Abstract
Background
HIV self-testing has been promoted globally as an effective complement to facility-based testing, particularly among men who have sex with men (MSM). However, evidence on HIV self-testing uptake and its determinants in western China remains limited.
Objective
To assess the prevalence of HIV self-testing and identify associated factors among MSM in Chongqing, China.
Methods
A cross-sectional study was conducted from March 2021 to March 2022 among MSM recruited using a snowball sampling strategy at CDC-based voluntary counseling and testing clinics in Chongqing. Participants completed an anonymous face-to-face questionnaire covering socio-demographic characteristics, HIV-related knowledge, sexual behaviors in the past 6 months, substance use, and HIV self-testing history. Multivariate logistic regression was used to identify factors associated with HIV self-testing.
Results
A total of 2,315 MSM were included. Overall, 16.2% (374/2,315) reported ever using HIV self-testing kits, with blood-based tests accounting for 97.6% of use. Higher educational attainment (high school/vocational school: OR = 2.56; college or above: OR = 3.60), having two or more sexual partners in the past 6 months (OR = 11.85), and use of sexual stimulants (OR = 3.49) were positively associated with HIV self-testing. Being married or cohabiting was negatively associated with HIV self-testing (OR = 0.30).
Conclusion
HIV self-testing uptake among MSM in Chongqing remains low. Education level, marital status, sexual behavior, and stimulant use were key correlates. These findings underscore the need to integrate HIV self-testing into existing HIV prevention services, with targeted strategies for MSM with lower educational attainment and those in stable partnerships.
Keywords: associated factors, China, HIV, HIV self-testing, men who have sex with men
Introduction
HIV infection continues to pose a major global public health challenge. According to the Joint United Nations Programme on HIV/AIDS, approximately 40.8 million people were living with HIV worldwide in 2024, with nearly 87% aware of their infection status (1). Despite substantial progress, gaps in HIV diagnosis persist in many countries. In China, an estimated 20% of people living with HIV remain unaware of their infection, indicating that the first target of the UNAIDS “95–95–95” goals has not yet been achieved (2, 3).
Men who have sex with men (MSM) are one of the populations most affected by HIV (4, 5). In China, the proportion of newly reported HIV infections attributed to MSM has increased markedly over the past two decades (6), highlighting the urgent need for effective testing and prevention strategies tailored to this group. Early diagnosis through regular HIV testing remains the cornerstone of HIV prevention and treatment, as it enables timely linkage to care and reduces onward transmission.
Although China has implemented extensive facility-based HIV testing services, including free voluntary counseling and testing (7), uptake among MSM remains suboptimal. Barriers such as stigma, concerns about confidentiality, inconvenient service hours, and discomfort with clinical settings continue to limit testing coverage (8, 9). HIV self-testing, which allows individuals to collect samples, perform tests, and interpret results privately, offers a promising alternative, has been widely promoted and extensively utilized among MSM populations (10, 11). HIV self-testing has been shown to increase testing frequency, reach first-time testers, and reduce testing-related barriers among MSM (12, 13).
While HIV self-testing has been increasingly promoted in China, most existing studies have focused on coastal or economically developed regions (14–16). Evidence from western China, particularly large municipalities such as Chongqing, remains limited. Compared with coastal metropolitan areas in China, western regions are characterized by relatively uneven economic development, large internal migration flows, and disparities in access to community-based sexual health resources (17). In addition, expansion of HIV self-testing distribution channels in recent years and the reorganization of health services following the COVID-19 pandemic may have reshaped testing pathways for MSM (18). Updated data from Chongqing are therefore essential to understand how these contextual factors influence HIV self-testing uptake in an under-documented but epidemiologically important setting. Therefore, this study aimed to assess the uptake of HIV self-testing and identify associated factors among MSM in Chongqing, China.
Objects and methods
Study design and participants
This cross-sectional study was conducted from March 2021 to March 2022 in Chongqing, China. Participants were recruited at AIDS counseling clinics of the Chongqing Municipal Center for Disease Control and Prevention and the Jiangbei District Center for Disease Control and Prevention.
Eligibility criteria included: (1) age ≥ 18 years; (2) history of anal or oral sex with another man in the past year; (3) ability to provide informed consent and complete the questionnaire independently. Individuals with severe mental disorders or inability to complete the questionnaire were excluded. The age criterion of 18 years or older was applied in accordance with national ethical regulations regarding the legal capacity to provide informed consent for HIV-related surveys.
Sampling and data collection
Snowball sampling was adopted because MSM represent a hidden and stigmatized population in China, making probability-based sampling difficult to implement. This strategy has been widely used in HIV research to reach individuals who may otherwise remain inaccessible through routine recruitment approaches (4). After providing informed consent, participants completed a face-to-face anonymous questionnaire administered by trained staff in a private setting. The questionnaire collected information on socio-demographic characteristics, HIV/AIDS knowledge, sexual behaviors in the past 6 months, substance use (including sexual stimulants), and history of HIV self-testing. HIV/AIDS-related knowledge was assessed using eight standardized questions from the National HIV Sentinel Surveillance Questionnaire, with six or more correct answers indicating adequate knowledge.
Following the survey, blood samples were collected for HIV and syphilis antibody testing according to standard laboratory procedures.
Measures
HIV self-testing was defined as ever having used an HIV self-testing kit, regardless of testing frequency or timing. Sexual stimulant use referred to the use of aphrodisiacs or recreational substances to enhance sexual experience in the past 6 months. Information was collected as a composite measure, and specific types of substances were not differentiated.
Quality control
All investigators received standardized training prior to data collection. Logical checks were embedded in the questionnaire system to reduce entry errors. Completed questionnaires were reviewed on-site for completeness and consistency, and any discrepancies were clarified immediately.
Statistical analysis
Data were analyzed using SPSS version 25.0. Descriptive statistics were used to summarize participant characteristics. Chi-square tests were conducted to examine differences in HIV self-testing across subgroups. Variables with p < 0.05 in univariate analyses were entered into a multivariate logistic regression model to identify factors independently associated with HIV self-testing. Odds ratios (ORs) and 95% confidence intervals (CIs) were reported, with p < 0.05 considered statistically significant. However, selecting variables based on statistical significance in univariate analyses is a commonly used approach; however, this strategy may overlook potential conceptual confounders. Therefore, findings should be interpreted with caution.
Results
Participant characteristics
A total of 2,315 MSM were included in the analysis. The mean age of participants was 32.6 years (standard deviation: 10.8), and 46.2% were aged 25–34 years. Most participants were unmarried (72.2%) and identified as homosexual (80.0%). Approximately 64.8% had a college degree or higher, and 87.9% demonstrated adequate HIV/AIDS-related knowledge (Table 1).
Table 1.
Characteristics, sexual behaviors and substance use of MSM in Chongqing.
| Variables | Number | Proportion (%) |
|---|---|---|
| Age group | ||
| ≤ 24 | 526 | 22.7 |
| 25~34 | 1,069 | 46.2 |
| ≥35 | 720 | 31.1 |
| Marital status | ||
| Unmarried | 1,672 | 72.2 |
| Marriage/Cohabitation | 459 | 19.8 |
| Divorced or widowed | 184 | 7.9 |
| Degree of education | ||
| Junior high school and below | 375 | 16.2 |
| High school or vocational school | 441 | 19.0 |
| College degree or above | 1,499 | 64.8 |
| Character | ||
| Insert a square | 520 | 22.5 |
| Inserted party | 941 | 40.6 |
| Both | 854 | 36.9 |
| Sex orientation | ||
| Homosexuality | 1,852 | 80.0 |
| Bisexuality | 463 | 20.0 |
| Age group at first male–male sex | ||
| ≤ 17 | 277 | 12.0 |
| 18~24 | 1,456 | 62.9 |
| ≥25 | 582 | 25.1 |
| Number of sexual partners in the past 6 months | ||
| 1 or fewer | 2,278 | 98.4 |
| 2 or more | 37 | 1.6 |
| Drug use | ||
| Yes | 12 | 0.5 |
| No | 2,303 | 99.5 |
| Use of sexual stimulants | ||
| No | 2,030 | 87.7 |
| Yes | 285 | 12.3 |
| HIV/AIDS-related knowledge | ||
| No | 280 | 12.1 |
| Yes | 2,035 | 87.9 |
| HIV antibody positive | ||
| Yes | 291 | 12.6 |
| No | 2,024 | 87.4 |
| Syphilis antibody positive | ||
| Yes | 412 | 17.8 |
| No | 1,903 | 82.2 |
Sexual behaviors and substance use
The mean age at first male–male sexual intercourse was 22.4 years (standard deviation: 6.8). In the past 6 months, 1.6% of participants reported having two or more sexual partners. Use of sexual stimulants during the same period was reported by 12.3% of participants (Table 1).
HIV self-testing uptake
Overall, 16.2% (374/2,315) of participants reported ever using HIV self-testing kits. Among them, blood-based self-testing kits were the most commonly used (97.6%), while saliva-based and urine-based kits were used less frequently (Table 2).
Table 2.
Univariate analysis of HIV self-testing among MSM in Chongqing.
| Variables | HIV self-testing (%) | Single factor analysis | |
|---|---|---|---|
| χ2 | P | ||
| Age group | |||
| ≤ 24 | 101 (19.2) | 12.137 | 0.002 |
| 25~34 | 184 (17.2) | ||
| ≥35 | 89 (12.4) | ||
| Marital status | |||
| Unmarried | 327 (19.6) | 55.541 | < 0.001 |
| Marriage/cohabitation | 25 (5.4) | ||
| Divorced or widowed | 22 (12.0) | ||
| Degree of education | |||
| Junior high school and below | 16 (4.3) | 57.546 | < 0.001 |
| High school or vocational school | 59 (13.4) | ||
| College degree or above | 299 (19.9) | ||
| Character | |||
| Insert a square | 99 (19.0) | 6.555 | 0.038 |
| Inserted party | 132 (14.0) | ||
| Both | 143 (16.7) | ||
| Sex orientation | |||
| Homosexuality | 322 (17.4) | 10.361 | 0.001 |
| Bisexuality | 52 (11.2) | ||
| Age group at first male–male sex | |||
| ≤ 17 | 51 (18.4) | 3.044 | 0.218 |
| 18~24 | 241 (16.6) | ||
| ≥25 | 82 (14.1) | ||
| Number of sexual partners in the past 6 months | |||
| 1 or fewer | 348 (15.3) | 81.290 | < 0.001 |
| 2 or more | 26 (70.3) | ||
| Drug use | |||
| Yes | 0 | 0.234 | |
| No | 374 (16.2) | ||
| Use of sexual stimulants | |||
| No | 259 (12.8) | 140.465 | < 0.001 |
| Yes | 115 (40.4) | ||
| HIV/AIDS-related knowledge | |||
| No | 27 (9.6) | 9.974 | 0.002 |
| Yes | 347 (17.1) | ||
| HIV antibody positive | |||
| Yes | 49 (16.8) | 0.115 | 0.735 |
| No | 325 (16.1) | ||
| Syphilis antibody positive | |||
| Yes | 78 (18.9) | 2.852 | 0.091 |
| No | 296 (15.6) | ||
Factors associated with HIV self-testing
In multivariate logistic regression analysis, higher educational attainment was significantly associated with HIV self-testing, with increased odds observed among participants with high school/vocational education and those with college education or above. Having two or more sexual partners in the past 6 months and use of sexual stimulants were also positively associated with HIV self-testing. In contrast, being married or cohabiting was negatively associated with HIV self-testing. HIV/AIDS-related knowledge was not independently associated with HIV self-testing after adjustment for other variables (Table 3).
Table 3.
Multivariate logistic regression analysis of MSM HIV self-testing in Chongqing.
| Variables | Multiplicity | ||
|---|---|---|---|
| OR | 95% CI | P | |
| Age group | |||
| ≤ 24 | 1 | – | – |
| 25~34 | 0.862 | 0.645~1.152 | 0.315 |
| ≥35 | 1.096 | 0.749~1.604 | 0.638 |
| Marital status | |||
| Unmarried | 1 | – | – |
| Marriage/cohabitation | 0.297 | 0.184~0.478 | < 0.001 |
| Divorced or widowed | 0.700 | 0.402~1.220 | 0.209 |
| Degree of education | |||
| Junior high school and below | 1 | – | – |
| High school or vocational school | 2.561 | 1.413~4.644 | 0.002 |
| College degree or above | 3.600 | 2.087~6.210 | < 0.001 |
| Character | |||
| Insert a square | 1 | – | – |
| Inserted party | 0.877 | 0.642~1.198 | 0.409 |
| Both | 0.858 | 0.630~1.168 | 0.330 |
| Sex orientation | |||
| Homosexuality | 1 | – | – |
| Bisexuality | 0.863 | 0.614~1.211 | 0.393 |
| Number of sexual partners in the past 6 months | |||
| 1 or fewer | 1 | – | – |
| 2 or more | 11.848 | 5.311~26.430 | < 0.001 |
| Use of sexual stimulants | |||
| No | 1 | – | – |
| Yes | 3.490 | 2.618~4.653 | < 0.001 |
| HIV/AIDS-related knowledge | |||
| No | 1 | – | – |
| Yes | 1.452 | 0.928~2.272 | 0.102 |
Discussion
From a behavioral perspective, uptake of HIV self-testing may reflect perceived susceptibility, perceived benefits, and barriers to service access, as described in health behavior theories such as the Health Belief Model (19). In western China, structural conditions including economic diversity, migration, and unequal distribution of community resources may further shape how MSM evaluate different testing options (17). Moreover, temporary restrictions on facility-based services during local COVID-19 outbreaks might have increased the attractiveness of private and flexible testing approaches such as self-testing (18).
This study assessed the prevalence of HIV self-testing and its associated factors among MSM in Chongqing, China. The findings indicate that HIV self-testing uptake remains relatively low, despite slightly higher than the 2017 survey result (20). Compared with studies conducted in eastern and coastal regions of China (21–23), the prevalence observed in Chongqing was substantially lower, suggesting regional disparities in HIV self-testing accessibility and acceptance.
We found that marital/cohabitation status was negatively associated with HIV self-testing, aligns with previous research (24, 25). MSM in stable relationships may avoid testing due to concerns about partner discovery, potential relationship disruption, and reduced risk awareness. Despite this, these individuals remain at high risk of HIV infection (26). This finding highlights the need for discreet and stigma-free testing options tailored to MSM in stable relationships.
Higher educational attainment was positively associated with HIV self-testing, consistent with findings from other studies (27–29). Individuals with higher education may have better access to health information, greater awareness of HIV prevention strategies, and higher confidence in using self-testing kits (30, 31). Targeted interventions are therefore needed to improve HIV self-testing uptake among MSM with lower educational levels.
Multiple sexual partners and sexual stimulant use are linked to high-risk sexual behaviors (32–34). The strong association between having multiple sexual partners, sexual stimulant use, and HIV self-testing suggests that individuals engaging in higher-risk behaviors may have greater risk perception and motivation to test, aligns with most research (35, 36). Integrating HIV self-testing with behavioral risk reduction interventions may further enhance its public health impact. However, only a small proportion of participants reported having two or more sexual partners. Sparse data in this category may have produced unstable estimates and inflated odds ratios. Therefore, the magnitude of this association should be interpreted cautiously.
The loss of statistical significance after multivariate adjustment may suggest that the effect of HIV-related knowledge is mediated by factors such as education level or prior engagement with health services (37). In other words, knowledge alone may be insufficient to translate into testing behavior without supportive structural conditions (38).
The high usage rate of blood-based self-testing kits (97.6%) compared to saliva (14.2%) and urine (1.3%) kits aligns with findings by Shan et al. (39). This may relate to price differences, as blood-based kits are generally more affordable. Cost is a significant barrier to obtaining self-testing kits (40, 41), and providing free kits can substantially increase testing frequency (42). It is important to emphasize that HIV self-testing serves as a supplement to traditional testing rather than a replacement, as results provide preliminary information and should not be used as a final diagnosis (43).
More locally tailored implementation strategies may be required in Chongqing. Discreet mail-delivery of self-testing kits could improve accessibility for married MSM or those concerned about unintended disclosure (44). For individuals with lower educational attainment, pictorial or video-based instructions and community-assisted demonstrations may enhance correct usage and confidence (45). Strengthening collaboration between CDC services and community-based organizations may also facilitate distribution, follow-up, and referral (46).
Limitations
Several limitations should be noted. First, the cross-sectional design precludes causal inference. Second, because recruitment partly relied on VCT clinics and peer referral, MSM who were already connected to health services or possessed higher health literacy may have been over-represented. Studies comparing clinic-based and online samples in China suggest that facility-recruited participants often report greater testing experience (47). Consequently, our findings may not fully reflect more hidden subgroups. Third, behavioral data were self-reported and may be subject to recall and social desirability biases. In addition, sexual stimulant use was measured as a combined category, and we were unable to distinguish between different substances. Because various drugs may influence risk perception and testing motivation in different ways, more detailed classification should be incorporated in future research. Furthermore, we did not collect information on linkage to confirmatory testing or treatment among individuals with reactive results. As a result, the contribution of HIV self-testing to subsequent stages of the care cascade could not be evaluated.
Strengths
Despite these limitations, this study provides updated evidence from a large sample of MSM in a major municipality of western China. Unlike earlier studies conducted in Chongqing and other regions of China, this study was carried out after the broader promotion of HIV self-testing policies and during a period marked by changes in healthcare access following the COVID-19 pandemic. By using a large clinic-based sample and examining both behavioral and contextual factors, this study provides updated evidence on HIV self-testing uptake among MSM in a major municipality in western China, offering insights into persistent gaps and priority subgroups for intervention. Although linkage to confirmatory diagnosis and treatment is critical for achieving subsequent cascade targets, promoting initial test uptake remains the necessary first step.
Conclusion
HIV self-testing uptake among MSM in Chongqing remains limited in the context of evolving testing policies. Uptake was associated with education level, marital status, sexual behavior, and stimulant use. Targeted, context-sensitive strategies, particularly those supporting men in stable partnerships and individuals with lower educational attainment may help expand early diagnosis and contribute to progress toward the UNAIDS testing targets.
Acknowledgments
The authors are grateful for the guidance and help of National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, also grateful for help of Jiangbei Center for Disease Control, Hechuan Center for Disease Control.
Funding Statement
The author(s) declared that financial support was received for this work and/or its publication. This study was supported by Chongqing Natural Science Foundation Project (CSTB2025NS CQ-GPX0291) and Chongqing Medical Scientific Research Project (2026MSXM133).
Footnotes
Edited by: Miguel Angel Sanchez-Aleman, National Institute of Public Health, Mexico
Reviewed by: Kra Djuhé Arsène Kouassi, IRD U196 Centre population et développement (CEPED), France
Dongmin Li, Chinese Center For Disease Control and Prevention, China
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by Medical Ethics Committee of the Chongqing Center for Disease Control and Prevention (approval number: KY-2019-002-1). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
TT: Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing, Conceptualization. BT: Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing – original draft, Writing – review & editing, Conceptualization, Supervision. GW: Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing. CZ: Conceptualization, Data curation, Formal analysis, Methodology, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing. LL: Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. CB: Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. JL: Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. YH: Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. HJ: Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. WZ: Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing. RL: Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing. XL: Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
