Article(id=1241771812929999159, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241771801366299468, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202404438, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1712505600000, receivedDateStr=2024-04-08, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773991071207, onlineDateStr=2026-03-20, pubDate=1729785600000, pubDateStr=2024-10-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773991071207, onlineIssueDateStr=2026-03-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773991071207, creator=13701087609, updateTime=1773991071207, updator=13701087609, issue=Issue{id=1241771801366299468, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='20', pageStart='3649', pageEnd='3840', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773991068450, creator=13701087609, updateTime=1773991676896, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241774353457681403, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241771801366299468, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241774353457681404, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241771801366299468, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=3799, endPage=3803, ext={EN=ArticleExt(id=1241771814976819560, articleId=1241771812929999159, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Analysis on the late diagnosis of newly reported HIV/AIDS cases, Heibei Province, 2016-2022, columnId=null, journalTitle=Modern Preventive Medicine, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Objective To analyze the late diagnosis of newly reported HIV/AIDS in Hebei province from 2016 to 2022, and to understand the proportion of late diagnosis of HIV/AIDS and its influencing factors.
Methods The information of newly reported HIV/AIDS cases in Hebei province from 2016 to 2022 was collected through the national basic information system of HIV/AIDS, and identified relevant cases by definition of late diagnosis. Trend Chi-square test was used to analyze the changing trend of late diagnosis proportion, the influencing factors of late diagnosis were analyzed by Chi-square test and Logistic regression model.
Results From 2016 to 2022, 14 689 HIV/AIDS cases were newly reported in Hebei province, and the proportion of late diagnosis was 33.1%. The proportion of late diagnosis showed an upward trend in each year (χ2=69.826, P<0.001). The results of Logistic regression showed that the proportion of late diagnosis was higher in the farmers, the source of testing consulting and medical institutions and other, and the higher age group. The OR (95%CI) of farmers was 1.154 (1.021-1.303) compared with the household workers, and the unemployed. Compared with the custodial population, the OR (95%CI) of testing counseling and medical institutional and other sources were 1.909 (1.236-2.949), 3.205 (2.08-4.938) and 1.808 (1.136-2.875). The OR (95%CI) of each age group was 1.945 (1.469-2.577), 3.279 (2.458-4.375), 3.996 (2.97-5.377), 5.223 (3.87-7.05) and 5.202 (3.814-7.095), respectively. The proportion of late diagnosis varies greatly in different cities, City 5, City 11 and City 1 was higher than the average of the whole province.
Conclusion From 2016 to 2022, the proportion of late diagnosis HIV/AIDS cases in Hebei province is increased in each year, and there are big regional differences. Occupation, sample source and age are the influential factors of late diagnosis, targeted measures should be taken to prevent and improve the ability of early detection.
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目的 分析2016—2022年河北省新报告艾滋病病毒感染者/艾滋病患者(HIV/AIDS)晚发现情况,了解全省HIV/AIDS晚发现比例及影响因素。
方法 通过艾滋病防治基本信息系统获得2016—2022年河北省新报告HIV/AIDS数据库,按晚发现定义识别相关病例。采用趋势χ2检验分析晚发现比例变化趋势,采用χ2检验和logistic回归模型分析晚发现影响因素。
结果 2016—2022年河北省新报告HIV/AIDS病例数为14 689,晚发现比例为33.1%。各年度晚发现比例呈上升趋势(χ2=69.826,P<0.001)。不同城市晚发现比例不同。Logistic回归模型结果显示农民、检测咨询、医疗机构及其他来源、越高年龄组HIV/AIDS病例晚发现率更高,与家政、家务及待业人群相比,农民OR值(95% CI)为1.154(1.021~1.303);与羁押人群相比,检测咨询与、医疗机构、其他来源的OR值(95% CI)分别为1.909(1.236~2.949)、3.205(2.08~4.938)和1.808(1.136~2.875);与0~19岁组相比,各年龄组OR值(95% CI)分别为1.945(1.469~2.577)、3.279(2.458~4.375)、3.996(2.97~5.377)、5.223(3.87~7.05)和5.202(3.814~7.095)。
结论 2016—2022年河北省新报告HIV/AIDS晚发现比例逐年上升,地区差异大。职业、样本来源、年龄是晚发现的影响因素,应采取针对性的防控手段,提高早发现能力。
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本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点,除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=IIwBzisqTRPao24/r9sn5Q==, magXml=ZiYVyVpNY49QK/sT6I11QQ==, pdfUrl=null, pdf=7a2R8rcOLd2J6uklqSxiow==, pdfFileSize=495228, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=dCuWcYV2D4krVWWJh1aaLQ==, mapNumber=null, authorCompany=null, fund=null, authors=
吴小雪(1989—),女,硕士,主管医师,研究方向:艾滋病防治工作
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30(1):6-10, 19., articleTitle=安徽省2018—2022年新诊断来源于医疗机构的HIV/AIDS晚发现影响因素分析, refAbstract=null), Reference(id=1241771830269252586, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, doi=null, pmid=null, pmcid=null, year=2024, volume=30, issue=1, pageStart=6, pageEnd=10, 19, url=null, language=null, rfNumber=[18], rfOrder=35, authorNames=Jin L, Zhang J, Qin YZ, journalName=Anhui Journal of Prevent Medicine, refType=null, unstructuredReference=
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30(1): 6-10, 19. (In Chinese), articleTitle=Analysis of the influential factors of late diagnosis among newly identified HIV/AIDS cases from medical institutions in Anhui Province from 2018 to 2022, refAbstract=null)], funds=[Fund(id=1241771824908931932, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, awardId=20210728, language=CN, fundingSource=2021年度河北省医学科学研究课题(20210728), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241771817371767333, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, xref=null, ext=[AuthorCompanyExt(id=1241771817384350248, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, companyId=1241771817371767333, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Department of STD/AIDS Control and Prevention, Hebei Province Center for Disease Prevention and Control, Shijiazhuang, Hebei 050021, China), AuthorCompanyExt(id=1241771817392738858, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, companyId=1241771817371767333, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=河北省疾病预防控制中心性病艾滋病防治所,河北 石家庄 050021)])], figs=[ArticleFig(id=1241771824057488185, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, language=EN, label=Table 1, caption=
The late diagnosis of newly reported HIV/AIDS cases in Hebei province from 2016 to 2022
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份 | 报告病例数 | 晚发现数 | 合计 | 晚发现比例(%) |
|---|
| 1类 | 2类 | 3类 | 4类 | 5类 |
|---|
| 2016 | 1 829 | 80 | 346 | 20 | 1 | 34 | 481 | 26.3 |
| 2017 | 1 977 | 92 | 423 | 17 | 3 | 48 | 583 | 29.5 |
| 2018 | 2 137 | 89 | 524 | 12 | 0 | 52 | 677 | 31.7 |
| 2019 | 2 245 | 82 | 574 | 13 | 2 | 63 | 734 | 32.7 |
| 2020 | 2 195 | 101 | 658 | 20 | 2 | 60 | 841 | 38.3 |
| 2021 | 2 409 | 93 | 680 | 20 | 3 | 85 | 881 | 36.6 |
| 2022 | 1 897 | 83 | 482 | 14 | 3 | 78 | 660 | 34.8 |
| 合计 | 14 689 | 620 | 3 687 | 116 | 14 | 420 | 4 857 | 33.1 |
), ArticleFig(id=1241771824187511614, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, language=CN, label=表1, caption=
2016—2022年河北省新报告HIV/AIDS晚发现情况
, figureFileSmall=null, figureFileBig=null, tableContent=
| 年份 | 报告病例数 | 晚发现数 | 合计 | 晚发现比例(%) |
|---|
| 1类 | 2类 | 3类 | 4类 | 5类 |
|---|
| 2016 | 1 829 | 80 | 346 | 20 | 1 | 34 | 481 | 26.3 |
| 2017 | 1 977 | 92 | 423 | 17 | 3 | 48 | 583 | 29.5 |
| 2018 | 2 137 | 89 | 524 | 12 | 0 | 52 | 677 | 31.7 |
| 2019 | 2 245 | 82 | 574 | 13 | 2 | 63 | 734 | 32.7 |
| 2020 | 2 195 | 101 | 658 | 20 | 2 | 60 | 841 | 38.3 |
| 2021 | 2 409 | 93 | 680 | 20 | 3 | 85 | 881 | 36.6 |
| 2022 | 1 897 | 83 | 482 | 14 | 3 | 78 | 660 | 34.8 |
| 合计 | 14 689 | 620 | 3 687 | 116 | 14 | 420 | 4 857 | 33.1 |
), ArticleFig(id=1241771824309146438, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, language=EN, label=Table 2, caption=
The late diagnosis of HIV/AIDS in different cities from 2016 to 2022
, figureFileSmall=null, figureFileBig=null, tableContent=
| 地区 | 报告病例数 | 晚发现数 | 晚发现比例(%) |
|---|
| 城市1 | 3 470 | 1 233 | 35.5 |
| 城市2 | 1 741 | 556 | 31.9 |
| 城市3 | 779 | 188 | 24.1 |
| 城市4 | 1 062 | 333 | 31.4 |
| 城市5 | 978 | 409 | 41.8 |
| 城市6 | 2 383 | 774 | 32.5 |
| 城市7 | 634 | 208 | 32.8 |
| 城市8 | 518 | 171 | 33.0 |
| 城市9 | 1 673 | 487 | 29.1 |
| 城市10 | 868 | 283 | 32.6 |
| 城市11 | 583 | 215 | 36.9 |
| 全省 | 14 689 | 4 857 | 33.1 |
), ArticleFig(id=1241771824384643914, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, language=CN, label=表2, caption=
2016—2022年各市报告HIV/AIDS晚发现情况
, figureFileSmall=null, figureFileBig=null, tableContent=
| 地区 | 报告病例数 | 晚发现数 | 晚发现比例(%) |
|---|
| 城市1 | 3 470 | 1 233 | 35.5 |
| 城市2 | 1 741 | 556 | 31.9 |
| 城市3 | 779 | 188 | 24.1 |
| 城市4 | 1 062 | 333 | 31.4 |
| 城市5 | 978 | 409 | 41.8 |
| 城市6 | 2 383 | 774 | 32.5 |
| 城市7 | 634 | 208 | 32.8 |
| 城市8 | 518 | 171 | 33.0 |
| 城市9 | 1 673 | 487 | 29.1 |
| 城市10 | 868 | 283 | 32.6 |
| 城市11 | 583 | 215 | 36.9 |
| 全省 | 14 689 | 4 857 | 33.1 |
), ArticleFig(id=1241771824615330641, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, language=EN, label=Table 3, caption=
Late diagnosis proportion of HIV/AIDS with different characteristics
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 报告数[n(%)] | 晚发现 | 单因素分析 | 多因素分析 |
|---|
| 例数 | 占比(%) | χ2 | P | P | OR(95%CI) |
|---|
| 性别 | | | | 0.065 | 0.799 | | |
| 女 | 1 361(9.3) | 407 | 29.9 | | | | |
| 男 | 13 328(90.7) | 4 030 | 30.2 | | | | |
| 职业 | | | | 201.496 | <0.001 | | |
| 家政、家务及待业 | 1 932(13.2) | 535 | 27.7 | | | | 1.00 |
| 农民 | 5 694(38.8) | 2 080 | 36.5 | | | 0.021 | 1.154(1.021,1.303) |
| 工人 | 1 139(7.8) | 346 | 30.4 | | | 0.929 | 0.992(0.840,1.173) |
| 其他 | 5 924(40.2) | 1 476 | 24.9 | | | 0.207 | 0.925(0.820,1.044) |
| 婚姻状况 | | | | 363.549 | <0.001 | | |
| 已婚有配偶 | 6 991(47.6) | 2 459 | 35.2 | | | | 1.00 |
| 未婚 | 5 296(36.1) | 1 092 | 20.6 | | | 0.478 | 0.959(0.856,1.076) |
| 离异或丧偶 | 2 315(15.8) | 854 | 36.9 | | | 0.331 | 1.051(0.950,1.164) |
| 不详 | 87(0.5) | 32 | 36.8 | | | 0.692 | 1.097(0.694,1.735) |
| 文化程度 | | | | 198.872 | <0.001 | | |
| 大专及以上 | 3 817(26.0) | 893 | 23.4 | | | | 1.00 |
| 高中或中专 | 3 307(22.5) | 922 | 27.9 | | | 0.529 | 0.964(0.859,1.081) |
| 初中 | 5 567(37.9) | 1 825 | 32.8 | | | 0.747 | 0.982(0.879,1.097) |
| 小学及以下 | 1 998(13.6) | 797 | 39.9 | | | 0.403 | 1.062(0.922,1.224) |
| 性病史 | | | | 4.121 | 0.127 | | |
| 无 | 11 374(77.4) | 3 392 | 29.8 | | | | |
| 有 | 1 447(9.9) | 446 | 30.8 | | | | |
| 不详 | 1 868(12.7) | 599 | 32.1 | | | | |
| 感染途径 | | | | 102.604 | <0.001 | | |
| 注射毒品 | 97(0.7) | 20 | 20.6 | | | | 1.00 |
| 同性传播 | 9 620(65.5) | 2 686 | 27.9 | | | 0.833 | 1.06(0.617,1.821) |
| 异性传播 | | | | | | | |
| 配偶阳性 | 616(4.2) | 170 | 27.6 | | | 0.561 | 0.844(0.476,1.495) |
| 商业性行为 | 1 422(9.7) | 509 | 35.8 | | | 0.737 | 1.099(0.634,1.904) |
| 非婚非商业 | 2 573(17.5) | 924 | 35.9 | | | 0.712 | 1.108(0.643,1.91) |
| 非婚未分类 | 84(0.6) | 20 | 23.8 | | | 0.245 | 0.642(0.305,1.355) |
| 不详/其他 | 277(1.8) | 108 | 39.0 | | | 0.370 | 1.314(0.724,0.384) |
| 样本来源 | | | | 468.362 | <0.001 | | |
| 羁押人群 | 193(1.3) | 27 | 14.0 | | | | 1.00 |
| 检测咨询 | 5 590(38.1) | 1 308 | 23.4 | | | 0.004 | 1.909(1.236,2.949) |
| 重点人群 | 975(6.6) | 168 | 17.2 | | | 0.348 | 1.249(0.785,1.987) |
| 医疗机构 | 7 201(49.0) | 2 763 | 38.4 | | | <0.001 | 3.205(2.080,4.938) |
| 其他 | 730(5.0) | 171 | 23.4 | | | 0.012 | 1.808(1.136,2.875) |
| 诊断年龄(岁) | | | | 724.797 | <0.001 | | |
| 0~19 | 592(4.0) | 61 | 10.3 | | | | 1.00 |
| 20~29 | 4 114(28.0) | 767 | 18.6 | | | <0.001 | 1.945(1.469,2.577) |
| 30~39 | 3 503(23.8) | 1 021 | 29.1 | | | <0.001 | 3.279(2.458,4.375) |
| 40~49 | 2 834(19.3) | 992 | 35.0 | | | <0.001 | 3.996(2.970,5.377) |
| 50~59 | 2 356(16.0) | 1 015 | 43.1 | | | <0.001 | 5.223(3.870,7.05) |
| ≥60 | 1 290(8.9) | 581 | 45.0 | | | <0.001 | 5.202(3.814,7.095) |
), ArticleFig(id=1241771824736965463, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771812929999159, language=CN, label=表3, caption=
不同特征HIV/AIDS晚发现比例分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 报告数[n(%)] | 晚发现 | 单因素分析 | 多因素分析 |
|---|
| 例数 | 占比(%) | χ2 | P | P | OR(95%CI) |
|---|
| 性别 | | | | 0.065 | 0.799 | | |
| 女 | 1 361(9.3) | 407 | 29.9 | | | | |
| 男 | 13 328(90.7) | 4 030 | 30.2 | | | | |
| 职业 | | | | 201.496 | <0.001 | | |
| 家政、家务及待业 | 1 932(13.2) | 535 | 27.7 | | | | 1.00 |
| 农民 | 5 694(38.8) | 2 080 | 36.5 | | | 0.021 | 1.154(1.021,1.303) |
| 工人 | 1 139(7.8) | 346 | 30.4 | | | 0.929 | 0.992(0.840,1.173) |
| 其他 | 5 924(40.2) | 1 476 | 24.9 | | | 0.207 | 0.925(0.820,1.044) |
| 婚姻状况 | | | | 363.549 | <0.001 | | |
| 已婚有配偶 | 6 991(47.6) | 2 459 | 35.2 | | | | 1.00 |
| 未婚 | 5 296(36.1) | 1 092 | 20.6 | | | 0.478 | 0.959(0.856,1.076) |
| 离异或丧偶 | 2 315(15.8) | 854 | 36.9 | | | 0.331 | 1.051(0.950,1.164) |
| 不详 | 87(0.5) | 32 | 36.8 | | | 0.692 | 1.097(0.694,1.735) |
| 文化程度 | | | | 198.872 | <0.001 | | |
| 大专及以上 | 3 817(26.0) | 893 | 23.4 | | | | 1.00 |
| 高中或中专 | 3 307(22.5) | 922 | 27.9 | | | 0.529 | 0.964(0.859,1.081) |
| 初中 | 5 567(37.9) | 1 825 | 32.8 | | | 0.747 | 0.982(0.879,1.097) |
| 小学及以下 | 1 998(13.6) | 797 | 39.9 | | | 0.403 | 1.062(0.922,1.224) |
| 性病史 | | | | 4.121 | 0.127 | | |
| 无 | 11 374(77.4) | 3 392 | 29.8 | | | | |
| 有 | 1 447(9.9) | 446 | 30.8 | | | | |
| 不详 | 1 868(12.7) | 599 | 32.1 | | | | |
| 感染途径 | | | | 102.604 | <0.001 | | |
| 注射毒品 | 97(0.7) | 20 | 20.6 | | | | 1.00 |
| 同性传播 | 9 620(65.5) | 2 686 | 27.9 | | | 0.833 | 1.06(0.617,1.821) |
| 异性传播 | | | | | | | |
| 配偶阳性 | 616(4.2) | 170 | 27.6 | | | 0.561 | 0.844(0.476,1.495) |
| 商业性行为 | 1 422(9.7) | 509 | 35.8 | | | 0.737 | 1.099(0.634,1.904) |
| 非婚非商业 | 2 573(17.5) | 924 | 35.9 | | | 0.712 | 1.108(0.643,1.91) |
| 非婚未分类 | 84(0.6) | 20 | 23.8 | | | 0.245 | 0.642(0.305,1.355) |
| 不详/其他 | 277(1.8) | 108 | 39.0 | | | 0.370 | 1.314(0.724,0.384) |
| 样本来源 | | | | 468.362 | <0.001 | | |
| 羁押人群 | 193(1.3) | 27 | 14.0 | | | | 1.00 |
| 检测咨询 | 5 590(38.1) | 1 308 | 23.4 | | | 0.004 | 1.909(1.236,2.949) |
| 重点人群 | 975(6.6) | 168 | 17.2 | | | 0.348 | 1.249(0.785,1.987) |
| 医疗机构 | 7 201(49.0) | 2 763 | 38.4 | | | <0.001 | 3.205(2.080,4.938) |
| 其他 | 730(5.0) | 171 | 23.4 | | | 0.012 | 1.808(1.136,2.875) |
| 诊断年龄(岁) | | | | 724.797 | <0.001 | | |
| 0~19 | 592(4.0) | 61 | 10.3 | | | | 1.00 |
| 20~29 | 4 114(28.0) | 767 | 18.6 | | | <0.001 | 1.945(1.469,2.577) |
| 30~39 | 3 503(23.8) | 1 021 | 29.1 | | | <0.001 | 3.279(2.458,4.375) |
| 40~49 | 2 834(19.3) | 992 | 35.0 | | | <0.001 | 3.996(2.970,5.377) |
| 50~59 | 2 356(16.0) | 1 015 | 43.1 | | | <0.001 | 5.223(3.870,7.05) |
| ≥60 | 1 290(8.9) | 581 | 45.0 | | | <0.001 | 5.202(3.814,7.095) |
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