| Literature DB >> 30627001 |
Hamzeh Al Zabadi1, Samar Musmar2, Ayah Hassouna2, Doa'a Shtaiwi2.
Abstract
BACKGROUND: Tobacco use is one of the major public health threats nowadays. Smoking can affect everybody organ. Health professionals should play pivotal roles in tobacco control, and their attitude and practice toward tobacco use can affect the health of the community. Therefore, assessing and influencing physicians' attitudes and practice are one of the alternatives to reduce smoking prevalence in the community. We aimed to assess smoking status among medical physicians in the West Bank, Palestine to better understand their future role in any smoking cessation program.Entities:
Keywords: Palestine; physicians; smoking; tobacco; water pipe
Year: 2018 PMID: 30627001 PMCID: PMC6311560 DOI: 10.1177/1179173X18813369
Source DB: PubMed Journal: Tob Use Insights ISSN: 1179-173X
Figure 1.Prevalence of current smoking among different types of smoking (Y-axis represents percentages).
Socio-demographic characteristics of the study participants by smoking status (n = 502).
| Variable | Non-smoker, n (%) | Smoker, n (%) | χ2, |
|---|---|---|---|
| Gender | |||
| Male | 273 (67.9%) | 129 (32.1%) |
|
| Female | 30 (30%) | 70 (70%) | |
| City | |||
| North cities (Nablus, Tubas, Qalqilya, Jenin, Tulkarem, Selfit) | 104 (56.2%) | 81 (43.8%) | .329 |
| South cities (Hebron, Bethlahem) | 107 (63.7%) | 61 (36.3%) | |
| Middle cities (Ramallah, Jerusalem, Jericho) | 92 (61.7%) | 57 (38.3%) | |
| Age | |||
| Mean, SD | 34.71 ± 10.17 | 35.26 ± 12.93 | .014 |
| Marital status | |||
| Married | 196 (62.8%) | 116 (37.2%) | .148 |
| Other (single, divorce, and widow) | 107 (56.3%) | 83 (43.7%) | |
| Education | |||
| Higher degree of medicine (PhD, specialist) | 103 (62.4%) | 62 (37.6%) | .508 |
| First degree of medicine (master, bachelor, others) | 200 (59.3%) | 137 (40.7%) | |
| Type of specialty | |||
| Surgical (ENT, OBS/GYN, anesthesia) | 105 (66.5%) | 53 (33.5%) |
|
| Non surgical (internal medicine, pediatrics) | 98 (61.2%) | 62 (38.8%) | |
| Others (trainee/intern, academy) | 56 (49.6%) | 57 (50.4%) | |
| GP | 44 (62.0%) | 27 (38.0%) | |
| Professional status | |||
| Trainee/intern | 52 (48.1%) | 56 (51.9%) |
|
| Resident | 91 (65.9%) | 47 (34.1%) | |
| Attending physician | 140 (60.9%) | 90 (39.1%) | |
| Others (academy, director, vice director, head of department) | 20 (67.9%) | 6 (23.1%) | |
| Workplace | |||
| Hospitals (governmental, private, and NGO) | 244 (61.6%) | 152 (38.4%) | .445 |
| Non hospitals (private clinic, primary health care, and private medical centers) | 45 (54.2%) | 38 (45.8%) | |
| Both (hospital and private clinic) | 14 (60.9%) | 9 (39.1%) | |
Abbreviations: ENT, ear, nose, and throat specialist; GP, general practitioner; NGO, non-governmental organization; OBS/GYN, obstetrician and gynecologist; PhD, doctor of philosophy; SD, standard deviation.
t-test P-value.
Smoking knowledge stratified by smoking status of the participants (N = 502).
| Variable | Total, N (%) | Smoker, n (%) | Non-smoker, n (%) | χ2, |
|---|---|---|---|---|
| Smoking is harmful to health | ||||
| Disagree | 10 (2.0%) | 9 (90.0%) | 1 (10.0%) |
|
| Unsure | 15 (3.0%) | 13 (86.7%) | 2 (13.3%) | |
| Agree | 477 (95.0%) | 281 (58.9%) | 196 (41.1%) | |
| Neonatal death association with passive smoking | ||||
| Disagree | 40 (8.0%) | 33 (82.5%) | 7 (17.5%) |
|
| Unsure | 158 (31.5%) | 101 (63.9%) | 57 (36.1%) | |
| Agree | 304 (60.6%) | 169 (55.6%) | 135 (44.4%) | |
| Increased risk of Sudden Infant Death Syndrome with maternal smoking during pregnancy | ||||
| Disagree | 15 (3.0%) | 11 (73.3%) | 4 (26.7%) | .565 |
| Unsure | 62 (12.4%) | 38 (61.3%) | 24 (38.7%) | |
| Agree | 425 (84.7%) | 254 (59.8%) | 171 (40.2%) | |
| Increased risk of lung disease in passive smokers | ||||
| Disagree | 5 (1.0%) | 4 (80.0%) | 1 (20.0%) | .229 |
| Unsure | 44 (8.8%) | 31 (70.5%) | 13 (29.5%) | |
| Agree | 453 (90.2%) | 268 (59.2%) | 185 (40.8%) | |
| Increased risk of heart disease in passive smokers | ||||
| Disagree | 10 (2.0%) | 10 (100.0%) | 0 (0.0%) |
|
| Unsure | 51 (10.2%) | 34 (66.7%) | 17 (33.3%) | |
| Agree | 441 (87.8%) | 259 (58.7%) | 182 (41.3%) | |
| Increased risk of lower respiratory tract illnesses in case of paternal smoking | ||||
| Disagree | 5 (1.0%) | 4 (80.0%) | 1 (20.0%) |
|
| Unsure | 26 (5.2%) | 22 (84.6%) | 4 (15.4%) | |
| Agree | 471 (93.8%) | 277 (58.8%) | 194 (41.2%) | |
| Advising smoker patients to avoid smoking around children | ||||
| Disagree | 6 (1.2%) | 5 (83.3%) | 1 (16.7%) | .183 |
| Unsure | 14 (2.8%) | 11 (78.6%) | 3 (21.4%) | |
| Agree | 482 (96.0%) | 287 (59.5%) | 195 (40.5%) | |
Smoking attitudes stratified by smoking status of the participants (N = 502).
| Variable | Total, N (%) | Smoker, n (%) | Non-smoker, n (%) | χ2, |
|---|---|---|---|---|
| Health professionals serve as role models for their patients and the public |
| |||
| Disagree | 109 (21.7%) | 62 (56.9%) | 47 (43.6%) | |
| Unsure | 106 (21.1%) | 77 (72.6%) | 29 (27.4%) | |
| Agree | 287 (57.2%) | 164 (57.1%) | 123 (42.9%) | |
| Health professionals set a good example by not smoking |
| |||
| Disagree | 41 (8.2%) | 38 (92.7%) | 3 (7.3%) | |
| Unsure | 36 (7.2%) | 26 (72.2%) | 10 (27.8%) | |
| Agree | 425 (84.7%) | 239 (56.2%) | 186 (43.8%) | |
| Patient’s chances of quitting smoking will increase if a health professional advises him or her to quit |
| |||
| Disagree | 58 (11.6%) | 44 (75.9%) | 14 (24.1%) | |
| Unsure | 162 (32.3%) | 102 (63.0%) | 60 (37.0%) | |
| Agree | 282 (56.2%) | 157 (55.7%) | 125 (44.3%) | |
| Asking about patients’ smoking habits | .225 | |||
| Disagree | 6 (1.2%) | 3 (50.0%) | 3 (50.0%) | |
| Unsure | 22 (4.4%) | 17 (77.3%) | 5 (22.7%) | |
| Agree | 474 (94.4%) | 283 (59.7%) | 191 (40.3%) | |
| Advising patients to quit smoking |
| |||
| Disagree | 16 (3.2%) | 12 (75.0%) | 4 (25.0%) | |
| Unsure | 30 (6.0%) | 25 (83.3%) | 5 (16.7%) | |
| Agree | 456 (90.8%) | 266 (58.3%) | 190 (41.7%) | |
| Smokers are less likely to advise people to stop smoking | .061 | |||
| Disagree | 82 (16.3%) | 59 (72.0%) | 23 (28.0%) | |
| Unsure | 149 (29.7%) | 88 (59.1%) | 61 (40.9%) | |
| Agree | 271 (54.0%) | 156 (57.6%) | 115 (42.4%) | |
| Receiving training on cessation techniques | .055 | |||
| Disagree | 31 (6.2%) | 21 (67.7%) | 10 (23.3%) | |
| Unsure | 74 (14.7%) | 53 (71.6%) | 21 (28.4%) | |
| Agree | 397 (79.1%) | 229 (57.7%) | 168 (42.3%) | |
| Speaking to community groups about smoking |
| |||
| Disagree | 13 (2.6%) | 11 (84.6%) | 2 (15.4%) | |
| Unsure | 51 (10.2%) | 41 (80.4%) | 10 (19.6%) | |
| Agree | 438 (87.3%) | 251 (57.3%) | 187 (42.7%) | |
| Prohibition of smoking in enclosed public places |
| |||
| Disagree | 18 (3.6%) | 18 (100.0%) | 0 (0.0%) | |
| Unsure | 32 (6.4%) | 25 (78.1%) | 7 (21.9%) | |
| Agree | 452 (90.0%) | 260 (57.5%) | 192 (42.5%) | |
| Health warnings on cigarette packages in a big print |
| |||
| Disagree | 48 (9.6%) | 37 (77.1%) | 11 (22.9%) | |
| Unsure | 82 (16.3%) | 55 (67.1%) | 27 (32.9%) | |
| Agree | 372 (74.1%) | 211 (56.7%) | 161 (43.3%) | |
| Ban of tobacco sales to children and adolescents | .892 | |||
| Disagree | 3 (0.6%) | 2 (66.7%) | 1 (33.3%) | |
| Unsure | 4 (0.8%) | 2 (50.0%) | 2 (50.0%) | |
| Agree | 495 (98.6%) | 299 (60.4%) | 196 (39.6%) | |
| Ban of sport sponsorships by tobacco industry |
| |||
| Disagree | 24 (4.8%) | 20 (83.3%) | 4 (16.7%) | |
| Unsure | 62 (12.4%) | 41 (66.1%) | 21 (33.9%) | |
| Agree | 416 (82.9%) | 242 (58.2%) | 174 (41.8%) | |
| Ban on the advertising of tobacco products |
| |||
| Disagree | 16 (3.2%) | 15 (93.8%) | 1 (6.2%) | |
| Unsure | 54 (10.8%) | 40 (74.1%) | 14 (25.9%) | |
| Agree | 432 (86.1%) | 248 (57.4%) | 184 (42.6%) | |
| Smoke-free hospitals and health care centers |
| |||
| Disagree | 13 (2.6%) | 13 (100.0%) | 0 (0.0%) | |
| Unsure | 24 (4.8%) | 22 (91.7%) | 2 (8.3%) | |
| Agree | 465 (92.6%) | 268 (57.6%) | 197 (42.4%) | |
| Increase price of tobacco products sharply |
| |||
| Disagree | 143 (28.5%) | 127 (88.8%) | 16 (11.2%) | |
| Unsure | 105 (20.9%) | 62 (59.0%) | 43 (41.0%) | |
| Agree | 254 (50.6%) | 114 (44.9%) | 140 (55.1%) | |
Worksite practice stratified by smoking status of the participants (N = 502).
| Variable | Total, N (%) | Smoker, n (%) | Non-smoker, n (%) | χ2, |
|---|---|---|---|---|
| Workplace/practice location | .773 | |||
| Urban | 476 (94.8%) | 289 (60.7%) | 187 (39.3%) | |
| Rural | 22 (4.4%) | 12 (54.5%) | 10 (45.5%) | |
| Camp | 4 (0.8%) | 2 (50.0%) | 2 (50.0%) | |
| Sort of smoke-free policy available in workplace | .618 | |||
| Smoking policy is available in workplace | 160 (31.9%) | 135 (59.5%) | 92 (40.5%) | |
| No smoking policy is in workplace | 227 (45.2%) | 94 (58.8%) | 66 (41.2%) | |
| Smoking rooms are available | 28 (5.6%) | 20 (71.4%) | 8 (28.6%) | |
| No smoking allowed at all in the building | 87 (17.3%) | 54 (62.1%) | 33 (37.9%) | |
| Availability of traditional remedies (eg, acupuncture, herbal teas) | 43 (8.6%) | 30 (69.8%) | 13 (30.2%) | .187 |
| Availability of self-help materials(eg, health education booklets) | 147 (29.3%) | 87 (59.2%) | 60 (40.8%) | .729 |
| Availability of counseling | 353 (70.3%) | 210 (59.5%) | 143 (40.5%) | .540 |
| Availability of medications (nicotine gum, patch, bupropion) | 129 (25.7%) | 78 (60.5%) | 51 (39.5%) | .977 |
| Usage of traditional remedies (eg, acupuncture, herbal teas) | 38 (7.6%) | 23 (60.5%) | 15 (39.5%) | .982 |
| Usage of self- help materials(eg, health education booklets) | 150 (29.9%) | 82 (54.7%) | 68 (45.3%) | .089 |
| Usage of counseling | 367 (73.1%) | 220 (59.9%) | 147 (40.1%) | .755 |
| Usage of medications (nicotine gum, patch, bupropion) | 108 (21.5%) | 66 (61.1%) | 42 (38.9%) | .857 |
| Preparation physician feels when counseling patients on how to stop smoking |
| |||
| Very well prepared | 231 (46.0%) | 116 (50.2%) | 115 (49.8%) | |
| Somewhat prepared | 204 (40.6%) | 142 (69.6%) | 62 (30.4%) | |
| Not at all prepared | 67 (13.3%) | 45 (67.2%) | 22 (32.8%) | |
| Ever received any formal training in smoking cessation approaches to use with patients | .163 | |||
| No. did not | 285 (56.8%) | 164 (57.5%) | 121 (42.5%) | |
| Formal training during medical study | 61 (12.2%) | 44 (72.1%) | 17 (27.9%) | |
| Formal training during specialization programs | 25 (5.0%) | 17 (68.0%) | 8 (32.0%) | |
| Special conferences, seminars or workshops | 131 (26.1%) | 78 (59.5%) | 53 (40.5%) | |