Dataset Information

Current e-cigarette use among in-school adolescents in West Malaysia: Examining the interactions between sociodemographic characteristics and lifestyle risk behaviours.

ABSTRACT:

Background

Adolescent e-cigarette use has increased dramatically. Most e-cigarette liquids contain nicotine, which can harm the developing adolescent brain. Local studies examining the risk factors of adolescent e-cigarette use and interactions between its risk factors are limited. This study was aimed at determining the prevalence of current e-cigarette use and its associated factors among in-school adolescents in West Malaysia. We also examined the possible sociodemographic characteristic, lifestyle risk behaviour and parental factor interactions that affect the probability of current e-cigarette use.

Methods

We conducted a cross-sectional study using data from the National Health and Morbidity Survey 2017. Respondents aged 13-18 years were included in the study. The data were analysed using STATA (v.15).

Results

The prevalence of current e-cigarette use was 9.1%. Male gender, older age, Malay ethnicity, schooling in urban area, current smoking, current alcohol use, current drug use, having parents that are not married and living together and parental tobacco product use were significantly associated with current e-cigarette use. There were significant interactions between: i) gender with age, ethnicity, current smoking, current alcohol use and current drug use, ii) ethnicity with current smoking and current alcohol use, iii) locality with ethnicity, current smoking and current alcohol use, iv) current drug use with age, ethnicity, current smoking and current alcohol use, v) parental marital status with gender, age and ethnicity, and vi) parental tobacco use with ethnicity and current smoking.

Conclusion

Our findings identify significant associations between sociodemographic characteristics, lifestyle risk behaviours and parental factors with current e-cigarette use. They also provide new insight into the interactions between these factors that affect the probability of current e-cigarette use among West Malaysian adolescents. Efforts to tackle e-cigarette use in Malaysian adolescents should target sociodemographic characteristics, lifestyle risk behaviours and parental factors such as smoking cessation intervention for parents.

SUBMITTER: Jane Ling MY

PROVIDER: S-EPMC8803165 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Current e-cigarette use among in-school adolescents in West Malaysia: Examining the interactions between sociodemographic characteristics and lifestyle risk behaviours.

Jane Ling Miaw Yn MY Ahmad Norfazilah N Mohd Yusoff Muhammad Fadhli MF Lim Kuang Hock KH

PloS one 20220131 1

<h4>Background</h4>Adolescent e-cigarette use has increased dramatically. Most e-cigarette liquids contain nicotine, which can harm the developing adolescent brain. Local studies examining the risk factors of adolescent e-cigarette use and interactions between its risk factors are limited. This study was aimed at determining the prevalence of current e-cigarette use and its associated factors among in-school adolescents in West Malaysia. We also examined the possible sociodemographic characteris ...[more]

PMID: 35100321

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Project description:Background: Adolescence is a crucial stage when young people adopt various lifestyle behaviours that can impact their health. However, the broader determinants of these behaviours remain underexplored. This study aimed to investigate clustering patterns of lifestyle behaviours, including physical activity, sedentary behaviour, and dietary habits, among adolescents and examine their determinants across individual, community, and societal levels. Methods: This study utilised nationally representative Global School-based Student Health Survey data. The lifestyle behaviours were dichotomised based on specific definitions, and the clustering patterns of multiple unhealthy behaviours were compared at various levels of factors. Multilevel logistic regression analysis was employed to identify individual, community, and societal level determinants of multiple unhealthy behaviours. Results: The study included 293,770 adolescents from 73 countries and territories across five World Health Organization (WHO) regions. The overall prevalence of one, two, three, four, and five unhealthy behaviours was 6.9%, 29.9%, 36.5%, 21.5%, and 4.5%, respectively. The odds of multiple unhealthy behaviours (defined by ≥4) increase with age and are higher among female adolescents [(AOR: 1.06, 95% CI:1.05, 1.07); (AOR: 1.16, 95% CI: 1.14, 1.19)], respectively. Adolescents from supportive families, peer environments, or food-secure households had lower odds of engaging in these behaviours [(AOR: 0.84, 95% CI: 0.82, 0.86); (AOR: 0.96, 95% CI: 0.94, 0.98); (AOR: 0.91, 95% CI: 0.87, 0.95)], respectively. The odds of exhibiting multiple unhealthy behaviours were significantly higher among adolescents in countries with high (0.7-0.79) and very high (0.8-1.0) Human Development Indexes (HDI) compared to those in low (<0.55) HDI countries [(AOR: 1.84, 95% CI: 1.16, 2.94); (AOR: 3.00, 95% CI: 1.48, 6.08)], respectively. Conclusion: The study findings reveal that multiple unhealthy lifestyle behaviours, including insufficient physical activity, sedentary behaviour, inadequate fruit and vegetable consumption, frequent soft drink intake, and fast-food consumption, are globally prevalent among adolescents. These behaviours have distinct clustering patterns associated with individual characteristics, family and peer environments, and broader socio-economic and societal contexts.

Dataset Information

Current e-cigarette use among in-school adolescents in West Malaysia: Examining the interactions between sociodemographic characteristics and lifestyle risk behaviours.

Background

Methods

Results

Conclusion

Publications

Current e-cigarette use among in-school adolescents in West Malaysia: Examining the interactions between sociodemographic characteristics and lifestyle risk behaviours.

Similar Datasets

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