↓ Skip to main content

A systematic review and meta-analysis of gender difference in epidemiology of HIV, hepatitis B, and hepatitis C infections in people with severe mental illness

Overview of attention for article published in Annals of General Psychiatry, May 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
96 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
A systematic review and meta-analysis of gender difference in epidemiology of HIV, hepatitis B, and hepatitis C infections in people with severe mental illness
Published in
Annals of General Psychiatry, May 2018
DOI 10.1186/s12991-018-0186-2
Pubmed ID
Authors

Getinet Ayano, Mikiyas Tulu, Kibrom Haile, Dawit Assefa, Yodit Habtamu, Gebresilassie Araya, Zegeye Yohannis

Abstract

People with severe mental disorders (SMDs) are associated with increased risk of infectious disease including human immunodeficiency virus infection (HIV) and hepatitis viruses, such as hepatitis B virus (HBV), hepatitis C virus (HCV), and other types of hepatitis viruses because of high-risk behaviors compared to the general population. The prevalence of HIV in people with SMDs is higher in females than in males. Unlike HIV, the prevalence of HBV and HCV is higher in males than in females. This study aimed to carry out a systematic review and meta-analysis to determine the prevalence and estimated gender difference in the risk of HIV, HBV, and HCV in people with SMD. Literature search was performed using the electronic databases PubMed, EMBASE, and Scopus. Publications were screened according to predefined inclusion criteria. A qualitative and quantitative analysis was undertaken for this systematic review. Eighteen materials published from 1993 to 2017 were included in the qualitative and quantitative analysis. Random-effect model was used to calculate weighted prevalence, odds ratio (OR), and corresponding 95% confidence interval (CI). 12,290 citations were identified and 18 articles including 11,175 participants were included. The results of our meta-analysis show that the prevalence of HIV, HBV, and HCV in people with SMD was 7.59% (95% CI 4.82-11.75), 15.63% (95% CI 7.19-30.69), and 7.21% (95% CI 4.44-11.50), respectively. The prevalence of HIV was higher in women (8.25%) than men (7.04%), but the prevalence of HBV and HCV was higher in men than women (18.91% versus 12.02% and 9.16% versus 5.43% for HBV and HCV in men versus women, respectively). A meta-analysis of included studies demonstrated a significantly increased risk of HBV (OR 1.72; 95% CI 1.17-2.53) and HCV (OR 2.01; 95% CI 1.16-3.20) infections in men compared to women in people with SMD. However, no significant association was observed between gender and HIV. The funnel plot and Egger's regression tests provided no evidence of substantial publication bias in the prevalence and gender difference in association for HIV, HBV, and HCV in people with SMD. In our review, the prevalence of HIV, HBV, and HCV was high. The prevalence of HBV is significantly higher than HIV and HCV. There was a significantly increased risk of HBV and HCV infections in men compared to women. No significant association was observed between gender and HIV. People with SMDs warrant greater emphasis in efforts to identify and treat HIV, HBV and HCV.

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

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 23%
Student > Bachelor 11 11%
Researcher 8 8%
Student > Ph. D. Student 7 7%
Lecturer 5 5%
Other 10 10%
Unknown 33 34%
Readers by discipline Count As %
Medicine and Dentistry 16 17%
Psychology 9 9%
Nursing and Health Professions 7 7%
Immunology and Microbiology 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 18 19%
Unknown 36 38%
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 08 April 2019.
All research outputs
#15,512,170
of 23,053,169 outputs
Outputs from Annals of General Psychiatry
#287
of 514 outputs
Outputs of similar age
#208,220
of 326,660 outputs
Outputs of similar age from Annals of General Psychiatry
#3
of 9 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 34th percentile – i.e., 34% 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 326,660 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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. This one has scored higher than 6 of them.