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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study
|
|---|---|
| Published in |
BMC Public Health, May 2015
|
| DOI | 10.1186/s12889-015-1817-z |
| Pubmed ID | |
| Authors |
Carla J Berg, Vamadevan S. Ajay, Mohammed K. Ali, Dimple Kondal, Hassan M. Khan, Roopa Shivashankar, Rajendra Pradeepa, Deepa Mohan, Zafar Fatmi, Muhammad M. Kadir, Nikhil Tandon, Viswanathan Mohan, KM Venkat Narayan, Dorairaj Prabhakaran |
| Abstract |
Tobacco burdens in India and Pakistan require continued efforts to quantify tobacco use and its impacts. We examined the prevalence and sociodemographic and health-related correlates of tobacco use in Delhi, Chennai (India), and Karachi (Pakistan). Analysis of representative surveys of 11,260 participants (selected through multistage cluster random sampling; stratified by gender and age) in 2011 measured socio-demographics, tobacco use history, comorbid health conditions, and salivary cotinine. We used bivariate and multivariate regression analyses to examine factors associated with tobacco use. Overall, 51.8 % were females, and 61.6 % were below the age of 45 years. Lifetime (ever) tobacco use prevalence (standardized for world population) was 45.0 %, 41.3 %, and 42.5 % among males, and 7.6 %, 8.5 %, and 19.7 % among females in Chennai, Delhi, and Karachi, respectively. Past 6 month tobacco use prevalence (standardized for world population) was 38.6 %, 36.1 %, and 39.1 % among males, and 7.3 %, 7.1 %, and 18.6 % among females in Chennai, Delhi, and Karachi, respectively. In multivariable regression analyses, residing in Delhi or Karachi versus Chennai; older age; lower education; earning less income; lower BMI; were each associated with tobacco use in both sexes. In addition, semi-skilled occupation versus not working and alcohol use were associated with tobacco use in males, and having newly diagnosed dyslipidemia was associated with lower odds of tobacco use among females. Mean salivary cotinine levels were higher among tobacco users versus nonusers (235.4; CI: 187.0-283.8 vs. 29.7; CI: 4.2, 55.2, respectively). High prevalence of tobacco use in the South Asian region, particularly among men, highlights the urgency to address this serious public health problem. Our analyses suggest targeted prevention and cessation interventions focused on lower socioeconomic groups may be particularly important. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| Unknown | 81 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 13% |
| Student > Master | 10 | 12% |
| Student > Bachelor | 10 | 12% |
| Student > Postgraduate | 9 | 11% |
| Researcher | 8 | 10% |
| Other | 13 | 16% |
| Unknown | 21 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 34% |
| Nursing and Health Professions | 8 | 10% |
| Agricultural and Biological Sciences | 5 | 6% |
| Psychology | 5 | 6% |
| Economics, Econometrics and Finance | 3 | 4% |
| Other | 11 | 13% |
| Unknown | 22 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 May 2015.
All research outputs
#12,923,613
of 22,803,211 outputs
Outputs from BMC Public Health
#8,966
of 14,856 outputs
Outputs of similar age
#119,343
of 264,402 outputs
Outputs of similar age from BMC Public Health
#137
of 233 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
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 is in the 38th percentile – i.e., 38% 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 264,402 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.