Article(id=1241322671917560001, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241322661654098823, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202307478, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1690300800000, receivedDateStr=2023-07-26, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773883987644, onlineDateStr=2026-03-19, pubDate=1706112000000, pubDateStr=2024-01-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773883987644, onlineIssueDateStr=2026-03-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773883987644, creator=13701087609, updateTime=1773883987644, updator=13701087609, issue=Issue{id=1241322661654098823, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='2', pageStart='193', pageEnd='384', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773883985198, creator=13701087609, updateTime=1773890256678, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241348966214849502, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241322661654098823, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241348966214849503, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241322661654098823, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=210, endPage=215, ext={EN=ArticleExt(id=1241322673553338607, articleId=1241322671917560001, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Socio-economic disparity in the global burden of diabetes mellitus: an analysis for 2019 with time trends since 1990, columnId=1228016567443718970, journalTitle=Modern Preventive Medicine, columnName=Epidemiology and Statistical Methods Advances, runingTitle=null, highlight=null, articleAbstract=
Objective To use disability-adjusted life years(DALYs) to assess unequal differences in the burden of disease due to diabetes across global socioeconomic groups.
Methods Number of DALYs due to diabetes, age-standardized DALYs rates from the GBD database, 1990-2019, and national Human Development Index(HDI) data from the Human Development Report 2021-2022 were collected. The relationship between age-standardized DALY rates and HDI was analyzed to understand socioeconomic differences in diabetes disease burden. Calculation of Annual Percentage Change(APC) and Average Annual Percentage Change(AAPC) to assess temporal trends in the burden of diabetes disease during recent decades.
Results From 1990-2019, the number of DALYs due to diabetes globally increased from 28.3 million to 69.9 million, an increase of 146.85%, with the fastest growth(206.49%) in Lower middle-income countries. The age-standardized DALYs rates were negatively correlated with HDI(r=-0.480, P<0.001). Countries with medium HDI exhibit higher DALYs rates due to diabetes mellitus. From 1990-2019, the average annual increase in the rate of age-standardized DALYs was 0.78%(AAPC=0.78%, 95% CI=0.74% to 0.81%), and the average annual increase in the age-standardized mortality rate was 0.46%(AAPC=0.46%, 95% CI=0.41%~0.51%).
Conclusion The global burden of diabetes disease has increased substantially over the last few decades, with the fastest growth in Lower middle-income countries. The age-standardized burden was higher in developing countries. Although a slower increase in the burden of diabetes was observed, the persistence of the increase in the burden of disease suggests that more diabetes prevention programs and health-care services should be made available to developing countries.
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目的 利用伤残调整生命年(DALYs)评估糖尿病引起的疾病负担在全球社会经济群体中不平等差异。
方法 收集来自GBD数据库的1990—2019年因糖尿病导致的DALYs数、年龄标准化DALYs率和来自《2021—22年人类发展报告》的国家人类发展指数(HDI)数据。分析了年龄标准化DALYs率与HDI之间的关系,了解糖尿病疾病负担的社会经济差异。计算年度变化百分比(APC)和平均年度变化百分比(AAPC)评估近几十年期间糖尿病负担的时间变化趋势。
结果 从1990—2019年,全球因糖尿病导致的DALYs数从2.83千万增长至6.99千万,增幅为146.85%,其中中低收入国家增长最快(206.49%)。年龄标准化DALYs率与HDI呈负相关(r=-0.480,P<0.001)。HDI中等的国家因糖尿病而表现出较高的DALYs率。从1990—2019年,年龄标准化DALYs率年均增长0.78%(AAPC=0.78%,95% CI为0.74%~0.81%),年龄标准化死亡率的年均增长为0.46%(AAPC=0.46%,95% CI:0.41%~0.51%)。
结论 在过去几十年中,全球糖尿病负担大大增加,其中,中低收入国家增长最快。在发展中国家,糖尿病年龄标准化负担更高。虽然观察到糖尿病负担增长速度变慢,但疾病负担增长的持续存在表明应该为发展中国家提供更多的糖尿病预防方案和保健服务。
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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=3bPHHaXAzxHtZHwb7vVlxw==, magXml=maE1k8ZWXkRYkEnWNr09aA==, pdfUrl=null, pdf=ICq4alf0/xGbl0HFdGbMZw==, pdfFileSize=740246, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=mRbL037EXg+aZfmlORlUBA==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=HY2E9gm8AwQRaKLcYFfVMQ==, mapNumber=null, authorCompany=null, fund=null, authors=
吴秀强(2000—),女,硕士在读,研究方向:慢性病流行病学
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27(6): 650-654, 690., articleTitle=Disease burden of type 2 diabetes mellitus in China from 1990 to 2019, refAbstract=null)], funds=[Fund(id=1241322687251936088, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, awardId=20192BBGL70016, language=CN, fundingSource=江西省科技厅重点研发项目(20192BBGL70016), fundOrder=null, country=null), Fund(id=1241322687310656348, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, awardId=GJJ190047, language=CN, fundingSource=江西省教育厅科学技术研究项目(GJJ190047), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241322678909465110, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, xref=1., ext=[AuthorCompanyExt(id=1241322678917853721, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, companyId=1241322678909465110, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=The First Affiliated Hospital and School of Nursing of Nanchang University, Nanchang, Jiangxi 330000, China), AuthorCompanyExt(id=1241322678926242330, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, companyId=1241322678909465110, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.南昌大学第一附属医院,江西 南昌 330000)]), AuthorCompany(id=1241322679039488545, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, xref=2., ext=[AuthorCompanyExt(id=1241322679052071460, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, companyId=1241322679039488545, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
2.南昌大学护理学院)])], figs=[ArticleFig(id=1241322684093625101, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=EN, label=Fig.1, caption=
The global burden of diabetes mellitus in terms of number of DALYs by economic status, figureFileSmall=qpQw5Uu4ZUVixPvmMo9WKA==, figureFileBig=mRbL037EXg+aZfmlORlUBA==, tableContent=null), ArticleFig(id=1241322684219454225, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=CN, label=图1, caption=
按经济地位分类的全球糖尿病DALYs数量, figureFileSmall=qpQw5Uu4ZUVixPvmMo9WKA==, figureFileBig=mRbL037EXg+aZfmlORlUBA==, tableContent=null), ArticleFig(id=1241322684462723872, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=EN, label=Fig.2, caption=
The burden of diabetes mellitus in terms of age-standardized DALY rates was inversely correlated with national socio-economic development. The best-fitted line by linear regression analysis is presented, figureFileSmall=nltMk2s8phvW2tvyeaoS3w==, figureFileBig=d2cJx5ws5c6I6JBTkeKmoA==, tableContent=null), ArticleFig(id=1241322684559192867, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=CN, label=图2, caption=
糖尿病年龄标准化DALYs率与国家经济发展呈负相关,画出了线性回归分析最佳拟合线, figureFileSmall=nltMk2s8phvW2tvyeaoS3w==, figureFileBig=d2cJx5ws5c6I6JBTkeKmoA==, tableContent=null), ArticleFig(id=1241322684668244778, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=EN, label=Fig.3, caption=
Differences in rates of age-standardized DALYs for diabetes mellitus in countries with different socioeconomic status, figureFileSmall=HBHmwdTne8BSWW7bUHAuRQ==, figureFileBig=L8CQav7W0Xr1ZknvFLhaig==, tableContent=null), ArticleFig(id=1241322686203360046, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=CN, label=图3, caption=
不同社会经济地位国家糖尿病年龄标准化DALYs率的差异, figureFileSmall=HBHmwdTne8BSWW7bUHAuRQ==, figureFileBig=L8CQav7W0Xr1ZknvFLhaig==, tableContent=null), ArticleFig(id=1241322686324994868, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=EN, label=Fig.4, caption=
The change trends of global diabetes mellitus in terms of age-standardized Deaths rates from 1990 to 2019, figureFileSmall=b8LWDjPv5rGtVvFX89hGrw==, figureFileBig=7DPG8wam4eWKN6L3sg//YA==, tableContent=null), ArticleFig(id=1241322686425658170, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=CN, label=图4, caption=
1990—2019年全球糖尿病标化死亡率变化趋势注:*表示Joinpoint回归分析有统计学意义(P<0.05)。
, figureFileSmall=b8LWDjPv5rGtVvFX89hGrw==, figureFileBig=7DPG8wam4eWKN6L3sg//YA==, tableContent=null), ArticleFig(id=1241322686534710077, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=EN, label=Fig.5, caption=
The change trends of global diabetes mellitus in terms of age-standardized DALYs rates from 1990 to 2019, figureFileSmall=F73Qmxt5kZ5jznxx4Qo6rg==, figureFileBig=Zd95oI2AasRhKv76UeChaA==, tableContent=null), ArticleFig(id=1241322686639567681, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=CN, label=图5, caption=
1990—2019年全球糖尿病标化DALYs率变化趋势注:*表示Joinpoint回归分析有统计学意义(P<0.05)。
, figureFileSmall=F73Qmxt5kZ5jznxx4Qo6rg==, figureFileBig=Zd95oI2AasRhKv76UeChaA==, tableContent=null), ArticleFig(id=1241322686752813892, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=EN, label=Table 1, caption=
The global burden of diabetes mellitus in terms of number of DALYs, grouped by economic status
, figureFileSmall=null, figureFileBig=null, tableContent=
| 组别 | 1990年n(%) | 2019年n(%) | 变化率 |
|---|
| 高收入国家组 | 7 468 985 (26.37) | 13 761 234 (19.68) | 84.25% |
| 中高收入国家组 | 9 217 490 (32.54) | 22 027 980 (31.50) | 138.98% |
| 中低收入国家组 | 9 989 019 (35.27) | 30 615 644 (43.79) | 206.49% |
| 低收入国家组 | 1 649 137 (5.82) | 3 515 071 (5.03) | 113.15% |
| 全球 | 28 324 631(100.00) | 69 919 929(100.00) | 146.85% |
), ArticleFig(id=1241322686866060105, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=CN, label=表1, caption=
按经济状况分组的全球糖尿病DALYs负担
, figureFileSmall=null, figureFileBig=null, tableContent=
| 组别 | 1990年n(%) | 2019年n(%) | 变化率 |
|---|
| 高收入国家组 | 7 468 985 (26.37) | 13 761 234 (19.68) | 84.25% |
| 中高收入国家组 | 9 217 490 (32.54) | 22 027 980 (31.50) | 138.98% |
| 中低收入国家组 | 9 989 019 (35.27) | 30 615 644 (43.79) | 206.49% |
| 低收入国家组 | 1 649 137 (5.82) | 3 515 071 (5.03) | 113.15% |
| 全球 | 28 324 631(100.00) | 69 919 929(100.00) | 146.85% |
), ArticleFig(id=1241322686970917712, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=EN, label=Table 2, caption=
Trend of the standardized rates of various disease burden indicators of diabetes mellitus in Global from 1990 to 2019
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 区间段 | 变化率(%) | 95% CI | t值 | P值 |
|---|
| 死亡率 | | | | | |
| APC | 1990—1997 | 1.464 | 1.372~1.556 | 33.477 | <0.001 |
| 1997—2005 | 1.055 | 0.970~1.141 | 25.983 | <0.001 |
| 2005—2012 | -0.613 | -0.723~-0.503 | -11.620 | <0.001 |
| 2012—2019 | -0.137 | -0.244~-0.031 | -2.695 | <0.050 |
| AAPC | 1990—2019 | 0.460 | 0.414~0.506 | 19.580 | <0.001 |
| DALYs率 | | | | | |
| APC | 1990—1997 | 1.561 | 1.498~1.625 | 51.943 | <0.001 |
| 1997—2005 | 1.159 | 1.097~1.222 | 39.105 | <0.001 |
| 2005—2012 | -0.004 | -0.086~0.078 | -0.105 | >0.050 |
| 2012—2019 | 0.335 | 0.262~0.407 | 9.649 | <0.001 |
| AAPC | 1990-2019 | 0.775 | 0.742~0.808 | 46.332 | <0.050 |
), ArticleFig(id=1241322687096746835, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241322671917560001, language=CN, label=表2, caption=
1990—2019年全球糖尿病各疾病负担指标标化率的变化趋势
, figureFileSmall=null, figureFileBig=null, tableContent=
| 指标 | 区间段 | 变化率(%) | 95% CI | t值 | P值 |
|---|
| 死亡率 | | | | | |
| APC | 1990—1997 | 1.464 | 1.372~1.556 | 33.477 | <0.001 |
| 1997—2005 | 1.055 | 0.970~1.141 | 25.983 | <0.001 |
| 2005—2012 | -0.613 | -0.723~-0.503 | -11.620 | <0.001 |
| 2012—2019 | -0.137 | -0.244~-0.031 | -2.695 | <0.050 |
| AAPC | 1990—2019 | 0.460 | 0.414~0.506 | 19.580 | <0.001 |
| DALYs率 | | | | | |
| APC | 1990—1997 | 1.561 | 1.498~1.625 | 51.943 | <0.001 |
| 1997—2005 | 1.159 | 1.097~1.222 | 39.105 | <0.001 |
| 2005—2012 | -0.004 | -0.086~0.078 | -0.105 | >0.050 |
| 2012—2019 | 0.335 | 0.262~0.407 | 9.649 | <0.001 |
| AAPC | 1990-2019 | 0.775 | 0.742~0.808 | 46.332 | <0.050 |
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