Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach

Abstract Background Understanding factors that affect dental attendance behavior helps in constructing effective oral health campaigns. A socio-cognitive model that adequately explains variance in regular dental attendance has yet to be validated among younger adults in Norway. Focusing a representative sample of younger Norwegian adults, this cross-sectional study provided an empirical test of the Theory of Planned Behavior (TPB) augmented with descriptive norm and action planning and estimated direct and indirect effects of attitudes, subjective norms, descriptive norms, perceived behavioral control and action planning on intended and self-reported regular dental attendance. Method Self-administered questionnaires provided by 2551, 25–35 year olds, randomly selected from the Norwegian national population registry were used to assess socio-demographic factors, dental attendance as well as the constructs of the augmented TPB model (attitudes, subjective norms, descriptive norms, intention, action planning). A two-stage process of structural equation modelling (SEM) was used to test the augmented TPB model. Results Confirmatory factor analysis, CFA, confirmed the proposed correlated 6-factor measurement model after re-specification. SEM revealed that attitudes, perceived behavioral control, subjective norms and descriptive norms explained intention. The corresponding standardized regression coefficients were respectively (β = 0.70), (β =0.18), (β = − 0.17) and (β =0.11) (p

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PID https://www.doi.org/10.6084/m9.figshare.c.4120163.v1
PID https://www.doi.org/10.6084/m9.figshare.c.4120163
URL https://dx.doi.org/10.6084/M9.FIGSHARE.C.4120163
URL https://dx.doi.org/10.6084/m9.figshare.c.4120163.v1
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Author Anne Åstrøm
Author Stein Lie
Author Ferda Gülcan
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Collected From Datacite
Hosted By figshare
Publication Date 2018-06-01
Publisher Figshare
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::d52b4070a3841eef436dfc8558ffca9d
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Last Updated 11 January 2021, 10:56 (CET)
Created 11 January 2021, 10:56 (CET)