| Literature DB >> 32770990 |
Hussain Booalayan1, Mosa Abdualrasool1, Saad Al-Shanfari1, Abdulwahab Boujarwa1, Abdullah Al-Mukaimi1, Omar Alkandery1, Saeed Akhtar2.
Abstract
BACKGROUND: There is increasing evidence linking environmental tobacco smoke (ETS) exposure at homes to the development of asthma among adolescents. Few studies have addressed this issue in the Middle Eastern countries including Kuwait. Therefore, this cross-sectional study assessed the prevalence of ETS exposure at home, prevalence of asthma and other respiratory conditions and examined the ETS exposure at home and personal tobacco smoking as risk factors for self-reported asthma among high-school students in Kuwait.Entities:
Keywords: Adolescents; Asthma; Environmental tobacco smoke; Log-binomial model; Prevalence ratio
Mesh:
Substances:
Year: 2020 PMID: 32770990 PMCID: PMC7414674 DOI: 10.1186/s12889-020-09245-9
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Socio-demographic characteristics, cigarette smoking status and exposure to environmental tobacco smoke at home and prevalence of self-reported asthmaa among participants. October 2015 (N = 746)
| Characteristics | n | % |
|---|---|---|
| Type of school | ||
| Government | 594 | 79.0 |
| Private | 157 | 21.0 |
| Age, mean (SD) | 16.78 (0.68) | |
| Gender | ||
| Male | 372 | 49.9 |
| Female | 374 | 50.1 |
| Nationality | ||
| Kuwaiti | 552 | 74.8 |
| Non-Kuwaiti | 186 | 25.2 |
| Income (Kuwaiti Dinars) | ||
| < 500 | 32 | 4.7 |
| 500–1000 | 126 | 18.3 |
| 1001–1500 | 144 | 20.9 |
| 1501–2000 | 105 | 15.3 |
| > 2000 | 281 | 40.8 |
| Respondent smoking status (cigarettes per day) | ||
| None | 643 | 87.6 |
| Less than 10 | 45 | 6.1 |
| 10 or More | 46 | 6.3 |
| Smoking duration | ||
| < 1 year | 13 | 14.6 |
| Between 1 and 2 years | 21 | 23.6 |
| > 2 years | 55 | 61.8 |
| Smokers at home | ||
| None | 338 | 45.9 |
| One or more | 398 | 54.1 |
| ETS exposure at public places (hours per week) | ||
| < 3 | 336 | 47.7 |
| 3 to 6 | 205 | 29.1 |
| 6 to 9 | 75 | 10.6 |
| > 9 | 89 | 12.6 |
| Wheezing ever | ||
| Yes | 197 | 26.2 |
| No | 554 | 73.8 |
| Wheezing in the last 12 months | ||
| Yes | 151 | 20.1 |
| No | 600 | 79.9 |
| Physician-diagnosed asthma | ||
| Yes | 123 | 16.4 |
| No | 628 | 83.6 |
| Self-reported asthma status | ||
| Yes | 154 | 20.5 |
| No | 597 | 79.5 |
a Diagnosed as per ISAAC criteria
Univariable analysis of adolescents’ characteristics associated with their self-reported asthma status in Kuwait: A cross-sectional study, October 2015 (n = 746)
| Characteristics | Total | Self-reported asthmaa | Unadjusted prevalence ratio (95% CI) | |
|---|---|---|---|---|
| Gender | 0.163 | |||
| Female | 374 | 69 (18.4) | 1.00 | |
| Male | 372 | 85 (22.8) | 1.24 (0.93–1.64) | |
| Nationality | 0.865 | |||
| Non-Kuwaiti | 186 | 37 (19.9) | 1.00 | |
| Kuwaiti | 552 | 115 (20.8) | 1.05 (0.76–1.47) | |
| Income (Kuwaiti Dinars) | 0.974c | |||
| < 500 | 32 | 5 (15.6) | 1.00 | |
| 500–1000 | 126 | 28 (22.2) | 1.42 (0.60–3.39) | |
| 1001–1500 | 144 | 33 (22.9) | 1.38 (0.58–3.30) | |
| 1501–2000 | 105 | 19 (18.1) | 1.34 (0.54–3.33) | |
| > 2000 | 281 | 64 (22.8) | 1.69 (0.73–3.92) | |
| Respondent’s current smoking status | < 0.001 | |||
| No | 643 | 119 (18.5) | 1.00 | |
| Yes | 91 | 33 (36.3) | 1.96 (1.43–2.69) | |
| Number of smokers at home | < 0.001 | |||
| None | 338 | 50 (14.8) | 1.00 | |
| One or more | 398 | 103 (25.9) | 1.75 (1.29–2.37) | |
| ETS exposure at public places (hours per week) | 0.013 | |||
| < 3 | 336 | 58 (17.3) | 1.00 | |
| ≥ 3 | 369 | 93 (25.2) | 1.46 (1.09–1.96) | |
ETS Environmental Tobacco Smoke
aDiagnosed as per ISAAC criteria
bp-values are for Yate’s corrected Chi-squared statistic unless stated otherwise,
cp-value for Chi-squared statistic for trend
Multivariable log-binomial regression modela of the variables associated with the respondent’s self-reported asthma status in Kuwait: A cross-sectional study, October 2015
| Variables | Self-reported asthma status (yes vs. no) b | |
|---|---|---|
| Adjusted prevalence ratio (95% confidence interval) | ||
| Respondent current smoking status (yes vs. no) | 1.82 (1.30–2.56) | 0.001 |
| Number of smokers at home (one or more vs. none) | 1.64 (1.21–2.23) | 0.002 |
a The model was adjusted for age, gender and total family income (Kuwaiti Dinars/ month)
b Diagnosed as per ISAAC criteria