| Literature DB >> 31516876 |
Jamilah Borjac1, Shereen Badr2, Manal ElJoumaa1, Issa Daas2, Riham Kobeissi2.
Abstract
AIMS: In this study, we aimed at investigating the oral and dental health conditions of Lebanese and Syrian refugees living in proximity to Deir Kanoun Ras El Ain dump whereby its leachates influx into a canal used for irrigation and drinking purposes.Entities:
Keywords: Dump; fluorosis; papilla swelling; pollution; staining
Year: 2019 PMID: 31516876 PMCID: PMC6714415 DOI: 10.4103/jispcd.JISPCD_214_19
Source DB: PubMed Journal: J Int Soc Prev Community Dent ISSN: 2231-0762
Distribution of subjects according to village, sex, nationality, and age group
| Village | Overall number | Sex | Nationality | Age | |||||
|---|---|---|---|---|---|---|---|---|---|
| F | M | L | S | 10–20 years | 21–40 years | 41–60 years | Above 60 years | ||
| Klayleh | 245 | 154 | 91 | 102 | 143 | 68 | 98 | 67 | 12 |
| Deir Kanoun | 208 | 129 | 79 | 104 | 104 | 73 | 71 | 55 | 9 |
| Smaiyeh | 136 | 67 | 69 | 127 | 9 | 38 | 52 | 34 | 12 |
| Total frequency | 589 | 350 | 239 | 333 | 256 | 179 | 221 | 156 | 33 |
| Total (%) | 100 | 59.4 | 40.6 | 56.5 | 43.5 | 30.4 | 37.52 | 26.48 | 5.6 |
F = female, M = male, L= Lebanese, S= Syrian
Figure 1Percentage of individuals with dental fluorosis, staining, pigmentation, papilla swelling, and erosion among total individuals involved in the study
Figure 2Percentage of individuals with dental fluorosis, staining, pigmentation, papilla swelling, and erosion in accordance of village (A), sex (B), nationality (C), and different age groups (D)
Correlation matrix between dental fluorosis and some sociodemographic factors
| Fluorosis | Village | Sex | Nationality | Age | |
|---|---|---|---|---|---|
| Fluorosis | 1 | ||||
| Village | −0.004 | 1 | |||
| Sex | −0.001 | 0.098* | 1 | ||
| Nationality | 0.269** | 0.379** | 0.043 | 1 | |
| Age | 0.047 | 0.003 | 0.183** | −0.021 | 1 |
*Correlation is significant at the 0.05 level.
**Correlation is significant at the 0.01 level
Correlation matrix between dental staining and some sociodemographic factors
| Staining | Village | Sex | Nationality | Age | Pregnant | Smoking | |
|---|---|---|---|---|---|---|---|
| Staining | 1 | ||||||
| Village | 0.056 | 1 | |||||
| Sex | 0.121** | 0.098* | 1 | ||||
| Nationality | 0.23** | −0.379** | 0.043 | 1 | |||
| Age | 0.212** | 0.003 | −0.183** | −0.021 | 1 | ||
| Pregnant | 0.05 | −0.006 | −0.172** | 0.101* | 0.03 | 1 | |
| Smoking | 0.087* | 0.073 | 0.229** | −0.114** | 0.08 | −0.054 | 1 |
*Correlation is significant at the 0.05 level.
**Correlation is significant at the 0.01 level
Correlation matrix between papilla swelling and some sociodemographic factors
| Papilla swelling | Village | Sex | Nationality | Age | Smoking | Diabetes | Cardiovascular diseases | |
|---|---|---|---|---|---|---|---|---|
| Papilla swelling | 1 | |||||||
| Village | 0.075 | 1 | ||||||
| Sex | 0.078 | 0.098* | 1 | |||||
| Nationality | −0.021 | −0.379** | 0.043 | 1 | ||||
| Age | 0.003 | −0.183 | −0.021 | 1 | ||||
| Smoking | 0.073 | 0.0229** | −0.114* | 0.08 | 1 | |||
| Diabetes | 0.039 | − 0.331 | − 0.059 | 0.314** | 0.108** | 1 | ||
| Cardiovascular diseases | 0.081 | −0.059 | −0.019 | 0.004 | 0.138** | 0.074 | 0.164** | 1 |
*Correlation is significant at the 0.05 level.
**Correlation is significant at the 0.01 level