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Tobacco use and associated factors among adults in Ethiopia: further analysis of the 2011 Ethiopian Demographic and Health Survey

Overview of attention for article published in BMC Public Health, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

policy
1 policy source
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7 X users

Citations

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40 Dimensions

Readers on

mendeley
140 Mendeley
Title
Tobacco use and associated factors among adults in Ethiopia: further analysis of the 2011 Ethiopian Demographic and Health Survey
Published in
BMC Public Health, May 2015
DOI 10.1186/s12889-015-1820-4
Pubmed ID
Authors

Yihunie Lakew, Demewoz Haile

Abstract

Tobacco is one of the leading preventable causes of non-communicable diseases. Previous studies gave due emphasis only for cigarette smoking with little attention given for other types of tobacco use. This study describes the prevalence of all common forms of tobacco use and identify associated factors among adults in Ethiopia. The study used data from the 2011 Ethiopian demographic and health survey. An index was constructed from yes or no responses for common types of tobacco use. Bivariate and multivariate logistic regression statistical models were employed to determine associated factors with tobacco using adjusted odds ratios (AOR) and their 95 % confidence intervals (CI). The overall prevalence of tobacco use was 4.1 % [95 % CI: (3.93-4.37)]. The highest prevalence 16.9 % [95 % CI: (11.02-23.76)] in Gambella and the lowest 0.8 % [95 % CI: (0.48-1.29)] in Tigray regions were reported. The odds of tobacco use in the age group 20-24 and 45-49 years were [AOR = 2.3; 95 % CI: (1.60-3.21)] and [AOR = 9.1; 95 % CI: (6.06-13.54)] more likely to use tobacco, respectively, as compared to the age group 15-19 years. Traditional religion [AOR = 5.5; 95 % CI: (3.96-7.55)], Catholics [AOR = 3.40; 95 % CI: (2.03-5.69)] and Islamic followers [AOR = 2.8; 95 % CI: (2.31-3.32)] had higher odds of using tobacco as compared to Orthodox religion followers. Adults in the poorest wealth quintile were [AOR = 1.4; 95 % CI: (1.05-1.79)] more likely to use tobacco as compared to the richest wealth quintile. The odds of tobacco use among males were higher as compared to females [AOR = 13.08; 95 % CI: (10.24-16.72)]. Formerly married adults were [AOR = 1.71; 95 % CI: (1.20-2.34)] more likely to use tobacco as compared to never married. Adults who were professionally working [AOR = 0.49; 95 % CI: (0.29-0.85)] had less likely to use tobacco as compared to non-working adults. However, adults who were working in sales, skilled and unskilled occupations had [AOR = 1.6; 95 % CI: (1.18-2.24)], [AOR = 1.7, 95 % CI: (1.21-2.50)] and [AOR = 3.8 95 % CI: (2.27-6.23)] more likely to use tobacco, respectively, as compared to non-working adults. Individuals who had experience of child death were [AOR = 1.4; 95 % CI: (1.17-1.63)] more likely to use tobacco as compared to their counterparts. The overall prevalence of tobacco use seems low in Ethiopia. However, a significant regional variation of tobacco use was observed. A tailored public health interventions targeting regions with high prevalence of tobacco use is recommended.

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X Demographics

The data shown below were collected from the profiles of 7 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 139 99%

Demographic breakdown

Readers by professional status Count As %
Lecturer 31 22%
Student > Master 20 14%
Researcher 12 9%
Student > Bachelor 10 7%
Student > Postgraduate 8 6%
Other 23 16%
Unknown 36 26%
Readers by discipline Count As %
Nursing and Health Professions 41 29%
Medicine and Dentistry 28 20%
Social Sciences 7 5%
Psychology 5 4%
Unspecified 4 3%
Other 16 11%
Unknown 39 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 March 2021.
All research outputs
#3,896,313
of 22,803,211 outputs
Outputs from BMC Public Health
#4,302
of 14,856 outputs
Outputs of similar age
#49,859
of 264,552 outputs
Outputs of similar age from BMC Public Health
#70
of 230 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,856 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 71% 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 264,552 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 81% 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 69% of its contemporaries.