| Literature DB >> 34177412 |
Kuang Hock Lim1, Sumarni Mohd Ghazali1, Hui Li Lim2, Yoon Ling Cheong1, Chee Cheong Kee3, Pei Pei Heng1, Tsye Yih Tiunh1, Mohd Hazilas Mat Hashim1, Jia Hui Lim4.
Abstract
INTRODUCTION: Secondhand (SHS) smoke exposure has caused various health problems. Therefore, continuous monitoring of SHS exposure is important to determine the efficacy of various anti-tobacco measure implemented. The study aims to compare the prevalence and factor(s) associated with SHS exposure among secondary school-going adolescents in Malaysia during 2012 and 2017.Entities:
Keywords: Malaysia Global Health School Survey; school-going adolescents; secondhand smoke
Year: 2021 PMID: 34177412 PMCID: PMC8204740 DOI: 10.18332/tid/136029
Source DB: PubMed Journal: Tob Induc Dis ISSN: 1617-9625 Impact factor: 2.600
Sociodemographic characteristics and parent/guardian smoking status of GSHS 2012 and GSHS 2017 respondents
| Male | 1126613 | 12732 | 50.2 (49.4–50.9) | 1064953 | 13135 | 49.6 (48.9–50.4) |
| Female | 1118911 | 12729 | 49.8 (49.1–50.6) | 1081492 | 14362 | 50.4 (49.6–51.1) |
| 13–15 | 1399022 | 16361 | 62.4 (60.5–64.8) | 1302499 | 16952 | 60.7 (59.9–61.4) |
| ≥16 | 847958 | 9086 | 37.4 (35.2–39.5) | 843946 | 10545 | 39.3 (38.6–40.1) |
| Malay | 1366133 | 17086 | 60.8 (56.5–64.9) | 1354538 | 18713 | 63.1 (62.4–63.8) |
| Other | 880085 | 8378 | 39.2 (35.41–43.5) | 791905 | 8784 | 36.9 (36.2–37.6) |
| Yes | 269079 | 2836 | 11.5 (10.4–12.7) | 295663 | 3595 | 13.8 (13.3–14.2) |
| No | 1981135 | 22671 | 88.0 (87.5–88.5) | 1850094 | 23892 | 86.2 (85.7–86.7) |
| Yes | 901410 | 10262 | 40.2 (39.5–40.9) | 865381 | 11083 | 43.6 (42.8–44.4) |
| No | 1340356 | 15150 | 59.8 (59.1–60.5) | 1120832 | 14510 | 56.4 (55.6–57.2) |
Prevalence of secondhand smoke (SHS) among school-going adolescents by sociodemographic characteristics, and parent and respondents smoking status
| Male | 560874 | 6257 | 50.0 (47.7–52.3) | 524065 | 6435 | 49.3 (48.2–50.4) |
| Female | 371577 | 4345 | 33.2 (31.6–34.9) | 376495 | 4950 | 34.9 (33.8–37.9) |
| 13–15 | 506121 | 6007 | 36.4 (34.8–38.1) | 483998 | 6203 | 37.2 (36.3–38.1) |
| ≥16 | 427291 | 4607 | 50.0 (47.5–52.6) | 416561 | 5182 | 49.4 (48.2–50.7) |
| Malay | 647575 | 7926 | 47.5 (45.2–49.8) | 609364 | 8278 | 45.1 (44.1–46.0) |
| Other | 285271 | 2677 | 32.5 (30.3–34.8) | 291196 | 3107 | 36.8 (35.6–38.1) |
| Yes | 221972 | 2360 | 86.9 (84.7–88.7) | 218363 | 2663 | 74.1 (72.3–75.9) |
| No | 705562 | 8186 | 35.7 (34.1–37.3) | 682197 | 8722 | 36.9 (36.8–37.7) |
| Yes | 506428 | 5784 | 56.3 (54.4–58.2) | 521306 | 6646 | 60.3 (59.1–61.4) |
| No | 363071 | 4169 | 30.1 (28.4–31.9) | 314075 | 3934 | 28.0 (27.1–29.0) |
Multiple logistic regression for the association between sociodemographic factors and SHS exposure in the GSHS-M 2012 and 2017
| Male | 1.50 (0.97–2.33) | 1.64 (1.52–1.77) | 4.46 (3.45–5.75) | 1.51 (1.40–1.62) |
| Female (Ref.) | 1 | 1 | 1 | 1 |
| 13–15 (Ref.) | 1 | 1 | 1 | 1 |
| ≥16 | 2.32 (1.55–3.48) | 1.77 (1.61–1.96) | 2.22 (1.75–2.82) | 1.83 (1.69–1.98) |
| Malay | 1.76 (1.21–2.54) | 1.72 (1.48–2.02) | 1.01 (0.80–1.28) | 1.31 (1.21–1.43) |
| Other (Ref.) | 1 | 1 | 1 | 1 |
| Yes | 1.62 (1.14–2.30) | 3.03 (2.73–3.33) | 3.07 (2.45–3.85) | 4.19 (3.88–4.52) |
| No (Ref.) | 1 | 1 | 1 | 1 |
AOR: adjusted odds ratio. Ref.: reference.