| Literature DB >> 25883686 |
Edward O Poluyi1, Oluwakemi O Odukoya2, Bolajoko Aina3, Babalola Faseru4.
Abstract
BACKGROUND: There are no safe levels of exposure to second hand smoke and smoke-free policies are effective in reducing the burden of tobacco-related diseases and death. Pharmacists, as a unique group of health professionals, might be able to play a role in the promotion of smoke-free policies.Entities:
Keywords: Nigeria; Pharmacies; Pharmacists; Professional Role; Smoke-Free Policy; Smoking; Smoking Cessation
Year: 2015 PMID: 25883686 PMCID: PMC4384264 DOI: 10.18549/pharmpract.2015.01.486
Source DB: PubMed Journal: Pharm Pract (Granada) ISSN: 1885-642X
Question guide for the focus group discussion
| What is tobacco? What are the forms of tobacco that you know of? |
| What are the health risks associated with tobacco use? |
| What are the health risks associated with second hand smoke exposure? |
| What is your opinion about banning tobacco smoking in designated places in Nigeria? Probe for public places, Restaurants and bars, Private homes and other places |
Focus group demographics
| Gender | Age | Years of working experience |
|---|---|---|
| Male | 48 | 20 |
| Male | 30 | 5 |
| Female | 46 | 20 |
| Male | 42 | 18 |
| Male | 59 | 30 |
| Male | 34 | 9 |
| Female | 36 | 10 |
| Male | 45 | 18 |
| Female | 37 | 10 |
| Male | 52 | 21 |
Socio demographic details of the survey respondents (n=212)
| Variable(s) | Frequency (%) |
|---|---|
| Age (in years) Mean±SD | 35.2±10.83 |
| ≥20 | 3(1.4) |
| 21-30 | 84 (39.6) |
| 31-40 | 69 (32.5) |
| 41-50 | 37 (17.5) |
| 51-60 | 13 (6.1) |
| >60 | 6 (2.8) |
| Sex | |
| Male | 129 (60.8) |
| Female | 83 (39.2) |
| Ethnicity | |
| Igbo | 85 (40.3) |
| Yoruba | 106 (50.2) |
| Hausa | 14 (6.6) |
| Others | 6 (2.8) |
| Religion | |
| Christianity | 164 (77.4) |
| Islam | 48 (22.6) |
| Years of practice of respondents Mean±SD | 9.1±8.6 |
| 1-5 | 93 (43.9) |
| 6-10 | 60 (28.3) |
| 11-15 | 20 (9.4) |
| 16-20 | 19 (9.0) |
| >20 | 20 (9.4) |
| Average number of clients seen daily Mean±SD | 24.1±18.8 |
| 1-10 | 38 (17.9) |
| 11-20 | 94 (44.3) |
| 21-30 | 36 (17.0) |
| 31-40 | 13 (6.1) |
| 41-50 | 14 (6.6) |
| >50 | 17 (8.0) |
| Smoking status of respondents | |
| Ex-smoker | 31 (14.6) |
| Current smoker | 18 (8.5) |
| Never smoker | 163 (76.9) |
Knowledge of the forms of tobacco and the health risks associated with tobacco use (n=212)
| Variable(s) | N (%) |
|---|---|
| Knowledge of forms of tobacco | |
| Cigarettes | 202 (95.7) |
| Cigars | 189 (89.2) |
| Chewed tobacco | 165 (78.2) |
| Snuff | 122 (57.5) |
| Cocaine | 80 (37.7) |
| Cannabis | 100 (47.2) |
| Knowledge of harmful use of tobacco to health | 191 (90.1) |
| Knowledge of second hand smoke harmful to health | 160 (75.8) |
| Knowledge of addictive use of tobacco | 177 (83.5) |
| Knowledge of tobacco related diseases: | |
| Lung cancer | 179 (84.4) |
| Heart disease | 105 (46.9) |
| COPD | 59 (27.8) |
| Bladder cancer | 100 (47.2) |
| Oesophageal cancer | 146 (68.9) |
| Peripheral vascular disease | 76 (35.8) |
| Prematurity/miscarriage/still birth | 65 (30.7) |
| Sudden death | 66 (31.1) |
| Had heard of the WHO FCTC | 110(51.9) |
| Aware that Nigeria is a signatory to the WHO FCTC (n=110) | 74(67.3) |
| Aware of any law in Nigeria controlling tobacco use | 114(53.8) |
Support for smoking bans. n(%)
| Variables (n=212) | Strongly Agree | Agree | Undecided | Disagree | Strongly disagree |
|---|---|---|---|---|---|
| Smoking should be prohibited within enclosed spaces in private homes | 59(27.8) | 118(55.7) | 16(7.5) | 15(7.1) | 4 (1.9) |
| Smoking should be prohibited at public places | 77(36.3) | 91(42.9) | 25(11.8) | 15(7.1) | 4 (1.9) |
| Smoking should be prohibited at restaurants, nightclubs and bars | 57(26.9) | 99(46.7) | 34(16.0) | 16(7.5) | 6 (2.8) |
Bivariate analysis of the factors associated with knowledge of tobacco use
| Variable(s) | Knowledge score | F value | P value |
|---|---|---|---|
| Age (in years) | 0.42 | 0.797 | |
| <30 | 10.52(2.3) | ||
| 31-40 | 10.17(2.4) | ||
| 41-50 | 10.03(2.3) | ||
| 51-60 | 10.57(2.5) | ||
| >60) | 10.00(2.4) | ||
| Sex | 0.015* | 0.904 | |
| Male | 10.32(2.4) | ||
| Female | 10.28(2.4) | ||
| Ethnicity | 1.86 | 0.120 | |
| Igbo | 10.11(2.3) | ||
| Yoruba | 10.59(2.4) | ||
| Hausa | 9.86(3.0) | ||
| Others | 8.50(2.0) | ||
| Religion | 0.339 | 0.561 | |
| Christianity | 10.25(2.5) | ||
| Islam | 10.48(2.2) | ||
| Years of practice of respondents | 0.882 | 0.475 | |
| 1-5 | 10.61(2.4) | ||
| 6-10 | 10.17(2.3) | ||
| 11-15 | 9.85(2.8) | ||
| 16-20 | 9.74(1.9) | ||
| >20 | 10.25(2.4) | ||
| Average number of customers attended to daily | 2.988 | 0.013 | |
| 1-10 | 10.24(2.6) | ||
| 11-20 | 10.06(2.4) | ||
| 21-30 | 9.89(2.4) | ||
| 31-40 | 11.00(1.9) | ||
| 41-50 | 10.14(1.5) | ||
| >50 | 12.24(2.6) | ||
| Smoking status of respondents | 0.002 | 0.965 | |
| Current smoker | 10.28(2.4) | ||
| Non-smoker | 10.30(2.4) |
Bivariate analysis of the factors associated with support for smoke-free bans
| Variable(s) | Attitude score | Chi-square | P-value |
|---|---|---|---|
| Age (in years) | 5.73 | 0.000 | |
| <30 | 9.59(2.1) | ||
| 31-40 | 8.87(1.7) | ||
| 41-50 | 9.03(2.1) | ||
| 51-60 | 7.07(2.0) | ||
| >60 | 7.86(2.8) | ||
| Sex | 0.145 | 0.703 | |
| Male | 8.98(2.0) | ||
| Female | 9.10(2.2) | ||
| Ethnicity | 1.656 | 0.162 | |
| Igbo | 8.86(1.9) | ||
| Yoruba | 9.10(2.2) | ||
| Hausa | 9.00(1.8) | ||
| Others | 8.50(2.0) | ||
| Religion | 0.949 | 0.331 | |
| Christianity | 9.10(2.1) | ||
| Islam | 8.77(2.0) | ||
| Years of practice of respondents | 2.735 | 0.030 | |
| 1-5 | 9.39(2.0) | ||
| 6-10 | 9.00(1.7) | ||
| 11-15 | 8.80(1.9) | ||
| 16-20 | 8.95(2.1) | ||
| >20 | 7.75(2.9) | ||
| Average number of customers attended to daily | 0.767 | 0.574 | |
| 1-10 | 9.45(2.2) | ||
| 11-20 | 8.99(1.9) | ||
| 21-30 | 9.14(1.8) | ||
| 31-40 | 8.23(2.5) | ||
| 41-50 | 8.79(2.6) | ||
| >50 | 8.88(2.3) | ||
| Smoking status of respondents | 7.315 | 0.007 | |
| Current smoker | 7.78(2.9) | ||
| Non-smoker | 9.14(1.9) |
F statistic