| Literature DB >> 35197672 |
Harsh U Manerkar1, Aradhana Nagarsekar2, Ridhima B Gaunkar3, Vikas Dhupar4, Manisha Khorate1.
Abstract
AIM: To assess the oxygen saturation in DHCWs using N95 and 3 ply surgical masks and determine the presence of any other subjective discomfort in them. SETTINGS ANDEntities:
Keywords: COVID-19; Dental Health Care Workers; discomfort; humid; personal protective equipment
Year: 2021 PMID: 35197672 PMCID: PMC8815655 DOI: 10.4103/ijoem.ijoem_446_20
Source DB: PubMed Journal: Indian J Occup Environ Med ISSN: 0973-2284
Figure 1Study flowchart
Demographic characteristics
| Group A ( | Group B ( | ||
|---|---|---|---|
| Age | |||
| <=35 years | 66 (95.65) | 55 (93.22) | 0.981 |
| >35 years | 3 (4.34) | 4 (6.78) | 0.953 |
| Gender | |||
| Male | 11 (15.94) | 8 (13.56) | 0.9723 |
| Female | 58 (84.06) | 51 (86.94) | 0.988 |
| Pre-existing headache | 11 (15.94) | 9 (15.25) | 0.964 |
*P<0.05: Statistically significant
Mean oxygen saturation and pulse rates
| Parameters | Group A | Group B |
| ||||
|---|---|---|---|---|---|---|---|
|
|
| ||||||
| Mean (SD) | Median (IQR) | Mean (SD) | Median (IQR) | ||||
| Oxygen Saturation | |||||||
| Baseline | 98.3 (0.97) | 99 (98-99) | 98.29 (1.36) | 99 (98-99) | 0.582 | ||
| 60 min | 96.13 (2.84) | 97 (94-99) | 98.14 (1.16) | 99 (96-99) | 0.001ǂ | ||
| 120 min | 97.61 (1.99) | 99 (97-99) | 98.17 (1.04) | 99 (97-99) | 0.012ǂ | ||
|
| 0.000ǂ | 0.592 | |||||
| Pulse rate Median (IQR) | |||||||
| Baseline | 85 (12.8) | 84 (76-94) | 83.54 (11.83) | 84 (76-89) | 0.537 | ||
| 60 min | 83.25 (14.13) | 82 (73-91.5) | 84.97 (14.25) | 83 (76-90) | 0.522 | ||
| 120 min | 84.01 (14.57) | 83 (74-94.5) | 82.78 (11.42) | 82 (74-90) | 0.663 | ||
|
| 0.547 | 0.840 | |||||
ǂP<0.05: Statistically significant
Figure 2Subjective discomfort in participants
Regression analysis with independent variables predicting the outcome- “Headache”
| Variable | With headache | Without headache |
| Odds ratio (95% Confidence interval) |
|---|---|---|---|---|
| Age (years) (Mean±S.D.) | 27.12±3.85 | 24.23±4.72 years | 0.465 | 0.965 (0.878-1.061) |
| Gender | ||||
| Male | 10 (52.63) | 9 (47.3) | 0.048† | 3.052 (1.132-9.621) |
| Female | 73 (66.97) | 36 (33.03) | ||
| Type of mask | ||||
| N95 mask | 52 (75.36) | 17 (24.64) | 0.00† | 6.852 (2.449-19.175) |
| Surgical 3-ply | 31 (52.54) | 28 (47.46) | ||
| Pre-existing headache | ||||
| Present | 15 (78.95) | 4 (21.05) | 0.042† | 1.97 (1.04-3.66) |
| Absent | 68 (81.92) | 41 (91.11) | ||
| Time interval between wearing N95 face mask to onset of headache | ||||
| 60 min | 16 | 112 | 0.00† | 7.935 (2.490-25.280) |
| 120 min | 85 | 43 |
†P<0.05: Statistically significant
Linear regression analysis to predict the ‘difference in oxygen saturation level (dependent variable), from baseline to 60 and 120 min’ with age, gender (male vs female) and group (type of mask- N95 vs 3-ply) as the independent variable
| Variable |
|
| Lower CI | Upper CI |
|---|---|---|---|---|
| Baseline to 60 min | ||||
| Constant | 2.138 | 0.40 | −2.89 | 7.16 |
| Type of mask | 0.32 | 0.047* | 0.0824 | 0.558 |
| Age | −0.012 | 0.85 | −0.143 | 0.119 |
| Gender | 0.094 | 0.90 | −1.448 | 1.637 |
| Baseline to 120 min | ||||
| Constant | −0.30 | 0.87 | −3.97 | 3.37 |
| Type of mask | −0.173 | 0.66 | −0.967 | 0.621 |
| Age | −0.018 | 0.71 | −0.113 | 0.078 |
| Gender | 0.880 | 0.12 | −0.248 | 2.007 |
P>0.05: Non-Significant, NS; *P<0.05: Statistically Significant; CI – Confidence interval; B – Regression coefficient