↓ Skip to main content

Long-Term Cigarette Smoking Trajectories Among HIV-Seropositive and Seronegative MSM in the Multicenter AIDS Cohort Study

Overview of attention for article published in AIDS and Behavior, February 2016
Altmetric Badge

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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
63 Mendeley
Title
Long-Term Cigarette Smoking Trajectories Among HIV-Seropositive and Seronegative MSM in the Multicenter AIDS Cohort Study
Published in
AIDS and Behavior, February 2016
DOI 10.1007/s10461-016-1343-8
Pubmed ID
Authors

Wajiha Z. Akhtar-Khaleel, Robert L. Cook, Steve Shoptaw, Pamela J. Surkan, Linda A. Teplin, Ronald Stall, Rebecca J. Beyth, Todd M. Manini, Michael Plankey

Abstract

To examine the association between demographic characteristics and long-term smoking trajectory group membership among HIV-seropositive and HIV-seronegative men who have sex with men (MSM). A cohort of 6552 MSM from the Multicenter AIDS Cohort Study were asked detailed information about their smoking history since their last follow-up. Group-based trajectory modeling was used to examine smoking behavior and identify trajectory group membership. Because participants enrolled after 2001 were more likely to be younger, HIV-seronegative, non-Hispanic black, and have a high school diploma or less, we also assessed time of enrollment in our analysis. Participants were grouped into 4 distinct smoking trajectory groups: persistent nonsmoker (n = 3737 [55.9 %]), persistent light smoker (n = 663 [11.0 %]), heavy smoker to nonsmoker (n = 531 [10.0 %]), and persistent heavy smoker (n = 1604 [23.1 %]). Compared with persistent nonsmokers, persistent heavy smokers were associated with being enrolled in 2001 and later (adjusted odds ratio [aOR] 2.35; 95 % CI 2.12-2.58), having a high school diploma or less (aOR 3.22; 95 % CI 3.05-3.39), and being HIV-seropositive (aOR 1.17; 95 % CI 1.01-1.34). These associations were statistically significant across all trajectory groups for time of enrollment and education but not for HIV serostatus. The overall decrease of smoking as shown by our trajectory groups is consistent with the national trend. Characteristics associated with smoking group trajectory membership should be considered in the development of targeted smoking cessation interventions among MSM and people living with HIV.

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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 14%
Student > Master 7 11%
Researcher 5 8%
Professor > Associate Professor 4 6%
Student > Bachelor 4 6%
Other 15 24%
Unknown 19 30%
Readers by discipline Count As %
Medicine and Dentistry 9 14%
Psychology 8 13%
Nursing and Health Professions 7 11%
Social Sciences 4 6%
Agricultural and Biological Sciences 3 5%
Other 6 10%
Unknown 26 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 06 June 2018.
All research outputs
#2,308,592
of 24,059,832 outputs
Outputs from AIDS and Behavior
#312
of 3,601 outputs
Outputs of similar age
#36,894
of 301,910 outputs
Outputs of similar age from AIDS and Behavior
#13
of 102 outputs
Altmetric has tracked 24,059,832 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,601 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 91% 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 301,910 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 87% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.