| Literature DB >> 22738076 |
Abstract
BACKGROUND: The chewing of khat leaf with tobacco smoking amongst Yemenis, Somalis and Ethiopians is reported to impact oral and general health. The health status and particularly dental and medical care attendance of UK-khat chewers has not received attention. This study aimed to explore health status and dental and medical attendance and its associated factors in UK permanently resident Yemeni khat chewers.Entities:
Mesh:
Year: 2012 PMID: 22738076 PMCID: PMC3598685 DOI: 10.1186/1471-2458-12-486
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Dental and medical care attendance for Yemeni khat chewers, drawn on Gelberg–Andersen Behavioral Model [19].
Health aspects of study sample (n = 204)
| Regular & Occasional dental attendance | 78 (38.2) |
| Symptomatic attendance | 90 (44.1) |
| Never attend | 36 (17.6) |
| No | 144 (70.6) |
| Yes (One oral health condition or more) | 60 (29.4) |
| No | 113 (55.4) |
| Yes | 91 (44.6) |
| No | 127 (62.3) |
| Yes (One health condition or more) | 77 (37.7) |
| Uncompromised health | 122 (59.8) |
| Compromised health | 82 (40.2) |
Frequency distribution and results of bivariate Chi-square tests of factors associated significantly with dental and medical attendance in a sample of UK resident adult male Yemeni khat chewers (n = 168)
| Other status | | | | | | | 29 | (76.3) | 9 | (23.7) | 1 |
| Married | | | | | | | 61 | (46.9) | 69 | (53.1) | 3.65 (1.60, 8.30)*** |
| High education | 33 | (58.9) | 23 | (41.1) | 1 | 36 | (64.3) | 20 | (35.7) | 1 | |
| Low education | 45 | (40.2) | 67 | (59.8) | 2.14 (1.11,4.10)* | 54 | (48.2) | 58 | (51.8) | 1.93 (0.99, 3.74)* | |
| Employed | | | | | | 51 | (86.4) | 8 | (13.6) | 1 | |
| Unemployed | | | | | | 39 | (35.8) | 70 | (64.2) | 11.44(4.93, 26.56)*** | |
| English, English & Arabic | | | | | | 43 | (65.2) | 23 | (34.8) | 1 | |
| Arabic & other | | | | | | 47 | (46.1) | 55 | (53.9) | 2.19 (1.16, 4.14)* | |
| Overcrowded†† | | | | | | 43 | (42.6) | 58 | (57.4) | 1 | |
| Uncrowded† | | | | | | 46 | (69.7) | 20 | (30.3) | 0.33 (0.17, 0.62)*** | |
| Uncompromised | | | | | | 73 | (74.5) | 25 | (25.5) | 1 | |
| Compromised | | | | | | 17 | (24.3) | 53 | (75.5) | 9.10 (4.47, 18.53)*** | |
| No | | | | | | 76 | (75.2) | 25 | (24.8) | 1 | |
| Yes | | | | | | 14 | (20.9) | 53 | (79.1) | 11.51(5.48,24.18)*** | |
| No | 60 | (52.6) | 54 | (47.4) | 1 | | | | | | |
| Yes | 18 | (33.3) | 36 | (66.7) | 2.22 (1.13,4.36)* | | | | | | |
| Low | 59 | (53.6) | 51 | (46.4) | 1 | 71 | (64.5) | 39 | (35.5) | 1 | |
| High | 19 | (32.8) | 39 | (67.2) | 2.38 (1.22,4.61)* | 19 | (32.8) | 39 | (67.2) | 3.73 (1.91, 7.33)*** | |
*p≤0.05, **p≤0.01, ***p≤0.001; 95%CI: 95%confidence interval, OR: Odd ratio;
†One person a room; ††More than one person in the room.
Results of the hierarchical multivariate binary multiple regression predicting dental attendance in a sample of UK resident adult male Yemeni khat chewers (n = 168)
| −0.008 | 0.99 (.97, 1.01) | −0.014 | 0.99 (0.97,1.01) | −0.016 | 0.98 (0.96,1.00) | |
| | | | | | | |
| High education | 0.682 | 1 | 0.627 | 1 | 0.567 | 1 |
| Low education | | 1.98 (0.95, 4.11) | | 1.87(0.89, 3.96) | | 1.76 (0.83, 0.77) |
| 0.141 | 1.15(1.05,1.26)*** | 0.132 | 1.14 (1.04, 1.25)*** | 0.133 | 1.14 (1.04, 1.25)*** | |
| | | −0.022 | 0.98 (0.96, 0.99)* | −0.020 | 0.98 (0.96, 0.99)* | |
| No | | | | | 0.653 | 1 |
| Yes | 1.92 (0.93, 3.99) | |||||
*p≤0.05, **p≤0.01, ***p≤0.001;
Multiple Regression Model 1: N=168, Cox & Snell R Square and Nagelkerke R Square 8.8-11.7 %;
Multiple Regression Model 2: N=168, Cox & Snell R Square and Nagelkerke R Square 11.7-15.7 %;
Multiple Regression Model 2: N=168, Cox & Snell R Square and Nagelkerke R Square 13.4-17.9 %.
Results of the hierarchical binary multiple regression predicting medical attendance in a sample of UK resident adult male Yemeni khat chewers (n = 168)
| 0.041 | 1.04(1.02,1.07)*** | 0.041 | 1.04(1.02,1.07)*** | 0.030 | 1.03 (1.01,1.06)* | ||
| Other status | 0.982 | 1 | 0.963 | 1 | 0.931 | 1 | |
| Married | | 2.67 (.96, 7.42) | | 2.62 (.93, 7.41) | | 2.54 (.85,7.58) | |
| High education | −0.104 | 1 | −0.096 | 1 | −0.072 | 1 | |
| Low education | | 0.90 ( 0.42,1.93) | | 0.91 ( 0.42, 1.95) | | 0.93 (0.415,2.09) | |
| English, English & Arabic | −0.290 | 1 | −0.287 | 1 | −0.284 | 1 | |
| Arabic & other | | 0.75 ( 0.35, 1.61) | | 0.76 (0.35,1.64) | | 0.75 ( 0.33, 1.70) | |
| Overcrowded | −0.794 | 1 | −0.798 | 1 | −0.511 | 1 | |
| Uncrowded | | 0.45 ( 0.21, .98)* | | 0.45 (0.21, .98)* | | 0.60 ( 0.26,1.37) | |
| 0.162 | 1.18 (1.07,1.29)** | 0.164 | 1.18(1.03,1.39)*** | 0.152 | 1.16 (1.05,1.29)*** | ||
| | | 0.002 | 1.00 ( .98,1.02) | 0.008 | 1.01 (.99, 1.03) | ||
| No | | | | | 1.51 | 1 | |
| Yes | 4.51 (2.02, 10.08)*** | ||||||
*p≤0.05, **p≤0.01, ***p≤0.001;
Multiple Regression Model 1: N=168, Cox & Snell R Square and Nagelkerke R Square 30.0-40.2 %;
Multiple Regression Model 2: N=168, Cox & Snell R Square and Nagelkerke R Square 30.0-40.2 %;
Multiple Regression Model 3: N=168, Cox & Snell R Square and Nagelkerke R Square 34.6.46.3 %.