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Application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at Bahir Dar city, Ethiopia

Knowing the level of behavioral intention and tooth-brushing practices is crucial for the implementation of the intervention. However, such studies are too limited in Ethiopia. The current study employed a health behavior model to identify predictors that can serve to support primary school children...

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Autores principales: Kebede, Natnael, Wondiye, Habtamu, Melkamu, Lidiya, Anagaw, Tadele Fentabil, Assefa, Elias, Bogale, Eyob Ketema, Hailu, Gebremedhin, Mohammed, Yirgalem, Adane, Bezawit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789586/
https://www.ncbi.nlm.nih.gov/pubmed/36566198
http://dx.doi.org/10.1186/s12903-022-02676-3
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author Kebede, Natnael
Wondiye, Habtamu
Melkamu, Lidiya
Anagaw, Tadele Fentabil
Assefa, Elias
Bogale, Eyob Ketema
Hailu, Gebremedhin
Mohammed, Yirgalem
Adane, Bezawit
author_facet Kebede, Natnael
Wondiye, Habtamu
Melkamu, Lidiya
Anagaw, Tadele Fentabil
Assefa, Elias
Bogale, Eyob Ketema
Hailu, Gebremedhin
Mohammed, Yirgalem
Adane, Bezawit
author_sort Kebede, Natnael
collection PubMed
description Knowing the level of behavioral intention and tooth-brushing practices is crucial for the implementation of the intervention. However, such studies are too limited in Ethiopia. The current study employed a health behavior model to identify predictors that can serve to support primary school children's attitudes, intentions, knowledge, environmental constraints, and practices of tooth brushing. Thus, this study aimed to assess tooth brushing practices and their predictors among primary school children in Bahir Dar city, Ethiopia. An Institutional based cross-sectional study was conducted among primary school children in Bahir Dar city. A multi-stage sampling technique was used to select 610 participants. Data were collected using pre-tested interviewer-administered questionnaires. Questionnaires adapted from items' previous literature were used for integrated behavioral model constructs incorporated with elicitation study results. Data were entered into Epi data and then analyzed by Stata. Descriptive statistics were done. Confirmatory factor analysis was performed to check the convergent validity of the measurement. The Internal reliability of the items was also checked using composite reliability. Multivariable logistic regression was used to predict the role of independent variables in toothbrushing practices. Moreover, path analysis was performed to check the causal effect of integrated behavioral model constructs on toothbrushing practices. The goodness of fit of the final model was checked using the Hosmer and Lemeshow test of best fit with a large p value = 0.97 and Area under receiver operating characteristics curve = 0.98. The overall prevalence of the current practice of toothbrushing among the respondents was 45.4%. The prevalence of brushing frequency was 243 (89.01%), 27 (9.89%), and 3 (1.09%) brushed once a day, twice a day, and more than twice a day respectively. Female child's [AOR 3.23, 95% CI 1.48–7.02], mothers' education [AOR 4.6; 95% CI 1.22–17.44], past experience of toothbrushing [AOR 0.042; CI 0.018–0.101], knowledge about tooth brushing practices [AOR 1.3; 95% CI 1.09–1.60], behavioral intention [AOR 2.01; 95% CI 1.74–2.32], experiential attitude [AOR 1.09; 95% CI 1.01–1.17],instrumental attitude [AOR 1.02; 95% CI 1.01–1.03], and descriptive norm [AOR 1.07; 95% CI 1.01–1.14] were predictors of toothbrushing practices. The findings indicate that the practice of toothbrushing practices among primary school students was low. Sex, mother's education, knowledge, intention, experience, experiential attitude, instrumental attitude, and descriptive norm, have significant effects on toothbrushing practices; indicating that the integrated behavioral model showed adequate utility in predicting toothbrushing practices in the study area. School-based toothbrushing practices change interventions such as communication strategy.
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spelling pubmed-97895862022-12-25 Application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at Bahir Dar city, Ethiopia Kebede, Natnael Wondiye, Habtamu Melkamu, Lidiya Anagaw, Tadele Fentabil Assefa, Elias Bogale, Eyob Ketema Hailu, Gebremedhin Mohammed, Yirgalem Adane, Bezawit BMC Oral Health Research Knowing the level of behavioral intention and tooth-brushing practices is crucial for the implementation of the intervention. However, such studies are too limited in Ethiopia. The current study employed a health behavior model to identify predictors that can serve to support primary school children's attitudes, intentions, knowledge, environmental constraints, and practices of tooth brushing. Thus, this study aimed to assess tooth brushing practices and their predictors among primary school children in Bahir Dar city, Ethiopia. An Institutional based cross-sectional study was conducted among primary school children in Bahir Dar city. A multi-stage sampling technique was used to select 610 participants. Data were collected using pre-tested interviewer-administered questionnaires. Questionnaires adapted from items' previous literature were used for integrated behavioral model constructs incorporated with elicitation study results. Data were entered into Epi data and then analyzed by Stata. Descriptive statistics were done. Confirmatory factor analysis was performed to check the convergent validity of the measurement. The Internal reliability of the items was also checked using composite reliability. Multivariable logistic regression was used to predict the role of independent variables in toothbrushing practices. Moreover, path analysis was performed to check the causal effect of integrated behavioral model constructs on toothbrushing practices. The goodness of fit of the final model was checked using the Hosmer and Lemeshow test of best fit with a large p value = 0.97 and Area under receiver operating characteristics curve = 0.98. The overall prevalence of the current practice of toothbrushing among the respondents was 45.4%. The prevalence of brushing frequency was 243 (89.01%), 27 (9.89%), and 3 (1.09%) brushed once a day, twice a day, and more than twice a day respectively. Female child's [AOR 3.23, 95% CI 1.48–7.02], mothers' education [AOR 4.6; 95% CI 1.22–17.44], past experience of toothbrushing [AOR 0.042; CI 0.018–0.101], knowledge about tooth brushing practices [AOR 1.3; 95% CI 1.09–1.60], behavioral intention [AOR 2.01; 95% CI 1.74–2.32], experiential attitude [AOR 1.09; 95% CI 1.01–1.17],instrumental attitude [AOR 1.02; 95% CI 1.01–1.03], and descriptive norm [AOR 1.07; 95% CI 1.01–1.14] were predictors of toothbrushing practices. The findings indicate that the practice of toothbrushing practices among primary school students was low. Sex, mother's education, knowledge, intention, experience, experiential attitude, instrumental attitude, and descriptive norm, have significant effects on toothbrushing practices; indicating that the integrated behavioral model showed adequate utility in predicting toothbrushing practices in the study area. School-based toothbrushing practices change interventions such as communication strategy. BioMed Central 2022-12-24 /pmc/articles/PMC9789586/ /pubmed/36566198 http://dx.doi.org/10.1186/s12903-022-02676-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kebede, Natnael
Wondiye, Habtamu
Melkamu, Lidiya
Anagaw, Tadele Fentabil
Assefa, Elias
Bogale, Eyob Ketema
Hailu, Gebremedhin
Mohammed, Yirgalem
Adane, Bezawit
Application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at Bahir Dar city, Ethiopia
title Application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at Bahir Dar city, Ethiopia
title_full Application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at Bahir Dar city, Ethiopia
title_fullStr Application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at Bahir Dar city, Ethiopia
title_full_unstemmed Application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at Bahir Dar city, Ethiopia
title_short Application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at Bahir Dar city, Ethiopia
title_sort application of the integrated behavioral model to identify the predictors of toothbrushing practices among primary school children at bahir dar city, ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789586/
https://www.ncbi.nlm.nih.gov/pubmed/36566198
http://dx.doi.org/10.1186/s12903-022-02676-3
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