ZHOU Chong-xing, HU Xi, SHEN Zhi-yong, ZHU Qiu-ying, MENG Qin, ZANG Dan-yan, SONG Li-ping, JIANG Jun-jun, HUANG Jie-gang, LIANG Bing-yu. Analysis on influencing factors of late detection for newly diagnosed HIV/AIDS positive patients in Guangxi in 2015[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(9): 888-890,899. doi: 10.16462/j.cnki.zhjbkz.2017.09.007
Citation:
ZHOU Chong-xing, HU Xi, SHEN Zhi-yong, ZHU Qiu-ying, MENG Qin, ZANG Dan-yan, SONG Li-ping, JIANG Jun-jun, HUANG Jie-gang, LIANG Bing-yu. Analysis on influencing factors of late detection for newly diagnosed HIV/AIDS positive patients in Guangxi in 2015[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(9): 888-890,899. doi: 10.16462/j.cnki.zhjbkz.2017.09.007
ZHOU Chong-xing, HU Xi, SHEN Zhi-yong, ZHU Qiu-ying, MENG Qin, ZANG Dan-yan, SONG Li-ping, JIANG Jun-jun, HUANG Jie-gang, LIANG Bing-yu. Analysis on influencing factors of late detection for newly diagnosed HIV/AIDS positive patients in Guangxi in 2015[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(9): 888-890,899. doi: 10.16462/j.cnki.zhjbkz.2017.09.007
Citation:
ZHOU Chong-xing, HU Xi, SHEN Zhi-yong, ZHU Qiu-ying, MENG Qin, ZANG Dan-yan, SONG Li-ping, JIANG Jun-jun, HUANG Jie-gang, LIANG Bing-yu. Analysis on influencing factors of late detection for newly diagnosed HIV/AIDS positive patients in Guangxi in 2015[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2017, 21(9): 888-890,899. doi: 10.16462/j.cnki.zhjbkz.2017.09.007
1. Department of AIDS and STD Control, Center for Disease Control and Prevention of Guangxi Zhuang Autonomous Region, Nanning 530021, China;
2. The Key Laboratory of AIDS Prevention and Research, Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, China;
3. Department of Epidemiology, School of Public Health, Guilin Medical University, Guilin 541004, China
Objective To explore the influencing factors of late diagnosis for newly diagnosed HIV/AIDS positive patients in Guangxi in 2015. Methods The CD4+ T lymphocytes count which was first detection for newly diagnosed HIV/AIDS positive patients in Guangxi during 2015 was collected. Data were statistically analyzed. Results We collected 8 586 newly diagnosed HIV/AIDS whose median CD4+ T lymphocytes counts was 237.5 cells/μl, and 43.12% of them had less than 200 cells/μl. Gender, age, occupation, marriage, nation, education, route of transmission, types of testing and region had effects on late HIV diagnosis(all P<0.05). Logistic analysis found that risk factors associated with the late diagnosis of HIV were male(OR=1.851,95% CI:1.673-2.048), migrant worker (OR=1.387,95% CI:1.242-1.549), education below middle and secondary school(OR=1.619,95% CI:1.400-1.873), currently married(OR=1.207, 95% CI:1.075-1.354), divorced or widowed(OR=1.508,95% CI:1.309-1.738). Voluntary testing was a protective factor. Conclusions The prevalence the late diagnosis of HIV was high in Guangxi in 2015, it is crucial for related departments to enhance the testing and screening effort for HIV/AIDS.