| Literature DB >> 35647001 |
Ashrafur Rahaman Mahadi1,2, Md Abdur Rafi3, Tasnim Shahriar4, Senjuti Seemanta5, Md Golam Rabbani2,6, Munjarin Akter7, Mahabubul Islam Majumder1, M Tasdik Hasan2,8,9.
Abstract
Introduction: Psychological stress from the ongoing coronavirus disease 2019 (COVID-19) pandemic can potentially aggravate the course of several stress-sensitive skin and hair diseases. This study aimed to determine the potential association of COVID-19 stress with hair diseases, such as telogen effluvium (TE), alopecia areata (AA), and seborrheic dermatitis (SD), among medical students in Bangladesh.Entities:
Keywords: COVID-19 stress; alopecia areata; hair fall diseases; seborrheic dermatitis; telogen effluvium
Year: 2022 PMID: 35647001 PMCID: PMC9133810 DOI: 10.3389/fmed.2022.876561
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Sociodemographic characteristics and COVID-19 pandemic-related stresses of the participants (n = 404).
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| ≤ 22 | 165 (40.8) |
| >22 | 239 (59.2) |
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| Male | 177 (43.8) |
| Female | 227 (56.2) |
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| 1st year | 12 (3.0) |
| 2nd year | 50 (12.4) |
| 3rd year | 56 (13.9) |
| 4th year | 127 (31.4) |
| 5th year | 159 (39.4) |
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| 0–20,000 | 44 (10.9) |
| 20,000–40,000 | 138 (34.2) |
| >40,000 | 222 (55.0) |
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| Urban | 326 (80.7) |
| Rural | 78 (19.3) |
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| Married | 24 (5.9) |
| Unmarried | 380 (94.1) |
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| Underweight (<18.0) | 37 (9.2) |
| Normal weight (18.0–24.9) | 255 (63.1) |
| Overweight (≥25.0) | 112 (27.7) |
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| Yes | 54 (13.4) |
| No | 350 (86.6) |
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| Present (≥20) | 230 (56.9) |
| Absent (<20) | 174 (43.1) |
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| Present (≥26) | 240 (59.4) |
| Absent (<26) | 164 (40.6) |
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| High (≥16) | 143 (35.4) |
| Average (7–15) | 184 (45.5) |
| Low (≤ 6) | 77 (19.1) |
Figure 1Prevalence of TE, AA, and SD.
Prevalence of TE, AA, and SD according to participants' characteristics (n = 404).
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| ≤ 22 | 109 (66.1) | 32 (19.4) | 102 (61.8) |
| >22 | 138 (57.7%) | 68 (28.5) | 131 (54.8) |
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| Male | 94 (53.1) | 63 (35.6) | 105 (59.3) |
| Female | 153 (67.4) | 37 (16.3) | 128 (56.4) |
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| 1st year | 5 (41.7) | 3 (25.0) | 3 (25.0) |
| 2nd year | 31 (62.0) | 9 (18.0) | 33 (66.0) |
| 3rd year | 42 (75.0) | 16 (28.6) | 40 (71.4) |
| 4th year | 79 (62.2) | 36 (28.3) | 71 (55.9) |
| 5th year | 90 (56.6) | 36 (22.6) | 86 (54.1) |
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| 0–20,000 | 22 (50.0) | 7 (15.9) | 23 (52.3) |
| 20,000–40,000 | 81 (58.7) | 26 (18.8) | 85 (61.6) |
| >40,000 | 144 (64.9) | 67 (30.2) | 125 (56.3) |
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| Urban | 201 (61.7) | 77 (23.6) | 185 (56.7) |
| Rural | 46 (59.0) | 23 (29.5) | 48 (61.5) |
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| Married | 16 (66.7) | 4 (16.7) | 15 (62.5) |
| Unmarried | 231 (60.8) | 96 (25.3) | 218 (57.4) |
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| Underweight | 28 (75.7) | 8 (21.6) | 20 (54.1) |
| Normal weight | 151 (59.2) | 56 (22.0) | 142 (55.7) |
| Overweight | 68 (60.7) | 36 (32.1) | 71 (63.4) |
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| Yes | 43 (79.6) | 33 (61.1) | 40 (74.1) |
| No | 204 (58.3) | 67(19.1) | 193 (55.1) |
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| Present | 164 (71.3) | 80 (34.8) | 157 (68.3) |
| Absent | 83 (47.7) | 20 (11.5) | 76 (43.7) |
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| Present | 171 (71.3) | 82 (34.2) | 164 (68.3) |
| Absent | 76 (46.3) | 18 (11.0) | 69 (42.1) |
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| High | 110 (76.9) | 67 (46.9) | 109 (76.2) |
| Average | 98 (53.3) | 21 (11.4) | 92 (50.0) |
| Low | 39 (50.6) | 12 (15.6) | 32 (41.6) |
Multiple logistic regression model for the variables associated with TE, AA, and SD (n = 404).
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| ≤ 22 | 1.37 (0.72–2.59) | 0.329 | 0.41 (0.18–0.91) | 0.029 | 1.19 (0.64–2.21) | 0.573 |
| >22 | Ref. | Ref. | Ref. | |||
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| Male | 0.41 (0.25–0.68) | 0.000 | 2.12 (1.14–3.92) | 0.016 | 1.05 (0.64–1.71) | 0.830 |
| Female | Ref. | Ref. | Ref. | |||
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| 1st year | 0.61 (0.14–2.60) | 0.513 | 5.82 (0.97–34.83) | 0.053 | 0.28 (0.06–1.36) | 0.117 |
| 2nd year | 1.01 (0.41–2.49) | 0.981 | 2.03 (0.64–6.42) | 0.229 | 1.57 (0.64–3.82) | 0.319 |
| 3rd year | 1.95 (0.81–4.68) | 0.134 | 4.42 (1.57–12.46) | 0.005 | 2.27 (0.97–5.32) | 0.057 |
| 4th Year | 1.25 (0.70–2.21) | 0.445 | 2.12 (1.04–4.31) | 0.037 | 1.02 (0.58–1.78) | 0.933 |
| 5th year | Ref. | Ref. | Ref. | |||
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| 0–20,000 | 0.69 (0.33–1.45) | 0.337 | 0.80 (0.30–2.11) | 0.653 | 1.17 (0.56–2.42) | 0.670 |
| 20,000–40,000 | 1.01 (0.61–1.66) | 0.955 | 0.79 (0.42–1.48) | 0.470 | 1.75 (1.07–2.87) | 0.026 |
| >40,000 | Ref. | Ref. | Ref. | |||
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| Urban | 1.08 (0.61–1.93) | 0.781 | 0.85 (0.41–1.75) | 0.670 | 0.86 (0.48–1.53) | 0.619 |
| Rural | Ref. | Ref. | Ref. | |||
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| Married | 1.33 (0.50–3.49) | 0.563 | 0.47 (0.13–1.69) | 0.251 | 1.40 (0.53–3.66) | 0.487 |
| Unmarried | Ref. | Ref. | Ref. | |||
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| Underweight | 2.44 (0.92–6.46) | 0.072 | 0.64 (0.20–2.01) | 0.455 | 0.62 (0.26–1.48) | 0.284 |
| Normal Weight | 1.085 (0.63–1.84) | 0.762 | 0.735 (0.39–1.35) | 0.325 | 0.76 (0.45–1.28) | 0.315 |
| Overweight | Ref. | Ref. | Ref. | |||
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| Yes | 4.19 (1.83–9.56) | 0.001 | 2.93 (1.29–6.65) | 0.010 | 1.88 (0.86–4.10) | 0.112 |
| No | Ref. | Ref. | Ref. | |||
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| Present | 1.70 (1.00–2.89) | 0.046 | 2.62 (1.25–5.47) | 0.010 | 1.57 (0.93–2.64) | 0.086 |
| Absent | Ref. | Ref. | Ref. | |||
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| Present | 1.84 (1.08–3.13) | 0.023 | 2.61 (1.19–5.68) | 0.016 | 1.92 (1.14–3.25) | 0.014 |
| Absent | Ref. | Ref. | Ref. | |||
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| High | 1.35 (0.62–2.90) | 0.441 | 1.28 (0.47–3.46) | 0.626 | 2.10 (0.99–4.47) | 0.051 |
| Average | 0.64 (0.34–1.21) | 0.178 | 0.33 (0.13–.84) | 0.020 | 0.88 (0.47–1.65) | 0.711 |
| Low | Ref. | Ref. | Ref. | |||