1http://dx.doi.org/10.20396/bjos.v19i0.8658127

Volume 19
2020
e208127

Original Article

1 School of dentistry, Yasuj 
University of Medical Sciences, Iran.

2 Social Determinants of Health 
Research Center, Yasuj University 
of Medical Sciences, Iran. 
(*Corresponding author)

3 Department of Operative Dentistry, 
School of Dentistry, Yasuj University 
of Medical Sciences, Iran.

*Corresponding author: 
Mohammad Malekzadeh 
Social Determinants of Health 
research center, Yasuj University of 
Medical Sciences, Iran 
Email: mzh541@yahoo.com 
Mobile number: 00989171454340

Received: January 18, 2020

Accepted: July 12, 2020

Dental anxiety and the 
effectiveness of local 
anesthesia
Hadi Esmaeili1 , Mohammad Malekzadeh2,* , 
Davood Esmaeili1 , Farid Nikeghbal3

Aim:  The successful anesthesia is an essential factor for 
dental treatment. This study aimed at determining the 
effectiveness of local anesthesia and it’s relationship with 
dental Anxiety. Methods:  This cross-sectional study was 
carried out on 256 dental patients, in Gachsaran, Iran in 2017. 
Dental Anesthesia was administered after completing the 
Modified Dental Anxiety Scale by the patients. The level of 
anesthesia was recorded in one of three states (successful, 
difficult, and failed). Collected data was analyzed using 
SPSS version 22 and tests of, Chi-square, independent 
t-test, analysis of variance, and logistic regression model.   
Results:  About 60.5% subjects had moderate-severe dental 
anxiety. The mean of dental anxiety significantly was lower 
in the successful anesthesia group (P<0.01). Patients with 
elementary education had a significantly higher level of dental 
anxiety (P<0.01). Dental anxiety was significantly higher in the 
age group of ≥59 years, compared to the other age groups, 
except for 49-58 years (P<0.05). Subjects with a significantly 
higher level of dental anxiety more delayed their visits to 
the dentist. The logistic regression model showed that the 
dental anxiety (high anxiety) and literacy level (elementary) 
were the most important predictors of failed or difficult 
anesthesia.  Conclusion:  Informing patients about dental 
treatment procedures, regular and periodic visits to the 
dentist, using psychotherapeutic techniques to reduce dental 
anxiety before anesthesia, could play an important role in the 
success of anesthesia.

Keywords: Anesthesia, local Dental anxiety, Pain.

https://orcid.org/0000-0003-3400-263X
https://orcid.org/0000-0002-0451-0097
https://orcid.org/0000-0001-9493-5904
https://orcid.org/0000-0001-9147-8744


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Esmaeili et al.

Introduction

Dental anxiety is a patients’ response to stress in a dental setting1. Medical proce-
dures cause a feeling of fear, inability, as well as anxiety2. It can be provoked due 
to multiple factors, such as previous negative or traumatic experience, sensory trig-
gers such as sights of needles and air-turbine drills, sounds of drilling and screaming, 
vicarious learning from anxious people, patients’ personality characteristics and their 
coping strategies3-8.

Several studies have reported high dental anxiety levels in approximately 10–20% of 
participants9,10. 

Pain perception during the administration of local anesthetics is an essential reason 
for anxiety, and it may be caused by tissue puncture, pressure and velocity of fluid 
injection, the temperature of the anesthetic, and operator’s skills11.

This problem can affect various treatment stages and complicate the situation for 
patients and dentists12.

Pain seems to be multifactorial and is influenced by psychological factors such as cat-
astrophizing and anxiety13,14. People with a high score on pain catastrophizing reported 
more severe pain and anxiety, and they consume more analgesic medication15-17.

Anxious patients experience more negative and irrational thoughts related to dental 
treatment. They usually consider the worst-case scenario in their treatment. Avoiding 
dental treatment due to dental anxiety is related to more missing and decayed teeth18.

Poor oral and dental health can lead to dental diseases, which reduces the patients’ 
quality of life and creates a vicious cycle, where patient’s anxiety level increases and 
their health level decreases19,20.

One of the most important factors in patient satisfaction is pain control techniques.  
Canakci has stated that Measuring pain is difficult because it has physical and psy-
chological aspects. It is subjective and depends on the patient’s perception21.

Local anesthesia has enabled the profession to make tremendous therapeutic 
advances. Patients experience severe pain in case of failed anesthesia, which pre-
vents many dental treatments, including root canal surgery, periodontal surgery, and 
tooth extraction22. Although dental anesthesia is an essential aspect of treatment 
for patients, an injection can induce anxiety or fear and maybe a reason for patients 
to avoid dental treatment23. Patients with high levels of anxiety usually exhibit lower 
pain thresholds24, and therefore, there is a decreased anesthesia success rate among 
these patients, and complementary methods are required in this regard. Notably, den-
tists’ efforts and motivation to prevent pain in patients play an essential role in keep-
ing them calm and relax25.

Dental anxiety can affect a patient’s life. Physiological effects include signs and symp-
toms of fear and fatigue appears after a dentist’s appointment, whereas cognitive 
impacts are a set of negative beliefs and thoughts. Behavioral results show itself as 
eating, lack of oral hygiene, self-treatment, and aggression. Moreover, dental anxiety 
can have adverse effects on general health due to its association with sleeping disor-

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4790493/#b10-ccide-8-035


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Esmaeili et al.

ders. Furthermore, the social interactions and performance of these individuals at the 
workplace may decrease due to a lack of self-esteem and self-confidence26. 

Medical evidence shows a strong relationship between oral and general health. Peri-
odontal diseases and systemic diseases have a bidirectional relationship, and there 
are more than 100 systematic diseases with oral manifestations, such as cardiovas-
cular diseases, stroke, respiratory infections (e.g., aspiration pneumonia), pancreas 
cancer, diabetes, and nutritional problems. Therefore, it can be stated that the treat-
ment of oral diseases plays a vital role in the general health27,28. Given the importance 
of successful anesthesia for dental care treatments, recognition, and control of fac-
tors involved in its effectiveness can help increase the possibility of successful anes-
thesia.

This study differs from other studies in two ways. In most studies, patients ‘anxi-
ety levels were measured at the end of treatment. In contrast, in the present study, 
patients’ anxiety was measured before starting treatment, indicating dental anxiety 
related to the patient’s previous experiences. 

Besides, most studies have measured patients’ pain at the end of treatment with 
methods such as visual analog scale (VAS), while in this study, the success rate of 
anesthesia has been considered.

Given the fact that the majority of studies have assessed the relationship between 
anxiety and pain level, and little attention has been paid to the success of anesthesia, 
the present study aimed to determine the relationship between dental anxiety and the 
success rate of anesthesia in dental patients.

Materials and Methods
This cross-sectional study was conducted between February and December 2016. 

after receiving permission from the research council and the ethics committee of 
Yasuj University of Medical Sciences. From 15 dental clinics in Gachsaran city in the 
south of Iran, five clinics were randomly selected by cluster sampling. Among the 
patients referred to these clinics, 256 patients who met inclusion criteria were ran-
domly selected by simple random sampling. 

The inclusion criteria for participation in the study were adults aged between 18 and 
70 years, no cognitive impairment, and obtaining informed consent to participate in 
the study.

In this study, all patients approached by the same processes. At each dental clinic, 
patients were given the necessary explanations about the purpose of the research 
and how to fill out the questionnaires by a person with a bachelor’s degree in psychol-
ogy who had received the necessary training. Also, five dental surgeons with more 
than ten years of experience performed local anesthesia, who had already received 
the required training about the study, method of local anesthesia, and its success rate. 

At first, research objectives were explained to the patients waiting for their den-
tal treatment that required local anesthesia. In order to assess the anxiety level of 
patients before anesthesia, the modified dental anxiety scale (MDAS), demographic 
characteristics (age, gender, level of education, and the last dental visit) and informed 



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Esmaeili et al.

consent form were completed by patients. After local anesthesia it’s success rate was 
recorded by the dentist. 

Research Tools

Modified dental anxiety scale (MDAS): The MDAS was applied to assess the anxiety 
of dental patients. This five-items questionnaire is scored based on a five-point Likert 
scale (from no anxiety=1 to extremely anxious=5). Besides, the score range of the 
scale is 5-25; a higher score indicates a higher anxiety level.

This total score can be classified, as follows:

Minimum anxiety (5-9), moderate anxiety (10-12), high anxiety (13-17), and extremely 
anxious (18-25) who need special care29. 

In the present study, we applied 1.8 ml 2% lidocaine and 1:10000 epinephrine as local 
anesthesia. After 10 minutes of administration, the dentist evaluated the soft tissue (e.g., 
lips and gum) and hard tissue anesthesia in the mouth and related teeth using Pinprick 
and Cavity tests, respectively. In the Pinprick Test, a relatively sharp tool (e.g., a probe) is 
used to assess soft tissue anesthesia. In this context, the probe is entered into the desired 
tissue, and the level of pain perceived was compared to the soft tissues on the other side 
of the jaw. In case of soft tissue anesthesia, the cavity test was performed with a drill to 
determine whether hard tissue anesthesia was achieved or not. 

In addition, the effect of dental anesthesia was recorded in one of the following three 
items:

1. Successful anesthesia: this item is selected if soft and hard tissue anesthesia is 
achieved in both tests, and the patient has no irregular pain during the treatment 
process. 

2. Difficult anesthesia: anesthesia is re-administered by the dentist if the pain is per-
ceived in a probe or drill test. In case of complete soft and hard tissue anesthesia 
after re-administration of anesthesia and the use of complementary injection te-
chniques, this item is selected by the dentist. 

3. Failed anesthesia: in case of lack of anesthesia in lips and mouth after re-admi-
nistration of anesthesia and the use of complementary techniques, treatment is 
postponed to another day. In fact, the dentist announces anesthesia failure and 
selects this item.

Data Analysis

Data analysis was performed in SPSS version 22 using Chi-square, independent t-test, 
analysis of variance (ANOVA) tests and logistic regression model. 

Results
From 256 subjects, 144 were female (56.3%), and 112 were male (43.8%). In addition, 
the mean age and standard deviation of the participants were 35.28±12.56 years. 
Moreover, the mean and standard deviation of dental anxiety of the subjects was 
14.08±6.56. Furthermore, the mean and standard deviation of the last visit to the den-
tist was 33.06±35.87 months. Other research variables are presented in Table 1. 



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Esmaeili et al.

Table 1. The number and percent of research variables

PercentNvariable

age

28.97418-28

29.37529-38

11.73039-48

3.5949-58

6.61759 and higher

gender

43.8112male

56.3144female

Education level

28.573Elementary school

41.4106High school

28.974university

Local analgesia

4.311failure

40.6104difficult

54.7140Successful

Dental anxiety

10.2026No anxiety

29.3075Low 

11.3029Moderate 

12.5032High

36.7094Extreme

According to Table 1, most participants were in the age group of 29-38 years (29.3%). 
In terms of literacy, most subjects were in the high school group (41.4%). Furthermore, 
regarding dental anesthesia, the majority of participants were in the successful anes-
thesia group (57.4%), followed by the group of difficult anesthesia group (40.6%). In 
terms of dental anxiety, most subjects had mild anxiety (39.5%), while 31.6% of the 
participants had very high dental anxiety. In general, 39.5% of the participants had 
mild anxiety, and 60.5% had anxiety ranging from moderate to extreme. 

In this study, we applied the analysis of variance (ANOVA) to determine whether there 
was a difference among three groups of successful, difficult and failed anesthesia in 
the mean of anxiety (Table 2).

Table 2. ANOVA test to compare dental anxiety in three groups of successful, difficult and Failed anesthesia 

Local anesthesia N
Anxiety

F sig
Mean St.D

failed 11 17.9091 7.31375

29.95 0.001difficult 104 17.1923 6.44781

successful 140 11.4857 5.40515

St.D: standard deviation



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Esmaeili et al.

According to the mentioned table, there was a significant difference among the 
groups in the mean of anxiety (P=0.001, F=29.95). Also, the Tukey Post Hoc Test 
was exploited to determine the substantial difference in groups regarding the 
mean of anxiety. In this regard, there was a significant difference between the 
group of successful anesthesia and the two groups of difficult anesthesia and 
failed anesthesia (P<0.01). The results were indicative of a significantly lower den-
tal anxiety in the subjects of the successful anesthesia group, compared to the 
other groups.

According to ANOVA results (Table 3), there was a significant difference between 
the three groups of elementary education, high school, and university degrees in the 
mean of dental anxiety (P>0.01). 

Table 3. ANOVA test to compare dental anxiety in three groups of elementary, high school and university level

Educational level N Mean St.D F sig

elementary school 73 17.08 6.45

11.22 0.001High school 106 12.77 6.33

university 74 13.14 6.23

St.D: standard deviation

According to Table 3, the mean dental anxiety was significantly different in three 
groups of elementary education, high school, and university degrees (P<0.01).

The Tukey Post Hoc Test showed a significant difference between the group of 
elementary education with groups of high school and university degrees regarding 
mean dental anxiety (P<0.01). The level of dental anxiety was higher in subjects 
with elementary education, compared to the other groups. However, no significant 
difference was found between the groups of high school and university degrees in 
this respect (P>0.05).

Besides, ANOVA was indicative of a significant difference among various age groups 
regarding the mean anxiety level (P<0.01). According to the results, there was a 
considerable difference between the age group of ≥59 years and the age groups of 
18-28 years (P<0.05), 29-38 years (P<0.01), and 39-48 years (P<0.01) in terms of 
dental anxiety. However, no significant difference was observed between the age 
groups of ≥59 years and 49-58 years (P>0.05). The findings were also indicative of a 
higher dental anxiety level in the age group of ≥59 years.

According to the Chi-square results, no significant relationship was observed between 
the level of anesthesia and variables of age and level of education (P>0.05). 

Table 4 shows the mean and standard deviation of the last visit (month) to the dentist 
at various anxiety levels. 



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Esmaeili et al.

Table 4. The mean and standard deviation of the last visit to the dentist (month) at several levels of anxiety

Anxiety N
last visit

Mean St.D

No anxiety 17 12.02 12.28

low 50 17.12 26.34

moderate 20 14.91 11.75

high 28 25.66 30.72

extremely 91 52.01 39.20

St.D: standard deviation

According to this table, the highest mean of last visits to the dentist (52.01±39.20) 
was related to subjects with a high anxiety level. Also, ANOVA showed that the mean 
of the last visit to the dentist had a significant difference at various anxiety levels 
(P=0.001, F=15.12). 

According to the Tukey test, the group of high anxiety levels had a significant differ-
ence with other groups (no anxiety, low anxiety, moderate anxiety, and high anxiety) 
regarding the mean last visit to the dentist (P<0.01). In addition, the mean and stan-
dard deviation of the last visit to the dentist was significantly lower in female partici-
pants (22.74±27.71) compared to male subjects (45.12±40.44) (P<0.001).

 Furthermore, we applied the logistic regression test to determine the most import-
ant predictors of the level of anesthesia. Level of anesthesia at two levels (success-
ful anesthesia and difficult and failed anesthesia) was considered as the dependent 
variable while the variables of age, gender, literacy, and dental anxiety level were 
entered into the equation as independent variables. Finally, the variables of literacy 
level and anxiety were significant and remained in the regression equation. Since the 
R Square of the equation was equal to 0.39, the independent variables (literacy level 
and dental anxiety level) predicted 39% of changes in the dependent variable (level 
of anesthesia). 

According to results, the most changes in the dependent variable (anesthesia) were 
related to dental anxiety (moderate anxiety), in a way that changes dental anxiety from 
moderate to very severe increased the risk of difficult or failed anesthesia by 30.90 
times. Moreover, regarding the literacy level, the change of level of education from 
elementary education to university increased the chance of successful anesthesia by 
6.99 times. 

Discussion 
According to the results of the present study, 60.5% of the participants had signifi-
cant dental anxiety. In this regard, our findings are in line with the results obtained by 
Dou et al. They resulted that the majority of participants (83.1%) had dental anxiety30. 
One of the most important factors associated with dental anxiety is the experience 
of pain in previous visits to the dentist. According to the results of the present study, 
there was a significant difference among the three groups of successful, difficult, and 
failed anesthesia in terms of the level of dental anxiety. In this regard, the anxiety level 



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Esmaeili et al.

was lower in the group of successful anesthesia, compared to the other two groups. 
Besides, the anxiety level was recognized as one of the most important predictors of 
dental anesthesia level. 

Pain is as much a cognitive and emotional construct as it is a physiological experi-
ence31. Thus, emotional states, such as anxiety and fear, can affect the severity of pain32.

Some studies have demonstrated that patients with a high anxiety level experience 
difficult anesthesia and more pain during different dental treatments23,33,34. Dental 
patients usually expect more pain than their previous experiences, and perception 
of pain is an essential factor in this regard. According to the literature, people with a 
high anxiety score tend to exaggerate their level of pain and fear23,35. This exaggera-
tion leads to recording a higher score for pain, which is subjective and self-assessed 
by patients. However, the level of exaggeration in pain was somehow reduced in the 
present study due to assessing the effect of anesthesia using the Pinprick and Cavity 
tests. Increased dental anxiety results in a higher expectation of pain, which itself 
increases anxiety in patients. This vicious cycle between pain and anxiety can be par-
tially improved by providing the patient with positive, useful information about the 
anesthetic process and treatment36. 

Moreover, people with a high level of anxiety are often hypervigilant37. In other words, 
people with a high level of anxiety is always in an increased state of awareness, and 
they notice the slightest change in their body. Therefore, the use of distraction tech-
niques can somehow reduce dental anxiety in these patients38. Since dental anxiety 
is influenced by various factors such as psychosocial factors, solving these problems 
can have a significant impact on reducing dental anxiety39. 

Patient response is an essential factor in sensibility tests. Patients with a high level 
of anxiety may have a premature or false-positive response because they expect to 
feel an unpleasant sensation40. Individuals’ cognitive and affective processing, mood, 
emotions, coping strategies can influence pain perception. At the same time, people 
with a high level of anxiety, they are more inclined to catastrophizing the pain41,42.

According to the results of the present study, there was a significant difference among 
the three groups of elementary education, high school, and university degrees in terms 
of mean dental anxiety. In this regard, subjects with primary education experienced 
a higher level of anxiety, compared to the other two groups, which is congruent with 
the results obtained by Saeed, Saatchi, et al., and Firat43-45. According to these studies, 
the level of dental anxiety decreased with increased literacy level. It may be due to 
the inability of illiterate patients to communicate with dentists. Also, people with a 
higher knowledge level have more information about the importance of dental and 
oral health.

Moreover, People with a higher level of education are also generally well-posi-
tioned, which would enable them to pay the dental treatment costs. According to 
the results of the present study, the mean dental anxiety was significantly higher 
in the age group of ≥59 years, compared to the other age groups (18-28, 29-38, 
and 39-48 years). In this regard, our findings are in accordance with the results 
obtained by Nair et al.46 and Thomson et al.47. The results of Humphris’s study 
were inconsistent with our findings9. According to these results, the level of dental 



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Esmaeili et al.

anxiety decreases with aging. Most subjects in the age group of ≥50 years are 
more involved in issues related to their health and disease. In this age group, in 
addition to chronic disease, root canal problems, and periodontal diseases are 
somewhat prevalent; therefore, it can be said that these problems may cause 
more anxiety in this age group.

According to the results of the present study, those who had not seen a dentist for 
a long time experienced higher dental anxiety. This result is in line with the results 
obtained by Quteish Taani and Appukuttan et al. They concluded that people with 
a higher anxiety level more delay their visit to the dentist12,48. In other words, people 
who regularly visit for dental examinations have less anxiety compared to those who 
visit the dentist at longer periods and irregularly. Anxious people usually tend to avoid 
dental treatment, which is a major problem and affects their quality of life. Notably, 
various factors, such as lack of time and expensive dental costs, can be related to 
delayed visits to the dentist.

Like all studies, this study has its limitations, including that dental clinics, did not 
have access to an electrical pulp tester to confirm local dental anesthesia. For this 
purpose, they used the Pinprick test for Soft oral tissue and cavity test for hard 
tissue.

Although, according to the study of Lin and Chandler, the use of Electrical pulp 
testers is known as a subjective method which, based on stimulation of sensory 
nerves, and requires and relies on subjective assessments and comments from the 
patient49.

Also, Agbaje and De Laat, concluded that there is a high correlation (89% to 94%) 
between quantitative and qualitative sensory testing. This result showed that qual-
itative somatosensory testing could be used as a screening tool in the clinical 
setting50.

In conclusion, although a high level of anxiety is an indication of sedation in the 
patients, proper interventions, such as informing patients about anesthesia, dental 
treatment procedures, regular and periodic visits to the dentist, as well as using psy-
chotherapeutic techniques to reduce dental anxiety before anesthesia, could play an 
essential role in the success of anesthesia.  

Acknowledgments
Authors would like to thank Yasuj University of Medical Sciences, Research and Tech-
nology deputy for their financial support of this study. 

Disclosure of interest
The authors report no conflicts of interest.

Ethics approval and consent to participate
The research proposal approved in research ethics committee of Yasuj University of 
Medical Sciences and in accordance with the ethical standards of the 1964 Helsinki 
declaration. The ethical registration code is IR.YUMS.REC.1395.211



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