Article(id=1324078177395553208, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078175000605624, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202508123, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1754582400000, receivedDateStr=2025-08-08, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793614437674, onlineDateStr=2026-11-02, pubDate=1769270400000, pubDateStr=2026-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793614437674, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793614437674, creator=13701087609, updateTime=1793614437674, updator=13701087609, issue=Issue{id=1324078175000605624, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='2', pageStart='193', pageEnd='384', issueExtLink='null', onlineDate='null', pubDate='1769270400000', pubDateStr='2026-01-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1793614437103, creator='13701087609', updateTime=1793614526046, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324078548130082942, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078175000605624, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324078548130082943, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324078175000605624, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=212, endPage=218, ext={EN=ArticleExt(id=1324078177752069049, articleId=1324078177395553208, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Association between systolic blood pressure trajectories and stroke risk among older adults aged 65 years and older, columnId=1228016567443718970, journalTitle=Modern Preventive Medicine, columnName=Epidemiology and Statistical Methods Advances, runingTitle=null, highlight=null, articleAbstract=
Objective To investigate the association between systolic blood pressure (SBP) trajectories and the risk of stroke among older adults aged ≥65 years.
Methods Older adults aged ≥65 years from Yangzhong City who participated in at least three rounds of Basic Public Health Service health check-ups between 2016 and 2019 and had no history of cardio-cerebrovascular disease were included.The incidence data of stroke were obtained from the Hospital Information System (HIS) of secondary and above hospitals in Yangzhong City, the Chronic Disease Surveillance Information System of Zhenjiang City, and self-reports from subjects during annual health examinations. Latent class mixed models (LCMM) were used to identify long-term SBP trajectories. Multivariable Cox proportional hazards models were applied to examine the association between different SBP trajectory groups and stroke incidence.
Results A total of 12 304 older adults were included in the study. LCMM identified two distinct SBP trajectory groups: a low initial SBP with a slight increase group (90.55%) and a high initial SBP with a steep increase group (9.45%). By the end of follow-up on December 31, 2024, totaling 60 266.59 person-years, with an average follow-up time of 4.90 years.2 495 new stroke cases were recorded, with an incidence density of 41.40 per 1 000 person-years. The incidence density was 39.74 per 1 000 person-years in the low initial SBP group and 57.91 per 1 000 person-years in the high initial SBP group. Multivariable Cox proportional hazards analysis showed that compared to the low initial SBP group, the high initial SBP group had a 20% higher risk of stroke (HR=1.20, 95% CI: 1.04-1.38). Stratified analysis showed that the association between SBP trajectory and stroke incidence differed significantly across age groups. In individuals aged over 70 years, the association was stronger (HR=1.26, 95% CI: 1.04-1.51), while in those aged 70 years or younger, the HR was 1.13 (95% CI: 0.91-1.39). The interaction between age and SBP trajectory was statistically significant (P for interaction=0.015).
Conclusion Among older adults, those with a high initial SBP and a steep increase in SBP over time have a higher risk of stroke. This subgroup should be prioritized in stroke prevention efforts, with strengthened blood pressure monitoring and timely intervention recommended.
, authors=Hai-yuan TONG
1, Yuan-yuan FANG
2, Zhao-lai HUA
3, Yi-long LI
1, Xiang FENG
3, Jian SU
2, 4, authorsList=Hai-yuan TONG, Yuan-yuan FANG, Zhao-lai HUA, Yi-long LI, Xiang FENG, Jian SU, authorCompany=null, correspAuthors=Jian SU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1324078179131995068, articleId=1324078177395553208, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=65岁及以上老年人收缩压轨迹与脑卒中发病风险的关联研究—以江苏扬中市为例, columnId=1228016567632462653, journalTitle=现代预防医学, columnName=流行病与统计方法, runingTitle=null, highlight=null, articleAbstract=
目的 探讨≥65岁老年人收缩压（systolic blood pressure，SBP）变化轨迹与脑卒中发病风险的关联。
方法 选取扬中市2016—2019年至少参加3次国家基本公共卫生服务健康体检，未患心脑血管疾病的≥65岁老年人为研究对象。脑卒中发病信息来源于扬中市二级及以上医院的HIS系统、镇江市慢性病监测信息系统，以及年度健康体检时研究对象的自我报告。使用潜在类别混合模型（latent class mixed model，LCMM）识别SBP长期变化轨迹，采用多因素Cox比例风险模型分析不同老年人SBP轨迹组与脑卒中发病风险的关联。
结果 共纳入≥65岁老年人12 304名，LCMM共识别出2组SBP轨迹，即低初始SBP微升组（90.55%）和高初始SBP高升组（9.45%）。随访至2024年12月31日，共随访60 266.59人年，平均随访时间4.90年。共新发脑卒中2 495人，总发病密度为41.40/1 000人年；其中低初始SBP微升组为39.74/1 000人年，高初始SBP高升组为57.91/1 000人年。多因素Cox比例风险模型显示，与低初始SBP微升组相比，高初始SBP高升组脑卒中发病风险增加20%（HR=1.20，95% CI：1.04~1.38）。分层分析结果显示，在不同年龄组别间，收缩压轨迹与脑卒中发病风险的关联差异具有统计学意义（>70岁组HR=1.26，95% CI：1.04~1.51；≤70岁组HR=1.13，95% CI：0.91~1.39；交互作用P值=0.015）。
结论 SBP呈高初始水平且快速上升的老年人群发生脑卒中的风险较高，应作为脑卒中防控的重点人群，加强血压监测和干预。
, authors=仝海员
1, 方园园
2, 华召来
3, 李一隆
1, 冯祥
3, 苏健
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仝海员（1981—），男，硕士，副主任医师，研究方向：慢性非传染性疾病控制
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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=e23MPfRNF/yFOxUgkXUUvQ==, magXml=C3k9W8yuetxnXzSHd66NjQ==, pdfUrl=null, pdf=/6HDnWMH+N2x8G2AojfqZg==, pdfFileSize=742536, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=qPNnxWmceiBUjMBRModwkw==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=00iVXknjDn5x2ieiaCe3wg==, mapNumber=null, fund=null)}, authors=[Author(id=1324078181594051528, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1324078181707297738, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, authorId=1324078181594051528, language=EN, stringName=Hai-yuan TONG, firstName=Hai-yuan, middleName=null, lastName=TONG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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2.南京医科大学公共卫生学院
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55(5): 1123-1132. (In Chinese), articleTitle=Association between Triglyceride Glucose Index and Triglyceride glucose-obesity composite indices and the risk of ischemic heart disease, refAbstract=null)], funds=[Fund(id=1324078190368535544, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, awardId=BJ23027, language=CN, fundingSource=江苏省卫生健康委员会医学科研项目(BJ23027), fundOrder=null, country=null), Fund(id=1324078190439838713, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, awardId=2023-ZJ-169-GG-003, language=CN, fundingSource=镇江市第六期“169工程”科研项目(2023-ZJ-169-GG-003), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324078179798889405, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, xref=1., ext=[AuthorCompanyExt(id=1324078179811472318, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, companyId=1324078179798889405, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Department of Chronic Diseases, Yangzhong City Center for Disease Control and Prevention, Zhenjiang, Jiangsu 212299, China), AuthorCompanyExt(id=1324078179819860927, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, companyId=1324078179798889405, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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3.扬中市人民医院)]), AuthorCompany(id=1324078181501776837, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, xref=4., ext=[AuthorCompanyExt(id=1324078181510165446, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, companyId=1324078181501776837, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
4.江苏省疾病预防控制中心慢性非传染病防制所)])], figs=[ArticleFig(id=1324078187470271470, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=EN, label=Fig.1, caption=
SBP trajectory groups in older adults, figureFileSmall=uH6gUBL9uzn2GALC4hfanQ==, figureFileBig=qPNnxWmceiBUjMBRModwkw==, tableContent=null), ArticleFig(id=1324078187575129071, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=CN, label=图1, caption=
老年人SBP轨迹组, figureFileSmall=uH6gUBL9uzn2GALC4hfanQ==, figureFileBig=qPNnxWmceiBUjMBRModwkw==, tableContent=null), ArticleFig(id=1324078187889701872, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=EN, label=Table 1, caption=
Relevant parameters of the fitted LCMM model
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| 组数 | 多项式 | BIC | AIC | Log-likelihood | 各组人数占比（%） | Ave PP |
|---|
| 1 | 一次（线性） | 396 187.17 | 396 142.53 | -198 065.26 | 100 | NA |
| 二次 | 396 183.91 | 396 131.83 | -198 058.91 | 100 | NA |
| 三次 | 396 193.33 | 396 133.82 | -198 058.91 | 100 | NA |
| 2 | 一次（线性） | 396 214.54 | 396 147.58 | -198 064.79 | 48.90/51.10 | 0.50/0.50 |
| 二次 | 395 872.48 | 395 790.65 | -197 884.32 | 90.55/9.45 | 0.93/0.75 |
| 三次 | 395 891.33 | 395 794.61 | -197 884.31 | 90.56/9.44 | 0.93/0.75 |
| 3 | 一次（线性） | 396 243.33 | 396 154.05 | -198 065.03 | 28.68/40.27/31.05 | 0.33/0.33/0.33 |
| 二次 | 395 899.24 | 395 787.64 | -197 878.82 | 9.36/84.82/5.81 | 0.68/0.72/0.48 |
| 三次 | 395 936.43 | 395 802.52 | -197 883.26 | 62.51/12.43/25.07 | 0.57/0.67/0.46 |
| 4 | 一次（线性） | 396 272.09 | 396 160.49 | -198 065.25 | 0.02/53.22/44.75/2.02 | 0.25/0.26/0.26/0.26 |
| 二次 | 未拟合成功 | NA | NA | NA | NA |
| 三次 | 未拟合成功 | NA | NA | NA | NA |
), ArticleFig(id=1324078188103611377, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=CN, label=表1, caption=
拟合LCMM模型的相关参数
, figureFileSmall=null, figureFileBig=null, tableContent=
| 组数 | 多项式 | BIC | AIC | Log-likelihood | 各组人数占比（%） | Ave PP |
|---|
| 1 | 一次（线性） | 396 187.17 | 396 142.53 | -198 065.26 | 100 | NA |
| 二次 | 396 183.91 | 396 131.83 | -198 058.91 | 100 | NA |
| 三次 | 396 193.33 | 396 133.82 | -198 058.91 | 100 | NA |
| 2 | 一次（线性） | 396 214.54 | 396 147.58 | -198 064.79 | 48.90/51.10 | 0.50/0.50 |
| 二次 | 395 872.48 | 395 790.65 | -197 884.32 | 90.55/9.45 | 0.93/0.75 |
| 三次 | 395 891.33 | 395 794.61 | -197 884.31 | 90.56/9.44 | 0.93/0.75 |
| 3 | 一次（线性） | 396 243.33 | 396 154.05 | -198 065.03 | 28.68/40.27/31.05 | 0.33/0.33/0.33 |
| 二次 | 395 899.24 | 395 787.64 | -197 878.82 | 9.36/84.82/5.81 | 0.68/0.72/0.48 |
| 三次 | 395 936.43 | 395 802.52 | -197 883.26 | 62.51/12.43/25.07 | 0.57/0.67/0.46 |
| 4 | 一次（线性） | 396 272.09 | 396 160.49 | -198 065.25 | 0.02/53.22/44.75/2.02 | 0.25/0.26/0.26/0.26 |
| 二次 | 未拟合成功 | NA | NA | NA | NA |
| 三次 | 未拟合成功 | NA | NA | NA | NA |
), ArticleFig(id=1324078188191691762, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=EN, label=Table 2, caption=
Baseline characteristics of participants by SBP trajectory groups
, figureFileSmall=null, figureFileBig=null, tableContent=
| 特征 | 总人数[n（%）]
（n=12 304） | 高初始SBP高升组
[n（%）]（n=1 162） | 低初始SBP微升组
[n（%）]（n=11 142） | t/χ2值 | P值 |
|---|
| 性别 | | | | 48.41 | <0.001 |
| 女 | 6 693(54.40) | 745(64.11) | 5 948(53.38) | | |
| 男 | 5 611(45.60) | 417(35.89) | 5 194(46.62) | | |
| 年龄(岁) | 71.55±5.07 | 72.07±5.30 | 71.50±5.05 | 11.81 | <0.001 |
| 婚姻状况 | | | | 6.84 | 0.033 |
| 未婚 | 73(0.01) | 12(1.03) | 61(0.55) | | |
| 已婚 | 8 750(71.11) | 799(68.76) | 7 951(71.36) | | |
| 离婚/丧偶/不详 | 3 481(28.29) | 351(30.21) | 3 130(28.09) | | |
| 学历 | | | | 5.63 | 0.060 |
| 小学及以下 | 6 963(56.59) | 688(59.21) | 6 275(56.32) | | |
| 初高中/中专/大学 | 1 739(14.13) | 140(12.05) | 1 599(14.35) | | |
| 不详 | 3 602(29.28) | 334(28.74) | 3 268(29.33) | | |
| 饮酒状况 | | | | 5.88 | 0.120 |
| 从不饮酒 | 10 017(81.41) | 950(81.76) | 9 067(81.38) | | |
| 偶尔饮酒 | 470(3.82) | 30(2.58) | 440(3.95) | | |
| 经常饮酒 | 225(1.83) | 22(1.89) | 203(1.82) | | |
| 每天饮酒 | 1 592(12.94) | 160(13.77) | 1 432(12.85) | | |
| 吸烟状况 | | | | 35.10 | <0.001 |
| 从不吸烟 | 9 438(76.71) | 972(83.65) | 8 466(75.98) | | |
| 已戒烟 | 118(0.96) | 10(0.86) | 108(0.97) | | |
| 现在吸烟 | 2 748(22.33) | 180(15.49) | 2 568(23.05) | | |
| 锻炼频率 | | | | 16.35 | <0.001 |
| 不锻炼 | 9 951(80.88) | 892(76.76) | 9 059(81.30) | | |
| 偶尔 | 466(3.79) | 46(3.96) | 420(3.77) | | |
| 经常 | 315(2.56) | 41(3.53) | 274(2.46) | | |
| 每天 | 1 572(12.78) | 183(15.75) | 1 389(12.47) | | |
| 基线BMI(kg/m2) | 23.68±3.23 | 24.57±3.32 | 23.59±3.20 | 97.79 | <0.001 |
| 基线SBP(mmHg) | 138.86±18.30 | 165.98±17.32 | 136.03±15.93 | 1993.54 | <0.001 |
), ArticleFig(id=1324078188267189235, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=CN, label=表2, caption=
不同SBP轨迹组研究对象的基线特征
, figureFileSmall=null, figureFileBig=null, tableContent=
| 特征 | 总人数[n（%）]
（n=12 304） | 高初始SBP高升组
[n（%）]（n=1 162） | 低初始SBP微升组
[n（%）]（n=11 142） | t/χ2值 | P值 |
|---|
| 性别 | | | | 48.41 | <0.001 |
| 女 | 6 693(54.40) | 745(64.11) | 5 948(53.38) | | |
| 男 | 5 611(45.60) | 417(35.89) | 5 194(46.62) | | |
| 年龄(岁) | 71.55±5.07 | 72.07±5.30 | 71.50±5.05 | 11.81 | <0.001 |
| 婚姻状况 | | | | 6.84 | 0.033 |
| 未婚 | 73(0.01) | 12(1.03) | 61(0.55) | | |
| 已婚 | 8 750(71.11) | 799(68.76) | 7 951(71.36) | | |
| 离婚/丧偶/不详 | 3 481(28.29) | 351(30.21) | 3 130(28.09) | | |
| 学历 | | | | 5.63 | 0.060 |
| 小学及以下 | 6 963(56.59) | 688(59.21) | 6 275(56.32) | | |
| 初高中/中专/大学 | 1 739(14.13) | 140(12.05) | 1 599(14.35) | | |
| 不详 | 3 602(29.28) | 334(28.74) | 3 268(29.33) | | |
| 饮酒状况 | | | | 5.88 | 0.120 |
| 从不饮酒 | 10 017(81.41) | 950(81.76) | 9 067(81.38) | | |
| 偶尔饮酒 | 470(3.82) | 30(2.58) | 440(3.95) | | |
| 经常饮酒 | 225(1.83) | 22(1.89) | 203(1.82) | | |
| 每天饮酒 | 1 592(12.94) | 160(13.77) | 1 432(12.85) | | |
| 吸烟状况 | | | | 35.10 | <0.001 |
| 从不吸烟 | 9 438(76.71) | 972(83.65) | 8 466(75.98) | | |
| 已戒烟 | 118(0.96) | 10(0.86) | 108(0.97) | | |
| 现在吸烟 | 2 748(22.33) | 180(15.49) | 2 568(23.05) | | |
| 锻炼频率 | | | | 16.35 | <0.001 |
| 不锻炼 | 9 951(80.88) | 892(76.76) | 9 059(81.30) | | |
| 偶尔 | 466(3.79) | 46(3.96) | 420(3.77) | | |
| 经常 | 315(2.56) | 41(3.53) | 274(2.46) | | |
| 每天 | 1 572(12.78) | 183(15.75) | 1 389(12.47) | | |
| 基线BMI(kg/m2) | 23.68±3.23 | 24.57±3.32 | 23.59±3.20 | 97.79 | <0.001 |
| 基线SBP(mmHg) | 138.86±18.30 | 165.98±17.32 | 136.03±15.93 | 1993.54 | <0.001 |
), ArticleFig(id=1324078188342686708, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=EN, label=Table 3, caption=
Multivariable cox regression analysis of the association between SBP trajectory groups and stroke risk
, figureFileSmall=null, figureFileBig=null, tableContent=
| 组别 | 模型1 | 模型2 | 模型3 |
| HR（95%CI） | P值 | HR（95%CI） | P值 | HR（95%CI） | P值 |
| 低初始SBP微升组 | 1.00 | - | 1.00 | - | 1.00 | - |
| 高初始SBP高升组 | 1.44(1.28~1.62) | <0.001 | 1.38(1.22~1.55) | <0.001 | 1.20(1.04~1.38) | 0.011 |
| 组别 | 分析1 | 分析2 | | |
| HR（95%CI） | P值 | HR（95%CI） | P值 |
| 低初始SBP微升组 | 1.00 | - | 1.00 | - | | |
| 高初始SBP高升组 | 1.20(1.04~1.38) | 0.011 | 1.23(1.06~1.43) | 0.007 | | |
), ArticleFig(id=1324078188426572789, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=CN, label=表3, caption=
不同SBP轨迹组与脑卒中发病风险关联的多因素Cox回归分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 组别 | 模型1 | 模型2 | 模型3 |
| HR（95%CI） | P值 | HR（95%CI） | P值 | HR（95%CI） | P值 |
| 低初始SBP微升组 | 1.00 | - | 1.00 | - | 1.00 | - |
| 高初始SBP高升组 | 1.44(1.28~1.62) | <0.001 | 1.38(1.22~1.55) | <0.001 | 1.20(1.04~1.38) | 0.011 |
| 组别 | 分析1 | 分析2 | | |
| HR（95%CI） | P值 | HR（95%CI） | P值 |
| 低初始SBP微升组 | 1.00 | - | 1.00 | - | | |
| 高初始SBP高升组 | 1.20(1.04~1.38) | 0.011 | 1.23(1.06~1.43) | 0.007 | | |
), ArticleFig(id=1324078188502070262, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=EN, label=Table 4, caption=
Stratified analysis of the association between SBP trajectory groups and stroke risk
, figureFileSmall=null, figureFileBig=null, tableContent=
| 分层变量 | HR(95%CI) | P值 | 交互P值 |
|---|
| 性别 | | | 0.998 |
| 女性(n=6 693) | 1.20(1.00~1.43) | 0.047 | |
| 男性(n=5 611) | 1.21(0.96~1.51) | 0.104 | |
| 年龄 | | | 0.015 |
| >70岁(n=5 951) | 1.26(1.04~1.51) | 0.015 | |
| ≤70岁(n=6 353) | 1.13(0.91~1.39) | 0.270 | |
| 吸烟状态 | | | 0.382 |
| 从不吸烟(n=9 438) | 1.21(1.04~1.41) | 0.012 | |
| 现在吸烟/已戒烟(n=2 866) | 1.08(0.76~1.55) | 0.657 | |
| 饮酒状态 | | | 0.529 |
| 从不饮酒(n=10 017) | 1.21(1.03~1.41) | 0.018 | |
| 饮酒(n=2 287) | 1.15(0.83~1.58) | 0.397 | |
| 锻炼频率 | | | 0.104 |
| 不锻炼(n=9 951) | 1.26(1.08~1.48) | 0.003 | |
| 锻炼(n=2 353) | 1.02(0.76~1.37) | 0.885 | |
), ArticleFig(id=1324078190213346295, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324078177395553208, language=CN, label=表4, caption=
不同SBP轨迹组与脑卒中发病风险关联的分层分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 分层变量 | HR(95%CI) | P值 | 交互P值 |
|---|
| 性别 | | | 0.998 |
| 女性(n=6 693) | 1.20(1.00~1.43) | 0.047 | |
| 男性(n=5 611) | 1.21(0.96~1.51) | 0.104 | |
| 年龄 | | | 0.015 |
| >70岁(n=5 951) | 1.26(1.04~1.51) | 0.015 | |
| ≤70岁(n=6 353) | 1.13(0.91~1.39) | 0.270 | |
| 吸烟状态 | | | 0.382 |
| 从不吸烟(n=9 438) | 1.21(1.04~1.41) | 0.012 | |
| 现在吸烟/已戒烟(n=2 866) | 1.08(0.76~1.55) | 0.657 | |
| 饮酒状态 | | | 0.529 |
| 从不饮酒(n=10 017) | 1.21(1.03~1.41) | 0.018 | |
| 饮酒(n=2 287) | 1.15(0.83~1.58) | 0.397 | |
| 锻炼频率 | | | 0.104 |
| 不锻炼(n=9 951) | 1.26(1.08~1.48) | 0.003 | |
| 锻炼(n=2 353) | 1.02(0.76~1.37) | 0.885 | |
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