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Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach
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 sam...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984321/ https://www.ncbi.nlm.nih.gov/pubmed/29855371 http://dx.doi.org/10.1186/s12903-018-0558-7 |
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author | Åstrøm, Anne N. Lie, Stein Atle Gülcan, Ferda |
author_facet | Åstrøm, Anne N. Lie, Stein Atle Gülcan, Ferda |
author_sort | Åstrøm, Anne N. |
collection | PubMed |
description | 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 < 0.001). Intention (β =0.46) predicted action planning and action planning (β =0.19) predicted dental attendance behavior (p < 0.001). The model revealed indirect effects of intention and perceived behavioral control on behavior through action planning and through intention and action planning, respectively. The final model explained 64 and 41% of the total variance in intention and dental attendance behavior. CONCLUSION: The findings support the utility of the TPB, the expanded normative component and action planning in predicting younger adults’ intended- and self-reported dental attendance. Interventions targeting young adults’ dental attendance might usefully focus on positive consequences following this behavior accompanied with modeling and group performance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12903-018-0558-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5984321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59843212018-06-07 Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach Åstrøm, Anne N. Lie, Stein Atle Gülcan, Ferda BMC Oral Health Research Article 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 < 0.001). Intention (β =0.46) predicted action planning and action planning (β =0.19) predicted dental attendance behavior (p < 0.001). The model revealed indirect effects of intention and perceived behavioral control on behavior through action planning and through intention and action planning, respectively. The final model explained 64 and 41% of the total variance in intention and dental attendance behavior. CONCLUSION: The findings support the utility of the TPB, the expanded normative component and action planning in predicting younger adults’ intended- and self-reported dental attendance. Interventions targeting young adults’ dental attendance might usefully focus on positive consequences following this behavior accompanied with modeling and group performance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12903-018-0558-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-31 /pmc/articles/PMC5984321/ /pubmed/29855371 http://dx.doi.org/10.1186/s12903-018-0558-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Åstrøm, Anne N. Lie, Stein Atle Gülcan, Ferda Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach |
title | Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach |
title_full | Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach |
title_fullStr | Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach |
title_full_unstemmed | Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach |
title_short | Applying the theory of planned behavior to self-report dental attendance in Norwegian adults through structural equation modelling approach |
title_sort | applying the theory of planned behavior to self-report dental attendance in norwegian adults through structural equation modelling approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984321/ https://www.ncbi.nlm.nih.gov/pubmed/29855371 http://dx.doi.org/10.1186/s12903-018-0558-7 |
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