Content uploaded by Ilana Eli
Author content
All content in this area was uploaded by Ilana Eli on Oct 27, 2020
Content may be subject to copyright.
Content uploaded by Gniewko Więckiewicz
Author content
All content in this area was uploaded by Gniewko Więckiewicz on Oct 12, 2020
Content may be subject to copyright.
Journal of
Clinical Medicine
Article
Temporomandibular Disorders and Bruxism
Outbreak as a Possible Factor of Orofacial Pain
Worsening during the COVID-19
Pandemic—Concomitant Research in Two Countries
Alona Emodi-Perlman 1, †, Ilana Eli 1, †, Joanna Smardz 2, Nir Uziel 1,
Gniewko Wieckiewicz 3, Efrat Gilon 1, Natalia Grychowska 4and Mieszko Wieckiewicz 2,*
1Section of Dental Education, Department of Oral Rehabilitation, The Maurice and Gabriela Goldshleger
School of Dental Medicine, Tel Aviv University, Tel Aviv 6139001, Israel; dr.emodi@gmail.com (A.E.-P.);
elilana@tauex.tau.ac.il (I.E.); niruziel@gmail.com (N.U.); gilon.efrat@gmail.com (E.G.)
2Department of Experimental Dentistry, Wroclaw Medical University, 50-425 Wroclaw, Poland;
joannasmardz1@gmail.com
3Department and Clinic of Psychiatry, Medical University of Silesia, 42-612 Tarnowskie Gory, Poland;
gniewkowieckiewicz@gmail.com
4Department of Prosthetic Dentistry, Wroclaw Medical University, 50-425 Wroclaw, Poland;
natgrychowska@gmail.com
*Correspondence: m.wieckiewicz@onet.pl
†Equal contribution.
Received: 23 August 2020; Accepted: 27 September 2020; Published: 12 October 2020
Abstract:
Background: In late December 2019, a new pandemic caused by the SARS-CoV-2 (Severe
Acute Respiratory Syndrome Coronavirus 2) infection began to spread around the world. The new
situation gave rise to severe health threats, economic uncertainty, and social isolation, causing
potential deleterious effects on people’s physical and mental health. These effects are capable of
influencing oral and maxillofacial conditions, such as temporomandibular disorders (TMD) and
bruxism, which could further aggravate the orofacial pain. Two concomitant studies aimed to
evaluate the effect of the current pandemic on the possible prevalence and worsening of TMD and
bruxism symptoms among subjects selected from two culturally different countries: Israel and Poland.
Materials and Methods: Studies were conducted as cross-sectional online surveys using similar
anonymous questionnaires during the lockdown practiced in both countries. The authors obtained
700 complete responses from Israel and 1092 from Poland. In the first step, data concerning TMDs and
bruxism were compared between the two countries. In the second step, univariate analyses (Chi
2
) were
performed to investigate the effects of anxiety, depression, and personal concerns of the Coronavirus
pandemic, on the symptoms of TMD, and bruxism symptoms and their possible aggravation. Finally,
multivariate analyses (logistic regression models) were carried out to identify the study variables that
had a predictive value on TMD, bruxism, and symptom aggravation in the two countries. Results:
The results showed that the Coronavirus pandemic has caused significant adverse effects on the
psychoemotional status of both Israeli and Polish populations, resulting in the intensification of their
bruxism and TMD symptoms. Conclusions: The aggravation of the psychoemotional status caused
by the Coronavirus pandemic can result in bruxism and TMD symptoms intensification and thus
lead to increased orofacial pain.
Keywords:
COVID-19; SARS-CoV-2; coronavirus pandemic; temporomandibular disorders; bruxism;
orofacial pain
J. Clin. Med. 2020,9, 3250; doi:10.3390/jcm9103250 www.mdpi.com/journal/jcm
J. Clin. Med. 2020,9, 3250 2 of 15
1. Introduction
Temporomandibular disorders (TMD) are a group of conditions that cause pain and dysfunction
of the masticatory muscles, the temporomandibular joints (TMJs), and associated structures. The most
common features of TMD are regional pain, limited jaw movements, and acoustic sounds from
TMJs during motions [
1
]. The prevalence of TMD in the general population is estimated at about
10–15% [
2
–
4
], and these conditions affect women more frequently than men. Psychosocial factors,
such as anxiety, stress, depression, coping strategies, and catastrophizing, may influence the onset
of pain, as well as precipitate or prolong the TMD pain [
5
–
8
]. The International Association for the
Study of Pain (IASP) reported that TMD-related facial pain occurs in 9–13% of the general population,
while only 4–7% seek treatment. The TMD-related pain may also affect the daily activities, physical
and psychosocial functioning, and quality of life of the affected individuals [9].
Bruxism is a repetitive jaw muscle activity characterized by clenching or grinding of the teeth,
and/or bracing or thrusting of the mandible [
10
]. It can act as a potential risk factor for several negative
consequences of health such as masticatory muscle pain, oral mucosa damage, mechanical tooth wear,
and failures of prosthodontic constructions [
11
–
13
]. This condition is divided into sleep bruxism (SB)
awake bruxism (AB). The prevalence of SB is estimated at about 16% among young adults and at 3–8%
among adults, while the prevalence of AB in the general population is estimated at about 22–30%.
Both forms of bruxism men and women equally [14].
Psychosocial factors, such as stress and anxiety, have been indicated as associated with both
SB and AB [
15
–
20
]. However, the latest research showed that self-reported perceived stress was not
correlated with the intensity of SB [21].
In late December 2019, a new unfamiliar and threatening pandemic called COVID-19 (Coronavirus
2019 disease), which is caused by the SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2)
infection, began to spread around the world. Due to almost complete uncertainty about the ways of
virus spread [
22
] and the appropriate modes of treatment, insufficient availability of health services,
and no existing vaccine or efficient drug for treatment, most countries adopted the policies of social
distancing and partial to total lockdown.
The situation continued, and within weeks, routine life was drastically altered. This gave rise to
severe health threats, economic uncertainty, and social isolation, causing potential deleterious effects
on the physical and mental health of the people. The common psychological responses of individuals
to the Coronavirus pandemic included stress, anxiety, and depression [
22
]. All these are capable of
influencing the oral and maxillofacial syndromes, such as TMD and bruxism, which could further
aggravate the orofacial pain [23].
Studies aimed to: (i) evaluate the effect of the current Coronavirus pandemic on the possible
prevalence and worsening of TMD and bruxism symptoms, among subjects selected from two culturally
different countries: Israel and Poland; and (ii) to define the predictors of TMD and bruxism during the
lock down periods, in the above countries.
2. Materials and Methods
Studies were conducted as cross-sectional online surveys using anonymous questionnaires.
The final questionnaire was compiled from tools commonly used with regard to TMD, bruxism, anxiety
and depression (3Q/TMD, possible/probable bruxism, and Patient Health Questionnaie-4, as detailed
below), and specific questions referring to demographics, concerns specific to the Coronavirus, media
consumption, etc. The latter were agreed upon, and tested for content validity, by a group of subject
matter experts (SMEs). The group consisted of four dentists (AE-P, IE, NU, and EG) who work at
the Tel Aviv University School of Dental Medicine and have vast clinical and academic experience in
working with patients suffering from TMD and bruxism. Each SME proposed questions for the study
and, following discussions, the final questions were agreed upon. The questionnaire was compiled in
Hebrew and translated to Polish by the Polish group. The surveys were carried out one month after
the start of the total lockdown periods in each of the countries.
J. Clin. Med. 2020,9, 3250 3 of 15
2.1. Population
The questionnaire was distributed through the internet (in Hebrew in Israel, in Polish in Poland).
In Israel, the study questionnaire was posted on SurveyGizmo (https:www.mysurveygizmo.
com/s3) and distributed through mailing lists of dental clinics and social media (e.g., Facebook and
WhatsApp).
In Poland, the questionnaire was posted on Reddit, an American social news aggregation platform
that allows the users to interact on community-created discussion forums, and on r/Polska sub-reddit.
In both countries, the responses were given anonymously by the participants.
Studies were conducted in full accordance with the World Medical Association Declaration of
Helsinki. In Israel, all the study procedures were approved by the Ethics Committee of the Tel Aviv
University in Israel (ID: 0001332-1). In Poland the Bioethical Committee of the Wroclaw Medical
University approved the study protocol (ID: KB-302/2020). Informed consent was obtained from all the
subjects as required.
2.2. Instruments
The following data were collected from the participants:
1.
Demographic and general information: This included the consent to participate in the study, age,
gender, and conjugal status (with partner and children, with partner but no children, with children
but no partner, with roommate, alone).
2.
Concerns specific to the Coronavirus: These included worries about the risk of being contaminated
(yes/no), and about the financial aspects, physical health, mental health, and relationship with
relatives and friends (ranging from 1—not at all to 5—very worried).
3.
TMD screening: The 3Q/TMD questionnaire, which is a reliable and acceptable tool for screening
the TMD conditions, was used for collecting data [
24
,
25
]. The questionnaire has an excellent
negative predictive value and is regarded as a valid tool for screening [
24
,
25
]. It asks about the
existence of pain in the temple, face, and jaw during mouth opening or chewing, and whether
there is an experience of jaw locking. A positive response to one of these confirms the presence
of TMDs.
4.
Possible/probable AB: An accepted way to assess possible AB and/or SB is the use of a self-report
questionnaire [12,17,26]. The questions are related to awareness (by self or being told by others)
of grinding, clenching, and holding the teeth together and/or tightening the masticatory muscles
during the day (scale ranging from 0—never to 4—all the time). A positive answer to one of these
(either than “never”) confirms the presence of “possible AB”. An additional positive response to
the question that refers to “being told by a dentist that you clench/grind your teeth” confirms the
presence of “probable AB” [10,27].
5.
Possible/probable SB: It is assessed through the question, “Do you know or have been told that you
clench or grind your teeth while you sleep?” A scale ranging from 0 (never) to 4 (4–7 nights/week)
is used for this assessment. Any score above 0 (never) confirms the presence of “possible SB”.
An additional positive response to the question that refers to “being told by a dentist that you
clench/grind your teeth” confirms the presence of “probable SB” [10,27].
6.
Possible aggravation of symptoms associated with TMDs and bruxism (“since the beginning of
the Coronavirus confinement do you feel any changes in
. . .
etc.”). The evaluated symptoms
referred to: (i) pain in temple, face, jaw or jaw joint, pain at mouth opening or chewing and jaw
locking (for TMD); (ii) headache during the day in the temple area, exacerbation in pain levels
during the day and change in the temple pain upon functioning (for TMD and AB); and (iii)
difficulties in mouth opening upon awaking, jaw and/or muscle stiffness upon awaking and
temple headache that is reduced after some time (for SB) [
28
]. The scores were as follows: no
change, slight aggravation, significant aggravation, and improvement.
J. Clin. Med. 2020,9, 3250 4 of 15
7.
Anxiety and depression: The Patient Health Questionnaire-4, a brief screening tool, is used for
assessing anxiety and depression [
29
]. The total score of this questionnaire ranges from 0 to 12,
and the conditions are usually evaluated using the following cut-offscores: 0–2, normal; 3–5, mild;
6–8, moderate; 9–12 severe [
29
]. The questionnaire also allows performing a separate evaluation
for anxiety and depression.
8.
Media consumption: Report of news consumption concerning the Coronavirus pandemic through
television, internet, and/or social media was also assessed (scale ranging from 1—not at all to
4—all reports/all the time).
All questions were formulated in a first person voice (referring to self), and referred to the last
30 days, namely, to the period of the lock down.
The surveys were open to anyone who entered the SurveyGizmo (https:www.mysurveygizmo.
com/s3) site and/or the Facebook and/or WhatsApp apps (in Israel) or the r/Polska sub-reddit in Poland.
In Israel, complete lock down was imposed on 19 March 2020. Data were collected from 16 April
(namely, four weeks after the beginning of the complete lock down) to 20 May 2020. In Poland,
complete lock down was imposed on 31 March 2020. Data were collected from 29 April (four weeks
after the beginning of the lockdown) to 3 May 2020.
2.3. Statistical Analysis of Data
Data analysis was performed using STATISTICA PL Version 12 software (Tulsa, OK, USA), with the
level of significance set at p<0.05. In the first step, the data concerning TMDs, AB, and SB were
compared between the two countries (descriptive analyses). In the second step, univariate analyses
(Chi
2
) were performed to investigate the effects of anxiety, depression, and personal concerns of the
Coronavirus pandemic (being contaminated, being influenced financially, experiencing negative effects
on physical and/or mental health and on the relationship with relatives and friends) on the symptoms
of TMDs, SB, and AB and their possible aggravation. Finally, multivariate analyses (logistic regression
models—binomial logit models) were carried out to identify the study variables that had a predictive
value on the symptoms of TMDs, AB, and SB and their aggravation.
3. Results
In Israel, a total of 867 subjects responded to the questionnaire, out of whom 80.74% (N=700)
fully completed it. In Poland, a total of 1096 subjects responded to the questionnaire, of which 99.63%
(N=1092) fully completed it.
The age groups of participants were defined according to “young adults” (age of 18–35 years)
and “adults” (36–56 years old) as accepted in the literature [
30
]. Some significant differences existed
between the two populations with regard to gender and age groups (Tables 1and 2).
Table 1. Gender of study populations.
Gender Percent Israel Count Percent Poland Count
Male 33.6% 235 41.6% 454
Female 66.4% 465 58.4% 638
Total 100% 700 100% 1092
The Polish population had more females (p<0.05), and the participants were significantly younger
compared to their Israeli counterparts (p<0.05).
Due to these significant differences in age and gender between the studied populations,
comparisons were carried out separately for males and females, categorized into predefined age groups.
J. Clin. Med. 2020,9, 3250 5 of 15
Table 2. Age of study populations.
Age Israel Poland
Female N (%) Male N (%) Total Female N (%) Male N (%) Total
18–35 142 (30.5) 61 (26.0) 203 443 (69.4) 385 (84.8) 828
36–55 185 (39.8) 98 (41.7) 283 171 (26.8) 63 (13.9) 234
>56 127 (27.3) 73 (31.1) 200 24 (3.8) 6 (1.3) 30
N/A 11 (2.4) 3 (1.3) 14 0 0 0
Total 465 235 700 638 454 1092
3.1. Descriptive Analyses—TMDs, Possible/Probable AB, and Possible/Probable SB
1. TMD screening: The results showed that the odds of occurrence of TMDs among the Polish
young adult and adult age groups (18–35 years and 36–55 years) were significantly higher for both
males and females as compared to the Israeli groups (odds ratios ranged from 3.04 to 5.37). However,
no such differences were observed for the elderly group (>56 years) between the populations (Table 3).
Table 3. Temporomandibular disorders (TMD) distribution.
TMD Positive TMD Negative
p*OR (95% CI) #
Age Gender Israel Poland Israel Poland
18–35 Male N (%) 7 ((1.6) 158 (35.4) 54 (12.1) 227 (50.9) 0.0000 5.37 (2.38, 12.11)
Female N (%) 48 (8.2) 280 (47.8) 94 (16.1) 163 (27.9) 0.0000 3.36 (2.26, 5.00)
36–55 Male N (%) 13 (8.1) 20 (12.4) 85 (52.8) 43 (26.7) 0.005 3.04 (1.38, 6.69)
Female N (%) 47 (13.2) 105 (29.5) 138 (38.8) 66 (18.5) 0.0000 4.67 (2.9, 7.34)
>56 Male N (%) 10 (12.7) 1 (1.3) 63 (79.7) 5 (6.3) >0.05 1.26 (0.13, 11.93)
Female N (%) 25 (16.6) 12 (7.9) 102 (67.6) 12 (7.9) 0.003 4.08 (1.64, 10.16)
N/A 2 0 12 0 - - - - - - - -
Total 152 576 548 516
* Comparison of countries in regard to TMD positive/TMD negative in particular age and gender groups (Chi
2
).
#OR comparing Poland versus Israel in regard to TMD positive in particular age and gender groups.
2. Possible/probable AB: Similar results were found for possible/probable AB. The odds of
occurrence of these conditions among the Polish participants were significantly higher in general
than among the Israeli participants (except the young and elder males), with the odds ratios ranging
between 2.51 and 6.41 (Table 4).
Table 4. Awake bruxism (AB) distribution.
Probable AB (I) Possible AB (II) AB Negative (III)
p*OR (95% CI) #
Age Gender Israel Poland Israel Poland Israel Poland
18–35 Male N (%) 8 (1.8) 71 (15.9) 21 (4.7) 138 (30.9) 32 (7.2) 176 (39.5) >0.05 1.31 (0.76, 2.25)
Female N (%)
40 (6.8) 187 (32.0) 38 (6.5) 151 (25.8) 64 (10.9) 105 (17.9) 0.0000 2.64 (1.78, 3.93)
36–55 Male N (%)
19 (11.8)
17 (10.6) 15 (9.3) 19 (11.8) 64 (39.7) 27 (16.8) 0.015 2.51 (1.31, 4.81)
Female N (%)
46 (12.9)
94 (26.4)
38 (10.7)
50 (14.0) 101 (28.4) 27 (7.6) 0.0000 6.41 (3.88, 10.60)
>56 Male N (%) 8 (10.1) 0 4 (5.1) 1 (1.3) 61 (72.2) 5 (6.3) >0.05 1.02 (0.11, 9.50)
Female N (%)
30 (19.9)
9 (6.0) 9 (6.0) 6 (4.0) 88 (58.3) 9 (6.0) 0.007 3.76 (1.52, 9.33)
N/A 2 0 0 0 12 0 - - - - - - - -
Total 153 378 125 365 422 349
* Comparison of countries in regard to Possible/Probable AB/AB negative in particular age and gender groups
(Chi
2
).
#
OR comparing Poland versus Israel in regard to AB positive (Possible and Probable AB) in particular age
and gender groups.
3. Possible/probable SB: The findings for possible/probable SB were also consistent. The odds
of occurrence of these conditions among the Polish subjects (except for males in the two higher age
J. Clin. Med. 2020,9, 3250 6 of 15
groups) were similar to those of the Israeli subjects, with the odds ratios ranging from 1.4 to 3.99
(Table 5).
Table 5. Sleep bruxism (SB) distribution.
Probable SB (I) Possible SB (II) SB Negative (III)
p*OR (95% CI) #
Age Gender Israel Poland Israel Poland Israel Poland
18–35 Male N (%) 8 (1.8) 61 (13.7) 9 (2.0) 74 (16.6) 44 (9.8) 250 (56.0) 0.008 1.40 (0.77, 2.54)
Female N (%)
34 (5.8) 182 (31.1) 21 (3.6) 90 (15.4) 87 (14.9) 171 (29.2) 0.0000 2.52 (1.71, 3.71)
36–55 Male N (%)
22 (13.7)
16 (9.9) 9 (5.6) 7 (4.4) 67 (41.6) 40 (24.8) >0.05 1.24 (0.64, 2.42)
Female N (%)
50 (10.7)
84 (23.6) 23 (6.5) 21 (5.9) 112 (31.5) 66 (18.5) 0.0000 2.44 (1.59, 3.74)
>56 Male N (%) 6 (7.6) 0 4 (5.1) 1 (1.3) 63 (79.8) 5 (6.3) >0.05 1.26 (0.13, 11.93)
Female N (%)
29 (19.2)
8 (5.3) 4 (2.7) 6 (4.0) 94 (62.2) 10 (6.6) 0.0008 3.99 (1.62, 9.84)
N/A 3 0 0 0 11 0 - - - - - - - -
Total 152 351 70 199 478 542
* Comparison of countries in regard to Possible/Probable SB/SB negative in particular age and gender groups (Chi
2
).
#
OR comparing Poland versus Israel in regard to SB positive (Possible and Probable SB) in particular age and
gender groups.
3.2. Aggravation of AB, SB and TMD Symptoms
Almost half (48.8%) of the Poles reported experiencing at least once a week pain in temple, face,
jaw or jaw joint during the past 30 days, namely, since the beginning of the lockdown. A total of 247
individuals (22.6%) declared pain during mouth opening or chewing and 101 (9.2%) jaw locking or
getting stuck at least once a week. Among the Israelis, the numbers were 166 (23.7%), 91 (13.0%),
and 35 (5.0%), respectively.
Among the Polish responders, 372 (34%) reported TMD symptoms aggravation, 372 (34%) AB
aggravation, and 311 (28%) SB aggravation. Among the Israeli responders, 107 (15%) reported TMD
symptoms aggravation, 111 (16%) AB symptom aggravation, and 94 (13%) SB symptom aggravation.
Both in Israel and in Poland, females reported more symptoms of TMD, AB, SB and symptom
aggravation, than males (Chi
2
,p<0.05 for all). However, further logistic regression analyses, performed
among Israeli population (see below), rejected gender as a predictor of SB. Distributions of TMD, AB,
SB among males and females in Poland and in Israel are presented in Tables 3–5.
3.3. The Effect of Conjugal Status
Significant relationships were observed between subjects’ conjugal status and TMD aggravation,
AB aggravation and SB aggravation among the Polish responders (Chi
2
,p<0.05, for all). Respondents
living with a roommate or sharing apartment with a partner, reported more TMD and AB aggravation
than those living with a spouse without children (Chi
2
,p<0.001 for both). They also reported higher
SB symptom aggravation than those with children but with no partner or spouse (p<0.001).
In Israel, no differences in TMD, AB. and SB symptom aggravation were observed among subjects
with different conjugal status.
3.4. The Effect of Demographic Data on Anxiety and Depression
In Poland, anxiety was more frequent among females than males (Chi
2
,p<0.05). Additionally,
a significant relationship was found between subjects’ conjugal status and depression (p<0.05).
Depression was more often among respondents living with a roommate or sharing an apartment with a
partner than among responders living with spouse and children (p<0.001). There were no significant
relationships between gender and depression or age and depression, between age and anxiety and
between conjugal status and anxiety.
In the Israel, anxiety and depression were more frequent among females than males (Chi
2
,
p<0.05
).
No relationships between conjugal status and depression or anxiety, and between age and depression
were detected. Anxiety was more frequent among young adults (18–35 years) than among the elderly
group (>56 years) (Chi2,p<0.001).
J. Clin. Med. 2020,9, 3250 7 of 15
3.5. Effect of Anxiety, Depression, and Personal Concerns on TMD, SB, and AB (Chi2)
1. TMD: The presence of anxiety, depression, or personal concerns significantly increased the
odds of occurrence of TMDs among both populations. The odds ratio ranged between 1.32 (concerns
of being contaminated by the virus) and 2.75 (anxiety) for the Polish subjects, while it ranged between
1.46 (concerns about personal finances due to the pandemic) and 6.4 (anxiety) for the Israeli population.
2. Possible/probable AB: The presence of anxiety, depression, and personal concerns significantly
increased the odds of occurrence of possible/probable AB among both populations. The odds
ratios ranged from 1.45 (concerns of being affected financially, for Polish subjects) to 2.85 (anxiety,
for Israeli subjects).
3. Possible/probable SB: Mixed results were observed for possible/probable SB. In Poland the odds
ratios ranged from 1.34 (concerns of being affected mentally) to 1.84 (anxiety). No effect was observed
for the concerns regarding personal finances or depression. Among the Israeli subjects, the odds ratios
ranged from 1.38 (worries of being affected financially) to 2.27 (anxiety). No effect was observed for
worries of being contaminated by the virus.
3.6. Effect of Anxiety, Depression, and Personal Concerns on the Possible Aggravation of TMD, SB, and AB
Symptoms (Chi2)
1. Aggravation of TMD symptoms: Anxiety, depression, and personal concerns significantly
increased the odds of aggravation of TMD symptoms in both populations. The odds ratios ranged from
1.58 (concerns regarding personal finances, for Polish subjects) to 3.03 (anxiety, for Polish subjects).
2. Aggravation of possible/probable AB symptoms: The obtained results were similar with regard
to the aggravation of AB symptoms. The odds ratios ranged from 1.36 (concerns regarding personal
finances, for Polish subjects) to 3.95 (anxiety, for Israeli subjects).
3. Aggravation of possible/probable SB symptoms: Similar results were observed for the
aggravation of SB symptoms. The odds ratios ranged from 1.60 (concerns regarding personal finances,
for Polish subjects) to 3.32 (anxiety, for Israeli subjects).
3.7. Multivariate Analyses (Logistic Regression)
1. TMD: The best predictors of TMD in Poland were female gender, anxiety, and personal concerns
(worries of being contaminated by the virus and about the pandemic’s effect on mental health) (Table 6).
Aggravation of TMD was best predicted by female gender, worries of being contaminated, use of social
media to look for information about the pandemic, and worries about the pandemic’s effect on mental
health (Table 7).
Table 6. Prediction of temporomandibular disorders (TMD) in Poland.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.384 0.065 34.516 1 2.16 (1.67, 2.78) 0.0000
Risk of contamination * Yes 0.237 0.065 13.526 1 1.61 (1.25, 2.07) 0.0002
Anxiety Yes 0.372 0.082 20.505 1 2.10 (1.53, 2.90) 0.0000
Mental health ** II 0.160 0.069 5.354 1 1.38 (1.05, 1.80) 0.0207
Link function: Logit. * Feeling at high risk of being contaminated (yes/no). ** Worries about the effect of the
Coronavirus on mental health (not at all/a little worried (I) versus somewhat worried/worried/very worried (II)).
On the other hand, the only significant predictor of TMDs in Israel was anxiety (Estimate: 0.917,
S.E.: 0.107, Wald: 73.922, df: 1, odds ratio 6.25, 95% confidence interval 4.11–9.49).
The best predictors of TMD aggravation in Israel were female gender, concerns about the
pandemic’s effect on the relationship with family and friends, and anxiety (Table 8).
J. Clin. Med. 2020,9, 3250 8 of 15
Table 7. Prediction of temporomandibular disorders (TMD) aggravation in Poland.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.321 0.072 19.715 1 1.90 (1.43, 2.52) 0.0000
Risk of contamination * Yes 0.218 0.069 10.150 1 1.55 (1.18, 2.03) 0.0014
Social media ** II 0.249 0.069 12.929 1 1.65 (1.25, 2.16) 0.0003
Anxiety Yes 0.389 0.08 23.579 1 2.18 (1.59, 2.98) 0.0000
Mental health *** II 0.224 0.073 9.372 1 1.57 (1.18, 2.09) 0.0022
Link function: Logit. * Feeling at high risk of being contaminated (yes/no). ** How often connecting to social media
to check for news regarding the pandemic (not checking at all/checking once a day (I) versus checking several times
a day/checking all the time (II)). *** Worries about the effect of the Coronavirus on mental health (not at all/a little
worried (I) versus somewhat worried/worried/very worried (II)).
Table 8. Prediction of temporomandibular disorders (TMD) aggravation in Israel.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.255 0.127 4.041 1 1.66 (1.01, 2.74) 0.0444
Relations * II 0.375 0.112 11.155 1 2.12 (1.36, 3.29) 0.0008
Anxiety Yes 0.351 0.123 8.184 1 2.02 (1.25, 3.26) 0.0042
Link function: Logit. * Worries regarding the effect of the Coronavirus pandemic on relations with relatives and
friends (not at all/a little worried (I) versus somewhat worried/worried/very worried (II).
2. Possible/probable AB: In Poland, the best predictors of possible/probable AB were female gender,
concerns of being contaminated by the virus, and concerns about the pandemic’s effect on mental
health (Table 9). The aggravation of AB was best predicted by concerns about being contaminated by
the virus, anxiety, concerns of the pandemic’s effect on physical and/or mental health, and use of social
media for obtaining information about the pandemic (Table 10).
Table 9. Prediction of awake bruxism (AB) in Poland.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.472 0.069 46.245 1 2.57 (1.96, 3.37) 0.0000
Risk of contamination * Yes 0.212 0.070 9.089 1 1.53 (1.16, 2.01) 0.0026
Mental health ** II 0.249 0.075 11.041 1 1.64 (1.23, 2.21) 0.0009
Anxiety Yes 0.334 0.095 12.215 1 1.95 (1.34, 2.83) 0.0005
Link function: Logit. * Feeling at high risk of being contaminated (yes/no). ** Worries about the effect of the
Coronavirus on mental health (not at all/a little worried (I) versus somewhat worried/worried/very worried (II).
Table 10. Prediction of awake bruxism (AB) aggravation in Poland.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.349 0.074 22.300 1 2.01 (1.50, 2.69) 0.0000
Risk of contamination * Yes 0.208 0.071 8.615 1 1.51 (1.15, 2.00) 0.0033
Anxiety Yes 0.461 0.081 32.200 1 2.51 (1.82, 3.46) 0.0000
Physical health ** II 0.217 0.075 8.371 1 1.54 (1.15, 2.07) 0.0038
Mental health *** II 0.260 0.076 11.781 1 1.68 (1.25, 2.26) 0.0006
Social media **** II 0.241 0.071 11.516 1 1.62 (1.23, 2.14) 0.0007
Link function: Logit. * Feeling at high risk of being contaminated (yes/no). ** Worries about the effect of the
Coronavirus on one’s physical health (not at all/a little worried (I) versus somewhat worried/worried/very worried
(II)). *** Worries about the effect of the Coronavirus on one’s mental health (not at all/a little worried (I) versus
somewhat worried/worried/very worried (II)). **** How often connecting to social media to check for news regarding
the pandemic (not checking at all/checking once a day (I) versus checking several times a day/checking all the
time (II).
In Israel, the best predictors of possible/probable AB were female gender, depression, concerns
regarding personal finances, and anxiety (Table 11). The aggravation of AB was best predicted by
female gender, concerns about the pandemic’s effect on the relationship with relatives and friends and
on mental health, and anxiety (Table 12).
J. Clin. Med. 2020,9, 3250 9 of 15
Table 11. Prediction of awake bruxism (AB) in Israel.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.175 0.088 3.946 1 1.42 (1.00, 2.00) 0.0470
Depression
Yes 0.202 0.101 4.000 1 1.50 (1.01, 2.23) 0.0455
Finances * II 0.233 0.081 8.283 1 1.59 (1.16, 2.19) 0.0040
Anxiety Yes 0.383 0.109 12.472 1 2.15 (1.41, 3.30) 0.0004
Link function: Logit. * Worries about finances (not at al/a little worried (I) versus somewhat worried/worried/very
worried (II)).
Table 12. Prediction of awake bruxism (AB) aggravation in Israel.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.333 0.134 6.208 1 1.95 (1.15, 3.29) 0.0127
Relations * II 0.250 0.123 4.156 1 1.65 (1.02, 2.67) 0.0417
Anxiety Yes 0.445 0.131 11.522 1 2.44 (1.46, 4.08) 0.0007
Mental health ** II 0.292 0.134 4.737 1 1.79 (1.06, 3.04) 0.0295
Link function: Logit. * Worries regarding the effect of the Coronavirus pandemic on relations with relatives and
friends (not at all/a little worried (I) versus somewhat worried/worried/very worried (II)). ** Worries about the effect
of the Coronavirus on one’s mental health (not at all/a little worried versus somewhat worried/worried/very worried).
3. Possible/probable SB: In Poland, the best predictors of possible/probable SB were female gender,
worries of being contaminated by the virus, and anxiety (Table 13). The aggravation of SB was best
predicted by female gender, worries of being contaminated by the virus, anxiety, use of social media,
and concerns of the pandemic’s effect on mental health (Table 14).
Table 13. Prediction of sleep bruxism (SB) in Poland.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.485 0.065 55.413 1 2.64 (2.04, 3.41) 0.0000
Risk of contamination * Yes 0.198 0.064 9.646 1 1.49 (1.16, 1.91) 0.0019
Anxiety Yes 0.225 0.074 9.341 1 1.57 (1.18, 2.09) 0.0022
Link function: Logit. * Feeling at high risk of being contaminated (yes/no).
Table 14. Prediction of sleep bruxism (SB) aggravation in Poland.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.329 0.077 18.030 1 1.93 (1.42, 2.61) 0.0000
Risk of contamination * Yes 0.301 0.072 17.302 1 1.83 (1.38, 2.43) 0.0000
Anxiety Yes 0.405 0.083 24.071 1 2.25 (1.63, 3.11) 0.0000
Social media ** II 0.230 0.073 10.026 1 1.58 (1.19, 2.11) 0.0015
Mental health *** II 0.245 0.078 9.939 1 1.63 (1.20, 2.21) 0.0016
Link function: Logit. * Feeling at high risk of being contaminated (yes/no)
.
** How often connecting to social media
to check for news regarding the pandemic (not checking at all/checking once a day (I) versus checking several times
a day/checking all the time (II)).*** Worries about the effect of the Coronavirus on one’s mental health (not at all/a
little worried (I) versus somewhat worried/worried/very worried (II).
In Israel, possible/probable SB was best predicted by anxiety and concerns regarding the pandemic’s
effect on the relationship with relatives and friends (Table 15). The aggravation of SB was best predicted
by female gender, anxiety, and concerns about mental health (Table 16).
J. Clin. Med. 2020,9, 3250 10 of 15
Table 15. Prediction of sleep bruxism (SB) in Israel.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Anxiety Yes 0.323 0.103 9.762 1 1.91 (1.27, 2.86) 0.0018
Relations * II 0.359 0.091 15.516 1 2.05 (1.43, 2.92) 0.0001
Link function: Logit. * Worries regarding the effect of the Coronavirus pandemic on relations with relatives and
friends (not at all/a little worried (I) versus somewhat worried/worried/very worried (II)).
Table 16. Prediction of sleep bruxism (SB) aggravation in Israel.
Effect Predictor Estimate S.E. Wald df OR (95% CI) p
Gender Female 0.419 0.147 8.160 1 2.31 (1.30, 4.11) 0.0043
Anxiety Yes 0.358 0.139 6.665 1 2.05 (1.19, 3.53) 0.0098
Mental health * II 0.346 0.131 6.971 1 2.00 (1.20, 3.34) 0.0083
Link function: Logit. * Worries about the effect of the Coronavirus on one’s mental health (not at all/a little worried
(I) versus somewhat worried/worried/very worried (II))
4. Discussion
The two studies, carried out in two different countries, used similar tools and collected data
at similar points in time, as far as the pandemic progression and lock down periods are concerned.
In Israel, data collection started four weeks after the beginning of a total lockdown in the country.
Schools, kindergartens, and universities were closed. Leaving home for a distance more than 100 m was
prohibited, except for emergency, buying basic products, or work in vital posts (specifically defined by
the government). All nonemergency medical and dental treatments were stopped. Shops, restaurants,
and most public places were shut down. Personal contact with family members not cohabitating in the
same home and/or with friends was forbidden. Similarly, in Poland, data collection started four weeks
after the beginning of a total lockdown in the country, when the country was practicing an almost
complete lockdown with similar regulations as mentioned above for Israel (with minor exceptions,
e.g., there were no limitations on the distance of leaving home). Although the studied populations in
Poland and in Israel were not similar, age- and/or gender-wise, the similarity in research tools and in
the point in time allows us to evaluate some interesting differences between the two societies.
The first emerging finding of the two studies is that significant differences existed in the odds of
occurrence of bruxism (AB and SB) and TMD between the Polish and Israeli populations during the
lock down periods in the two countries. Except in a few cases (higher age group), the odds in Poland
were found to be higher by several hundred percent than those in Israel.
In the general population, the prevalence of bruxism is estimated at 8–31% and tends to decrease
with age [
31
]. SB prevalence is about 16% among young adults and 3–8% among adults, while the AB
prevalence in the general population is 22–30% [
14
]. Even the reported prevalence of bruxing activities
has a large range (2.7–57.3% for AB, 4.1–59.2% for SB) [
26
]. When considering TMD, it is believed
that about 75% of the general population may experience at least one TMD-associated sign during
their lifetime and about 33% have at least one TMD symptom at each time [
32
]. The differences origin
mostly in different modes of measuring.
Regretfully, accurate data on possible differences in pre-pandemic occurrence of bruxism in
the Polish versus Israeli populations are not available. However, some studies from Poland and
from Israel suggest that the occurrence of TMD in the Polish population may differ from that in the
Israeli population. Wieckiewicz et al. reported that 54% of Polish university students present TMD
symptoms [
33
]. In another study, the same group of authors reported that 56% of participants were
diagnosed with pain-related TMD after a clinical examination [
34
]. In Israel, Winocur et al. reported
that 37% of individuals had at least one TMD symptom [
35
]. Thus, the differences between countries,
observed in the present study, may be due to several reasons. First, the higher findings of TMD in
the Polish populations may have been there before the pandemic [
33
–
35
]. Possibly, the increase in
anxiety/depression in both countries affected TMD and bruxism in both countries in a proportional
J. Clin. Med. 2020,9, 3250 11 of 15
manner. Additionally, the differences in the demographic properties of populations were significant,
a fact that might have affected the results.
As both bruxism and TMD can be caused and intensified by psychologic factors [
8
,
31
],
the differences in their prevalence during the pandemic could have resulted from the psychological
differences between the participants. These, in turn, may result from ethnic, socioeconomic, political,
and cultural differences between the Polish and Israeli societies [
36
,
37
]. These factors could have
potentially modulated the psychoemotional status of the participants, influenced their coping strategies
during the Coronavirus pandemic, and in turn increased the prevalence of both bruxism and TMD in
Poland. However, this issue needs a further study focused on differentiating between the populations.
It should also be emphasized that TMDs are closely associated with orofacial pain. The IASP
reported that TMD-related facial pain occurs in 9–13% of the general population. As TMD-related
pain can affect the daily activities, physical and psychosocial functioning, and quality of life of
the affected individuals, such a relationship could play an important role during the COVID-19
pandemic [
9
]. Increased psychosocial distress during the pandemic can exacerbate the TMD symptoms,
including those associated with orofacial pain, which in turn may further negatively affect the patients’
psychoemotional status.
When the effects of anxiety, depression, and personal concerns on TMD, SB, and AB, and the
aggravation of their symptoms (pain in temple, face or jaw, pain when opening mouth, sticking
of jaw, headache, difficulty in mouth upon awaking, and stiffness in jaw upon awaking, etc.) were
analyzed, some similarities were observed between the countries. Although the odds of occurrence of
TMD, SB, and AB in Poland were by far higher than in Israel, the effects of emotional factors and of
personal concerns on the associated symptoms and their aggravation were found to be similar in both
countries. Anxiety, depression, and worries regarding finances, health and relationships significantly
increased the odds of occurrence of bruxism and TMD in both the Polish and Israeli societies (with some
minor exceptions).
Apparently, anxiety, depression, and personal worries evoked by the Coronavirus pandemic
increased the prevalence of TMD and bruxism. This is in line with the literature results, that anxiety,
stress, depression, coping strategies, and catastrophizing may precipitate or prolong the TMD pain [
2
–
8
],
and that psychosocial factors are associated with both forms of bruxism [
13
,
14
,
16
–
20
]. When the
pandemic situation kept changing rapidly from day to day, uncertainty and worries about the present
and future were common and unavoidable [
38
,
39
]. Moreover, subjects had to stay home and many
were unemployed, with the media constantly broadcasting apocalyptic news. Under such conditions,
a significant increase in the odds of occurrence of TMD, SB, and AB is not surprising.
The one prominent difference was observed between the studied populations. The studies show
that unlike the Polish participants, the worry of being contaminated by the virus did not increase the
odds of occurrence of AB and SB, or aggravate the symptoms of the conditions (TMD, SB, and AB)
among the Israeli subjects. This may be explained by the advanced and generally good public health
services available in Israel. All the Israeli citizens have governmental health insurance and are entitled
to all the necessary health services with no extra costs (besides a mandatory monthly fee). Furthermore,
hospitals are considered to meet high medical standards, and medical personnel are required to be
well trained. In Poland, citizens’ trust in national healthcare system is limited [40].
Logistic regression models used in this study for identifying the variables that can serve as
significant predictors of TMD, SB, AB, and/or the aggravation of their symptoms, showed that female
gender was significant in most of the calculations. In Poland, female gender played a significant role
in predicting the presence of TMD, AB, and SB, as well as the symptom aggravation, while in Israel
this factor played a significant role in predicting the presence of AB (but not TMD or SB) and the
aggravation of TMD, SB, and AB symptoms.
The role of gender is expected because most of the TMD patients worldwide are women [
1
].
In spite of the differences between the two countries, results showed that women in both places are
highly vulnerable to the effects of unexpected prolonged stress situations. Aggravation of chronic pain
J. Clin. Med. 2020,9, 3250 12 of 15
symptoms such as TMD and symptoms associated with bruxism may be only some of the negative
consequences that affect women more severely than men [41,42].
Additional factors that were consistently identified as significantly predicting the TMD, AB, and SB
(and/or the symptom aggravation) in the present studies were anxiety, worries of being contaminated
by the virus, and concerns about the pandemic’s effect on physical or mental health (to slightly different
extents in the two countries). In some instances, two additional factors were identified in the regression
analyses: worries that the pandemic will affect the relationship with relatives and friends (in Israel) and
the use of social media (but not TV or internet) for checking news regarding the pandemic (in Poland).
In Israel, close family ties and long-term friendships are very common in the society [
43
].
Apparently, the social distancing period, which prevented face-to-face meetings, took its toll on Israeli
society. The fact that the use of social media affected, in some cases, the Polish, but not the Israeli,
participants, may be explained by the younger age of the former. Another explanation may be that
the Israeli society is constantly exposed to security tension and alerts making it more resilient [
44
].
The Israeli public extensively check the news at all times, and the Coronavirus crisis is no different
from many other emergencies experienced by these people.
In a recent study, Varshney et al. reported that during the initial stages of the Coronavirus
pandemic in India, almost one-third of the respondents manifested a significant psychological
impact [
45
]. The factors that predicted a higher psychological impact were young age, female gender,
and the presence of a physical comorbidity. The authors of the study also showed that males faced
a lesser psychological impact as compared to females [
45
]. Thus, in spite of the differences between
countries and cultures, many of the basic factors affecting the public are similar.
Several limitations of the studies should be pointed out. No inclusion and/or exclusion criteria were
specified and the study samples were not predetermined. The significant differences in demographic
variables might have been a reason for some of the detected differences, especially in view of the fact
that gender (but not age) came out as a predictive factor in most of the models calculated for TMD,
bruxism, and symptom aggravation, in both countries. Moreover, the studies were performed during
a specific point in time at the first phase of the pandemic and may be indicative of the immediate stress
evoked by the sudden health risk and changes in life style. Additionally, possible confounders that
could have influenced the results were not under control.
Further longitudinal studies are needed to evaluate the pandemic’s possible long-term mental
and physical consequences. Multifactorial and multicultural research should be performed to identify
the risk groups and counteract the aggravation of emotional and physical effects in the case of future
global crises.
5. Conclusions
The coronavirus pandemic has caused significant adverse effects on the psychoemotional status
of both Israeli and Polish populations, resulting in the intensification of their bruxism and TMD
symptoms and thus leading to increased orofacial pain.
Author Contributions:
A.E.-P., I.E., and M.W. contributed to study conception and design. A.E.-P., I.E., G.W.,
N.U., and E.G. collected the data. A.E.-P., I.E., N.G., and J.S. were involved in data analysis and interpretation.
A.E.-P., I.E., M.W., and J.S. drafted the article. A.E.-P., I.E. and M.W. critically revised the article. All authors have
read and agreed to the published version of the manuscript.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
References
1.
LeResche, L. Epidemiology of Temporomandibular Disorders: Implications for the Investigation of Etiologic
Factors. Crit. Rev. Oral Biol. Med. 1997,8, 291–305. [CrossRef]
2.
Drangsholt, M. Temporomandibular Pain. In Epidemiology of Pain; Crombie, I.H., Croft, P.R., Linton, S.J.,
LeResche, L., Von Korff, M., Eds.; IASP Press: Seattle, DC, USA, 1999; pp. 203–234.
J. Clin. Med. 2020,9, 3250 13 of 15
3.
Macfarlane, T.V.; Glenny, A.-M.; Worthington, H.V. Systematic review of population-based epidemiological
studies of oro-facial pain. J. Dent. 2001,29, 451–467. [CrossRef]
4.
Nilsson, I.M.; List, T.; Drangsholt, M. Prevalence of temporomandibular pain and subsequent dental treatment
in Swedish adolescents. J. Oral Facial Pain 2005,19, 144–150.
5.
Berger, M.; Oleszek-Listopad, J.; Marczak, M.; Szymanska, J. Psychological aspects of temporomandibular
disorders—Literature review. Curr. Issues Pharm. Med. Sci. 2015,28, 55–59. [CrossRef]
6.
de Leeuw, R.; Klasser, G.D. Differential diagnosis and management of TMDs. In Orofacial Pain: Guidelines
for Assessment, Diagnosis, and Management/American Academy of Orofacial Pain, 6th ed.; De Leeuw, R.,
Klasser, G.D., Eds.; Quintessence Publishing Co. Inc.: Hanover Park, Germany, 2018; pp. 143–207.
7.
Lajnert, V.; Franciskovi´c, T.; Grzi´c, R.; Pavi ˇci´c, D.K.; Bakarbi´c, D.; Bukovi´c, D.; Celebi´c, A.; Braut, V.;
Fugosi´c, V. Depression, somatization and anxiety in female patients with temporomandibular disorders
(TMD). Coll. Antropol. 2010,34, 1415–1419. [PubMed]
8.
Wieckiewicz, M.; Zi˛etek, M.; Smardz, J.; Zenczak-Wieckiewicz, D.; Grychowska, N. Mental Status as a
Common Factor for Masticatory Muscle Pain: A Systematic Review. Front. Psychol. 2017,8. [CrossRef]
9.
International Association for the Study of Pain. Temporomandibular Didorders. Orofacial Pain Fact
Sheets 2016. Available online: URL:https://s3.amazonaws.com/rdcms-iasp/files/production/public/Content/
ContentFolders/GlobalYearAgainstPain2/20132014OrofacialPain/FactSheets/Temporomandibular_
Disorders_2016.pdf (accessed on 5 July 2020).
10.
Lobbezoo, F.; Ahlberg, J.; Raphael, K.G.; Wetselaar, P.; Glaros, A.G.; Kato, T.; Santiago, V.; Winocur, E.;
De Laat, A.; De Leeuw, R.; et al. International consensus on the assessment of bruxism: Report of a work in
progress. J. Oral Rehabil. 2018,45, 837–844. [CrossRef]
11.
Emodi Perlman, A.; Lobbezoo, F.; Zar, A.; Rubin, P.F.; Van Selms, M.K.A.; Winocur, E. Self-Reported bruxism
and associated factors in Israeli adolescents. J. Oral Rehabil. 2016,43, 443–450. [CrossRef]
12.
Van Selms, M.K.; Visscher, C.M.; Naeije, M.; Lobbezoo, F. Bruxism and associated factors among Dutch
adolescents. Commun. Dent. Oral Epidemiol. 2012,41, 353–363. [CrossRef]
13.
Winocur, E.; Messer, T.; Eli, I.; Emodi-Perlman, A.; Kedem, R.; Reiter, S.; Friedman-Rubin, P. Awake and
Sleep Bruxism Among Israeli Adolescents. Front. Neurol. 2019,10. [CrossRef]
14.
Manfredini, D.; Colonna, A.; Bracci, A.; Lobbezoo, F. Bruxism: A summary of current knowledge on aetiology,
assessment and management. Oral Surg. 2019. [CrossRef]
15.
Lobbezoo, F.; Lavigne, G.J.; Tanguay, R.; Montplaisir, J.Y. The effect of the catecholamine precursor L-Dopa
on sleep bruxism: A controlled clinical trial. Mov. Disord. 1997,12, 73–78. [CrossRef] [PubMed]
16.
Manfredini, D.; Arreghini, A.; Lombardo, L.; Visentin, A.; Cerea, S.; Castroflorio, T.; Siciliani, G. Assessment
of Anxiety and Coping Features in Bruxers: A Portable Electromyographic and Electrocardiographic Study.
J. Oral Facial Pain Headache 2016,30, 249–254. [CrossRef] [PubMed]
17.
Manfredini, D.; Fabbri, A.; Peretta, R.; Nardini, L.G.; Lobbezoo, F. Influence of psychological symptoms on
home-recorded sleep-time masticatory muscle activity in healthy subjects. J. Oral Rehabil.
2011
,38, 902–911.
[CrossRef]
18.
Manfredini, D.; Lobbezoo, F. Role of psychosocial factors in the etiology of bruxism. J. Oral Facial Pain
2009
,
23, 153–166.
19.
Pierce, C.J.; Chrisman, K.; Bennett, M.E.; Close, J.M. Stress, anticipatory stress, and psychologic measures
related to sleep bruxism. J. Oral Facial Pain 1995,9, 51–56.
20.
Winocur, E.; Uziel, N.; Lisha, T.; Goldsmith, C.; Eli, I. Self-reported Bruxism—Associations with perceived
stress, motivation for control, dental anxiety and gagging*. J. Oral Rehabil. 2010,38, 3–11. [CrossRef]
21.
Smardz, J.; Martynowicz, H.; Wojakowska, A.; Michalek, M.; Mazur, G.; Wieckiewicz, M. Correlation between
Sleep Bruxism, Stress, and Depression-A Polysomnographic Study. J. Clin. Med. 2019,8, 1344. [CrossRef]
22.
Wang, C.; Pan, R.; Wan, X.; Tan, Y.; Xu, L.; Ho, C.S.H.; Ho, R.C. Immediate Psychological Responses and
Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among
the General Population in China. Int. J. Environ. Res. Public Health 2020,17, 1729. [CrossRef]
23.
Almeida-Leite, C.M.; Barbosa, J.S.; Conti, P.C.R. How psychosocial and economic impacts of COVID-19
pandemic can interfere on bruxism and temporomandibular disorders? J. Appl. Oral Sci.
2020
,28, e20200263.
[CrossRef]
J. Clin. Med. 2020,9, 3250 14 of 15
24.
Lövgren, A.; Parvaneh, H.; Lobbezoo, F.; Häggman-Henrikson, B.; Wänman, A.; Visscher, C.M. Diagnostic
accuracy of three screening questions (3Q/TMD) in relation to the DC/TMD in a specialized orofacial pain
clinic. Acta Odontol. Scand. 2018,76, 380–386. [CrossRef] [PubMed]
25.
Lövgren, A.; Marklund, S.; Visscher, C.M.; Lobbezoo, F.; Häggman-Henrikson, B.; Wänman, A. Outcome
of three screening questions for temporomandibular disorders (3Q/TMD) on clinical decision-making.
J. Oral Rehabil. 2017,44, 573–579. [CrossRef] [PubMed]
26.
Manfredini, D.; Winocur, E.; Guarda-Nardini, L.; Paesani, D.; Lobbezoo, F. Epidemiology of bruxism in
adults: A systematic review of the literature. J. Oral Facial Pain 2013,27, 99–110. [CrossRef] [PubMed]
27.
Lobbezoo, F.; Ahlberg, J.; Glaros, A.G.; Kato, T.; Koyano, K.; Lavigne, G.J.; De Leeuw, R.; Manfredini, D.;
Svensson, P.; Winocur, E. Bruxism defined and graded: An international consensus. J. Oral Rehabil.
2012
,40,
2–4. [CrossRef] [PubMed]
28.
Yap, A.; Chua, A.P. Sleep bruxism: Current knowledge and contemporary management. J. Conserv. Dent.
2016,19, 383–389. [CrossRef]
29. Stanhope, J. Patient Health Questionnaire-4. Occup. Med. 2016,66, 760–761. [CrossRef]
30.
Petry, N.M. A comparison of young, middle-aged, and older adult treatment-seeking pathological gamblers.
Gerontologist 2002,42, 92–99. [CrossRef]
31.
Manfredini, D.; Serra-Negra, J.; Carboncini, F.; Lobbezoo, F. Current Concepts of Bruxism. Int. J. Prosthodont.
2017,30, 437–438. [CrossRef]
32.
Wright, E.F. Manual of Temporomandibular Disorders, 3rd ed.; Wiley-Blackwell: Ames, IA, USA, 2013; pp. 1–15.
33.
Wieckiewicz, M.; Grychowska, N.; Wojciechowski, K.; Pelc, A.; Augustyniak, M.; Sleboda, A.; Zi˛etek, M.
Prevalence and Correlation between TMD Based on RDC/TMD Diagnoses, Oral Parafunctions and
Psychoemotional Stress in Polish University Students. BioMed Res. Int. 2014,2014, 472346. [CrossRef]
34.
Wieckiewicz, M.; Grychowska, N.; Nahajowski, M.; Hnitecka, S.; Kempiak, K.; Charemska, K.; Balicz, A.;
Chirkowska, A.; Zietek, M.; Winocur, E. Prevalence and Overlaps of Headaches and Pain-Related
Temporomandibular Disorders Among the Polish Urban Population. J. Oral Facial Pain Headache
2020
,
34, 31–39. [CrossRef]
35.
Winocur, E.; Reiter, S.; Livine, S.; Goldsmith, C.; Littner, D. The prevalence of symptoms related to TMD and
their relationship to psychological status: A gender comparison among a non-TMD patient adult population
in Israel. J. Craniomandubular Funct. 2010,2, 39–50.
36.
Elran, M.; Even, S. Civilian Resilience in Israel and the COVID-19 Pandemic: Analysis of a CBS Survey.
INSS Insight, 17 May 2020. Available online: https://www.inss.org.il/publication/coronavirus-survey/
(accessed on 5 September 2020).
37.
Maciaszek, J.; Ciulkowicz, M.; Misiak, B.; Szczesniak, D.; Luc, D.; Wieczorek, T.; Fila-Witecka, K.;
Gawlowski, P.; Rymaszewska, J. Mental Health of Medical and Non-Medical Professionals during the
Peak of the COVID-19 Pandemic: A Cross-Sectional Nationwide Study. J. Clin. Med.
2020
,9, 2527. [CrossRef]
[PubMed]
38.
Wang, C.; Pan, R.; Wan, X.; Tan, Y.; Xu, L.; McIntyre, R.S.; Choo, F.N.; Tran, B.; Ho, R.C.; Sharma, V.K.; et al.
A longitudinal study on the mental health of general population during the COVID-19 epidemic in China.
Brain Behav. Immun. 2020,87, 40–48. [CrossRef] [PubMed]
39.
World Health Organization. Mental Health and Psychosocial Considerations during the COVID-19 Outbreak,
18 March 2020. Available online: https://apps.who.int/iris/handle/10665/License:CCBY-NC-SA3.0IGO
(accessed on 10 April 2020).
40.
Polak, P.; ´
Swi ˛atkiewicz-Mo´sny, M.; Wagner, A. Much Ado about nothing? The responsiveness of the
healthcare system in Poland through patients’ eyes. Health Policy
2019
,123, 1259–1266. [CrossRef] [PubMed]
41.
Moyser, M. Gender Differences in Mental Health during the COVID-19 Pandemic. Available online: https:
//www150.statcan.gc.ca/n1/en/pub/45-28-0001/2020001/article/00047-eng.pdf?st=NP3Kgs7n (accessed on
9 July 2020).
42.
Song, K.; Xu, R.; Stratton, T.D.; Kavcic, V.; Luo, D.; Hou, F.; Bi, F.; Jiao, R.; Yan, S.; Jiang, Y. Sex differences and
Psychological Stress: Responses to the COVID-19 epidemic in China. MedRxiv 2020. [CrossRef]
43.
Lavee, Y.; Katz, R. The Family in Israel: Between Tradition and Modernity. Marriage Fam. Rev.
2003
,35,
193–217. [CrossRef]
J. Clin. Med. 2020,9, 3250 15 of 15
44.
Gal, R. Social Resilience in Times of Protracted Crises: An Israeli Case Study. Armed Forces Soc.
2013
,40,
452–475. [CrossRef]
45.
Varshney, M.; Parel, J.T.; Raizada, N.; Sarin, S.K. Initial psychological impact of COVID-19 and its correlates
in Indian Community: An online (FEEL-COVID) survey. PLoS ONE 2020,15, e0233874. [CrossRef]
©
2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).