| Literature DB >> 31404115 |
Md Imdadul Haque1, Abm Alauddin Chowdhury1, Muhammad Shaikh Hassan2, Hafiz T A Khan3, Md Golam Dostogir Harun1.
Abstract
BACKGROUND: Millions of children and others across the world are being dangerously exposed to tobacco smoke and toxins in their own homes. Whilst there is limited interest in laws and interventions controlling tobacco use in public places in Bangladesh, no attention has been given to preventing tobacco-use inside homes. This study explores the familial and socio-cultural factors that provide obstacles for ensuring tobacco-free homes in Bangladesh.Entities:
Mesh:
Year: 2019 PMID: 31404115 PMCID: PMC6690649 DOI: 10.1371/journal.pone.0220777
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Selecting the target samples (N = 11,853).
Socio-demographic characteristics of the participants by their place of tobacco consumptions.
| Demographic characteristics | Place of Tobacco use by participants = 400 | P value | ||
|---|---|---|---|---|
| At home | Outside home | |||
| ≤ 30 Years | 28 (10.7) | 234 (89.3) | 25.94 | <0.001 |
| >30 Years | 43 (31.2) | 95 (68.8) | ||
| Male | 60 (15.5) | 327 (84.5) | 41.14 | <0.001 |
| Female | 11 (84.6) | 2 (15.4) | ||
| Unmarried | 17 (9.1) | 170 (90.9) | 18.03 | <0.001 |
| Married | 54 (25.4) | 159 (74.6) | ||
| With family | 54 (18.2) | 243 (81.8) | 0.15 | 0.112 |
| Alone/Outside family | 17 (16.5) | 86 (8.5) | ||
| Nuclear Family | 42 (14.3) | 251 (85.7) | 8.75 | 0.002 |
| Joint Family | 29 (27.1) | 78 (72.9) | ||
| Primary- Secondary | 29 (23.8) | 93 (76.2) | 11.86 | <0.001 |
| Higher education | 42 (15.1) | 236 (84.9) | ||
| Low and middle income | 21 (19.3) | 88 (80.7) | 0.24 | 0.102 |
| Upper and high income | 50 (17.2) | 241 (82.8) | ||
* Fisher’s exact test was used as some of the expected cell value (for sex) found <5.
Fig 2Prevalence of tobacco use at home by participants and other family members in the study areas (At household level) (n = 400).
Adjusted risk factors associated with place of tobacco use in urban Bangladesh.
| Characteristics/ Risk factors | Bivariate analysis | P-value | Multivariate analysis | P-value | |
|---|---|---|---|---|---|
| ≤ 30 Years | 1 | 1 | |||
| >30 Years | 3.78 (2.22–6.44) | <0.001 | 3.13 (1.45–6.78) | 0.004 | |
| Unmarried | 1 | 1 | |||
| Married | 3.39 (1.89–6.10) | <0.001 | 3.23 (1.37–6.61) | <0.001 | |
| Low and middle income | 1 | 1 | |||
| Upper and high income | 1.15 (.65–2.02) | 0.627 | .66 (.33-.1.30) | 0.234 | |
| Living with family | 1 | 1 | |||
| Living alone/others | 1.12 (.62–2.04) | 0.701 | . 69 (.35–1.37) | 0.298 | |
| Higher education | 1 | 1 | |||
| Primary- Secondary | 2.46 (1.46–4.16) | <0.001 | 2.14 (1.15–3.99) | 0.016 | |
| Nuclear family | 1 | 1 | |||
| Joint family | .45 (.26-.77) | 0.004 | .49 (.28-.85) | 0.0490 | |
| Non-working | 1 | 1 | |||
| Working | .40 (.21-.75) | 0.005 | .96 (.44–2.12) | 0.932 | |
| Practice | 1 | 1 | |||
| Lack of Practice | 2.25 (1.20-.4.21) | 0.011 | 2.39 (1.27-.4.54) | 0.019 | |
| No | 1 | 1 | |||
| Yes | 1.97 (1.28–2.28) | <0.001 | 1.81 (0.91–2.89) | 0.031 | |
| No | 1 | 1 | |||
| Yes | .79(.47–1.35) | 0.402 | .61 (.34–1.07) | 0.089 | |
| No | 1 | 1 | |||
| Yes | .66 (.40–1.13) | 0.140 | .70 (.40–1.21) | 0.202 | |
| No | 1 | 1 | |||
| Yes | 2.07 (1.14–3.79) | 0.017 | 2.28 (1.21–4.29) | 0.148 | |
| No | 1 | 1 | |||
| Yes | .89 (.36–2.21) | 0.798 | .94 (.35–2.46) | 0.903 | |
| No | 1 | 1 | |||
| Yes | 1.81 (.94–3.51) | 0.003 | 1.85 (.94–2.95) | 0.004 | |
| No | 1 | 1 | |||
| Yes | .49 (.14–1.67) | 0.257 | .41 (.11–1.45) | 0.406 | |
| No | 1 | 1 | |||
| Yes | 1.29 (.77–2.16) | 0.337 | 1.31 (.76–2.26) | 0.325 | |
OR* = Odds Ratio; Reference category = Tobacco use at home