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Environmental tobacco smoke exposure and health disparities: 8-year longitudinal findings from a large cohort of Thai adults

Overview of attention for article published in BMC Public Health, December 2015
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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5 Dimensions

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69 Mendeley
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Title
Environmental tobacco smoke exposure and health disparities: 8-year longitudinal findings from a large cohort of Thai adults
Published in
BMC Public Health, December 2015
DOI 10.1186/s12889-015-2547-y
Pubmed ID
Authors

Thanh Tam Tran, Vasoontara Yiengprugsawan, Dujrudee Chinwong, Sam-ang Seubsman, Adrian Sleigh

Abstract

In rich countries, smokers, active or passive, often belong to disadvantaged groups. Less is known of tobacco patterns in the developing world. Hence, we seek out to investigate mental and physical health consequences of smoke exposure as well as tobacco-related inequality in transitional middle-income Thailand. We studied a nationwide cohort of 87,151 middle-aged and older adults that we have been following for eight years (2005-2013) for emerging chronic diseases. Logistic regression was used to identify attributes associated with passive smoke exposure. Longitudinal associations between smoke exposure and wellbeing (SF-8) or psychological distress (Kessler 6) were investigated with multiple linear regression or multivariate logistic regression analysis. A high proportion of cohort members, especially females, were passive smokers at home and at public transport stations; males were more exposed at workplace and recreational places. We observed a social gradient with more passive smoking in poorer people. We also observed a dose response relationship linking graded smoke exposures (current, former, passive, non-exposed) to less wellbeing and more psychological distress (p-trend < 0.001). Female smokers in general had less wellbeing and more distress. Our findings add to current knowledge on the impact of active and passive smoking on health in a transitional economy. Promotion of smoking cessation programs both in public and at home could also potentially reduce adverse disparities in health and wellbeing in middle and lower income settings such as Thailand.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 7 10%
Student > Master 7 10%
Student > Bachelor 7 10%
Student > Ph. D. Student 6 9%
Researcher 5 7%
Other 12 17%
Unknown 25 36%
Readers by discipline Count As %
Medicine and Dentistry 11 16%
Psychology 5 7%
Nursing and Health Professions 5 7%
Environmental Science 4 6%
Agricultural and Biological Sciences 3 4%
Other 16 23%
Unknown 25 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 March 2016.
All research outputs
#5,976,278
of 22,835,198 outputs
Outputs from BMC Public Health
#6,120
of 14,878 outputs
Outputs of similar age
#93,163
of 388,741 outputs
Outputs of similar age from BMC Public Health
#94
of 230 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 14,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 388,741 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.