| Literature DB >> 33262682 |
Miaw Y J Ling1, Kuang H Lim2, Wan Shakira R Hasani1, Halizah M Rifin1, Nur Liana A Majid1, Tania G R Lourdes1, Thamil A Saminathan1, Ying Y Chan1, Ahzairin Ahmad1, Hasimah Ismail1, Muhammad Fadhli M Yusoff1.
Abstract
INTRODUCTION: Many studies have revealed that exposure to secondhand smoke (SHS) substantially increases the risk of smoking related diseases especially among the vulnerable groups, yet data on the location of SHS exposure among youth in Malaysia are still lacking. The study aims to describe the prevalence and factors associated with SHS exposure at home, outside the home, and inside the school among school-going adolescents in Malaysia.Entities:
Keywords: home; nationwide study; outside the home; school-going adolescents; secondhand smoke
Year: 2020 PMID: 33262682 PMCID: PMC7694740 DOI: 10.18332/tid/128622
Source DB: PubMed Journal: Tob Induc Dis ISSN: 1617-9625 Impact factor: 2.600
Sociodemographic characteristics and current smoking status among school-going adolescents in Malaysia, 2016 (N=13136)
| Male | 6582 | 50.1 |
| Female | 6554 | 49.9 |
| ≤12 | 4138 | 31.5 |
| 13–15 | 5278 | 40.2 |
| ≥16 | 3720 | 28.3 |
| Malay | 9243 | 70.4 |
| Chinese | 1764 | 13.4 |
| Indian | 748 | 5.7 |
| Bumiputra Sabah | 545 | 4.2 |
| Bumiputra Sarawak | 447 | 3.4 |
| Other | 385 | 2.9 |
| Urban | 7688 | 58.5 |
| Rural | 5448 | 41.5 |
| Yes | 1807 | 13.8 |
| No | 11329 | 86.2 |
Prevalence of secondhand smoke exposure among school-going adolescents in Malaysia by sociodemographic characteristics, 2016 (N=13136)
| 4644 | 37.8 | 35.8–39.9 | 6680 | 51.2 | 49.2–53.2 | 3714 | 27.3 | 25.1–29.5 | |
| Male | 2352 | 37.6 | 35.2–40.1 | 3527 | 53.2 | 50.9–55.5 | 2251 | 31.9 | 29.2–34.7 |
| Female | 2292 | 38.1 | 35.3–40.9 | 3153 | 49.1 | 46.7–51.5 | 1463 | 22.4 | 20.1–24.9 |
| ≤12 | 1360 | 32.9 | 29.7–36.3 | 1774 | 43.2 | 40.5–46.0 | 854 | 20.9 | 18.1–24.1 |
| 13–15 | 1890 | 40.2 | 36.9–43.7 | 2722 | 53.8 | 50.2–57.5 | 1510 | 27.6 | 23.7–31.9 |
| ≥16 | 1394 | 41.5 | 38.0–45.0 | 2184 | 59.3 | 56.2–62.4 | 1350 | 36.5 | 32.5–40.7 |
| Malay | 3582 | 41.6 | 39.0–44.2 | 5140 | 56.1 | 53.6–58.5 | 2773 | 28.2 | 25.4–31.2 |
| Chinese | 361 | 21.3 | 18.6–24.2 | 570 | 33.1 | 28.5–38.0 | 369 | 20.9 | 17.3–25.1 |
| Indian | 119 | 16.8 | 13.5–20.7 | 241 | 32.1 | 26.4–38.3 | 178 | 25.4 | 20.9–30.5 |
| Bumiputra Sabah | 229 | 44.2 | 38.6–50.5 | 300 | 55.5 | 47.5–63.3 | 144 | 23.7 | 19.3–28.8 |
| Bumiputra Sarawak | 218 | 48.5 | 42.5–54.5 | 263 | 59.3 | 53.8–64.6 | 157 | 39.3 | 27.5–52.4 |
| Other | 133 | 36.2 | 28.4–44.8 | 164 | 40.6 | 32.6–49.0 | 91 | 23.5 | 18.3–29.7 |
| Urban | 2392 | 31.1 | 28.6–33.6 | 3730 | 44.9 | 42.6–47.2 | 2063 | 25.1 | 22.7–27.7 |
| Rural | 2252 | 43.4 | 40.7–46.2 | 2950 | 56.5 | 53.6–59.4 | 1651 | 29.1 | 25.7–32.7 |
| Yes | 1050 | 62.1 | 57.8–66.2 | 1398 | 76.5 | 73.5–79.2 | 897 | 46.9 | 42.6–51.3 |
| No | 3594 | 33.8 | 31.8–35.8 | 5282 | 47.0 | 45.0–49.0 | 2817 | 24.0 | 21.9–26.2 |
| Yes | 3211 | 37.9 | 35.6–40.2 | 4792 | 53.5 | 51.2–55.8 | 2608 | 27.5 | 25.2–29.9 |
| No | 1430 | 37.6 | 34.5–40.9 | 1884 | 46.5 | 43.3–49.8 | 1104 | 26.8 | 24.0–29.8 |
Simple logistic regression analysis for factors associated with secondhand smoke exposure among school-going adolescents in Malaysia, 2016 (N=13136)
| Male | 1.03 (0.96–1.11) | 0.354 | 1.25 (1.16–1.33) | <0.001 | 1.81 (1.68–1.96) | <0.001 |
| Female (Ref.) | 1.00 | 1.00 | 1.00 | |||
| ≤12 (Ref.) | 1.00 | 1.00 | 1.00 | |||
| 13–15 | 1.14 (1.05–1.24) | 0.003 | 1.42 (1.31–1.54) | <0.001 | 1.54 (1.40–1.70) | <0.001 |
| ≥16 | 1.22 (1.12–1.34) | <0.001 | 1.89 (1.73–2.07) | <0.001 | 2.19 (1.98–2.42) | <0.001 |
| Malay | 2.46 (2.18–2.78) | <0.001 | 2.63 (2.36–2.93) | <0.001 | 1.62 (1.44–1.84) | <0.001 |
| Chinese (Ref.) | 1.00 | 1.00 | 1.00 | |||
| Indian | 0.74 (0.59–0.92) | 0.008 | 1.00 (0.83–1.20) | 0.963 | 1.18 (0.96–1.45) | 0.110 |
| Bumiputra Sabah | 2.82 (2.29–3.46) | <0.001 | 2.57 (2.11–3.12) | <0.001 | 1.36 (1.09–1.70) | 0.007 |
| Bumiputra Sarawak | 3.70 (2.97–4.60) | <0.001 | 2.99 (2.42–3.71) | <0.001 | 2.05 (1.63–2.57) | <0.001 |
| Other | 2.05 (1.61–2.61) | <0.001 | 1.55 (1.24–1.95) | <0.001 | 1.17 (0.90–1.53) | 0.229 |
| Urban | 1.00 | 1.00 | 1.00 | |||
| Rural | 1.56 (1.45–1.68) | <0.001 | 1.25 (1.17–1.34) | <0.001 | 1.19 (1.10–1.28) | <0.001 |
| Yes | 2.99 (2.70–3.31) | <0.001 | 3.91 (3.48–4.39) | <0.001 | 3.00 (2.71–3.32) | <0.001 |
| No | 1.00 | 1.00 | 1.00 | |||
| Yes (Ref.) | 1.00 | 1.00 | 1.00 | |||
| No | 1.04 (0.96–1.12) | 0.351 | 0.82 (0.76–0.88) | <0.001 | 0.96 (0.89–1.05) | 0.386 |
OR: odds ratio.
Multiple logistic regression analysis for factors associated with secondhand smoke exposure among school-going adolescents in Malaysia, 2016 (N=13136)
| Male | 0.85 (0.79–0.92) | <0.001 | 1.08 (1.01–1.17) | 0.043 | 1.62 (1.49–1.77) | <0.001 |
| Female (Ref.) | 1.00 | 1.00 | 1.00 | |||
| ≤12 (Ref.) | 1.00 | 1.00 | 1.00 | |||
| 13–15 | 1.09 (1.00–1.19) | 0.053 | 1.39 (1.27–1.51) | <0.001 | 1.52 (1.37–1.67) | <0.001 |
| ≥16 | 1.17 (1.06–1.29) | 0.002 | 1.91 (1.73–2.10) | <0.001 | 2.26 (2.03–2.51) | <0.001 |
| Malay | 2.10 (1.85–2.38) | <0.001 | 2.50 (2.24–2.80) | <0.001 | 1.58 (1.39–1.80) | <0.001 |
| Chinese (Ref.) | 1.00 | 1.00 | 1.00 | |||
| Indian | 0.69 (0.55–0.87) | 0.002 | 0.98 (0.81–1.18) | 0.847 | 1.16 (0.94–1.43) | 0.160 |
| Bumiputra Sabah | 2.10 (1.70–2.60) | <0.001 | 2.07 (1.69–2.54) | <0.001 | 1.11 (0.88–1.39) | 0.403 |
| Bumiputra Sarawak | 2.96 (2.36–3.71) | <0.001 | 2.85 (2.28–3.56) | <0.001 | 1.98 (1.56–2.51) | <0.001 |
| Other | 1.80 (1.41–2.30) | <0.001 | 1.57 (1.24–1.99) | <0.001 | 1.22 (0.93–1.61) | 0.146 |
| Urban (Ref.) | 1.00 | 1.00 | 1.00 | |||
| Rural | 1.35 (1.26–1.46) | <0.001 | 1.08 (1.01–1.17) | 0.036 | 1.11 (1.02–1.20) | 0.014 |
| Yes | 2.87 (2.57–3.21) | <0.001 | 3.46 (3.05–3.92) | <0.001 | 2.25 (2.01–2.51) | <0.001 |
| No (Ref.) | 1.00 | 1.00 | 1.00 | |||
| Yes (Ref.) | 1.00 | 1.00 | 1.00 | |||
| No | 0.97 (0.89–1.05) | 0.462 | 0.77 (0.71–0.84) | <0.001 | 0.91 (0.83–0.99) | 0.030 |
AOR: adjusted odds ratio; adjusted for gender, age group, ethnicity, school location, current smoking status and perception of SHS as harmful.
Multicollinearity and interactions were checked and not found. Hosmer–Lemeshow test p=0.063; Classification table (overall correctly classified percentage = 67%); ROC curve = 65%.
Multicollinearity and interactions were checked and not found. Hosmer–Lemeshow test p=0.089; Classification table (overall correctly classified percentage = 62%); ROC curve = 67%.
Multicollinearity and interactions were checked and not found. Hosmer–Lemeshow test p=0.092; Classification table (overall correctly classified percentage = 73%); ROC curve = 65%.