Psychosocial characteristics pattern correlated with HIV-related risky sexual behavior among HIV-negative men who have sex with men: a latent profile analysis
Background: Men who have sex with men (MSM) have become a high risk population of HIV infection due to their risky sexual behaviors. The latent pattern of psychosocial characteristics plays an important effect in HIV-related risky behaviors among HIV-negative MSM. Method: Participants were recruited...
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| Format: | Article |
| Language: | English |
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Komiyama Printing Co. Ltd
2023-01-01
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| Series: | Environmental Health and Preventive Medicine |
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| Online Access: | https://www.jstage.jst.go.jp/article/ehpm/28/0/28_22-00157/_html/-char/en |
| _version_ | 1811175544691097600 |
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| author | Mengxi Zhai Zhizhou Duan Jiawei Tian Qingqing Jiang Biao Zhu Chenchang Xiao Bin Yu Hong Yan |
| author_facet | Mengxi Zhai Zhizhou Duan Jiawei Tian Qingqing Jiang Biao Zhu Chenchang Xiao Bin Yu Hong Yan |
| author_sort | Mengxi Zhai |
| collection | DOAJ |
| description | Background: Men who have sex with men (MSM) have become a high risk population of HIV infection due to their risky sexual behaviors. The latent pattern of psychosocial characteristics plays an important effect in HIV-related risky behaviors among HIV-negative MSM. Method: Participants were recruited from Wuhan, Nanchang, and Changsha city from September 2017 to January 2018. Social support was assessed by the multidimensional scale of social support, Connor-Davidson Resilience scale-10 items for reliance, the assessment of Stigma towards Homosexuality for sexual minority stigma, the Likert subscale of nondisclosure for identity concealment, the ACE questionnaire-Kaiser-CDC for adverse childhood experience, the Centers for Epidemiological Studies Depression Scale for depression. Latent profile analysis (LPA) and multivariate regression were used to analyze the data. Results: Three psychosocial characteristic patterns were revealed by the LPA. “Social support and resilience group” (SR group), “Identity concealment group” (IC group) and “Adverse childhood experience” (ACE group) were identified, respectively. In comparison with “SR group”, “IC group” have a higher likelihood of one-night male partners (AOR = 2.74, 95%CI = [1.54, 4.90]), both fixed and one-night male partners (AOR = 2.01, 95%CI = [1.34, 3.01]) and HIV-unsure male partner (AOR = 2.12, 95%CI = [1.44, 3.13]). Similarly, “ACE group” were more likely having inconsistent condom use (AOR = 2.58, 95%CI = [1.41, 4.73]), and having sex with HIV-positive male partner (AOR = 4.90, 95%CI = [1.95, 12.30]) with comparison of “SR group”. In addition, we further revealed that “ACE group” had a higher ratio (90.0%) of inconsistent condom use among MSM whose male partners were HIV-positive. Conclusions: Six important psychosocial factors were divided into three latent pattern classes. Compared with “SR group”, “IC group” and “ACE group” were more likely to engage in HIV-related risky sexual behaviors. Further research may pay more attention to “IC group” and “ACE group” for targeted intervention. |
| first_indexed | 2024-04-10T19:37:29Z |
| format | Article |
| id | doaj.art-4223869396f14161aedd123d1a25a928 |
| institution | Directory Open Access Journal |
| issn | 1342-078X 1347-4715 |
| language | English |
| last_indexed | 2024-04-10T19:37:29Z |
| publishDate | 2023-01-01 |
| publisher | Komiyama Printing Co. Ltd |
| record_format | Article |
| series | Environmental Health and Preventive Medicine |
| spelling | doaj.art-4223869396f14161aedd123d1a25a9282023-01-30T00:52:39ZengKomiyama Printing Co. LtdEnvironmental Health and Preventive Medicine1342-078X1347-47152023-01-01282210.1265/ehpm.22-00157ehpmPsychosocial characteristics pattern correlated with HIV-related risky sexual behavior among HIV-negative men who have sex with men: a latent profile analysisMengxi Zhai0Zhizhou Duan1Jiawei Tian2Qingqing Jiang3Biao Zhu4Chenchang Xiao5Bin Yu6Hong Yan7School of Public Health, Wuhan UniversityPreventive Health Service, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical CollegeSchool of Public Health, Wuhan UniversitySchool of Public Health, Wuhan UniversitySchool of Public Health, Wuhan UniversityCity College, Wuhan University of Science and TechnologySchool of Public Health, Wuhan UniversitySchool of Public Health, Wuhan UniversityBackground: Men who have sex with men (MSM) have become a high risk population of HIV infection due to their risky sexual behaviors. The latent pattern of psychosocial characteristics plays an important effect in HIV-related risky behaviors among HIV-negative MSM. Method: Participants were recruited from Wuhan, Nanchang, and Changsha city from September 2017 to January 2018. Social support was assessed by the multidimensional scale of social support, Connor-Davidson Resilience scale-10 items for reliance, the assessment of Stigma towards Homosexuality for sexual minority stigma, the Likert subscale of nondisclosure for identity concealment, the ACE questionnaire-Kaiser-CDC for adverse childhood experience, the Centers for Epidemiological Studies Depression Scale for depression. Latent profile analysis (LPA) and multivariate regression were used to analyze the data. Results: Three psychosocial characteristic patterns were revealed by the LPA. “Social support and resilience group” (SR group), “Identity concealment group” (IC group) and “Adverse childhood experience” (ACE group) were identified, respectively. In comparison with “SR group”, “IC group” have a higher likelihood of one-night male partners (AOR = 2.74, 95%CI = [1.54, 4.90]), both fixed and one-night male partners (AOR = 2.01, 95%CI = [1.34, 3.01]) and HIV-unsure male partner (AOR = 2.12, 95%CI = [1.44, 3.13]). Similarly, “ACE group” were more likely having inconsistent condom use (AOR = 2.58, 95%CI = [1.41, 4.73]), and having sex with HIV-positive male partner (AOR = 4.90, 95%CI = [1.95, 12.30]) with comparison of “SR group”. In addition, we further revealed that “ACE group” had a higher ratio (90.0%) of inconsistent condom use among MSM whose male partners were HIV-positive. Conclusions: Six important psychosocial factors were divided into three latent pattern classes. Compared with “SR group”, “IC group” and “ACE group” were more likely to engage in HIV-related risky sexual behaviors. Further research may pay more attention to “IC group” and “ACE group” for targeted intervention.https://www.jstage.jst.go.jp/article/ehpm/28/0/28_22-00157/_html/-char/enhiv-negative msmhiv-related risky behaviorspsychosocial characteristicslatent profile analysis |
| spellingShingle | Mengxi Zhai Zhizhou Duan Jiawei Tian Qingqing Jiang Biao Zhu Chenchang Xiao Bin Yu Hong Yan Psychosocial characteristics pattern correlated with HIV-related risky sexual behavior among HIV-negative men who have sex with men: a latent profile analysis Environmental Health and Preventive Medicine hiv-negative msm hiv-related risky behaviors psychosocial characteristics latent profile analysis |
| title | Psychosocial characteristics pattern correlated with HIV-related risky sexual behavior among HIV-negative men who have sex with men: a latent profile analysis |
| title_full | Psychosocial characteristics pattern correlated with HIV-related risky sexual behavior among HIV-negative men who have sex with men: a latent profile analysis |
| title_fullStr | Psychosocial characteristics pattern correlated with HIV-related risky sexual behavior among HIV-negative men who have sex with men: a latent profile analysis |
| title_full_unstemmed | Psychosocial characteristics pattern correlated with HIV-related risky sexual behavior among HIV-negative men who have sex with men: a latent profile analysis |
| title_short | Psychosocial characteristics pattern correlated with HIV-related risky sexual behavior among HIV-negative men who have sex with men: a latent profile analysis |
| title_sort | psychosocial characteristics pattern correlated with hiv related risky sexual behavior among hiv negative men who have sex with men a latent profile analysis |
| topic | hiv-negative msm hiv-related risky behaviors psychosocial characteristics latent profile analysis |
| url | https://www.jstage.jst.go.jp/article/ehpm/28/0/28_22-00157/_html/-char/en |
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