Dataset Information

Determinants of intention to improve oral hygiene behavior among students based on the theory of planned behavior: A structural equation modelling analysis.

ABSTRACT:

Introduction

The prevalence of oral hygiene behaviors (OHB) is very low among school children in Ethiopia. However, the determinants of student's readiness/intention to perform those behaviors have been remained unstudied.

Objective

This study aimed to identify the determinants of oral hygiene behavioral intention (OHBI) among preparatory school students based on the theory of planned behavior (TPB).

Methods and materials

An institution-based cross-sectional study was conducted among 393 students. A 98-item self-administered questionnaire was used to evaluate oral hygiene knowledge (OHK), oral hygiene behavior (OHB), and OHBI based on TPB variables [attitude (ATT), subjective norms (SN) and perceived behavioral control (PBC)]. Descriptive statistics and structural equation modeling analysis (SEM) were employed to confirm relationships and associations among study variables. A p-value of less than 0.05 and a 95% confidence interval were used to declare statistical significance.

Results

A total of 393 students were participated with a response rate of 97.5%. The mean age of the participants (54% females) was 18 (± 1.3) with an age range of 16 to 24. The TPB model was well fitted to the data and explained 66% of the variance in intention. ATT (? = 0.38; 95% CI, (0.21, 0.64)), SN (? = 0.33; 95% CI, (0.05, 0.83)) and PBC (? = 0.29; 95% CI, (0.13, 0.64)) were significant predictors of OHBI, where ATT was the strongest predictor of OHBI.

Conclusion

The TPB model explained a large variance in the intention of students to improve their OHB. All TPB variables were significantly and positively linked to stronger intent, as the theory suggests. Furthermore, these results suggest that the model could provide a framework for oral hygiene promotion interventions in the study area. Indeed, these interventions should focus on changing the attitudes of students towards OHB, creation of positive social pressure, and enabling students to control over OHB barriers.

SUBMITTER: Shitu K

PROVIDER: S-EPMC7906382 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Determinants of intention to improve oral hygiene behavior among students based on the theory of planned behavior: A structural equation modelling analysis.

Shitu Kegnie K Alemayehu Mekuriaw M Buunk-Werkhoven Yvonne A B YAB Handebo Simegnew S

PloS one 20210225 2

<h4>Introduction</h4>The prevalence of oral hygiene behaviors (OHB) is very low among school children in Ethiopia. However, the determinants of student's readiness/intention to perform those behaviors have been remained unstudied.<h4>Objective</h4>This study aimed to identify the determinants of oral hygiene behavioral intention (OHBI) among preparatory school students based on the theory of planned behavior (TPB).<h4>Methods and materials</h4>An institution-based cross-sectional study was condu ...[more]

PMID: 33630853

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Project description:BackgroundThe present study aimed to develop and test an extended theory of planned behavior (TPB), which includes attitudes, subjective norms and perceived behavioral control, oral health knowledge, and past oral health behavior on the intention to improve oral health behaviors among primary school students in Shanghai, China.MethodsA school-based cross-sectional study was conducted with 414 students in the third-grade from 10 classes of Mingqiang Primary School located in Shanghai, China. Participants were recruited in October 2019. Data were collected through self-reported questionnaires, consisting of demographic characteristics, TPB variables, oral health knowledge and past oral health behaviors. Exploratory factor analysis was used to analyze TPB items. Pearson's correlation and hierarchical regression analyses were conducted to identify the associated factors of intention to improve oral health behaviors.ResultsThe study showed that among students in the third grade, attitudes, subjective norms, perceived behavioral control, and past oral health behaviors were associated with the intention to improve oral health behaviors. In the hierarchical regression analysis, age and sex were entered in Model 1 which significantly explained 3.00% of the variance (F = 6.26, p < 0.01). The addition of Model 2 variables of attitudes, perceived behavioral control, subjective norms, and oral health knowledge revealed that TPB variables explained 26.70% (F = 29.59, p < 0.01). For Model 3, the addition of past oral health behaviors accounted for a further 1% of variance, and the full model has accounted for 28.30% of the variance with the intention to improve oral health behaviors (F = 22.8, p < 0.01). Regression analyses supported that among the significant variables, perceived behavioral control had the largest beta weight, followed by subjective norms and past oral health behaviors.ConclusionThe extended TPB model constructed in this study could be used to explain children's intentions to improve oral health behaviors. Children's oral health-related perceived behavioral control, subjective norms, and past oral health behaviors may serve as priority intervention targets in oral health promotion practices aimed at children.

Project 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 (??=?0.70), (? =0.18), (??=?-?0.17) and (? =0.11) (p?<?0.001). Intention (? =0.46) predicted action planning and action planning (? =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.

Project description:Background:Over-prescription of antibiotics is prevalent all over the world, contributing to the development of antibiotic resistance. The importance of understanding how physicians prescribe antibiotics is increasingly highlighted for the purpose of promoting good practice. This study aimed to identify factors that shape the antibiotic prescribing behaviors of physicians in primary care based on the theory of planned behavior (TPB). Methods:Data were collected from 503 prescribers within 65 primary care facilities in Hubei, tapping into four behavioral aspects leading to antibiotic prescribing based on TPB, namely, attitudes (the degree to which a prescriber is in favor of the use of antibiotics), subjective norms (perceived social pressure to which a prescriber is subject in relation to antibiotic prescriptions), perceived control of behaviors (how easy a prescriber feels in making a rational decision on antibiotic prescriptions) and intentions (the degree to which a prescriber is willing to prescribe antibiotics). A total of 440,268 prescriptions were audited to assess physician antibiotic prescribing practices. The four behavioral constructs were further linked with physician's actual use of antibiotics using structural equation modelling (SEM) based on TPB. Results:On average, 40.54% (SD?=?20.82%) of the outpatient encounters resulted in a prescription for an antibiotic given by the participants and 9.81% (SD?=?10.18%) of the patients were given two or more antibiotics. The participants showing a more favorable attitude toward antibiotics had a higher intention to prescribe antibiotics (??=?0.226, p?<?0.001) and a lower intention to reduce antibiotic use (??=?-?0.211, p?<?0.001). Those who perceived lower social pressure (??=?0.113, p?=?0.030) and higher control over prescribing behaviors (??=?0.113, p?=?0.037) reported a higher intention to reduce the use of antibiotics. However, such intention did not translate into prescribing practice (p?>?0.05), although stronger perceived behavioral control was directly linked with lower antibiotic prescriptions (??=?-?0.110, p?=?0.019). Weaker perceived behavioral control was evident in the participants who showed a less favorable attitude toward antibiotics (??=?0.128, p?=?0.001). Conclusion:Antibiotic prescribing practice is not under the volitional control of prescribers in primary care in China. Their rational prescribing practice is likely to be jeopardized by perceived weak control over prescribing behaviors.

Project description:BackgroundFemale genital cutting (FGC) is still among the most common harmful traditional practices, especially in Africa and Asia. Despite the existence of rich evidence on the prevalence of FGC, information about the primary target audiences' (girls') intention toward FGC is limited. Therefore, this study aimed to identify the predictors of primary school girls' behavioral intention toward female genital cutting.MethodsAn institution-based cross-sectional study was conducted from May 08 to 28, 2019 in Dunna district, South Ethiopia. A two-stage sampling technique was used to select 354 uncircumcised female students. A self-administered pre-tested structured questionnaire was used for data collection. Data were entered into Epi data manager version 4.0.2 and exported to STATA version 16.0. Descriptive analyses such as frequency, percentage, mean and standard deviation were performed as necessary. Univariable and multivariable linear regression analyses were conducted to identify predictors of primary school girls' intention to experience FGC.ResultsThe mean age of the respondents was 13.09±1.69 years with an age range of 10 to 18 years. Of the 354 respondents, 156 (44.1%) intended to experience FGC. The model accounted for 76.58% of the variance in primary school girls' intention to experience FGC. Among socio-demographic characteristics, mothers' educational level of ≤8 grade (β = 1.95, p<0.001) and the age of the respondents (β = -0.23, p = 0.036) predicted primary school girls' intention toward FGC. Among the constructs of the theory of planned behavior (TPB), direct perceived behavioral control (β = 0.47, p = 0.015), indirect perceived behavioral controls (β = 0.05, p = 0.002), and direct subjective norms (β = 0.18, p = 0.039) predicted primary school girls' intention to experience FGC.ConclusionsIn this study, we found that primary school girls' intention toward FGC was high. The educational level of mothers and the age of the respondents had a great influence on primary school girls' intention to experience FGC. Perceived lack of power and social pressure also predicted primary school girls' intention to engage in genital cutting. The findings suggest that FGC is mainly performed by the decision of the parents irrespective of the girls' preferences. Therefore, behavioral change communication interventions such as media campaigns, peer education and community dialogue guided by the TPB for empowering girls to confront FGC and reducing the influence of referents need to be focused.

Dataset Information

Determinants of intention to improve oral hygiene behavior among students based on the theory of planned behavior: A structural equation modelling analysis.

Introduction

Objective

Methods and materials

Results

Conclusion

Publications

Determinants of intention to improve oral hygiene behavior among students based on the theory of planned behavior: A structural equation modelling analysis.

Similar Datasets

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