CC BY-NC-ND 4.0 · European Journal of General Dentistry 2018; 7(01): 7-13
DOI: 10.4103/ejgd.ejgd_85_17
Original Article

Self-reported differences in oral health attitudes and behaviors of health-care students at a University in Malaysia

Jia Ven Ng
Department of Oral Diagnosis, School of Dental Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
,
Tahir Yusuf Noorani
1   Department of Conservative Dentistry, Conservative Dentistry Unit, School of Dental Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
,
Nik Rozainah Nik Abdul Ghani
1   Department of Conservative Dentistry, Conservative Dentistry Unit, School of Dental Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
,
Imran Alam Moheet
Department of Oral Diagnosis, School of Dental Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
› Author Affiliations

Abstract

Background: Oral health is a vital part of general health. An individual’s perception on oral health is reflected by their oral health attitudes and behaviors. Aim: To determine and compare the oral health attitudes and behaviors of dental, medical, and nursing students at Universiti Sains Malaysia (USM). Methods: A modified version of Hiroshima University– Dental Behavioural Inventory (HU-DBI)-based questionnaire consisting of 20 items was distributed to all health-care students (n = 1166) of USM. HU-DBI score was calculated using responses to 12 HU-DBI items in the questionnaire. HU-DBI scores of the three groups were compared using one-way ANOVA complemented by Bonferroni test. Scores among preclinical and clinical levels were compared using independent t-test. Chi-square test was used to evaluate the differences in distribution of all items in the HU-DBI survey. Results: Dental students had the highest mean HU-DBI score (7.79 ± 1.58), followed by their nursing (6.99 ± 1.46) and medical (6.42 ± 1.58) counterparts. The mean HU-DBI score for all clinical students (7.04 ± 1.75) was significantly higher than those in their preclinical years (6.64 ± 1.56). Among the 12 HU-DBI items that were used to calculate the HU-DBI scores, items 2, 6, 8, 9, 10, 15, 16 and 19 show significant difference between the distributions of responses within the 3 groups (P < 0.05). Conclusion: Dental students demonstrated better oral health attitudes. However, all our future health-care provider needs to have better attitudes toward oral health. Hence, comprehensive oral health awareness programs need to be incorporated to all health-care students throughout their study programs.


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Introduction

Oral health is a vital part of general health and hence affects the total well-being. The individual’s perception on oral health is reflected by their oral health attitudes and behaviors.[[1]] Dental students, who will be our future dental care providers, are expected to have good attitude and behavior toward their own oral health.[[2]],[[3]] Furthermore, as dentists, they will be role models for their patients, friends, and family members.

The oral health conditions of the population are expected to be better when the dentists themselves are motivated.[[4]],[[5]],[[6]] In addition, the quality of oral health-care services provided is greatly affected by the attitude and behavior of the provider toward his or her own oral health.[[7]] Research on dental students in various parts of the world has shown that level of clinical training also had an impact on the student’s attitude and behavior toward oral health. Furthermore, students from different countries, ethnic origin, and course of study demonstrated differences in their attitudes and behavior as well.[[8]],[[9]],[[10]]

Most studies evaluating the oral health attitudes and behaviors, conducted in different parts of the world mainly focused on dental students.[[2]],[[3]],[[6]],[[8]],[[11]],[[12]],[[13]] Even though some studies also compared the attitudes and behavior of dental students and students studying pharmacy,[[14]] medicine,[[5]] paramedical sciences,[[5]] and other professional courses [[10]] in various parts of the world. To the best of our knowledge, there was insufficient data about the oral health attitudes of dental, medical, and nursing students from this region of Malaysia.

Besides, dental students, students from the allied health streams are also supposed to have better oral health knowledge and behavior.[[15]] It is well known that poor oral and periodontal health can lead to or worsen various medical conditions, such as diabetes mellitus, respiratory disorders, cardiovascular disease, and other systemic disorders.[[16]] Thus, by determining the oral health attitudes and behavior of various health-care students, effective steps can be undertaken to improve or instil positive oral health attitudes and behavior in all our future health-care providers. Thus, the aim of this study was to determine and compare the oral health attitudes and behaviors of dental, medical, and nursing students at Universiti Sains Malaysia (USM) Health Campus, Kelantan, Malaysia.


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Methods

The study was conducted at USM Health Campus. It was a cross-sectional survey involving all students from dental, medical, and nursing schools that were attending the university during the study. Ethical approval for carrying out the study was obtained from the Human Research Ethics Committee USM (Ref.USM/JEPeM/16030106). A modified bilingual (English and Bahasa Melayu) version of Hiroshima University– Dental Behavioral Inventory (HU-DBI) questionnaire [Annexure 1] [SUPPORTING:1] was distributed to 1166 students in dental, medical, and nursing schools. Participation was voluntary, and no personal information was recorded. Demographic data such as gender, age, race, and school were collected. Questionnaires that were unfilled or partly filled were excluded from the study.

HU-DBI score was calculated using responses to 12 HU-DBI items in the questionnaire [[Table 1]]. Items 4, 9, 11, 12, 16, and 19 with agree responses were given a point, whereas, items 2, 6, 8, 10, 14, and 15 with disagree responses were given a point. Maximum HU-DBI score that could be achieved was 12 while these 12 items appear to be directly related to the oral health behavior, the remaining 8 statements were not included in the analysis as they reflect general oral health-related attitude [[Table 1]].

Table 1:

Items in Hiroshima University-Dental Behavioural Inventory Questionnaire (correct answer, agree [A], disagree [D])

1. I don't worry about visiting the dentist

2. My gums tend to bleed when I brush my teeth (D)

3. I worry about the colour of my teeth

4. I have noticed some white sticky deposits on my teeth (A)

5. I use a child-sized toothbrush

6. I think that I cannot help having false teeth when I am old (D)

7. I am bothered by the colour of my gums

8. I think my teeth are getting worse despite my daily brushing (D)

9. I brush each of my teeth carefully (A)

10. I have never been taught professionally how to brush (D)

11. I think I can clean my teeth well without using toothpaste (A)

12. I often check my teeth in a mirror after brushing (A)

13. I worry about having bad breath

14. It is impossible to prevent gum disease with tooth brushing alone (D)

15. I put off going to the dentist until I have toothache (D)

16. I have used a dye to see how clean my teeth are (A)

17. I use a toothbrush which has hard bristles

18. I don't feel I've brushed well unless with strong strokes

19. I feel I sometimes take too much time to brush my teeth (A)

20. I have had my dentist tell me that I brush very well

Statistical analysis

HU-DBI scores of students from three schools were compared using one way ANOVA complemented by Bonferroni test whereas comparison of HU-DBI scores of students based on their clinical level was carried out using independent t-test. Chi-square test was carried out to evaluate the differences in distribution of all items in the HU-DBI survey by school and clinical level. Statistical significance level was set at P < 0.05.


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Results

Out of 1166 students, 1053 students participated in this study (90.3% response rate). Medical school students consisted of 62.3% of the respondents while students from the dental and nursing schools were 24.0% and 13.7%, respectively. Out of all the respondents, 553 were in their preclinical years (52.5%) whereas 500 students belonged to clinical years (47.5%).

[[Table 2]] and [[Table 3]] summarize the comparison of HU-DBI scores between students based on their schools and clinical levels. Dental students had the highest mean HU-DBI score (7.79 ± 1.58) when compared to their nursing (6.99 ± 1.46) and medical (6.42 ± 1.58) counterparts. Mean scores of students from each school were significantly different from the other as summarized in [[Table 4]]. The mean HU-DBI score for clinical students from all 3 schools (7.04 ± 1.75) was significantly higher than those in their preclinical years (6.64 ± 1.56). Comparison of HU-DBI scores between preclinical students from the three schools using the post hoc Bonferroni test depicts a significant difference in HU-DBI score of preclinical medical students as compared to dental and nursing students (P ≤ 0.05) whereas there are no significant differences in HU-DBI score between nursing and dental preclinical students (P > 0.05). On the other hand, clinical dental students had a significantly higher mean HU-DBI score when compared to their medical and nursing counterparts (P ≤ 0.05). However, the mean HU-DBI scores of medical and nursing clinical students were not significantly different from each other (P > 0.05). These results are tabulated in [[Table 5]] and [[Table 6]].

Table 2:

Post hoc Bonferroni test comparing Hiroshima University-Dental Behavioural Inventory scores of all students from medical, dental and nursing schools

Course (I)

Course (J)

Mean difference (I-J)

SE

P

95%, CI

Lower bound

Upper bound

Medical

Dental

–1.373[*]

0.116

<0.001[*]

-1.65

-1.09

Nursing

–0.575[*]

0.144

<0.001[*]

-0.92

-0.23

Dental

Nursing

0.797[*]

0.164

<0.001[*]

0.40

1.19

* Statistically significant (P < 0.05). SE – Standard error, CI – Confidence interval


Table 3:

Independent t-test comparing the mean Hiroshima University-Dental Behavioural Inventory scores of participants based on their clinical years

Clinical level

HU-DBI score

Mean±SD

Mean difference (95% CI)

t statistics (df)

P

Preclinical

6.64±1.563

–0.399 (−0.600–0.199)

–3.904 (1051)

<0.001[*]

Clinical

7.04±1.758

* Statistically significant (P < 0.05). SD – Standard deviation, HU-DBI – Hiroshima University-Dental Behavioural Inventory


Table 4:

Results of one-way ANOVA test comparing the mean Hiroshima University-Dental Behavioural Inventory scores of participants from all three schools

School

Mean±SD

F

P

Medical

6.42±1.58

70.90

<0.001[*]

Dental

7.79±1.58

Nursing

6.99±1.46

* Statistically significant (P < 0.05). SD – Standard deviation


Table 5:

Post hoc Bonferroni test comparing Hiroshima University-Dental Behavioural Inventory scores of preclinical students from medical, dental and nursing schools

School (I)

School (J)

Mean difference (I–J)

SE

P

95% CI

Lower bound

Upper bound

Medical

Dental

–0.651[*]

0.175

0.001[*]

–1.07

–0.23

Nursing

–0.646[*]

0.191

0.002[*]

–1.10

–0.19

Dental

Nursing

0.006

0.234

1.000

–0.56

0.57

* Statistically significant (P < 0.05). SE – Standard error, CI – Confidence interval


Table 6:

Post hoc Bonferroni test comparing Hiroshima University-Dental Behavioural Inventory scores of clinical students from medical, dental and nursing school

School (I)

School (J)

Mean difference (I–J)

SE

P

95% CI

Lower bound

Upper bound

Medical

Dental

–1.831[*]

0.156

<0.001[*]

–2.21

–1.46

Nursing

–0.495

0.213

0.062

–1.01

0.02

Dental

Nursing

1.337[*]

0.229

<0.001[*]

0.79

1.89

* Statistically significant (P < 0.05). SE – Standard error, CI – Confidence interval


The percentage and analysis of yes/no response to HU-DBI items are listed according to schools as shown in [[Table 7]] and according to clinical levels as shown in [[Table 8]]. Among the 12 HU-DBI items that were used to calculate the HU-DBI scores, items number 2,6,8,9,10,15,16, and 19 shows a significant difference between the distributions of responses for the three schools (P ≤ 0.05). As for the distributions of responses between preclinical and clinical group, a significant difference (P ≤ 0.05) was seen for items number 2, 4, 8, 11, 15, and 16.

Table 7:

Percentage and analysis of yes-no responses according to schools (n = 1053)

Item number

HU-DBI

Medical, n (%)

Dental, n (%)

Nursing, n (%)

P

1

Agree

514 (78.3)#

220 (86.9)

115 (79.8)

0.013

Disagree

142 (21.7)

33 (13.1)

29 (20.2)

2

Agree

183 (27.8)#

37 (14.6)s

37 (25.6)

<0.001

Disagree

473 (72.2)

216 (85.4)

107 (74.4)

3

Agree

469 (71.5)#

150 (59.2)s

119 (82.6)##

<0.001

Disagree

187 (28.5)

103 (40.8)

25 (17.4)

4

Agree

310 (47.2)

119 (47.0)

74 (51.3)

0.644

Disagree

346 (52.8)

134 (53.0)

70 (48.7)

5

Agree

44 (6.7)

8 (3.1)

9 (6.2)

0.118

Disagree

612 (93.3)

245 (96.9)

135 (93.8)

6

Agree

230 (35.0)#

55 (21.7)s

47 (32.6)

<0.001

Disagree

426 (65.0)

198 (78.3)

97 (67.4)

7

Agree

223 (33.9)#

59 (23.3)

43 (29.8)

0.007

Disagree

433 (66.1)

194 (76.7)

101 (70.2)

8

Agree

150 (22.8)#

20 (7.9)$

32 (22.2)

<0.001

Disagree

506 (77.2)

233 (92.1)

112 (77.8)

9

Agree

507 (77.2)#

227 (89.7)

124 (86.2)##

<0.001

Disagree

149 (22.8)

26 (10.3)

20 (13.8)

10

Agree

145 (22.1)#

16 (6.3)s

20 (13.8)##

<0.001

Disagree

511 (77.9)

237 (93.7)

124 (86.2)

11

Agree

74 (11.2)

18 (7.1)

11 (7.6)

0.108

Disagree

582 (88.8)

235 (92.9)

133 (92.4)

12

Agree

517 (78.8)

213 (84.1)

123 (85.4)

0.063

Disagree

139 (21.2)

40 (15.9)

21 (14.6)

13

Agree

520 (79.2)

211 (83.3)

123 (85.4)

0.131

Disagree

136 (20.8)

42 (16.7)

21 (14.6)

14

Agree

482 (73.4)

179 (70.7)

111 (77.0)

0.386

Disagree

174 (26.6)

74 (29.3)

33 (23.0)

15

Agree

358 (54.5)#

43 (16.9)s

66 (45.8)

<0.001

Disagree

298 (45.5)

210 (83.1)

78 (54.2)

16

Agree

110 (16.7)#

115 (45.4)s

31 (21.5)

<0.001

Disagree

546 (83.3)

138 (54.5)

113 (78.5)

17

Agree

117 (17.8)#

6 (2.3)$

24 (16.6)

<0.001

Disagree

539 (82.2)

247 (97.7)

120 (83.4)

18

Agree

257 (39.1)#

26 (10.2)'

51 (35.4)

<0.001

Disagree

399 (60.9)

227 (89.8)

93 (64.6)

19

Agree

280 (42.6)

100 (39.5)s

88 (61.1)##

<0.001

Disagree

376 (57.4)

153 (60.5)

56 (38.9)

20

Agree

283 (43.1)#

162 (64.0)

90 (62.5)##

<0.001

Disagree

373 (56.9)

91 (36.0)

54 (37.5)

Pearson Chi-square test was done to compare responses between medical and dental, medical and nursing and dental and nursing. ##Statistically significant difference with medical school (P < 0.05), #Statistically significant difference with dental school (P < 0.05), 'Statistically significant difference with nursing school (P < 0.05). HU-DBI – Hiroshima University-Dental Behavioural Inventory


Table 8:

Percentage and analysis of yes-no responses according to clinical levels (n = 1053)

Item number

HU-DBI

Preclinical, n (%)

Clinical, n (%)

P

1

Agree

451 (81.5)

398 (79.6)

0.423

Disagree

102 (18.5)

102 (20.4)

2

Agree

121 (21.8)

136 (27.2)

0.045*

Disagree

432 (78.2)

364 (72.8)

3

Agree

402 (72.6)

336 (67.2)

0.052

Disagree

151 (27.4)

164 (32.8)

4

Agree

239 (43.2)

264 (52.8)

0.002*

Disagree

314 (56.8)

236 (47.2)

5

Agree

22 (3.9)

39 (7.8)

0.008*

Disagree

531 (96.1)

461 (92.2)

6

Agree

169 (30.5)

163 (32.6)

0.477

Disagree

384 (69.5)

337 (67.4)

7

Agree

162 (29.2)

163 (32.6)

0.246

Disagree

391 (70.8)

337 (67.4)

8

Agree

87 (15.7)

115 (23.0)

0.003*

Disagree

466 (84.3)

385 (77.0)

9

Agree

444 (80.2)

414 (82.8)

0.295

Disagree

109 (19.8)

86 (17.2)

10

Agree

96 (17.3)

85 (17.0)

0.877

Disagree

457 (82.7)

415 (83.0)

11

Agree

37 (6.6)

66 (13.2)

<0.001*

Disagree

516 (93.4)

434 (86.8)

12

Agree

460 (83.1)

393 (78.6)

0.058

Disagree

93 (16.9)

107 (21.4)

13

Agree

442 (79.9)

412 (82.4)

0.306

Disagree

111 (20.1)

88 (17.6)

14

Agree

413 (74.6)

359 (71.8)

0.291

Disagree

140 (25.4)

141 (28.2)

15

Agree

279 (50.4)

188 (37.6)

<0.001*

Disagree

274 (49.6)

312 (62.4)

16

Agree

69 (12.4)

187 (37.4)

<0.001*

Disagree

484 (87.6)

313 (62.6)

17

Agree

73 (13.2)

74 (14.8)

0.455

Disagree

480 (86.8)

426 (85.2)

18

Agree

196 (35.4)

138 (27.6)

0.006*

Disagree

357 (64.6)

362 (72.4)

19

Agree

251 (45.3)

217 (43.4)

0.517

Disagree

302 (54.7)

283 (56.6)

20

Agree

258 (46.6)

277 (55.4)

0.005*

Disagree

295 (53.4)

223 (44.6)

Pearson Chi-square test was done. *P < 0.05, statistically significant. HU-DBI - Hiroshima University-Dental Behavioural Inventory



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Discussion

HU-DBI scores of individuals are directly related to their oral health behavior and attitude.[[8]] Higher scores can be associated with better oral health-related attitude and behavior. The mean HU-DBI scores of dental, medical, and nursing students from USM were higher as compared to students from respective schools in the previous studies with mean scores ranging from 4.74–7.33.[[6]],[[12]],[[13]],[[14]],[[17]],[[18]] However, within the three schools, dental students were the best in terms of mean HU-DBI score as compared to their medical and nursing counterparts. Similarly, other studies have also shown that dental students demonstrate higher mean HU-DBI scores than students from other schools.[[5]],[[10]],[[14]] This is most likely attributed to the wide range of preventive dentistry and periodontics lectures given to dental students during their studies. Furthermore, clinical students in this study reported a better dental health attitude and behavior as compared to preclinical students. Various studies have proposed that the students’ personal dental health attitude and behavior are related intimately with their academic progression.[[2]],[[19]],[[20]]

In general, most of the students from all three schools in USM are not worried about visiting the dentist. These results are similar to students from India and China.[[6]],[[13]] Despite that, it is notable that majority of dental students in this study reported that they regularly visit the dentist as compared to their medical and nursing counterparts, where only 45%–55% reported regular dental visit. This is consistent with a study conducted on dental students in Croatia.[[12]] Dental students have more exposure to the dental clinics and dentists in general as compared to their medical and nursing counterparts, thus experiencing less treatment anxiety. A study conducted in Israel found that treatment anxiety is one of the main factors of delayed dental visits until symptoms arise and could also be the reason for the delayed visits by medical and nursing students.[[21]]

Surprisingly, fewer dental students are worried about the color of their teeth as compared to their medical and nursing counterparts. This depicts that medical and nursing students demonstrate a behavior which is similar to the general population, wherein the presence of symptoms and/or concern for esthetics drive their dental behavior.[[22]] However, dental students are well versed with the agents used in tooth whitening (bleaching) and understand the risks and benefits associated with various esthetic treatments. Furthermore, clinical students are also less worried about the color of their teeth as is reported in some studies.[[19]],[[23]] In addition, in this study, plaque deposits on their teeth were noticed by significantly more number of clinical students than their preclinical counterparts. As expected, clinical students have a higher awareness toward the microbial dental plaque due to their education and clinical training experiences. This result was in contrast to a study in Turkey,[[18]] where the clinical students fared worse than preclinical students. However, there may have been a misinterpretation that this question was about cleanliness of teeth rather than the awareness of plaque.

Regarding tooth brushing techniques, significantly higher number of dental and nursing students reported that they brush each of their teeth carefully as compared to the medical students. Likewise, almost all (93.7%) dental students agreed that the correct brushing technique has been professionally taught to them, which is significantly higher than students from the other two schools. Other studies have also observed similar results.[[12]],[[17]] Moreover, when compared to dental students, significantly higher numbers of medical and nursing students use a hard bristled toothbrush. This is in accordance to the study done in China and Kingdom of Saudi Arabia.[[14]],[[24]] Again, this result can be attributed to dental health education, particularly the periodontology and dental public health subjects which emphasize on toothbrush selection and tooth brushing techniques for good oral hygiene.

Strength and limitations

The strength of this study includes the large sample size of health-care students and the rigor of survey and questions which addresses in breadth various aspects of oral health attitudes and behavior.

There are several limitations in this study. First, because this is a cross-sectional study, any changes in HU-DBI scores cannot be attributed entirely toward the curricular level. Furthermore, dental students are well versed with the correct dental health behaviors and attitudes. Therefore, a bias may occur as these dental students may not practice these behaviors in real life yet answer the questions correctly.


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Implications for practice

The oral health of a patient is closely linked to their general health. Evidence suggests that diabetes mellitus and periodontal disease have an adverse bidirectional interrelationship.[[16]] Furthermore, dental plaque can also serve as a reservoir of infection in hospital inpatients.[[25]] These are among a few examples that highlight the importance of oral health status relating to general health. This study shows that medical and nursing students did not demonstrate good attitude and behavior toward their oral health. Therefore, there needs to be an improvement in the oral health awareness for the medical and nursing schools. It is crucial that these students improve their own awareness and thus can provide comprehensive health-care services to their patients in the future. Furthermore, when our future health-care providers are aware of the oral health-related problems and its effects on the general health, they will refer patients to dentists in an appropriate and timely manner.

Further studies can be implemented on the same students to properly determine the impact of increased educational experience by correlating their dental health attitudes and behaviors with their actual oral health status. In addition, further studies emphasizing on gender and cultural differences of students in Malaysia regarding dental health attitudes and behaviors can also be carried out.


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#

Conclusion

Dental students demonstrated better oral health attitudes as compared to their medical and nursing counterparts, which indicate the positive impact of dental health education on these students. It is well known that oral health is closely related to general health, thus, when our future health-care providers are aware of the effects of oral health-related problems on general health, they will refer patients to dentists in an appropriate and timely manner. Hence, comprehensive oral health awareness programs need to be incorporated to all health-care students starting from their preclinical years to improve the oral health attitudes of all our future health-care providers.


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Annexure 1: A modified bilingual (English and Bahasa Melayu) version of Hiroshima University – Dental Behavioral Inventory (HU-DBI) questionnaire
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Hiroshima University-Dental Behavioral Inventory Inventori Tingkah Laku Pergigian Universiti Hiroshima

Statement/ Penyata

Agree Setuju

Disagree Tidak Setuju

1

I don't worry about visiting the dentist

Saya tidak bimbang untuk berjumpa doktor gigi

Agree Setuju

Disagree Tidak Setuju

2

My gums bleed when I brush my teeth

Gusi saya berdarah apabila saya memberus gigi

Agree Setuju

Disagree Tidak Setuju

3

I worry about the color of my teeth Saya risau tentang warna gigi saya

Agree Setuju

Disagree Tidak Setuju

4

I have noticed some white sticky deposits on my teeth

Saya telah menjumpai beberapa deposit putih melekat pada gigi saya

Agree Setuju

Disagree Tidak Setuju

5

I use a child-sized toothbrush

Saya mengguna berus gigi saiz kanak-kanak

Agree Setuju

Disagree Tidak Setuju

6

I think I cannot help having false teeth when I am old

Saya berasa tidak dapat mengelakkan diri daripada memakai gigi palsu

apabila saya berumur

Agree Setuju

Disagree Tidak Setuju

7

I am bothered by the color of my gums

Saya berasa terganggu dengan warna gusi saya

Agree Setuju

Disagree Tidak Setuju

8

I think my teeth are getting worse despite my daily brushing

Saya berasa gigi saya menjadi semakin teruk walaupun memberus gigi

setiap hari.

Agree Setuju

Disagree Tidak Setuju

9

I brush each of my teeth carefully Saya memberus setiap gigi dengan teliti

Agree Setuju

Disagree Tidak Setuju

10

I have never been taught professionally how to brush

Saya tidak pernah diajar cara memberus gigi secara profesional

Agree Setuju

Disagree Tidak Setuju

11

I think I can clean my teeth well without using toothpaste

Saya berasa bahawa saya boleh membersihkan gigi dengan baik tanpa

menggunakan ubat gigi

Agree Setuju

Disagree Tidak Setuju

12

I often check my teeth in a mirror after brushing

Saya selalu memeriksa gigi dengan cermin selepas memberus gigi

Agree Setuju

Disagree Tidak Setuju

13

I worry about having bad breath

Saya berasa bimbang tentang nafas berbau

Agree Setuju

Disagree Tidak Setuju

14

It is impossible to prevent gum disease with toothbrushing alone

Ia adalah mustahil untuk mencegah penyakit gusi dengan memberus gigi

sahaja

Agree Setuju

Disagree Tidak Setuju

15

I put off going to a dentist until I have a toothache

Saya melengahkan perjumpaan dengan doktor gigi sehingga saya

mengalami sakit gigi

Agree Setuju

Disagree Tidak Setuju

16

I have used a dye to see how clean my teeth are

Saya pernah mengguna pewarna untuk lihat kebersihan gigi saya

Agree Setuju

Disagree Tidak Setuju

17

I use a toothbrush with hard bristles

Saya menggunakan berus gigi berbulu keras

Agree Setuju

Disagree Tidak Setuju

18

I don't feel I have brushed unless I brush with strong strokes Saya tidak berasa bahawa saya telah memberus gigi sehingga saya memberus dengan gerakan memberus yang kuat

Agree Setuju

Disagree Tidak Setuju

19

I feel I sometimes take too much time to brush my teeth

Saya berasa bahawa kadang kala saya mengambil masa yang terlalu

panj ang untuk memberus gigi

Agree Setuju

Disagree Tidak Setuju

20

I have had my dentist tell me that I brush very well

Doktor gigi pernah memberitahu saya bahawa saya memberus gigi

dengan baik

Agree Setuju

Disagree Tidak Setuju


#

Conflict of Interest

There are no conflicts of interest.

Financial support and sponsorship

Nil.


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Address for correspondence

Dr. Tahir Yusuf Noorani
Conservative Dentistry Unit, School of Dental Sciences, Universiti Sains Malaysia
16150 Kubang Kerian, Kelantan
Malaysia   

Publication History

Article published online:
01 November 2021

© 2018. European Journal of General Dentistry. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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