| Literature DB >> 34041150 |
Neha Choudhary1, Sonika Sangra1.
Abstract
INTRODUCTION: Consumption of tobacco leads to a myriad of ill effects among the smokers as well as those in their proximity. The study related to tobacco consumption was conducted among individuals over 15 years of age, residing in urban slums.Entities:
Keywords: Smokeless tobacco; tobacco consumption; urban slum
Year: 2021 PMID: 34041150 PMCID: PMC8140253 DOI: 10.4103/jfmpc.jfmpc_1428_20
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Age and Sex distribution of individuals residing in slums
| Age group (in years) | Male | Female | Total |
|---|---|---|---|
| 15-25 | 55 (22%) | 50 (20%) | 105 (21%) |
| 26-35 | 48 (19%) | 53 (21%) | 101 (20%) |
| 36-45 | 88 (35%) | 94 (37%) | 182 (36%) |
| 46-55 | 45 (18%) | 31 (12%) | 76 (15%) |
| 56-65 | 13 (5%) | 19 (7%) | 32 (6%) |
| >66 | 5 (2%) | 9 (3%) | 14 (3%) |
| Total | 254 (50%) | 256 (50%) | 510 |
Sociodemographic profile of respondants
| Male | Female | |
|---|---|---|
| Religion | ||
| Hindu | 92 (36.22%) | 89 (34.76%) |
| Muslim | 8 (3.14) | 11 (4.29%) |
| Christian | ||
| Sikh | ||
| Others | ||
| Type of Family | ||
| Joint | 59 (59%) | |
| Nuclear | 41 (41%) | |
| Income Per Month (Rs.) | ||
| <5000 | 5 (5%) | |
| 5000-49,999 | 95 (95%) | |
| 50,000-99,999 | - | |
| >100000 & above | - | |
| a) Education status | ||
| Illiterate | 72 | 55 |
| Primary | 15 | 16 |
| Middle | 9 | 6 |
| Secondary | 9 | 7 |
| Higher Secondary | 4 | 2 |
| Graduate | 3 | 2 |
| Postgraduate | - | - |
| Professional | - | - |
| b) Occupational status | ||
| Working | 92 | 84 |
| Non-working | 8 | 16 |
Age and Gender wise distribution on the pattern of Tobacco Consumption (Active and Passive)
| Tobacco consumption | Gender | Total | |
|---|---|---|---|
| Male ( | Female ( | ||
| Active smoking (Smokers) | |||
| 15-25 | 38 (69%) | 9 (18%) | 47 (45%) |
| 26-35 | 28 (58%) | 13 (25%) | 41 (41%) |
| 36-45 | 76 (86%) | 21 (22%) | 97 (53%) |
| 46-55 | 33 (73%) | 7 (23%) | 40 (53%) |
| 56-65 | 4 (33%) | 10 (53%) | 14 (44%) |
| >66 | 4 (80%) | 3 (33%) | 7 (50%) |
| 183 (72%) | 63 (25%) | 246 (48%) | |
| Exposed to Passive Smoking | |||
| 15-25 | 41 (75%) | 21 (42%) | 62 (59%) |
| 26-35 | 40 (75%) | 21 (40%) | 61 (60%) |
| 36-45 | 79 (90%) | 34 (36%) | 113 (62%) |
| 46-55 | 39 (87%) | 16 (52%) | 55 (72%) |
| 56-65 | 12 (92%) | 12 (63%) | 24 (75%) |
| >66 | 4 (80%) | 5 (56%) | 9 (64%) |
| 215 (85%) | 109 (43%) | 324 (64%) | |
Figure 1Pattern depicting frequency of active smoking, exposed to passive smoking and consumption of smokeless tobacco
Age in years and distribution according to gender of the respondents due to the consumption of smokeless tobacco
| Male | Female | Total | |
|---|---|---|---|
| Age group (in years) | |||
| 15-25 | 11 (20%) | 7 (14%) | 18 (17%) |
| 26-35 | 22 (46%) | 18 (34%) | 40 (40%) |
| 36-45 | 79 (90%) | 29 (33%) | 108 (59%) |
| 46-55 | 27 (60%) | 11 (35%) | 38 (50%) |
| 56-65 | 10 (77%) | 13 (68%) | 23 (72%) |
| >66 | 4 (80%) | 6 (67%) | 10 (71%) |
| 153 (60%) | 74 (29%) | 227 (45%) |