| Literature DB >> 35649060 |
Maria Helaynne Diniz Faria1, Luanna Mayrany Alves Costa Silva1, Rodrigo Porpino Mafra2, Marquiony Marques Dos Santos1, Samara Carollyne Mafra Soares1, Jamile Marinho Bezerra de Oliveira Moura1.
Abstract
OBJECTIVE: To evaluate the prevalence of actinic cheilitis in rural workers and factors associated with the development of this condition.Entities:
Mesh:
Year: 2022 PMID: 35649060 PMCID: PMC9126600 DOI: 10.31744/einstein_journal/2022AO6862
Source DB: PubMed Journal: Einstein (Sao Paulo) ISSN: 1679-4508
Figure 1Frequency of rural workers seeking dental treatment
Figure 2Clinical features observed in actinic cheilitis. A) Mild actinic cheilitis characterized by scaling, dryness, and mild edema in the lower lip; B) Moderate actinic cheilitis showing fissures, areas of leukoplasia and erythema, and more pronounced edema and scaling; C) Severe actinic cheilitis. Note the presence of atrophy, fissures, crusts, and pale and/or brownish spots in the lower lip
Sociodemographic and occupational variables and habits associated with actinic cheilitis in rural workers
| Variables | Presence of actinic cheilitis | PR | 95%CI | p value# | |
|---|---|---|---|---|---|
| Yes (%) | No (%) | ||||
| Sex | |||||
| Male | 31 (16.4) | 158 (83.6) | 3.64 | 1.46-9.09 | 0.002† |
| Female | 5 (4.5) | 106 (95.5) | |||
| Age (years) | |||||
| 23-51 | 10 (9.5) | 95 (90.5) | 1.00 | 0.260 | |
| 52-58 | 17 (16.2) | 88 (83.8) | 0.59 | 0.28-1.22 | |
| 59-84 | 9 (10.0) | 81 (90.0) | 0.95 | 0.40-2.24 | |
| Educational level | |||||
| Illiterate | 6 (9.7) | 56 (90.3) | 1.00 | 0.130 | |
| Elementary school | 28 (14.6) | 164 (85.4) | 0.66 | 0.29-1.53 | |
| High school | 2 (4.3) | 44 (95.7) | 2.23 | 0.47-10.53 | |
| Income in R$* | |||||
| Up to 1.045,00 | 12 (12.4) | 85 (87.6) | 1.05 | 0.55-2.00 | 0.891 |
| >1.045,00 | 24 (11.8) | 179 (88.2) | |||
| Working hours | |||||
| Two shifts | 33 (13.2) | 217 (86.8) | 2.20 | 0.70-6.89 | 0.153 |
| One shift | 3 (6.0) | 47 (94.0) | |||
| Photoprotection | |||||
| No | 0 (0.0) | 25 (100.0) | 1.15 | 1.10-1.20 | 0.054 |
| Yes | 36 (13.1) | 239 (86.9) | |||
| Use of sunscreen | |||||
| No | 29 (12.0) | 213 (88.0) | 0.94 | 0.44-2.04 | 0.879 |
| Yes | 7 (12.7) | 48 (87.3) | |||
| Use of cap/hat | |||||
| No | 8 (8.0) | 92 (92.0) | 0.56 | 0.27-1.19 | 0.121 |
| Yes | 28 (14.2) | 169 (85.8) | |||
| Use of lipstick | |||||
| No | 36 (12.8) | 246 (87.2) | 0.87 | 0.83-0.91 | 0.230 |
| Yes | 0 (0.0) | 15 (100.0) | |||
| Use of lip balm with SPF | |||||
| No | 32 (11.0) | 260 (89.0) | 0.14 | 0.08-0.24 | 0.001† |
| Yes | 4 (80.0) | 1 (20.0) | |||
| Use of cocoa butter | |||||
| Yes | 3 (50.0) | 3 (50.0) | 4.41 | 1.86-10.44 | 0.025† |
| No | 33 (11.3) | 258 (88.7) | |||
| Any habits | |||||
| Yes | 12 (11.4) | 93 (88.6) | 0.93 | 0.48-1.78 | 0.823 |
| No | 24 (12.3) | 171 (87.7) | |||
| Smoking | |||||
| Yes | 3 (9.6) | 28 (90.3) | 0.79 | 0.26-2.42 | 1.000 |
| No | 33 (12.2) | 236 (87.7) | |||
| Alcohol drinking | |||||
| Yes | 6 (9.5) | 57 (90.4) | 0.75 | 0.33-1.73 | 0.496 |
| No | 30 (12.6) | 207 (87.3) | |||
| Smoking and alcohol drinking | |||||
| Yes | 3 (27.2) | 8 (72.7) | 2.39 | 0.86-6.60 | 0.133 |
| No | 33 (11.4) | 256 (88.5) | |||
| Number of cigarettes/day | |||||
| ≥21 | 1 (20.0) | 4 (80.0) | 1.00 | 0.108 | |
| 11-20 | 4 (30.8) | 9 (69.2) | 0.65 | 0.09-4.49 | |
| 1-10 | 1 (4.2) | 23 (95.8) | 4.48 | 0.35-64.56 | |
| Alcoholic beverage consumption | |||||
| >2 doses/day | 1 (4.8) | 20 (95.2) | 0.31 | 0.04-2.32 | 0.447 |
| 1 dose in last 30 days | 8 (15.4) | 44 (84.6) | |||
# Pearson’s χ2 test; * R$= Reals. R$ 1.045,00 corresponds to US$ 193.96; † Statistically significant p values of 0.05 or less are highlighted in bold.
PR: prevalence ratio; 95%CI: 95% confidence interval; SPF: solar protection factor.
Association between the presence of actinic cheilitis and risk factors in rural workers
| Variables | Presence of actinic cheilitis | PR | 95%CI | p value
| |
|---|---|---|---|---|---|
| Yes (%) | No (%) | ||||
| Cumulative sun exposure | |||||
| 48-75 years | 11 (11.5) | 85 (88.5) | 1.00 | 0.067 | |
| 40-47 years | 18 (17.5) | 85 (82.5) | 0.66 | 0.33-1.32 | |
| 14-39 years | 7 (6.9) | 94 (93.1) | 1.65 | 0.67-4.09 | |
| Skin color | |||||
| White | 25 (23.4) | 82 (76.6) | 1.00 | <0.001* | |
| Brown | 11 (6.2) | 167 (93.8) | 3.78 | 1.94-7.37 | |
| Black | 0 (0.0) | 15 (100.0) | 0.77 | 0.69-0.85 | |
| Working hours | |||||
| Two shifts | 33 (13.2) | 217 (86.8) | 2.20 | 0.70-6.89 | 0.153 |
| One shift | 3 (6.0) | 47 (94.0) | |||
| Daily sun exposure | |||||
| >9 hours | 16 (17.6) | 75 (82.4) | 1.84 | 1.00-3.38 | 0.050* |
| Up to 9 hours | 20 (9.6) | 189 (90.4) | |||
| Weekly sun exposure | |||||
| 7 days | 32 (14.0) | 197 (86.0) | 2.48 | 0.91-6.77 | 0.059 |
| <7 days | 4 (5.6) | 67 (94.4) | |||
# Pearson’s χ2 test; * Statistically significant p values of 0.05 or less are highlighted in bold.
PR: prevalence ratio; 95%CI: 95% confidence interval.
Multivariate analysis of the association between risk of actinic cheilitis and sociodemographic and occupational variables in rural workers
| Variable | Reference | Predictor | PR | aPR | aCI* | p value |
|---|---|---|---|---|---|---|
| Skin color | White | Brown | 0.30 | 0.32 | 0.16-0.63 | 0.001† |
| Sex | Female | Male | 3.64 | 3.99 | 1.61-9.91 | 0.003† |
| Cumulative sun exposure (years) | 14-39 | 40-47 | 1.92 | 2.04 | 1.06-3.92 | 0.032† |
| Educational level | Illiterate | Elementary school | 1.97 | 2.45 | 1.14-5.28 | 0.022† |
* aCI: confidence interval for prevalence ratio adjusted to a 5% level of significance (multiple analysis); † Statistically significant p values of 0.05 or less are highlighted in bold.
PR: prevalence ratio; aPR: adjusted prevalence ratio (logistic regression).