2018
DOI: 10.1016/j.puhe.2018.04.018
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Socio-economic inequalities in secondhand smoke exposure at home in the context of mother-child pairs in Bangladesh

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Cited by 6 publications
(4 citation statements)
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“…We observed that the prevalence of secondhand smoke exposure increased as school grade increased, which can be explained as older adolescents from higher grades being more accepting of tobacco use among their peers and being more likely to smoke themselves; both factors increase the probability of secondhand smoke exposure [ 14 , 20 ]. We also found that the prevalence of exposure decreased when moving from low to high provincial GDP per capita categories, as others have shown [ 21 , 22 ]. This might be partly explained by lower awareness of the harm of secondhand smoke exposure among adolescents in lower GDP per capita regions than higher GDP per capita regions.…”
Section: Discussionsupporting
confidence: 86%
“…We observed that the prevalence of secondhand smoke exposure increased as school grade increased, which can be explained as older adolescents from higher grades being more accepting of tobacco use among their peers and being more likely to smoke themselves; both factors increase the probability of secondhand smoke exposure [ 14 , 20 ]. We also found that the prevalence of exposure decreased when moving from low to high provincial GDP per capita categories, as others have shown [ 21 , 22 ]. This might be partly explained by lower awareness of the harm of secondhand smoke exposure among adolescents in lower GDP per capita regions than higher GDP per capita regions.…”
Section: Discussionsupporting
confidence: 86%
“…Although the binary comparisons in the present study were consistent with the literature, no significant difference was found in logistic regression analysis. This may be attributable to the fact that the region where the study was conducted is a rural area even though it includes villages and city centers [17,18].…”
Section: Discussionmentioning
confidence: 99%
“…To quantify distinct dimensions of SES inequalities in the CCI scores, we employed three regression-based methods: (1) relative index of inequality (RII), (2) slope index of inequality (SII), and (3) adjusted odds ratio (AOR). The RII and SII are regression-based inequality measures that consider CCI scores throughout the whole socioeconomic distribution in the study population, whereas the AOR simply examines relative disparities in CCI scores between the wealthiest and most disadvantaged groups 22 , 23 .…”
Section: Methodsmentioning
confidence: 99%