The influencing factors of unprotected sexual behavior among HIV-infected patients: a study based on Bayesian network model

WANG Jian-ping; WU Yuan-ting; YAO Tian; LAN Guang-hua; LU Hong-yan; XIANG Shao-mi; LI Shu-zhen; FENG Yong-liang; WANG Su-ping

doi:10.16462/j.cnki.zhjbkz.2022.08.015

Volume 26 Issue 8

Aug. 2022

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2022 > 26(8): 961-966

WANG Jian-ping, WU Yuan-ting, YAO Tian, LAN Guang-hua, LU Hong-yan, XIANG Shao-mi, LI Shu-zhen, FENG Yong-liang, WANG Su-ping. The influencing factors of unprotected sexual behavior among HIV-infected patients: a study based on Bayesian network model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(8): 961-966. doi: 10.16462/j.cnki.zhjbkz.2022.08.015

Citation:

WANG Jian-ping, WU Yuan-ting, YAO Tian, LAN Guang-hua, LU Hong-yan, XIANG Shao-mi, LI Shu-zhen, FENG Yong-liang, WANG Su-ping. The influencing factors of unprotected sexual behavior among HIV-infected patients: a study based on Bayesian network model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(8): 961-966. doi: 10.16462/j.cnki.zhjbkz.2022.08.015

Citation:

WANG Jian-ping, WU Yuan-ting, YAO Tian, LAN Guang-hua, LU Hong-yan, XIANG Shao-mi, LI Shu-zhen, FENG Yong-liang, WANG Su-ping. The influencing factors of unprotected sexual behavior among HIV-infected patients: a study based on Bayesian network model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(8): 961-966. doi: 10.16462/j.cnki.zhjbkz.2022.08.015

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The influencing factors of unprotected sexual behavior among HIV-infected patients: a study based on Bayesian network model

doi: 10.16462/j.cnki.zhjbkz.2022.08.015

WANG Jian-ping^{1, 2},
WU Yuan-ting^{1, 3},
YAO Tian^{1, 3},
LAN Guang-hua⁴,
LU Hong-yan⁴,
XIANG Shao-mi⁵,
LI Shu-zhen^{1
,
,},
FENG Yong-liang^{1, 3
,
,},
WANG Su-ping^{1, 2, 3}

1.
Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
2.
Department of Ultrasound, Tongmei General Hospital of Sinopharm, Datong 037000, China
3.
Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan 030001, China
4.
Institute for HIV/AIDS Prevention and Control, Guangxi Zhuang Autonomous Regional Center for Disease Control and Prevention, Nanning 530028, China
5.
Ningming County Center for Disease Control and Prevention of Guangxi Zhuang Autonomous Regional, Ningming 532500, China

Funds:

National Science and Technology Major Project of China 2018ZX10721202

National Science and Technology Major Project of China 2012ZXl0002001

More Information

Corresponding author: LI Shu-zhen, E-mail: lszlym@163.com; FENG Yong-liang, E-mail: yongliang.feng@sxmu.edu.cn
Received Date: 2021-10-12
Rev Recd Date: 2022-04-10

Available Online: 2022-08-23

Publish Date: 2022-08-10

Abstract

Abstract

Objective To investigate the prevalence of unprotected sexual behavior among HIV-infected patients, and to explore the influencing factors of unprotected sexual behavior and their network relationships. Methods HIV-infected patients managed by two centers for Disease Control and Prevention in Guangxi were selected from March to July 2015 in a cross-sectional study. Data of general demographic characteristics, HIV treatment status, sexual behavior in the last three months, health status and drug use status were collected through face-to-face interview. Single-factor analysis and multi-factor logistic regression were used to initially screen the variables, "bnlearn" Bayesian network software package was used for model construction, and Netica software was used for model inference. Results The incidence of unprotected sexual behavior among HIV-infected patients was 47.47% (441/929). The results of multi-factor logistic regression analysis showed that age, multiple partners, education level, per capita monthly income of family, and receiving ART were influencing factors of unprotected sexual behavior. The results of Bayesian network model showed that multiple sexual partners, receiving ART therapy, education level, per capita monthly income of family, and age were directly related to unprotected sexual behavior, currently being married or cohabiting was indirectly related to unprotected sexual behavior through affecting multiple sexual partners, and occupation was indirectly related to unprotected sexual behavior through affecting per capita monthly income of family. Conclusions HIV-infected patients have a high incidence of unprotected sexual behavior. Health education should be strengthened for those having multiple sexual partners, not receiving ART, with low level of education, having low per capita monthly income of family, being older, being currently single and being unemployed, so as to reduce the occurrence of unprotected sexual behavior.
- Bayesian network model,
- HIV-infected patients,
- Unprotected sexual behavior,
- Influencing factors

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References(18)

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