Article(id=1241035813211918597, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241035810628235909, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202407207, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1720886400000, receivedDateStr=2024-07-14, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773815595199, onlineDateStr=2026-03-18, pubDate=1733760000000, pubDateStr=2024-12-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773815595199, onlineIssueDateStr=2026-03-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773815595199, creator=13701087609, updateTime=1773815595199, updator=13701087609, issue=Issue{id=1241035810628235909, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='23', pageStart='4225', pageEnd='4416', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773815594584, creator=13701087609, updateTime=1773815743629, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241036435843764756, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241035810628235909, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241036435843764757, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241035810628235909, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=4266, endPage=4271, ext={EN=ArticleExt(id=1241035815200018704, articleId=1241035813211918597, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=The impact of comorbidity of chronic diseases and concurrent depression symptoms on disability risk among older adults in China based on CHARLS data, columnId=1240413921954295836, journalTitle=Modern Preventive Medicine, columnName=Epidemiology and Statistical Methods, runingTitle=null, highlight=null, articleAbstract=
Objective

To investigate the correlation between the comorbidity of chronic diseases and concurrent depression symptoms with increased disability risk among older adults in China.

Methods

Utilizing data from the 2020 China Health and Retirement Longitudinal Study (CHARLS), we analyzed health-related data, including basic information, chronic diseases, depression symptoms, and disability among individuals aged 60 and above. A chi-square test χ2 was employed for preliminary analysis of the association between various factors and disability risk, followed by calibration of a binary logistic regression model. The odds ratios (OR) were estimated to reflect the increased disability risk of respondents with comorbidity and depression symptoms compared to other respondents.

Results

A total of 8 762 respondents were included, with a balanced gender distribution and an average age of 68.10 years. Among the respondents, 41.35% exhibited depression symptoms, and 15.10% had comorbid conditions, with a comorbidity and depression symptom co-occurrence rate of 8.38%. The results indicated that respondents with comorbidity and depression symptoms had a 550% (OR=6.50, 95%CI: 4.98-8.47) increased risk of impairment in Basic Activities of Daily Living (BADL) and a 389% (OR=4.89, 95%CI: 4.07-5.87) increased risk of impairment in Instrumental Activities of Daily Living (IADL), along with a significant increase in the risk of impairment in Activities of Daily Living(ADL) (OR=4.98, 95%CI: 4.16-5.96).

Conclusion

There is a significant correlation between the comorbidity of chronic diseases and concurrent depression symptoms with increased disability risk among older adults in China. This poses a serious threat to the health and quality of life of the elderly, highlighting the need for early screening and intervention, as well as enhanced health education and psychological support to effectively reduce disability risk.

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目的

探究慢性病共病与抑郁症状并发与中国老年人失能风险增加的相关性。

方法

基于2020年中国健康与养老全国追踪调查(China Health and Retirement Longitudinal Study, CHARLS)数据库,分析60岁及以上老年人的基本信息、慢性病、抑郁症状与失能相关健康数据,运用χ2检验初步分析各因素与失能风险的关联性,运用二分类logistic对回归模型校准,再使用估计比值比(OR)反映共病与抑郁症状并发受访者的失能风险相对于其他受访者的增加程度。

结果

共纳入8 762名受访者,男女分布均衡,平均年龄68.10岁。41.35%受访者存在抑郁症状,15.10%受访者患共病,共病与抑郁症状并发率为8.38%。结果显示,与其他受访者相比,共病与抑郁症状并发的受访者的基础性日常生活自理能力(basic activities of daily living, BADL)和工具性日常生活自理能力(instrumental activities of daily living, IADL)受损的风险分别增加550%(OR=6.50,95%CI: 4.98~8.47)和389%(OR=4.89,95%CI: 4.07~5.87),日常生活自理能力(activities of daily living, ADL)受损风险显著升高(OR=4.98,95%CI: 4.16~5.96)。

结论

慢性病共病与抑郁症状并发与中国老年人失能风险的增加有显著相关性,对老年人的健康与生活质量构成严重威胁,应尽早开展筛查与干预,加强健康教育与心理疏导,以有效降低失能风险。

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田侃,E-mail:
, copyrightStatement=本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点,除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=L4qxPcBfwuF9AbXtwbWVCA==, magXml=wpJTGwiBT5b5ISGMKBmurQ==, pdfUrl=null, pdf=LPjxK6yiqqBJmzC8sEPHog==, pdfFileSize=699923, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=QpXWeAnHSDCBnx53ba8xeQ==, mapNumber=null, authorCompany=null, fund=null, authors=

杨晞雅(1999—),女,硕士在读,研究方向:养老管理

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杨晞雅(1999—),女,硕士在读,研究方向:养老管理

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杨晞雅(1999—),女,硕士在读,研究方向:养老管理

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Medicine and Society,2022, 35(6): 127-132, 144.(In Chinese), articleTitle=Research on influence of chronic disease comorbidity on depressive symptom among middle-aged and elderly people in China based on propensity score matching, refAbstract=null)], funds=[Fund(id=1241069121425699431, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, awardId=22SYC-041, language=CN, fundingSource=江苏省社科应用研究精品工程课题《江苏社区嵌入式医养结合养老模式研究》(22SYC-041), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241069115868246244, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, xref=1., ext=[AuthorCompanyExt(id=1241069115876634853, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, companyId=1241069115868246244, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Elderly Care Service and Management, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China), AuthorCompanyExt(id=1241069115885023463, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, companyId=1241069115868246244, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.南京中医药大学养老服务与管理学院,江苏 南京 210023)]), AuthorCompany(id=1241069115981492468, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, xref=2., ext=[AuthorCompanyExt(id=1241069115989881076, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, companyId=1241069115981492468, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.南京中医药大学卫生经济管理学院,江苏 南京 210023)])], figs=[ArticleFig(id=1241069119500513728, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=EN, label=Table 1, caption=

Descriptive analysis of the variables of the population included in the study

, figureFileSmall=null, figureFileBig=null, tableContent=
变量人数%(95%CI)
性别
女性4 45350.82(49.77~51.87)
男性4 30949.18(48.13~50.23)
年龄(岁)
60~695 71365.2(64.20~66.19)
70~792 57929.43(28.49~30.40)
80~894555.19(4.75~5.68)
≥90150.17(0.10~0.28)
婚姻状态
有配偶6 91678.93(78.07~79.77)
无配偶1 84621.07(20.23~21.93)
受教育水平
未受过正式教育2 24325.6(24.70~26.52)
小学毕业及以下3 75942.90(41.87~43.94)
初中毕业1 96222.39(21.53~23.28)
高中毕业(包括中专)6907.87(7.33~8.46)
大专及以上1081.23(1.02~1.49)
饮酒行为
不饮酒5 79666.15(65.15~67.13)
喝酒但每月少于一次7568.63(8.06~9.23)
每月多于一次2 21025.22(24.32~26.14)
体力活动
参与体力活动7 78588.85(88.17~89.49)
不参与体力活动97711.15(10.51~11.83)
社会医疗保险
8 35495.34(94.88~95.77)
4084.66(4.23~5.12)
抑郁症状
存在抑郁症状3 62341.35(40.32~42.38)
无抑郁症状5 13958.65(57.62~59.68)
共病
患共病1 32315.10(14.36~15.86)
不患共病7 43984.90(84.14~85.64)
共病与抑郁症状是否并发
共病与抑郁症状并发7348.38(7.81~8.98)
存在抑郁症状但不患共病2 88932.97(32.00~33.96)
患共病但无抑郁症状5896.72(6.22~7.27)
不存在共病或抑郁症状4 55051.93(50.88~52.97)
), ArticleFig(id=1241069119588594122, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=CN, label=表1, caption=

研究中涉及变量的描述性分析

, figureFileSmall=null, figureFileBig=null, tableContent=
变量人数%(95%CI)
性别
女性4 45350.82(49.77~51.87)
男性4 30949.18(48.13~50.23)
年龄(岁)
60~695 71365.2(64.20~66.19)
70~792 57929.43(28.49~30.40)
80~894555.19(4.75~5.68)
≥90150.17(0.10~0.28)
婚姻状态
有配偶6 91678.93(78.07~79.77)
无配偶1 84621.07(20.23~21.93)
受教育水平
未受过正式教育2 24325.6(24.70~26.52)
小学毕业及以下3 75942.90(41.87~43.94)
初中毕业1 96222.39(21.53~23.28)
高中毕业(包括中专)6907.87(7.33~8.46)
大专及以上1081.23(1.02~1.49)
饮酒行为
不饮酒5 79666.15(65.15~67.13)
喝酒但每月少于一次7568.63(8.06~9.23)
每月多于一次2 21025.22(24.32~26.14)
体力活动
参与体力活动7 78588.85(88.17~89.49)
不参与体力活动97711.15(10.51~11.83)
社会医疗保险
8 35495.34(94.88~95.77)
4084.66(4.23~5.12)
抑郁症状
存在抑郁症状3 62341.35(40.32~42.38)
无抑郁症状5 13958.65(57.62~59.68)
共病
患共病1 32315.10(14.36~15.86)
不患共病7 43984.90(84.14~85.64)
共病与抑郁症状是否并发
共病与抑郁症状并发7348.38(7.81~8.98)
存在抑郁症状但不患共病2 88932.97(32.00~33.96)
患共病但无抑郁症状5896.72(6.22~7.27)
不存在共病或抑郁症状4 55051.93(50.88~52.97)
), ArticleFig(id=1241069119697646037, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=EN, label=Table 2, caption=

Bivariate analysis of difficulties in ADL by control variable, depression, and multimorbidity

, figureFileSmall=null, figureFileBig=null, tableContent=
变量对ADL的影响
%(95%CI)POR(95%CI)
性别<0.001
男性15.55(14.48~16.67)1
女性25.58(24.30~26.89)1.87(1.68~2.08)
年龄(岁)<0.001
60~6915.84(14.90~16.81)1
70~7926.95(25.24~28.71)1.96(1.75~2.19)
80~8943.30(38.69~47.99)4.06(3.33~4.95)
≥9080.00(51.91~95.67)21.25(5.98~75.45)
婚姻状态<0.001
无配偶27.63(25.60~29.73)1
有配偶18.78(17.87~19.72)0.61(0.54~0.68)
受教育水平<0.001
未受过正式教育32.77(30.83~34.75)1
小学毕业及以下19.29(18.04~20.59)0.49(0.43~0.55)
初中毕业14.12(12.61~15.74)0.34(0.29~0.39)
高中毕业(包括中专)9.28(7.22~11.69)0.21(0.16~0.28)
大专及以上7.41(3.25~14.07)0.16(0.08~0.34)
饮酒行为<0.001
不饮酒23.48(22.40~24.59)1
喝酒但每月少于一次17.59(14.94~20.50)0.70(0.57~0.85)
每月多于一次14.25(12.82~15.78)0.54(0.47~0.62)
体力活动<0.001
参与体力活动39.20(36.13~42.34)1
不参与体力活动18.31(17.46~19.19)0.35
社会医疗保险<0.001
20.01(19.16~20.89)1
33.58(29.01~38.39)0.49(0.40~0.61)
抑郁症状<0.001
无抑郁症状13.04(12.13~13.99)1
存在抑郁症状31.44(29.93~32.98)3.06(2.75~3.40)
共病<0.001
不患共病18.60(17.73~19.51)1
患共病32.12(29.61~34.72)2.07(1.82~2.36)
共病与抑郁症状是否并发<0.001
不存在共病或抑郁症状12.20(11.26~13.18)1
存在抑郁症状但不患共病28.70(27.05~30.38)2.90(2.57~3.27)
共病但无抑郁症状19.52(16.40~22.96)1.75(1.40~2.18)
共病与抑郁并发42.23(38.63~45.90)5.26(4.43~6.25)
), ArticleFig(id=1241069119831863776, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=CN, label=表2, caption=

控制变量、抑郁症状和共病对ADL影响的双变量分析

, figureFileSmall=null, figureFileBig=null, tableContent=
变量对ADL的影响
%(95%CI)POR(95%CI)
性别<0.001
男性15.55(14.48~16.67)1
女性25.58(24.30~26.89)1.87(1.68~2.08)
年龄(岁)<0.001
60~6915.84(14.90~16.81)1
70~7926.95(25.24~28.71)1.96(1.75~2.19)
80~8943.30(38.69~47.99)4.06(3.33~4.95)
≥9080.00(51.91~95.67)21.25(5.98~75.45)
婚姻状态<0.001
无配偶27.63(25.60~29.73)1
有配偶18.78(17.87~19.72)0.61(0.54~0.68)
受教育水平<0.001
未受过正式教育32.77(30.83~34.75)1
小学毕业及以下19.29(18.04~20.59)0.49(0.43~0.55)
初中毕业14.12(12.61~15.74)0.34(0.29~0.39)
高中毕业(包括中专)9.28(7.22~11.69)0.21(0.16~0.28)
大专及以上7.41(3.25~14.07)0.16(0.08~0.34)
饮酒行为<0.001
不饮酒23.48(22.40~24.59)1
喝酒但每月少于一次17.59(14.94~20.50)0.70(0.57~0.85)
每月多于一次14.25(12.82~15.78)0.54(0.47~0.62)
体力活动<0.001
参与体力活动39.20(36.13~42.34)1
不参与体力活动18.31(17.46~19.19)0.35
社会医疗保险<0.001
20.01(19.16~20.89)1
33.58(29.01~38.39)0.49(0.40~0.61)
抑郁症状<0.001
无抑郁症状13.04(12.13~13.99)1
存在抑郁症状31.44(29.93~32.98)3.06(2.75~3.40)
共病<0.001
不患共病18.60(17.73~19.51)1
患共病32.12(29.61~34.72)2.07(1.82~2.36)
共病与抑郁症状是否并发<0.001
不存在共病或抑郁症状12.20(11.26~13.18)1
存在抑郁症状但不患共病28.70(27.05~30.38)2.90(2.57~3.27)
共病但无抑郁症状19.52(16.40~22.96)1.75(1.40~2.18)
共病与抑郁并发42.23(38.63~45.90)5.26(4.43~6.25)
), ArticleFig(id=1241069119953498603, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=EN, label=Table 3, caption=

Crude analysis adjusted for influencing factors for difficulties in ADL with depression, multimorbidity, and their combination

, figureFileSmall=null, figureFileBig=null, tableContent=
ADL
Crude OR(95%CI)Adjusted OR(95%CI)
抑郁症状
无抑郁症状11
存在抑郁症状3.06(2.75~3.40)2.73(2.44~3.06)
共病
不患共病11
患共病2.07(1.82~2.36)2.19(1.91~2.51)
共病与抑郁症状是否并发
不存在共病或抑郁症状11
存在抑郁症状但不患共病2.90(2.57~3.27)2.55(2.25~2.90)
共病但无抑郁症状1.75(1.40~2.18)1.84(1.45~2.32)
共病与抑郁症状并发5.26(4.43~6.25)4.98(4.16~5.96)
), ArticleFig(id=1241069120058356214, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=CN, label=表3, caption=

针对抑郁症状、共病及其并发情况对ADL影响的校正分析

, figureFileSmall=null, figureFileBig=null, tableContent=
ADL
Crude OR(95%CI)Adjusted OR(95%CI)
抑郁症状
无抑郁症状11
存在抑郁症状3.06(2.75~3.40)2.73(2.44~3.06)
共病
不患共病11
患共病2.07(1.82~2.36)2.19(1.91~2.51)
共病与抑郁症状是否并发
不存在共病或抑郁症状11
存在抑郁症状但不患共病2.90(2.57~3.27)2.55(2.25~2.90)
共病但无抑郁症状1.75(1.40~2.18)1.84(1.45~2.32)
共病与抑郁症状并发5.26(4.43~6.25)4.98(4.16~5.96)
), ArticleFig(id=1241069120184185346, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=EN, label=Table 4, caption=

Bivariate analysis of difficulties in BADL by control variable, depression, and multimorbidity

, figureFileSmall=null, figureFileBig=null, tableContent=
变量对BADL的影响
%(95%CI)POR(95%CI)
性别<0.001
男性5.04(4.40~5.73)1
女性7.68(6.91~8.50)1.57(1.32~1.87)
年龄(岁)<0.001
60~694.67(4.14~5.25)1
70~798.65(7.59~9.80)1.93(1.61~2.32)
80~8914.73(11.60~18.32)3.52(2.64~4.69)
≥9013.33(1.66~40.46)3.14(0.70~13.98)
婚姻状态<0.001
无配偶8.50(7.27~9.87)1
有配偶5.81(5.27~6.39)0.66(0.55~0.80)
受教育水平<0.001
未受过正式教育8.87(7.73~10.13)1
小学毕业及以下6.15(5.40~6.96)0.67(0.55~0.82)
初中毕业4.69(3.80~5.72)0.51(0.39~0.65)
高中毕业(包括中专)4.20(2.83~5.98)0.45(0.30~0.67)
大专及以上7.41(3.25~14.07)0.82(0.39~1.71)
饮酒行为<0.001
不饮酒7.51(6.84~8.21)1
喝酒但每月少于一次5.95(4.37~7.88)0.78(0.57~1.07)
每月多于一次3.57(2.84~4.44)0.46(0.36~0.58)
体力活动<0.001
参与体力活动17.81(15.46~20.36)1
不参与体力活动4.95(4.47~5.45)0.24(0.20~0.29)
社会医疗保险<0.001
10.78(7.95~14.21)1
6.16(5.66~6.70)0.54(0.39~0.75)
抑郁症状<0.001
无抑郁症状3.33(2.85~3.85)1
存在抑郁症状10.71(9.72~11.76)3.48(2.90~4.19)
共病<0.001
不患共病5.30(4.80~5.83)1
患共病12.47(10.74~14.37)2.55(2.10~3.09)
共病与抑郁症状是否并发<0.001
不存在共病或抑郁2.95(2.47~3.48)1
存在抑郁症状但不患共病9.00(7.98~10.10)3.26(2.63~4.04)
共病但无抑郁症状6.28(4.46~8.56)2.21(1.52~3.21)
共病与抑郁症状并发17.44(14.76~20.38)6.96(5.38~9.00)
), ArticleFig(id=1241069120339374604, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=CN, label=表4, caption=

控制变量、抑郁症状和共病对BADL影响的双变量分析

, figureFileSmall=null, figureFileBig=null, tableContent=
变量对BADL的影响
%(95%CI)POR(95%CI)
性别<0.001
男性5.04(4.40~5.73)1
女性7.68(6.91~8.50)1.57(1.32~1.87)
年龄(岁)<0.001
60~694.67(4.14~5.25)1
70~798.65(7.59~9.80)1.93(1.61~2.32)
80~8914.73(11.60~18.32)3.52(2.64~4.69)
≥9013.33(1.66~40.46)3.14(0.70~13.98)
婚姻状态<0.001
无配偶8.50(7.27~9.87)1
有配偶5.81(5.27~6.39)0.66(0.55~0.80)
受教育水平<0.001
未受过正式教育8.87(7.73~10.13)1
小学毕业及以下6.15(5.40~6.96)0.67(0.55~0.82)
初中毕业4.69(3.80~5.72)0.51(0.39~0.65)
高中毕业(包括中专)4.20(2.83~5.98)0.45(0.30~0.67)
大专及以上7.41(3.25~14.07)0.82(0.39~1.71)
饮酒行为<0.001
不饮酒7.51(6.84~8.21)1
喝酒但每月少于一次5.95(4.37~7.88)0.78(0.57~1.07)
每月多于一次3.57(2.84~4.44)0.46(0.36~0.58)
体力活动<0.001
参与体力活动17.81(15.46~20.36)1
不参与体力活动4.95(4.47~5.45)0.24(0.20~0.29)
社会医疗保险<0.001
10.78(7.95~14.21)1
6.16(5.66~6.70)0.54(0.39~0.75)
抑郁症状<0.001
无抑郁症状3.33(2.85~3.85)1
存在抑郁症状10.71(9.72~11.76)3.48(2.90~4.19)
共病<0.001
不患共病5.30(4.80~5.83)1
患共病12.47(10.74~14.37)2.55(2.10~3.09)
共病与抑郁症状是否并发<0.001
不存在共病或抑郁2.95(2.47~3.48)1
存在抑郁症状但不患共病9.00(7.98~10.10)3.26(2.63~4.04)
共病但无抑郁症状6.28(4.46~8.56)2.21(1.52~3.21)
共病与抑郁症状并发17.44(14.76~20.38)6.96(5.38~9.00)
), ArticleFig(id=1241069120469398039, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=EN, label=Table 5, caption=

Crude analysis adjusted for influence factors for difficulties in BADL with depression, multimorbidity, and their combination

, figureFileSmall=null, figureFileBig=null, tableContent=
BADL
Crude OR(95%CI)Adjusted OR(95%CI)
抑郁症状
无抑郁症状11
存在抑郁症状3.48(2.90~4.19)3.22(2.66~3.90)
共病
不患共病11
患共病2.55(2.10~3.09)2.54(2.08~3.10)
共病与抑郁症状是否并发
不存在共病或抑郁11
存在抑郁症状但不患共病3.26(2.63~4.04)2.96(2.37~3.69)
共病但无抑郁症状2.21(1.52~3.21)2.15(1.47~3.15)
共病与抑郁症状并发6.96(5.38~9.00)6.50(4.98~8.47)
), ArticleFig(id=1241069120624587298, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=CN, label=表5, caption=

针对抑郁症状、共病及其并发情况对BADL影响的校正分析

, figureFileSmall=null, figureFileBig=null, tableContent=
BADL
Crude OR(95%CI)Adjusted OR(95%CI)
抑郁症状
无抑郁症状11
存在抑郁症状3.48(2.90~4.19)3.22(2.66~3.90)
共病
不患共病11
患共病2.55(2.10~3.09)2.54(2.08~3.10)
共病与抑郁症状是否并发
不存在共病或抑郁11
存在抑郁症状但不患共病3.26(2.63~4.04)2.96(2.37~3.69)
共病但无抑郁症状2.21(1.52~3.21)2.15(1.47~3.15)
共病与抑郁症状并发6.96(5.38~9.00)6.50(4.98~8.47)
), ArticleFig(id=1241069120767193645, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=EN, label=Table 6, caption=

Bivariate analysis of difficulties in IADL by control variable, depression, and multimorbidity

, figureFileSmall=null, figureFileBig=null, tableContent=
变量对IADL的影响
%(95%CI)POR(95%CI)
性别<0.001
男性14.53(13.49~15.62)1
女性23.98(22.74~25.27)1.86(1.66~2.07)
年龄(岁)<0.001
60~6914.79(13.88~15.74)1
70~7925.28(23.61~27.01)1.95(1.74~2.19)
80~8940.88(36.32~45.55)3.98(3.26~4.87)
≥9073.33(44.90~92.21)15.84(5.03~49.87)
婚姻状态<0.001
无配偶25.89(23.91~27.96)1
有配偶17.58(16.69~18.50)0.61(0.54~0.69)
受教育水平<0.001
未受过正式教育31.34(29.43~33.31)1
小学毕业及以下17.90(16.69~19.17)0.48(0.42~0.54)
初中毕业12.90(11.44~14.46)0.32(0.28~0.38)
高中毕业(包括中专)8.41(6.44~10.73)0.20(0.15~0.27)
大专及以上6.48(2.65~12.90)0.15(0.07~0.33)
饮酒行为<0.001
不饮酒22.14(21.07~23.23)1
喝酒但每月少于一次16.27(13.71~19.10)0.68(0.56~0.84)
每月多于一次13.03(11.66~14.51)0.53(0.46~0.61)
体力活动<0.001
参与体力活动37.05(34.02~40.17)1
不参与体力活动17.11(16.28~17.97)0.35(0.30~0.40)
社会医疗保险<0.001
31.86(27.36~36.63)1
18.72(17.89~19.57)0.49(0.40~0.61)
抑郁症状<0.001
无抑郁症状12.03(11.15~12.95)1
存在抑郁症状29.70(28.21~31.22)3.09(2.77~3.45)
共病<0.001
不患共病17.45(16.59~18.33)1
患共病29.93(27.47~32.48)2.02(1.77~2.31)
共病与抑郁症状是否并发<0.001
不存在共病或抑郁症状27.14(25.52~28.80)1
存在抑郁症状但不患共病27.14(25.52~28.80)2.92(2.59~3.31)
共病但无抑郁症状17.66(14.66~20.98)1.68(1.34~2.12)
共病与抑郁症状并发39.78(36.22~43.43)5.19(4.36~6.17)
), ArticleFig(id=1241069120989491768, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=CN, label=表6, caption=

控制变量、抑郁症状和共病对IADL影响的双变量分析

, figureFileSmall=null, figureFileBig=null, tableContent=
变量对IADL的影响
%(95%CI)POR(95%CI)
性别<0.001
男性14.53(13.49~15.62)1
女性23.98(22.74~25.27)1.86(1.66~2.07)
年龄(岁)<0.001
60~6914.79(13.88~15.74)1
70~7925.28(23.61~27.01)1.95(1.74~2.19)
80~8940.88(36.32~45.55)3.98(3.26~4.87)
≥9073.33(44.90~92.21)15.84(5.03~49.87)
婚姻状态<0.001
无配偶25.89(23.91~27.96)1
有配偶17.58(16.69~18.50)0.61(0.54~0.69)
受教育水平<0.001
未受过正式教育31.34(29.43~33.31)1
小学毕业及以下17.90(16.69~19.17)0.48(0.42~0.54)
初中毕业12.90(11.44~14.46)0.32(0.28~0.38)
高中毕业(包括中专)8.41(6.44~10.73)0.20(0.15~0.27)
大专及以上6.48(2.65~12.90)0.15(0.07~0.33)
饮酒行为<0.001
不饮酒22.14(21.07~23.23)1
喝酒但每月少于一次16.27(13.71~19.10)0.68(0.56~0.84)
每月多于一次13.03(11.66~14.51)0.53(0.46~0.61)
体力活动<0.001
参与体力活动37.05(34.02~40.17)1
不参与体力活动17.11(16.28~17.97)0.35(0.30~0.40)
社会医疗保险<0.001
31.86(27.36~36.63)1
18.72(17.89~19.57)0.49(0.40~0.61)
抑郁症状<0.001
无抑郁症状12.03(11.15~12.95)1
存在抑郁症状29.70(28.21~31.22)3.09(2.77~3.45)
共病<0.001
不患共病17.45(16.59~18.33)1
患共病29.93(27.47~32.48)2.02(1.77~2.31)
共病与抑郁症状是否并发<0.001
不存在共病或抑郁症状27.14(25.52~28.80)1
存在抑郁症状但不患共病27.14(25.52~28.80)2.92(2.59~3.31)
共病但无抑郁症状17.66(14.66~20.98)1.68(1.34~2.12)
共病与抑郁症状并发39.78(36.22~43.43)5.19(4.36~6.17)
), ArticleFig(id=1241069121102737986, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=EN, label=Table 7, caption=

Crude analysis adjusted for influencing factors for difficulties in IADL with depression, multimorbidity, and their combination

, figureFileSmall=null, figureFileBig=null, tableContent=
IADL
Crude OR(95%CI)Adjusted OR(95%CI)
抑郁症状
无抑郁症状11
存在抑郁症状3.09(2.77~3.45)2.75(2.22~3.08)
共病
不患共病11
患共病2.02(1.77~2.31)2.13(1.85~2.45)
共病与抑郁症状是否并发
不存在共病或抑郁11
存在抑郁症状但不患共病2.92(2.59~3.31)2.56(2.25~2.92)
共病但无抑郁症状1.68(1.34~2.12)1.77(1.39~2.25)
共病与抑郁症状并发5.19(4.36~6.17)4.89(4.07~5.87)
), ArticleFig(id=1241069121199206990, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241035813211918597, language=CN, label=表7, caption=

针对抑郁症状、共病及其并发情况对IADL影响的校正分析

, figureFileSmall=null, figureFileBig=null, tableContent=
IADL
Crude OR(95%CI)Adjusted OR(95%CI)
抑郁症状
无抑郁症状11
存在抑郁症状3.09(2.77~3.45)2.75(2.22~3.08)
共病
不患共病11
患共病2.02(1.77~2.31)2.13(1.85~2.45)
共病与抑郁症状是否并发
不存在共病或抑郁11
存在抑郁症状但不患共病2.92(2.59~3.31)2.56(2.25~2.92)
共病但无抑郁症状1.68(1.34~2.12)1.77(1.39~2.25)
共病与抑郁症状并发5.19(4.36~6.17)4.89(4.07~5.87)
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采用CHARLS数据研究慢性病共病与抑郁症状并发对中国老年人失能风险的影响
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杨晞雅 1 , 田侃 2
现代预防医学 | 流行病与统计方法 2024,51(23): 4266-4271
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现代预防医学 | 流行病与统计方法 2024, 51(23): 4266-4271
采用CHARLS数据研究慢性病共病与抑郁症状并发对中国老年人失能风险的影响
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杨晞雅1, 田侃2
作者信息
  • 1.南京中医药大学养老服务与管理学院,江苏 南京 210023
  • 2.南京中医药大学卫生经济管理学院,江苏 南京 210023
  • 杨晞雅(1999—),女,硕士在读,研究方向:养老管理

通讯作者:

田侃,E-mail:
The impact of comorbidity of chronic diseases and concurrent depression symptoms on disability risk among older adults in China based on CHARLS data
Xi-ya YANG1, Kan TIAN2
Affiliations
  • School of Elderly Care Service and Management, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China
出版时间: 2024-12-10 doi: 10.20043/j.cnki.MPM.202407207
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目的

探究慢性病共病与抑郁症状并发与中国老年人失能风险增加的相关性。

方法

基于2020年中国健康与养老全国追踪调查(China Health and Retirement Longitudinal Study, CHARLS)数据库,分析60岁及以上老年人的基本信息、慢性病、抑郁症状与失能相关健康数据,运用χ2检验初步分析各因素与失能风险的关联性,运用二分类logistic对回归模型校准,再使用估计比值比(OR)反映共病与抑郁症状并发受访者的失能风险相对于其他受访者的增加程度。

结果

共纳入8 762名受访者,男女分布均衡,平均年龄68.10岁。41.35%受访者存在抑郁症状,15.10%受访者患共病,共病与抑郁症状并发率为8.38%。结果显示,与其他受访者相比,共病与抑郁症状并发的受访者的基础性日常生活自理能力(basic activities of daily living, BADL)和工具性日常生活自理能力(instrumental activities of daily living, IADL)受损的风险分别增加550%(OR=6.50,95%CI: 4.98~8.47)和389%(OR=4.89,95%CI: 4.07~5.87),日常生活自理能力(activities of daily living, ADL)受损风险显著升高(OR=4.98,95%CI: 4.16~5.96)。

结论

慢性病共病与抑郁症状并发与中国老年人失能风险的增加有显著相关性,对老年人的健康与生活质量构成严重威胁,应尽早开展筛查与干预,加强健康教育与心理疏导,以有效降低失能风险。

共病  /  抑郁症状  /  失能风险  /  慢性病  /  老年人
Objective

To investigate the correlation between the comorbidity of chronic diseases and concurrent depression symptoms with increased disability risk among older adults in China.

Methods

Utilizing data from the 2020 China Health and Retirement Longitudinal Study (CHARLS), we analyzed health-related data, including basic information, chronic diseases, depression symptoms, and disability among individuals aged 60 and above. A chi-square test χ2 was employed for preliminary analysis of the association between various factors and disability risk, followed by calibration of a binary logistic regression model. The odds ratios (OR) were estimated to reflect the increased disability risk of respondents with comorbidity and depression symptoms compared to other respondents.

Results

A total of 8 762 respondents were included, with a balanced gender distribution and an average age of 68.10 years. Among the respondents, 41.35% exhibited depression symptoms, and 15.10% had comorbid conditions, with a comorbidity and depression symptom co-occurrence rate of 8.38%. The results indicated that respondents with comorbidity and depression symptoms had a 550% (OR=6.50, 95%CI: 4.98-8.47) increased risk of impairment in Basic Activities of Daily Living (BADL) and a 389% (OR=4.89, 95%CI: 4.07-5.87) increased risk of impairment in Instrumental Activities of Daily Living (IADL), along with a significant increase in the risk of impairment in Activities of Daily Living(ADL) (OR=4.98, 95%CI: 4.16-5.96).

Conclusion

There is a significant correlation between the comorbidity of chronic diseases and concurrent depression symptoms with increased disability risk among older adults in China. This poses a serious threat to the health and quality of life of the elderly, highlighting the need for early screening and intervention, as well as enhanced health education and psychological support to effectively reduce disability risk.

Comorbidity  /  Depression symptoms  /  Disability risk  /  Chronic diseases  /  Older adults
杨晞雅, 田侃. 采用CHARLS数据研究慢性病共病与抑郁症状并发对中国老年人失能风险的影响. 现代预防医学, 2024 , 51 (23) : 4266 -4271 . DOI: 10.20043/j.cnki.MPM.202407207
Xi-ya YANG, Kan TIAN. The impact of comorbidity of chronic diseases and concurrent depression symptoms on disability risk among older adults in China based on CHARLS data[J]. Modern Preventive Medicine, 2024 , 51 (23) : 4266 -4271 . DOI: 10.20043/j.cnki.MPM.202407207
老龄化浪潮正以前所未有的速度席卷中国,构成日益紧迫的社会挑战。据相关研究预测,到2030年,中国需要护理的老年人口将比2020年激增1 402万[1],老年人失能照护问题已逐渐成为公共卫生体系所面临的严峻挑战,亟待出台有效的应对策略。慢性病共病现象,即患有两种及以上慢性病的状态,在老年人群中尤为普遍。据统计,我国60岁及以上的居民中,慢性病患病率为86.39%[2]。慢性病因其病程长、治疗难度大、致残率高等特点,给老年人带来了沉重的身体和心理负担,也严重增加了老年人的失能风险[3]。近年来,随着全球老龄化程度加深,国内外研究均发现,共病与抑郁症状之间存在紧密的联系,且二者都会加剧老年人的失能风险,对老年人的自理能力及生活质量造成严重的影响[4-10]。然而,目前国内关于这种并发状况对老年人失能风险具体产生什么样影响的探讨尚显不足。本研究旨在依托2020年中国健康与养老追踪调查(China Health and Retirement Longitudinal Study, CHARLS)数据,深入剖析慢性病共病与抑郁症状并发是否加剧了中国老年人的失能风险。通过此研究,期望为失能预防策略的制定、高危人群的筛查提供参考依据,同时提出干预措施,以应对老年人失能风险的增加,进而改善老年人的整体健康状况和生活质量。
CHARLS项目由北京大学国家发展研究院主持,是一项针对中国45岁及以上的中老年人家庭和个人开展的高质量微观调查,涵盖了中国28个省(自治区、直辖市)的150个县、450个社区(村)的45岁以上的中老年人17 708人。CHARLS2020数据于2023年11月公开,是目前国内最新、最具全国代表性的中老年人调查数据之一,被广泛应用于老年健康领域研究,满足本研究的研究需要。
本研究选取年龄为60岁及以上的受访者,并根据研究需求清洗数据后最终纳入有效数据8 762份。排除标准:(1)年龄<60岁;(2)未完整回答失能风险评估量表;(3)未完整回答抑郁量表;(4)共病问卷回答完全缺失。
本研究的暴露变量为共病与抑郁症状的同时存在的情况。选取问卷中“是否有医生曾经告诉过受访者有(慢性病名称)?”进行共病情况的评估,回答存在两种及以上慢性病则认为受访者患共病。抑郁症状的评估采用了简版流行病学研究中心抑郁量表(center for epidemiologic studies depression scale, CES-D10),共包含10题,对反向提问反向计分,按照程度重新编码为0~3分,将得分加总,CES-D10≥10分被认为存在抑郁症状,CES-D10<10分被认为无抑郁症状[11]。经检验,本研究中CES-D-10量表的KMO值为0.87,Cronbach α为0.77,表明量表信效度良好。
结局变量为失能风险。在老年学领域中,常用“失能”来描述老年人在生活中丧失自我照料的能力,通常使用日常生活自理能力(activities of daily living, IADL)来反映。问卷中,躯体生活自理量表和工具性日常生活活动量表分别被用来测量老年人的基础性日常生活自理能力(basic activities of daily liv‐ing, BADL)和工具性日常生活自理能力(instrumental activities of daily living, IADL)。BADL反映了穿衣、洗澡、进食、室内移动、如厕等方面的功能水平;IADL体现老年人家务劳动、购物、打电话、吃药、管理财务等方面的能力水平[12]。本研究参考前人的研究,若至少一项回答为“有困难,需要帮助”或“无法完成”则认为该受访者存在失能风险[13]。经检验,以上两个量表的Cronbach α分别为0.77和0.75,KMO值分别为0.82和0.79,显示两个量表信效度较好。
控制变量为人口学因素,如年龄、性别、婚姻状况、受教育程度、健康相关行为(饮酒频率、体力活动参与)以及社会医疗保险参与情况。
首先对所有研究变量进行描述性统计分析查看数据整体特征,随后运用χ2检验对各变量进行深入分析,探究这些变量与老年人失能风险之间是否存在统计关联。随后采用二分类logistic回归模型对人口学因素、健康行为、社会医疗保险参加情况等作为控制变量纳入模型中进行分析,更准确地评估共病与抑郁症状并发对老年人失能风险的独立影响。最后使用估计比值比(OR)作为衡量变量之间关系的效应指标,反映共病与抑郁症状并发时,老年人失能风险相对于无此复合状况者的增加程度。同时,计算比值比的95%置信区间(95%CI),以评估这一效应估计值的稳定性和可靠性。检验水准α=0.05。
根据前文提到的剔除标准清洗数据,8 762名受访者的数据被纳入本次研究。在本研究中,男女分布均衡;60~69岁年龄组的受访者最多,共5 713名,占比65.20%。41.35%的受访者存在抑郁症状,15.10%的受访者患共病,共病与抑郁症状并发率为8.38%。见表1
对所有研究变量进行χ2分析显示,抑郁症状、共病、人口学因素、健康行为、社会医疗保险参加情况都与老年人ADL受损有关。见表2
对控制变量进行校正后发现,存在抑郁症状和患共病都分别与ADL损伤显著相关,且二者并发时,老年人ADL受损风险明显增加(OR=4.98,95%CI: 4.16~5.96)。见表3
对所有研究变量进行χ2分析显示,抑郁症状、共病、人口学因素、健康行为、社会医疗保险参加情况都与老年人BADL受损风险增加有关。见表4
加入控制变量后发现,存在抑郁症状和患有共病分别与BADL损伤显著相关,且当共病与抑郁症状并发时,老年人的BADL受损风险显著高于其他情况(OR=6.50,95%CI: 4.98~8.47)。见表5
对所有研究变量进行χ2分析显示,抑郁症状、共病、人口学因素、健康行为、社会医疗保险参加情况都与老年人IADL受损风险增加有关。见表6
调整模型后发现,存在抑郁症状和患有共病分别与IADL损伤显著相关,且当共病与抑郁症状并发时,老年人的IADL受损风险显著高于其他情况(OR=4.89,95%CI: 4.07~5.87)。见表7
存在抑郁症状和患共病都与中国老人ADL受损显著相关,同时在BADL与IADL两方面分别存在显著相关关系。经过调整的分析结果显示,共病和抑郁症状都分别与老年人失能风险增加有关,且二者并发时,老年人的失能风险相较于其他情况显著升高。该研究结果与一些学者对老年人口的相关研究相吻合,即患有共病的老年人与存在抑郁症状的老年人存在更多的失能状况[8,13]且二者并发会损害老年人日常生活能力,增加失能风险[14]
当老年人患有共病时,身体机能受到负面的影响,ADL受到损伤,损伤程度较为严重的会导致失能甚至残疾[13],这不仅缩小了老年人的日常活动范围、降低了生活便利程度与社交参与程度,还通过持续的疼痛、治疗的负担等形式加重老年人的心理压力,引发无助与消极的负面情绪。这些心理层面的微妙变化如同催化剂,加速抑郁症状的滋生,降低患共病老年人参与治疗的积极性与主动性,阻碍老年人健康水平的维持与提升[15]。因此,应当重视对老年人抑郁症状的识别与慢性病的防治,通过提高意识、定期筛查、健康教育和心理支持等方式,降低老年人失能风险。
在精神健康方面,随着居民步入老年阶段,工作状态与生活状将发生巨大的转变,这种转变可能导致老年人自我价值感与安全感的削弱,心理韧性降低,进而产生抑郁消极情绪;另外也可能由于察觉自身身体机能的衰退与周遭人事物的变迁,产生孤独感和对死亡的恐惧感与焦虑感等,这些都是老年人可能面临的心理挑战,对老年人的精神健康产生威胁。2020年处于新冠疫情的爆发时期,老年人面临更高的健康风险与更严重的社交隔离状态,这些变化可能使老年人的心理健康受到更大的影响,呈现较高的心理抑郁状态。然而本研究中老年人抑郁症状的检出率与赖锦佳、赵慧等[16-17]学者运用CHARLS2018等数据展开的研究结果相近。这样的结果有可能与新冠疫情期间居民居家隔离,代际交往更加紧密有关。居家隔离期间,家庭成员间相互关心支持,与子女同住的老年人子女孙辈的相处时间增多,可能缓解了老年人的抑郁情绪;未与子女同住的老年人在居家期间也可能收到子女更多的问候与帮助,随之增加的感情支持可能减轻了新冠疫情为老年人带来的心理压力。
本研究中提出的结果强化了共病和抑郁症状并发会恶化日常生活功能的损伤,即使对可能干扰结果的因素进行了调整,结论也是如此。由此看出,老年人的慢性病防治工作极其重要,与此同时,也不能忽视老年人的心理健康问题。因此,本研究提出以下建议。第一,重视对老年人抑郁症状的识别与慢性病的防治,强化针对老年群体的早期筛查工作,尤其是在基层医疗单位中普及筛查工具,以实现疾病的早期发现和及时干预;加快医养结合型养老服务体系建设,满足老年人慢性病管理需求。第二,深化公民健康教育,提高个人的健康素养,普及慢性病预防与心理健康相关知识,并通过均衡饮食、适当体育运动、积极参与社交文娱活动等健康促进活动,鼓励老年人形成健康的生活方式,以降低抑郁和失能风险。第三,提升公众对健康老龄化的了解,减轻居民对疾病的恐惧及心理压力;对有需要的老人展开心理疏导,提高老年人的心理韧性;组织可及性较高的社会活动,减少老年人社会隔离现象,提升老年人心理健康水平。
  • 江苏省社科应用研究精品工程课题《江苏社区嵌入式医养结合养老模式研究》(22SYC-041)
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2024年第51卷第23期
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doi: 10.20043/j.cnki.MPM.202407207
  • 接收时间:2024-07-14
  • 首发时间:2026-03-18
  • 出版时间:2024-12-10
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  • 收稿日期:2024-07-14
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江苏省社科应用研究精品工程课题《江苏社区嵌入式医养结合养老模式研究》(22SYC-041)
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    1.南京中医药大学养老服务与管理学院,江苏 南京 210023
    2.南京中医药大学卫生经济管理学院,江苏 南京 210023

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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 (%)

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