Article(id=1323941391776227845, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1323941237702668764, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202507208, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1752336000000, receivedDateStr=2025-07-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793581825441, onlineDateStr=2026-11-02, pubDate=1765296000000, pubDateStr=2025-12-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793581825441, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793581825441, creator=13701087609, updateTime=1793581825441, updator=13701087609, issue=Issue{id=1323941237702668764, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='23', pageStart='4225', pageEnd='4416', issueExtLink='null', onlineDate='null', pubDate='1765296000000', pubDateStr='2025-12-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1793581788707, creator='13701087609', updateTime=1793581887795, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1323941653374959780, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1323941237702668764, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1323941653374959781, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1323941237702668764, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4403, endPage=4408, ext={EN=ArticleExt(id=1323941391973360134, articleId=1323941391776227845, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Association between the uric acid to albumin ratio and hypertension: a cross-sectional study based on NHANES, columnId=1228016569138213037, journalTitle=Modern Preventive Medicine, columnName=Clinical Medicine and Prevention, runingTitle=null, highlight=null, articleAbstract=
Objective To investigate the association between the serum uric acid to albumin ratio (UAR) and hypertension.
Methods This study included data from 23 552 U.S. adults from the NHANES database(2007—2016). Multivariable logistic regression models and smooth curve fitting were used to examine the linear and nonlinear relationships between UAR and hypertension. Threshold effect analysis was applied to identify inflection points, and subgroup analyses were conducted to assess the association across different populations. Finally, the diagnostic performance of UAR for hypertension was evaluated using receiver operating characteristic(ROC) curves.
Results After adjusting for all confounding factors, multivariable logistic regression analysis showed that higher UAR was significantly associated with an increased prevalence of hypertension (OR=1.11, 95% CI: 1.09-1.13). Compared with the low UAR group, the middle (OR=1.14, 95% CI: 1.05-1.24) and high (OR=1.46, 95% CI: 1.33-1.60) UAR groups had significantly increased risks of hypertension(P<0.05). Smooth curve fitting revealed a J-shaped nonlinear relationship between UAR and hypertension. Threshold effect analysis indicated that below the threshold of 4.66, UAR was negatively correlated with hypertension (OR=0.75, 95% CI: 0.61-0.92), whereas above 4.66, a positive correlation was observed (OR=1.12, 95% CI: 1.10-1.14). Consistent results were obtained in subgroup analyses, and interaction effects were observed across subgroups stratified by sex, age, alcohol consumption, BMI, and diabetes (P<0.05). The ROC curve demonstrated that UAR had moderate predictive ability for hypertension, with an area under the curve (AUC) of 0.639.
Conclusion UAR is closely associated with hypertension and may serve as a promising biomarker for assessing early hypertension risk.
, authors=Gui-yuan YANG, Yi-ran LI, Yu-lin CHEN, Hong ZHANG, Kai-xuan LIN, authorsList=Gui-yuan YANG, Yi-ran LI, Yu-lin CHEN, Hong ZHANG, Kai-xuan LIN, authorCompany=null, correspAuthors=Kai-xuan LIN, 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=1323941394859041299, articleId=1323941391776227845, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=血清尿酸与白蛋白比值与高血压患病的关联性分析——基于NHANES的横断面研究, columnId=1228016570119680182, journalTitle=现代预防医学, columnName=临床与预防, runingTitle=null, highlight=null, articleAbstract=
目的 探讨血清尿酸与白蛋白比值(uric acid to albumin ratio, UAR)与高血压患病的关联。
方法 基于2007—2016年美国国家营养健康调查(National Health and Nutrition Examination Survey，NHANES) 数据库中23 552名美国成年人数据，采用多因素logistic回归模型与平滑曲线拟合探究UAR与高血压患病的线性与非线性关系，通过阈值效应分析识别拐点，并进行亚组分析观察不同人群中两者的相关性。最后，使用受试者工作特征（receiver operating characteristic,ROC）曲线评估UAR对高血压患病的诊断性能。
结果 多因素logistic回归分析显示，在校正所有混杂因素后，UAR的增加与高血压患病率升高存在显著关联(OR=1.11,95% CI:1.09～1.13)，与低值组相比，中值组(OR=1.14,95% CI:1.05～1.24)和高值组(OR= 1.46,95% CI:1.33～1.60)患高血压的几率增加(P<0.05)。平滑曲线揭示两者之间呈J型的非线性关联。阈值效应分析显示，在阈值4.66以下，UAR与高血压患病之间呈负相关(OR=0.75,95% CI:0.61～0.92)，而阈值高于4.66，两者呈正相关(OR=1.12,95% CI:1.10～1.14)。亚组分析获得了一致的结果，且在性别、年龄、饮酒情况、BMI及糖尿病亚组上存在交互作用(P<0.05)。ROC曲线表明，UAR在预测高血压患病方面具有中等能力，其曲线下面积为0.639。
结论 UAR与高血压患病存在密切关联，可能是评估早期高血压危险的重要生物标志物。
, authors=杨贵元, 李怡然, 陈瑜琳, 张泓, 林凯旋, authorsList=杨贵元, 李怡然, 陈瑜琳, 张泓, 林凯旋, authorCompany=null, correspAuthors=林凯旋, authorNote=
杨贵元（1999—），男，硕士在读；研究方向：心病研究
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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=597F9NlcfqtoCeBve8Scgg==, magXml=BHniUwKRuD2Pf5OQOOrTKw==, pdfUrl=null, pdf=x9ClqqYfkxQuWp1dT1WgTA==, pdfFileSize=754468, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=D0KbkxBKIIbclLLKKJ7qjA==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=4aDeXjUV2G5QhJ7wOWPgyw==, mapNumber=null, fund=null)}, authors=[Author(id=1323941395207168536, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, 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=1323941395341386266, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, authorId=1323941395207168536, language=EN, stringName=Gui-yuan YANG, firstName=Gui-yuan, middleName=null, lastName=YANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Department of Internal Medicine I, Zhongshan Hospital of Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, Zhongshan, Guangdong 528400, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1323941395421078043, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, authorId=1323941395207168536, language=CN, stringName=杨贵元, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=广州中医药大学附属中山中医院内一科，广东 中山 528400, bio={"content":"
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QJM: Monthly Journal of the Association of Physicians,
2022,
115 (5): 271-278., articleTitle=Relation of BMI and waist circumference with the risk of new-onset hyperuricemia in hypertensive patients, refAbstract=null)], funds=[Fund(id=1323941399581827652, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, awardId=GZYZS2024XKG03, language=CN, fundingSource=国家中医药传承发展示范试点项目-院校共建(GZYZS2024XKG03), fundOrder=null, country=null), Fund(id=1323941399661519429, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, awardId=2202779, language=CN, fundingSource=国家中医药传承发展示范试点项目-中山市中医院曾安教授柔性引才专家团队-2024年中医药部门中央补助资金(2202779), fundOrder=null, country=null), Fund(id=1323941399737016902, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, awardId=JCTJ-2024-002-04, language=CN, fundingSource=国家中医药管理局监测统计中心委托办事经费任务(JCTJ-2024-002-04), fundOrder=null, country=null), Fund(id=1323941399820902983, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, awardId=2025JCTJE51, language=CN, fundingSource=国家中医药管理局监测统计中心(2025JCTJE51), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1323941395093922324, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, xref=null, ext=[AuthorCompanyExt(id=1323941395106505237, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, companyId=1323941395093922324, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Department of Internal Medicine I, Zhongshan Hospital of Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, Zhongshan, Guangdong 528400, China), AuthorCompanyExt(id=1323941395114893846, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, companyId=1323941395093922324, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=广州中医药大学附属中山中医院内一科，广东 中山 528400)])], figs=[ArticleFig(id=1323941398407422518, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=EN, label=Figure 1, caption=
Participant selection flowchart for NHANES 2007—2016, figureFileSmall=ezVzQuG4LDB+wno7mWjlIw==, figureFileBig=D0KbkxBKIIbclLLKKJ7qjA==, tableContent=null), ArticleFig(id=1323941398474531383, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=CN, label=图1, caption=
NHANES 2007—2016年参与者选择流程图, figureFileSmall=ezVzQuG4LDB+wno7mWjlIw==, figureFileBig=D0KbkxBKIIbclLLKKJ7qjA==, tableContent=null), ArticleFig(id=1323941398638109240, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=EN, label=Figure 2, caption=
Smooth curve fitting between UAR and the probability of hypertension incidence, figureFileSmall=Jq8hqls5+E4FSeoj+BNkMg==, figureFileBig=F9BlwM6JulG2+Jc6bVL5KQ==, tableContent=null), ArticleFig(id=1323941398701023801, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=CN, label=图2, caption=
UAR与高血压患病率的平滑曲线拟合注：中间浅实线表示变量之间的拟合，而两端深实线带表示 95% CI。
, figureFileSmall=Jq8hqls5+E4FSeoj+BNkMg==, figureFileBig=F9BlwM6JulG2+Jc6bVL5KQ==, tableContent=null), ArticleFig(id=1323941398776521274, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=EN, label=Figure 3, caption=
ROC curves comparing UAR with serum uric acid and serum albumin alone, figureFileSmall=oU7UUVRAbbIsm+8IWxZOjg==, figureFileBig=cQpWWSDzKbv010WAWr3qbA==, tableContent=null), ArticleFig(id=1323941398847824443, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=CN, label=图3, caption=
UAR与单独使用血清尿酸和血清白蛋白的ROC曲线比较, figureFileSmall=oU7UUVRAbbIsm+8IWxZOjg==, figureFileBig=cQpWWSDzKbv010WAWr3qbA==, tableContent=null), ArticleFig(id=1323941398927516220, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=EN, label=Table 1, caption=
Basic characteristics of the research population ［（
）, n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 总数 (n=23 552) | 非高血压组 (n=13 810) | 高血压组(n=9 742) | P值 |
|---|
| 年龄（岁） | 49.29±17.61 | 42.06±15.67 | 59.55±14.91 | <0.001 |
| 性别 | | | | 0.010 |
| 男性 | 11 655 (49.49) | 6 737 (48.78) | 4 918 (50.48) | |
| 女性 | 11 897 (50.51) | 7 073 (51.22) | 4 824 (49.52) | |
| 种族 | | | | <0.001 |
| 非西班牙裔白种人 | 10 034 (42.6) | 5 760 (41.71) | 4 274 (43.87) | |
| 非西班牙裔黑种人 | 4 709 (19.99) | 2 300 (16.65) | 2 409 (24.73) | |
| 墨西哥美国人 | 2 565 (10.89) | 1 589 (11.51) | 976 (10.02) | |
| 其他种族 | 6 244 (26.51) | 4 161 (30.13) | 2 083 (21.38) | |
| 受教育程度 | | | | <0.001 |
| 高中以下 | 5 963 (25.32) | 3 117 (22.57) | 2 846 (29.21) | |
| 高中或同等教育 | 5 290 (22.46) | 2 939 (21.28) | 2 351 (24.13) | |
| 高中以上 | 12 299 (52.22) | 7 754 (56.15) | 4 545 (46.65) | |
| 婚姻状况 | | | | <0.001 |
| 已婚或与伴侣生活在一起 | 14 115 (59.93) | 8 414 (60.93) | 5 701 (58.52) | |
| 独居 | 9 437 (40.07) | 5 396 (39.07) | 4 041 (41.48) | |
| PIR | | | | <0.001 |
| ≤1.30 | 7 567 (32.14) | 4 342 (31.44) | 3 225 (33.10) | |
| 1.31～3.50 | 8 959 (38.04) | 5 173 (37.46) | 3 786 (38.86) | |
| >3.50 | 7 026 (29.83) | 4 295 (31.10) | 2 731 (28.03) | |
| 饮酒情况 | | | | <0.001 |
| 不饮酒 | 6 369 (27.04) | 3 430 (24.84) | 2 939 (30.17) | |
| 少量或中度饮酒 | 8 269 (35.11) | 4 631 (33.53) | 3 638 (37.34) | |
| 重度饮酒 | 8 914 (37.85) | 5 749 (41.63) | 3 165 (32.49) | |
| 吸烟状况 | | | | <0.001 |
| 从不吸烟 | 13 018 (55.27) | 8 121 (58.81) | 4 897 (50.27) | |
| 既往吸烟 | 4 878 (20.71) | 3 019 (21.86) | 1 859 (19.08) | |
| 现在吸烟 | 5 656 (24.01) | 2 670 (19.33) | 2 986 (30.65) | |
| BMI（kg/m2） | 28.98±6.72 | 27.85±6.27 | 30.59±7.01 | <0.001 |
| 钠摄入量（mg） | 3 455.52± 1 821.96 | 3 592.85±1 874.62 | 3 293.68±1 742.47 | <0.001 |
| 久坐时间（min） | 355.44± 203.06 | 348.98±203.29 | 364.59±202.38 | <0.001 |
| 糖尿病 | | | | <0.001 |
| 是 | 5 739 (24.37) | 192 (1.39) | 741 (7.61) | |
| 否 | 17 813 (75.63) | 13 618 (98.61) | 9 001 (92.39) | |
| 总胆固醇（mmol/L） | 4.99± 1.07 | 4.97±1.04 | 5.01±1.12 | 0.007 |
| 甘油三酯（mmol/L） | 1.45±1.15 | 1.38±1.07 | 1.53±1.25 | <0.001 |
| HDL-C（mmol/L） | 1.37±0.42 | 1.38±0.41 | 1.35±0.43 | <0.001 |
| LDL-C（mmol/L） | 2.95±0.97 | 2.96±0.96 | 2.94±0.98 | 0.109 |
| 血清肌酐（umol/L） | 79.38±37.93 | 73.87±20.69 | 87.21±52.61 | <0.001 |
| 血红蛋白（g/dl） | 14.03±1.54 | 14.12±1.51 | 13.91±1.57 | <0.001 |
| UAR | 53.32±7.32 | 7.22±1.84 | 8.27±2.30 | <0.001 |
), ArticleFig(id=1323941399028179517, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=CN, label=表1, caption=
研究人群的基本特征 ［（
）,n（%）］
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 总数 (n=23 552) | 非高血压组 (n=13 810) | 高血压组(n=9 742) | P值 |
|---|
| 年龄（岁） | 49.29±17.61 | 42.06±15.67 | 59.55±14.91 | <0.001 |
| 性别 | | | | 0.010 |
| 男性 | 11 655 (49.49) | 6 737 (48.78) | 4 918 (50.48) | |
| 女性 | 11 897 (50.51) | 7 073 (51.22) | 4 824 (49.52) | |
| 种族 | | | | <0.001 |
| 非西班牙裔白种人 | 10 034 (42.6) | 5 760 (41.71) | 4 274 (43.87) | |
| 非西班牙裔黑种人 | 4 709 (19.99) | 2 300 (16.65) | 2 409 (24.73) | |
| 墨西哥美国人 | 2 565 (10.89) | 1 589 (11.51) | 976 (10.02) | |
| 其他种族 | 6 244 (26.51) | 4 161 (30.13) | 2 083 (21.38) | |
| 受教育程度 | | | | <0.001 |
| 高中以下 | 5 963 (25.32) | 3 117 (22.57) | 2 846 (29.21) | |
| 高中或同等教育 | 5 290 (22.46) | 2 939 (21.28) | 2 351 (24.13) | |
| 高中以上 | 12 299 (52.22) | 7 754 (56.15) | 4 545 (46.65) | |
| 婚姻状况 | | | | <0.001 |
| 已婚或与伴侣生活在一起 | 14 115 (59.93) | 8 414 (60.93) | 5 701 (58.52) | |
| 独居 | 9 437 (40.07) | 5 396 (39.07) | 4 041 (41.48) | |
| PIR | | | | <0.001 |
| ≤1.30 | 7 567 (32.14) | 4 342 (31.44) | 3 225 (33.10) | |
| 1.31～3.50 | 8 959 (38.04) | 5 173 (37.46) | 3 786 (38.86) | |
| >3.50 | 7 026 (29.83) | 4 295 (31.10) | 2 731 (28.03) | |
| 饮酒情况 | | | | <0.001 |
| 不饮酒 | 6 369 (27.04) | 3 430 (24.84) | 2 939 (30.17) | |
| 少量或中度饮酒 | 8 269 (35.11) | 4 631 (33.53) | 3 638 (37.34) | |
| 重度饮酒 | 8 914 (37.85) | 5 749 (41.63) | 3 165 (32.49) | |
| 吸烟状况 | | | | <0.001 |
| 从不吸烟 | 13 018 (55.27) | 8 121 (58.81) | 4 897 (50.27) | |
| 既往吸烟 | 4 878 (20.71) | 3 019 (21.86) | 1 859 (19.08) | |
| 现在吸烟 | 5 656 (24.01) | 2 670 (19.33) | 2 986 (30.65) | |
| BMI（kg/m2） | 28.98±6.72 | 27.85±6.27 | 30.59±7.01 | <0.001 |
| 钠摄入量（mg） | 3 455.52± 1 821.96 | 3 592.85±1 874.62 | 3 293.68±1 742.47 | <0.001 |
| 久坐时间（min） | 355.44± 203.06 | 348.98±203.29 | 364.59±202.38 | <0.001 |
| 糖尿病 | | | | <0.001 |
| 是 | 5 739 (24.37) | 192 (1.39) | 741 (7.61) | |
| 否 | 17 813 (75.63) | 13 618 (98.61) | 9 001 (92.39) | |
| 总胆固醇（mmol/L） | 4.99± 1.07 | 4.97±1.04 | 5.01±1.12 | 0.007 |
| 甘油三酯（mmol/L） | 1.45±1.15 | 1.38±1.07 | 1.53±1.25 | <0.001 |
| HDL-C（mmol/L） | 1.37±0.42 | 1.38±0.41 | 1.35±0.43 | <0.001 |
| LDL-C（mmol/L） | 2.95±0.97 | 2.96±0.96 | 2.94±0.98 | 0.109 |
| 血清肌酐（umol/L） | 79.38±37.93 | 73.87±20.69 | 87.21±52.61 | <0.001 |
| 血红蛋白（g/dl） | 14.03±1.54 | 14.12±1.51 | 13.91±1.57 | <0.001 |
| UAR | 53.32±7.32 | 7.22±1.84 | 8.27±2.30 | <0.001 |
), ArticleFig(id=1323941399095288382, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=EN, label=Table 2, caption=
Multivariable logistic regression analysis of UAR for hypertension
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 模型1 | 模型2 | 模型3 |
|---|
| OR (95% CI) | P值 | OR (95% CI) | P值 | OR (95% CI) | P值 |
|---|
| UAR比值 | 1.29(1.27～1.31) | <0.001 | 1.23 (1.21～1.25) | <0.001 | 1.11 (1.09～1.13) | <0.001 |
| UAR（分类） | | | | | | |
| 低值组 (0.54～6.63) | 1. 00( Reference) | | 1. 00( Reference) | | 1. 00( Reference) | |
| 中值组(6.64～8.33) | 1.55 (1.45～1.66) | <0.001 | 1.41 (1.30～1.52) | <0.001 | 1.14 (1.05～1.24) | 0.001 |
| 高值组(8.34～27.67) | 2.95 (2.76～3.15) | <0.001 | 2.34 (2.16～2.54) | <0.001 | 1.46 (1.33～1.60) | <0.001 |
), ArticleFig(id=1323941399174980159, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=CN, label=表2, caption=
UAR与高血压之间的多因素logistic回归分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 模型1 | 模型2 | 模型3 |
|---|
| OR (95% CI) | P值 | OR (95% CI) | P值 | OR (95% CI) | P值 |
|---|
| UAR比值 | 1.29(1.27～1.31) | <0.001 | 1.23 (1.21～1.25) | <0.001 | 1.11 (1.09～1.13) | <0.001 |
| UAR（分类） | | | | | | |
| 低值组 (0.54～6.63) | 1. 00( Reference) | | 1. 00( Reference) | | 1. 00( Reference) | |
| 中值组(6.64～8.33) | 1.55 (1.45～1.66) | <0.001 | 1.41 (1.30～1.52) | <0.001 | 1.14 (1.05～1.24) | 0.001 |
| 高值组(8.34～27.67) | 2.95 (2.76～3.15) | <0.001 | 2.34 (2.16～2.54) | <0.001 | 1.46 (1.33～1.60) | <0.001 |
), ArticleFig(id=1323941399246283328, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=EN, label=Table 3, caption=
Analysis of the threshold effect between UAR and hypertension
, figureFileSmall=null, figureFileBig=null, tableContent=
| 结果 | OR (95% CI) | P值 |
|---|
| 模型 1：通过标准线性模型拟合 | 1.11 (1.09～1.13) | <0.001 |
| 模型2：通过分段线性回归拟合模型拐点 | 4.66 | |
| <4.66 | 0.75 (0.61～0.92) | 0.004 |
| >4.66 | 1.12 (1.10～1.14) | <0.001 |
| 对数似然比检验的P值 | | <0.001 |
), ArticleFig(id=1323941399325975105, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=CN, label=表3, caption=
UAR与高血压之间的阈值效应分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 结果 | OR (95% CI) | P值 |
|---|
| 模型 1：通过标准线性模型拟合 | 1.11 (1.09～1.13) | <0.001 |
| 模型2：通过分段线性回归拟合模型拐点 | 4.66 | |
| <4.66 | 0.75 (0.61～0.92) | 0.004 |
| >4.66 | 1.12 (1.10～1.14) | <0.001 |
| 对数似然比检验的P值 | | <0.001 |
), ArticleFig(id=1323941399393083970, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=EN, label=Table 4, caption=
Subgroup analysis of the association between UAR and hypertension
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | OR (95% CI) | P值 | 交互作用P值 |
|---|
| 性别 | | | <0.001 |
| 男性 | 1.07 (1.05～1.10) | <0.001 | |
| 女性 | 1.15 (1.12～1.18) | <0.001 | |
| 年龄（岁） | | | 0.001 |
| ≤45 | 1.09 (1.05～1.14) | <0.001 | |
| 46～65 | 1.16 (1.12～1.19) | <0.001 | |
| >65 | 1.08 (1.05～1.11) | <0.001 | |
| 饮酒情况 | | | 0.034 |
| 不饮酒 | 1.08 (1.04～1.11) | <0.001 | |
| 少量或中度饮酒 | 1.11 (1.08～1.14) | <0.001 | |
| 重度饮酒 | 1.14 (1.10～1.17) | <0.001 | |
| 吸烟状况 | | | 0.453 |
| 从不吸烟 | 1.12 (1.09～1.15) | <0.001 | |
| 以前吸烟 | 1.11 (1.07～1.15) | <0.001 | |
| 现在吸烟 | 1.09 (1.06～1.13) | <0.001 | |
| BMI（kg/m2） | | | 0.041 |
| ≤25 | 1.16 (1.11～1.20) | <0.001 | |
| 26～30 | 1.09 (1.06～1.13) | <0.001 | |
| >30 | 1.14 (1.11～1.18) | <0.001 | |
| 糖尿病 | | | 0.012 |
| 是 | 1.07 (1.04～1.11) | <0.001 | |
| 否 | 1.13 (1.10～1.15) | <0.001 | |
), ArticleFig(id=1323941399464387139, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1323941391776227845, language=CN, label=表4, caption=
UAR与高血压患病关联的亚组分析
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | OR (95% CI) | P值 | 交互作用P值 |
|---|
| 性别 | | | <0.001 |
| 男性 | 1.07 (1.05～1.10) | <0.001 | |
| 女性 | 1.15 (1.12～1.18) | <0.001 | |
| 年龄（岁） | | | 0.001 |
| ≤45 | 1.09 (1.05～1.14) | <0.001 | |
| 46～65 | 1.16 (1.12～1.19) | <0.001 | |
| >65 | 1.08 (1.05～1.11) | <0.001 | |
| 饮酒情况 | | | 0.034 |
| 不饮酒 | 1.08 (1.04～1.11) | <0.001 | |
| 少量或中度饮酒 | 1.11 (1.08～1.14) | <0.001 | |
| 重度饮酒 | 1.14 (1.10～1.17) | <0.001 | |
| 吸烟状况 | | | 0.453 |
| 从不吸烟 | 1.12 (1.09～1.15) | <0.001 | |
| 以前吸烟 | 1.11 (1.07～1.15) | <0.001 | |
| 现在吸烟 | 1.09 (1.06～1.13) | <0.001 | |
| BMI（kg/m2） | | | 0.041 |
| ≤25 | 1.16 (1.11～1.20) | <0.001 | |
| 26～30 | 1.09 (1.06～1.13) | <0.001 | |
| >30 | 1.14 (1.11～1.18) | <0.001 | |
| 糖尿病 | | | 0.012 |
| 是 | 1.07 (1.04～1.11) | <0.001 | |
| 否 | 1.13 (1.10～1.15) | <0.001 | |
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