceptual model of children's school travel behaviour was specified for SEM analyses ('hypothesised SEM'), and model modification was made to improve the model ('modified SEM'). SEM analyses using Mplus were performed to test the hypothesised/modified SEM and to assess direct and indirect relationships among variables.ResultsThe overall fit of the modified SEM was acceptable (N = 542; Root mean square error of approximation = 0.04, Comparative fit index = 0.94, Tucker-Lewis index = 0.92). AST was positively associated with child independent mobility, child-perceived neighbourhood safety, and parent-perceived importance of social interaction and neighbourhood social environment. Distance to school, and parental perceptions of convenience and concerns about traffic safety were negatively associated with AST. Parental fears of stranger danger were indirectly related to AST through those of traffic safety. Distance to school and child independent mobility mediated relationships between AST and child school year and sex.ConclusionsIncreasing children's AST requires action on multiple fronts including communities that support independent mobility by providing child friendly social and built environments, safety from traffic, and policies that promote local schools and safe vehicle-free zones around school.

Dataset Information

Structural equation modelling of the complex relationship between toothache and its associated factors among Indonesian children.

Publications

Structural equation modelling of the complex relationship between toothache and its associated factors among Indonesian children.

Similar Datasets

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