| Literature DB >> 31142315 |
Raija Vainionpää1,2, Kirsi Tuulaniemi3, Paula Pesonen4, Marja-Liisa Laitala3, Vuokko Anttonen3,5.
Abstract
BACKGROUND: The aim of the study was to evaluate the prevalence and severity of erosive tooth wear (ETW) and its association with dental caries and the use of psychoactive substances among Finnish prisoners.Entities:
Keywords: Dental caries; Erosive tooth wear; Prison; Prisoners; Psychoactive substances
Mesh:
Substances:
Year: 2019 PMID: 31142315 PMCID: PMC6542043 DOI: 10.1186/s12903-019-0796-3
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Substance use among prisoners and oral health (DT, DMFT, MT, ETW) (Literature review)
| References | Year | Country | Substance use among prisoners | Sample size M male | Age, years Mean (SD) | D/DMF (SD) | Tooth wear/ETW prevalence |
|---|---|---|---|---|---|---|---|
| Akaji & Folaranmi | 2013 | Nigeria | 52.2% smokers | 28 (9.5) | DMF Mean 2 (0.8) Smokers 2 (0.7) Non-smokers 2 (0.8) | – | |
| Almas et al. | 2007 | Saudi Arabia | 98% smokers 61% alcohol drinkers 41% cannabis users | M 56% | 31 (8.9) | – | Cervical erosion/abrasion Total 33% Males 16% Females 55% |
| Boyer et al. | 2015 | USA | 87% smokers, 58% alcohol consumers, 55% methamphetamine (MA) users, 52% marijuana users, 24% cocaine users, 3% heroin users | MA users M 79% Non-MA users | 30 (8.3) | D: MA users 8 (6.2) Non-MA users 6 (5.1) | – |
| Brown et al. | 2013 | USA | Alcohol consumers 60%, methamphetamine users 60% | MA users M 80% Non-MA users | 33 (10.8) MA users 32 (9.3) Non-MA users 33 (12.8) | D MA users 9 (5.9) Non-MA users 7 (5.4) MA smokers 9 (6.1) Non-oral MA users (intravenous/ intranasal) 7 (5.1) DMF Total 14 (6.7) MA users 15 (6.3) Non-MA users 12 (7.0) MA smokers 16 (6.2) Non-oral MA users (intravenous/ intranasal) 13 (6.3) | – |
| Heidari et al. | 2007 | Great Britain | 84% alcohol consumers, 78% smokers, 55% cannabis smokers, 66% cocaine, 39% heroin, crack cocaine 12% | 36 (9.6) | D 4 (2.7) DMF 14 (7.5) | – | |
| Osborn et al. | 2003 | Australia | M 34 (12.4) F 33 (10.5) | D 3 DMF 20 | – | ||
| Reddy et al. | 2012 | India | 59% beedi tobacco, 7.5% smokers, 6% beedi+smoking, 53% tobacco chewing, 39% tobacco chewing+smoking (beedi = indian tobacco) | 41 (12.25) | DMF 5 (2.9) | – | |
| Rouxel et al. | 2013 | Great Britain | 66% current smokers, 11% past smokers, 23% never smoked | 31 (9.6) | D 3 (2.5) DMF 12 (7.5) | – |
Beedi: Indian tobacco product
Prevalence of DT, T, DMFT, age and BEWE and their association with substance abuse among prisoners, n = 50
| Variable n (%) | DT n (%) | T n (%) | DMFT n (%) | Age n (%) | BEWE n (%) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0–4 27 (54.0) | ≥5 23 (46.0) | 0–23 17 (34.0) | ≥24 33 (66.0) | 0–15 20 (40.0) | ≥16 30 (60.0) | < 35 29 (58.0) | ≥35 21 (42.0) | 0–2 2 (4.0) | 3–8 37 (74.0) | ≥9 11 (22.0) | ||
| Alcohol | Major 12 (24.0) | 7 (25.9) | 5(21.7) | 6 (35.3) | 6 (18.2) | 5 (25.0) | 7 (23.3) | 7 (24.1) | 5 (23.8) | 0 | 7 (18.9) | 5 (45.5) |
| Moderate 24 (48.0) | 13 (48.1) | 11 (47.8) | 11 (64.7) | 13 (39.4) | 8 (40.0) | 16 (53.3) | 18 (62.1) | 6 (28.6) | 2 (100.0) | 19 (51.4) | 3 (27.3) | |
| No 14 (28.0) | 7 (25.9) | 7 (30.4) | 0 | 14 (42.4) | 7 (35.0) | 7 (23.3) | 4 (13.8) | 10 (47.6) | 0 | 11 (29.7) | 3 (27.3) | |
| p | 0.913a | 0.002* b | 0.594a | 0.020 *a | 0.239b | |||||||
| Smoking | Yes 44 (88.0) | 24 (88.9) | 20 (87.0) | 15 (88.2) | 29 (87.9) | 19 (95.0) | 25 (83.3) | 29 (100.0) | 15 (71.4) | 2 (100.0) | 33 (89.2) | 9 (81.8) |
| No 6 (12.0) | 3 (11.1) | 3 (13.0) | 2 (11.8) | 4 (12.1) | 1 (5.0) | 5 (16.7) | 0 | 6 (28.6) | 0 | 4 (10.8) | 2 (18.2) | |
| p | n.s | n.s | 0.381b | 0.003 * b | 0.698b | |||||||
| Snuff | Yes 10 (20.0) | 6 (22.2) | 4 (17.4) | 3 (17.6) | 7 (21.2) | 4 (20.0) | 6 (20.0) | 8 (27.6) | 2 (9.5) | 1 (50.0) | 8 (21.6) | 1 (9.1) |
| No 40 (80.0) | 21 (77.8) | 19 (82.6) | 14 (82.4) | 26 (78.8) | 16 (80.0) | 24 (80.0) | 21 (72.4) | 19 (90.5) | 1 (50.0) | 29 (78.4) | 10 (90.9) | |
| p | 0.736b | n.s | n.s | 0.160b | 0.384b | |||||||
| Drug | Yes 31 (62.0) | 15 (55.6) | 16 (69.6) | 11 (64.7) | 20 (60.6) | 12 (60.0) | 19 (63.3) | 21 (72.4) | 10 (47.6) | 2 (100.0) | 25 (67.6) | 4 (36.4) |
| No 19 (38.0) | 12 (44.4) | 7 (30.4) | 6 (35.3) | 13 (39.4) | 8 (40.0) | 11 (36.7) | 8 (27.6) | 11 (52.4) | 0 | 12 (32.4) | 7 (63.6) | |
| p | 0.309a | 0.777a | 0.812a | 0.075a | 0.108b | |||||||
aPearson Chi-Square test, bFisher’s exact test, *p < 0.05
Major consumer of alcohol: drinking more than once a week; moderate user: once a week/every other week/twice a month or less frequently/once a month
The association between tooth wear and independent variables, n = 100
| Variable mean (SD) | n (%) | BEWE n (%) | ||
|---|---|---|---|---|
| 0–8 81 (81.0) | ≥9 19 (19.0) |
| ||
| DT 5.1 (5.42) | < 5 57 (57.0) | 47 (58.0) | 10 (52.6) | 0.669 |
| ≥5 43 (43.0) | 34 (42.0) | 9 (47.4) | ||
| DMFT 16.8 (8.86) | < 16 46 (46.0) | 40 (49.4) | 6 (31.6) | 0.161 |
| ≥16 54 (54.0) | 41 (50.6) | 13 (68.4) | ||
| MT 7.7 (6.57) | < 6 49 (49.0) | 40 (49.4) | 9 (47.4) | 0.874 |
| ≥6 51 (51.0) | 41 (50.6) | 10 (52.6) | ||
| FT 6.9 (5.15) | < 7 53 (53.0) | 47 (58.0) | 6 (31.6) | 0.038* |
| ≥7 47 (47.0) | 34 (42.0) | 13 (68.4) | ||
| T 24.3(6.57) | < 23 29 (29.0) | 24 (29.6 | 5 (26.3) | 0.774 |
| ≥24 71 (71.0) | 57 (70.4) | 14 (73.7) | ||
| Age 35.3(10.09) | < 35 53 (53.0) | 46 (56.8) | 7 (36.8) | 0.117 |
| ≥35 47 (47.0) | 2 (35 (43.2) | 12 (63.8) | ||
Pearson Chi-Square test, *p < 0.05