Article(id=1241675638042579649, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241675628051755031, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202405193, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1715529600000, receivedDateStr=2024-05-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773968141326, onlineDateStr=2026-03-20, pubDate=1732464000000, pubDateStr=2024-11-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773968141326, onlineIssueDateStr=2026-03-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773968141326, creator=13701087609, updateTime=1773968141326, updator=13701087609, issue=Issue{id=1241675628051755031, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='22', pageStart='4033', pageEnd='4224', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773968138945, creator=13701087609, updateTime=1773968595676, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241677543783322543, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241675628051755031, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241677543783322544, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241675628051755031, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=4170, endPage=4177, ext={EN=ArticleExt(id=1241675639648998152, articleId=1241675638042579649, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Analysis of the correlation between cardiovascular-metabolic co-morbidities and different types of activities of daily living abilities in Chinese middle-aged and elderly people, columnId=1228016572451718132, journalTitle=Modern Preventive Medicine, columnName=Health and Social Behavior, runingTitle=null, highlight=null, articleAbstract=
Objective

To analyze the relationship between cardiovascular-metabolic complications andbasic activity of daily living(BADL) and instrumental activities of daily living (IADL) in Chinese middle-aged and elderly individuals, and to explore the factors influencing different types of ADLs in this demographic with cardiovascular-metabolic complications.

Methods

The effects of cardiovascular-metabolic co-morbidities on ADLs among middle-aged and elderly individuals were investigated using the χ2 test and logistic regression model in a sample of individuals aged 45 and older from the 2020 China Health and Elderly Care Tracking Survey.A randomized forest prediction model was developed to investigate the influencing factors of different types of activities of daily living in middle-aged and elderly people with cardiovascular-metabolic co-morbidities, and to predict the importance of each influencing factor.

Results

Among China’s middle-aged and elderly population, 19.75% had at least one cardiovascular metabolic disease (CMD), and 4.18% had cardiovascular metabolic co-morbidities (CMM). The prevalence of BADL impairment was 15.90%, and that of IADL impairment was 17.32%.After adjusting for confounding factors like age and sex, middle-aged and older adults with cardiovascular metabolic co-morbidities had a higher risk of developing impaired ADLs compared to their counterparts without these co-morbidities (BADL: OR=1.662, 95% CI: 1.246-2.216; IADL: OR=2.186, 95% CI: 1.663-2.874).Age, depression, pain distress, life satisfaction, literacy, and participation in social activities were predictive of impaired BADL and IADL in older adults with multiple cardiovascular-metabolic co-morbidities, with good predictive modeling (BADL: AUC=0.804; IADL: AUC=0.761).

Conclusion

Middle-aged and older adults with multiple cardiovascular-metabolic co-morbidities are more likely to experience impairments in ADLs. Healthcare providers should consider the specific conditions and risk factors of this demographic and develop personalized, multidimensional intervention programs focusing on mental health, pain and chronic disease management, and life satisfaction enhancement to prevent ADL decline in those with cardiovascular-metabolic co-morbidities.

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目的

分析中国中老年人心血管代谢性共病与基本日常生活自理能力(basic activity of daily living,BADL)和工具性日常生活能力 (instrumental activity of daily living,IADL)的关系,深入探讨有心血管代谢性共病的中老年人不同类型日常生活活动能力的影响因素。

方法

选取 2020中国健康与养老追踪调查(CHARLS)数据库中45岁及以上中老年人,运用χ2检验和logistic回归分析模型探索中老年人心血管代谢性共病对不同类型日常生活能力的影响。建立随机森林预测模型,探究影响中老年患有心血管代谢性共病者不同类型日常生活活动能力的主要影响因素,并预测各影响因素的重要性。

结果

在中国的中老年人群中,有19.75%至少存在一种心血管代谢性疾病(CMD),其中4.18%患有心血管代谢性共病(CMM)。BADL受损率为15.90%; IADL受损率为17.32%。在控制年龄、性别等混杂因素后,与无心血管代谢性共病的中老年人相比,患有心血管代谢性共病中老年人出现不同类型日常生活活动能力受损的风险更高,BADL(OR=1.662,95% CI: 1.246~2.216)、IADL(OR=2.186, 95% CI:1.663~2.874)。年龄、抑郁、疼痛困扰、生活满意度、文化程度、社交活动参与等对患有心血管代谢性共病中老年人BADL和IADL受损均具有预测作用,其预测模型效果良好(BADL:AUC=0.804;IADL:AUC=0.761)。

结论

患多种心血管代谢性共病的中老年人出现不同类型日常生活能力受损的可能性较高。临床应结合中老年人具体情况及危险因素,从心理健康关怀、疼痛及慢性病管理、提升生活满意度等影响因素制定个性化和多维度的干预方案,预防心血管代谢性共病中老年人的日常生活活动能力下降。

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王佳琳,E-mail:
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夏颖(1999—),女,硕士在读,研究方向:老年护理

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夏颖(1999—),女,硕士在读,研究方向:老年护理

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Journal of Affective Disorders, 2023, 335: 75-82., articleTitle=Depressive symptoms and risk of incident cardiometabolic multimorbidity in community-dwelling older adults: The China Health and Retirement Longitudinal Study, refAbstract=null), Reference(id=1241826545115922633, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, doi=null, pmid=null, pmcid=null, year=2023, volume=5, issue=16, pageStart=358, pageEnd=364, url=null, language=null, rfNumber=[21], rfOrder=24, authorNames=Ren ZY, Zhao YH, Niu GY, journalName=China CDC Weekly, refType=null, unstructuredReference=Ren ZY, Zhao YH, Niu GY, et al. Healthy lifestyles and chronic pain with new-onset metabolic-related multimorbidity among older adults - China, 2011-2018[J]. China CDC Weekly, 2023, 5(16): 358-364., articleTitle=Healthy lifestyles and chronic pain with new-onset metabolic-related multimorbidity among older adults - China, 2011-2018, refAbstract=null), Reference(id=1241826545195614416, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, doi=null, pmid=null, pmcid=null, year=2018, volume=15, issue=9, pageStart=505, pageEnd=522, url=null, language=null, rfNumber=[22], rfOrder=25, authorNames=Ferrucci L, Fabbri E, journalName=Nature Reviews Cardiology, refType=null, unstructuredReference=Ferrucci L, Fabbri E. Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty[J]. Nature Reviews Cardiology, 2018, 15(9): 505-522., articleTitle=Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty, refAbstract=null), Reference(id=1241826546701369558, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, doi=null, pmid=null, pmcid=null, year=2015, volume=6, issue=3, pageStart=456, pageEnd=480, url=null, language=null, rfNumber=[23], rfOrder=26, authorNames=Tangvarasittichai S, journalName=World Journal of Diabetes, refType=null, unstructuredReference=Tangvarasittichai S. Oxidative stress, insulin resistance, dyslipidemia and type 2 diabetes mellitus[J]. World Journal of Diabetes, 2015, 6(3): 456-480., articleTitle=Oxidative stress, insulin resistance, dyslipidemia and type 2 diabetes mellitus, refAbstract=null)], funds=[Fund(id=1241826540200199129, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, awardId=2023NSFSC0513, language=CN, fundingSource=四川省自然科学基金(2023NSFSC0513), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241826531127919144, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, xref=1., ext=[AuthorCompanyExt(id=1241826531136307755, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, companyId=1241826531127919144, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China), AuthorCompanyExt(id=1241826531144696363, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, companyId=1241826531127919144, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.成都中医药大学护理学院,四川 成都 610075)]), AuthorCompany(id=1241826531232776754, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, xref=2., ext=[AuthorCompanyExt(id=1241826531236971058, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, companyId=1241826531232776754, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.四川绵阳三台县人民医院 重症医学科)])], figs=[ArticleFig(id=1241826538220487492, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=EN, label=Fig.1, caption=ROC curves for the RF model of impaired BADL in middle-aged and older adults with cardiovascular-metabolic co-morbidities, figureFileSmall=q1H/hxZSV0cz9cZ73CExrg==, figureFileBig=b1OkXXQxMWSE4UQU8Zkcnw==, tableContent=null), ArticleFig(id=1241826538342122315, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=CN, label=图1, caption=患有心血管代谢性共病中老年人BADL受损RF模型的ROC曲线, figureFileSmall=q1H/hxZSV0cz9cZ73CExrg==, figureFileBig=b1OkXXQxMWSE4UQU8Zkcnw==, tableContent=null), ArticleFig(id=1241826538539254613, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=EN, label=Fig.2, caption=ROC curves for the RF model of impaired IADL in middle-aged and older adults with cardiovascular-metabolic co-morbidities, figureFileSmall=TGq+cebuD3ODjFcjmP8YuA==, figureFileBig=2/C4+/9ob7GLBHZdqExraA==, tableContent=null), ArticleFig(id=1241826538690249568, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=CN, label=图2, caption=患有心血管代谢性共病中老年人IADL受损RF模型的ROC曲线, figureFileSmall=TGq+cebuD3ODjFcjmP8YuA==, figureFileBig=2/C4+/9ob7GLBHZdqExraA==, tableContent=null), ArticleFig(id=1241826538799301483, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=EN, label=Table 1, caption=

Explanation of variable assignment

, figureFileSmall=null, figureFileBig=null, tableContent=
项目赋值情况
BADL受损无BADL受损=0,有BADL受损=1
IADL受损无IADL=0,有IADL=1
年龄(岁)45~59=0,60~74=1,≥75=2
性别男=1,女=2
婚姻状况有配偶=0,无配偶=1
居住地农村=0,城市=1
文化程度文盲=0,小学=1,中学=2,高中及以上=3
睡眠时长(h)≤6 h=0,6~8 h=1,≥8 h=2
慢性病无慢性病=0,有慢性病=1
摔倒无摔倒=0,有摔倒=1
骨折无骨折=0,有骨折=1
疼痛困扰无疼痛困扰=0,有一点疼痛困扰=1,比较多疼痛困扰=2,非常多疼痛困扰=3
生活满意度极其满意=0,非常满意=1,比较满意=2,不太满意=3,非常不满意=4
抑郁无抑郁=0,有抑郁=1
社交活动参与无社交活动参与=0,有社交活动参与=1
高血压无高血压=0,有高血压=1
心脏病无心脏病=0,有心脏病=1
糖尿病无糖尿病=0,有糖尿病=1
脑血管疾病无脑血管疾病=0,有脑血管疾病=1
血脂异常无血脂异常=0,有血脂异常=1
), ArticleFig(id=1241826538920936311, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=CN, label=表1, caption=

变量赋值说明

, figureFileSmall=null, figureFileBig=null, tableContent=
项目赋值情况
BADL受损无BADL受损=0,有BADL受损=1
IADL受损无IADL=0,有IADL=1
年龄(岁)45~59=0,60~74=1,≥75=2
性别男=1,女=2
婚姻状况有配偶=0,无配偶=1
居住地农村=0,城市=1
文化程度文盲=0,小学=1,中学=2,高中及以上=3
睡眠时长(h)≤6 h=0,6~8 h=1,≥8 h=2
慢性病无慢性病=0,有慢性病=1
摔倒无摔倒=0,有摔倒=1
骨折无骨折=0,有骨折=1
疼痛困扰无疼痛困扰=0,有一点疼痛困扰=1,比较多疼痛困扰=2,非常多疼痛困扰=3
生活满意度极其满意=0,非常满意=1,比较满意=2,不太满意=3,非常不满意=4
抑郁无抑郁=0,有抑郁=1
社交活动参与无社交活动参与=0,有社交活动参与=1
高血压无高血压=0,有高血压=1
心脏病无心脏病=0,有心脏病=1
糖尿病无糖尿病=0,有糖尿病=1
脑血管疾病无脑血管疾病=0,有脑血管疾病=1
血脂异常无血脂异常=0,有血脂异常=1
), ArticleFig(id=1241826539042571135, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=EN, label=Table 2, caption=

Basic information on survey respondents[n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量总人数BADL残疾无BADL残疾χ2PIADL残疾无IADL残疾χ2P
年龄组(岁)281.195<0.001449.868<0.001
45~594 490(50.48)471(10.49)4 019(89.51)479(10.67)4 011(89.33)
60~743 594(40.41)684(19.03)2 910(80.97)739(20.56)2 855(79.44)
≥75810(9.11)259(31.98)551(68.02)322(39.75)488(60.25)
性别77.151<0.001105.514<0.001
4 292(48.26)531(12.37)3 716(87.63)560(13.05)3 732(86.95)
4 602(51.74)883(19.19)3 719(80.81)980(21.30)3 622(78.70)
婚姻状况56.928<0.001122.554<0.001
有配偶7 729(86.90)1 141(14.76)6 588(85.24)1 205(15.59)6 524(84.41)
无配偶1 165(13.10)273(23.43)892(76.57)335(28.76)830(71.24)
居住地43.205<0.00153.967<0.001
农村5 641(63.42)1 006(17.83)4 653(82.17)1 103(19.55)4 538(80.45)
城市3 253(36.58)408(12.54)2 845(87.46)437(13.43)2 816(86.57)
文化程度179.786<0.001379.920<0.001
文盲3 387(38.08)759 (22.41)2 628(77.59)915(27.02)2 472(72.98)
小学2 876(32.34)366 (12.73)2 510(87.27)370(12.87)2 506(87.13)
中学1 720(19.34)205 (11.92)1 515(88.08)197(11.45)1 523(88.55)
高中及以上911 (10.24)84 (9.22)827(90.78)58(6.37)853(93.63)
睡眠时长(h)107.545<0.00195.088<0.001
≤65 050(56.78)980(19.41)4 070(80.59)1 040(20.59)4 010(79.41)
>6~<81 789(20.11)200(11.18)1 589(88.82)201(11.24)1 558(88.76)
≥82 055(23.11)234(11.39)1 821(88.61)299(14.55)1 756(85.45)
慢性病284.104<0.001220.505<0.001
4 704(52.89)1 038(22.07)3 666(77.93)1 079(22.94)3 625(77.06)
4 190(47.11)379(8.97)3 814(91.03)461(11.00)3 729(89.00)
摔倒315.316<0.001170.953<0.001
1 265(14.22)415(32.81)850(67.19)382(30.20)883(69.80)
7 629(85.78)999(13.09)6 630(86.91)1 158(15.18)6 471(84.82)
骨折33.545<0.00132.089<0.001
57(0.64)25(43.86)32(56.14)26(45.61)31(54.39)
8 837(99.36)1 389(15.72)7 448(84.28)1 514(17.13)7 323(82.87)
疼痛困扰1 143.920<0.001941.716<0.001
4 200(47.22)271(6.45)3 929(93.55)357(8.50)3 843(91.50)
有一点2 628(29.55)401(15.26)2 227(84.74)419(15.94)2 209(84.06)
有一些824(9.26)175(21.24)649(78.76)208(25.24)616(74.76)
比较多648(7.29)265(40.90)383(59.10)260(40.12)388(59.88)
非常多594(6.68)302(50.84)292(49.16)296(49.83)298(50.17)
生活满意度197.938<0.001189.331<0.001
极其满意433(4.87)48(11.09)385(88.91)59(13.63)374(86.37)
非常满意2 779(31.25)347(12.49)2 432(87.51)421(15.15)2 358(84.85)
比较满意4 790(53.86)738(15.41)4 052(84.59)768(16.03)4 022(83.97)
不太满意664(7.47)201(30.27)463(69.73)194(29.22)470(70.78)
非常不满意228(2.56)80(35.09)148(64.91)98(42.98)130(57.02)
抑郁505.260<0.001539.684<0.001
3 003(33.76)844(28.11)2 159(71.89)912(30.37)2 091(69.63)
5 891(66.24)570(9.68)5 321(90.32)628(10.66)5 263(89.34)
社交活动参与27.991<0.00123.577<0.001
4 335(48.74)3 737(86.21)598(13.79)664(15.32)3 671(84.68)
4 559(51.26)3 743(82.10)816(17.90)876(19.21)3 683(80.79)
高血压23.510<0.00138.713<0.001
843(9.48)183(21.71)660(78.29)211(25.03)632(74.97)
8 051(90.52)1 231(15.29)6 820(84.71)1 329(16.51)6 722(83.49)
心脏病40.745<0.00140.336<0.001
399(4.49)109(27.32)290(72.68)73(25.80)210(74.20)
8 495(95.51)1 305(15.36)7 190(84.64)1 467(17.04)7 144 (82.96)
糖尿病31.569<0.00114.682<0.001
283(3.18)79(27.92)204(72.0850(52.08)46(47.92)
8 611(96.82)1 335(15.50)7 276(84.50)1 490(16.94)7 308(83.06)
脑血管疾病60.593<0.00181.941<0.001
96(1.08)43(44.79)53(55.21)50(52.08)46(47.92)
8 798(98.92)1 371(15.58)7 427(84.42)1 490(16.94)7 308(83.06)
血脂异常24.098<0.00117.927<0.001
8 288(93.19)139(22.94)467(77.06)143(23.60)463(76.40)
606(6.81)1 275(15.38)7 013(84.62)1 397(16.86)6 891(83.14)
), ArticleFig(id=1241826539172594569, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=CN, label=表2, caption=

调查对象基本情况[n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量总人数BADL残疾无BADL残疾χ2PIADL残疾无IADL残疾χ2P
年龄组(岁)281.195<0.001449.868<0.001
45~594 490(50.48)471(10.49)4 019(89.51)479(10.67)4 011(89.33)
60~743 594(40.41)684(19.03)2 910(80.97)739(20.56)2 855(79.44)
≥75810(9.11)259(31.98)551(68.02)322(39.75)488(60.25)
性别77.151<0.001105.514<0.001
4 292(48.26)531(12.37)3 716(87.63)560(13.05)3 732(86.95)
4 602(51.74)883(19.19)3 719(80.81)980(21.30)3 622(78.70)
婚姻状况56.928<0.001122.554<0.001
有配偶7 729(86.90)1 141(14.76)6 588(85.24)1 205(15.59)6 524(84.41)
无配偶1 165(13.10)273(23.43)892(76.57)335(28.76)830(71.24)
居住地43.205<0.00153.967<0.001
农村5 641(63.42)1 006(17.83)4 653(82.17)1 103(19.55)4 538(80.45)
城市3 253(36.58)408(12.54)2 845(87.46)437(13.43)2 816(86.57)
文化程度179.786<0.001379.920<0.001
文盲3 387(38.08)759 (22.41)2 628(77.59)915(27.02)2 472(72.98)
小学2 876(32.34)366 (12.73)2 510(87.27)370(12.87)2 506(87.13)
中学1 720(19.34)205 (11.92)1 515(88.08)197(11.45)1 523(88.55)
高中及以上911 (10.24)84 (9.22)827(90.78)58(6.37)853(93.63)
睡眠时长(h)107.545<0.00195.088<0.001
≤65 050(56.78)980(19.41)4 070(80.59)1 040(20.59)4 010(79.41)
>6~<81 789(20.11)200(11.18)1 589(88.82)201(11.24)1 558(88.76)
≥82 055(23.11)234(11.39)1 821(88.61)299(14.55)1 756(85.45)
慢性病284.104<0.001220.505<0.001
4 704(52.89)1 038(22.07)3 666(77.93)1 079(22.94)3 625(77.06)
4 190(47.11)379(8.97)3 814(91.03)461(11.00)3 729(89.00)
摔倒315.316<0.001170.953<0.001
1 265(14.22)415(32.81)850(67.19)382(30.20)883(69.80)
7 629(85.78)999(13.09)6 630(86.91)1 158(15.18)6 471(84.82)
骨折33.545<0.00132.089<0.001
57(0.64)25(43.86)32(56.14)26(45.61)31(54.39)
8 837(99.36)1 389(15.72)7 448(84.28)1 514(17.13)7 323(82.87)
疼痛困扰1 143.920<0.001941.716<0.001
4 200(47.22)271(6.45)3 929(93.55)357(8.50)3 843(91.50)
有一点2 628(29.55)401(15.26)2 227(84.74)419(15.94)2 209(84.06)
有一些824(9.26)175(21.24)649(78.76)208(25.24)616(74.76)
比较多648(7.29)265(40.90)383(59.10)260(40.12)388(59.88)
非常多594(6.68)302(50.84)292(49.16)296(49.83)298(50.17)
生活满意度197.938<0.001189.331<0.001
极其满意433(4.87)48(11.09)385(88.91)59(13.63)374(86.37)
非常满意2 779(31.25)347(12.49)2 432(87.51)421(15.15)2 358(84.85)
比较满意4 790(53.86)738(15.41)4 052(84.59)768(16.03)4 022(83.97)
不太满意664(7.47)201(30.27)463(69.73)194(29.22)470(70.78)
非常不满意228(2.56)80(35.09)148(64.91)98(42.98)130(57.02)
抑郁505.260<0.001539.684<0.001
3 003(33.76)844(28.11)2 159(71.89)912(30.37)2 091(69.63)
5 891(66.24)570(9.68)5 321(90.32)628(10.66)5 263(89.34)
社交活动参与27.991<0.00123.577<0.001
4 335(48.74)3 737(86.21)598(13.79)664(15.32)3 671(84.68)
4 559(51.26)3 743(82.10)816(17.90)876(19.21)3 683(80.79)
高血压23.510<0.00138.713<0.001
843(9.48)183(21.71)660(78.29)211(25.03)632(74.97)
8 051(90.52)1 231(15.29)6 820(84.71)1 329(16.51)6 722(83.49)
心脏病40.745<0.00140.336<0.001
399(4.49)109(27.32)290(72.68)73(25.80)210(74.20)
8 495(95.51)1 305(15.36)7 190(84.64)1 467(17.04)7 144 (82.96)
糖尿病31.569<0.00114.682<0.001
283(3.18)79(27.92)204(72.0850(52.08)46(47.92)
8 611(96.82)1 335(15.50)7 276(84.50)1 490(16.94)7 308(83.06)
脑血管疾病60.593<0.00181.941<0.001
96(1.08)43(44.79)53(55.21)50(52.08)46(47.92)
8 798(98.92)1 371(15.58)7 427(84.42)1 490(16.94)7 308(83.06)
血脂异常24.098<0.00117.927<0.001
8 288(93.19)139(22.94)467(77.06)143(23.60)463(76.40)
606(6.81)1 275(15.38)7 013(84.62)1 397(16.86)6 891(83.14)
), ArticleFig(id=1241826539298423702, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=EN, label=Table 3, caption=

Logistic regression analysis model for analyzing the relationship between BADL and IADL impairment and sample characteristics

, figureFileSmall=null, figureFileBig=null, tableContent=
变量BADLIADL
校正前OR值(95% CI)校正后OR值(95% CI)校正前OR值 (95% CI)校正后OR值(95% CI)
年龄组(岁)
60~742.006(1.767~2.277)1.970(1.721~2.255)2.167(1.914~2.455)2.005(1.756~2.289)
≥754.011(3.364~4.782)3.984(3.261~4.868)5.525(4.663~6.547)4.943(4.078~5.992)
性别
1.681(1.496~1.890)1.547(1.360~1.761)1.803(1.610~2.020)1.569(1.383~1.779)
婚姻状况
无配偶1.767(1.522~2.052)0.986(0.832~1.169)2.185(1.898~2.516)1.150(0.979~1.350)
居住地
城市0.661(0.584~0.748)0.714(0.624~0.817)0.638(0.566~0.720)0.739(0.648~0.842)
文化程度
小学0.504(0.441~0.579)0.729(0.627~0.847)0.398(0.349~0.456)0.587(0.507~0.678)
中学0.469(0.397~0.553)0.699(0.583~0.839)0.349(0.296~0.413)0.526(0.439~0.630)
高中及以上0.352(0.277~0.446)0.529(0.410~0.685)0.184(0.139~0.242)0.270(0.202~0.361)
睡眠时长(h)
6~80.523(0.444~0.615)0.628(0.530~0.745)0.488(0.415~0.574)0.587(0.495~0.696)
≥80.534(0.458~0.622)0.577(0.491~0.678)0.657(0.571~0.755)0.689(0.593~0.800)
慢性病
2.872(2.531~3.259)1.408(1.219~1.625)2.408(2.139~2.710)1.173(1.023~1.345)
摔倒
3.240(2.831~3.708)2.668(2.312~3.078)2.417(2.111~2.768)1.939(1.675~2.244)
骨折
4.189(2.475~7.091)2.317(1.303~4.120)4.057(2.402~6.852)2.476(1.389~4.417)
疼痛困扰
有一点2.611(2.219~3.072)1.799(1.512~2.143)2.042(1.756~2.374)1.453(1.232~1.713)
有一些3.909(3.177~4.810)2.147(1.709~2.699)3.635(3.006~4.400)2.214(1.786~2.744)
比较多10.031(8.220~12.242)3.821(3.043~4.797)7.213(5.960~8.731)2.919(2.335~3.649)
非常多14.995(12.245~18.361)4.754(3.759~6.013)10.692(8.807~12.981)3.389(2.693~4.266)
生活满意度
非常满意1.144(0.831~1.577)1.044(0.747~1.458)1.132(0.844~1.518)1.007(0.738~1.373)
比较满意1.461(1.071~1.992)1.468(1.062~2.029)1.210(0.910~1.610)1.272(0.941~1.721)
不太满意3.482(2.471~ 4.905)3.088(2.154~4.428)2.617(1.897~3.609)2.381(1.690~3.354)
非常不满意4.336(2.892~ 6.500)3.197(2.084~4.905)4.779(3.269~6.985)3.665(2.441~5.500)
抑郁
3.649(3.245~4.104)1.729(1.504~1.987)3.655(3.263~4.095)1.867(1.632~2.136)
社交活动参与
0.734(0.654~0.823)0.824(0.727~0.935)0.760(0.681~0.850)0.906(0.801~1.023)
), ArticleFig(id=1241826539453612965, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=CN, label=表3, caption=

分析BADL和IADL受损与样本特征之间关系的logistic回归分析模型

, figureFileSmall=null, figureFileBig=null, tableContent=
变量BADLIADL
校正前OR值(95% CI)校正后OR值(95% CI)校正前OR值 (95% CI)校正后OR值(95% CI)
年龄组(岁)
60~742.006(1.767~2.277)1.970(1.721~2.255)2.167(1.914~2.455)2.005(1.756~2.289)
≥754.011(3.364~4.782)3.984(3.261~4.868)5.525(4.663~6.547)4.943(4.078~5.992)
性别
1.681(1.496~1.890)1.547(1.360~1.761)1.803(1.610~2.020)1.569(1.383~1.779)
婚姻状况
无配偶1.767(1.522~2.052)0.986(0.832~1.169)2.185(1.898~2.516)1.150(0.979~1.350)
居住地
城市0.661(0.584~0.748)0.714(0.624~0.817)0.638(0.566~0.720)0.739(0.648~0.842)
文化程度
小学0.504(0.441~0.579)0.729(0.627~0.847)0.398(0.349~0.456)0.587(0.507~0.678)
中学0.469(0.397~0.553)0.699(0.583~0.839)0.349(0.296~0.413)0.526(0.439~0.630)
高中及以上0.352(0.277~0.446)0.529(0.410~0.685)0.184(0.139~0.242)0.270(0.202~0.361)
睡眠时长(h)
6~80.523(0.444~0.615)0.628(0.530~0.745)0.488(0.415~0.574)0.587(0.495~0.696)
≥80.534(0.458~0.622)0.577(0.491~0.678)0.657(0.571~0.755)0.689(0.593~0.800)
慢性病
2.872(2.531~3.259)1.408(1.219~1.625)2.408(2.139~2.710)1.173(1.023~1.345)
摔倒
3.240(2.831~3.708)2.668(2.312~3.078)2.417(2.111~2.768)1.939(1.675~2.244)
骨折
4.189(2.475~7.091)2.317(1.303~4.120)4.057(2.402~6.852)2.476(1.389~4.417)
疼痛困扰
有一点2.611(2.219~3.072)1.799(1.512~2.143)2.042(1.756~2.374)1.453(1.232~1.713)
有一些3.909(3.177~4.810)2.147(1.709~2.699)3.635(3.006~4.400)2.214(1.786~2.744)
比较多10.031(8.220~12.242)3.821(3.043~4.797)7.213(5.960~8.731)2.919(2.335~3.649)
非常多14.995(12.245~18.361)4.754(3.759~6.013)10.692(8.807~12.981)3.389(2.693~4.266)
生活满意度
非常满意1.144(0.831~1.577)1.044(0.747~1.458)1.132(0.844~1.518)1.007(0.738~1.373)
比较满意1.461(1.071~1.992)1.468(1.062~2.029)1.210(0.910~1.610)1.272(0.941~1.721)
不太满意3.482(2.471~ 4.905)3.088(2.154~4.428)2.617(1.897~3.609)2.381(1.690~3.354)
非常不满意4.336(2.892~ 6.500)3.197(2.084~4.905)4.779(3.269~6.985)3.665(2.441~5.500)
抑郁
3.649(3.245~4.104)1.729(1.504~1.987)3.655(3.263~4.095)1.867(1.632~2.136)
社交活动参与
0.734(0.654~0.823)0.824(0.727~0.935)0.760(0.681~0.850)0.906(0.801~1.023)
), ArticleFig(id=1241826539566859181, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=EN, label=Table 4, caption=

Logistic regression analysis of the association of cardiovascular-metabolic co-morbidities with BADL and IADL disability in middle-aged and elderly people

, figureFileSmall=null, figureFileBig=null, tableContent=
疾病数数(占比%)BADL
校正前OR值(95% CI)P校正后OR值 (95% CI)P
1种(与未患病相比)1 385(15.57)1.716(1.486~1.981)<0.001 1.516(1.301~1.767)<0.001
2种(与未患病相比)293(3.29)2.137(1.632~2.798)<0.0011.662(1.246~2.216)0.001
≥2种(与未患病相比)372(4.18)2.399(1.896~3.036)<0.0011.899(1.475~2.445)<0.001
≥3种(与未患病相比)79(0.89)3.539(2.229~5.619)<0.0013.024(1.828~5.003)<0.001
≥4种(与未患病相比)17(0.19)6.864(2.642~17.832)<0.0015.113(1.727~15.124)0.003
疾病数数(占比%)IADL
校正前OR值(95% CI)P校正后OR值 (95% CI)P
1种(与未患病相比)1 385(15.57)1.609(1.397~1.853)<0.0011.419(1.219~1.651)<0.001
2种(与未患病相比)293 (3.29)2.663(2.069~3.427)<0.0012.186(1.663~2.874)<0.001
≥2种(与未患病相比)372(4.18)2.634(2.101~3.303)<0.0012.186(1.710~2.793)<0.001
≥3种(与未患病相比)79(0.89)2.530(1.568~4.082)<0.0012.188(1.304~3.672)<0.001
≥4种(与未患病相比)17(0.19)7.807(2.965~20.553)<0.0016.693(2.288~19.578)<0.001
), ArticleFig(id=1241826539726242738, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=CN, label=表4, caption=

中老年人心血管代谢性共病与BADL和IADL受损关系的logistic回归分析

, figureFileSmall=null, figureFileBig=null, tableContent=
疾病数数(占比%)BADL
校正前OR值(95% CI)P校正后OR值 (95% CI)P
1种(与未患病相比)1 385(15.57)1.716(1.486~1.981)<0.001 1.516(1.301~1.767)<0.001
2种(与未患病相比)293(3.29)2.137(1.632~2.798)<0.0011.662(1.246~2.216)0.001
≥2种(与未患病相比)372(4.18)2.399(1.896~3.036)<0.0011.899(1.475~2.445)<0.001
≥3种(与未患病相比)79(0.89)3.539(2.229~5.619)<0.0013.024(1.828~5.003)<0.001
≥4种(与未患病相比)17(0.19)6.864(2.642~17.832)<0.0015.113(1.727~15.124)0.003
疾病数数(占比%)IADL
校正前OR值(95% CI)P校正后OR值 (95% CI)P
1种(与未患病相比)1 385(15.57)1.609(1.397~1.853)<0.0011.419(1.219~1.651)<0.001
2种(与未患病相比)293 (3.29)2.663(2.069~3.427)<0.0012.186(1.663~2.874)<0.001
≥2种(与未患病相比)372(4.18)2.634(2.101~3.303)<0.0012.186(1.710~2.793)<0.001
≥3种(与未患病相比)79(0.89)2.530(1.568~4.082)<0.0012.188(1.304~3.672)<0.001
≥4种(与未患病相比)17(0.19)7.807(2.965~20.553)<0.0016.693(2.288~19.578)<0.001
), ArticleFig(id=1241826539873043390, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=EN, label=Table 5, caption=

10 important variables of the Random Forest model

, figureFileSmall=null, figureFileBig=null, tableContent=
变量重要性BADLIADL
变量名称平均基尼系数降低变量名称平均基尼系数降低
1年龄9.43年龄10.70
2抑郁9.04抑郁10.03
3疼痛困扰8.91疼痛困扰7.26
4生活满意度2.76生活满意度3.76
5文化程度2.51社交活动参与3.16
6社交活动参与2.12文化程度2.63
7摔倒2.02睡眠时长2.25
8睡眠时长1.86摔倒1.86
9婚姻状况1.45性别1.66
10慢性病1.32婚姻状况1.51
), ArticleFig(id=1241826539973706697, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241675638042579649, language=CN, label=表5, caption=

随机森林模型10 个重要变量

, figureFileSmall=null, figureFileBig=null, tableContent=
变量重要性BADLIADL
变量名称平均基尼系数降低变量名称平均基尼系数降低
1年龄9.43年龄10.70
2抑郁9.04抑郁10.03
3疼痛困扰8.91疼痛困扰7.26
4生活满意度2.76生活满意度3.76
5文化程度2.51社交活动参与3.16
6社交活动参与2.12文化程度2.63
7摔倒2.02睡眠时长2.25
8睡眠时长1.86摔倒1.86
9婚姻状况1.45性别1.66
10慢性病1.32婚姻状况1.51
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中国中老年人心血管代谢性共病与不同类型日常生活活动能力的相关性分析
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夏颖 1 , 王佳琳 1 , 蔚萌 1 , 唐琦 1 , 王丹 2 , 余诗雅 1 , 任黔黔 1 , 冯双双 1
现代预防医学 | 健康与社会行为 2024,51(22): 4170-4177
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现代预防医学 | 健康与社会行为 2024, 51(22): 4170-4177
中国中老年人心血管代谢性共病与不同类型日常生活活动能力的相关性分析
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夏颖1, 王佳琳1 , 蔚萌1, 唐琦1, 王丹2, 余诗雅1, 任黔黔1, 冯双双1
作者信息
  • 1.成都中医药大学护理学院,四川 成都 610075
  • 2.四川绵阳三台县人民医院 重症医学科
  • 夏颖(1999—),女,硕士在读,研究方向:老年护理

通讯作者:

王佳琳,E-mail:
Analysis of the correlation between cardiovascular-metabolic co-morbidities and different types of activities of daily living abilities in Chinese middle-aged and elderly people
Ying XIA1, Jia-lin WANG1 , Meng YU1, Qi TANG1, Dan WANG2, Shi-ya YU1, Qian-qian REN1, Shuang-shuang FENG1
Affiliations
  • School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China
出版时间: 2024-11-25 doi: 10.20043/j.cnki.MPM.202405193
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目的

分析中国中老年人心血管代谢性共病与基本日常生活自理能力(basic activity of daily living,BADL)和工具性日常生活能力 (instrumental activity of daily living,IADL)的关系,深入探讨有心血管代谢性共病的中老年人不同类型日常生活活动能力的影响因素。

方法

选取 2020中国健康与养老追踪调查(CHARLS)数据库中45岁及以上中老年人,运用χ2检验和logistic回归分析模型探索中老年人心血管代谢性共病对不同类型日常生活能力的影响。建立随机森林预测模型,探究影响中老年患有心血管代谢性共病者不同类型日常生活活动能力的主要影响因素,并预测各影响因素的重要性。

结果

在中国的中老年人群中,有19.75%至少存在一种心血管代谢性疾病(CMD),其中4.18%患有心血管代谢性共病(CMM)。BADL受损率为15.90%; IADL受损率为17.32%。在控制年龄、性别等混杂因素后,与无心血管代谢性共病的中老年人相比,患有心血管代谢性共病中老年人出现不同类型日常生活活动能力受损的风险更高,BADL(OR=1.662,95% CI: 1.246~2.216)、IADL(OR=2.186, 95% CI:1.663~2.874)。年龄、抑郁、疼痛困扰、生活满意度、文化程度、社交活动参与等对患有心血管代谢性共病中老年人BADL和IADL受损均具有预测作用,其预测模型效果良好(BADL:AUC=0.804;IADL:AUC=0.761)。

结论

患多种心血管代谢性共病的中老年人出现不同类型日常生活能力受损的可能性较高。临床应结合中老年人具体情况及危险因素,从心理健康关怀、疼痛及慢性病管理、提升生活满意度等影响因素制定个性化和多维度的干预方案,预防心血管代谢性共病中老年人的日常生活活动能力下降。

中老年人  /  心血管代谢性共病  /  日常生活活动能力  /  影响因素  /  随机森林
Objective

To analyze the relationship between cardiovascular-metabolic complications andbasic activity of daily living(BADL) and instrumental activities of daily living (IADL) in Chinese middle-aged and elderly individuals, and to explore the factors influencing different types of ADLs in this demographic with cardiovascular-metabolic complications.

Methods

The effects of cardiovascular-metabolic co-morbidities on ADLs among middle-aged and elderly individuals were investigated using the χ2 test and logistic regression model in a sample of individuals aged 45 and older from the 2020 China Health and Elderly Care Tracking Survey.A randomized forest prediction model was developed to investigate the influencing factors of different types of activities of daily living in middle-aged and elderly people with cardiovascular-metabolic co-morbidities, and to predict the importance of each influencing factor.

Results

Among China’s middle-aged and elderly population, 19.75% had at least one cardiovascular metabolic disease (CMD), and 4.18% had cardiovascular metabolic co-morbidities (CMM). The prevalence of BADL impairment was 15.90%, and that of IADL impairment was 17.32%.After adjusting for confounding factors like age and sex, middle-aged and older adults with cardiovascular metabolic co-morbidities had a higher risk of developing impaired ADLs compared to their counterparts without these co-morbidities (BADL: OR=1.662, 95% CI: 1.246-2.216; IADL: OR=2.186, 95% CI: 1.663-2.874).Age, depression, pain distress, life satisfaction, literacy, and participation in social activities were predictive of impaired BADL and IADL in older adults with multiple cardiovascular-metabolic co-morbidities, with good predictive modeling (BADL: AUC=0.804; IADL: AUC=0.761).

Conclusion

Middle-aged and older adults with multiple cardiovascular-metabolic co-morbidities are more likely to experience impairments in ADLs. Healthcare providers should consider the specific conditions and risk factors of this demographic and develop personalized, multidimensional intervention programs focusing on mental health, pain and chronic disease management, and life satisfaction enhancement to prevent ADL decline in those with cardiovascular-metabolic co-morbidities.

Middle-aged and elderly people  /  Cardiovascular-metabolic co-morbidities  /  Ability to perform activities of daily living  /  Influencing factors  /  Random forests
夏颖, 王佳琳, 蔚萌, 唐琦, 王丹, 余诗雅, 任黔黔, 冯双双. 中国中老年人心血管代谢性共病与不同类型日常生活活动能力的相关性分析. 现代预防医学, 2024 , 51 (22) : 4170 -4177 . DOI: 10.20043/j.cnki.MPM.202405193
Ying XIA, Jia-lin WANG, Meng YU, Qi TANG, Dan WANG, Shi-ya YU, Qian-qian REN, Shuang-shuang FENG. Analysis of the correlation between cardiovascular-metabolic co-morbidities and different types of activities of daily living abilities in Chinese middle-aged and elderly people[J]. Modern Preventive Medicine, 2024 , 51 (22) : 4170 -4177 . DOI: 10.20043/j.cnki.MPM.202405193
我国老龄化趋势严峻,中老年人健康问题备受关注。随着年龄的增长,个体生理功能逐渐衰退,导致慢性疾病逐渐增多,中老年人同时患有多种慢性疾病的情况日益普遍。据统计数据,我国有55.4%的中老年人同时患有2种及以上慢性疾病[1],即共病[2]。在这些慢性疾病中,心血管代谢性共病(CMM)是最为常见的共病模式之一,指的是个体同时患有两种或两种以上的心血管代谢性疾病,例如缺血性心脏病、脑卒中和糖尿病等[3-4]。根据2023年的一项横断面调查显示,CMM在老年人当中的发病率为33.94%[5],同时,研究显示患有CMM的患者死亡风险是未患这些疾病患者的5至10倍[6]。此外,另有研究证明中老年人患心血管共病是发生不同类型日常生活活动能力受损的危险因素[7]。但既往研究多关注心脑血管-代谢整体的模式与日常生活活动能力之间的关系,忽略了不同数量的心血管和代谢性疾病对不同类型日常生活活动能力的叠加效应。
因此,为了更有效地管理中老年心血管代谢性共病导致的基本日常生活自理能力(activity of daily living,BADL)和工具性日常生活自理能力(instrumental activity of daily living,IADL)受损问题,本研究选择利用2020年中国健康与养老追踪调查(China Health and Retirement Longitudinal Study,CHARLS)数据库,分析了中老年人心血管代谢性共病与不同类型日常生活活动能力之间关联性的研究,并深入探讨患有心血管共病中老年人不同类型日常生活活动能力受损的影响因素,旨在为中老年心血管代谢性共病导致的功能受限管理提供实证支持。
本文所利用的研究数据来自“中国健康与养老追踪调查(CHARLS)”2020年的调查数据。
因变量为中老年人的不同类型日常活动能力情况,采用BADL和 IADL功能量表进行评估。CHARLS 数据库详细调查了 6 项 BADL指标包括洗澡、穿衣、吃饭、如厕、梳洗和行走和6 项 IADL指标包括家务、做饭、购物、打电话、吃药和管钱。每项指标分为 4级:(1)没有困难;(2)有困难但仍可以完成;(3)有困难,需要帮助;(4)无法完成。6项指标中只要有1 项指标受损则评定为 ADL 和 IADL受损。
自变量为心血管代谢性共病(CMM),CMM定义为同时患有2种及以上CMD[8-9]。本研究中CMD包含了高血压、血脂异常、糖尿病、心脏病和脑卒中5类疾病。其中,心脏病包含心肌梗死、冠心病、心绞痛、充血性心力衰竭和其他心脏疾病。控制变量包括年龄、性别、婚姻状况(有配偶、无配偶)、教育水平(文盲、小学、初中、高中及以上)、居住地(农村、城市)、睡眠时间(≤6 h、6~8 h、≥8 h)、是否摔倒、是否骨折和生活满意度(极其满意、非常满意、比较满意、不太满意、非常不满意)。各变量具体赋值见表1
采用 SAS 17.0统计软件进行数据的整理和分析。正态分布的定量资料采用均数士标准差()进行描述,定性资料采用频数及百分比(%)进行描述,组间比较采用χ2检验。以 2020年心血管和代谢性疾病数量为主要暴露变量,是否出现不同类型日常活动能力受损为结局变量,调整年龄、性别等协变量。采用 logistic 回归分析模型对人口学变量、是否患心血管代谢性共病与 BADL 和 IADL受损情况进行分析拟合,并报告调整后的 OR 值。检验水准 α=0.05,均为双侧检验。另外,使用R 4.1.3软件进行随机森林回归分析,以确定各个维度的重要性。将数据集的70%用作训练集,30%用作测试集,以确保训练模型的准确性,根据 ROC 曲线下面积 AUC 值评价模型的区分效果。构建RF模型,并设置检验水准为α=0.05。
本研究纳入8 894名研究对象,其中平均年龄(60.92±9.30)岁,其中45~59岁4 490人(50.48%),60~74岁 3 594人(40.41%),≥75岁810人(9.11%),4 292名(48.26%)为男性,4 602(51.74%)为女性。86.9%的人已婚,63.42%的人来自农村地区。3 387例(38.08%)老年人学历为文盲,2 876例(32.34%)为小学,1 720 例(19.34%)为初中,911 例(10.24%)为高中及以上。患有一种心血管代谢性疾病者1 757人(19.75%),患有心血管代谢性共病者372人(4.18%),BADL 和 IADL受损的发生率分别为 15.90%和 17.32%。见表2
使用logistic回归分析模型分析不同类型日常生活活动能力受损与样本特征的关系并对混杂因素进行校正,年龄是影响不同类型日常生活活动能力受损的主要原因,60~74岁、≥75的受访者分别是45~60岁受访者BADL受损风险的1.97倍和3.98倍,分别是45~60岁受访者 IADL受损风险的2.00倍和 4.94倍;相较于 BADL受损、IADL受损的风险更大。高龄、女性、无配偶、居住在城市、骨折、摔倒、低生活满意度,都是不同类型日常生活活动能力受损的风险因素,而居住在城市受较高教育水平(中学及以上)和睡眠时间充足(≥8 h)是不同类型日常生活活动能力受损的保护因素。见表3
本研究显示,8 894名研究对象中有19.75%至少存在一种心血管代谢性疾病,其中4.18%患有心血管代谢性共病。心血管代谢性共病中老年人中有 105人(7.43%)出现BADL受损,有121人(7.86%)出现IADL受损。在控制年龄、性别等混杂因素后,与无心血管代谢性疾病中老年人相比,有心血管代谢性共病中老年人出现BADL和IADL受损的风险更高。与无心血管代谢性疾病中老年人相比,患有1种心血管代谢性疾病、2种心血管代谢性疾病、2 种及以上心血管代谢性共病、 3种及以上心血管代谢性共病和4种及以上心血管代谢性共病的中老年人更容易出现BADL受损;患有1种心血管代谢性疾病、2种心血管代谢性疾病、2 种及以上心血管代谢性共病、3种及以上心血管代谢性共病和4种及以上心血管代谢性共病的中老年人更容易出现IADL受损。心血管代谢性疾病数量与不同类型日常生活活动能力的logistic 回归分析模型分析。见表4
患有心血管代谢性共病中老年人BADL的影响因素按重要性排序前位依次为年龄、抑郁、疼痛困扰、生活满意度、文化程度、社交活动参与、摔倒、睡眠时长、婚姻状况、慢性病;患有心血管代谢性共病中老年人IADL的影响因素按重要性排序前十位依次为年龄、抑郁、疼痛困扰、生活满意度、社交活动参与、文化程度、睡眠时长、摔倒、性别、婚姻状况。见表5。此外,患有心血管代谢性共病中老年人不同类型日常生活活动能力 RF 模型的 AUC分别为0.804(0.708,0.899)和0.761(0.663, 0.859),模型拟合良好。见图1图2
本研究发现中国中老年人心血管代谢性共病检出率为4.18%;BADL受损率为15.90%; IADL受损率为17.32%,这与已有研究结果基本一致[10]。患有心血管代谢性共病中老年人发生BADL受损、IADL受损的可能性较高。心、脑血管等慢性疾病与机体的炎症标志物水平紧密关联[11],更易随年龄增长产生生理损伤和功能限制并发残疾。此外,BADL和IADL与心血管代谢性共病存在一定的相关性,当个体发生功能残疾时,会对增加心血管疾病患病率和全因死亡率[12],发生交互影响进而加重症状。
中国中老年人不同类型的日常生活活动能力受损风险随心血管代谢性疾病数量增加而上升。本研究发现,纳入研究的单一心血管疾病或代谢性疾病与较高的BADL和IADL受损有关,且随着心血管代谢性疾病数量的增加,中老年人的BADL和IADL受损的风险也随之升高。研究结果与Brayden N.F等[7]调查的心脏代谢多病症和活动受限的结果相似。来自中国的一项纵向研究也表明有CMM的受试者的残疾进展更快[13]。这可能是由于多个生理系统稳态能力的下降是残疾发展的高危状态[14],而心脑血管及代谢性疾病会损害多个身体系统,促进动脉斑块聚集、炎症反应和氧化应激,导致动脉粥样硬化和血栓形成[15],加重神经功能缺损,进而加速功能残疾[13,16]
本研究随机森林预测模型结果显示,高龄、抑郁、疼痛困扰对心血管代谢性共病中老年人不同类型的日常生活活动能力受损均起着十分重要的作用。中老年人群是 CMM 的主要患病群体,随年龄增长患任一种心血管代谢性疾病都会增加其他疾病的发病风险。这与国内外相关研究结果一致[5,17]。高龄老年人会发生骨质疏松、各系统退行性病变和慢性疾病的累积等,导致功能受损的概率增加,因此应更加关注高龄老年人功能残疾情况。本研究结果显示抑郁是患心血管代谢性共病中老年人不同类型日常生活活动能力受损的第二重要影响因素,抑郁作为一种常见的心理健康问题,已被证实会显著增加心血管代谢性共病的患病风险[18]。抑郁症会导致生理过程失调,包括下丘脑-垂体-肾上腺(HPA)轴过度活跃、自主神经系统功能障碍、代谢失调以及炎症等,这些变化可能会增加血管代谢性共病的风险[19-20]。此外,疼痛困扰是患心血管代谢性共病中老年人不同类型日常生活活动能力受损的第三影响因素,这与Ren等[21]研究结果一致,疼痛的发生常与炎症共存,引起氧化应激,从而增加胰岛素抵抗和动脉粥样硬化的风险,与心血管代谢性疾病高度相关[22-23] 。相关医务工作者应关注应积极关注中老年人的心理健康状况,及时筛查和干预抑郁症状和疼痛症状,引导患者改善生活方式,以降低心血管代谢性共病的风险。
综上所述,我国中老年人群的心血管代谢性共病与日常生活活动(BADL)和工具性日常生活活动(IADL)能力相关。我国人口老龄化发展迅速, BADL和IADL受损不仅会给中老年人带来身体和精神上的痛苦,还会给家庭和社会带来巨大的照护与经济负担。因此,无论在临床实践还是日常生活中,需重视中老年人的心血管代谢性共病对不同类型日常生活活动能力的影响。通过早期的预防、监测和干预措施,可以有效地减缓BADL和IADL能力的下降速度,从而提高中老年人的生活质量,并减轻社会的负担。
本研究亦存在不足之处:(1)CHARLS 中的心血管代谢性共病相关数据来源于调查对象的自我报告,可能存在回忆和报告偏倚,容易造成 CMM 患病率的低估;(2) 本研究使用数据为同一时点的横断面调查,相关影响因素不代表因果关系。(3)由于本研究所采集的数据局限于可获取的范围,未对心血管代谢性疾病的病程和严重程度进行详细区分。(4)由于部分疾病组合的样本量相对较少,无法通过模型估计其与失能的关系。
  • 四川省自然科学基金(2023NSFSC0513)
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doi: 10.20043/j.cnki.MPM.202405193
  • 接收时间:2024-05-13
  • 首发时间:2026-03-20
  • 出版时间:2024-11-25
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  • 收稿日期:2024-05-13
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四川省自然科学基金(2023NSFSC0513)
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    1.成都中医药大学护理学院,四川 成都 610075
    2.四川绵阳三台县人民医院 重症医学科

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2种不同金属材料的力学参数

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Percentage of
total species (%)

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种数
Number of
species
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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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