Article(id=1241023855595155847, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241023847537897695, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202404441, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1713974400000, receivedDateStr=2024-04-25, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773812744281, onlineDateStr=2026-03-18, pubDate=1737734400000, pubDateStr=2025-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773812744281, onlineIssueDateStr=2026-03-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773812744281, creator=13701087609, updateTime=1773812744281, updator=13701087609, issue=Issue{id=1241023847537897695, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='2', pageStart='193', pageEnd='384', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773812742361, creator=13701087609, updateTime=1773812823817, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241024189247845056, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241023847537897695, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241024189247845057, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241023847537897695, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=303, endPage=309, ext={EN=ArticleExt(id=1241023856152998310, articleId=1241023855595155847, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Analysis of current situation and influencing factors of Cancer screening service utilization and demand of Sichuan residents, columnId=1228016567846367388, journalTitle=Modern Preventive Medicine, columnName=Health Policy and Management, runingTitle=null, highlight=null, articleAbstract=
Objective

To understand the utilization and demand status of cancer screening services among residents in Sichuan Province, and provide scientific basis for further promoting cancer screening strategies.

Methods

Using multi-stage stratified clustering and probability proportional to size (PPS) sampling, a face-to-face questionnaire survey was conducted among 15-74-year-old permanent residents from 10 cities (prefectures) in Sichuan Province. Using chi-square test for univariate analysis of cancer screening service utilization and demand, and using logistic regression model for multivariate analysis.

Results

A total of 7 442 valid questionnaires were collected, with an effective rate of 91.30%. 1 099 residents (14.77%) had undergone cancer screening, aged between 40 and 60 years old (OR=1.62, 95%CI:1.31-2.00), female (OR=1.92, 95%CI:1.65-2.25), married, with a college/undergraduate education or above, civil servants and public institution staff (OR=1.59, 95%CI:1.20-2.09), with a family history of cancer, urban household registration (OR=1.46,95%CI:1.23-1.74), poor self-rated health status, and higher utilization rate of cancer screening services for urban employees with basic medical insurance.5034 residents (67.64%) had a demand for cancer screening services. Married individuals with higher education levels, total household income ≥ 60000 yuan/year (OR=1.20,95%CI:1.07-1.35), family history of cancer, and poor self-rated health status had a higher demand for cancer screening services.

Conclusion

There is a high demand for cancer screening services among residents in Sichuan Province, but the actual utilization is insufficient. It is recommended to improve and promote cancer screening work by strengthening health education and establishing a multi-channel funding mechanism for cancer screening.

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目的

了解四川省居民癌症筛查服务利用及需求现状,为推广癌症筛查策略提供科学依据。

方法

运用多阶段分层整群及概率比例规模抽样(probabilities proportional to size,PPS),选取来自四川省10个市(州)的15~74岁常住居民进行面对面问卷调查。采用χ2检验进行癌症筛查服务利用与需求的单因素分析,采用二元logistic模型进行多因素分析。

结果

共回收有效问卷7 442份,问卷有效率为91.30%。1 099名(14.77%)居民做过癌症筛查,年龄为40~<60岁(OR=1.62,95%CI:1.31~2.00)、女性(OR=1.92,95%CI:1.65~2.25)、已婚、文化程度为大专/本科及以上、公务员及事业单位工作人员(OR=1.59,95%CI:1.20~2.09)、有患癌家族史、城镇户口(OR=1.46,95%CI:1.23~1.74)、自评健康状况较差、城镇职工基本医疗保险的癌症筛查服务利用率更高。5 034名(67.64%)居民有癌症筛查服务需求,已婚、文化程度越高者、家庭总收≥6万元/年(OR=1.20,95%CI:1.07~1.35)、有患癌家族史、自评健康状况较差的癌症筛查服务需求率更高。

结论

四川省居民癌症筛查服务呈现出需求较高但实际利用不足的问题,建议通过加强健康教育和建立多渠道的癌症筛查筹资机制完善和推广癌症筛查工作。

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乔良,E-mail:
, copyrightStatement=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=lso9zOsxfAOy/BM63FKdwQ==, magXml=jJVgGf+HZnYVr4V5SeXjvQ==, pdfUrl=null, pdf=FoW/cvUUVgfc7v3RqIJr7w==, pdfFileSize=726371, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=dU8dvjBv86vo4yMPz6VZ6A==, mapNumber=null, authorCompany=null, fund=null, authors=

钟志刚(1995—),男,硕士,助理研究员,研究方向:肿瘤预防与控制

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钟志刚(1995—),男,硕士,助理研究员,研究方向:肿瘤预防与控制

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Influence factors of health literacy monitoring of Chinese residents on 2012[J]. Chinese Journal of Health Education, 2015, (2): 104-107. (In Chinese), articleTitle=Influence factors of health literacy monitoring of Chinese residents on 2012, refAbstract=null), Reference(id=1241023872967962925, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, doi=null, pmid=null, pmcid=null, year=2022, volume=49, issue=15, pageStart=2839, pageEnd=2844, url=null, language=null, rfNumber=[15], rfOrder=24, authorNames=钟志刚, 乔良, 马婧, journalName=现代预防医学, refType=null, unstructuredReference=钟志刚,乔良,马婧,等.四川省居民癌症防治核心知识知晓率现状及影响因素分析[J].现代预防医学2022, 49(15): 2839-2844., articleTitle=四川省居民癌症防治核心知识知晓率现状及影响因素分析, refAbstract=null), Reference(id=1241023873056043316, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, doi=null, pmid=null, pmcid=null, year=2022, volume=49, issue=15, pageStart=2839, pageEnd=2844, url=null, language=null, rfNumber=[15], rfOrder=25, authorNames=Zhong ZG, Qiao L, Ma J, journalName=Modern Preventive Medicine, refType=null, unstructuredReference=Zhong ZG, Qiao L, Ma J, et al. Current situation and influencing factors of residents’ awareness of core knowledge of cancer prevention and control in Sichuan[J]. Modern Preventive Medicine, 2022, 49(15): 2839-2844. (In Chinese), articleTitle=Current situation and influencing factors of residents’ awareness of core knowledge of cancer prevention and control in Sichuan, refAbstract=null), Reference(id=1241023873139929397, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, doi=null, pmid=null, pmcid=null, year=2001, volume=16, issue=2, pageStart=157, pageEnd=172, url=null, language=null, rfNumber=[16], rfOrder=26, authorNames=Bosompra K, Ashikaga T, Flynn BS, journalName=Health Education Research, refType=null, unstructuredReference=Bosompra K, Ashikaga T, Flynn BS, et al. Psychosocial factors associated with the public’s willingness to pay for genetic testing for cancer risk: a structural equations model[J]. Health Education Research, 2001, 16(2): 157-172., articleTitle=Psychosocial factors associated with the public’s willingness to pay for genetic testing for cancer risk: a structural equations model, refAbstract=null)], funds=[Fund(id=1241023868232593523, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, awardId=2023YFG0148, language=CN, fundingSource=四川省科技厅重点研发项目(2023YFG0148), fundOrder=null, country=null), Fund(id=1241023868383588476, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, awardId=S22004, language=CN, fundingSource=四川省医学科研课题计划(S22004), fundOrder=null, country=null), Fund(id=1241023868559749253, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, awardId=2022NSFSC0640, language=CN, fundingSource=四川省自然科学基金(2022NSFSC0640), fundOrder=null, country=null), Fund(id=1241023868719132817, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, awardId=2022-YF05-02005-SN, language=CN, fundingSource=成都市科技局技术创新研发项目(2022-YF05-02005-SN), fundOrder=null, country=null), Fund(id=1241023868811407513, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, awardId=2023JDKP0034, language=CN, fundingSource=四川省科普培训项目(2023JDKP0034), fundOrder=null, country=null), Fund(id=1241023868945625248, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, awardId=SWFZ24-Y-54, language=CN, fundingSource=川北医学院2024年度四川省基层卫生事业发展研究中心资助项目(SWFZ24-Y-54), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241023859135148584, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, xref=1., ext=[AuthorCompanyExt(id=1241023859164508716, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, companyId=1241023859135148584, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Sichuan Cancer Hospital&Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Clinical Research Center for Cancer, Office of Sichuan Cancer Prevention and Control Center (Prevention Department), Chengdu, Sichuan 610041, China), AuthorCompanyExt(id=1241023859181285934, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, companyId=1241023859135148584, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.四川省肿瘤医院·研究所,四川省癌症防治中心,电子科技大学附属肿瘤医院,四川省肿瘤临床医学研究中心,四川省癌症防治中心办公室(预防部),四川 成都 610041)]), AuthorCompany(id=1241023859315503674, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, xref=2., ext=[AuthorCompanyExt(id=1241023859323892284, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, companyId=1241023859315503674, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.四川省妇幼保健院,组织人事部)]), AuthorCompany(id=1241023859462304330, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, xref=3., ext=[AuthorCompanyExt(id=1241023859470692939, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, companyId=1241023859462304330, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3.四川省肿瘤医院·研究所,四川省癌症防治中心,电子科技大学附属肿瘤医院,四川省肿瘤临床医学研究中心,组织人事处)])], figs=[ArticleFig(id=1241023865434992663, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=EN, label=Table 1, caption=

Basic information of survey subjects

, figureFileSmall=null, figureFileBig=null, tableContent=
变量人数构成比
(%)
年龄(岁)
15~<401 32617.82
40~<603 82051.33
≥602 29630.85
性别
男性2 79637.57
女性4 64662.43
民族
汉族6 58988.54
非汉族85311.46
婚姻状况
已婚6 31484.84
未婚/分居/离婚/丧偶1 12815.16
文化程度
小学及以下2 99140.19
初中2 07327.86
高中/中专97713.13
大专/本科及以上1 40118.83
职业
农村劳动者4 27657.46
专业技术人员4445.97
公务员及事业单位工作人员1 03313.88
厂矿企业工作人员2152.89
商业零售或服务人员3815.12
未就业4476.01
离退休人员3735.01
其他2733.67
家庭总收入(万元/年)
<64 31057.91
≥63 13242.09
患癌家族史
1 40218.84
5 57374.89
不清楚4676.28
户口类型
农村4 95966.64
城镇2 48333.36
自评健康状况
1 51920.41
比较好2 49633.54
一般2 81837.87
比较差5026.75
1071.44
医疗保险
城镇职工基本医疗保险1 87325.17
城镇居民医疗保险3 43146.10
新型农村合作医疗保险2 13828.73
合计7 442100.00
), ArticleFig(id=1241023865518878751, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=CN, label=表1, caption=

调查对象基本情况

, figureFileSmall=null, figureFileBig=null, tableContent=
变量人数构成比
(%)
年龄(岁)
15~<401 32617.82
40~<603 82051.33
≥602 29630.85
性别
男性2 79637.57
女性4 64662.43
民族
汉族6 58988.54
非汉族85311.46
婚姻状况
已婚6 31484.84
未婚/分居/离婚/丧偶1 12815.16
文化程度
小学及以下2 99140.19
初中2 07327.86
高中/中专97713.13
大专/本科及以上1 40118.83
职业
农村劳动者4 27657.46
专业技术人员4445.97
公务员及事业单位工作人员1 03313.88
厂矿企业工作人员2152.89
商业零售或服务人员3815.12
未就业4476.01
离退休人员3735.01
其他2733.67
家庭总收入(万元/年)
<64 31057.91
≥63 13242.09
患癌家族史
1 40218.84
5 57374.89
不清楚4676.28
户口类型
农村4 95966.64
城镇2 48333.36
自评健康状况
1 51920.41
比较好2 49633.54
一般2 81837.87
比较差5026.75
1071.44
医疗保险
城镇职工基本医疗保险1 87325.17
城镇居民医疗保险3 43146.10
新型农村合作医疗保险2 13828.73
合计7 442100.00
), ArticleFig(id=1241023865636319272, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=EN, label=Table 2, caption=

Utilization of Cancer Screening Services among Residents in Sichuan Province[n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量做过癌症筛查
n=1 099)
未做过癌症筛查
n=5 875)
不确定
n=468)
χ2P
年龄(岁)149.902<0.001
15~<40237(17.87)981(73.98)108(8.14)
40~<60679(17.77)2 890(75.65)251(6.57)
≥60183(7.97)2 004(87.28)109(4.75)
性别82.450<0.001
男性284(10.16)2 353(84.16)159(5.69)
女性815(17.54)3 522(75.81)309(6.65)
民族122.064<0.001
汉族995(15.10)5 253(79.72)341(5.18)
非汉族104(12.19)622(72.92)127(14.89)
婚姻状况5.8580.053
已婚956(15.14)4 971(78.73)387(6.13)
未婚/分居/离婚/丧偶143(12.68)904(80.14)81(7.18)
文化程度266.628<0.001
小学及以下292(9.76)2 534(84.72)165(5.52)
初中267(12.88)1 687(81.38)119(5.74)
高中/中专167(17.09)753(77.07)57(5.83)
大专/本科及以上373(26.62)901(64.31)127(9.06)
职业305.618<0.001
农村劳动者440(10.29)3 615(84.54)221(5.17)
专业技术人员85(19.14)322(72.52)37(8.33)
公务员及事业单位工作人员303(29.33)651(63.02)79(7.65)
厂矿企业工作人员41(19.07)161(74.88)13(6.05)
商业零售或服务人员56(14.70)299(78.48)26(6.82)
未就业66(14.77)352(78.75)29(6.49)
离退休人员64(17.16)265(71.05)44(11.80)
其他44(16.12)210(76.92)19(6.96)
家庭总收入(万元/年)67.251<0.001
<6521(12.09)3 540(82.13)249(5.78)
≥6578(18.45)2 335(74.55)219(6.99)
患癌家族史69.801<0.001
299(21.33)1 006(71.75)97(6.92)
738(13.24)4 506(80.85)329(5.90)
不清楚62(13.28)363(77.73)42(8.99)
户口类型207.430<0.001
农村535(10.79)4 142(83.52)282(5.69)
城镇564(22.71)1 733(69.79)186(7.49)
自评健康状况17.5740.025
203(13.36)1 231(81.04)85(5.60)
比较好387(15.50)1 930(77.32)179(7.17)
一般402(14.27)2 239(79.45)177(6.28)
比较差92(18.33)389(77.49)21(4.18)
15(14.02)86(80.37)6(5.61)
医疗保险277.033<0.001
城镇职工基本医疗保险479(25.57)1 239(66.15)155(8.28)
城镇居民医疗保险422(12.30)2 831(82.51)178(5.19)
新型农村合作医疗保险198(9.26)1 805(84.42)135(6.31)
), ArticleFig(id=1241023865762148400, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=CN, label=表2, caption=

四川省居民癌症筛查服务利用情况[n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量做过癌症筛查
n=1 099)
未做过癌症筛查
n=5 875)
不确定
n=468)
χ2P
年龄(岁)149.902<0.001
15~<40237(17.87)981(73.98)108(8.14)
40~<60679(17.77)2 890(75.65)251(6.57)
≥60183(7.97)2 004(87.28)109(4.75)
性别82.450<0.001
男性284(10.16)2 353(84.16)159(5.69)
女性815(17.54)3 522(75.81)309(6.65)
民族122.064<0.001
汉族995(15.10)5 253(79.72)341(5.18)
非汉族104(12.19)622(72.92)127(14.89)
婚姻状况5.8580.053
已婚956(15.14)4 971(78.73)387(6.13)
未婚/分居/离婚/丧偶143(12.68)904(80.14)81(7.18)
文化程度266.628<0.001
小学及以下292(9.76)2 534(84.72)165(5.52)
初中267(12.88)1 687(81.38)119(5.74)
高中/中专167(17.09)753(77.07)57(5.83)
大专/本科及以上373(26.62)901(64.31)127(9.06)
职业305.618<0.001
农村劳动者440(10.29)3 615(84.54)221(5.17)
专业技术人员85(19.14)322(72.52)37(8.33)
公务员及事业单位工作人员303(29.33)651(63.02)79(7.65)
厂矿企业工作人员41(19.07)161(74.88)13(6.05)
商业零售或服务人员56(14.70)299(78.48)26(6.82)
未就业66(14.77)352(78.75)29(6.49)
离退休人员64(17.16)265(71.05)44(11.80)
其他44(16.12)210(76.92)19(6.96)
家庭总收入(万元/年)67.251<0.001
<6521(12.09)3 540(82.13)249(5.78)
≥6578(18.45)2 335(74.55)219(6.99)
患癌家族史69.801<0.001
299(21.33)1 006(71.75)97(6.92)
738(13.24)4 506(80.85)329(5.90)
不清楚62(13.28)363(77.73)42(8.99)
户口类型207.430<0.001
农村535(10.79)4 142(83.52)282(5.69)
城镇564(22.71)1 733(69.79)186(7.49)
自评健康状况17.5740.025
203(13.36)1 231(81.04)85(5.60)
比较好387(15.50)1 930(77.32)179(7.17)
一般402(14.27)2 239(79.45)177(6.28)
比较差92(18.33)389(77.49)21(4.18)
15(14.02)86(80.37)6(5.61)
医疗保险277.033<0.001
城镇职工基本医疗保险479(25.57)1 239(66.15)155(8.28)
城镇居民医疗保险422(12.30)2 831(82.51)178(5.19)
新型农村合作医疗保险198(9.26)1 805(84.42)135(6.31)
), ArticleFig(id=1241023865887977529, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=EN, label=Table 3, caption=

Multivariate logistic regression analysis affecting the utilization of cancer screening services

, figureFileSmall=null, figureFileBig=null, tableContent=
变量β Wald χ2POR值(95% CI
年龄(岁)
15~<401.00
40~<600.480.1119.970<0.0011.62(1.31~2.00)
≥60-0.190.141.8090.1790.83(0.63~1.09)
性别
男性1.00
女性0.650.0868.995<0.0011.92(1.65~2.25)
婚姻状况
已婚1.00
未婚/分居/离婚/丧偶-0.240.105.1240.02400.79(0.64~0.97)
文化程度
小学及以下1.00
初中0.170.103.1320.0771.19(0.98~1.44)
高中/中专0.240.133.2450.0721.27(0.98~1.64)
大专/本科及以上0.640.1617.035<0.0011.90(1.40~2.57)
职业
农村劳动者1.00
专业技术人员-0.140.170.6440.4220.87(0.62~1.22)
公务员及事业单位工作人员0.460.1410.7710.0011.59(1.20~2.09)
厂矿企业工作人员0.380.203.7080.0541.47(0.99~2.17)
商业零售或服务人员-0.020.170.0150.9040.98(0.71~1.36)
未就业0.070.160.1840.6681.07(0.79~1.45)
离退休人员0.040.180.0400.8421.04(0.73~1.47)
其他0.040.190.0460.8301.04(0.71~1.52)
患癌家族史
1.00
-0.360.0819.269<0.0010.70(0.59~0.82)
不清楚-0.410.166.3980.0110.67(0.49~0.91)
户口类型
农村1.00
城镇0.380.0918.438<0.0011.46(1.23~1.74)
自评健康状况
1.00
比较好0.240.105.6130.0181.26(1.04~1.54)
一般0.260.106.5850.0101.29(1.06~1.57)
比较差0.750.1525.308<0.0012.12(1.58~2.85)
0.640.304.4560.0351.89(1.05~3.41)
医疗保险
城镇职工基本医疗保险1.00
城镇居民医疗保险-0.320.118.9470.0030.72(0.59~0.90)
新型农村合作医疗保险-0.580.1320.718<0.0010.56(0.44~0.72)
常量-2.460.21143.661<0.0010.09
), ArticleFig(id=1241023866051555396, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=CN, label=表3, caption=

影响癌症筛查服务利用的多因素logistic回归分析

, figureFileSmall=null, figureFileBig=null, tableContent=
变量β Wald χ2POR值(95% CI
年龄(岁)
15~<401.00
40~<600.480.1119.970<0.0011.62(1.31~2.00)
≥60-0.190.141.8090.1790.83(0.63~1.09)
性别
男性1.00
女性0.650.0868.995<0.0011.92(1.65~2.25)
婚姻状况
已婚1.00
未婚/分居/离婚/丧偶-0.240.105.1240.02400.79(0.64~0.97)
文化程度
小学及以下1.00
初中0.170.103.1320.0771.19(0.98~1.44)
高中/中专0.240.133.2450.0721.27(0.98~1.64)
大专/本科及以上0.640.1617.035<0.0011.90(1.40~2.57)
职业
农村劳动者1.00
专业技术人员-0.140.170.6440.4220.87(0.62~1.22)
公务员及事业单位工作人员0.460.1410.7710.0011.59(1.20~2.09)
厂矿企业工作人员0.380.203.7080.0541.47(0.99~2.17)
商业零售或服务人员-0.020.170.0150.9040.98(0.71~1.36)
未就业0.070.160.1840.6681.07(0.79~1.45)
离退休人员0.040.180.0400.8421.04(0.73~1.47)
其他0.040.190.0460.8301.04(0.71~1.52)
患癌家族史
1.00
-0.360.0819.269<0.0010.70(0.59~0.82)
不清楚-0.410.166.3980.0110.67(0.49~0.91)
户口类型
农村1.00
城镇0.380.0918.438<0.0011.46(1.23~1.74)
自评健康状况
1.00
比较好0.240.105.6130.0181.26(1.04~1.54)
一般0.260.106.5850.0101.29(1.06~1.57)
比较差0.750.1525.308<0.0012.12(1.58~2.85)
0.640.304.4560.0351.89(1.05~3.41)
医疗保险
城镇职工基本医疗保险1.00
城镇居民医疗保险-0.320.118.9470.0030.72(0.59~0.90)
新型农村合作医疗保险-0.580.1320.718<0.0010.56(0.44~0.72)
常量-2.460.21143.661<0.0010.09
), ArticleFig(id=1241023867595059275, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=EN, label=Table 4, caption=

Demand for Cancer Screening Services among Residents in Sichuan Province [n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量有需求(n=5 034)没有需求(n=1 897)不清楚(n=511)χ2P
年龄(岁)51.363<0.001
15~<40965(72.78)290(21.87)71(5.35)
40~<602 640(69.11)920(24.08)260(6.81)
≥601 429(62.24)687(29.92)180(7.84)
性别9.1020.011
男性1 868(66.81)758(27.11)170(6.08)
女性3 166(68.14)1 139(24.52)341(7.34)
民族6.8130.033
汉族4 481(68.01)1 649(25.03)459(6.97)
非汉族553(64.83)248(29.07)52(6.10)
婚姻状况4.9230.085
已婚4 303(68.15)1 583(25.07)428(6.78)
未婚/分居/离婚/丧偶731(64.80)314(27.84)83(7.36)
文化程度123.649<0.001
小学及以下1 879(62.82)875(29.25)237(7.92)
初中1 365(65.85)560(27.01)148(7.14)
高中/中专679(69.50)237(24.26)61(6.24)
大专/本科及以上1 111(79.30)225(16.06)65(4.64)
职业132.319<0.001
农村劳动者2 703(63.21)1 232(28.81)341(7.97)
专业技术人员345(77.7)74(16.67)25(5.63)
公务员及事业单位工作人员823(79.67)172(16.65)38(3.68)
厂矿企业工作人员151(70.23)50(23.26)14(6.51)
商业零售或服务人员268(70.34)91(23.88)22(5.77)
未就业304(68.01)116(25.95)27(6.04)
离退休人员257(68.90)89(23.86)27(7.24)
其他183(67.03)73(26.74)17(6.23)
家庭总收入(万元/年)48.983<0.001
<62 776(64.41)1 210(28.07)324(7.52)
≥62 258(72.09)687(21.93)187(5.97)
患癌家族史34.497<0.001
1 029(73.40)284(20.26)89(6.35)
3 700(66.39)1 497(26.86)376(6.75)
不清楚305(65.31)116(24.84)46(9.85)
户口类型28.783<0.001
农村3 257(65.68)1 356(27.34)346(6.98)
城镇1 777(71.57)541(21.79)165(6.65)
自评健康状况35.749<0.001
952(62.67)430(28.31)137(9.02)
比较好1 687(67.59)660(26.44)149(5.97)
一般1 985(70.44)647(22.96)186(6.60)
比较差337(67.13)134(26.69)31(6.18)
73(68.22)26(24.30)8(7.48)
医疗保险77.438<0.001
城镇职工基本医疗保险1 411(75.33)364(19.43)98(5.23)
城镇居民医疗保险2 208(64.35)987(28.77)236(6.88)
新型农村合作医疗保险1 415(66.18)546(25.54)177(8.28)
), ArticleFig(id=1241023867720888403, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=CN, label=表4, caption=

四川省居民癌症筛查服务需求情况[n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量有需求(n=5 034)没有需求(n=1 897)不清楚(n=511)χ2P
年龄(岁)51.363<0.001
15~<40965(72.78)290(21.87)71(5.35)
40~<602 640(69.11)920(24.08)260(6.81)
≥601 429(62.24)687(29.92)180(7.84)
性别9.1020.011
男性1 868(66.81)758(27.11)170(6.08)
女性3 166(68.14)1 139(24.52)341(7.34)
民族6.8130.033
汉族4 481(68.01)1 649(25.03)459(6.97)
非汉族553(64.83)248(29.07)52(6.10)
婚姻状况4.9230.085
已婚4 303(68.15)1 583(25.07)428(6.78)
未婚/分居/离婚/丧偶731(64.80)314(27.84)83(7.36)
文化程度123.649<0.001
小学及以下1 879(62.82)875(29.25)237(7.92)
初中1 365(65.85)560(27.01)148(7.14)
高中/中专679(69.50)237(24.26)61(6.24)
大专/本科及以上1 111(79.30)225(16.06)65(4.64)
职业132.319<0.001
农村劳动者2 703(63.21)1 232(28.81)341(7.97)
专业技术人员345(77.7)74(16.67)25(5.63)
公务员及事业单位工作人员823(79.67)172(16.65)38(3.68)
厂矿企业工作人员151(70.23)50(23.26)14(6.51)
商业零售或服务人员268(70.34)91(23.88)22(5.77)
未就业304(68.01)116(25.95)27(6.04)
离退休人员257(68.90)89(23.86)27(7.24)
其他183(67.03)73(26.74)17(6.23)
家庭总收入(万元/年)48.983<0.001
<62 776(64.41)1 210(28.07)324(7.52)
≥62 258(72.09)687(21.93)187(5.97)
患癌家族史34.497<0.001
1 029(73.40)284(20.26)89(6.35)
3 700(66.39)1 497(26.86)376(6.75)
不清楚305(65.31)116(24.84)46(9.85)
户口类型28.783<0.001
农村3 257(65.68)1 356(27.34)346(6.98)
城镇1 777(71.57)541(21.79)165(6.65)
自评健康状况35.749<0.001
952(62.67)430(28.31)137(9.02)
比较好1 687(67.59)660(26.44)149(5.97)
一般1 985(70.44)647(22.96)186(6.60)
比较差337(67.13)134(26.69)31(6.18)
73(68.22)26(24.30)8(7.48)
医疗保险77.438<0.001
城镇职工基本医疗保险1 411(75.33)364(19.43)98(5.23)
城镇居民医疗保险2 208(64.35)987(28.77)236(6.88)
新型农村合作医疗保险1 415(66.18)546(25.54)177(8.28)
), ArticleFig(id=1241023867850911834, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=EN, label=Table 5, caption=

Multivariate logistic regression analysis on the demand for cancer screening services

, figureFileSmall=null, figureFileBig=null, tableContent=
变量β Wald χ2POR值(95% CI
年龄(岁)
18~<401.00
40~<600.1510.0922.7080.1001.16(0.97~1.39)
≥60-0.0470.1030.2060.6500.95(0.78~1.17)
婚姻状况
已婚1.00
未婚/分居/离婚/丧偶-0.2000.0776.7160.0100.82(0.70~0.95)
文化程度
小学及以下1.00
初中0.0690.0681.0180.3131.07(0.94~1.23)
高中/中专0.2160.0965.0830.0241.24(1.03~1.50)
大专/本科及以上0.7660.12239.546<0.0012.15(1.69~2.73)
家庭总收入(万元/年)
<61.00
≥60.1830.0609.2320.0021.20(1.07~1.35)
患癌家族史
1.00
-0.2800.07513.825<0.0010.76(0.65~0.88)
不清楚-0.3100.1305.6750.0170.73(0.57~0.95)
自评健康状况
1.00
比较好0.2150.0768.0280.0051.24(1.07~1.44)
一般0.4680.07737.181<0.0011.60(1.37~1.86)
比较差0.3640.1228.9320.0031.44(1.13~1.83)
0.5220.2394.7620.0291.69(1.06~2.69)
医疗保险
城镇职工基本医疗保险1.00
城镇居民医疗保险-0.1280.0872.1800.1400.88(0.74~1.04)
新型农村合作医疗保险0.0250.0940.0690.7931.03(0.85~1.23)
常量0.7070.15919.797<0.0012.03
), ArticleFig(id=1241023868043849825, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023855595155847, language=CN, label=表5, caption=

影响癌症筛查服务需求的多因素logistic回归分析

, figureFileSmall=null, figureFileBig=null, tableContent=
变量β Wald χ2POR值(95% CI
年龄(岁)
18~<401.00
40~<600.1510.0922.7080.1001.16(0.97~1.39)
≥60-0.0470.1030.2060.6500.95(0.78~1.17)
婚姻状况
已婚1.00
未婚/分居/离婚/丧偶-0.2000.0776.7160.0100.82(0.70~0.95)
文化程度
小学及以下1.00
初中0.0690.0681.0180.3131.07(0.94~1.23)
高中/中专0.2160.0965.0830.0241.24(1.03~1.50)
大专/本科及以上0.7660.12239.546<0.0012.15(1.69~2.73)
家庭总收入(万元/年)
<61.00
≥60.1830.0609.2320.0021.20(1.07~1.35)
患癌家族史
1.00
-0.2800.07513.825<0.0010.76(0.65~0.88)
不清楚-0.3100.1305.6750.0170.73(0.57~0.95)
自评健康状况
1.00
比较好0.2150.0768.0280.0051.24(1.07~1.44)
一般0.4680.07737.181<0.0011.60(1.37~1.86)
比较差0.3640.1228.9320.0031.44(1.13~1.83)
0.5220.2394.7620.0291.69(1.06~2.69)
医疗保险
城镇职工基本医疗保险1.00
城镇居民医疗保险-0.1280.0872.1800.1400.88(0.74~1.04)
新型农村合作医疗保险0.0250.0940.0690.7931.03(0.85~1.23)
常量0.7070.15919.797<0.0012.03
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四川省居民癌症筛查服务利用和需求现状及影响因素分析
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钟志刚 1 , 刘潇霞 1 , 蒲星月 2 , 李丽娜 1 , 马婧 1 , 许佳豪 1 , 谢楠 3 , 乔良 1
现代预防医学 | 卫生政策与管理 2025,52(2): 303-309
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现代预防医学 | 卫生政策与管理 2025, 52(2): 303-309
四川省居民癌症筛查服务利用和需求现状及影响因素分析
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钟志刚1, 刘潇霞1, 蒲星月2, 李丽娜1, 马婧1, 许佳豪1, 谢楠3, 乔良1
作者信息
  • 1.四川省肿瘤医院·研究所,四川省癌症防治中心,电子科技大学附属肿瘤医院,四川省肿瘤临床医学研究中心,四川省癌症防治中心办公室(预防部),四川 成都 610041
  • 2.四川省妇幼保健院,组织人事部
  • 3.四川省肿瘤医院·研究所,四川省癌症防治中心,电子科技大学附属肿瘤医院,四川省肿瘤临床医学研究中心,组织人事处
  • 钟志刚(1995—),男,硕士,助理研究员,研究方向:肿瘤预防与控制

通讯作者:

乔良,E-mail:
Analysis of current situation and influencing factors of Cancer screening service utilization and demand of Sichuan residents
Zhi-gang ZHONG1, Xiao-xia LIU1, Xing-yue PU2, Li-na LI1, Jing MA1, Jia-hao XU1, Nan XIE3, Liang QIAO1
Affiliations
  • Sichuan Cancer Hospital&Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Clinical Research Center for Cancer, Office of Sichuan Cancer Prevention and Control Center (Prevention Department), Chengdu, Sichuan 610041, China
出版时间: 2025-01-25 doi: 10.20043/j.cnki.MPM.202404441
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目的

了解四川省居民癌症筛查服务利用及需求现状,为推广癌症筛查策略提供科学依据。

方法

运用多阶段分层整群及概率比例规模抽样(probabilities proportional to size,PPS),选取来自四川省10个市(州)的15~74岁常住居民进行面对面问卷调查。采用χ2检验进行癌症筛查服务利用与需求的单因素分析,采用二元logistic模型进行多因素分析。

结果

共回收有效问卷7 442份,问卷有效率为91.30%。1 099名(14.77%)居民做过癌症筛查,年龄为40~<60岁(OR=1.62,95%CI:1.31~2.00)、女性(OR=1.92,95%CI:1.65~2.25)、已婚、文化程度为大专/本科及以上、公务员及事业单位工作人员(OR=1.59,95%CI:1.20~2.09)、有患癌家族史、城镇户口(OR=1.46,95%CI:1.23~1.74)、自评健康状况较差、城镇职工基本医疗保险的癌症筛查服务利用率更高。5 034名(67.64%)居民有癌症筛查服务需求,已婚、文化程度越高者、家庭总收≥6万元/年(OR=1.20,95%CI:1.07~1.35)、有患癌家族史、自评健康状况较差的癌症筛查服务需求率更高。

结论

四川省居民癌症筛查服务呈现出需求较高但实际利用不足的问题,建议通过加强健康教育和建立多渠道的癌症筛查筹资机制完善和推广癌症筛查工作。

癌症筛查  /  利用  /  需求  /  四川省
Objective

To understand the utilization and demand status of cancer screening services among residents in Sichuan Province, and provide scientific basis for further promoting cancer screening strategies.

Methods

Using multi-stage stratified clustering and probability proportional to size (PPS) sampling, a face-to-face questionnaire survey was conducted among 15-74-year-old permanent residents from 10 cities (prefectures) in Sichuan Province. Using chi-square test for univariate analysis of cancer screening service utilization and demand, and using logistic regression model for multivariate analysis.

Results

A total of 7 442 valid questionnaires were collected, with an effective rate of 91.30%. 1 099 residents (14.77%) had undergone cancer screening, aged between 40 and 60 years old (OR=1.62, 95%CI:1.31-2.00), female (OR=1.92, 95%CI:1.65-2.25), married, with a college/undergraduate education or above, civil servants and public institution staff (OR=1.59, 95%CI:1.20-2.09), with a family history of cancer, urban household registration (OR=1.46,95%CI:1.23-1.74), poor self-rated health status, and higher utilization rate of cancer screening services for urban employees with basic medical insurance.5034 residents (67.64%) had a demand for cancer screening services. Married individuals with higher education levels, total household income ≥ 60000 yuan/year (OR=1.20,95%CI:1.07-1.35), family history of cancer, and poor self-rated health status had a higher demand for cancer screening services.

Conclusion

There is a high demand for cancer screening services among residents in Sichuan Province, but the actual utilization is insufficient. It is recommended to improve and promote cancer screening work by strengthening health education and establishing a multi-channel funding mechanism for cancer screening.

Cancer screening  /  Utilize  /  Requirements  /  Sichuan Province
钟志刚, 刘潇霞, 蒲星月, 李丽娜, 马婧, 许佳豪, 谢楠, 乔良. 四川省居民癌症筛查服务利用和需求现状及影响因素分析. 现代预防医学, 2025 , 52 (2) : 303 -309 . DOI: 10.20043/j.cnki.MPM.202404441
Zhi-gang ZHONG, Xiao-xia LIU, Xing-yue PU, Li-na LI, Jing MA, Jia-hao XU, Nan XIE, Liang QIAO. Analysis of current situation and influencing factors of Cancer screening service utilization and demand of Sichuan residents[J]. Modern Preventive Medicine, 2025 , 52 (2) : 303 -309 . DOI: 10.20043/j.cnki.MPM.202404441
有研究数据显示,2022年中国恶性肿瘤新发病例估计为482.47万,死亡病例估计为257.42万[1],癌症是威胁居民健康的重大疾病。癌症筛查通过实验室检查或者影像诊断等方法,发现早期癌症或者癌前病变患者,经过早期治疗从而预防疾病发生发展、降低疾病造成的伤害,提高患者的生存质量,已被世界各国广泛应用[2-5]。目前,肺部低剂量螺旋薄层CT、乳腺超声与钼靶检查、大肠腔镜检查、上消化道(包括食管和胃)腔镜检查、肝脏B超型超声+血液甲胎蛋白检测、子宫颈人乳头瘤病毒(human papillomavirus,HPV)DNA检测和液基细胞学检查等对肺癌、乳腺癌、大肠癌、上消化道(食管和胃)癌、肝癌和子宫颈癌等筛查均符合经济有效原则[3-6]。本研究旨在了解四川省居民对上述常见癌症筛查服务的利用及需求现状,并进一步探索相关影响因素,为改进癌症筛查策略和推广癌症筛查工作提供参考。
于2021年9—12月,采用多阶段分层整群及概率比例规模抽样(probabilities proportional to size,PPS)模式,按照四川省5大经济区(成都平原经济区、川南经济区、川东北经济区、攀西经济区和川西北生态经济区)包含的市(州)数确定各经济区抽取的市(州)数量,最终选取10个市(州);每个市(州)按城乡进行分层,随机抽取1个城市地区(区)和1个农村地区(县或县级市),共抽取20个县(区);每个县(区)随机抽取2个街道(乡镇),共计40个街道(乡镇);每个街道(乡镇)选择3~4个居委会/村,每个居委会/村随机抽50~70户,每个街道(乡镇)共计抽取200户。采用KISH表法在每个家庭中随机选取1名15~74岁常住居民作为调查对象。最终收集到问卷8 151份,其中有效问卷7 442份,问卷有效率为91.30%。本研究获得四川省肿瘤医院医学伦理委员会批准(伦理编号: SCCHEC-02-2021-082)。
本研究调查问卷在参考国家癌症中心《潜在筛查服务接受方调查表》的基础上,结合四川省实际情况对问卷进行修改调整。调查内容主要包括调查对象基本信息、癌症筛查服务利用、癌症筛查服务需求三个方面。所有调查对象在调查前均填写知情同意书。
为保证数据收集质量,在项目执行过程中实行统一方案、手册与问卷。问卷调查员及质控员由四川省癌症防治中心办公室项目工作组进行统一培训,培训合格后方可开展现场调查工作。调查表完成后需经质控员确认完整无误后方可录入数据库,数据库后台设置质控程序,避免错填、漏填及逻辑错误发生。
采用EpiData 3.1软件进行数据录入,使用SPSS 19.0软件进行统计学分析。采用χ2检验对癌症筛查服务利用与需求的单因素进行分析,采用二元logistic模型进行多因素分析,检验水准α=0.05。
最终纳入调查对象7 442人,其中40~<60岁3 820人(51.33%);女性4 646人(62.43%);汉族居民6 589人(88.54%);婚姻状况为已婚居民6 314人(84.84%);文化程度为小学及以下2 991人(40.19%);农村劳动者4 276人(57.46%);家庭总收入<6万元的居民4 310人(57.91%);无患癌家族史的居民5 573人(74.89%);户口类型为农村的4 959人(66.64%);自评健康状况为一般的2818人(37.87%);医疗保险类型为城镇居民医疗保险的3431人(46.10%), 见表1
调查对象中,5 875人(78.94%)居民未做过癌症筛查,1 099人(14.77%)居民做过癌症筛查,468人(6.29%)居民不确定是否做过癌症筛查。单因素分析结果显示,年龄、性别、民族、文化程度、职业、家庭总收入、患癌家族史、户口类型、自评健康状况和医疗保险对癌症筛查服务利用均有影响(P<0.05),见表2。多因素分析结果显示,年龄为40~<60岁、女性、已婚、文化程度为大专/本科及以上、公务员及事业单位工作人员、有患癌家族史、户口类型为城镇、自评健康状况越差、城镇职工基本医疗保险者,癌症筛查服务利用率更高(P<0.05),见表3
5 034人(67.64%)居民有癌症筛查服务需求,1 897人(25.49%)居民无需求,511人(6.87%)居民不清楚是否有癌症筛查服务需求。单因素分析结果显示,年龄、性别、民族、文化程度、职业、家庭总收入、患癌家族史、户口类型、自评健康状况和医疗保险对癌症筛查服务需求均有影响(P<0.05),见表4。多因素分析结果显示,已婚、文化程度越高者、家庭总收入高者、有患癌家族史、自评健康状况越差者,癌症筛查服务需求率更高(P<0.05),见表5
癌症筛查是肿瘤二级预防的重要手段,通过癌症筛查对及时发现癌前病变或早期癌症进行提早干预,可有效阻断癌症的发生和发展,进而降低癌症患者死亡率和提高生存率。本研究结果显示,调查人群癌症筛查率为14.77%,略高于我国城市居民癌症筛查率(12.1%)[7],低于西宁市汉族居民(37.27%) [8]、南通市通州区居民(27.4%)[9],低于德国、法国等欧洲国家适龄人群的癌症筛查率(72.40%)[10],低于美国人群的癌症筛查率(根据美国抗癌协会2015年度癌症筛查报告[11],2013年结直肠癌、乳腺癌、宫颈癌和前列腺癌筛查率分别为58.6%、51.3%、80.8%和34.5%),提示四川省居民癌症筛查服务利用率较低。关于癌症筛查服务需求,四川省居民癌症筛查服务的需求率67.64%,低于山东省农村居民81.90%[12]的需求率,略高于我国城市地区65.8%筛查需求[4],高于南通市通州区居民的需求率(58%)[9],处于中等水平。
影响因素分析结果显示,中老年人群癌症筛查服务利用更高,这主要是因为随着年龄的增长,身体机能自然减退,包括肿瘤在内的患病风险增加,高年龄组人群往往更有癌症筛查服务利用的经历;女性居民往往更主动获取健康信息,且更易将健康知识落实到行动上,因而女性的筛查服务利用更高[8];在一项关于婚姻状况与健康关系的研究指出[13],已婚的人通常比未婚的人健康状况更好,本研究结果显示,已婚人群的癌症筛查服务利用和需求都较高,主要是因为已婚人群有配偶在身边的支持与照料能促进其对健康的有效投资,提高健康需求与利用;大量研究表明,文化程度是健康素养的首要影响因素,个体对健康知识的了解、健康信息的获取、卫生资源的利用等都基于一定的教育水平[14-15],本研究结果也发现,随居民文化程度升高,癌症筛查服务利用及需求水平显著升高;公务员及事业单位工作人员的筛查服务利用更高,这可能与这类人员所在单位定期给职工开展体检服务有关,同时医疗机构的医务人员也包含其中,因而癌症筛查服务利用更高;家庭总收入越高的人群筛查服务需求更高,这主要是因为家庭收入水平较高的居民的经济状况更好,没有经济压力,更能接受癌症筛查这类预防性服务[7];有患癌家族史的居民,对于癌症筛查服务的利用和需求都比较高,可能是因为此类人群对癌症相关信息更加敏感,关于癌症筛查相关知识的获取途径更多,更能明白癌症筛查的益处[16];自评健康状况较差者,往往更加关注自身健康状况,同时具有主动寻医倾向,依从性更高,所以癌症筛查服务利用和需求会更高;城镇户口居民的癌症筛查服务利用更高,可能与城乡之间的经济发展水平、医疗资源分布、健康知识素养的差异有关。
综上所述,四川省居民癌症筛查服务呈现出需求较高但实际利用不足的问题,建议加强健康教育,通过广泛宣传癌症筛查的益处提高居民筛查意识,提高居民健康素养;加大政策支持,关注重点人群,建立财政、医保、社会等多渠道癌症筛查筹资机制,降低筛查费用,使经济状况不好的人群也能利用癌症筛查服务。本研究仍存在一定研究局限:一是仅从社会人口学角度分析了癌症筛查服务利用及需求的影响因素,未考虑癌症相关高危因素(吸烟、饮酒等)的影响;二是仅从癌症筛查服务需方进行分析,未考虑筛查服务提供方的实际筛查服务能力。
  • 四川省科技厅重点研发项目(2023YFG0148)
  • 四川省医学科研课题计划(S22004)
  • 四川省自然科学基金(2022NSFSC0640)
  • 成都市科技局技术创新研发项目(2022-YF05-02005-SN)
  • 四川省科普培训项目(2023JDKP0034)
  • 川北医学院2024年度四川省基层卫生事业发展研究中心资助项目(SWFZ24-Y-54)
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2025年第52卷第2期
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doi: 10.20043/j.cnki.MPM.202404441
  • 接收时间:2024-04-25
  • 首发时间:2026-03-18
  • 出版时间:2025-01-25
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  • 收稿日期:2024-04-25
基金
四川省科技厅重点研发项目(2023YFG0148)
四川省医学科研课题计划(S22004)
四川省自然科学基金(2022NSFSC0640)
成都市科技局技术创新研发项目(2022-YF05-02005-SN)
四川省科普培训项目(2023JDKP0034)
川北医学院2024年度四川省基层卫生事业发展研究中心资助项目(SWFZ24-Y-54)
作者信息
    1.四川省肿瘤医院·研究所,四川省癌症防治中心,电子科技大学附属肿瘤医院,四川省肿瘤临床医学研究中心,四川省癌症防治中心办公室(预防部),四川 成都 610041
    2.四川省妇幼保健院,组织人事部
    3.四川省肿瘤医院·研究所,四川省癌症防治中心,电子科技大学附属肿瘤医院,四川省肿瘤临床医学研究中心,组织人事处

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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