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  1. Ling MYJ, Lim KH, Hasani WSR, Rifin HM, Majid NLA, Lourdes TGR, et al.
    Tob Induc Dis, 2020;18:96.
    PMID: 33262682 DOI: 10.18332/tid/128622
    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.

    METHODS: We derived the data from the TECMA study, which used a cross-sectional study design and multi-stage sampling method to obtain a representative sample of school-going adolescents aged 11-19 years in Malaysia in 2016. Data were collected through a self-administered approach using a pre-validated standard questionnaire. Descriptive and multivariate analyses were used to analyze the data, and results are presented as adjusted odds ratio (AOR) with 95% confidence interval (95% CI).

    RESULTS: SHS exposure for the past seven days was higher outside the home (51.2%; 95% CI: 49.2-53.2) compared to at home (37.8%; 95% CI: 35.8-39.9) while 27.3% (95% CI: 25.1-29.5) of school-going adolescents reported exposure to SHS inside the school in the past one month. In the regression analyses, older adolescents, those of Malay and Bumiputra Sarawak ethnicities, adolescents from rural areas and current smokers had higher likelihood of exposure to SHS at home, outside home and inside the school. Our study also found that adolescents who were current smokers had higher odds of being exposed to SHS at home (AOR=2.87; 95% CI: 2.57-3.21), outside the home (AOR=3.46; 95% CI: 3.05-3.92) and in the school (AOR=2.25; 95% CI: 2.01-2.51).

    CONCLUSIONS: Health promotion measures should target parents/guardians and household members to reduce SHS exposure among adolescents. In addition, smoke-free regulation should be fully enforced in school. Furthermore, more public places should be designated non-smoking areas to reduce SHS exposure and denormalize smoking behavior.

  2. Hasani WSR, Ganapathy SS, Lin CZ, Rifin HM, Bahari MN, Ghazali MH, et al.
    Western Pac Surveill Response J, 2021 02 16;12(1):46-52.
    PMID: 34094624 DOI: 10.5365/wpsar.2020.11.3.007
    Background: Pre-existing comorbidities can predict severe disease requiring intensive care unit (ICU) admission among COVID-19 cases. We compared comorbidities, clinical features and other predictive factors between COVID-19 patients requiring ICU admission for intubation/mechanical ventilation and all other COVID-19 cases in Selangor, Malaysia.

    Method: Field data collected during the COVID-19 outbreak in Selangor, Malaysia, up to 13 April 2020 were used, comprising socio-demographic characteristics, comorbidities and presenting symptoms of COVID-19 cases. ICU admission was determined from medical records. Multiple logistic regression analysis was performed to identify factors associated with ICU admission requiring intubation/mechanical ventilation among COVID-19 cases.

    Results: A total of 1287 COVID-19-positive cases were included for analysis. The most common comorbidities were hypertension (15.5%) and diabetes (11.0%). More than one third of cases presented with fever (43.8%) or cough (37.1%). Of the 25 cases that required intubation/mechanical ventilation, 68.0% had hypertension, 88.0% had fever, 40.0% had dyspnoea and 44.0% were lethargic. Multivariate regression showed that cases that required intubation/mechanical ventilation had significantly higher odds of being older (aged 360 years) [adjusted odds ratio (aOR) = 3.9] and having hypertension (aOR = 5.7), fever (aOR = 9.8), dyspnoea (aOR = 9.6) or lethargy (aOR = 7.9) than cases that did not require intubation/mechanical ventilation.

    Conclusion: The COVID-19 cases in Selangor, Malaysia requiring intubation/mechanical ventilation were significantly older, with a higher proportion of hypertension and symptoms of fever, dyspnoea and lethargy. These risk factors have been reported previously for severe COVID-19 cases, and highlight the role that ageing and underlying comorbidities play in severe outcomes to respiratory disease.

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