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Article

Predictors of Oral Health Behaviors among Dental Students

1
Surgery I Department, Faculty of Dental Medicine, “Gr. T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
2
Faculty of Medicine, “Dimitrie Cantemir” University, 700115 Iasi, Romania
3
Prosthodontics Department, Faculty of Dental Medicine, “Gr. T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
4
Department of Computers, Electronics and Automation, Faculty of Electrical Engineering and Computer Science, “Stefan cel Mare” University of Suceava, 720225 Suceava, Romania
*
Authors to whom correspondence should be addressed.
Medicina 2023, 59(1), 106; https://doi.org/10.3390/medicina59010106
Submission received: 1 December 2022 / Revised: 26 December 2022 / Accepted: 30 December 2022 / Published: 3 January 2023
(This article belongs to the Section Dentistry and Oral Health)

Abstract

:
Background and Objectives: College life is a time when students take more responsibility for health-related behaviors. Aim: To determine the oral health behaviors of dental students, to motivate their transformation into cyanogenic behaviors by applying the planned behavior model, and to determine the degree to which students can modify behavior for oral health. Material and Methods: The results of the initial and final assessment (4 months apart) of the bacterial plaque present by means of the Quigley Hein and API indexes were collected from the student files. The Health-Promoting Lifestyle Profile II -HPLP II and Generalized Self-Efficacy Scale (GSE) questionnaires were used to determine the variables with predictor values that influence the cognitive-perceptual factors. Results: For the “health responsibility” domain, the average total value was 2.53 ± 0.9 (SD). For the “interpersonal relationships” domain, the average value was 2.82 ± 0.79. In the case of the “nutrition” domain, the desire to change the behavior of the participants was moderate (2.53 ± 1.19). “Physical activity” represents an important field in the everyday life of young adults. The results of the study indicated a moderate desire for change (2.52 ± 0.97). In the case of “spiritual growth”, in which self-esteem, the way the individual perceives the environment and the adaptation to it were evaluated, a great desire for change was observed (2.74 ± 0.82). Scale GSE questionnaire showed an α coefficient of 28.52 ± 0.82, a value that indicated a moderate to a high level of efficacy and self-confidence. Conclusions: The results of the study showed that students have a moderate tendency to change in all areas, except for interpersonal relationships, where the desire to change something is increased. The participants have a moderate to a high level of self-efficacy and self-confidence.

1. Introduction

The university environment provides the ideal setting for health promotion and education. Because students are more prone to unhealthy lifestyles (smoking, unhealthy eating, increased stress, and a sedentary lifestyle), universities are responsible for creating environments that support health and help students control their health [1,2].
Higher education has seen a rise in interest in implementing a health promotion strategy in recent years. Healthy habits and overall happiness among students can have a good effect on their academic performance and general health [3].
College life is a time when students take more responsibility for health-related behaviors. Some studies demonstrate the existing relationship between the perception of health and the responsibility for the health of young people in the university environment [4]. The way barriers and benefits to preventive health behaviors are perceived affects health responsibility. Thus, socioeconomic, and psycho-social status and integration problems in the university environment affect behaviors aimed at protecting and maintaining health [3,4,5].
Perceived stress is also integrated as a modulating component, and research suggests that it can be decreased by engaging in health-promoting behaviors and developing personal coping mechanisms. Due to the increased intellectual demands, new social ties, financial difficulties and limited support from family and friends, the transition to university can be quite stressful. Increased stress during this transition period may reduce the enactment of health-promoting behavior by reducing personal intentions to engage in health-promoting behaviors [6,7].
Social support has a direct impact on health, promoting behaviors that can improve health or lower stress and fostering behaviors by creating favorable environments and minimizing adverse situations [1,4].
Oral health behavior research has explored the effectiveness and applicability of various models in changing oral health behaviors. Health as a belief model, the planned behavior model, and the theory of motivated action are examples of models that focus on individuals taking responsibility for their own health [8,9].
The nature of the connections between ideas and attitudes is described by the theory of planned behavior. This theory holds that attitudes toward behaviors are evaluated in relation to possible personal principles about those behaviors, where a belief is defined as the possibility for behavior to be directed towards a certain outcome. In particular, the assessment of the result shows a behavior that is directly related to the person’s specific likelihood of reaching that end [10]. In the theory of planned behavior, the role of attitude control results from Bandura’s notion of self-efficacy. Fishbein and Cappella stated that self-efficacy is the same as perceived behavioral control in their integrative model [11].
One of the fundamental tactics for changing the educational system and attempting to improve the state of oral health is to establish and implement educational programs using excellent educational models and theories [12].
In the specialized literature, studies document that students usually follow unhealthy lifestyles, ignoring physical activity and responsibility for health. Some focus on the theme of self-efficacy, seen as the ability to achieve or not succeed in achieving goals. This is identified with the personal evaluation of the efficacy or competence to carry out a particular behavior successfully; it is the crucial factor in predicting a person’s behavior change, as it represents what the individual believes they can do. Although self-efficacy has a direct correlation with health behavior, it also has an indirect effect on health behavior through its influence on objectives. Self-efficacy is one of the most significant determinants of health-promoting behaviors among students, impacting their efficacy or competence to carry out a particular behavior, according to a growing body of research [7,13].
Through tenacity and commitment to serious work, ambition, adaptability, and resilience to pressure and depressive moods, self-efficacy enhances personal stamina [14,15,16,17].
For these reasons, this study aimed to determine the oral health behaviors of dental students, to motivate their transformation into healthy behavior by applying the planned behavior model, and to determine the degree to which students can modify behavior for oral health.

2. Materials and Methods

In order to achieve the proposed objectives, a cross-sectional descriptive study was carried out on a group of 68 students from the 5th year of the English series of the Faculty of Dental Medicine of the “Grigore T. Popa” University of Medicine and Pharmacy Iași, between October 2021 and April 2022. There were 78 students enrolled in the 5th year, English section. Applying the calculation formula for a confidence level of p = 95%, z = 1.96, with a margin of error of 5%, a number of 65 students should participate in the study to be relevant from a statistical point of view [18]. Since several students expressed their desire to participate in the study, we enrolled all those who wished. This time of the year was chosen to avoid stress during the exam session. This study intended to identify the usual pattern of oral health promotion behaviors. This research study was authorized by the “Grigore T. Popa” Iasi University’s Ethical Committee (No. 183/05.05.2022).
The students were informed about the purpose of the study, and it was explained that participation is voluntary and the information is confidential and anonymous. The information regarding demographic characteristics and healthy behavior as well as the results of the initial and final assessment (4 months apart) of the bacterial plaque present by means of the Quigley Hein and API indexes were completed by the student before the clinical examination. The evaluation of bacterial plaque indices was aimed at highlighting the changes in oral health behaviors.
The Quigley-Hein index quantitatively evaluates the presence of bacterial plaque on certain dental surfaces (buccal and oral) of teeth after revealing the bacterial plaque. For each surface, scores between 0 and 5 are given (0 meaning the absence of bacterial plaque on the evaluated surface, and 5 meaning more than 2/3 of the evaluated surface is covered with bacterial plaque). The score is obtained by dividing the amount by the number of evaluated surface scores obtained [19,20].
The API index (Approximal Plaque Index) qualitatively evaluates the presence of bacterial plaque in the interproximal spaces. The value 1 is given for each evaluated interproximal space. The final score is obtained by dividing the number of interproximal spaces with a bacterial plaque by the number of evaluated interproximal spaces, and then the value obtained is multiplied by 100 [21].
After the initial assessment, students received additional information on how to properly brush their teeth using the BASS technique [22] and the importance of using aids for tooth brushing (dental floss, mouthwash). The students were practically shown the correct technique for brushing their teeth and how to use interdental floss. A PowerPoint presentation was also used in which the subjects received information related to brushing and adjuvants for tooth brushing. Thus, they were encouraged to change their health-related behavior orally by applying the principles underlying the planned behavior model. This need for change was explained by referring to an action, aim, circumstances and moment. Thus, if the goal was “I need to brush my teeth at least 2 times with correct brushing technique, every day for the next few months”, “doing” is the action, “correct brushing technique” is the target, “two brushings per day” is the circumstances, and “in the coming months” is the moment. If the goal was “must floss after meals at least 1 time/day in the next months”, “use” is the action, “floss” is the target, “after meals” is the context, and “in the next months” is the time. Since the relevant and central beliefs for a particular behavior were different depending on the person, we tried to identify the relevant behavioral elements, the influence of culture, the intermediaries, and the blockages typical to each behavior using questions such as the following:
What do you like/dislike about your behavior?
What are some disadvantages of your behavior?
Would the people around you be against your behavior?
What things prevent you from performing the right behavior?
If you want to change your behavior, how sure are you that you can?
If the students considered the suggested behavior to be positive (attitude) and those around them want them to change their behavior (subjective norm), the result is a higher intention (motivation) and an increase in the probability of implementing the new behavior.
The theoretical framework for this study was based on the Pender model of health promotion [23]. For our study, cognitive-perceptual factors included perceived self-efficacy and health value. Modifiers included age, gender, place of residence, perceived social support, and perceived stress.
The Health-Promoting Lifestyle Profile II (HPLP II) and Generalized Self-Efficacy Scale questionnaires were used to determine the variables with predictor values that influence the cognitive-perceptual factors [23,24].
The HPLP II consists of 52 items in six subscales: spiritual growth, responsibility for health, physical activity, nutrition, interpersonal relationships, and stress management. Respondents indicate the frequency with which they engage in each behavior using a four-point scale ranging from 1 (never) to 4 (currently). The score for the general health-promoting lifestyle is obtained by averaging the individual responses to all 52 items and is a maximum of 4. The HPLP II score is divided into 3 subscales: low (1.60–2.25), moderate (2.26–2.71), and high (2.72–3.27). The six subscale results are given by the responses to the subscale items. Utilizing mean scores maintains the 2-to-4 measurement of responses and permits important comparisons of scores from the subscales. This tool will enable the investigation of oral health patterns, health-promoting lifestyle determinants, and the effects of lifestyle modification interventions.
The second questionnaire, the Generalized Self-Efficacy Scale (GSE), is designed to assess both one’s own beliefs and the self-confidence needed to cope with a variety of difficult life situations. It consists of ten elements, the answer options ranging from partially true (1) to exactly true (4) [6]. For the GSE, the total score (α coefficient) varies between 10 and 40, with a higher score indicating more self-efficacy and self-confidence [12].
According to the criteria established by Bandura [25], the “constructed” results and expectations were defined as physical, social, and self-evaluative results.
All collected data were entered and analyzed with SPSS (Statistical Package for Social Sciences) 26.0. Descriptive statistical analysis used mean and standard deviation to highlight changes in health behaviors. Logistic regression was used to determine the influence of predictors for oral health. The ANOVA test was used to compare the means between assessment steps. A p-value < 0.05 is considered statistically significant.

3. Results

The study group was formed by 68 young adults, with an average age of 24.10 ± 1.351 years (minimum age of 22 years and maximum of 29 years, 69% of them being female subjects, 79.4% coming from the urban environment (Table 1).
Regarding the distribution of the answers to the questions regarding healthy attitudes, it was observed that 70.6% of the participants performed at least 2 tooth brushings per day, this being done in proportion to 57.4% through a technique recommended by the doctor; for most of the participants brushing was manual (86.8%); 52.9% of them used dental floss to clean the interproximal spaces (Table 1).
Regarding the distribution of responses to the Health-Promoting Lifestyle Profile II questionnaire, the trend of behavior change was observed in all directions. Thus, for the “health responsibility” domain, the average total value was 2.53 ± 0.9 (SD), indicating a moderate tendency to change behavior; the highest values were recorded for the variable “sometimes” and “often” for all evaluated items (Table 2).
For the “interpersonal relationships” domain, the average value of 2.82 ± 0.79 indicated a great desire for change, especially regarding “spend time with close friends” (3.22 ± 0.80) and “touch and am touched by people I care about” (3.22 ± 0.80) (Table 2).
In the case of the “nutrition” domain, the desire to change the behavior of the participants was moderate (2.53 ± 1.19). It was observed that the participants understood the message regarding the importance of nutrition in maintaining optimal oral health. The initial value was 2.53 ± 1.19, with the reassessment being 2.8 ± 1.15. The lowest desire to change was recorded in the case of cereal consumption (2.25 ± 0.85) (Table 2).
“Physical activity” represents an important field in the everyday life of young adults. The results of the study indicated a moderate desire for change (2.52 ± 0.97), with the highest desire for change being recorded for daily relaxation time (2.88 ± 0.92), and the lowest for performing stretching exercises 3 times a week (2.24 ± 0.86).
In the case of “spiritual growth”, in which self-esteem, the way the individual perceives the environment, and the adaptation to it were evaluated, a great desire for change was observed (2.74 ± 0.82), especially regarding “believe that my life has a purpose” (3.01 ± 0.83) and “look forward to the future” (3.24 ± 0.75). The lowest desire for change was recorded in the case of the desire to perform relaxation exercises (2.18 ± 0.84) and to reduce agitation to prevent fatigue (2.32 ± 0.67) (Table 2).
For the “stress management” domain, where the subjects were questioned about their ability to adapt to stressful situations, challenges and changes, a value of 2.51 ± 0.83 was recorded, a value that indicated a moderate desire to change something. The lowest values were recorded for the items “check my pulse rate when exercising” (2.18 ± 0.97) and “reach my target heart rate when exercising” (2.15 ± 0.90) (Table 2).
The analysis of the results of the Generalized Self-Efficacy Scale (GSE) questionnaire showed an α coefficient of 28.52 ± 0.82, a value that indicated a moderate to the high level of efficacy and self-confidence. The highest scores were recorded in the case of items that emphasize the subjects’ ability to solve difficult situations by finding a solution (item 9: 3.09 ± 0.748) if they put in enough effort (item 1: 3.10 ± 0.813; item 6: 3.03 ± 0.880) (Table 3).
To highlight changes in oral health behavior, the changes in some indicators (bacterial plaque) and healthy behaviors (tooth brushing frequency/day, type of brushing performed, use of dental floss) were tracked. The results of the statistical analysis revealed statistically significant changes (p = 0.000) in the case of the bacterial plaque indices Quigley Hein and API; in the case of these indicators, lower values were recorded at the final reassessment compared to the initial one (QH: initial 1.089 ± 0.54, final 0.74 ± 0.47; API: initial 60.17% ± 27.66, final 37.16% ± 16.20) (Table 4).
Table 5 shows the change in attitude regarding tooth brushing, in the sense of increasing the percentage of subjects who brush their teeth at least 2x/day, with the percentage of those who brush their teeth 3x/day remaining unchanged. Changes were also registered in the case of the number of users of dental floss in the sense of the increase in the number of students who use auxiliary means for tooth brushing. It was observed that the way teeth are brushed (manual or electric) did not change, probably due to convenience or the belief that the brushing technique used is the best.
Multiple regression analysis of the demographic variables (gender, place of residence) with a score of six subcategories was performed to determine the predictors (Table 6).
In the case of health responsibility, the urban residence and female gender are related to better oral health responsibility (β = 0.128, p = 0.005 and β = 0.092, p = 0.032, respectively). The female gender was a predictor for lower interpersonal relationships and physical activity (β = −0.112, p = 0.023, respectively β = −0.188, p = 0.028). The urban residence and female gender were predictors for better nutrition (β = 0.135, p = 0.037 and β = 0.182, p = 0.075, respectively). The urban residence is a predictor for better spiritual growth and stress management (β = 0.109, p = 0.030 and β = 0.211, p = 0.002) and female gender for lower spiritual growth and stress management (β = −0.113, p = 0.026 and β = −0.163, p = 0.001, respectively).
The results of the correlation analysis between the GSES items and the demographic factors show that these correlations are significant at the 0.05 level for items 6 and 8 in relation to the residence and with items 2, 3 and 6 in relation to gender (Table 7).

4. Discussion

This study showed that students perceive their oral status in a favorable and accurate manner, having, in the vast majority, healthy behaviors. Any misjudgment of oral health behavior can be a barrier to changing it. Individual and personality factors such as external situations influence their health behaviors. As every person lives a situation in a different, specific way, information is perceived through different perceptions, and behavior is affected by skills [25].
We can also say that the environment from which the subjects participating in the study come is not a predictor of healthy behavior, because it influenced spiritual growth and stress management only in few female subjects. In our study, the dimensions where the obtained results were moderate concerning a healthy lifestyle were responsibility for health, physical activity, nutrition, and stress management.
The striking result of this study was that dental students scored quite low on the health responsibility subscale. This is because they are probably not trained to feel responsible for their health but tend to engage in risky health behaviors. It is known that academic facilities and services are often oriented towards sedentary activities (for example, students spend a lot of time in front of the computer) and not towards physical activities (students rarely do outdoor activities).
In our study, perceived self-efficacy was a positive predictor of oral health-promoting behaviors among college students, suggesting that individuals with higher perceived self-efficacy are more likely to engage in health-promoting behaviors. Our results are supported by previous studies on the determinants of health-promoting lifestyle behaviors, which claimed that self-efficacy was a cognitive-perceptual factor that was strongly linked to behaviors that promoted health [26].
The behavioral intention in this study was discovered to be a predictor for the behavior vis-à-vis tooth brushing and the use of its auxiliary means. Tooth brushing is a behavior that is personally controllable. When young people feel in control of their behavior, they are more likely to practice good oral hygiene. They cannot engage in effective behaviors to promote oral health if they lack strong self-efficacy and accurate information [27,28].
At the present time, the results of existing studies have shown that students’ self-efficacy beliefs can become better using student-focused learning strategies such that they can solve their own problems and develop their critical thinking and communication skills [29,30].
A study by Sussman and Gifford demonstrated that students become more likely to report positive attitudes towards oral health behavior if they associate, with their motivation for change, three essential components: attitudes, social expectations, and perceived behavioral control [31].
One of the critical times in youth is during college, known as a dynamic, transitional period. In this period of time, students begin to take ownership of their physical, mental, and social well-being. They must be aware of the proper health behaviors and use them to enhance their quality of life and overall health [32].
Changes of healthy behaviors were observed in the sub-dimensions of spiritual growth and interpersonal relationships. The results demonstrated that the differences in language and culture do not represent a barrier in communication. This is possible because spiritual growth influences their life goals as well as their self-development skills.
The results of existing studies show that the increased score of the spiritual dimension is due on the one hand to the conscious planning of their goals in life, and on the other hand, to the awareness of the aspects that can be improved.
The results of our study show that gender influences the dimension related to interpersonal relationships. Thus, male students received lower scores on this subscale than female subjects, and this difference can be correlated with monthly income; consequently, people with higher family incomes scored higher on this subscale [1,29].
In the case of sub-dimensions addressing stress management, the changes were moderate, improving with age and experience. Moderate resistance to stress showed relatively increased effectiveness in increasing the level of awareness of healthy practices among students. Stress management training has been shown to be beneficial when the annual curriculum includes stress management education courses [5,33].
The results of the study showed a moderate desire to do physical activity. This finding indicated that students had a more sedentary lifestyle, influenced by various factors including low self-efficacy as well as a lack of engagement in regular physical activities. Inadequate physical activity associated with an unhealthy diet are common problems among students. Hence, the moderate desire for change obtained in these subdimensions. The conducted study highlighted a moderate to high intention to change an unhealthy behavior. Therefore, to facilitate the process of transforming intention into behavior, it must be supported both by increased self-efficacy and social support, since some daily behaviors (tooth brushing or flossing) do not depend on intention but on habits and social support. In most studies, physical activity had one of the lowest overall scores among the subcategories [5,34,35]. Between 40% and 50% of students seem to be sedentary and physically inactive [36].
Ramezankhani et al. reported that 21.9% of students flossed every day, whereas Alidosti et al. showed that 37.5% of the study’s student participants flossed on a regular basis [12,37].
However, the factors that determine and influence individual oral health behavior are largely unknown; for this reason, the effectiveness of prevention and health education classes varies greatly [38].
This study has some limitations, including the small sample size (pilot study) and subjective evaluation (individual cognitive processing drives the start of behavior modification action). In-depth studies on a larger group of participants are needed to identify and understand the reasons for these behaviors and how they can be transformed from potentially unhealthy behaviors to healthy ones.

5. Conclusions

The results of the study showed that students have a tendency to change in almost all areas evaluated by the HPLP II questionnaire. The level of self-efficacy and self-confidence was medium.
Statistically significant changes were found in the Quigley Hein and API plaque indices, as well as the trend in tooth brushing attitude change.
It is not enough to identify and understand the reasons for these behaviors; we must find out how they can be transformed from potentially unhealthy behaviors to healthy behaviors.
The findings of this study provide information about health-promoting behaviors and their determinants in dental students that can help in planning educational programs and developing health-promotion programs that support healthy choices among students. Perceived self-efficacy should be considered when developing an oral health promotion program among college students.

Author Contributions

Conceptualization, A.O.A. and C.B.; methodology, A.O.A.; software, M.P. and D.I.V.; validation, R.F. and D.B.; formal analysis, D.G.B. and V.D.; investigation, A.O.A., V.D. and R.F.; data curation, D.G.B., D.I.V. and C.B.; writing—original draft preparation, A.O.A., D.G.B. and D.B.; writing—review and editing, A.O.A., D.I.V., M.P. and C.B.; visualization, D.I.V., C.B., R.F. and V.D.; project administration, A.O.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Ethics Committee of University of Medicine and Pharmacy “Grigore T. Popa” Iasi, Romania, No.183/05.05.2022. From an ethical point of view, this study was carried out in accordance with Research Law No. 206 of 27 May 2004 on good conduct in scientific research, technological development and innovation, the Integrity Guide in Scientific Research (published by the National Council for Ethics in Scientific Research, Technological Development and Innovation on 12 November 2020), and current European legislation.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Acknowledgments

All authors contributed equally to this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Alzahrani, S.H.; Malik, A.A.; Bashawri, J.; Shaheen, S.A.; Shaheen, M.M.; Alsaib, A.A.; Mubarak, M.A.; Adam, Y.S.; Abdulwassi, H.K. Health-promoting lifestyle profile and associated factors among medical students in a Saudi university. Sage Open Med. 2019, 7, 1–7. [Google Scholar] [CrossRef] [PubMed]
  2. Kelly, M.; Wills, J.; Sykes, S. Do nurses’ personal health behaviors impact on their health promotion practice? A systematic review. Int. J. Nurs. Stud. 2017, 76, 62–77. [Google Scholar] [CrossRef]
  3. Assaf, I.; Brieteh, F.; Tfaily, M.; El-Baida, M.; Kadry, S.; Balusamy, B. Students University Healthy Lifestyle Practice: Quantitative Analysis. Health Inf. Sci. Syst. 2019, 7, 7. [Google Scholar] [CrossRef] [PubMed]
  4. Özdelikara, A.; Ağaçdiken, A.S.; Mumcu, N. Hemşirelik öğrencilerinde sağlık algısı, sağlık anksiyetesi ve etkileyen faktörlerin belirlenmesi [Determination of health perception, health anxiety and effecting factors among nursing students]. Bakırköy Tıp Derg. Med. J. Bakırköy 2018, 14, 275–282. [Google Scholar]
  5. Music, L.; Mašina, T.; Puhar, I.; Plančak, L.; Kostrić, V.; Kobale, M.; Badovinac, A. Assessment of Health-Promoting Lifestyle among Dental Students in Zagreb, Croatia. Dent. J. 2021, 9, 28. [Google Scholar] [CrossRef]
  6. Al-Qahtani, M.F. Comparison of health-promoting lifestyle behaviors between female students majoring in healthcare and non-healthcare fields in KSA. J. Taibah Univ. Med. Sci. 2019, 14, 508–514. [Google Scholar]
  7. Citak, T.G.; Citak, B.N.; Cerit, B. The Relationship between International Students’ Health Perceptions and Their Healthy Lifestyle Behaviors. J. Relig. Health 2021, 60, 4331–4344. [Google Scholar] [CrossRef]
  8. Mueller, M.; Schorle, S.; Vach, K.; Hartmann, A.; Zeeck, A.; Schlueter, N. Relationship between dental experiences, oral hygiene education and self-reported oral hygiene behaviour. PLoS ONE 2022, 17, e0264306. [Google Scholar] [CrossRef]
  9. Oh, J.W.; Moon, Y.S. A predictive model of health promotion behavior in nursing students. J. Digit. Converg. 2014, 12, 391–403. [Google Scholar] [CrossRef] [Green Version]
  10. Armitage, C.J.; Conner, M. Eficacitatea teoriei comportamentului planificat: O analiză metaanalitică. Br. J. Soc. Psychol. 2001, 40, 471–499. [Google Scholar] [CrossRef] [Green Version]
  11. Fishbein, M.; Cappella, J.N. Rolul teoriei în dezvoltarea comunicărilor eficiente de sănătate. J. De Comun. 2006, 56, S1–S17. [Google Scholar]
  12. Alidosti, M.; Tavassoli, E. Role of self-efficacy, outcome expectation, and outcome expectancy in promoting oral health behaviors in adolescent girls. J. Educ. Health Promot. 2020, 9, 254. [Google Scholar]
  13. Bashirian, S.; Seyedzadeh-Sabounchi, S.; Samane, S.; Karimi-Shahanjarini, A.; Soltanian, A.R.; Vahdatinia, F. Predictors of oral health promotion behaviors among elementary school children: Examination of an extended social cognitive theory. Int. J. Paediatr. Dent. 2021, 31, 191–203. [Google Scholar] [CrossRef] [PubMed]
  14. Pandang, A.; Umar, F.N.; Harum, A.; Hajati, K.; Bahramuddin, H. Gender Disparities in Students’ Entrepreneurial Self-Efficacy (ESE) with Various Areas. Educ. Res. Int. 2022, 2022, 9479758. [Google Scholar] [CrossRef]
  15. Shakuna, K.S.; Mohamad, N.; Ali, A.B. The effect of school administration and educational supervision on teachers teaching performance: Training programs as a mediator variable. Asian Soc. Sci. 2020, 12, 257–272. [Google Scholar] [CrossRef] [Green Version]
  16. Mašina, T.; Madžar, T.; Musil, V. Differences in health promoting lifestyle profile among Croatian medical students according to gender and year of study. Acta. Clin. Croat 2017, 56, 84–91. [Google Scholar] [CrossRef] [Green Version]
  17. Chouhan, S. Analysing health promoting life styles of medical students in Bhopal, Madhya Pradesh, India by HPLP-II. Int. J. Commun. Med. Public Health 2016, 4, 195–199. [Google Scholar] [CrossRef] [Green Version]
  18. Xia, F.; Hughes, J.P.; Voldal, E.C.; Heagerty, P.J. Power and sample size calculation for stepped-wedge designs with discrete outcomes. Trials 2021, 22, 598. [Google Scholar] [CrossRef]
  19. Turesky, S.; Gilmore, N.D.; Glickman, I. Reduced plaque formation by the chloromethyl analogue of Victamine C. J. Periodontol. 1970, 41, 41–43. [Google Scholar] [CrossRef] [Green Version]
  20. Quigley, G.A.; Hein, J.W. Comparative cleansing efficiency of manual and power brushing. J. Am. Dent. Assoc. 1962, 65, 26–29. [Google Scholar] [CrossRef]
  21. Lange, D.E.; Plagmann, H.C.; Eenboom, A.; Promesberger, A. Clinical methods for the objective evaluation of oral hygiene. Dtsch Zahnarztl Z 1977, 32, 44–47. [Google Scholar] [PubMed]
  22. Suhasini, J.; Valiathan, M. Brushing Techniques. Eur. J. Mol. Clin. Med. 2020, 7, 6601–6611. [Google Scholar]
  23. Pender, N.J.; Murdaugh, C.L.; Parsons, M.A. Health Promotion in Nursing Practice, 6th ed.; Prentice-Hall: Upper Saddle River, NJ, USA, 2010. [Google Scholar]
  24. Walker, S.N.; Sechrist, K.R.; Pender, N.J. The health-promoting lifestyle profile: Development and psychometric characteristics. Nurs. Res. 1987, 36, 76–81. [Google Scholar] [CrossRef] [PubMed]
  25. Bandura, A. Health promotion by social cognitive means. Health Educ. Behav. 2004, 31, 143–164. [Google Scholar] [CrossRef] [PubMed]
  26. Aynaci, G.; Akdemir, O. The Relationship between Lifestyle, Health Promotion Lifestyle Profile II and High Blood Pressure in University Students. Maced. J. Med. Sci. 2018, 314, 1756. [Google Scholar] [CrossRef] [PubMed]
  27. Buglar, E.M.; White, M.K.; Robinson, G.N. The role of self-efficacy in dental patients’ brushing and flossing: Testing an extended Health Belief Model. Patient Educ. Couns. 2010, 78, 269–272. [Google Scholar] [CrossRef] [Green Version]
  28. Pouresmaeil, M.; Abbas, J.; Solhi, M.; Ziapour, A.; Fattahi, E. Prioritizing health promotion lifestyle domains in students of Qazvin. University of Medical Sciences from the students and professors’ perspective. J. Edu Health Promot. 2019, 8, 228. [Google Scholar]
  29. Wei, C.N.; Harada, K.; Ueda, K.; Fukumoto, K.; Minamoto, K.; Ueda, A. Assessment of healthpromoting lifestyle profile in Japanese university students. Environ. Health Prev. Med. 2012, 17, 222–227. [Google Scholar] [CrossRef] [Green Version]
  30. Gore, M.N.; Menon, K.C.; Safai, A.A.; Shukla, S.; Yeravdekar, R. Determinants of health-promoting lifestyles amongst Indian University students. Int. J. Health Promot. Educ. 2021, 59, 135–144. [Google Scholar]
  31. Sussman, R.; Gifford, R. Cauzalitatea în teoria comportamentului planificat. Bul. Personal. Și Psihol. Soc. 2019, 45, 920–933. [Google Scholar] [CrossRef] [Green Version]
  32. Goodarzi, A.; Heidarnia, A.; Tavafian, S.; Eslami, M. Predicting oral health behaviors among Iranian students by using health belief model. J. Educ. Health Promot. 2019, 8, 1–9. [Google Scholar]
  33. Cherblanc, J.; Bergeron-Leclerc, C.; Maltais, D.; Cadell, S.; Gauthier, G.; Labra, O.; Ouellet-Plamondon, C. Predictive factors of spiritual quality of life during the COVID-19 pandemic: A multivariate analysis. J. Relig. Health 2021, 60, 1475–1493. [Google Scholar] [CrossRef] [PubMed]
  34. Keating, X.D.; Guan, J.; Piñero, J.C.; Bridges, D.M. A Meta-Analysis of College Students’ Physical Activity Behaviors. J. Am. Coll. Health 2005, 54, 116–126. [Google Scholar] [CrossRef] [PubMed]
  35. Aljahdali, H.R.; Ashour, N.A.; Lamfon, G.N.; Khawandanh, S.Z.; Kurdi, L.K.; Faran, M.Y.; Khoja, A.A.; Bukhari, L.M.; Aljahdali, H.R.; Ashour, N.A.; et al. Pattern of Physical Exercise Practice among University Students in the Kingdom of Saudi Arabia (before Beginning and during College): A Cross-Sectional Study. BMC Public Health 2019, 19, 1716. [Google Scholar]
  36. Meemee, R.; Naw, O.K.K.; Aung, H.M. Factors Affecting Health-Promoting Lifestyles Among Community Residents at East Gyogone Ward, Insein Township. Makara J. Health Res. 2021, 25, 34–40. [Google Scholar]
  37. Ramezankhani, A.; Mazaheri, M.; Dehdari, T.; Movahedi, M. The relationship between HBM constructs with fifth grade students of dental caries in Dezful. J. Med. 2011, 2, 221–228. [Google Scholar]
  38. Ghaffari, M.; Rakhshanderou, S.; Ramezankhani, A.; Buunk-Werkhoven, Y.; Noroozi, M.; Armoon, B. Are educating and promoting interventions effective in oral health? A systematic review. Int. J. Dent. Hygiene 2017, 16, 1–11. [Google Scholar] [CrossRef]
Table 1. Demographic characteristics and oral hygiene habits of the participants.
Table 1. Demographic characteristics and oral hygiene habits of the participants.
Demographic Characteristics No%
Age24.10 ± 1.35 years (SD) (minimum age of 22 years and maximum age 29 years)
SexFemale4769.1
Male2130.9
Place of residenceUrban5479.4
Rural1420.6
Oral hygiene habits
Dental brushing frequency/day134.4
24870.6
31725.0
Recommended tooth brushing techniqueno3957.4
yes2942.6
Type of toothbrushingmanual brushing5986.8
electric brushing913.2
Use of dental flossno3247.1
yes3652.9
Table 2. The distribution of the answers to the Health-Promoting Lifestyle Profile II questionnaire, the average value, and the SD of the score.
Table 2. The distribution of the answers to the Health-Promoting Lifestyle Profile II questionnaire, the average value, and the SD of the score.
DomainQuestionnaire ItemQuestionVariablesMean Value ± SDTotal
Value ± SD
for Each Subscale
Never
%
Sometimes
%
Often
%
Routinely
%
health responsibility (nine items)1Report any unusual signs or symptoms to a physician or other health professional.10.333.845.610.32.56 ± 0.812.53 ± 0.90
(Moderate)
2Read or watch TV programs about improving health.13.242.627.916.22.74 ± 0.82
3Question health professionals in order to understand their instructions.4.4044.144.17.402.54 ± 0.70
4Get a second opinion when I question my healthcare provider’s advice.8.8035.338.217.62.65 ± 0.87
5Discuss my health concerns with health professionals10.344.135.310.32.46 ± 0.81
6Inspect my body at least monthly for physical changes/danger signs.7.4039.739.713.22.59 ± 0.81
7Ask for information from health professionals about how to take good care of myself.8.8038.241.211.32.56 ± 0.81
8Get support from a network of caring people.20.630.933.814.72.43 ± 0.98
9Attend educational programs on personal health care.19.142.630.97.402.26 ± 0.85
interpersonal relationships (nine items)1Discuss my problems and concerns with people close to me.1.5030.941.226.52.93 ± 0.792.82 ± 0.79
(High)
2Praise other people easily for their achievements.4.4025.054.416.22.82 ± 0.75
3Maintain meaningful and fulfilling relationships with others.5.9033.832.427.92.82 ± 0.91
4Spend time with close friends.0.0023.530.945.63.22 ± 0.80
5Find it easy to show concern, love, and warmth to others.7.4025.051.516.22.76 ± 0.81
6Touch and am touched by people I care about.0.0027.938.233.83.22 ± 0.80
7Find ways to meet my needs for intimacy.2.9039.748.58.802.63 ± 0.68
8Settle conflicts with others through discussion and compromise.5.9036.847.110.32.62 ± 0.75
9Seek guidance or counselling when necessary4.4052.925.017.62.56 ± 0.83
nutrition (nine items)1Read labels to identify nutrient, fat, and sodium content in packaged food.17.633.823.525.02.56 ± 1.0562.53 ± 1.19
(Moderate)
2Choose a diet low in fat, saturated fat, and cholesterol.11.857.416.214.72.34 ± 0.87
3Limited use of sugars and food containing sugar (sweets).11.848.525.014.72.43 ± 0.88
4Eat 6–11 servings of bread, cereal, rice and pasta daily.19.144.129.47.402.25 ± 0.85
5Eat 2–4 servings of fruit each day.5.9044.138.211.82.56 ± 0.78
6Eat 3–5 servings of vegetables each day.5.905.0030.913.22.51 ± 0.80
7Eat 2–3 servings of milk, yogurt or cheese each day.7.4044.132.415.22.99 ± 3.66
8Eat only 2–3 servings from the meat, poultry, fish, dried beans, eggs, and nuts group each day.7.4045.633.813.22.53 ± 0.82
9Eat breakfast.13.230.932.423.52.66 ± 0.98
physical activity (eight items)1Follow a planned exercise program.10.344.129.416.22.51 ± 0.882.52 ± 0.97
(Moderate)
2Exercise vigorously for 20 or more minutes at least three times a week (such as brisk walking, bicycling, aerobic dancing, using a stair climber).8.8042.632.416.22.56 ± 0.87
3Take some time for relaxation each day.7.4026.536.829.42.88 ± 0.92
4Take part in light to moderate physical activity (such as sustained walking 30–40 min 5 or more times a week).8.8044.127.919.12.57 ± 0.90
5Take part in leisure-time (recreational) physical activities (such as swimming, dancing, bicycling).7.4051.523.517.62.51 ± 0.87
6Do stretching exercises at least 3 times per week.17.651.520.610.32.24 ± 0.86
7Get exercise during usual daily activities (such as walking during lunch, using stairs instead of elevators, parking car away from the destination and walking).8.8042.626.522.12.62 ± 0.93
8Balance time between work and play. 5.9041.236.816.22.63 ± 0.82
spiritual growth (nine items)1Feel I am growing and changing in positive ways.2.9032.442.622.12.86 ± 0.802.74 ± 0.82
(High)
2Believe that my life has a purpose.1.5029.435.333.93.01 ± 0.83
3Look forward to the future.0.0019.138.242.63.24 ± 0.75
4Feel content and at peace with myself.2.9029.448.519.12.84 ± 0.76
5Work toward long-term goals in my life.4.4036.827.930.92.85 ± 0.91
6Practice relaxation or meditation for 15–20 min daily.19.152.919.18.82.18 ± 0.84
7Am aware of what is important to me in life.5.9035.332.426.52.79 ± 0.90
8Pace myself to prevent tiredness.10.348.539.71.502.32 ± 0.67
9Feel connected with some force greater than myself.8.8035.336.819.12.66 ± 0.89
stress management (eight items)1Get enough sleep.5.9052.927.913.22.49 ± 0.802.51 ± 0.83
(Moderate)
2Accept those things in my life which I cannot change.5.9032.445.616.22.72 ± 0.80
3Concentrate on pleasant thoughts at bedtime.4.4035.347.113.22.69 ± 0.75
4Use specific methods to control my stress.14.736.835.313.22.47 ± 0.90
5Find each day interesting and challenging.0.0052.935.311.82.59 ± 0.69
6Check my pulse rate when exercising. 25.047.113.214.72.18 ± 0.97
7Reach my target heart rate when exercising.26.539.726.57.42.15 ± 0.90
8Expose myself to new experiences and challenges2.9035.338.223.52.82 ± 0.82
Score low (1.60–2.25), moderate (2.26–2.71), and high (2.72–3.27)
Table 3. Recorded data analysis of the questionnaire General Self-Efficacy Scale (GSE).
Table 3. Recorded data analysis of the questionnaire General Self-Efficacy Scale (GSE).
Item Not at All True %Hardly True %Moderately True %Exactly True %MinimumMaximumMeanTotal
Value ± SD
1.I can always manage to solve difficult problems if I try hard enough1.523.538.236.8143.100.813
2.If someone opposes me, I can find the means and ways to get what I want.7.442.638.211.8142.540.800
3.It is easy for me to stick to my aims and accomplish my goals.4.432.441.222.1142.810.833
4.I am confident that I could deal efficiently with unexpected events.7.427.939.725.0142.820.897
5.Thanks to my resourcefulness, I know how to handle unforeseen situations2.932.448.516.2142.780.750
6.I can solve most problems if I invest the necessary effort.4.423.536.835.3143.030.880
7.I can remain calm when facing difficulties because I can rely on my coping abilities.11.839.727.920.6142.570.951
8.When I am confronted with a problem, I can usually find several solutions.2.927.945.623.5142.900.794
9.If I am in trouble, I can usually think of a solution0.023.544.132.4243.090.748
10.I can usually handle whatever comes my way.1.533.839.725.0142.880.802
Total α coefficient =28.520.826
Table 4. Evaluation of dental plaque index Quigley Hein and API before and after the intervention.
Table 4. Evaluation of dental plaque index Quigley Hein and API before and after the intervention.
NMinimumMaximumMeanSDp
Initial value of Quigley-Hein Index680.002.161.0890.5460.000 *
The final value of the Quigley-Hein Index680.002.160.7410.474
Initial value of API680.00100.0060.17827.6660.000 *
The final value of API6810.00100.0037.16116.207
* ANOVA test, correlation is significant at the 0.05 level.
Table 5. Assessment of healthy attitudes and behaviors before and after the intervention.
Table 5. Assessment of healthy attitudes and behaviors before and after the intervention.
VariablesInitial Value %Final Value %
Dental brushing frequency/day1 tooth brushing/day4.40.0
2 tooth brushing/day70.675.0
3 tooth brushing/day25.025.0
Type of toothbrushingmanual brushing86.886.8
electric brushing13.213.2
Use of dental flossno47.126.5
yes52.973.5
Table 6. Multiple regression analysis of predictors for HPLP II subcategories and demographic characteristics.
Table 6. Multiple regression analysis of predictors for HPLP II subcategories and demographic characteristics.
Unstandardized
Coefficients
Standardized
Coefficients
PredictorBSEBetat Valuep Value
Health responsibilityResidence(urban)0.0260.0180.1282.2560.005
Female gender0.0420.0120.0921.7230.032
Interpersonal relationshipsResidence(urban)0.0200.0100.1262.1980.019
Female gender−0.1320.013−0.1122.9260.023
NutritionResidence(urban)0.0440.0260.1351.1030.037
Female gender0.0520.0180.1821.8240.075
Physical activity Residence(urban)0.0100.0590.1052.2770.036
Female gender−0.1560.201−0.188−2.1030.028
Spiritual growth Residence(urban)0.0050.0020.1091.0990.030
Female gender−0.1520.055−0.133−1.9420.026
Stress managementResidence(urban)0.0520.0230.2112.1340.002
Female gender−0.1960.066−0.163−3.0230.001
Table 7. Correlations between GSES items and demographic characteristics.
Table 7. Correlations between GSES items and demographic characteristics.
GSES ItemResidenceGender
1.I can always manage to solve difficult problems if I try hard enough.−0.0200.191
2.If someone opposes me, I can find the means and ways to get what I want.0.1090.023 *
3.It is easy for me to stick to my aims and accomplish my goals.−0.1460.039 *
4.I am confident that I could deal efficiently with unexpected events.−0.144−0.011
5.Thanks to my resourcefulness, I know how to handle unforeseen situations.0.102−0.016
6.I can solve most problems if I invest the necessary effort.0.024 *0.014 *
7.I can remain calm when facing difficulties because I can rely on my coping abilities.0.114−0.103
8.When I am confronted with a problem, I can usually find several solutions.0.020 *0.087
9.If I am in trouble, I can usually think of a solution.−0.159−0.122
10.I can usually handle whatever comes my way.0.075−0.101
* Correlation is significant at the 0.05 level (2-tailed).
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MDPI and ACS Style

Armencia, A.O.; Feier, R.; Dănilă, V.; Budală, D.G.; Balcoș, C.; Baciu, D.; Prelipceanu, M.; Vicoveanu, D.I. Predictors of Oral Health Behaviors among Dental Students. Medicina 2023, 59, 106. https://doi.org/10.3390/medicina59010106

AMA Style

Armencia AO, Feier R, Dănilă V, Budală DG, Balcoș C, Baciu D, Prelipceanu M, Vicoveanu DI. Predictors of Oral Health Behaviors among Dental Students. Medicina. 2023; 59(1):106. https://doi.org/10.3390/medicina59010106

Chicago/Turabian Style

Armencia, Adina Oana, Ramona Feier, Vlad Dănilă, Dana Gabriela Budală, Carina Balcoș, Dana Baciu, Marius Prelipceanu, and Dragoș Ionuț Vicoveanu. 2023. "Predictors of Oral Health Behaviors among Dental Students" Medicina 59, no. 1: 106. https://doi.org/10.3390/medicina59010106

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