| Literature DB >> 35160041 |
Orit Winocur-Arias1, Efraim Winocur2, Tamar Shalev-Antsel2, Shoshana Reiter1, Shifra Levartovsky2, Alona Emodi-Perlman2, Pessia Friedman-Rubin2.
Abstract
AIM: To evaluate the effect of the current coronavirus pandemic on the prevalence of bruxism, oral parafunctions and painful Temporo-Mandibular Disorders (TMDs) and to evaluate the influence of the pandemic on both sexes.Entities:
Keywords: COVID-19; awake bruxism; gender; oral parafunctions; painful temporomandibular disorders; sleep bruxism
Year: 2022 PMID: 35160041 PMCID: PMC8837112 DOI: 10.3390/jcm11030589
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.964
Sex comparison regardless time of examination.
| Men | Women | ||
|---|---|---|---|
| Parafunction | 78 (50.3%) | 62 (46.6%) | NS |
| Pain in jaw function | 15 (9.7%) | 26 (19.5%) | NS |
| Pain on awakening | 17 (11.1%) | 16 (12%) | NS |
| Reported TMD pain | 27 (17.5%) | 41(30.8%) | 0.042 |
| Pain on Temporal area | 25 (16.3%) | 32 (24.1%) | NS |
| Sleep bruxism | 36 (23.4%) | 36 (27.5%) | NS |
| Awake bruxism | 43 (27.9%) | 53 (40.5%) | NS |
NS, nonsignificant; p^, level of significance after Bonferroni correction (Pearson Chi-Square and Fisher’s Exact Test were performed).
Demographic comparison according to sex and time of examination.
| Total | Pre-COVID-19 | COVID-19 | |
|---|---|---|---|
| Sex: | |||
| Male | 155 (53.8%) | 59 (54.6%) | 96 (53.3%) |
| Female | 133 (46.2%) | 49 (45.4%) | 84 (46.67%) |
| Age (years): | |||
| (Mean ± SD) | 35.6 (12.4) | 35 (11.45) | 36.0 (12.92) |
| Median | 32 | 31 | 32 |
| Age (years): | |||
| Male (Mean ± SD) | 33.9 (11.00) | 33.7 (10.28) | 34.0 (18.81) |
| Female (Mean ± SD) | 37.6 (13.58) | 36.5 (12.55) | 38.2 (14.11) |
Pre-COVID-19, pre-pandemic era group; COVID-19, pandemic era group; SD, standard deviation.
Sex comparison according to sex and time of examination.
| Men | Women | |||||||
|---|---|---|---|---|---|---|---|---|
| Pre-COVID-19 | COVID-19 | Total | Pre-COVID-19 | COVID-19 | Total | |||
| Parafunction | 17 (28.8%) | 61 (63.5%) | 78 (50.3%) | <0.001 | 12 (24.5%) | 50 (59.5%) | 62 (46.6%) | <0.001 |
| Pain in jaw function | 1 (1.7%) | 14 (14.7%) | 15 (9.7%) | NS | 8 (16.3%) | 18 (21.4%) | 26 (19.5%) | NS |
| Pain on awakening | 3 (5.2%) | 14 (14.7%) | 17 (11.1%) | NS | 3 (6.1%) | 13 (15.5%) | 16 (12%) | NS |
| Reported TMD pain | 10 (16.9%) | 17 (17.9%) | 27 (17.5%) | NS | 19 (38.8%) | 22 (26.2%) | 41 (30.8%) | NS |
| Pain on Temporal area | 7 (12.1%) | 18 (18.9%) | 25 (16.3%) | NS | 11 (22.4%) | 21 (25%) | 32 (24.1%) | NS |
| Sleep bruxism | 10 (16.9%) | 26 (27.4%) | 36 (23.4%) | NS | 6 (12.2%) | 30 (36.6%) | 36 (27.5%) | 0.014 |
| Awake bruxism | 10 (16.9%) | 33 (34.7%) | 43 (27.9%) | NS | 7 (14.3%) | 46 (56.1%) | 53 (40.5%) | <0.001 |
NS, nonsignificant; Pre-COVID-19, pre-pandemic era group; COVID-19, pandemic era group; p^, level of significance after Bonferroni correction (Pearson Chi-Square and Fisher’s Exact Test were performed).
Sleep and awake bruxism according to sex and time of examination.
| No BRX | AB | SB | AB + SB | |||
|---|---|---|---|---|---|---|
| Men | Pre-COVID-19 | 43 (72.9%) | 6 (10.2%) | 6 (10.2%) | 4 (6.8%) | 0.036 |
| COVID-19 | 47 (49.5%) | 22(23.2%) | 15 (15.8%) | 11 (11.6%) | ||
| Total | 90 (58.4%) | 28(18.2%) | 21 (13.6%) | 15 (9.7%) | ||
| Women | Pre-COVID-19 | 39 (79.6%) | 4 (8.2%) | 3 (6.1%) | 3 (6.1%) | <0.001 |
| COVID-19 | 26 (31.7%) | 26(31.7%) | 10 (12.2%) | 20 (24.4%) | ||
| Total | 65 (49.6%) | 30 (22.9%) | 13 (9.9%) | 23 (17.6%) |
Pre-COVID-19, pre-pandemic era group; COVID-19, pandemic era group; p, level of significance; * Pearson Chi-Square; No BRX, no bruxism; SB, sleep Bruxism; AB, awake bruxism.