{"doi":"10.1177/0956462420909733","title":"Do the same socio-demographic variables predict testing uptake and sero-status? HIV and syphilis among an observational sample of Chinese men who have sex with men in Shanghai, China","abstract":"HIV and syphilis are pronounced among men who have sex with men (MSM) in China and often occur as co-infections, while testing remains low. Few studies examine common predictors across these outcomes. This observational venue-based sample of 546 MSM in Shanghai, China used a common set of psychosocial predictors to construct logistic models for the outcomes (HIV non-testing, syphilis non-testing, HIV sero-status, and syphilis sero-status). Fifty-seven (10.7%) participants tested positive for HIV, 126 (23.5%) for syphilis, and 33% of HIV-positive participants had a co-infection. Non-sex working MSM had consistently higher odds of HIV and syphilis non-testing (OR= 2.2, 95% CI 1.4–3.5, p < 0.001; OR = 2.4, 95, 95% CI 1.5–3.8, p < 0.001, respectively) compared to ‘money boy’ sex workers. Participants with a 0 score on HIV knowledge had 4.1 times (95% CI 1.4–12.5, p = 0.01) the odds of reporting HIV non-testing, 6.0 (95% CI 1.96–18.5, p < 0.01) times the odds of reporting non-testing for syphilis, and 8.44 times (95% CI 1.19–59.7, p = 0.03) the odds of testing positive for HIV, compared to a score of 8. The results highlighted the importance of integrating HIV/syphilis education and promoting testing for both HIV and syphilis among all sub-groups of MSM in China.","journal":"International Journal of STD & AIDS","year":2020,"id":113376,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9503,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":535150,"name":"Minh Luu","orcid":"0000-0001-7909-7842","position":1,"is_corresponding":false},{"id":420803,"name":"Eric J. Nehl","orcid":"0000-0003-3930-9235","position":2,"is_corresponding":false},{"id":443749,"name":"Na He","orcid":"0000-0001-5560-5312","position":3,"is_corresponding":false},{"id":535151,"name":"Tony Zheng","orcid":"0000-0002-7680-2152","position":4,"is_corresponding":false},{"id":414807,"name":"Regine Haardörfer","orcid":null,"position":5,"is_corresponding":false},{"id":535152,"name":"Frank Y. Wong","orcid":"0000-0001-5835-9938","position":6,"is_corresponding":false},{"id":535149,"name":"Casey D. Xavier Hall","orcid":"0000-0003-1658-3717","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":null,"created_at":"2026-07-18T23:13:21.458038Z","pmid":"32772687","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}