Abstract
Background and Objectives:
Pregnant women’s oral and dental hygiene is of great importance to maternal and neonatal health. This study aimed to predict dental caries preventive behaviors among pregnant women based on self-efficacy and the theory of planned behavior.Methods:
This cross-sectional descriptive-analytical study was conducted in 2016 on 258 pregnant women recruited from comprehensive healthcare centers in Birjand, Iran. Sampling was done via multistage random sampling. Data collection instrument was a researcher-made questionnaire developed based on self-efficacy and the theory of planned behavior. The content validity of the instrument was approved by 10 faculty members and its reliability was approved with a Cronbach’s alpha of 0.77. Pearson correlation analysis and multiple linear regression analysis were conducted via the SPSS software (v. 19.0) to analyze the data at a significance level of less than 0.05.Results:
The mean of participants’ age was 27.6 ± 5.1 and the mean of the decayed, missing, and filled teeth index was 5.4 ± 3.5. Regression analysis showed that self-efficacy and the constructs of the theory of planned behavior explained 47% of the total variance of the intention to show dental caries preventive behaviors. The strongest predictors of behavioral intention were self-efficacy (R2 = 0.34) and the subjective norm construct of the theory (R2 = 0.313).Conclusions:
Self-efficacy and subjective norm are the strongest predictors of dental caries preventive behaviors among pregnant women. The combination of self-efficacy and the theory of planned behavior can provide a useful framework for developing and implementing educational interventions for the prevention of dental caries among pregnant women and the promotion of maternal and neonatal health.Keywords
Theory of Planned Behavior Self-Efficacy Pregnant Women Oral and Dental Care
1. Background
Healthy mouth and teeth are among the factors behind humans’ general health, thus, some people consider the mouth as the full-length mirror of the body. Therefore, oral hygiene is one of the main components of general health, the consideration of which can prevent many diseases (1). The world health organization considers oral hygiene as a lifelong necessity and notes that poor oral hygiene and subsequent oral and dental problems considerably affect quality of life. Besides, oral and dental hygiene is related to some chronic conditions (such as diabetes mellitus and cardiovascular disease) and some indicators of psychological and mental health (such as body image) (2).
Despite the importance of oral and dental hygiene, oral and dental disorders are very common. For instance, dental caries is the most common infectious disease in developing countries such as Iran. Therefore, dental caries prevention is among the global health programs for chronic illness prevention and health promotion (1).
Although oral and dental disorders can threat all people, some are more vulnerable to them due to their physiological conditions (3). For instance, pregnancy-induced physiological changes such as increased mouth acidity, morning sickness, and gingivitis can put pregnant women at risk for dental disorders (1). The prevalence rates of periodontal disease and oral pyogenic granuloma in pregnancy are 35% - 100% and 0% - 9.6%, respectively. Moreover, during the pregnancy, the risks of having loose teeth as well as gingival crevicular fluid increase (4). Accordingly, dental hygiene is of great importance to pregnant women and their infants’ health due to the fact that dental bacteria caries can be transmitted from mothers to their infants (5). Moreover, periodontal disease in pregnancy can be directly associated with preterm delivery, low birth weight (6), preeclampsia, and neonatal hospitalization in intensive care units. Therefore, oral and dental health in pregnancy has been turned into one of the most important aspects of prenatal care (3). Through good oral and dental hygiene, pregnant women can effectively prevent periodontal disease (2). Yet, a study in Australia showed that more than 52% of pregnant women had not had a dental visit in their last pregnancy (7).
Studies show that the most effective educational interventions are those that are based on behavior modification theories such as the theory of planned behavior (TPB). TPB has been used more than other theories for healthy behavior promotion. This theory holds that the most important factor behind behavior is intention, which is in turn determined by 3 other TPB constructs, namely attitude, subjective norm, and perceived behavioral control (8). Another important requirement for behavioral modification is self-efficacy (9). Self-efficacy is defined as one’s belief in his/her ability to succeed in a behavior. It can improve competence in doing behaviors and prepare people for action (10-12).
An earlier study showed the effectiveness of TPB in predicting engagement in oral and dental health behaviors among pregnant women (1). However, to the best of our knowledge, none of the previous studies assessed the combined effects of TPB and self-efficacy on dental caries and gingivitis among Iranian pregnant women. This study was done to narrow this gap. The aim of the study was to predict dental caries preventive behaviors among pregnant women based on self-efficacy and TPB.
2. Methods
This cross-sectional descriptive-analytical study was conducted in 2016 on 258 pregnant women recruited from comprehensive healthcare centers in Birjand, Iran. The formula to determine sample size for estimating the mean was used for sample size calculation. Therefore, based on the results of an earlier study for the mean score of knowledge (1) and with a type I error of 0.05, a standard deviation of 2.05, and a d of 0.25, sample size was estimated to be 258. Sampling was done via multistage random sampling. Initially, Birjand city was divided into 4 hypothetical geographical areas, namely north, east, west, and south. Then, one healthcare center was randomly selected from each area and a random sample of women was recruited from each selected healthcare center through systematic random sampling and using available lists of pregnant women in that centers. The number of women selected from each center was proportionate to the total number of women who referred to that center. Eligibility criteria were Iranian nationality, no employment in healthcare fields, no high-risk pregnancy (i.e. no affliction by preeclampsia and gestational diabetes mellitus), basic literacy skills, and agreement for participation in the study. Selected women were informed about the study aim and were asked to provide written informed consent.
Data collection instrument was a researcher-made questionnaire developed based on self-efficacy and TPB. The questionnaire included 6 dimensions, namely attitude (16 items), subjective norm (11 items), perceived behavioral control (12 items), self-efficacy (9 items), intention (9 items), and behavior (12 items). The items of the first 4 dimensions were answered on a Likert-type scale from “Completely agree” (scored 5) to “Completely disagree” (scored 1). Negatively-worded items were scored reversely. Correct and wrong behaviors in the behavior dimension were also scored 1 and 0, respectively. The content validity of the questionnaire was approved by 10 faculty members who hold doctoral degrees in health education, epidemiology, and dentistry. Reliability assessment was also done via the internal consistency method, in which 20 women completed the questionnaire. The Cronbach’s alpha values of the questionnaire dimensions were as follows: attitude: 0.7, subjective norm: 0.77, perceived behavioral control: 0.73, intention: 0.86, and self-efficacy: 0.75. Moreover, the decayed, missing, and filled teeth (DMFT) index was used to determine the number of each woman’s decayed, missing, and filled teeth. The index was filled for participants by 2 midwives who had already received 1-week of DMFT assessment training from a dentist. They assessed DMFT using disposable mirror and sickle dental scaler in natural light.
Collected data were entered into the SPSS software (v. 19.) and described using the measures of descriptive statistics. The Kolmogorov-Smirnov test revealed the normality of all study variables. Therefore, Pearson correlation analysis and multiple linear regression analysis were used to analyze the data at a significance level of less than 0.05.
3. Results
In total, 258 pregnant women were studied. The mean of participants’ age was 27.6 ± 5.1 and the mean of DMFT index was 5.4 ± 3.5. Table 1 shows participants’ demographic characteristics.
Participants’ Demographic Characteristics
| Characteristics | Frequency | Percent |
|---|---|---|
| Age, years | ||
| Less than 24 | 78 | 30.2 |
| 25 - 34 | 148 | 57.3 |
| 35 and more | 32 | 12.5 |
| Educational status | ||
| Primary | 18 | 7 |
| Guidance school | 57 | 22.1 |
| Diploma | 104 | 40.3 |
| University | 79 | 30.6 |
| Income | ||
| Low | 37 | 14.3 |
| Moderate | 131 | 50.8 |
| High | 90 | 34.9 |
| Rank of pregnancy | ||
| First | 94 | 36.43 |
| Second | 88 | 34.1 |
| Third and more | 76 | 29.46 |
Correlation analyses showed that behavioral intention was significantly and directly correlated with attitude, subjective norm, perceived behavioral control, and self-efficacy (P < 0.01; Table 2). Moreover, the results of regression analysis illustrated that subjective norm, perceived behavioral control, and self-efficacy explained 47% of the total variance of behavioral intention. The strongest predictor of behavioral intention was self-efficacy (R2 = 0.34) followed by subjective norm (R2 = 0.313) and perceived behavioral control (R2 = 0.271) (Table 3).
Correlations Among Self-Efficacy and TPB Constructs
| Variables | Attitude | Subjective Norm | Perceived Behavioral Control | Self-Efficacy | Intention | Behavior |
|---|---|---|---|---|---|---|
| Attitude | ||||||
| Subjective norm | r = 0.325a | |||||
| Perceived behavioral control | r = 0.356a | r = 0.473a | ||||
| Self-efficacy | r = 0.325a | r = 0.506a | r = 0.478a | |||
| Intention | r = 0.316a | r = 0.560a | r = 0.521a | r = 0.583a | ||
| Behavior | r = 0.203b | r = 0.37a | r = 0.361a | r = 0.302a | r = 0.272b |
The Results of Multiple Linear Regressions for Predicting Behavioral Intention Based on Self-Efficacy and TPB Constructs
| Model | Beta | R2 | F | P Value |
|---|---|---|---|---|
| 1- Attitude | 0.316 | 0.1 | 28.4 | ≤ 0.001 |
| 2- Subjective norm | 0.56 | 0.313 | 116.85 | ≤ 0.001 |
| 3- Perceived behavioral control | 0.521 | 0.271 | 95.2 | ≤ 0.001 |
| 4- Self-efficacy | 0.583 | 0.340 | 132.08 | ≤ 0.001 |
| 5- Subjective norm and self-efficacy | 0.759 | 0.434 | 97.92 | ≤ 0.001 |
| 6- Subjective norm, self-efficacy, and perceived behavioral control | 0.843 | 0.471 | 75.3 | ≤ 0.001 |
4. Discussion
The aim of this study was to predict dental caries preventive behaviors among pregnant women based on self-efficacy and TPB. The constructs of TPB and self-efficacy explained 47% of the total variance of the intention to show dental caries preventive behaviors. This finding denotes that the combination of TPB and self-efficacy can be an appropriate model for the prediction of behavioral intention among pregnant women. In line with our finding, previous studies also showed that TPB significantly predicted behavioral intention by 61% (13), 61% (13), and 36% (14).
Study findings revealed self-efficacy as the strongest predictor of behavioral intention. By definition, self-efficacy is one’s belief in his/her ability to succeed in a behavior. It is a key requirement for behavioral modification (15, 16). Belief in one’s own ability to show a behavior improves competence in showing that behavior and prepares the individual for it (10, 17). An important method for promoting self-efficacy in dental caries preventive behaviors is to achieve mastery over showing the behaviors through repeated exercise. Self-efficacy is a significant factor behind behavioral modification due to the fact that individuals with the highest level of behavioral modification have high levels of self-efficacy (18).
Findings also indicated that self-efficacy explained 34% of the total variance of the intention to show dental caries preventive behaviors. Therefore, combining self-efficacy with TPB is necessary to improve the outcomes of TPB-based interventions because self-efficacy can link knowledge, behavior, and the belief in having the ability to show a behavior. The results of an earlier study also indicated that the constructs of TPB and self-efficacy explained respectively 35.6% and 23.4% of the total variance of behavioral intention (18). Contrarily, another study reported that self-efficacy was not a significant predictor of tooth-brushing behavior among students (19).
Beside self-efficacy, the 2 other strong predictors of behavioral intention were subjective norm and perceived behavioral control. These 2 factors respectively explained 0.313 and 0.271 of the total variance of behavioral intention. Subjective norm is affected by different factors such as parents, spouse, friends, midwives, physicians, and dentists. The most important sources of subjective norm reported by our participants were healthcare providers (36%), close friends (28%), spouse (20%), and dentist (16%). Previous studies reported subjective norm as the strongest predictor of cigarette smoking (20-22). Another study also showed that attitude and subjective norm were strong predictors of fast food consumption by female adolescent students (13, 22).
In the present study, the predictive power of subjective norm was greater than perceived behavioral control and attitude. Similarly, 2 earlier studies showed that the effects of subjective norm on tooth-brushing and flossing behaviors were greater than other factors (12, 20). However, other studies reported that subjective norm was not a significant predictor of behavior (14, 23). This contradiction can be attributed to the differences in the populations and the subject matters of the studies.
Our findings regarding perceived behavioral control were in line with the findings of previous studies (23, 24). Perceived behavioral control is one’s perception about his/her control over showing or not showing a given behavior. Study findings also showed that behavioral intention was significantly correlated with self-efficacy and all TPB constructs, namely attitude, subjective norm, and perceived behavioral control. The strongest correlations were related to self-efficacy and subjective norm. Previous studies also reported the same findings (13, 25).
4.1. Conclusion
This study indicated that the combined model of self-efficacy and TPB can significantly predict the intention of showing dental caries preventive behaviors. Therefore, this model can be used to promote oral and dental health among pregnant women and thereby, to improve maternal and neonatal health. A limitation of this study was the large number of the questionnaire items. Future studies are recommended to use more limited number of items for the assessment of self-efficacy and TPB constructs.
Acknowledgements
References
-
1.
Steinberg BJ, Hilton IV, Iida H, Samelson R. Oral health and dental care during pregnancy. Dent Clin North Am. 2013;57(2):195-210. [PubMed ID: 23570802]. https://doi.org/10.1016/j.cden.2013.01.002.
-
2.
Jeihooni AK, Jamshidi H, Kashfi SM, Avand A, Khiyali Z. The Effect of Health Education Program Based on Health Belief Model on Oral Health Behaviors in Pregnant Women of Fasa City, Fars Province, South of Iran. J Int Soc Prev Community Dent. 2017;7(6):336-43. [PubMed ID: 29387617]. https://doi.org/10.4103/jispcd.JISPCD_339_17.
-
3.
George A, Johnson M, Blinkhorn A, Ellis S, Bhole S, Ajwani S. Promoting oral health during pregnancy: current evidence and implications for Australian midwives. J Clin Nurs. 2010;19(23-24):3324-33. [PubMed ID: 20955483]. https://doi.org/10.1111/j.1365-2702.2010.03426.x.
-
4.
Kandan PM, Menaga V, Kumar RR. Oral health in pregnancy (guidelines to gynaecologists, general physicians and oral health care providers). J Pak Med Assoc. 2011;61(10):1009-14. [PubMed ID: 22356038].
-
5.
Gunay H, Dmoch-Bockhorn K, Gunay Y, Geurtsen W. Effect on caries experience of a long-term preventive program for mothers and children starting during pregnancy. Clin Oral Investig. 1998;2(3):137-42. [PubMed ID: 9927915]. https://doi.org/10.1007/s007840050059.
-
6.
Bakhtiar K, Gharouni K, Gharouni B, Alavijeh FZ, Almasian M, Bakhtiar M, et al. The effect of training interventions on the psychological factors of oral health in pregnant women. Electron Physician. 2017;9(10):5506-15. [PubMed ID: 29238491]. https://doi.org/10.19082/5506.
-
7.
Thomas NJ, Middleton PF, Crowther CA. Oral and dental health care practices in pregnant women in Australia: a postnatal survey. BMC Pregnancy Childbirth. 2008;8:13. [PubMed ID: 18426558]. https://doi.org/10.1186/1471-2393-8-13.
-
8.
Moshki M, Delshad Noghabi A, Darabi F, Safari Palangi H, Bahri N. The effect of educational programs based on the theory of planned behavior on parental supervision in students' television watching. Med J Islam Repub Iran. 2016;30:406. [PubMed ID: 27683647].
-
9.
Artino AJ. Academic self-efficacy: from educational theory to instructional practice. Perspect Med Educ. 2012;1(2):76-85. [PubMed ID: 23316462]. https://doi.org/10.1007/s40037-012-0012-5.
-
10.
Biglan A. A behavior-analytic critique of Bandura's self-efficacy theory. Behav Anal. 1987;10(1):1-15. [PubMed ID: 22477956]. https://doi.org/10.1007/BF03392402.
-
11.
Ekhtiari YS, Majlessi F, Foroushani AR, Shakibazadeh E. Effect of a Self-care Educational Program Based on the Health Belief Model on Reducing Low Birth Weight Among Pregnant Iranian Women. Int J Prev Med. 2014;5(1):76-82. [PubMed ID: 24554995].
-
12.
Vakani F, Sheerani M, Afzal A, Amin A. How does self-efficacy affect performance of learner? J Ayub Med Coll Abbottabad. 2012;24(1):109-10. [PubMed ID: 23855110].
-
13.
Seo HS, Lee SK, Nam S. Factors influencing fast food consumption behaviors of middle-school students in Seoul: an application of theory of planned behaviors. Nutr Res Pract. 2011;5(2):169-78. [PubMed ID: 21556232]. https://doi.org/10.4162/nrp.2011.5.2.169.
-
14.
Alizadeh M, Miri MR, Moasheri N, Ataei M, Moudi M. Evaluation of the predictive power of the theory of planned behavior on the intention of infertile couples to solve the problem of infertility. J Health Syst Res. 2016;13(2). Persian.
-
15.
Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191-215. [PubMed ID: 847061]. https://doi.org/10.1037/0033-295X.84.2.191.
-
16.
Wingo BC, Desmond RA, Brantley P, Appel L, Svetkey L, Stevens VJ, et al. Self-efficacy as a predictor of weight change and behavior change in the PREMIER trial. J Nutr Educ Behav. 2013;45(4):314-21. [PubMed ID: 23433966]. https://doi.org/10.1016/j.jneb.2012.12.004.
-
17.
Sharifirad G, Entezari MH, Kamran A, Azadbakht L. The effectiveness of nutritional education on the knowledge of diabetic patients using the health belief model. J Res Med Sci. 2009;14(1):1-6. [PubMed ID: 21772854].
-
18.
Ghahremani L, Nazari M. Comparing prediction power of exercise intention and behavior based on self-efficacy and theory of planned behavior. Payesh. 2013;12(1):99-107. Persian.
-
19.
Kasmaei P, Amin Shokravi F, Hidarnia A, Hajizadeh E, Atrkar-Roushan Z. Survey of predictive factors on brushing behavior according to the three main motivational constructs among female students of primary schools. J Guilan Univ Med Sci. 2014;23(91):16-22. Persian.
-
20.
Saber F, Shahnazi H, Sharifirad G. The survey of theory of planned behavior constructs regarding girl student's physical activity in Naein Pyame Noor University in 2012. Health System Res. 2013;9(9):1014-21. Persian.
-
21.
Wachowiak GS. Predicting flossing behaviors with the theory of planned behavior and message interventions. Northern Illinois University; 2010.
-
22.
Araban M, Karimy M, Taher M, Baiati S, Bakhtiari A, Abrehdari H. Predictors of tobacco use among medical students of Ahvaz University: A study based on theory of planned behavior. J Educ Community Health. 2015;2(1):10-8. Persian.
-
23.
Nourani Saadodin S, Goudarzi M, Peyman N, Esmaily H. Prediction of intrauterine device insertion among women of childbearing age based on the theory of planned behavior. Iran J Obstet Gynecol Infertil. 2013;16(45):13-9. Persian.
-
24.
Hatefnia E, Niknami S. Survey of Factors affecting to predict mammography in employed women aged 35 years and older based on the Theory of planned behavior. J Health Res Syst. 2013;9(10):1062-70. Persian.
-
25.
Ebrahimipour H, Mohamadzadeh M, Niknami S, Ismaili H, Vafaei NA. Predictors of oral health care in pregnant women based on theory of planned behavior. Health Syst Res. 2015;11(3):496-504. Persian.