Article(id=1241022948719521887, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241022939957621542, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202407475, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1721836800000, receivedDateStr=2024-07-25, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773812528066, onlineDateStr=2026-03-18, pubDate=1742832000000, pubDateStr=2025-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773812528066, onlineIssueDateStr=2026-03-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773812528066, creator=13701087609, updateTime=1773812528066, updator=13701087609, issue=Issue{id=1241022939957621542, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='6', pageStart='961', pageEnd='1152', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773812525976, creator=13701087609, updateTime=1773815469296, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241035285174219432, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241022939957621542, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241035285174219433, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241022939957621542, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1144, endPage=1152, ext={EN=ArticleExt(id=1241022949080232062, articleId=1241022948719521887, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=A prospective cohort study on the impact of depressive symptoms on all-cause mortality and cardiovascular mortality risk in patients with chronic comorbidity, columnId=1228016569138213037, journalTitle=Modern Preventive Medicine, columnName=Clinical Medicine and Prevention, runingTitle=null, highlight=null, articleAbstract=
Objective To explore the association between depressive symptoms and all-cause mortality and cardiovascular disease mortality in patients with chronic comorbidity.
Methods Single-factor analysis was performed using chi-square test, and the relationship between PHQ-9 scores, depressive symptoms, and all-cause mortality as well as cardiovascular disease mortality in patients of multimorbidity were analyzed using COX proportional hazards regression model.
Results The results of the multivariable COX regression showed that as compared to those without depressive symptoms, patients of multimorbidity with depressive symptoms had HR=1.665 (95% CI: 1.135-2.444) for all-cause mortality and HR=2.090 (95% CI: 1.216-3.594) for cardiovascular mortality. With an increase in PHQ-9 score, the risks of all-cause mortality (HR=1.060, 95% CI: 1.014-1.107) (Ptrend<0.010) and cardiovascular mortality (HR=1.072, 95% CI: 1.005-1.144) (Ptrend<0.010) gradually increased. Subgroup analysis by urban and rural areas showed that there was an interaction between different urban and rural depressive symptoms on the risk of all-cause mortality in patients of multimorbidity (P interaction <0.05). In rural areas, patients of multimorbidity with depressive symptoms had 2.637 times (95% CI: 1.639-4.243) higher risk of all-cause mortality and 3.207 times (95% CI: 1.686-6.101) higher risk of cardiovascular mortality compared to those without depressive symptoms. With an increase in PHQ-9 score, the risks of all-cause mortality (Ptrend<0.001) and cardiovascular mortality (Ptrend<0.001) also increased. However, these associations were not significant in urban areas.
Conclusion Depressive symptoms is a risk factor for all-cause mortality and cardiovascular disease mortality in patients of multimorbidity, and more attention should be paid to psychological interventions for patients of multimorbidity in rural areas to reduce the risk of mortality in patients of multimorbidity.
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目的 探索抑郁症状与慢性病共病患者全因死亡和心脑血管疾病死亡的关系。
方法 本研究采用χ2检验进行单因素分析,运用COX比例风险回归模型分别分析PHQ-9得分、抑郁症状与共病患者全因死亡和心脑血管疾病死亡的关系。
结果 多因素COX回归结果显示,与无抑郁症状人群相比,抑郁症状人群的全因死亡、心脑血管死亡分别为HR=1.665(95% CI:1.135~2.444)、HR=2.090(95% CI:1.216~3.594),随着PHQ-9得分增加,全因死亡(HR=1.060,95% CI:1.014~1.107)(P趋势<0.01)和心脑血管死亡(HR=1.072,95% CI:1.005~1.144)(P趋势<0.01)风险逐渐增大。城乡亚组分析结果显示,不同城乡抑郁症状对共病患者全因死亡风险存在交互作用(P interaction<0.05),在农村地区,抑郁症状人群的全因死亡、心脑血管死亡风险分别是无抑郁症状人群的2.637倍(95% CI:1.639~4.243)、3.207倍(95% CI:1.686~6.101),且随着PHQ-9得分的增加,全因死亡(P趋势<0.001)和心脑血管死亡(P趋势<0.001)风险也随之增大,然而在城市地区这些关联无统计学意义。
结论 抑郁症状是共病患者全因死亡和心脑血管疾病死亡的危险因素,应更加注重农村地区共病患者心理健康教育与干预,降低共病患者死亡风险。
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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=NKwXq1e5kT9OReJnO0r+8Q==, magXml=Zom7z2iCfhUiXu9+HK1OIg==, pdfUrl=null, pdf=zDwuoUmtSVIyg/iN7oSMAQ==, pdfFileSize=1236289, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=E/g5LqH5GO4oNd5QrdcZbg==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=a95NkS8eh+Cts0mXFzspCA==, mapNumber=null, authorCompany=null, fund=null, authors=
安芹彧(1999—),女,硕士在读,研究方向:社会医学与卫生事业管理
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Li YQ. Whether the premium subsidies for China’s health insurance promote health care utilization of the residents?[J].
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2023, (1): 111-134. (In Chinese), articleTitle=Whether the premium subsidies for China’s health insurance promote health care utilization of the residents?, refAbstract=null)], funds=[Fund(id=1241022962174849908, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, awardId=黔科合支撑[2018]2819, language=CN, fundingSource=贵州省科技计划项目(黔科合支撑[2018]2819), fundOrder=null, country=null), Fund(id=1241022962309067645, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, awardId=null, language=CN, fundingSource=贵州省卫生健康委省级重点建设学科项目, fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241022952523755829, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, xref=1., ext=[AuthorCompanyExt(id=1241022952532144438, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, companyId=1241022952523755829, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of medicine, Guizhou University, Guiyang, Guizhou 550025, China), AuthorCompanyExt(id=1241022952557310266, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, companyId=1241022952523755829, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.贵州大学医学院,贵州 贵阳 550025)]), AuthorCompany(id=1241022952678945091, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, xref=2., ext=[AuthorCompanyExt(id=1241022952708305225, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, companyId=1241022952678945091, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
2.贵州省疾病预防控制中心慢性病防治研究所)]), AuthorCompany(id=1241022952913826142, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, xref=3., ext=[AuthorCompanyExt(id=1241022952918020447, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, companyId=1241022952913826142, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
3.贵州医科大学公共卫生与健康学院,环境污染与疾病监控教育部重点实验室)])], figs=[ArticleFig(id=1241022958752297718, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=EN, label=Fig.1, caption=
Flowchart of the research process, figureFileSmall=d9sEmTNBn9dTRuFkb8CgrQ==, figureFileBig=E/g5LqH5GO4oNd5QrdcZbg==, tableContent=null), ArticleFig(id=1241022960266441471, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=CN, label=图1, caption=
本研究流程图, figureFileSmall=d9sEmTNBn9dTRuFkb8CgrQ==, figureFileBig=E/g5LqH5GO4oNd5QrdcZbg==, tableContent=null), ArticleFig(id=1241022960597791508, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=EN, label=Fig.2, caption=
Subgroup analysis of the association between PHQ-9 scores and all-cause mortality and cardiovascular mortality in patients with multimorbidities, figureFileSmall=eHdlw3pQuwIj1tSJrcxX7w==, figureFileBig=z5UyMqtETRN62wc1DRtoAQ==, tableContent=null), ArticleFig(id=1241022960757175073, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=CN, label=图2, caption=
PHQ-9得分与共病患者全因死亡和心脑血管死亡的亚组分析注:调整变量与前文COX回归分析中模型3一致;HR:hazard ratio。
, figureFileSmall=eHdlw3pQuwIj1tSJrcxX7w==, figureFileBig=z5UyMqtETRN62wc1DRtoAQ==, tableContent=null), ArticleFig(id=1241022960887198506, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=EN, label=Fig.3, caption=
Dose-response relationship between baseline PHQ-9 scores and all-cause and cardiovascular-cerebrovascular mortality in patients with multimorbidity, figureFileSmall=TQ1mbMXGYA8/T//NCIN+Tw==, figureFileBig=tMpUrxlQdHWQbu1+W82Ilw==, tableContent=null), ArticleFig(id=1241022961071747890, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=CN, label=图3, caption=
基线PHQ-9得分与共病患者全因死亡和心脑血管死亡之间的剂量反应关系注:(A)(B)(C)分别代表全因死亡总人群、城市、农村剂量反应关系;(D)(E)(F)分别代表心脑血管疾病死亡总人群、城市、农村剂量反应关系;调整调整变量与前文COX回归分析中模型3一致;HR:hazard ratio。
, figureFileSmall=TQ1mbMXGYA8/T//NCIN+Tw==, figureFileBig=tMpUrxlQdHWQbu1+W82Ilw==, tableContent=null), ArticleFig(id=1241022961168216889, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=EN, label=Fig.4, caption=
Sensibility analysis, figureFileSmall=AxoU+7vqTxV7yrqZopf4KQ==, figureFileBig=9pNkeDsQs0IvcBnZAUNe3Q==, tableContent=null), ArticleFig(id=1241022961302434628, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=CN, label=图4, caption=
敏感性分析注:(A)改变食盐摄入量(从5 g/d到6 g/d);(B)增加调整变量水产品摄入不足,HR:hazard ratio。
, figureFileSmall=AxoU+7vqTxV7yrqZopf4KQ==, figureFileBig=9pNkeDsQs0IvcBnZAUNe3Q==, tableContent=null), ArticleFig(id=1241022961407292237, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=EN, label=Table 1, caption=
Basic characteristics of survival status in multimorbidity patients[n(%)]
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 总体(n=2 368) | 全因死亡 | χ2值 | P值 |
|---|
| 生存(n=2 121) | 死亡(n=247) |
|---|
| 年龄(岁) | 52.00(41.39,62.00) | 65.34(56.42,72.21) | 49.44(40.48,60.19) | -13.525 | <0.001 |
| 城乡 | | | | 0.701 | 0.403 |
| 城市 | 731(30.90) | 649(30.60) | 82(33.20) | | |
| 农村 | 1 637(69.10) | 1 472(69.40) | 165(66.80) | | |
| 性别 | | | | 6.272 | 0.012 |
| 男 | 1 202(50.80) | 1 058(49.90) | 144(58.30) | | |
| 女 | 1 166(49.20) | 1 063(50.10) | 103(41.70) | | |
| 民族 | | | | 0.304 | 0.581 |
| 少数民族 | 901(38.00) | 811(38.20) | 90(36.40) | | |
| 汉族 | 1 467(62.00) | 1 310(61.80) | 157(63.60) | | |
| 教育水平 | | | | 16.916 | <0.001 |
| 初中及以下 | 2 042(86.20) | 1 808(85.20) | 234(94.70) | | |
| 高中中专 | 229(9.70) | 219(10.30) | 10(4.00) | | |
| 大专及以上 | 97(4.10) | 94(4.40) | 3(1.20) | | |
| 吸烟 | | | | 8.54 | 0.003 |
| 否 | 1 631(68.90) | 1 481(69.80) | 150(60.70) | | |
| 是 | 737(31.10) | 640(30.20) | 97(39.30) | | |
| 有害饮酒 | | | | 3.547 | 0.060 |
| 否 | 2 291(96.70) | 2 057(97.00) | 234(94.70) | | |
| 是 | 77(3.30) | 64(3.00) | 13(5.30) | | |
| 静态时间<4 h/d | | | | 0.141 | 0.707 |
| 否 | 1 340(56.60) | 1 203(56.70) | 137(55.50) | | |
| 是 | 1 028(43.40) | 918(43.30) | 110(44.50) | | |
| 食盐摄入量<5 g/d | | | | 4.536 | 0.033 |
| 否 | 1 999(84.40) | 1 779(83.90) | 220(89.10) | | |
| 是 | 369(15.60) | 342(16.10) | 27(10.90) | | |
| 烹饪油摄入量<25 g/da | | | | 0.924 | 0.336 |
| 否 | 1 677(71.70) | 1 495(71.40) | 182(74.30) | | |
| 是 | 663(28.30) | 600(28.60) | 63(25.70) | | |
| 7 h/d<睡眠时间<9 h/d | | | | 25.75 | <0.001 |
| 否 | 646(27.30) | 545(25.70) | 101(40.90) | | |
| 是 | 1 722(72.70) | 1 576(74.30) | 146(59.10) | | |
| 蔬菜摄入量≥300 g/da | | | | 0.961 | 0.327 |
| 否 | 789(34.20) | 699(33.90) | 90(37.00) | | |
| 是 | 1 517(65.80) | 1 364(66.10) | 153(63.00) | | |
| 水果摄入量≥200 g/da | | | | 1.133 | 0.287 |
| 否 | 2 201(94.00) | 1 967(93.80) | 234(95.50) | | |
| 是 | 141(6.00) | 130(6.20) | 11(4.50) | | |
| 300 g/w<鱼虾摄入量<500 g/wa | | | | 1.707 | 0.191 |
| 否 | 2 312(98.10) | 2 071(98.00) | 241(99.20) | | |
| 是 | 45(1.90) | 43(2.00) | 2(0.80) | | |
| BMI分级 | | | | 45.33 | <0.001 |
| 轻体重 | 72(3.00) | 52(2.50) | 20(8.10) | | |
| 正常 | 979(41.30) | 854(40.30) | 125(50.60) | | |
| 超重 | 766(32.30) | 693(32.70) | 73(29.60) | | |
| 肥胖 | 551(23.30) | 522(24.60) | 29(11.70) | | |
| 抑郁症状 | | | | 13.545 | <0.001 |
| 无抑郁 | 2 190(92.50) | 1 976(93.20) | 214(86.60) | | |
| 抑郁 | 178(7.50) | 145(6.80) | 33(13.40) | | |
| PHQ-9得分 | 0.00(0.00,1.00) | 0.00(0.00,1.00) | 0.00(0.00,2.00) | -3.395 | 0.001 |
| 变量 | 总体(n=2 368) | 心脑血管疾病死亡 | χ2值 | P值 |
| 生存+非心脑血管死亡(n=2 258) | 心脑血管死亡(n=110) |
| 年龄(岁) | 52.00(41.39,62.00) | 51.00(41.00,61.00) | 68.23(59.63,73.18) | -10.793 | <0.001 |
| 城乡 | | | | 0.00 | 0.993 |
| 城市 | 731(30.90) | 697(30.90) | 34(30.90) | | |
| 农村 | 1 637(69.10) | 1 561(69.10) | 76(69.10) | | |
| 性别 | | | | 0.382 | 0.537 |
| 男 | 1 202(50.80) | 1 143(50.60) | 59(53.60) | | |
| 女 | 1 166(49.20) | 1 115(49.40) | 51(46.40) | | |
| 民族 | | | | 1.386 | 0.239 |
| 少数民族 | 901(38.00) | 865(38.30) | 36(32.70) | | |
| 汉族 | 1 467(62.00) | 1 393(61.70) | 74(67.30) | | |
| 教育水平 | | | | 9.984 | 0.007 |
| 初中及以下 | 2 042(86.20) | 1 936(85.70) | 106(96.40) | | |
| 高中中专 | 229(9.70) | 226(10.00) | 3(2.70) | | |
| 大专及以上 | 97(4.10) | 96(4.30) | 1(0.90) | | |
| 吸烟 | | | | 0.026 | 0.872 |
| 否 | 1 631(68.90) | 1 556(68.90) | 75(68.20) | | |
| 是 | 737(31.10) | 702(31.10) | 35(31.80) | | |
| 有害饮酒 | | | | 0.614 | 0.433 |
| 否 | 2 291(96.70) | 2 186(96.80) | 105(95.50) | | |
| 是 | 77(3.30) | 72(3.20) | 5(4.50) | | |
| 静态时间<4 h/d | | | | 1.514 | 0.218 |
| 否 | 1 340(56.60) | 1 284(56.90) | 56(50.90) | | |
| 是 | 1 028(43.40) | 974(43.10) | 54(49.10) | | |
| 食盐摄入量<5 g/d | | | | 1.243 | 0.265 |
| 否 | 1 999(84.40) | 1 902(84.20) | 97(88.20) | | |
| 是 | 369(15.60) | 356(15.80) | 13(11.80) | | |
| 烹饪油摄入量<25 g/da | | | | 0.221 | 0.639 |
| 否 | 1 677(71.70) | 1 596(71.60) | 81(73.60) | | |
| 是 | 663(28.30) | 634(28.40) | 29(26.40) | | |
| 7 h/d<睡眠时间<9 h/d | | | | 9.408 | 0.002 |
| 否 | 646(27.30) | 602(26.70) | 44(40.00) | | |
| 是 | 1 722(72.70) | 1 656(73.30) | 66(60.00) | | |
| 蔬菜摄入量≥300 g/da | | | | 0.181 | 0.671 |
| 否 | 789(34.20) | 750(34.10) | 39(36.10) | | |
| 是 | 1 517(65.80) | 1 448(65.90) | 69(63.90) | | |
| 水果摄入量≥200 g/da | | | | 0.054 | 0.817 |
| 否 | 2 201(94.00) | 2 098(94.00) | 103(94.50) | | |
| 是 | 141(6.00) | 135(6.00) | 6(5.50) | | |
| 300 g/w<鱼虾摄入量<500 g/wa | | | | 2.203 | 0.138 |
| 否 | 2 312(98.10) | 2 204(98.00) | 108(100.00) | | |
| 是 | 45(1.90) | 45(2.00) | 0(0.00) | | |
| BMI分级 | | | | 27.748 | <0.001 |
| 轻体重 | 72(3.00) | 61(2.70) | 11(10.00) | | |
| 正常 | 979(41.30) | 929(41.10) | 50(45.50) | | |
| 超重 | 766(32.30) | 728(32.20) | 38(34.50) | | |
| 肥胖 | 551(23.30) | 540(23.90) | 11(10.00) | | |
| 抑郁症状 | | | | 10.455 | 0.001 |
| 无抑郁 | 2 190(92.50) | 2 097(92.90) | 93(84.50) | | |
| 抑郁 | 178(7.50) | 161(7.10) | 17(15.50) | | |
| PHQ-9得分 | 0.00(0.00,1.00) | 0.00(0.00,1.00) | 0.00(0.00,2.00) | -2.305 | 0.021 |
), ArticleFig(id=1241022961520538452, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=CN, label=表1, caption=
共病患者生存状态的基本特征[n(%)]
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 总体(n=2 368) | 全因死亡 | χ2值 | P值 |
|---|
| 生存(n=2 121) | 死亡(n=247) |
|---|
| 年龄(岁) | 52.00(41.39,62.00) | 65.34(56.42,72.21) | 49.44(40.48,60.19) | -13.525 | <0.001 |
| 城乡 | | | | 0.701 | 0.403 |
| 城市 | 731(30.90) | 649(30.60) | 82(33.20) | | |
| 农村 | 1 637(69.10) | 1 472(69.40) | 165(66.80) | | |
| 性别 | | | | 6.272 | 0.012 |
| 男 | 1 202(50.80) | 1 058(49.90) | 144(58.30) | | |
| 女 | 1 166(49.20) | 1 063(50.10) | 103(41.70) | | |
| 民族 | | | | 0.304 | 0.581 |
| 少数民族 | 901(38.00) | 811(38.20) | 90(36.40) | | |
| 汉族 | 1 467(62.00) | 1 310(61.80) | 157(63.60) | | |
| 教育水平 | | | | 16.916 | <0.001 |
| 初中及以下 | 2 042(86.20) | 1 808(85.20) | 234(94.70) | | |
| 高中中专 | 229(9.70) | 219(10.30) | 10(4.00) | | |
| 大专及以上 | 97(4.10) | 94(4.40) | 3(1.20) | | |
| 吸烟 | | | | 8.54 | 0.003 |
| 否 | 1 631(68.90) | 1 481(69.80) | 150(60.70) | | |
| 是 | 737(31.10) | 640(30.20) | 97(39.30) | | |
| 有害饮酒 | | | | 3.547 | 0.060 |
| 否 | 2 291(96.70) | 2 057(97.00) | 234(94.70) | | |
| 是 | 77(3.30) | 64(3.00) | 13(5.30) | | |
| 静态时间<4 h/d | | | | 0.141 | 0.707 |
| 否 | 1 340(56.60) | 1 203(56.70) | 137(55.50) | | |
| 是 | 1 028(43.40) | 918(43.30) | 110(44.50) | | |
| 食盐摄入量<5 g/d | | | | 4.536 | 0.033 |
| 否 | 1 999(84.40) | 1 779(83.90) | 220(89.10) | | |
| 是 | 369(15.60) | 342(16.10) | 27(10.90) | | |
| 烹饪油摄入量<25 g/da | | | | 0.924 | 0.336 |
| 否 | 1 677(71.70) | 1 495(71.40) | 182(74.30) | | |
| 是 | 663(28.30) | 600(28.60) | 63(25.70) | | |
| 7 h/d<睡眠时间<9 h/d | | | | 25.75 | <0.001 |
| 否 | 646(27.30) | 545(25.70) | 101(40.90) | | |
| 是 | 1 722(72.70) | 1 576(74.30) | 146(59.10) | | |
| 蔬菜摄入量≥300 g/da | | | | 0.961 | 0.327 |
| 否 | 789(34.20) | 699(33.90) | 90(37.00) | | |
| 是 | 1 517(65.80) | 1 364(66.10) | 153(63.00) | | |
| 水果摄入量≥200 g/da | | | | 1.133 | 0.287 |
| 否 | 2 201(94.00) | 1 967(93.80) | 234(95.50) | | |
| 是 | 141(6.00) | 130(6.20) | 11(4.50) | | |
| 300 g/w<鱼虾摄入量<500 g/wa | | | | 1.707 | 0.191 |
| 否 | 2 312(98.10) | 2 071(98.00) | 241(99.20) | | |
| 是 | 45(1.90) | 43(2.00) | 2(0.80) | | |
| BMI分级 | | | | 45.33 | <0.001 |
| 轻体重 | 72(3.00) | 52(2.50) | 20(8.10) | | |
| 正常 | 979(41.30) | 854(40.30) | 125(50.60) | | |
| 超重 | 766(32.30) | 693(32.70) | 73(29.60) | | |
| 肥胖 | 551(23.30) | 522(24.60) | 29(11.70) | | |
| 抑郁症状 | | | | 13.545 | <0.001 |
| 无抑郁 | 2 190(92.50) | 1 976(93.20) | 214(86.60) | | |
| 抑郁 | 178(7.50) | 145(6.80) | 33(13.40) | | |
| PHQ-9得分 | 0.00(0.00,1.00) | 0.00(0.00,1.00) | 0.00(0.00,2.00) | -3.395 | 0.001 |
| 变量 | 总体(n=2 368) | 心脑血管疾病死亡 | χ2值 | P值 |
| 生存+非心脑血管死亡(n=2 258) | 心脑血管死亡(n=110) |
| 年龄(岁) | 52.00(41.39,62.00) | 51.00(41.00,61.00) | 68.23(59.63,73.18) | -10.793 | <0.001 |
| 城乡 | | | | 0.00 | 0.993 |
| 城市 | 731(30.90) | 697(30.90) | 34(30.90) | | |
| 农村 | 1 637(69.10) | 1 561(69.10) | 76(69.10) | | |
| 性别 | | | | 0.382 | 0.537 |
| 男 | 1 202(50.80) | 1 143(50.60) | 59(53.60) | | |
| 女 | 1 166(49.20) | 1 115(49.40) | 51(46.40) | | |
| 民族 | | | | 1.386 | 0.239 |
| 少数民族 | 901(38.00) | 865(38.30) | 36(32.70) | | |
| 汉族 | 1 467(62.00) | 1 393(61.70) | 74(67.30) | | |
| 教育水平 | | | | 9.984 | 0.007 |
| 初中及以下 | 2 042(86.20) | 1 936(85.70) | 106(96.40) | | |
| 高中中专 | 229(9.70) | 226(10.00) | 3(2.70) | | |
| 大专及以上 | 97(4.10) | 96(4.30) | 1(0.90) | | |
| 吸烟 | | | | 0.026 | 0.872 |
| 否 | 1 631(68.90) | 1 556(68.90) | 75(68.20) | | |
| 是 | 737(31.10) | 702(31.10) | 35(31.80) | | |
| 有害饮酒 | | | | 0.614 | 0.433 |
| 否 | 2 291(96.70) | 2 186(96.80) | 105(95.50) | | |
| 是 | 77(3.30) | 72(3.20) | 5(4.50) | | |
| 静态时间<4 h/d | | | | 1.514 | 0.218 |
| 否 | 1 340(56.60) | 1 284(56.90) | 56(50.90) | | |
| 是 | 1 028(43.40) | 974(43.10) | 54(49.10) | | |
| 食盐摄入量<5 g/d | | | | 1.243 | 0.265 |
| 否 | 1 999(84.40) | 1 902(84.20) | 97(88.20) | | |
| 是 | 369(15.60) | 356(15.80) | 13(11.80) | | |
| 烹饪油摄入量<25 g/da | | | | 0.221 | 0.639 |
| 否 | 1 677(71.70) | 1 596(71.60) | 81(73.60) | | |
| 是 | 663(28.30) | 634(28.40) | 29(26.40) | | |
| 7 h/d<睡眠时间<9 h/d | | | | 9.408 | 0.002 |
| 否 | 646(27.30) | 602(26.70) | 44(40.00) | | |
| 是 | 1 722(72.70) | 1 656(73.30) | 66(60.00) | | |
| 蔬菜摄入量≥300 g/da | | | | 0.181 | 0.671 |
| 否 | 789(34.20) | 750(34.10) | 39(36.10) | | |
| 是 | 1 517(65.80) | 1 448(65.90) | 69(63.90) | | |
| 水果摄入量≥200 g/da | | | | 0.054 | 0.817 |
| 否 | 2 201(94.00) | 2 098(94.00) | 103(94.50) | | |
| 是 | 141(6.00) | 135(6.00) | 6(5.50) | | |
| 300 g/w<鱼虾摄入量<500 g/wa | | | | 2.203 | 0.138 |
| 否 | 2 312(98.10) | 2 204(98.00) | 108(100.00) | | |
| 是 | 45(1.90) | 45(2.00) | 0(0.00) | | |
| BMI分级 | | | | 27.748 | <0.001 |
| 轻体重 | 72(3.00) | 61(2.70) | 11(10.00) | | |
| 正常 | 979(41.30) | 929(41.10) | 50(45.50) | | |
| 超重 | 766(32.30) | 728(32.20) | 38(34.50) | | |
| 肥胖 | 551(23.30) | 540(23.90) | 11(10.00) | | |
| 抑郁症状 | | | | 10.455 | 0.001 |
| 无抑郁 | 2 190(92.50) | 2 097(92.90) | 93(84.50) | | |
| 抑郁 | 178(7.50) | 161(7.10) | 17(15.50) | | |
| PHQ-9得分 | 0.00(0.00,1.00) | 0.00(0.00,1.00) | 0.00(0.00,2.00) | -2.305 | 0.021 |
), ArticleFig(id=1241022961684116314, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=EN, label=Table 2, caption=
The relationship between depressive symptoms and survival in multimorbidity patients
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| 特征 | 死亡例数(人) | 死亡密度/1 000人年 | HR(95% CI) |
|---|
| 模型1 | P值 | 模型2 | P值 | 模型3 | P值 |
|---|
| 全因死亡 | | | | | | | | |
| PHQ-9得分 | 247 | 8.90 | 1.101(1.058~1.146) | <0.001 | 1.078(1.034~1.123) | <0.001 | 1.060(1.014~1.107) | 0.010 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 214 | 8.30 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 33 | 16.73 | 2.054(1.424~2.965) | <0.001 | 1.843(1.274~2.666) | 0.001 | 1.665(1.135~2.444) | 0.009 |
| P趋势 | | | | <0.001 | | 0.001 | | 0.009 |
| 心脑血管死亡 | | | | | | | | |
| PHQ-9得分 | 110 | 3.96 | 1.111(1.049~1.177) | <0.001 | 1.079(1.016~1.147) | <0.001 | 1.072(1.005~1.144) | 0.036 |
| PHQ-9 分组 | | | | | | | | |
| 无抑郁 | 93 | 3.61 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 17 | 8.62 | 2.456(1.464~4.121) | 0.001 | 2.082(1.236~3.507) | 0.006 | 2.090(1.216~3.594) | 0.008 |
| P趋势 | | | | 0.001 | | 0.006 | | 0.008 |
), ArticleFig(id=1241022961797362528, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=CN, label=表2, caption=
抑郁症状与共病患者生存之间的关系
, figureFileSmall=null, figureFileBig=null, tableContent=
| 特征 | 死亡例数(人) | 死亡密度/1 000人年 | HR(95% CI) |
|---|
| 模型1 | P值 | 模型2 | P值 | 模型3 | P值 |
|---|
| 全因死亡 | | | | | | | | |
| PHQ-9得分 | 247 | 8.90 | 1.101(1.058~1.146) | <0.001 | 1.078(1.034~1.123) | <0.001 | 1.060(1.014~1.107) | 0.010 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 214 | 8.30 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 33 | 16.73 | 2.054(1.424~2.965) | <0.001 | 1.843(1.274~2.666) | 0.001 | 1.665(1.135~2.444) | 0.009 |
| P趋势 | | | | <0.001 | | 0.001 | | 0.009 |
| 心脑血管死亡 | | | | | | | | |
| PHQ-9得分 | 110 | 3.96 | 1.111(1.049~1.177) | <0.001 | 1.079(1.016~1.147) | <0.001 | 1.072(1.005~1.144) | 0.036 |
| PHQ-9 分组 | | | | | | | | |
| 无抑郁 | 93 | 3.61 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 17 | 8.62 | 2.456(1.464~4.121) | 0.001 | 2.082(1.236~3.507) | 0.006 | 2.090(1.216~3.594) | 0.008 |
| P趋势 | | | | 0.001 | | 0.006 | | 0.008 |
), ArticleFig(id=1241022961927385957, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=EN, label=Table 3, caption=
COX regression of the association between different urban-rural PHQ-9 scores and all-cause mortality and cardiovascular mortality risk in multicomorbidity patients
, figureFileSmall=null, figureFileBig=null, tableContent=
| 城乡 | 死亡人数 | 死亡密度/1 000人年 | HR(95% CI) |
|---|
| 模型1 | P值 | 模型2 | P值 | 模型3 | P值 |
|---|
| 城市 | | | | | | | | |
| 全因死亡 | | | | | | | | |
| PHQ-9得分 | 82 | 9.79 | 1.015(0.942~1.094) | 0.689 | 1.007(0.933~1.086) | 0.861 | 0.986(0.910~1.069) | 0.738 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 70 | 9.65 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 12 | 10.66 | 1.109(0.601~2.046) | 0.741 | 1.166(0.630~2.159) | 0.624 | 1.060(0.559~2.011) | 0.857 |
| P趋势 | | | | 0.741 | | 0.624 | | 0.857 |
| 心脑血管死亡 | | | | | | | | |
| PHQ-9 score | 34 | 4.10 | 1.035(0.928~1.153) | 0.537 | 0.879(0.447~1.728) | 0.708 | 1.035(0.915~1.170) | 0.585 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 29 | 4.00 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 5 | 4.44 | 1.118(0.433~2.890) | 0.818 | 1.117(0.430~2.903) | 0.820 | 1.293(0.48~3.484) | 0.612 |
| P趋势 | | | | 0.818 | | 0.820 | | 0.612 |
| 农村 | | | | | | | | |
| 全因死亡 | | | | | | | | |
| PHQ-9 score | 165 | 8.51 | 1.170(1.114~1.229) | <0.001 | 1.134(1.078~1.193) | <0.001 | 1.130(1.072~1.190) | <0.001 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 144 | 7.77 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 21 | 24.81 | 3.336(2.109~5.275) | <0.001 | 2.646(1.666~4.202) | <0.001 | 2.637(1.639~4.243) | <0.001 |
| P趋势 | | | | <0.001 | | <0.001 | | <0.001 |
| 心脑血管死亡 | | | | | | | | |
| PHQ-9 score | 76 | 3.92 | 1.178(1.097~1.265) | <0.001 | 1.131(1.051~1.218) | 0.001 | 1.118(1.038~1.204) | 0.003 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 64 | 3.45 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 12 | 14.17 | 4.322(2.331~8.016) | <0.001 | 3.174(1.699~5.930) | <0.001 | 3.207(1.686~6.101) | <0.001 |
| P趋势 | | | | <0.001 | | <0.001 | | <0.001 |
), ArticleFig(id=1241022962015466349, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241022948719521887, language=CN, label=表3, caption=
不同城乡PHQ-9与共病患者全因死亡、心脑血管死亡风险的COX回归
, figureFileSmall=null, figureFileBig=null, tableContent=
| 城乡 | 死亡人数 | 死亡密度/1 000人年 | HR(95% CI) |
|---|
| 模型1 | P值 | 模型2 | P值 | 模型3 | P值 |
|---|
| 城市 | | | | | | | | |
| 全因死亡 | | | | | | | | |
| PHQ-9得分 | 82 | 9.79 | 1.015(0.942~1.094) | 0.689 | 1.007(0.933~1.086) | 0.861 | 0.986(0.910~1.069) | 0.738 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 70 | 9.65 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 12 | 10.66 | 1.109(0.601~2.046) | 0.741 | 1.166(0.630~2.159) | 0.624 | 1.060(0.559~2.011) | 0.857 |
| P趋势 | | | | 0.741 | | 0.624 | | 0.857 |
| 心脑血管死亡 | | | | | | | | |
| PHQ-9 score | 34 | 4.10 | 1.035(0.928~1.153) | 0.537 | 0.879(0.447~1.728) | 0.708 | 1.035(0.915~1.170) | 0.585 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 29 | 4.00 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 5 | 4.44 | 1.118(0.433~2.890) | 0.818 | 1.117(0.430~2.903) | 0.820 | 1.293(0.48~3.484) | 0.612 |
| P趋势 | | | | 0.818 | | 0.820 | | 0.612 |
| 农村 | | | | | | | | |
| 全因死亡 | | | | | | | | |
| PHQ-9 score | 165 | 8.51 | 1.170(1.114~1.229) | <0.001 | 1.134(1.078~1.193) | <0.001 | 1.130(1.072~1.190) | <0.001 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 144 | 7.77 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 21 | 24.81 | 3.336(2.109~5.275) | <0.001 | 2.646(1.666~4.202) | <0.001 | 2.637(1.639~4.243) | <0.001 |
| P趋势 | | | | <0.001 | | <0.001 | | <0.001 |
| 心脑血管死亡 | | | | | | | | |
| PHQ-9 score | 76 | 3.92 | 1.178(1.097~1.265) | <0.001 | 1.131(1.051~1.218) | 0.001 | 1.118(1.038~1.204) | 0.003 |
| PHQ-9分组 | | | | | | | | |
| 无抑郁 | 64 | 3.45 | 1.00 | | 1.00 | | 1.00 | |
| 抑郁 | 12 | 14.17 | 4.322(2.331~8.016) | <0.001 | 3.174(1.699~5.930) | <0.001 | 3.207(1.686~6.101) | <0.001 |
| P趋势 | | | | <0.001 | | <0.001 | | <0.001 |
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