Abstract
Aims:
To explore the prevalence of clinically significant anxiety and depression in adult patients with chronic orofacial pain (COFP) conditions.
Methods:
A systematic online search of the Medline (PubMed) and Ovid databases was performed for articles published from 2006 to 2019. Observational studies—including cross-sectional, case-control, and case series—and longitudinal prospective studies were included. A total of 118 articles were selected for inclusion, and the prevalence rates of clinically significant anxiety and depression were summarized.
Results:
Most studies focused on temporomandibular disorder (TMD) pain and less often on neuropathic COFP conditions. Prevalence rates varied widely across studies according to OFP condition and assessment measure; most questionnaire-based assessments yielded rates of clinically significant depression and anxiety in, respectively, 40% to 60% and 40% to 65% of individuals with TMD and in 20% to 50% and 25% to 55% of patients with neuropathic, mixed, or idiopathic/atypical COFP conditions. Rates of anxiety and depression were lower in studies using diagnostic instruments and in TMD studies with nonpatient samples. Most controlled studies showed a higher prevalence of anxiety and depression in individuals with COFP than in those without. Higher COFP pain levels and the presence of comorbid conditions such as migraines or widespread pain increased the likelihood of anxiety and/or depressive symptoms in individuals.
Conclusion:
Clinically significant anxiety and depression were commonly observed in patients with COFP, were present at higher rates than in pain-free participants in controlled studies, and were closely linked to pain severity. More research is needed to evaluate the psychologic impact of multiple COFP conditions in an individual and the prevalence of precondition psychologic morbidity. J Oral Facial Pain Headache 2022;36:103–140. doi: 10.11607/ofph.3010
Keywords: anxiety, depression, neuropathic/nonneuropathic pain, orofacial pain, TMD
Orofacial pain is a noxious, painful experience in the region of the face and/or oral cavity.1 According to the International Association for the Study of Pain (IASP), pain is defined as “an unpleasant sensory and emotional experience associated with, or resembling that associated with, actual or potential tissue damage.”2 Chronic pain continues after the expected time of recovery.3 There is evidence that pre-existing psychologic factors can predict the onset of postsurgical chronic pain.4
Patients with chronic pain frequently undergo a change in their beliefs and cognitions, and these affective and cognitive pathways contribute to the sensory perception of pain.5 Over time, individuals with chronic pain may lose the capability to function optimally, and some may retire from work early.6 Nonorofacial chronic pain conditions can cause a significant degree of disability.7 In the United States, they are responsible for 21% of visits to accident and emergency departments and for 25% of absenteeism from work annually, significantly increasing the economic burden.8 Orofacial pain (OFP) is specifically linked to increased workday loss and excessive use of health care systems.9,10
The prevalence of OFP ranges from 17% to 26%, with up to 11% considered chronic orofacial pain (COFP).11 COFP is often associated with psychologic disorders, and there is a strong link between long-standing OFP and depression and anxiety symptoms, with subsequently impaired psychologic function.6 Pain management is limited without an acknowledgment of psychologic factors, and the recovery process is often compromised because differences in an individual’s psychologic predisposition result in differential responses to pain.12
The aim of this review was to investigate studies of psychologic functioning (ie, anxiety and depression) in patients with COFP, with consideration of both neuropathic and nonneuropathic COFP conditions.
Materials and Methods
The review protocol, including the search strategy, was registered with PROSPERO (International Prospective Register of Systematic Reviews, registration number: CRD42016043703).13 It was not possible to perform meta-analyses due to the heterogeneity of the included studies. The cumulative evidence from the included studies was assessed, summarized, and narrated.
Search Strategy and Selection Criteria
The present review included observational studies published between 2006 and 2019. These studies were cross-sectional, case series, and prospective and retrospective cohort studies. The information sources were the Medline (PubMed) and Ovid databases. Gray literature was searched via Google Scholar. Studies in the English language investigating at least one type of COFP condition in adults (aged 18 and older) and exploring psychologic factors such as depression, somatization, posttraumatic stress disorder, and catastrophizing were selected. Studies recruiting individuals under the age of 18 years and studies exploring dental and periodontal inflammatory conditions and their psychosocial impacts or influences were excluded.
Definitions
Chronic pain is defined as a pain that exceeds a duration of 3 months,3 and this definition was applied to COFP for the present study.
Psychology is defined as the scientific study of an individual’s behaviors and their mental processes.14 According to the World Health Organization (WHO), depression is a mental disorder that presents with depressed mood, loss of interest or pleasure, a decreased level of interest and concentration, disturbed sleep, lack of appetite, and feelings of hopelessness and worthlessness.15 Depression can often be associated with anxiety symptoms.15 Generalized anxiety disorder (GAD) was defined as 6 months of excessive worry about daily issues and may be associated with autonomic symptoms.15 State anxiety is a temporary emotional arousal to a perceived threat, and trait anxiety is a personality characteristic and pattern of response (with anxiety) to a threat.16 Phobias, obsessive-compulsive disorder, and panic disorders were included in anxiety disorders. A phobia is a constant and pronounced fear of a situation that can result in either avoidance or panic attacks.15
Search Terms
The keywords used were: psychosocial; psychologic; depression; psychiatric comorbidity; posttraumatic stress disorder (PTSD); and anxiety. These keywords were used with “OR” and “AND” with the following conditions: orofacial pain; temporomandibular joint pain/disorder; trigeminal neuralgia; trigeminal nerve injury; burning mouth syndrome; persistent dento-alveolar pain; atypical facial pain; and atypical odontalgia.
Outcome Measures
The objective of the present review was to investigate studies on anxiety and depression in patients with COFP and, more specifically, to identify the reported prevalence of anxiety and depression in affected individuals and their relationships with pain chronicity, pain severity, and demographic factors, such as gender and age.
Data Extraction
The initial search yielded 5,024 articles. Suitable articles were identified (n = 252) during title and abstract screening through the process of selection and filtration. Duplicates were removed. Full-text screening of 134 articles was carried out. Based on the inclusion and exclusion criteria, a total of 118 articles were selected (Fig 1).
Fig 1.

Flow diagram of study selection.
Initially, to establish their relevance for the review, one reviewer (A.K.) read the title and abstract of each article. After reading the abstract and ensuring that the article provided the necessary information for the review, the entire article was retrieved and read to further establish whether it fulfilled the eligibility criteria. Any study that was unclear about its inclusion criteria was read by the second (J.S.), third (L.M.), and fourth (T.R.) reviewers. After discussion, consensus was reached for all articles included. The bibliographies of the selected articles were also manually searched for additional studies.
The studies on COFP were categorized according to classification (diagnostic) system: the International Classification of Headache Disorders-3 (ICHD-3),17 the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD),18 and the IASP and American Academy of Orofacial Pain (AAOP).19,20 All studies were assessed on the following parameters: type of study, type of pain under investigation, sample size, psychologic scale used, psychologic comorbidities under investigation, the reported prevalence of psychologic comorbidities in each study, and the year of publication.
Meta-analyses were not considered appropriate, as there was an insufficient number of studies with a required level of homogeneity in study design, COFP population under study, and depression/anxiety scale or method of assessment used.21
Risk of Bias Assessment
This study used a method previously employed in systematic reviews of oral conditions to assess the risk of bias (RoB).22–24 Studies were evaluated on the following criteria: (1) Study group characteristics (whether consecutive or unselected patient selection was performed); (2) presence of an appropriate control group (sex- and age-matched); (3) prospective study or data collected purposely for the specific study; and (4) whether participants or the investigators were blinded if appropriate according to the study design.
The criteria were assessed as met, unmet, or unclear for each. Three factors were used to assess the study’s overall validity: (1) There is a low risk of bias because all of the criteria were met according to the study design; (2) There is a high risk of bias because at least one criterion was unmet or three criteria were unclear; (3) There is a moderate risk of bias because one or two criteria were unclear, or one or two criteria were not applicable according to study design. All four reviewers independently evaluated the RoB, and all studies were distributed equally among the reviewers.
Results
The defining characteristics and key findings of the included studies are summarized in Table 1.
Table 1.
Study Characteristics
| Study, y (country) | Study type | Orofacial pain group types and sample sizes, n | No. of patients (% gender distribution) | Psychosocial scales | Psychologic comorbidity | Prevalence, % | Reference no. |
|---|---|---|---|---|---|---|---|
| 1. Adamo et al, 2020 (Italy) | Cross-sectional | BMS: 52 | 52 (M: 19, F: 81) | HARS HDRS |
Anxiety Depression |
– – |
102 |
| 2. Bäck et al, 2020 (Sweden) | Cross-sectional | TMD with sev pain/TMD with headache cases: 82 Controls: 977 |
1,059 (F: 100) | HADS | Anxiety Depression |
Cases: 51.2 Controls: 21.2 Cases: 32.9 Controls: 7.2 |
71 |
| 3. Chang et al, 2019 (China) | Retrospective cross-sectional | TN cases: 45 Controls: 61 |
106 (M: 44, F: 56) | HARS HDRS |
Anxiety Depression |
– – |
110 |
| 4. Godazandeh et al, 2019 (UK) | Cross-sectional | TN: 68 TN with MS: 26 |
94 (TN M: 21, F: 79; TN with MS M: 23, F: 77) | HADS | Anxiety (Mild/Sev) Depression (Mild/Sev) |
TN: 63.3 (43.3/20.0) TN with MS: 53.9 (23.1/30.8) TN: 33.3 (15.0/18.3) TN with MS: 56.0 (16.0/40.0) |
111 |
| 5. Heinskou et al, 2019 (Denmark) | Prospective observational | TN after medicine intervention: 103 TN after surgical intervention: 50 |
103 (M: 35, F: 65) | Self-report survey | Anxiety and/or depression | TN after medicine intervention: 14.6 TN after surgical intervention: 14.0 |
109 |
| 6. Huttunen et al, 2019 (Finland) | Randomized controlled trial | TMD: 80 | 80 (M: 23, F: 77) | RDC/TMD | Depression (Mod/Sev) B | 42.5 (27.5/15.0) | 72 |
| 7. Jivnani et al, 2019 (India) | Cross-sectional | TMD pain and headaches: 15 TMD pain with disc displacement:19 No TMD: 34 |
68 (M: 49, F: 51) | HADS | Anxiety (BClin/Clin) Depression (BClin/Clin) |
TMD pain and headaches: 47.0 (27.0/20.0) TMD pain with disc displacement: 53.0 (42.0/11.0) No TMD: 6.0 (6.0/0.0) TMD pain and headaches: 66.0 (13.0/53.0) TMD pain with disc displacement: 63.0 (26.0/37.0) No TMD: 24.0 (18.0/6.0) |
73 |
| 8. Le Bris et al, 2019 (France) | Retrospective cohort | BMS: 38 | 38 (M: 16, F: 84) | Self-report questionnaire |
Depression symptoms | 50 | 101 |
| 9. Lira et al, 2019 (Brazil) | Cross-sectional | TMD cases: 92 Controls: 37 |
129 (F: 100) | HADS | Anxiety Depression |
– – |
74 |
| 10. Melek et al, 2019 (UK) | Cross-sectional | Ne: TN: 40 PTTN: 97 |
137 (M: 30, F: 70) | GAD-7 PHQ |
Anxiety (Clin) Depression (Mild-Mod/Mod-Sev to Sev) |
TN: 38.5 PTTN: 34.4 TN: 53.6 (35.7/17.9) PTTN: 35.9 (25.0/10.9) |
125 |
| 11. Yang et al, 2019 China |
Cross-sectional | BMS cases: 30 Controls: 18 |
48 (M: 17, F: 83) | ZSAS ZSDS |
Anxiety (Mild) Depression (Mild) Depression (Mod) |
BMS: 30 BMS: 50 BMS: 36.6 |
100 |
| 12. Adamo et al, 2018 (Italy) | Cross-sectional | BMS: 200 Controls: 200 |
400 (M: 17, F: 83) | HARS HDRS |
Anxiety (Mild-Mod) Anxiety (Mod-Sev) Depression (Mild) Depression (Mod-Sev) |
BMS: 27 BMS: 18 BMS: 32 BMS: 34 |
99 |
| 13. Daher et al, 2018 (Brazil) | Cross-sectional | TMD A: 10 TMD MP: 15 Controls: 10 |
35 (M: 20, F: 80) | HADS | Anxiety | – | 75 |
| 14. Di Stasio et al, 2018 (Italy) | Cross-sectional | BMS cases: 25 Controls: 24 |
49 (M: 13, F: 87) | STAI HDRS |
Anxiety Depression |
– – |
98 |
| 15. Fernandes Azevedo et al, 2018 (Brazil) | Cross-sectional | TMD cases: 38 Controls: 67 |
105 | STAI | St Anxiety (Mod) Tr Anxiety (Mod) |
TMD: 39.5 No TMD: 29.9 TMD: 36.8 No TMD: 46.3 |
76 |
| 16. Lee and Chon, 2020 (Korea) | Cross-sectional | BMS with sleep problems: 15 BMS without sleep problems: 10 |
25 (F: 100) | SCL-90-R | Anxiety Depression |
– – |
97 |
| 17. Miura et al, 2018 (Japan) | Retrospective cross-sectional | AO: 383 | 383 (M: 15, F: 85) | DSM-V ZSDS |
Anxiety Depression |
10.1 15.4 |
133 |
| 18. Moura et al, 2018 (Brazil) | Case-control | BMS cases: 15 Controls: 15 |
30 (M: 20, F: 80) | BAI BDI |
Anxiety (Mild/Mod) Anxiety (Mod) Depression BMS (Mod/Sev) |
BMS: 16.6/33.3 Controls: 13.3 BMS: 16.7/8.3 Controls: 0.0/0.0 |
96 |
| 19. Natu et al, 2018 (Singapore) | Cross-sectional | No TMD: 142 Mild TMD: 79 Mod TMD: 23 |
244 (M: 16, F: 84) | DASS-21 | Anxiety Depression |
– – |
77 |
| 20. Nazeri et al, 2018 (Iran) | Case-control | TMD MP and migraines: 50 TMD MP: 25 Migraines: 15 Controls: 38 |
128 (M: 24, F: 76) | HADS | Anxiety and/or depression | TMD MP and migraines: 90.0 TMD MP: 24.0 Migraines: 66.7 Controls: 31.6 |
78 |
| 21. Paulino et al, 2018 (Brazil) | Cross-sectional | TMD cases: 171 Controls: 132 |
303 (M: 31, F: 69) | HADS | Anxiety Depression |
TMD: 46.8 No TMD: 26.5 TMD: 10.5 No TMD: 9.1 |
79 |
| 22. Reiter et al, 2018 (Israel) | Cross-sectional | TMD | 163 (M: 25, F: 75) | GAD-7 PHQ-9 |
Anxiety (Mild/Mod/Sev) Depression (Mild/Mod/Sev) |
19.6/8.0/4.9 26.4/12.3/8.0 |
80 |
| 23. Sikora et al, 2018 (Croatia) | Cross-sectional | BMS cases: 43 Controls: 50 |
93 (M: 18, F: 82) | STAI BDI |
Anxiety Depression |
– – |
95 |
| 24. Sruthi et al, 2018 (India) | Cross-sectional | TMD MP: 27 TMD JP: 26 TMD mixed: 23 Controls: 24 |
100 (M: 46, F: 54) | DASS-42 | Anxiety Depression |
– – |
81 |
| 25. Tu et al, 2018 (Japan) | Cross-sectional | AO: 272 AO and BMS: 83 |
355 (M: 12, F: 88) | ZSDS | Depression | – | 124 |
| 26. Yoo et al, 2018 (Korea) | Cross-sectional | BMS cases: 50 Controls: 50 |
100 (M: 42, F: 58) | SCL-90-R | Anxiety Depression |
– – |
94 |
| 27. Mitsikostas et al, 2017 (Greece) | Case series | BMS: 8 | 8 (F: 100%) | HARS HDRS |
Anxiety (Mild-Mod) Anxiety (Mod-Sev) Dep (Mod-Sev) |
50.0 12.5 100 |
93 |
| 28. Naikoo et al, 2017 (India) | Case-control | TMD cases: 100 Controls: 100 |
220 (M: 36, F: 64) | HADS | Anxiety Depression |
TMD: 53.0 No TMD: 21.0 – |
82 |
| 29. Reiter et al, 2017 (Israel) | Cross-sectional | TMD: RDC: 142 DC: 157 |
299 (M: 24, F: 76) | RDC/TMD DC/TMD (GAD-7, PHQ-9) |
RDC Anxiety (Mod/Sev) RDC Depression (Mod/Sev) DC Anxiety (Mod/Sev) DC Depression (Mod/Sev) |
51.4 (27.9/23.5) 54.2 (29.6/24.6) 10.2 (7.6/2.6) 17.8 (9.6/8.2) |
83 |
| 30. Su et al, 2017 (China) | Cross-sectional | TMD low pain intensity n = 156 TMD high pain intensity n = 164 |
320 (M: 22, F: 78) | GAD-7 PHQ-9 |
Anxiety (Mild/Mod/Sev) Depression (Mild/Mod/Sev) |
Low pain: 23/8.9/2.5 High pain: 9.5/16.4/11.5 Low pain: 31.4/7.0/3.2 High pain: 26.8/15.8/17.7 |
84 |
| 31. Tan et al, 2017 (Malaysia) | Cross-sectional | TN: 75 | 75 (M: 31, F: 69) | HADS | Anxiety Depression |
41.3 24.0 |
108 |
| 32. Tournavitis et al, 2017 (Greece) | Cross-sectional | TMD: 75 | 75 (M: 48, F: 52) | STAI CES-D |
Anxiety Depression |
– – |
85 |
| 33. van Selms et al, 2017 (Netherlands) | Cross-sectional | TMD cases: 268 Controls: 254 |
522 (M: 14, F: 86) | GAD-7 PHQ-15 |
Anxiety Depression |
– – |
86 |
| 34. Yeung et al, 2017 (UK) | Cross-sectional | TMD: 162 | 162 (M: 20, F: 80) | GAD-7 PHQ-9 |
Anxiety (Mild/Mod/Sev) Depression (Mild/Mod/Sev) |
27/12/8 27/20/14 |
87 |
| 35. Zakrzewska et al, 2017 (UK) | Cross-sectional | TN no IMP: 155 TN with IMP: 32 TN with AN: 38 |
225 (M: 37, F: 63) | HADS | Anxiety (BClin/Clin) Depression (BClin/Clin) |
TN no IMP: 46.4 (21.5/25.2) TN with IMP: 40.7 (11.1/29.6) TN with AN: 77.8 (50.0/27.8) TN no IMP: 30.6 (15.3/15.3) TN with IMP: 29.6 (18.5/11.1) TN with AN: 55.5 (22.2/33.3) |
107 |
| 36. Bertoli and de Leeuw, 2016 (USA) | Cross-sectional | TMD: 1,241 | 1,241 (M: 12, F: 88) | SCL-90-R | Anxiety Depression |
28.9 30.4 |
70 |
| 37. Braud and Boucher, 2016 (France) | Cross-sectional | BMS: 18 | 18 (M: 6, F: 94) | HADS | Anxiety Depression |
38.8 33.3 |
139 |
| 38. das Neves de Araújo Lima et al, 2016 (Brazil) | Cross-sectional | BMS: 64 SOB: 99 |
163 (M: 19, F: 81) | BAI BDI |
Anxiety (Mild/Mod/Sev) Depression (Mild-Mod/Mod-Sev) |
BMS: 30.0/6.7/13.3 SOB: 20.0/10.0/0 BMS: 53.1/28.1 SOB: 16.1/6.0 |
138 |
| 39. Davies et al, 2016 (UK) | Cross-sectional | BMS: 30 Other oral conditions: 11 |
41 (M: 12, F: 88) | Customized questionnaire and clinical interviews | Anxiety Depression |
– – |
164 |
| 40. Duraçoğlu et al, 2016 (Turkey) | Cross-sectional | TMD: 273 | 273 (M: 22, F: 78) | HADS | Anxiety Depression Anxiety and/or depression |
31.1 40.7 49.8 |
67 |
| 41. Mousavi et al, 2016 (USA) | Cross-sectional | TN: 21 | 21 (M: 14, F: 86) | DSM-IV | Anxiety (Diag) Depression (Diag) |
52.3 42.8 |
137 |
| 42. Patil et al, 2016 (India) | Cross-sectional | Chronic TMD cases: 60 Controls: 60 |
120 (M: 25, F: 75) | BDI | Depression (BClin/Mod/Sev) | Cases: 30.0 (13.3/13.3/3.3) Controls: 10.0 (6.7/3.3/0.0) |
68 |
| 43. Sevrain et al, 2016 (France) | Retrospective | BMS: 35 | 35 (M: 9, F: 91) | HADS | Anxiety Depression |
54.3 25.7 |
92 |
| 44. Tang et al, 2016 (China) | Cross-sectional | TN: 167 | 167 (M: 40.7, F: 59.3) | BAI BDI |
Anxiety Depression |
20.4 72.5 |
134 |
| 45. Visscher et al, 2016 (Netherlands) | Retrospective | TMD: 112 | 112 (M: 13, F: 87) | SCL-90 | Depression | 25.8 | 69 |
| 46. Al-Havaz et al, 2015 (Iran) | Cross-sectional | TMD: 171 | 171 (M: 43, F: 57) | RDC/TMD | Depression (Mod-Sev) | TMD: 7.0 | 62 |
| 47. Brailo and Zakrzewska, 2015 (UK) |
Cross-sectional | TN: 48 TMD: 112 CIFP: 85 |
245 (M: 24, F: 76) | HADS | Anxiety (BClin/Clin) Depression (BClin/Clin) |
TN: 39.3 (17.9/21.4) TMD: 55.7 (26.2/29.5) CIFP: 38.5 (15.4/23.1) TN: 32.1 (25.0/7.1) TMD: 32.8 (19.7/13.1) CIFP: 42.3 (11.5/30.8) |
122 |
| 48. Kotiranta et al, 2015 (Finland) | Cross-sectional | TMD: 399 | 399 (M: 17, F: 83) | RDC/TMD (SCL-90-R) | Anxiety Depression |
– – |
63 |
| 49. Lei et al, 2015 (China) | Cross-sectional | TMD: MFP: 128 No MFP: 382 |
510 (M: 24, F: 76) | DASS-21 | Anxiety Depression |
TMD: 36.5 MFP: 62.5 No MFP: 27.7 TMD: 17.6 MFP: 31.3 No MFP: 13.1 |
64 |
| 50. Lopez-Jornet et al, 2015 (Spain) |
Cross-sectional | BMS cases: 70 Controls: 70 |
140 (M: 9, F: 91) | HADS | Anxiety Depression |
– – |
91 |
| 51. Majumder et al, 2015 (India) | Cross-sectional | TMD cases: 311 Controls: 689 |
1,000 (M: 45, F: 55) | HADS | Anxiety and/or Depression | TMD: 66.2 No TMD: 31.1 |
65 |
| 52. Marino et al, 2015 Italy |
Case-control | BMS cases: 58 Controls: 58 |
116 (M: 21, F: 79) | HARS MADRS |
Anxiety (Mild-Mod/Mod-Sev) Depression (Mild/Mod/Sev) |
BMS: 80.7 (31.6/49.1) BMS: 49.1 (47.3/1.8/0) |
136 |
| 53. Reiter et al, 2015 (Israel) | Retrospective observational | Acute TMD: 49 Chronic TMD: 139 |
207 (M: 24, F: 76) | RDC/TMD (SCL-90-R) | Anxiety (Mod/Sev) Depression (Mod/Sev) |
TMD: 54.1 (29.5/24.6) Acute: 44.9 (28.6/16.3) Chronic: 58.3 (30.2/28.1) TMD: 56.0 (33.3/22.7) Acute: 40.8 (26.5/14.3 Chronic: 61.2 (36.0/25.2) |
66 |
| 54. Tokura et al, 2015 (Japan) | Cross-sectional | BMS cases: 65 Controls: 116 |
181 (M: 19, F: 82) | BDI | Depression (Diag MDD) | BMS: 14 | 135 |
| 55. Wu et al, 2015 (Korea) | Retrospective cohort | TN cases: 3,273 Controls: 13,092 |
16,365 (M: 62, F: 38) | ICD-9 CM | Anxiety (Diag) Depression (Diag) |
TN: Cases: 1.8 Controls: 0.60 TN: Cases: 2.2 Controls: 0.79 |
106 |
| 56. Calixtre et al, 2014 (Brazil) | Longitudinal | TMD: 19 | 19 (M: 5, F: 94) | HADS | Anxiety Depression |
– – |
54 |
| 57. Cioffi et al, 2014 (Italy) | Cross-sectional | TMD/migraine: TMD MP: 676 Migraine: 39 TMD MP + migraine: 66 |
781 (M: 22, F: 78) | RDC/TMD (SCL-90) | Depression | – | 121 |
| 58. Davis et al, 2014 (USA) | Cross-sectional | TMD: 50 | 50 (M: 8, F: 92) | Psych Diag-(MR) STAI |
Anxiety (Diag) Depression (Diag) |
30.0 18.0 |
55 |
| 59. Gerrits et al, 2014 (Netherlands) | Longitudinal cohort | OFP: 13 | 614 (M: 39, F: 61) | DSM-IV CIDI version 2.1 |
Anxiety Depression |
– – |
131 |
| 60. Komiyama et al, 2014 (Japan) |
Cross-sectional | TMD: 1,437 | 1,437 (M: 29, F: 71) | RDC/TMD | Depression | – | 56 |
| 61. Minghelli et al, 2014 (Portugal) | Cross-sectional | TMD cases: 633 Controls: 860 |
1,493 (M: 32, F: 68) | HADS | Anxiety or depression | Cases: 61.4 Controls: 38.6 |
57 |
| 62. Reissmann et al, 2014 (Germany) |
Case-control | TMD cases: 320 Controls: 888 |
1,208 (M: 36, F: 64) | STAI RDC/TMD |
State Anxiety (Mod/Sev) Depression (Mod/Sev) |
Cases: 56.6 (25.3/31.3) Controls: 32.2 (22.2/10) Cases: 45.9 (20.6/25.3) Controls: 38.5 (16.9/21.6) |
58 |
| 63. Smriti et al, 2014 (India) | Cross-sectional | TMD cases: 27 Controls: 123 |
150 (M: 31, F: 69) | ZSAS | Anxiety (Mild-Mod) | TMD: 25.9 No TMD: 6.5 |
59 |
| 64. Sood et al, 2014 (India) | Cross-sectional | TMD cases: 104 Controls: 396 |
400 (M: 25, F: 75) | HADS | Anxiety Depression |
– – |
60 |
| 65. Vasudeva et al, 2014 (India) | Case-control | TMD cases: 255 Controls: 250 |
505 (M: 64, F: 36) | HADS | Anxiety (BClin/Clin) | TMD 55.9 (45.0/10.9) No TMD: 20.4 (19.2/0.8) |
61 |
| 66. Castelli et al, 2013 (Italy) | Case-control | TMD (chronic MP) cases: 45 Controls: 45 |
90 (F: 100) | BDI STAI-Y1 |
Anxiety Depression |
– – |
51 |
| 67. Chen et al, 2013 (USA) | Case-control, secondary analysis |
TMD: TMD cases, no pain: 14 TMD cases with chronic pain: 145 Controls: 131 |
290 (F: 100) | STAI SCL-90-R |
Anxiety Depression |
– – |
52 |
| 68. Ligthart et al, 2013 (Netherlands) | Longitudinal cohort | OFP: Facial pain: 401 (at 2-y follow-up) |
2,981 (total); (M: 34, F: 66) | BAI IDS-SR |
Anxiety Depression |
– – |
129 |
| 69. Ozdemir-Karatas et al, 2013 (Turkey) |
Cross-sectional | TMD: 104 | 104 (M: 38, F: 62) | RDC/TMD (SCL-90-R) | Depression | – | 53 |
| 70. Sipilä et al, 2013 (Finland) | Longitudinal cohort | Chronic OFP: Cases: 162 Controls: 200 Follow-up: 63 Follow-up controls: 85 |
Baseline: 362 Follow-up: 148 |
SCL-25 | Depression symptoms Depression (Diag) |
Baseline cases: 17.5 Controls: 7.0 Follow-up cases: 6.3 Controls: 1.2 |
130 |
| 71. Smith et al, 2013 (UK) | Cross-sectional | Ne: PPTN: 89 | 89 (M: 32, F: 68) | HADS | Anxiety (BClin/Clin) Depression (BClin/Clin) |
51.2 (17.5/33.7) 29.8 (14.3/15.5) |
105 |
| 72. de Lucena et al, 2012 (Brazil) | Longitudinal population-based prospective | TMD (two time periods; T1 and T2): Cases: 99 Controls: 54 |
153 (M: 46, F: 54) | HADS | Anxiety Depression |
Cases: T1 = 61.6/T2 = 60.6 Controls: T1 = 22.2/T2 = 37.0 Cases: T1 = 16.2/T2 = 26.3 Controls: T1 = 5.6/T2 = 14.8 |
45 |
| 73. de Souza et al, 2012 (Brazil) | Cross-sectional | BMS cases: 30 Controls: 31 |
61 (M: 3, F: 97) | MINI-Plus HDRS BDI STAI |
Anxiety (Diag) Depression (Diag) |
Cases: 36.7 Controls: 9.7 Cases: 46.7 Controls: 12.9 |
89 |
| 74. Diniz et al, 2012 (Brazil) | Longitudinal cohort | Baseline TMD: 20 Controls: 35 Follow-up TMD: 28 Follow-up controls: 27 |
55 | BAI | Anxiety (Mild/Mod-Sev) | Baseline TMD: 65.0 (55.0/10) Follow-up TMD: 64.3 (18.6/39.3) |
46 |
| 75. Guarda-Nardini et al, 2012 (Italy) | Cross-sectional | Acute TMD: 51 Chronic TMD: 59 |
110 (M: 19, F: 81) | HARS HDRS SCL-90-R |
Anxiety Depression (Mod-Sev) |
– TMD (acute and chronic): 48.0 (30–18) |
47 |
| 76. Kindler et al, 2012 (Germany) | Prospective cohort | TMD: TMD JP: 122 No TMD JP: 2,884 TMD MP: 50 No TMD MP: 2,984 |
6,040 (M: 49, F: 51) | CID-S | Anxiety symptoms Depression symptoms |
JP: 64.8 No JP: 47.1 MP: 78.0 No MP: 47.3 JP: 49.2 No JP: 28.3 MP: 46.0 No MP: 29.0 |
48 |
| 77. Komiyama et al, 2012 (Japan) |
Cross-sectional | Ne: BMS: 282 (acute: 169, chronic: 113) TN n = 83 (acute: 43, chronic: 40) |
365 (M: 20, F: 80) | RDC/TMD (SCL-90-R) | Depression | – | 120 |
| 78. Rodrigues et al, 2012 (Brazil) | Cross-sectional | TMD: TMD pain: 54 TMD no pain: 129 |
183 (M: 42, F: 58) | RDC/TMD | Depression (Mod/Sev) | TMD: 41.5 (30.2/11.3) | 49 |
| 79. Schiavone et al, 2012 (Italy) |
Cross-sectional | BMS: Chronic BMS: 53 Controls: 51 |
104 (M: 30, F: 70) | HDRS STAI-Y1/Y2 |
Anxiety Depression |
– – |
90 |
| 80. Schwahn et al, 2012 (Germany) | Cross-sectional | TMD: 3,904 | 3,904 (M: 50, F: 50) | CID-S | Depression | – | 50 |
| 81. Wan et al, 2012 (Hong Kong) | Cross-sectional | OFP: CD: 200 IE: 200 |
400 | GHQ-12 | Psychologic distress | CD: 4 IE: 11.0 |
128 |
| 82. Celić et al, 2011 (Croatia) | Cross-sectional | Acute TMD: 126 Chronic TMD: 28 |
154 (M: 24, F: 76) | RDC/TMD (SCL-90-R) | Depression (Sev) | TMD (acute and chronic): 19.5 | 40 |
| 83. Dworkin, 2011 (Italy, Israel, Amsterdam) | Cross-sectional | TMD: 1,149 | 1,149 (M: 20, F: 80) | SCL-90-R | Depression (Mod-Sev) | 45.4 | 41 |
| 84. Gustin et al, 2011 (Australia) | Case-control | Ne/TMD: TNP: 24 TMD: 21 Controls: 38 |
83 (M: 24, F: 76) | STAI BDI |
Anxiety Depression |
– – |
16 |
| 85. Mačianskytė et al, 2011 (Lithuania) | Cross-sectional | Ne/IP: TN + Chronic facial pain: 30 ATFP: 30 |
60 (M: 15, F: 85) | CAS BDI |
Anxiety Depression (Mod/Sev) |
– TN: 76.7 (46.7/30.0) ATFP: 0 |
118 |
| 86. Monteiro et al, 2011 (Brazil) | Cross-sectional | Chronic TMD: 49 Controls: 101 |
150 (M: 78, F: 22) | STAI | State anxiety Trait anxiety |
– – |
42 |
| 87. Taiminen et al, 2011 (Finland) | Cross-sectional | Ne/IP: BMS: 40 ATFP: 23 |
63 (M: 10, F: 90) | SCID-I | Anxiety (Diag) Depression (Diag) |
BMS: 47.5 ATFP: 30.4 BMS: 35 ATFP: 26 |
119 |
| 88. van Seventer et al, 2011 (UK, Netherlands, Canada) |
Secondary analysis of a randomized controlled trial | Ne (posttraumatic peripheral neuropathic pain): TN: unknown |
254 (M: 49, F: 51) | HADS | Anxiety Depression |
– – |
104 |
| 89. Velly et al, 2011 (USA) | Prospective cohort | TMD chronic pain onset (GCPS I): 261 Pain prognosis (GCPS II-IV): 309 |
Baseline: 570 (M: 15, F: 85) – |
BDI | Depression (Mod/Sev), baseline | TMD: 10.3 GCPS I: 7.0 GCPS II-IV: 14.0 |
43 |
| 90. Xu et al, 2011 (China) | Cross-sectional | TMD: 162 | 162 (F: 100) | SCL-90-R | Anxiety Depression |
7.4 11.7 |
44 |
| 91. Bakhtiari et al, 2010 (Iran) | Cross-sectional | BMS: BMS: 50 Controls: 50 |
100 (M: 17, F: 83) | CAS | State anxiety Trait anxiety |
– – |
103 |
| 92. Giannakopoulos et al, 2010 (Germany) |
Case-control | TMD: MP: 88 JP: 43 NonTMD facial pain: 45 Controls n = 46 |
222 (M: 27, F: 73) | HADS | Anxiety Depression |
– – |
35 |
| 93. Kim et al, 2010 (Korea) | Cross-sectional | TMD: TMD trauma: 34 TMD no trauma: 340 |
374 (M: 29, F: 71) | SCL-90-R | Anxiety Depression |
– – |
116 |
| 94. Lajnert et al, 2010 (Croatia) | Cross-sectional | Acute TMD: 30 Chronic TMD: 30 Controls: 30 |
90 (F: 100) | RDC/TMD | Depression (Mod/Sev) | Acute: 52.7 (28.0/24.7) Chronic: 77.4 (30.0/6.0) Controls: 36.0 (30.0/6.0) |
36 |
| 95. Manfredini et al, 2010a (Italy) |
Cross-sectional | TMD: 11 | 111 (M: 19, F: 81) | RDC/TMD (SCL-90-R) | Depression (Mod/Sev) | 41.4 (1.8/39.6) | 37 |
| 96. Manfredini et al, 2010b (Italy, Israel, Netherlands) |
Cross-sectional | Acute TMD: 293 Chronic TMD: 856 |
1,149 (M: 20, F: 80) | RDC/TMD (SCL-90) | Depression (Mod/Sev) | Acute: 45.0 (23.1/21.9) Chronic: 47.7 (25.1/22.6) |
38 |
| 97. McMillan et al, 2010 (Hong Kong) | Cross-sectional, case-control | OFP cases: 200 Controls: 200 |
400 (M: 36, F: 64) | SCL-90 | Depression | Cases: 31.0 Controls: 11.0 |
127 |
| 98. Pesqueira et al, 2010 (Brazil) | Cross-sectional, case-control | TMD cases: 61 Controls: 89 |
150 | STAI RDC/TMD |
State anxiety Trait anxiety |
– – |
39 |
| 99. Takenoshita et al, 2010 (Japan) |
Cross-sectional IASP |
Ne/IP: BMS: 125 AO: 37 |
162 (M: 13, F: 87) | SDS Psych Diag MR |
Depressive tendencies Depression (Diag) Anxiety (Diag) |
BMS: 32.1 AO: 33.3 BMS: 32.0 AO: 21.6 BMS: 9.6 AO: 10.8 |
117 |
| 100. Bonjardim et al, 2009 (Brazil) |
Cross-sectional | TMD cases: 98 Controls: 98 |
196 (M: 49, F: 51) | HADS | Anxiety (BClin/Clin) Depression (BClin) |
TMD: 43.9 (26.5/17.3) No TMD: 24.5 (21.4/3.1) TMD: 6.6 No TMD: 3.1 |
31 |
| 101. Choi et al, 2009 (Korea) | Retrospective | Ne/PIFP/TMD: TN: 8 Ne: 9 PIFP: 8 TMD: 138 (TMD MP: 73, TMD JP: 24, TMD MP + JP: 41) |
163 (M: 40, F: 60) | HADS | Anxiety Depression |
– – |
115 |
| 102. Gao et al, 2009 (China) | Case-control | BMS cases: 87 Controls: 82 |
169 (M: 24, F: 76) | SAS SDS |
Anxiety Depression |
– – |
165 |
| 103. Licini et al, 2009 (Italy) | Cross-sectional | TMD: 308 | 308 (M: 25, F: 75) | RDC/TMD | Depression (Mod/Sev) | 65.7 (13.3/52.6) | 32 |
| 104. Macfarlane et al, 2009 (UK) |
Prospective cohort | TMD: OFP in young adults: 78 |
337 (M: 43, F: 57) | CES-D PSS |
Depression | OFP: 33.3 No OFP: 18.9 |
33 |
| 105. Stavrianos et al, 2009 (UK) | Prospective cohort | TMD: 22 | 22 (M: 36, F: 64) | IAS | Heart phobia Cancer phobia |
– – |
34 |
| 106. Streffer et al, 2009 (Switzerland) | Cross-sectional | OF: 102 | 102 (M: 22, F: 78) | HADS | Anxiety (BClin/Clin) Depression (BClin/Clin) |
51.7 (33/18.7) 32.6 (16.9/15.7) |
126 |
| 107. Baad-Hansen et al, 2008 (Denmark) |
Cross-sectional | TMD: 41 AO: 46 |
87 (M: 17, F: 83) | SCL-90-R | Depression | – | 113 |
| 108. Ballegaard et al, 2008 (Denmark) | Cross-sectional | TMD/headache: TMD with headache: 55 Headache without TMD: 44 |
99 (M: 23, F: 76) | RDC/TMD | Depression (Mod-Sev) | TMD with headache: 70.9 Headache without TMD: 34.1 |
123 |
| 109. Buljan et al, 2008 (Croatia) | Cross-sectional | BMS cases: 42 Controls: 78 |
120 (M: 39, F: 61) | BAI SDS |
Anxiety Depression |
– – |
88 |
| 110. Castro et al, 2008 (Brazil) | Cross-sectional | TN: 15 TMD: 15 |
30 (M 27, F: 73) | HADS | Anxiety Depression |
– – |
114 |
| 111. Lee et al, 2008 (China) | Cross-sectional | TMD: 87 | 87 (M: 12, F: 88) | RDC/TMD | Depression (Mod/Sev) | 42.5 (26.4/16.1) | 29 |
| 112. Reissmann et al, 2008 (Germany) |
Cross-sectional | TMD: 225 | 225 (M: 14, F: 86) | RDC/TMD | Depression | 47.6 (21.8–25.7) | 30 |
| 113. Bertoli et al, 2007 (USA) | Retrospective | TMD: 445 | 445 (M: 9, F: 91) | SCL-90-R | Depression | – | 26 |
| 114. John et al, 2007 (Germany) | Cross-sectional | Chronic TMD: 416 | 416 (M: 21, F: 79) | RDC/TMD Axis II | Depression (Mod/Sev) | 46.2 (19.7/26.5) | 27 |
| 115. List et al, 2007 (Sweden) | Case-control | AO cases: 46 Controls: 35 |
81 (M: 22, F: 78) | SCL-90-R | Depression (Mod/Sev) | Cases: 74 (26.0/48.0) Controls: 54 (37.0/17.0) |
132 |
| 116. Mongini et al, 2007 (Italy) | Cross-sectional | TMD/OFP: TMD MP: 462 TMD A: 70, Ne (TN + PNe): 68 FPD: 49 |
649 (M: 22, F: 78) |
SCID-DSM-IV | Anxiety (Diag) Depression (Diag) |
TMD MP: 33.5 TMD A: 15.7 Ne: 16.2 FPD: 30.6 TMD MP: 22.3 TMD A: 15.7 Ne: 10.3 FPD: 44.9 |
112 |
| 117. Nifosi et al, 2007 (Italy) | Cross-sectional | TMD MFP: 19 TMD JP: 26 TMD MFP + JP: 18 |
63 (M: 25, F: 75) | SCID-DSM-IV HARS HDRS SCL-90-R |
Anxiety (Diag) Depression (Diag) Anxiety and depression symptoms |
TMD: 15.9 TMD: 20.6 – |
28 |
| 118. GaldÓn et al, 2006 (Spain) | Cross-sectional | TMD MP: 58 TMD A: 56 |
114 (M: 11, F: 89) | BSI-18 | Anxiety General distress |
– – |
25 |
Note: Only percentages of psychologic functioning impact of orofacial pain conditions were included (at the decimal point level presented in study papers).
AN = autonomic symptoms; AO = atypical odontalgia; ATFP = atypical facial pain; BAI = Beck Anxiety Inventory (BAI); BClin = borderline clinically significant; BDI = Beck Depression Inventory; BMS = Burning Mouth Syndrome; BSI-18 = Brief Symptom Inventory-18; CAS = Covi Anxiety Scale; CD = community dwellers; CES-D = Centre for Epidemiological studies Scale; CIDI = Composite International Diagnostic Interview; CID-S = Composite International Diagnostic-Screener; CIFP = chronic idiopathic facial pain; Clin = clinically significant (Clin); DASS-21 = Depression, Anxiety and Stress Scale; DC/TMD = Diagnostic Criteria for Temporomandibular Disorders; Diag = diagnosis; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders; FPD = facial pain disorder; GAD-7 = Generalized Anxiety Disorder questionnaire; GCPS = Graded Chronic Pain Scale (grades I to IV); GHQ = General Health Questionnaire; HADS = Hospital Anxiety and Depression Scale; HARS = Hamilton Anxiety Rating Scale; HDRS = Hamilton Depression Rating Scale; IAS = Illness Attitude Scale (IAS); ICD-9 = International Classification of Diseases, 9th Revision; IDS-SR = Inventory of Depressive Symptomatology; IE = institutionalized elderly; IMP = intermittent pain; IP = idiopathic pain; JP = TMD joint pain; MADRS = Montgomery-Åsberg Depression Rating Scale; MDD = major depressive disorder; MFP/MP = myofascial pain/TMD muscle pain; MINI-Plus = International Neuropsychiatric Interview; MR = medical record; MS = multiple sclerosis; Ne = neuropathic pain; OFP = orofacial pain; PHQ = Patient Health Questionnaire; PIFP = persistent idiopathic facial pain; PNe = persistent neuropathic pain; PPTNI = painful posttraumatic nerve injury; PSS = Perceived Stress Scale; Psych Diag = psychiatric diagnosis; RDC/TMD = Research Diagnostic Criteria/Temporomandibular Disorders Axis II questionnaire; SAS/SDS = self-rating anxiety/depression scale; SCID = Structured Clinical Interview for DSM-IV; STAI (Y1/Y2) = State-Trait Anxiety Inventory (Form 1/Form 2); SCL-25 = Symptom Checklist-25; SCL-90-R = Symptom Checklist-90-Revised; SOB = secondary oral burning; TMD A = arthrogenous TMD; TNP = trigeminal neuropathic pain; TN = trigeminal neuralgia; ZSAS = Zung Self Rating Anxiety Scale; ZSDS = Zung Self-Rating Depression Scale.
Participant Characteristics
Diagnosis
The majority of included studies (n = 63) focused exclusively on TMD pain25–67,69–87,116,121,123 and its impact on psychologic wellbeing (ie, anxiety/depression). Thirty-three studies recruited patients with a single neuropathic pain condition (23 burning mouth syndrome [BMS],88–103,120,135,136,138,139,164,165 2 posttraumatic neuropathic pain [PTNP],104,105 and 8 trigeminal neuralgia [TN]).106–111,134,137 Eleven studies compared patients with various types of OFP conditions16,112–115,117,119,120,122,124,125; these included studies comparing BMS to TN; PTNP/TN to TMDs; idiopathic continuous orofacial neuropathic pain to TMDs; TN to TMDs; TMDs to migraine and headaches (ie, neurovascular pain); TN to atypical facial pain, hereby referred to as persistent idiopathic facial pain (PIFP); and BMS to atypical odontalgia (AO), hereby referred to as persistent idiopathic dentoalveolar pain (PDAP). Seven studies focused on COFP in general (where pain types were not specified),56,126–131 and 2 recruited patients with AO.132,133 Sample sizes across all studies ranged from 8 to 3,904 participants.
Gender
With the exception of a clinical trial on PTNP patients, where gender was evenly distributed,104 mixed-gender studies involving clinical COFP populations employed samples that predominantly comprised women (range: 60% to 97%), with the exception of two studies where women were in the minority (36% and 38%).61,106 Eight studies included women (TMDs and BMS) only.36,44,51,52,71,74,93,97 Aside from a community survey of elderly people (77% women),128 studies recruiting patients from the (general) health care population tended to have a small majority of women (range: 51% to 64%).31,48,58,131 The age range of the study population across most studies was 18 to 80 years, except for one where the upper limit was 100 years.118
Study Design
A total of 86 studies were cross-sectional in design, 25,27–32,34,36–42,44,47,49,50,53,55–57,59,60,62–65,67–71,73–77,79–81,83–91,94,95,97–100,102,103,105,107,108,110–114,116–124,126–128,133,134 and 11 were longitudinal prospective studies. 33,43,45,46,48,54,109,111,129–131 Ten were designed as case-control,16,35,51,52,58,61,78,82,96,132 8 were retrospective, 26,66,92,101,106,110,115,133 1 was a case series,93 and 2 were clinical trials.72,104 An exception was made to include the 2 clinical trials, as these studies measured the postintervention association between the level of pain experienced and the degree of observed anxiety and depression.
Study Characteristics
A total of 67 studies 16,28,31,35,44,45,47,48,51,52,54,55,57,58,60,64–67,70,71,73,74,77,79–100,102,104–112,114–116,118,119,122,125,126,129,131,133 investigated the association of COFP with anxiety and depression, 9 studies25,39,42,46,59,61,75,76,103 with anxiety only, 31 studies26,27,29,30,32,33,36–38,40,41,43,49,50,53,56,62,63,68,69,72,101,113,117,120,121,123,124,127,130,132 with depression only, 1 with psychologic distress, 128 and 1 with hypochondriacal beliefs.34 Seventy-seven27–33,36–38,40–49,55,57–62,64–73,76,78–80,82–84,87,89,92,93,96,99–101,105–109,111,112,117–119,122,123,125–130,132,133,135–139 provided prevalence data for anxiety and/or depression, although 3 studies did not report prevalence rates separately for COFP and non-OFP groups. 42,60,129 Most of the research was carried out in Europe (n = 56), followed by Asia (n = 38), Latin America (n = 15), the USA (n = 6), and Australia (n = 1), while 2 spanned across continents. There were 33 (28.0%) low RoB studies and 27 (22.9%) high RoB studies; almost half of the studies (n = 58 [49.2%]) had a moderate risk of bias (Table 2).
Table 2.
Risk of Bias of Individual Studies
| Study | Study design | Study group | Control group | Prospective design | Blinded | Cumulative risk of bias | Reference no. |
|---|---|---|---|---|---|---|---|
| 1. Adamo et al, 2020 | Cross-sectional | Met | Met | Met | N/A | Low | 102 |
| 2. Bäck et al, 2020 | Cross-sectional | Unmet | Met | Met | N/A | High | 71 |
| 3. Chang et al, 2019 | Retrospective cross-sectional | Met | Met | Unmet | N/A | High | 110 |
| 4. Godazandeh et al, 2019 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 111 |
| 5. Heinskou et al, 2019 | Prospective observational | Met | N/A | Met | N/A | Moderate | 109 |
| 6. Huttunen et al, 2019 | Randomized controlled trial | Met | Met | Met | N/A | Low | 72 |
| 7. Jivnani et al, 2019 | Cross-sectional | Met | Met | Met | N/A | Low | 73 |
| 8. Le Bris et al, 2019 | Retrospective cohort | Met | N/A | Unclear | N/A | Moderate | 101 |
| 9. Lira et al, 2019 | Cross-sectional | Unclear | Unmet | Met | N/A | High | 74 |
| 10. Melek et al, 2019 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 125 |
| 11. Yang et al, 2019 | Cross-sectional | Met | Unclear | Met | N/A | Moderate | 100 |
| 12. Adamo et al, 2018 | Cross-sectional | Met | Met | Met | N/A | Low | 99 |
| 13. Daher et al, 2018 | Cross-sectional | Unmet | Unclear | Met | N/A | High | 75 |
| 14. Di Stasio et al, 2018 | Cross-sectional | Met | Met | Met | N/A | Low | 98 |
| 15. Fernandes Azevedo et al, 2018 | Cross-sectional | Met | Unclear | Met | N/A | Moderate | 76 |
| 16. Lee and Chon, 2020 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 97 |
| 17. Miura et al, 2018 | Retrospective cross-sectional | Met | N/A | Unmet | N/A | High | 133 |
| 18. Moura et al, 2018 | Case-control | Met | Met | Met | N/A | Low | 96 |
| 19. Natu et al, 2018 | Cross-sectional | Unmet | Met | Met | N/A | High | 77 |
| 20. Nazeri et al, 2018 | Case-control | Met | Met | Met | N/A | Low | 78 |
| 21. Paulino et al, 2018 | Cross-sectional | Met | Unmet | Met | N/A | High | 79 |
| 22. Reiter et al, 2018 | Cross-sectional | Met | Unmet | Unmet | N/A | High | 80 |
| 23. Sikora et al, 2018 | Cross-sectional | Met | Met | Met | N/A | Low | 95 |
| 24. Sruthi et al, 2018 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 81 |
| 25. Tu et al, 2018 | Cross-sectional | Met | Met | Unmet | N/A | High | 124 |
| 26. Yoo et al, 2018 | Cross-sectional | Met | Met | Met | N/A | Low | 94 |
| 27. Mitsikostas et al, 2017 | Case series | Met | N/A | Met | N/A | Moderate | 93 |
| 28. Naikoo et al, 2017 | Case-control | Met | Met | Met | N/A | Low | 82 |
| 29. Reiter et al, 2017 | Cross-sectional | Met | Met | Met | N/A | Low | 83 |
| 30. Su et al, 2017 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 84 |
| 31. Tan et al, 2017 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 108 |
| 32. Tournavitis et al, 2017 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 85 |
| 33. van Selms et al, 2017 | Cross-sectional | Met | Met | Met | N/A | Low | 86 |
| 34. Yeung et al, 2017 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 87 |
| 35. Zakrzewska et al, 2017 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 107 |
| 36. Bertoli and de Leeuw, 2016 | Cross-sectional | Met | N/A | Unmet | N/A | High | 70 |
| 37. Braud and Boucher, 2016 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 139 |
| 38. das Neves de Araújo Lima et al, 2016 | Cross-sectional | Met | Unclear | Met | N/A | Moderate | 138 |
| 39. Davies et al, 2016 | Cross-sectional | Met | Unclear | Met | N/A | Moderate | 164 |
| 40. Duraçoğlu et al, 2016 | Cross-sectional | Met | Unmet | Met | N/A | High | 67 |
| 41. Mousavi et al, 2016 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 137 |
| 42. Patil et al, 2016 | Cross-sectional | Met | Met | Met | N/A | Low | 68 |
| 43. Sevrain et al, 2016 | Retrospective study | Unmet | NA | Met | NA | High | 92 |
| 44. Tang et al, 2016 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 134 |
| 45. Visscher et al, 2016 | Retrospective study | Unmet | N/A | Unmet | N/A | High | 69 |
| 46. Al-Havaz et al, 2015 | Cross-sectional | Unmet | N/A | Met | N/A | High | 62 |
| 47. Brailo and Zakrzewska, 2015 |
Cross-sectional | Unclear | N/A | Met | N/A | Moderate | 122 |
| 48. Kotiranta et al, 2015 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 63 |
| 49. Lei et al, 2015 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 64 |
| 50. Lopez-Jornet et al, 2015 | Cross-sectional | Met | Met | Met | N/A | Low | 91 |
| 51. Majumder et al, 2015 | Cross-sectional | Unmet | N/A | Met | N/A | High | 65 |
| 52. Marino et al, 2015 | Case-control | Met | Met | Met | N/A | Low | 136 |
| 53. Reiter et al, 2015 | Retrospective observational | Met | N/A | Unmet | N/A | High | 66 |
| 54. Tokura et al, 2015 | Cross-sectional | Met | Met | Met | N/A | Low | 135 |
| 55. Wu et al, 2015 | Retrospective cohort | Unmet | Met | Met | N/A | High | 106 |
| 56. Calixtre et al, 2014 | Longitudinal study | Unmet | NA | Met | NA | High | 54 |
| 57. Cioffi et al, 2014 | Cross-sectional | Unmet | N/A | Met | N/A | High | 121 |
| 58. Davis et al, 2014 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 55 |
| 59. Gerrits et al, 2014 | Longitudinal cohort | Unmet | N/A | Met | N/A | High | 131 |
| 60. Komiyama et al, 2014 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 56 |
| 61. Minghelli et al, 2014 | Cross-sectional | Unmet | N/A | Met | N/A | High | 57 |
| 62. Reissmann et al, 2014 | Case-control | Met | Unclear | Met | N/A | Moderate | 58 |
| 63. Smriti et al, 2014 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 59 |
| 64. Sood et al, 2014 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 60 |
| 65. Vasudeva et al, 2014 | Case-control | Met | Met | Met | N/A | Low | 61 |
| 66. Castelli et al, 2013 | Case-control | Met | Met | Met | N/A | Low | 51 |
| 67. Chen et al, 2013 | Case-control | Met | Met | Met | N/A | Low | 52 |
| 68. Ligthart et al, 2013 | Longitudinal cohort | Met | N/A | Met | N/A | Low | 129 |
| 69. Ozdemir-Karatas et al, 2013 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 53 |
| 70. Sipilä et al, 2013 | Longitudinal cohort | Met | Met | Met | N/A | Low | 130 |
| 71. Smith et al, 2013 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 105 |
| 72. de Lucena et al, 2012 | Longitudinal prospective | Met | Unclear | Met | N/A | Moderate | 45 |
| 73. de Souza et al, 2012 | Cross-sectional | Met | Met | Met | N/A | Low | 89 |
| 74. Diniz et al, 2012 | Longitudinal cohort | Met | N/A | Met | N/A | Moderate | 46 |
| 75. Guarda-Nardini et al, 2012 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 47 |
| 76. Kindler et al, 2012 | Prospective cohort | Met | N/A | Met | N/A | Moderate | 48 |
| 77. Komiyama et al, 2012 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 120 |
| 78. Rodrigues et al, 2012 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 49 |
| 79. Schiavone et al, 2012 | Cross-sectional | Met | Met | Met | N/A | Low | 90 |
| 80. Schwahn et al, 2012 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 50 |
| 81. Wan et al, 2012 | Cross-sectional | Unclear | N/A | Met | N/A | Moderate | 128 |
| 82. Celić et al, 2011 | Cross-sectional | Unclear | N/A | Met | N/A | Moderate | 40 |
| 83. Dworkin, 2011 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 41 |
| 84. Gustin et al, 2011 | Case-control | Met | Met | Met | N/A | Low | 16 |
| 85. Mačianskytė et al, 2011 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 118 |
| 86. Monteiro et al, 2011 | Cross-sectional | Unmet | N/A | Met | N/A | High | 42 |
| 87. Taiminen et al, 2011 | Cross-sectional | Unclear | N/A | Met | N/A | Moderate | 119 |
| 88. van Seventer et al, 2011 | Secondary analysis of a randomized clinical trial | Met | Met | Met | Met | Low | 104 |
| 89. Velly et al, 2011 | Prospective cohort | Met | N/A | Met | N/A | Moderate | 43 |
| 90. Xu et al, 2011 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 44 |
| 91. Bakhtiari et al, 2010 | Cross-sectional | Met | Met | Met | N/A | Low | 103 |
| 92. Giannakopoulos et al, 2010 | Case-control | Met | Unclear | Met | N/A | Moderate | 35 |
| 93. Kim et al, 2010 | Cross-sectional | Met | Unclear | Met | N/A | Moderate | 116 |
| 94. Lajnert et al, 2010 | Cross-sectional | Met | Met | Met | N/A | Low | 36 |
| 95. Manfredini et al, 2010a | Cross-sectional | Met | N/A | Met | N/A | Moderate | 37 |
| 96. Manfredini et al, 2010b | Cross-sectional | Met | N/A | Met | N/A | Moderate | 38 |
| 97. McMillan et al, 2010 | Cross-sectional | Met | Met | Met | N/A | Low | 127 |
| 98. Pesqueira et al, 2010 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 39 |
| 99. Takenoshita et al, 2010 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 117 |
| 100. Bonjardim et al, 2009 | Cross-sectional | Unmet | N/A | Met | N/A | High | 31 |
| 101. Choi et al, 2009 | Retrospective | Unclear | N/A | Unmet | N/A | High | 115 |
| 102. Gao et al, 2009 | Case-control | Met | Met | Met | N/A | Low | 165 |
| 103. Licini et al, 2009 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 32 |
| 104. Macfarlane et al, 2009 | Prospective cohort | Unmet | N/A | Met | N/A | High | 33 |
| 105. Stavrianos et al, 2009 | Prospective cohort | Met | N/A | Met | N/A | Moderate | 34 |
| 106. Streffer et al, 2009 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 126 |
| 107. Baad-Hansen et al, 2008 | Cross-sectional | Met | Met | Met | N/A | Low | 113 |
| 108. Ballegaard et al, 2008 | Cross-sectional | Met | N/A | Met | Met | Low | 123 |
| 109. Buljan et al, 2008 | Cross-sectional | Unmet | N/A | Unclear | N/A | High | 88 |
| 110. Castro et al, 2008 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 114 |
| 111. Lee et al, 2008 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 29 |
| 112. Reissmann et al, 2008 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 30 |
| 113. Bertoli et al, 2007 | Retrospective | Unmet | N/A | Unmet | N/A | High | 26 |
| 114. John et al, 2007 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 27 |
| 115. List et al, 2007 | Case-control | Met | Met | Met | N/A | Low | 132 |
| 116. Mongini et al, 2007 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 112 |
| 117. Nifosi et al, 2007 | Cross-sectional | Met | N/A | Met | Met | Low | 28 |
| 118. GaldÓn et al, 2006 | Cross-sectional | Met | N/A | Met | N/A | Moderate | 25 |
COFP Assessment Criteria
Of the included studies, 97% followed an established diagnostic criteria/classification system for the COFP conditions. These included the RDC/TMD,25–30,32,34–42,47,49,52–54,56,58,61–64,66,68,70,73,75,76,78,80,81,83,84,86,87,114,115,121,123 the Helkimo Clinical Dysfunction Index for TMD,31,33,57,59,60,65,77,79 the International Headache Society (IHS) ICHD-3 criteria, 78,89,91,93,94,96,97,99,100,102,108,109,112,115,122–125,129,133 the AAOP criteria,46,48,50,51,112,114 the IASP criteria, 90,107,114,115,117,120 the Craniomandibular Index (CMI), 43,116 and the European Academy of Craniomandibular Disorders (EACD) criteria.45 The Liverpool criteria for trigeminal nerve pain were used in one study,16 while another used the Ma and Zhang classification for TMD pain.44
Psychologic Screening Tools Used
The State-Trait Anxiety Inventory (STAI) was used by 14 studies,16,39,42,51,52,55,58,76,85,89,90,95,98,164 the Zung Self-Rating Depression Scale (ZSDS) used by 6 studies,88,100,117,124,133,165 and the Zung Self-Rating Anxiety Scale (ZSAS) used by 3 studies.59,100,165 A total of 69 studies used a single psychologic tool, while 49 used a combination of psychologic assessment tools. The RDC/TMD Axis II questionnaire 25–27,29,32,36–41,47,49,53,56,58,62,63,66,70,72,83,121,123,132 was used exclusively for TMD pain, the Symptom Checklist-90-Revised (SCL-90-R) 26,28,37,38,40,41,44,47,52,53,63,66,69,70,94,97,113,116,120,121,127 was used to assess psychologic symptoms/distress, and the Hospital Anxiety and Depression Scale (HADS) 31,35,45,54,57,60,61,65,67,71,73–75,78,79,91,92,104,105,107,111,114,115,122,126 was most commonly used to screen for anxiety and/or depression. Five studies used the Structured Clinical Interview for Diagnosis-Diagnostic and Statistical Manual of Mental Disorders (SCID-DSM-4/5) guide. 28,112,119,131,133
Prevalence of Anxiety and Depression in Patients with COFP
The prevalence of depression and/or anxiety in COFP, according to COFP group and assessment instrument, are summarized in Figs 2 and 3. With respect to standardized questionnaire assessments, rates were included only for those patients evidencing moderate or severe symptoms (where questionnaires included an umbrella classification of mild to moderate, patients scoring in this range were also considered), or, in the case of HADS, those showing borderline clinical or clinically significant levels. Where studies included assessments at two time points, only the first was included.
Fig 2.
(a) Depression and (b) anxiety across TMD studies. Studies are ordered according to TMD condition, depression/anxiety measure, and percentage of depression/anxiety reported. DD = disc displacement; HA = headache. See other abbreviations in Table 1 legend.
Fig 3.
Rates of (a) depression and (b) anxiety across neuropathic, mixed, and idiopathic/atypical orofacial pain (OFP) condition studies. Studies are ordered according to OFP condition, depression/anxiety measure, and percentage of depression/anxiety reported. CH = chronic; FP = facial pain. See other abbreviations in Table 1 legend.
For TMDs, the prevalence of observed depression ranged from 7.0% to 77.4% (Fig 2a). In general, studies using the RDC/TMD or SCL-90-R assessments reported the most consistent prevalence rates, with 14 of 20 (70%) studies observing depression in 41.4% to 56.0% of participants. Studies adopting other standardized questionnaires (eg, HADS/Beck Depression Inventory [BDI]) reported lower rates of depression, although this varied considerably across studies, while diagnostic assessments of depression were consistently around 20% (15.7% to 22.3%). Rates of clinically significant anxiety in TMD also varied widely across studies (7.4% to 78.0%; Fig 2b), although the observed prevalence in studies using the RDC/TMD and SCL-90-R or the HADS assessments were more comparable, with 11 of 14 studies adopting one of the measures and yielding anxiety case rates between 43.9% and 63.0% with either measure. The single study that estimated the prevalence of anxiety using the CID-S48 reported high rates of anxiety in both TMD MP (78.0%) and TMD JP (64.8%). In contrast, the GAD-7 questionnaire assessments of TMD anxiety80,84,87 resulted in lower prevalence rates, ranging from 11.4% to 20.0%. Notably, irrespective of assessment method, studies with a low prevalence of depression and/or anxiety tended to recruit nonclinical samples31,46,62,79 or TMD samples with low pain disability levels,44 while higher rates were observed in clinical studies of patients with TMD and headache.73,123
The prevalence of depression and anxiety for neuropathic, mixed, and idiopathic/atypical COFP conditions ranged from 2.2% to 100% and from 0% to 80.7%, respectively (Fig 3). Rates of depression and anxiety varied widely in TN samples, with low prevalence rates reported in studies using diagnostic assessments106,112 and higher rates in TN with associated comorbidities, such as chronic facial pain118 and MS.111 Prevalence rates of depression and anxiety in BMS were more consistent. Aside from one small clinical study of 8 patients with treatment-resistant BMS that observed depression in all patients,93 questionnaire-based assessments yielded moderate to severe symptoms for a quarter to a half of BMS patients across studies. Clinically significant levels of anxiety in BMS were highest in studies using the Hamilton Anxiety Rating Scale (HARS) and HADS (39.3% to 80.7%)92,93,136,139 assessments and lowest in those employing the Beck Anxiety Inventory (BAI; 21.0% to 33.3%).96,138 Three of the four BMS studies with diagnostic assessments reported anxiety disorders in a third to a half of participating patients.89,117,119 In one study of PTNP pain, clinically significant anxiety was found in 51.2% of individuals and depression in 30.0% of cases.105 Depression in AO was reported at 74.0% in one study using the SCL-90-R,132 but at only 15.4% in a diagnostic assessment study.133 Similarly, rates of diagnosed anxiety disorders in PDAP samples were uncommon in two studies (10.1% to 10.8%).117,133
Prevalence of Anxiety and Depression in COFP Conditions vs Control Participants
A number of studies comparing prevalence rates in TMD and control participants reported significantly higher rates of anxiety,31,45,58,59,61,71,73,79,82 depression,36,58,68,71,73 or anxiety and/or depression57,65 in individuals with TMD. One TMD study of dental students failed to find significant differences in state and trait anxiety between those with and without TMD,76 while another three studies of pre-university/university students reported significantly higher anxiety prevalence rates in TMD cases vs controls, but nonsignificant elevations in depression.31,45,79 Significantly higher rates of depression were also observed in studies comparing mixed COFP patients to individuals without OFP.33,127,130
Although studies comparing mean scores of standardized questionnaires assessing anxiety and depression in neuropathic COFP conditions, such as TN or BMS, against control participants have reported elevated scores in the former (indicative of greater levels of symptoms of anxiety/depression),91,102,110 fewer controlled studies have compared prevalence rates of clinically relevant anxiety or depression. However, two controlled studies observed significantly elevated rates of both anxiety and depressive disorders in patients with TN106 and BMS,89 while another study comparing BMS and secondary oral burning patients reported elevated rates of moderate to severe depression according to the BDI in BMS, but comparable rates of anxiety according to the BAI.138 Finally, one study comparing PDAP and control participants found significantly more of the PDAP patients showed moderate to severe depression levels.132
Single-Study Comparisons of Different COFP Conditions
Thirteen studies compared two or more types of COFP conditions.16,112–115,117–122,124,125 In one study, neuropathic pain (TN and trigeminal neuropathy) and TMD pain patients were significantly (but comparably) impaired in domains of anxiety (state and trait anxiety) and depression when compared to controls.16 Another study reported that TN patients showed numerically higher scores on measures of psychologic impairment than TMD patients, although there were no statistically significant differences between the two groups.114 When TN and PIFP were investigated, it was observed that TN patients evidenced significantly higher levels of pain perception than PIFP patients and were significantly more likely to exhibit moderate to severe depression levels (76% vs 0%).118 Another study reported that BMS and PIFP demonstrated comparable levels of depressive symptoms.119 Komiyama et al compared patients with BMS and TN and reported that pain levels were higher in TN than BMS. However, regression analyses indicated the associated risk of depression in BMS patients was significantly higher than in TN patients.120 Takenoshita et al investigated mood in COFP patients (BMS and PDAP) using the Zung Self-Rating Depression Scale and observed depressive tendencies in 32.1% of BMS patients and 33.3% of individuals with PDAP.117 The large-scale study of Gerrits et al on chronic pain suggested the onset of anxiety and/or depression with pain and observed that pain specifically in the orofacial region was associated with depressive symptoms.131 A study on BMS and PIFP using SCID guides reported high rates of psychiatric disorders, most commonly major depression (30.2%), social phobia (15.9%), specific phobia (11.1%), and panic disorder (7.9%); in these cases, illness runs a chronic course and is difficult to treat.119 Another study on TMD pain using the same interview technique exhibited frequent presence of psychiatric history in myofascial pain patients.28 Melek et al compared TN to peripheral painful traumatic trigeminal neuropathy (PPTTN), and depression was reported in 54% of TN and 36% of PPTTN, while anxiety was comparable in both groups (34% and 39%, respectively).125
Association Between Orofacial Pain Severity and Chronicity with Anxiety and Depression
The majority of selected studies (with both neuropathic and nonneuropathic pain samples) demonstrated that an increase in pain intensity and/or pain chronicity (more than 3-month duration)3 elevated patients’ anxiety and depressive symptom levels.
Neuropathic Orofacial Pain
For patients with neuropathic pain, consistent associations of anxiety and depression with pain intensity were identified. For example, patients with severe trigeminal nerve injury pain showed elevated levels of depression on the HADS compared to patients with moderate and mild pain levels in one study.105 In another study, change in posttraumatic peripheral neuropathic pain levels was significantly associated with change in anxiety and depression levels104; every 2-point decrease in level of pain on a 0–10 numeric rating scale was associated with a 1.5-point reduction in anxiety and a 1.2-point reduction in depression on the HADS.104 BMS patients also demonstrated a positive association between levels of depression and BMS symptom severity.88 Additionally, one study found an association between presence of anxiety symptoms and pain severity among elderly individuals with neuropathic pain (BMS).103
TMD Pain
For TMD pain, cases were divided into acute and chronic by some investigators for comparison. Depression was more prevalent in patients with chronic TMD pain,36,40,43,66,69 and severity of depression and anxiety increased with higher graded chronic pain scores.44,47,49,63,66,68,116 Su et al compared TMD patients with high- and low-intensity pain and reported marked differences in prevalence of both moderate to severe anxiety (27.9% vs 11.4%) and moderate to severe depression (33.5% vs 10.2%).84 Multiple pain sites were also associated with higher levels of depression in another study.40 A number of investigators also reported significant associations between anxiety levels and chronic TMD pain,31,39,42,58,61,70 most predominantly for the myofascial subtype of TMD.25,45,48,64 Patients with TMD pain, especially muscle pain, presented with more psychologic problems compared to patients with TMD joint pain in one study.28 Moderate-to-severe anxiety and depression in chronic TMD were reported as high as 58.3% and 61.2%, respectively, in another study.66
Some studies with TMD patients reported significant associations between the level of physical/psychologic disability and pain intensity using a hierarchical pain grading approach (Graded Chronic Pain Scale [GCPS]), which classifies pain/disability into four broad categories: grade I (low pain intensity/low disability); grade II (high intensity/low disability); grade III (moderately limiting pain/high disability); and grade IV (severely limiting pain/high disability).140 For example, in one study, psychologic impact tended to be greater in patients with grade III or IV pain, and anxiety was identified in 53.8% of these individuals and depression in 76.9% of these individuals44; in another study, severe depression was prevalent in 40.7% of patients with grade III or IV pain.38
Orofacial Pain, Gender/Age, and Anxiety and Depression
Most, but not all, studies considering gender suggested women with OFP may report higher levels of anxiety or depressive symptoms than men. For example, in one study, younger (under the age of 24 years) and middle aged (between 35 and 55 years) women with OFP scored higher on a depression scale compared to men of similar ages.56 Licini et al32 reported that moderate to severe depression was evident in 56.1% of women with TMD pain compared to only 10% of men. Women with chronic TMD myofascial pain also scored marginally higher on a depression scale than men in another study,35 although men with other chronic facial painful conditions (postsurgical pain, posttraumatic, or neuropathic pain) and not specifically TMD pain were more depressed compared to women.35 In contrast, Giannakopoulos et al did not find any differences in anxiety between men and women with TMD, suggesting poorer psychologic well-being in women is not uniformly observed in studies of OFP.35
Impact of Comorbid Conditions on Anxiety and Depression in Individuals with Orofacial Pain
Both neuropathic and nonneuropathic (ie, TMD) OFP can coexist with other medical conditions, such as degenerative disease, migraine, and widespread pain, and the reviewed studies suggest that their presence can increase the likelihood of significant psychologic disability in affected individuals.30,71,78,111,113,119,121,123,127,129 For example, a study of acute TMD subtypes showed that individuals with muscle and joint pain, along with a history of degenerative joint disorder, have significantly higher levels of depression compared to those with a single condition.30 The study by Cioffi et al on TMD pain and migraine found that individuals with a combination of chronic TMD myofascial pain and migraine were experiencing significantly higher levels of depression compared to isolated TMD groups.121 Ballegaard et al studied depressive symptoms in patients with headache and compared them to patients having headache and comorbid TMD, reporting that 34.1% of headache patients had depressive symptoms compared to more than 70% (70.9%) of those with headache and comorbid TMD pain.123
A similar pattern of results emerged from studies on neuropathic OFP. For instance, Lopez-Jornet et al observed a positive association among BMS, poor sleep quality, and comorbid anxiety/depression (as measured using HADS). Regression analyses indicated that for every 1-point increase in HADS depression score, the odds of sleep quality deterioration increased by 1.26 times.91 McMillan et al found that while patients with OFP were 3.5 times more likely to exhibit moderate to severe depression than control participants, psychologic distress was observed most often in individuals with OFP who had widespread pain symptoms; these patients constituted 13.5% of their OFP sample.127
Discussion
The purpose of this study was to review research describing anxiety and depression in patients with neuropathic and/or nonneuropathic OFP. The results showed that experience of OFP is associated with both anxiety and depression that can be disabling in nature and markedly influences individuals’ emotional well-being. This review of 118 studies identified positive associations between pain intensity, chronicity, and symptom severity and the presence of anxiety and/or depression. The prevalence of clinically significant or moderate to severe anxiety in neuropathic, mixed, and idiopathic/atypical orofacial pain conditions ranged from 0% to 80.7% of cases, while the prevalence of clinically significant or moderate to severe depression ranged from 2.2% to 100% of cases. In nonneuropathic (ie, TMD) pain conditions, the observed ranges were also wide; anxiety ranged from 7.4% to 78.0% of cases, and depression from 7.0% to 77.4% of cases. The large variance in the observed rates across studies likely reflects the differential methods of assessment and/or nature of the recruited samples in the included studies. For TMD conditions, the majority of RDC/TMD or SCL-90-R assessments yielded depression rates of around 40% to 60%, and most RDC/TMD, SCL-90-R, or HADS assessments resulted in an anxiety prevalence of 40% to 65%; diagnostic assessments of depression and anxiety suggested disorder rates of 15% to 20% and 15% to 35%, respectively. Irrespective of assessment method, the lowest observed prevalence rates were in TMD studies employing student samples rather than clinical populations. The majority of questionnaire-based assessment in patients with TN yielded rates of depression and anxiety of around 20% to 35% and 40% to 55%, respectively, with lower rates in studies reporting diagnostic assessments, while questionnaire-based assessments of depression and anxiety in BMS studies showed moderate-severe symptoms in a quarter to a half of patients, with similar rates reported in most diagnostic studies of BMS patients.
The association between pain and depression is complicated due to their common neurobiology, complex environmental influences, and negative cognitions.141 Neurotransmitters such as serotonin, norepinephrine, glutamate, and gamma-Aminobutyric acid (GABA) are intimately linked with pain processing as well as mood.141 For instance, serotonin and norepinephrine reduction are associated with an impeded gate control mechanism and mood disorder progression.142 The present review identified a close association between COFP and psychologic comorbidities. This is in line with available literature, where psychologic factors are now recognized as important comorbid features in the presentation of OFP.143,144 All types of pain are influenced by psychologic components; however, negative affect appears particularly important in the emergence and maintenance of chronic pain syndromes.145,146 COFP has a profound influence on the psychologic health of individuals; this includes anxiety, stress, phobias, depressive symptoms, catastrophizing, and emotional disturbances,12 as well as oral health–related quality of life.9 Increased pain intensity also negatively impacts quality of life.10 The American Psychiatric Association (APA) has recognized that mental illnesses such as anxiety disorders, somatoform disorders, and mood disorders are closely related to medical conditions, including hypersensitive pain perception.145 TMD myofascial pain patients are more likely to have higher levels of psychologic symptoms.147 This concurs with the findings of a recent systematic review reporting the frequent cooccurrence of psychiatric disorders and masticatory muscle pain.148
Pain perception and experience differ considerably across individuals and vary according to gender. The overrepresentation of women in OFP pain samples, especially in studies of TMD pain, was illustrated in this review. Furthermore, gender differences in the few studies directly addressing the role of gender in psychologic correlates of OFP suggested that both anxiety and depression are more often observed in women with TMD pain than in men with TMD pain. There are reports that estrogen may have a role in the pain-regulatory mechanisms of TMD pain subgroups.149 However, this needs further investigation. The impact of gender on comorbid anxiety and/or depression in individuals with neuropathic OFP is less clear and needs to be addressed in future studies.
The present review also suggests that individuals presenting with multiple pain conditions are more likely to have pronounced psychologic problems.121,123,131 More specifically, across reviewed studies, individuals with multiple OFP conditions were more likely to have severe negative psychologic impairment, most obviously high levels of depression, compared to those with single conditions. Similar findings have been reported in the OFP literature150 and are broadly consistent with studies of body pain, where patients with widespread chronic pain (eg, fibromyalgia) often present with marked negative affective and cognitive states.151
There was a substantial degree of variability in the designs and associated RoBs of studies included in this review, which contributed to the difficulty in arriving at a consensus. Eleven studies used a longitudinal prospective design, 10 were designed as case-control, and 8 were retrospective. The absence of (pain-free) control groups was a frequent shortcoming of studies included in this review. Nevertheless, the overwhelming majority of studies (46) where a control sample was employed evidenced higher rates of anxiety and/or depression in OFP patients (neuropathic, mixed OFP, and TMD) compared to pain-free controls.16,132 The only exception to this was a small number of TMD studies which recruited student (nonpatient) populations in which the individuals diagnosed with TMD were not currently receiving or seeking treatment.31,45,76,79
Most studies, particularly those with neuropathic OFP samples, were conducted at tertiary care units through opportunity sampling. Of course, patient recruitment from a tertiary care unit may not be representative of the general population, reducing the generalizability and external validity of the included studies. More specifically, this may have resulted in overpresentation of anxiety and/or depression in individuals with OFP. Most studies (n = 86) were cross-sectional, where the data were collected at a single point in time, rendering it difficult to differentiate between cause and effect through simple association.152 As such, from this review, a clear association on the etiologic pathway could not be established; specifically, whether pain resulted in psychologic morbidity or vice versa. However, both pain and psychologic morbidity are related to a common etiologic factor (for example, early psychologic or physical trauma could predispose individuals to both pain and psychologic distress in the future), and it is important to consider that a number of studies have suggested that a range of premorbid psychologic variables can predict the development of OFP, particularly TMD.153,154 However, the available evidence suggests a bidirectional relationship between anxiety and/or depression and pain,155 supported in part by functional neuroimaging studies suggesting shared underlying neuro mechanisms.156
Significant variation in the use of psychologic tools for data collection was found. Various self-report questionnaires were utilized, and the majority of studies did not make a distinction between acute and chronic pain, although most of the patients included in studies had OFP for more than 3 months. This may have affected the validity of the data due to variation in personal characteristics, level of patients’ education, their ethnicity, culture, and social beliefs.157 The majority of studies in the current review employed only a single psychologic scale, and most adopted the questionnaire-specific cut-off points for cases of anxiety or depression, which remain difficult to interpret across measures. For example, comparisons between the State-Trait Anxiety Inventory (STAI)-State158 can be made with HADS, but a compelling comparison dataset is as yet not available,35 and STAI-Trait also includes a number of depression items related to depressive symptomatology.159 Few studies have used the SCID-DSM-IV,28,112,119,131 which is a formal diagnostic tool, as opposed to questionnaires such as HADS, which better serve as screening instruments (ie, do not allow for definite diagnoses) and provide dimensional rather than categorical representations of mood.160 More research is needed through employment of a standardized set of questionnaires and screening tools that also address wider psychologic and social aspects of psychologic function in patients with OFP.
Notable differences emerged in the diagnostic procedures of COFP conditions across studies, inasmuch as there were several classification systems used that do not entirely concur with one another; therefore, results across different studies with OFP samples are not completely comparable. Literature on OFP classifications has discussed this issue in detail,143,161 emphasizing the need for a standardized biopsychosocial classification of OFP, which is highlighted again in the present review.
Limited datasets were considered for this review, and only English-language articles were searched, reducing the scope of reviewed studies. Nevertheless, the review demonstrated substantive evidence for associations of anxiety and depression with both neuropathic and nonneuropathic OFP conditions. Both within and across studies, no meaningful differences in anxiety or depression levels between patients with neuropathic conditions and those with nonneuropathic (ie, TMD) pain were found,16,121 consistent with broader evidence that the psychologic impact of chronic pain is universal irrespective of neuropathic or nociceptive characteristics of experienced symptoms.162 Differences in the study designs and psychologic assessment tools employed may have limited the ability to detect differential rates of psychologic comorbidities according to presenting OFP symptoms. Due to the heterogeneity of the studies, meta-analyses were not possible, although this does reduce the strength of the findings. Nevertheless, the present results are consistent with the hypothesis that OFP conditions have an impact on the psychologic well-being of individuals and are meaningful in the context of formulating treatment strategies.
Conclusions
OFP has a significant impact on patients’ psychologic well-being. This critical review, within its limitations, highlighted an association between OFP and psychologic comorbidity. Due to the heterogeneity across studies, it was not possible to conduct meta-analyses in order to substantiate this evidence in a robust manner. Most work to date involves patients with TMD pain (nonneuropathic), and much less concerns other types of pain, such as neurovascular, neuropathic, and idiopathic OFP. OFP requires a biopsychosocial approach for holistic management.163 Future research should focus on comparing psychologic morbidity in different types of COFP with a view to develop more tailored treatment strategies for individuals according to presenting symptomatology. There is also a need for studies exploring precondition psychologic morbidity, which may have a significant role in predisposing individuals to developing chronic pain.4,142
Clinical Implications
COFP causes distress and disability, affects life negatively, and often leads to anxiety and/or depression and extensive use of the health care system. Holistic management for OFP requires a biopsychosocial approach.
Acknowledgments
No funding body supported this work.
The authors declare no conflicts of interest.
Author contributions: A.K., J.G.S., L.M., and T.R. designed the review. A.K. extracted the articles, and J.G.S., L.M., and T.R. confirmed the relevance. A.K. and J.G.S. contributed to the write-up of the manuscript. L.M. and T.R. checked the draft. All authors commented on the manuscript draft and approved the final draft.
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