The purpose of this study was to assess the prevalence and risk factors for syphilis infection among female sex workers (FSWs) in Liuzhou City, Guangxi Zhuang Autonomous Region, southern China. A cross-sectional study recruited FSWs using a venue-based method and subsequent snowball sampling with mapping strategies. Questionnaire-based interviews were conducted to collect demographic and behavioral information. Blood was tested for syphilis (RPR with TPPA confirmation) and HIV (EIA with Western blot confirmation) infections. Of the 362 eligible participants, 81.7% were non-local residents (60.5% from other parts of Guangxi and 21.2% were non-Guangxi residents); 58.0% belonged to non-Han minority ethnic groups; 37.5% reported inconsistent condom use with their clients and 71.2% reported inconsistent condom use with their regular sex partners during the past month. Nearly 10% reported having had sex with drug users. The prevalence rates for HIV and syphilis infections were 2.3% and 11.0%, respectively. Almost half (46.6%) of participants reported having had STD symptoms. Inconsistent condom use with clients in the past month (AOR = 5.0; 95% CI = 1.8-13.8), less education (OR = 2.6; 95% CI = 1.1-7.4), and HIV infection (AOR = 8.1; 95% CI = 1.1-68.5) were independently associated with syphilis infection.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2745968PMC

Publication Analysis

Top Keywords

syphilis infection
12
inconsistent condom
12
hiv infection
8
infection female
8
female sex
8
sex workers
8
southern china
8
reported inconsistent
8
condom clients
8
aor 95%
8

Similar Publications

Syphilis, an infection caused by , is well known for its ability to mimic other diseases across various organ systems, complicating timely diagnosis. Ocular syphilis, though rare, is a severe manifestation that can closely resemble other eye conditions, making early identification challenging. When conventional treatments fail to improve symptoms, considering syphilis in the differential diagnosis becomes crucial to avoid further complications.

View Article and Find Full Text PDF

The diagnostic process and discrimination of mucosal lesions present a formidable challenge for numerous clinicians, primarily attributable to the common overlap of clinical manifestations observed across various categories, including infectious, autoimmune, connective tissue, and systemic vascular inflammatory diseases. In cases of mucosal lesions, syphilis presents distinctive characteristics that can help clinicians differentiate it from other conditions. The most common manifestation of primary syphilis is mostly a painless, firm, indurated ulcer known as a chancre, which typically appears at the site of inoculation, with enlargement of regional lymph nodes.

View Article and Find Full Text PDF

Background: Early diagnosis of syphilis is vital for its effective control. This study aimed to develop an Artificial Intelligence (AI) diagnostic model based on radiomics technology to distinguish early syphilis from other clinical skin lesions.

Methods: The study collected 260 images of skin lesions caused by various skin infections, including 115 syphilis and 145 other infection types.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!