Tobacco Use, Beliefs and Risk Awareness in University Students from 24 Low, Middle and Emerging Economy Countries

Peltzer, Karl; Pengpid, Supa

doi:10.7314/apjcp.2014.15.22.10033

Cited by 23 publications

(32 citation statements)

References 31 publications

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“…The overall prevalence rates were however lower than those reported in earlier studies, both from the Western world and from India. 8,11,12 Such a reduction in the use of tobacco among young people in Kerala is in keeping with the results reported in other recent studies from Kerala. 23,24 Although the overall prevalence of tobacco use was low, one finding of particular public health concern was that twothirds of users across courses (except medical) were hazardous users suggestive of the future risk of dependence and the risk of adverse health consequences.…”

Section: Discussionsupporting

confidence: 90%

“…More men use tobacco in college in most developing countries including India. 8,10,15 Similarly, there is consistent evidence that use of tobacco increases the risk of use of alcohol and vice versa. 5,8,14,15 In the full model of multivariable logistic regression analysis, students from the Muslim community appeared to have a higher risk of tobacco use, but when the confounding effect of alcohol was controlled, the relationship became nonsignificant.…”

Section: Discussionmentioning

confidence: 98%

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Tobacco Use Among College Students Across Various Disciplines in Kerala, India

et al. 2020

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Background: Tobacco use is a major public health concern in India. Its use in young people is linked to increased severity, longer duration, and reduced efforts to seek treatment for tobacco use. A significant proportion of young people are enrolled in colleges, and early prevention during this period has better effectiveness. There is preliminary evidence that prevalence may vary across courses even among students of the same sociocultural background. Hence, we compared the prevalence and correlates of tobacco use among college students enrolled in five common streams of collegiate education (medical, nursing, engineering, arts/science and others, law/fisheries) in Kerala, India. Methods: 5784 college students from 58 colleges (medical, nursing, engineering, arts, and law and fisheries) selected by cluster random sampling in the district of Ernakulum, Kerala, completed a self-administered questionnaire incorporating standardized instruments. R software was used for analyses. Lifetime prevalence and severity of tobacco use were determined. Sociodemographic variables of tobacco users and nonusers enrolled in various courses were compared using chi-square test and two-way ANOVA. Furthermore, for each course, factors influencing tobacco use were identified using multivariable logistic regression analysis. Results: The mean age of the sample was 19.5 ± 1.9 years, with the majority being female (65.3%). Lifetime prevalence of tobacco use varied from 0.5% in nursing students, 4.2% in medical students, 8.2% in students of arts and science, 12.5% in engineering students, and 22.8% among other students (law/fisheries). Approximately two-thirds of all tobacco users across courses showed signs of nicotine dependence. Dependent users also showed variance with none in nursing, 2.6% among medicine, 1.6% among arts and science, 1.9% among engineering, and 6.3% among others. Male gender and alcohol use were consistently associated with tobacco use across courses, whereas other examined psychosocial correlates showed variance. Conclusions: To conclude, it appears that among college students, course-level characteristics may influence risk of tobacco use. This has public health importance as it suggests that interventions need to be tailored bearing this in mind. Future research needs to examine campus-level characteristics that may explain variance.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 98%

Tobacco Use Among College Students Across Various Disciplines in Kerala, India

et al. 2020

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“…The 2.2% and 3.5% prevalence of tobacco smoking, respectively, found in Uganda and Somaliland,26 31 mirrors the 4.2% (former and current smoking) reported in this study, though lower than the 29.5% and 32.5% reported from Ethiopia and Cameroon 32 33. The 0.9% prevalence estimate of current tobacco smoking from the present study resembles that from Mandengue et al at the University of Douala (Cameroon), around 0.6% 25.…”

Section: Discussionsupporting

confidence: 79%

Prevalence of major cardiovascular disease risk factors among a group of sub-Saharan African young adults: a population-based cross-sectional study in Yaoundé, Cameroon

et al. 2019

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ObjectiveTo determine the prevalence estimates of some major risk factors for cardiovascular disease (CVD) in a young adult-aged population living in Yaoundé, Cameroon.DesignA cross-sectional study held from May to July 2017.SettingParticipantsStudents aged 18–35 years, with no known history of CVD, found at the campus during recruitment and who voluntarily agreed to be included in the study.Primary and secondary outcome measuresData were collected on personal and family history as well as lifestyle and nutritional habits; anthropometric parameters and blood pressure were also measured. Prevalence rates were calculated with their respective 95% CI.ResultsOverall, 931 participants (53.8% males) were included, with a median age of 23 years (IQR 21–25). The prevalence estimates for some major CVD risk factors were: 3.1% (95% CI 2.0 to 4.2) for family history of heart attack, 6.3% (95% CI 4.7 to 7.9) for family history of stroke, 26.7% (95% CI 23.9 to 29.5) for hazardous alcohol consumption, 0.9% (95% 0.3 to 1.5) for current tobacco smoking, 27.6% (95% CI 24.7 to 30.5) for secondhand smoking, 88.9% (95% CI 86.9 to 90.9) for physical inactivity, 99.0% (95% CI 98.4 to 99.6) for inadequate fruits and/or vegetables consumption, 39.8% (95% CI 36.7 to 42.9) for self-reported anxiety, 49.2% (95% CI 46.0 to 52.4) for self-reported depression, 22.1% (95% CI 19.4 to 24.8) for overweight, 3.9% (95% CI 2.7 to 5.1) for obesity, 14.4% (95% CI 12.1 to 16.7) for abdominal obesity, 14.5% (95% CI 12.2 to 16.8) for excess body fat mass, 30.0% (95% CI 27.1 to 32.9) for suspected prehypertension and 2.8% (95% CI 1.7 to 3.9) for suspected hypertension.ConclusionThe prevalence of some major CVD risk factors is high among young adults living in Yaoundé, Cameroon. Therefore, specific actions should be undertaken in this population to mitigate the upcoming burden of CVD. Accordingly, younger-aged adult populations should be encouraged and accompanied to practice physical activity, eat healthily, and stop or avoid smoking and/or hazardous alcohol consumption.

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“…In relation to convergent validity analysis, smoking was associated with enhancement dinking motives for all reference groups. Students who have smoking habits, are more likely to present alcohol consumption (Deressa & Azazh, 2011;Harrison et al, 2009;Peltzer & Pengpid, 2014), possibly due to peer-effect and higher levels on social norms (Phua, 2011). Additionally, age and gender were associated with drinking motives in our sample, where for age (Cooper, 1994;Peltzer & Pengpid, 2014;Primack et al, 2012;Saddleson et al, 2015) and gender (Cooper, 1994;King & Chassin, 2007;Kraemer et al, 2015) similar results were found.…”

Section: Discussionsupporting

confidence: 79%