About: Epidemics of HIV Infection among Heavy Drug Users of Depressants Only, Stimulants Only, and Both Depressants and Stimulants in Mainland China: A Series, Cross-Sectional Studies

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About: Epidemics of HIV Infection among Heavy Drug Users of Depressants Only, Stimulants Only, and Both Depressants and Stimulants in Mainland China: A Series, Cross-Sectional Studies Goto Sponge NotDistinct Permalink

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Epidemics of HIV Infection among Heavy Drug Users of Depressants Only, Stimulants Only, and Both Depressants and Stimulants in Mainland China: A Series, Cross-Sectional Studies
Creator	Zhang, Bo Liu, Zhi-Min Jia, Zhong-Wei Li, Yong-Jie Lu, Zu-Hong Yan, Xiang-Yu
Source	Medline; PMC
abstract	Background: Heavy drug users was a global consensus high-risk population of HIV infection. However, the specific impact of drug on HIV infection has not yet been established. Depressants and stimulants were most widely used drugs in mainland China, and mix use of the two drugs was also serious. We assessed the HIV infection rate and trends in heavy drug users by analyzing data from the National Dynamic Management and Control Database for Drug Users (NDMCDDU). Methods: All heavy drug users with HIV test results in NDMCDDU from 2008 to 2016 were grouped into depressants only group (DOG), stimulants only group (SOG), and both depressants and stimulants group (DSG). We used joinpoint regression to examine trends of HIV infection rates. Multivariable logistic regression was used to examine factors related to HIV infection. Results: A total of 466,033 heavy drug users with 9522 cases of HIV infection were included in this analysis. HIV infection rate was estimated at 2.97% (95% CI 2.91–3.04%) of 265,774 users in DOG, 0.45% (95% CI 0.42–0.49%) of 140,895 users in SOG, and 1.65% (95% CI 1.55–1.76%) of 59,364 users in DSG. In DOG, a U-shaped curve of HIV infection rate decreased from 3.85% in 2008 to 2.19% in 2010 (annual percent change (APC) −12.9, 95% CI −19.3–−6.0, p < 0.05), then increased to 4.64% in 2016 (APC 8.3, 95% CI 6.1–10.4, p < 0.05) was observed. However, SOG and DSG showed consistent increases from 0.15% in 2008 to 0.54% in 2016 (APC 8.2, 95% CI 4.8–11.8, p < 0.05) and from 0.78% in 2008 to 2.72% in 2016 (APC 13.5, 95% CI 10.7–16.4, p < 0.05), respectively. HIV infection rate of DOG in the southwest region presented a U-shaped trend. All groups showed significant increases in HIV infection in east and central regions. Conclusions: The U-shaped curve for HIV infection rate among DOG users and consistent increases among SOG and DSG users implies drug abuse is still a critical focus of HIV infection in China. It is urgently needed to reassess the effectiveness of current strategies on HIV prevention and control among drug users.
has issue date	2020-07-29(xsd:dateTime)
bibo:doi	10.3390/ijerph17155483
bibo:pmid	32751337
has license	cc-by
sha1sum (hex)	13541c993578c8b177165d9536ce2d2f41f5778e
schema:url	https://doi.org/10.3390/ijerph17155483
resource representing a document's title	Epidemics of HIV Infection among Heavy Drug Users of Depressants Only, Stimulants Only, and Both Depressants and Stimulants in Mainland China: A Series, Cross-Sectional Studies
has PubMed Central identifier	PMC7431999
has PubMed identifier	32751337
schema:publication	Int J Environ Res Public Health
resource representing a document's body	covid:13541c993578c8b177165d9536ce2d2f41f5778e#body_text
is schema:about of	named entity '2016' named entity '2008' named entity 'infection' named entity 'However' named entity 'depressants' named entity 'needed' named entity 'DOG' named entity 'APC' named entity 'groups' named entity 'HIV' named entity 'Stimulants' named entity 'Drug Users' named entity 'U-SHAPED' named entity 'TRENDS' named entity 'INCREASED' covid:arg/13541c993578c8b177165d9536ce2d2f41f5778e named entity 'DSG' named entity 'data' named entity 'group' named entity 'cases' named entity 'mainland China' named entity 'users' named entity 'U-shaped' named entity 'curve' named entity 'percent change' named entity 'effectiveness' named entity 'central regions' named entity 'drug users' named entity 'SOG' named entity 'drug users' named entity 'infection' named entity 'infection' named entity 'control' named entity 'prevention and control' named entity '10.4' named entity 'HIV infection' named entity '95% CI' named entity 'HIV infection' named entity 'HIV infection' named entity '95% CI' named entity 'HIV' named entity '10.7' named entity 'infection' named entity 'HIV test' named entity 'HIV infection' named entity 'infection' named entity 'Stimulants' named entity 'Stimulants' named entity 'Cross-Sectional Studies' named entity 'users' named entity 'DSG' named entity 'All' named entity 'odds ratios' named entity 'China' named entity 'infectious diseases' named entity 'Depressants' named entity 'Stimulants' named entity 'Guangxi' named entity 'HIV infection' named entity 'risk factor' named entity '95% CI' named entity 'COVID-19 pandemic' named entity 'drug users' named entity 'China' named entity 'China' named entity 'HIV/AIDS' named entity 'statistical difference' named entity 'three-drug' named entity 'racial minorities' named entity 'access to healthcare' named entity 'Sichuan' named entity 'HIV' named entity 'Western countries' named entity 'HIV infection' named entity 'HIV' named entity 'HIV'

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