| Literature DB >> 35800538 |
Ridhima Gaunkar1, Vinita Sanjeevan1, Akshatha Gadiyar1, Vinayak Kamath1, Soni Rajput1, Amita K Kamat1.
Abstract
Objective: The use of tobacco has proven to be one of the leading cause of preventable premature deaths and diseases across the globe. The World Health Organization (WHO) claims that tobacco consumption alone kills more people annually as compared to Acquired Immunodeficiency Syndrome (AIDS), alcohol, and other addictions (drugs, etc.) put together. Although the Cigarettes and Other Tobacco Products Act (COTPA) is a powerful Indian national law to curb the tobacco epidemic, the effectiveness of its implementation remains disputed. The current study aims to examine the role of the security guards in the implementation of the COTPA by assessing their awareness. Method: A cross-sectional questionnaire-based study was conducted among 258 security guards in Goa to ascertain the knowledge regarding the tobacco legislation in the country. A self-administered 20-item close-ended questionnaire was used to collect information regarding the demographic variables, tobacco use, and knowledge regarding COTPA. Data analysis was done using SPSS version 22.0.Entities:
Keywords: Awareness; India; law enforcement; tobacco
Year: 2022 PMID: 35800538 PMCID: PMC9254839 DOI: 10.4103/jfmpc.jfmpc_1873_21
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Distribution of study participants according to the sociodemographic status, awareness regarding tobacco, and knowledge scores
| Frequency | Percentage | |
|---|---|---|
| Age | ||
| <25 Years | 85 | 32.9 |
| 26-35 Years | 121 | 46.9 |
| >36 Years | 52 | 20.2 |
| Gender | ||
| Male | 187 | 72.5 |
| Female | 71 | 27.5 |
| Education | ||
| Illiterate | 1 | 0.4 |
| Middle school | 73 | 28.3 |
| Secondary school | 139 | 53.9 |
| Higher secondary | 44 | 17.1 |
| Diploma | 1 | 0.4 |
| Years in service | ||
| <1 Year | 65 | 25.2 |
| 2-3 Years | 74 | 28.7 |
| >3 Years | 119 | 46.1 |
| Tobacco use | ||
| Yes | 41 | 15.9 |
| No | 217 | 84.1 |
| Form of tobacco | ||
| 1 | 13 | 31.7 |
| 2 | 25 | 61.0 |
| 3 | 3 | 7.3 |
| Awareness regarding presence of COTPA | ||
| Yes | 177 | 68.6 |
| No | 81 | 31.4 |
| Knowledge score | ||
| <7 | 57 | 22.1 |
| 7-10 | 183 | 70.9 |
| >10 | 18 | 7.0 |
Awareness regarding COTPA and adverse effects of tobacco use among study participants
| Awareness about | Absent | Present |
|---|---|---|
| Prohibition of smoking at public places | 55 (21.3%) | 203 (78.7%) |
| Penalty amount if found smoking in areas prohibited by the law | 70 (27.1%) | 188 (72.9%) |
| Ban on sale of tobacco products near schools/colleges | 17 (6.6%) | 241 (93.4%) |
| Legal age for buying or selling tobacco products | 130 (50.4%) | 128 (49.6%) |
| Display of pictorial health warnings on tobacco products | 24 (9.3%) | 234 (90.7%) |
| Health problems caused due to tobacco use | 108 (41.9%) | 150 (58.1%) |
| Harmful nature of passive smoking | 23 (8.9%) | 235 (91.1%) |
| Ban on advertisements related to tobacco | 176 (68.2%) | 82 (31.8%) |
| Ban on sale of loose cigarettes | 175 (67.8%) | 83 (32.2%) |
| Authority to be reported in case of violation | 146 (56.6%) | 112 (43.4%) |
| Ban on presence of ashtrays, matchsticks, and lighters in no smoking zones | 72 (27.9%) | 186 (72.1%) |
| Existence of a national tobacco quit line number | 176 (68.2%) | (31.8%) |
| Places that can have separate smoking zones | 135 (52.3%) | 123 (47.7%) |
Figure 1Knowledge scores among the study participants
Comparison of knowledge scores according to the demographic variables of the study participants
|
| Mean (SD) | Range | Median (Q1-Q3) |
| |
|---|---|---|---|---|---|
| Age | |||||
| <25 Years | 85 | 8.04 (2.09) | 0-11 | 8 (7-9) | 0.75 (NS)# |
| 26-35 Years | 121 | 7.88 (1.99) | 0-12 | 8 (6.5-9) | |
| >36 Years | 52 | 7.9 (2.03) | 2-12 | 8 (7-9) | |
| Gender | |||||
| Male | 187 | 7.98 (1.97) | 0-12 | 8 (7-9) | 0.80 (NS)## |
| Female | 71 | 7.82 (2.17) | 0-12 | 8 (7-9) | |
| Years in service | |||||
| <1 Year | 65 | 7.89 (2.24) | 0-11 | 8 (7-9.5) | 0.63 (NS)# |
| 2-3 Years | 74 | 8.05 (2.09) | 0-11 | 8 (7-10) | |
| >3 Years | 119 | 7.88 (1.87) | 3-12 | 8 (6-9) | |
| Education | |||||
| Illiterate + Middle school | 74 | 7.46 (1.96)a | 0-11 | 8 (6-9) | 0.009*,# |
| Secondary school | 139 | 8.01 (1.92) | 0-12 | 8 (7-9) | |
| Higher secondary + Diploma | 45 | 8.47 (2.32)a | 0-12 | 9 (7-10) | |
| Tobacco use | |||||
| Yes | 41 | 7.51 (1.85) | 3-11 | 8 (6-9) | 0.08 (NS)## |
| No | 217 | 8.01 (2.05) | 0-12 | 8 (7-10) |
#Kruskal-Wallis and ##Mann-Whitney U test. *P<0.05 significant (S), *P>0.05 nonsignificant (NS)
Association of knowledge scores with demographic factors and tobacco use
| Knowledge | Total | Chi-square test | ||||
|---|---|---|---|---|---|---|
|
|
| |||||
| <7 | 7-10 | >10 | Chi-square value |
| ||
| Age | ||||||
| <25 Years | 16 | 61 | 8 | 85 | 1.99 | 0.74 (NS) |
| 18.8% | 71.8% | 9.4% | 100.0% | |||
| 26-35 Years | 30 | 84 | 7 | 121 | ||
| 24.8% | 69.4% | 5.8% | 100.0% | |||
| >36 Years | 11 | 38 | 3 | 52 | ||
| 21.2% | 73.1% | 5.8% | 100.0% | |||
| Gender | ||||||
| Male | 40 | 131 | 16 | 187 | 2.66 | 0.27 (NS) |
| 21.4% | 70.1% | 8.6% | 100.0% | |||
| Female | 17 | 52 | 2 | 71 | ||
| 23.9% | 73.2% | 2.8% | 100.0% | |||
| Education | ||||||
| Illiterate + Middle school | 23 | 50 | 1 | 74 | 12.40 | 0.02* |
| 31.1% | 67.6% | 1.4% | 100.0% | |||
| Secondary school | 27 | 102 | 10 | 139 | ||
| 19.4% | 73.4% | 7.2% | 100.0% | |||
| Higher secondary + Diploma | 7 | 31 | 7 | 45 | ||
| 15.6% | 68.9% | 15.6% | 100.0% | |||
| Years in service | ||||||
| <1 Year | 12 | 48 | 5 | 65 | 1.56 | 0.82 (NS) |
| 18.5% | 73.8% | 7.7% | 100.0% | |||
| 2-3 Years | 15 | 53 | 6 | 74 | ||
| 20.3% | 71.6% | 8.1% | 100.0% | |||
| >3 Years | 30 | 82 | 7 | 119 | ||
| 25.2% | 68.9% | 5.9% | 100.0% | |||
| Tobacco use | ||||||
| Yes | 12 | 27 | 2 | 41 | 1.62 | 0.45 (NS) |
| 29.3% | 65.9% | 4.9% | 100.0% | |||
| No | 45 | 156 | 16 | 217 | ||
| 20.7% | 71.9% | 7.4% | 100.0% | |||
Chi-square test. *P<0.05 (S) and P>0.05 (NS)