↓ Skip to main content

Socio-demographic characteristics and tobacco use among the adults in urban slums of Dhaka, Bangladesh

Overview of attention for article published in Tobacco Induced Diseases, May 2017
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
75 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Socio-demographic characteristics and tobacco use among the adults in urban slums of Dhaka, Bangladesh
Published in
Tobacco Induced Diseases, May 2017
DOI 10.1186/s12971-017-0131-1
Pubmed ID
Authors

Nusrat Nausheen Khandker, Tuhin Biswas, Abdullah Nurus Salam Khan, Enamul Hasib, Lal B Rawal

Abstract

Use of tobacco has become one of the major causes of premature deaths in most developing countries, including Bangladesh. The poorest and most disadvantaged populations, such as those living in slums, are considered to be extremely vulnerable to non-communicable diseases and their risk factors, especially tobacco use. The objective of this study was to assess the current status of tobacco consumption among slum dwellers and its association with socio-demographic factors. A cross-sectional study was conducted in three slums of Dhaka city. Information about tobacco use as well as socio-demographic characteristics was collected from adult slum dwellers via face to face interviews using WHO STEPS questionnaire. Overall proportion of smoking, smokeless tobacco consumption and dual use of tobacco was 35% [95% CI: 31.6-39.8], 40.6% [95% CI: 36.5-45.2] and 12% [95% CI: 9.3-15.0] respectively. Elderly people (55-64 years) were more likely to smoke (OR: 2.34, 95% CI: 1.21-4.49) than younger people (aged 25-34 years). On the other hand, those who had no schooling history (OR: 2.95, 95% CI: 1.66-5.25) were more likely to consume smokeless tobacco than those who had higher education (secondary or above). At the same time, manual workers were more likely to indulge in dual use of tobacco (OR: 5.17, 95% CI: 2.82-9.48) as compared to non-manual workers. The urban slum population of Dhaka city has a high prevalence of tobacco use, which increases their likelihood of developing non-communicable diseases. Proper attention needs to be directed towards addressing the risk factors related to non-communicable diseases within this vulnerable population.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 21%
Researcher 12 16%
Student > Postgraduate 5 7%
Student > Doctoral Student 4 5%
Student > Ph. D. Student 4 5%
Other 9 12%
Unknown 25 33%
Readers by discipline Count As %
Medicine and Dentistry 15 20%
Social Sciences 11 15%
Economics, Econometrics and Finance 4 5%
Environmental Science 3 4%
Nursing and Health Professions 2 3%
Other 8 11%
Unknown 32 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 May 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Tobacco Induced Diseases
#482
of 591 outputs
Outputs of similar age
#234,969
of 324,919 outputs
Outputs of similar age from Tobacco Induced Diseases
#9
of 9 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 591 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 324,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.