Article(id=1241771810451165372, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241771801366299468, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202406254, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1718553600000, receivedDateStr=2024-06-17, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773991070615, onlineDateStr=2026-03-20, pubDate=1729785600000, pubDateStr=2024-10-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773991070615, onlineIssueDateStr=2026-03-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773991070615, creator=13701087609, updateTime=1773991070615, updator=13701087609, issue=Issue{id=1241771801366299468, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='20', pageStart='3649', pageEnd='3840', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773991068450, creator=13701087609, updateTime=1773991676896, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241774353457681403, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241771801366299468, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241774353457681404, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241771801366299468, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=3787, endPage=3792, ext={EN=ArticleExt(id=1241771810765738189, articleId=1241771810451165372, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Association of total cholesterol level and snoring condition interaction with metabolic syndrome in Dong ethnic minority, Guizhou, columnId=null, journalTitle=Modern Preventive Medicine, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Objective

To investigate the relationship between total cholesterol (TC) levels, snoring condition with Metabolic Syndrome (MetS) in a population of 30-79 years old from the Dong ethnic minority in Guizhou Province, and to further analysethe interaction between the two on MetS.

Methods

The data of this study came from the database of the “Natural Population Cohort Study in the Gathering Places of Ethnic Minorities in Southwest China”, and a total of 5 815 people of Dong ethnic group aged 30-79 years in Guizhou Province were included, and used binary logistic regression to analyse the associations of TC level and snoring condition with MetS, respectively. A multiplicative model and an additive model were constructed for assessing the association of the interaction between TC level and snoring condition with MetS.

Results

The detection rate of metabolic syndrome was 22.08% in the population of the hereditary Dong ethnic group aged 30-79 years in Guizhou Province. In the total population, TC levels ≥5.20 mmol/L were found to be positively associated with MetS compared to participants with TC levels <5.20 mmol/L (OR=2.19, 95%CI: 1.93-2.49). In addition, snoring was positively associated with the MetS prevalence (OR:2.17, 95% CI:1.19-2.47). There was no multiplicative but additive interaction between TC level and snoring condition on MetS in the total population (the relative excess risk due to interaction=1.10, 95% CI: 0.41-1.79; the attributable proportion due to interaction=0.25, 95% CI: 0.12-0.39; the synergy index=1.49, 95% CI: 1.15-1.92).

Conclusion

In the prevention and control of MetS, attention should be paid not only to biochemical indicators such as TC levels, but also to the effect of snoring on the disease. By cultivating a healthy lifestyle, TC levels can be reduced and snoring can be improved with a view to playing a positive role in the management and control of MetS.

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目的

研究贵州省30~79岁世居侗族人群总胆固醇(Total Cholesterol,TC)水平,打鼾情况分别与代谢综合征(Metabolic Syndrome,MetS)的关系,并进一步分析两者对MetS的交互作用。

方法

本研究数据来源于“西南区域少数民族聚集地世居自然人群队列研究”数据库,共纳入5 815名贵州省30~79岁世居侗族人群,采用二分类logistic回归分析TC水平及打鼾情况分别与MetS的关系。构建相乘模型与相加模型用于评估TC水平与打鼾情况之间的交互作用与MetS的关联性。

结果

贵州省30~79岁世居侗族人群代谢综合征检出率为22.08%。在总人群中发现与TC水平<5.20 mmol/L的参与者相比,TC水平≥5.20 mmol/L与MetS患病情况呈正相关关系(OR=2.19,95% CI:1.93~2.49),此外,打鼾与MetS患病情况也呈正相关关系(OR=2.17,95% CI:1.19~2.47)。在总人群中TC水平与打鼾情况对MetS不存在相乘交互作用但存在相加交互作用(相对超额危险度=1.10,95% CI:0.41~1.79;归因比=0.25,95% CI:0.12~0.39;交互作用指数=1.49,95% CI:1.15~1.92)。

结论

在MetS的防控中,不仅要重视TC水平等生化指标,还应关注打鼾对疾病的影响。通过培养健康的生活方式,降低TC水平,改善打鼾情况,以期为MetS的管理和控制起到积极作用。

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洪峰,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=W7WKfLJD/FEw00ddy1sCfw==, magXml=qh1UBLdYkiR25D4vSm+lEQ==, pdfUrl=null, pdf=TBUZSSyt6HEN9X/qZNq6lA==, pdfFileSize=613400, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=foYzkmCeCzKj0aht39HcjQ==, mapNumber=null, authorCompany=null, fund=null, authors=

肖斐(1998—),女,硕士在读,研究方向:环境与人群毒理学

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肖斐(1998—),女,硕士在读,研究方向:环境与人群毒理学

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tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=CN, orderNo=2, keyword=总胆固醇), Keyword(id=1241771817053000200, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=CN, orderNo=3, keyword=打鼾), Keyword(id=1241771817166246417, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=CN, orderNo=4, keyword=交互作用)], refs=[Reference(id=1241771819817046657, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, doi=null, pmid=null, pmcid=null, year=2018, volume=20, issue=2, pageStart=12, pageEnd=null, url=null, language=null, rfNumber=[1], rfOrder=0, authorNames=Saklayen MG, journalName=Current Hypertension Reports, refType=null, unstructuredReference=Saklayen MG. 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Hormone Molecular Biology and Clinical Investigation, 2014, 17(2): 89-97., articleTitle=Sex hormone imbalances and adipose tissue dysfunction impacting on metabolic syndrome; a paradigm for the discovery of novel adipokines, refAbstract=null)], funds=[Fund(id=1241771819707994740, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, awardId=2017YFC0907301, language=CN, fundingSource=国家重点研发计划课题(2017YFC0907301), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241771811457798387, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, xref=null, ext=[AuthorCompanyExt(id=1241771811491352821, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, companyId=1241771811457798387, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China), AuthorCompanyExt(id=1241771811529101561, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, companyId=1241771811457798387, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=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,贵州贵阳 561113)])], figs=[ArticleFig(id=1241771817317241374, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=EN, label=Table 1, caption=

Basic information of participants[MP25P75),n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量总人群(n=5 815)MetS(n=1 284)非MetS(n=4 531)χ2值/ZP
年龄(years)52.6(45.6,61.3)54.9(48.6,61.0)52.0(44.6,61.0)-8.830<0.001
性别(%)48.888<0.001
男性2 096(36.0)569(27.1)1 527(72.9)
女性3 719(64.0)715(19.2)3 004(80.8)
教育情况3.1700.075
高中以下4 706(80.9)1017(21.6)3 689(78.4)
高中及以上1 109(19.1)267(24.1)842(75.9)
饮茶情况29.893<0.001
经常饮茶819(14.1)241(29.4)578(70.6)
偶尔饮茶或不饮茶4 996(85.9)1 043(20.9)3 953(79.1)
吸烟情况22.422<0.001
吸烟1 231(21.2)333(27.1)898(72.9)
不吸烟或已戒烟4 584(78.8)951(20.7)3 633(79.3)
饮酒情况4.1050.043
饮酒948(16.3)233(24.6)715(75.4)
从不饮酒或几乎不饮酒4 867(83.7)1 051(21.6)3 816(78.4)
总能量摄入(kcal/week)10 136.1(8 101.2,12 863.7)10 544.7(8 339.9,13 436.1)10 037.0(8 008.5,12 750.2)-3.8120.001
盐(g/week)53.7(38.0,76.7)54.0(38.2,76.7)53.7(38.0,76.7)-0.6640.507
总体力活动(MET-h/day)24.5(13.8,36.8)22.4(11.7,34.3)25.2(14.1,37.3)-5.705<0.001
TC含量(mmol/L)4.9(4.3,5.5)5.2(4.6,5.9)4.8(4.2,5.4)-13.873<0.001
TC水平166.717<0.001
<5.20 mmol/L3 702(63.7)621(16.8)3 081(83.2)
≥5.20 mmol/L2 113(36.3)663(31.4)1 450(68.6)
打鼾情况163.200<0.001
否或不清楚3 453(59.4)564(16.3)2 889(83.7)
2 362(40.6)720(30.5)1 642(69.5)
), ArticleFig(id=1241771817396933164, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=CN, label=表1, caption=

研究对象基本信息[MP25P75),n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
变量总人群(n=5 815)MetS(n=1 284)非MetS(n=4 531)χ2值/ZP
年龄(years)52.6(45.6,61.3)54.9(48.6,61.0)52.0(44.6,61.0)-8.830<0.001
性别(%)48.888<0.001
男性2 096(36.0)569(27.1)1 527(72.9)
女性3 719(64.0)715(19.2)3 004(80.8)
教育情况3.1700.075
高中以下4 706(80.9)1017(21.6)3 689(78.4)
高中及以上1 109(19.1)267(24.1)842(75.9)
饮茶情况29.893<0.001
经常饮茶819(14.1)241(29.4)578(70.6)
偶尔饮茶或不饮茶4 996(85.9)1 043(20.9)3 953(79.1)
吸烟情况22.422<0.001
吸烟1 231(21.2)333(27.1)898(72.9)
不吸烟或已戒烟4 584(78.8)951(20.7)3 633(79.3)
饮酒情况4.1050.043
饮酒948(16.3)233(24.6)715(75.4)
从不饮酒或几乎不饮酒4 867(83.7)1 051(21.6)3 816(78.4)
总能量摄入(kcal/week)10 136.1(8 101.2,12 863.7)10 544.7(8 339.9,13 436.1)10 037.0(8 008.5,12 750.2)-3.8120.001
盐(g/week)53.7(38.0,76.7)54.0(38.2,76.7)53.7(38.0,76.7)-0.6640.507
总体力活动(MET-h/day)24.5(13.8,36.8)22.4(11.7,34.3)25.2(14.1,37.3)-5.705<0.001
TC含量(mmol/L)4.9(4.3,5.5)5.2(4.6,5.9)4.8(4.2,5.4)-13.873<0.001
TC水平166.717<0.001
<5.20 mmol/L3 702(63.7)621(16.8)3 081(83.2)
≥5.20 mmol/L2 113(36.3)663(31.4)1 450(68.6)
打鼾情况163.200<0.001
否或不清楚3 453(59.4)564(16.3)2 889(83.7)
2 362(40.6)720(30.5)1 642(69.5)
), ArticleFig(id=1241771817522762293, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=EN, label=Table 2, caption=

Results of logistic regression analysis between TC level, snoring condition and MetS

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变量TC水平打鼾情况
<5.20 mmol/L≥5.20mmol/L否或不清楚
总人群
模型 11.002.27(2.00~2.57)1.002.25(1.98~2.55)
模型 21.002.19(1.93~2.49)1.002.17(1.91~2.47)
男性
模型 11.002.07(1.70~2.52)1.002.37(1.93~2.90)
模型21.002.10(1.72~2.56)1.002.34(1.90~2.89)
女性
模型 11.002.43(2.06~2.87)1.001.97(1.67~2.33)
模型21.002.11(1.78~2.50)1.001.92(1.62~2.28)
), ArticleFig(id=1241771819104014911, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=CN, label=表2, caption=

TC水平、打鼾情况与MetS的logistic回归分析结果

, figureFileSmall=null, figureFileBig=null, tableContent=
变量TC水平打鼾情况
<5.20 mmol/L≥5.20mmol/L否或不清楚
总人群
模型 11.002.27(2.00~2.57)1.002.25(1.98~2.55)
模型 21.002.19(1.93~2.49)1.002.17(1.91~2.47)
男性
模型 11.002.07(1.70~2.52)1.002.37(1.93~2.90)
模型21.002.10(1.72~2.56)1.002.34(1.90~2.89)
女性
模型 11.002.43(2.06~2.87)1.001.97(1.67~2.33)
模型21.002.11(1.78~2.50)1.001.92(1.62~2.28)
), ArticleFig(id=1241771819267592779, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=EN, label=Table 3, caption=

Multiplicative interaction between TC level and snoring condition on MetS

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交互情况模型1模型2
OR(95%CIPOR(95%CIP
总人群
TC水平2.27(1.89~2.73)<0.0012.13(1.77~2.57)<0.001
打鼾情况2.24(1.88~2.67)<0.0012.11(1.77~2.55)<0.001
TC水平*打鼾情况0.92(0.71~1.18)0.5060.96(0.74~1.25)0.773
男性
TC水平2.24(1.61~3.11)<0.0012.29(1.65~3.20)<0.001
打鼾情况2.49(1.88~3.28)<0.0012.48(1.87~3.29)<0.001
TC水平*打鼾情况0.85(0.56~1.28)0.4360.83(0.55~1.26)0.385
女性
TC水平2.28(1.83~2.85)<0.0011.95(1.55~2.44)<0.001
打鼾情况1.81(1.43~2.30)<0.0011.75(1.37~2.23)<0.001
TC水平*打鼾情况1.04(0.74~1.46)0.8121.10(0.78~1.55)0.594
), ArticleFig(id=1241771819389227602, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=CN, label=表3, caption=

TC水平与打鼾情况对MetS的相乘交互作用

, figureFileSmall=null, figureFileBig=null, tableContent=
交互情况模型1模型2
OR(95%CIPOR(95%CIP
总人群
TC水平2.27(1.89~2.73)<0.0012.13(1.77~2.57)<0.001
打鼾情况2.24(1.88~2.67)<0.0012.11(1.77~2.55)<0.001
TC水平*打鼾情况0.92(0.71~1.18)0.5060.96(0.74~1.25)0.773
男性
TC水平2.24(1.61~3.11)<0.0012.29(1.65~3.20)<0.001
打鼾情况2.49(1.88~3.28)<0.0012.48(1.87~3.29)<0.001
TC水平*打鼾情况0.85(0.56~1.28)0.4360.83(0.55~1.26)0.385
女性
TC水平2.28(1.83~2.85)<0.0011.95(1.55~2.44)<0.001
打鼾情况1.81(1.43~2.30)<0.0011.75(1.37~2.23)<0.001
TC水平*打鼾情况1.04(0.74~1.46)0.8121.10(0.78~1.55)0.594
), ArticleFig(id=1241771819489890910, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=EN, label=Table 4, caption=

Additive interaction between TC level and snoring condition on MetS

, figureFileSmall=null, figureFileBig=null, tableContent=
交互情况模型1模型2
OR(95%CIPOR(95%CIP
总人群
TC水平(0)/打鼾情况(0)a1.001.00
TC水平(1)/打鼾情况(0)b2.27(1.89~2.73)<0.0012.13(1.77~2.57)<0.001
TC水平(0)/打鼾情况(1)c2.24(1.88~2.67)<0.0012.11(1.77~2.53)<0.001
TC水平(1)/打鼾情况(1)d4.66(3.90~5.57)<0.0014.35(3.63~5.21)<0.001
RERI1.15(0.42~1.88)1.10(0.41~1.79)
AP0.25(0.11~0.38)0.25(0.12~0.39)
S1.46(1.45~1.86)1.49(1.15~1.92)
男性
TC水平(0)/打鼾情况(0)1.001.00
TC水平(1)/打鼾情况(0)2.24(1.61~3.11)<0.0012.29(1.65~3.20)<0.001
TC水平(0)/打鼾情况(1)2.49(1.88~3.28)<0.0012.48(1.87~2.29)<0.001
TC水平(1)/打鼾情况(1)4.71(3.53~6.30)<0.0014.73(3.52~6.36)<0.001
RERI0.99(-0.13~2.11)0.96(-0.19~2.10)
AP0.21(-0.00e~0.42)0.20(-0.02~0.42)
S1.36(0.95~1.96)1.34(0.93~1.93)
女性
TC水平(0)/打鼾情况(0)1.001.00
TC水平(1)/打鼾情况(0)2.28(1.83~2.85)<0.0011.95(1.55~2.44)<0.001
TC水平(0)/打鼾情况(1)1.81(1.43~2.30)<0.0011.75(1.37~2.23)<0.001
TC水平(1)/打鼾情况(1)4.32(3.42~5.45)<0.0013.73(2.95~4.73)<0.001
RERI1.22(0.30~2.14)1.04(0.22~1.86)
AP0.28(0.11~0.46)0.28(0.09~0.46)
S1.58(1.12~2.24)1.61(1.10~2.38)
), ArticleFig(id=1241771819611525737, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241771810451165372, language=CN, label=表4, caption=

TC水平与打鼾情况对MetS的相加交互作用

, figureFileSmall=null, figureFileBig=null, tableContent=
交互情况模型1模型2
OR(95%CIPOR(95%CIP
总人群
TC水平(0)/打鼾情况(0)a1.001.00
TC水平(1)/打鼾情况(0)b2.27(1.89~2.73)<0.0012.13(1.77~2.57)<0.001
TC水平(0)/打鼾情况(1)c2.24(1.88~2.67)<0.0012.11(1.77~2.53)<0.001
TC水平(1)/打鼾情况(1)d4.66(3.90~5.57)<0.0014.35(3.63~5.21)<0.001
RERI1.15(0.42~1.88)1.10(0.41~1.79)
AP0.25(0.11~0.38)0.25(0.12~0.39)
S1.46(1.45~1.86)1.49(1.15~1.92)
男性
TC水平(0)/打鼾情况(0)1.001.00
TC水平(1)/打鼾情况(0)2.24(1.61~3.11)<0.0012.29(1.65~3.20)<0.001
TC水平(0)/打鼾情况(1)2.49(1.88~3.28)<0.0012.48(1.87~2.29)<0.001
TC水平(1)/打鼾情况(1)4.71(3.53~6.30)<0.0014.73(3.52~6.36)<0.001
RERI0.99(-0.13~2.11)0.96(-0.19~2.10)
AP0.21(-0.00e~0.42)0.20(-0.02~0.42)
S1.36(0.95~1.96)1.34(0.93~1.93)
女性
TC水平(0)/打鼾情况(0)1.001.00
TC水平(1)/打鼾情况(0)2.28(1.83~2.85)<0.0011.95(1.55~2.44)<0.001
TC水平(0)/打鼾情况(1)1.81(1.43~2.30)<0.0011.75(1.37~2.23)<0.001
TC水平(1)/打鼾情况(1)4.32(3.42~5.45)<0.0013.73(2.95~4.73)<0.001
RERI1.22(0.30~2.14)1.04(0.22~1.86)
AP0.28(0.11~0.46)0.28(0.09~0.46)
S1.58(1.12~2.24)1.61(1.10~2.38)
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总胆固醇水平与打鼾情况交互作用对贵州省侗族人群代谢综合征的影响
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肖斐 , 王媛 , 胡宇欣 , 周恩慧 , 申毅力 , 洪峰
现代预防医学 | 疾病预防控制 2024,51(20): 3787-3792
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现代预防医学 | 疾病预防控制 2024, 51(20): 3787-3792
总胆固醇水平与打鼾情况交互作用对贵州省侗族人群代谢综合征的影响
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肖斐, 王媛, 胡宇欣, 周恩慧, 申毅力, 洪峰
作者信息
  • 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,贵州贵阳 561113
  • 肖斐(1998—),女,硕士在读,研究方向:环境与人群毒理学

通讯作者:

洪峰,E-mail:
Association of total cholesterol level and snoring condition interaction with metabolic syndrome in Dong ethnic minority, Guizhou
Fei XIAO, Yuan WANG, Yu-xin HU, En-hui ZHOU, Yi-li SHEN, Feng HONG
Affiliations
  • School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 561113, China
出版时间: 2024-10-25 doi: 10.20043/j.cnki.MPM.202406254
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目的

研究贵州省30~79岁世居侗族人群总胆固醇(Total Cholesterol,TC)水平,打鼾情况分别与代谢综合征(Metabolic Syndrome,MetS)的关系,并进一步分析两者对MetS的交互作用。

方法

本研究数据来源于“西南区域少数民族聚集地世居自然人群队列研究”数据库,共纳入5 815名贵州省30~79岁世居侗族人群,采用二分类logistic回归分析TC水平及打鼾情况分别与MetS的关系。构建相乘模型与相加模型用于评估TC水平与打鼾情况之间的交互作用与MetS的关联性。

结果

贵州省30~79岁世居侗族人群代谢综合征检出率为22.08%。在总人群中发现与TC水平<5.20 mmol/L的参与者相比,TC水平≥5.20 mmol/L与MetS患病情况呈正相关关系(OR=2.19,95% CI:1.93~2.49),此外,打鼾与MetS患病情况也呈正相关关系(OR=2.17,95% CI:1.19~2.47)。在总人群中TC水平与打鼾情况对MetS不存在相乘交互作用但存在相加交互作用(相对超额危险度=1.10,95% CI:0.41~1.79;归因比=0.25,95% CI:0.12~0.39;交互作用指数=1.49,95% CI:1.15~1.92)。

结论

在MetS的防控中,不仅要重视TC水平等生化指标,还应关注打鼾对疾病的影响。通过培养健康的生活方式,降低TC水平,改善打鼾情况,以期为MetS的管理和控制起到积极作用。

代谢综合征  /  总胆固醇  /  打鼾  /  交互作用
Objective

To investigate the relationship between total cholesterol (TC) levels, snoring condition with Metabolic Syndrome (MetS) in a population of 30-79 years old from the Dong ethnic minority in Guizhou Province, and to further analysethe interaction between the two on MetS.

Methods

The data of this study came from the database of the “Natural Population Cohort Study in the Gathering Places of Ethnic Minorities in Southwest China”, and a total of 5 815 people of Dong ethnic group aged 30-79 years in Guizhou Province were included, and used binary logistic regression to analyse the associations of TC level and snoring condition with MetS, respectively. A multiplicative model and an additive model were constructed for assessing the association of the interaction between TC level and snoring condition with MetS.

Results

The detection rate of metabolic syndrome was 22.08% in the population of the hereditary Dong ethnic group aged 30-79 years in Guizhou Province. In the total population, TC levels ≥5.20 mmol/L were found to be positively associated with MetS compared to participants with TC levels <5.20 mmol/L (OR=2.19, 95%CI: 1.93-2.49). In addition, snoring was positively associated with the MetS prevalence (OR:2.17, 95% CI:1.19-2.47). There was no multiplicative but additive interaction between TC level and snoring condition on MetS in the total population (the relative excess risk due to interaction=1.10, 95% CI: 0.41-1.79; the attributable proportion due to interaction=0.25, 95% CI: 0.12-0.39; the synergy index=1.49, 95% CI: 1.15-1.92).

Conclusion

In the prevention and control of MetS, attention should be paid not only to biochemical indicators such as TC levels, but also to the effect of snoring on the disease. By cultivating a healthy lifestyle, TC levels can be reduced and snoring can be improved with a view to playing a positive role in the management and control of MetS.

Metabolic syndrome  /  Total cholesterol  /  Snoring  /  Interaction effects
肖斐, 王媛, 胡宇欣, 周恩慧, 申毅力, 洪峰. 总胆固醇水平与打鼾情况交互作用对贵州省侗族人群代谢综合征的影响. 现代预防医学, 2024 , 51 (20) : 3787 -3792 . DOI: 10.20043/j.cnki.MPM.202406254
Fei XIAO, Yuan WANG, Yu-xin HU, En-hui ZHOU, Yi-li SHEN, Feng HONG. Association of total cholesterol level and snoring condition interaction with metabolic syndrome in Dong ethnic minority, Guizhou[J]. Modern Preventive Medicine, 2024 , 51 (20) : 3787 -3792 . DOI: 10.20043/j.cnki.MPM.202406254
代谢综合征(Metabolic Syndrome,MetS)也称为X综合征,是以腹部肥胖,胰岛素抵抗,高血压和高脂血症为特征的一种病理状况[1]。随着人们生活方式的改变,如高热量食物摄入的增加以及身体活动的减少等,MetS的患病率正在逐年稳步增长,从而在大多数国家和地区造成了巨大的健康和社会经济成本[2]。打鼾是一种常见的睡眠呼吸障碍,有Meta分析显示,打鼾可能是MetS的危险因素,且两者之间存在剂量-反应关系[3]。而个体水平上总胆固醇(Total Cholesterol,TC)的升高,也被发现与MetS发病风险的增加有关[4]。打鼾者易出现间歇性低氧和睡眠碎片化等情况,从而引起体内全身炎症,氧化应激,交感神经活动升高等病理变化,导致脂质代谢紊乱[5]。有研究发现,与不打鼾者相比,重度打鼾者与高TC血症患病情况呈正相关关系[6]。因此,本研究基于“西南区域少数民族聚集地世居自然人群队列研究”项目,探讨贵州省30~79岁世居侗族人群TC水平,打鼾情况分别与MetS的关系,并进一步分析两者对MetS的交互作用,为当地MetS的预防及控制提供一定的科学依据。
本研究数据来源于“西南区域少数民族聚集地世居自然人群队列研究”数据库,基线调查于2018年7月至2019年8月在贵州省黔南布依族苗族自治州和黔东南苗族侗族自治州进行。选取贵州省30~79岁世居侗族人群为研究对象,在排除了患有精神性疾病或恶性肿瘤、生物样本未采集以及其他重要变量缺失者后,共有5 815人被纳入此次研究。本研究获得了四川大学华西医院医学伦理委员会(K2016038)和贵州医科大学附属医院医学伦理委员会(2018[094])的批准,且调查对象在问卷调查前均签署了知情同意书。
调查问卷由经过培训的调查员采用电子问卷与调查对象面对面进行沟通,全程录音质控,调查内容包括研究对象的基本信息、行为危险因素、睡眠情况等。体格检查项目包括身高、体重、腰围、臀围、血压、心率等,参照《内科学》第八版体格检查标准,由经过统一培训的工作人员进行。所有受试者禁食8小时以上,由专业护士采集静脉血。使用全自动生化分析仪(Hitachi 7180,日本东京)检测血液生化指标,如TC、甘油三酯(triglyceride,TG)、高密度脂蛋白胆固醇(High density lipoprotein cholesterol,HDL-C)等。
结合《中国2型糖尿病防治指南(2020年版)》与实际调查情况,具备以下3项或更多项即可诊断MetS:(1)腹型肥胖:男性腰围≥90 cm,女性腰围≥85 cm;(2)高血糖:空腹血糖≥6.1 mmol/L或糖负荷后2小时血糖≥7.8 mmol/L 和(或)已确诊为糖尿病并治疗者;(3)高血压:血压≥130/85 mmHg和(或)已确认为高血压并治疗者;(4)空腹TG≥1.70 mmol/L者;(5)空腹HDL-C<1.04 mmol/L者。吸烟定义为:截至问卷调查当天,吸烟已超过100根;饮酒定义为:过去一年内每月至少饮酒一次或于农忙时规律饮酒;饮茶定义为:每周都喝茶并持续半年以上;总能量摄入通过食物摄入量乘以单位能量矩阵来计算,单位为千卡/周(kcal/week);总体力活动是职业、交通、家务和休闲活动相关的代谢当量的总和,单位为MET-小时/天(MET-h/day);TC水平根据《中国血脂管理指南(2023年)》中动脉粥样硬化心血管疾病低危人群参考标准,以5.20 mmol/L为界分为两组[7];打鼾情况根据被调查者自述睡觉时是否有打鼾习惯,分为两组。
本研究中连续型变量不服从正态分布,采用中位数MP25P75)描述并采用Mann-Whitney U检验进行组间比较;分类变量采用频数(构成比)表示并采用卡方检验来比较有无MetS人群的差异。采用二分类logistic回归分析TC水平及打鼾情况分别与MetS的关系,并对性别进行分层分析。构建相乘模型与相加模型用于评估TC水平与打鼾情况之间的交互作用与MetS的关联性,通过比值比(Odds ratioOR)及95%置信区间(Confidence intervalCI)判断是否存在相乘交互作用;通过相对超额危险度(the relative excess risk due to interaction,RERI)、归因比(the attributable proportion due to interaction,AP)和交互作用指数(the synergy index,S)这三个指标判断是否存在相加交互作用。数据分析采用IBM SPSS 25.0和R 4.3.2进行。检验水准α=0.05。
本研究共纳入5 815名参与者,MetS患者有1 284人,检出率为22.08%。两组之间在年龄、总能量摄入、总体力活动、TC含量之间存在统计学意义(P<0.05)。相较于非MetS组,MetS组中男性、TC水平≥5.20mmol/L、存在打鼾情况的人群占比更多,且更喜欢饮茶、吸烟、饮酒。在教育情况和食盐摄入方面,MetS组和非MetS组之间不存在统计学差异(P>0.05)。见表1
根据TC水平和打鼾情况各分为两组。未调整协变量前,在总人群中,与TC水平<5.20 mmol/L的参与者相比,TC水平≥5.20 mmol/L与MetS患病情况呈正相关关系(OR=2.27,95% CI:2.00~2.57),进一步调整协变量,模型依旧保持稳定。另一方面,在对协变量进行调整后,打鼾与MetS患病情况在总人群中(OR=2.17,95% CI:1.19~2.47)、男性人群中(OR=2.34,95% CI:1.90~2.89)、女性人群中(OR=1.92,95% CI:1.62~2.28)均呈正相关关系。见表2
无论在总人群,还是男性/女性人群中,TC水平与打鼾情况对MetS均不存在相乘交互作用(P>0.05),控制了协变量之后,结果仍旧未改变。见表3
在调整了一系列协变量后,总人群中,与TC水平<5.20 mmol/L且不打鼾的参与者相比,TC水平≥5.20 mmol/L且打鼾与MetS患病情况呈正相关关系(OR=4.35,95% CI:3.63~5.21)。TC水平≥5.20 mmol/L与打鼾对MetS存在相加交互作用,且是其他或未知因子的1.1倍(RERI=1.10,95% CI:0.41~1.79)。两者同时存在时对MetS产生的效应为两者单独效应之和的1.49倍(S=1.49,95% CI:1.15~1.92)。此外,MetS的患病风险有25%可归因于TC水平≥5.20 mmol/L和打鼾的协同作用(AP=0.25,95% CI:0.12~0.39)。女性人群中观察到了类似的结果(RERI=1.04,95% CI:0.22~1.86;AP=0.28,95% CI:0.09~0.46;S=1.61,95% CI:1.10~2.38),而在男性人群中,TC水平与打鼾情况则对MetS不存在相加交互作用(RERI=0.96,95% CI:-0.19~2.10;AP=0.20,95% CI:-0.02~0.42;S=1.34,95% CI:0.93~1.93)。见表4
本研究发现,贵州省30~79岁世居侗族人群MetS检出率为22.08%。在不同地区和国家,MetS的患病情况有所差异,有研究显示墨西哥成年人中MetS患病率为44.2%[8],伊朗为36.9%[9],而Yang等人发现自1999—2018年,美国人MetS的患病率从28.23%上升到37.09%[10]。不同的诊断标准、生活方式和饮食习惯均可能是造成此种结果的原因。
TC是指血液中所有脂蛋白所含胆固醇的总和,外界的摄入与体内代谢是维持TC平衡的关键因素。本研究发现,在患有MetS的人群中,TC水平≥5.20 mmol/L者的比例高于TC水平<5.20 mmol/L者。且关联性分析的结果显示TC水平≥5.20 mmol/L者与MetS之间存在正相关关系,与李孟等人的研究结果相似[4]。这可能是因为TC可以通过MetS中的某一组分而对MetS整体产生影响。一方面,血液中过量的胆固醇可以在动脉壁上积聚、形成斑块,降低弹性动脉的扩张性,从而对血压造成影响[11];另外一方面,过量的胆固醇也可能通过改变β细胞的钾通道来降低葡萄糖激酶的活性,从而影响胰岛素信号传导,最终降低葡萄糖的代谢[12]
同样,在本研究中,总人群中打鼾与MetS患病情况呈正相关关系,在进行性别分层后,此关联性仍旧存在。此外,打鼾者MetS的检出率(30.5%)也高于非MetS者(16.3%)。与本研究的结果相似,韩国成年人的打鼾频率被发现与MetS及其组分患病风险增加有关[13],而在我国福州市进行的一项横断面研究也发现了类似的结果[14]。这可能是因为夜间打鼾易引起间歇性缺氧,动物实验证明,长期间歇性暴露于缺氧环境中,可导致氧化应激增加和自主神经功能失调,从而出现包括胰岛素抵抗和血脂异常在内的代谢性紊乱[15-16]
此外,在总人群中,TC水平与打鼾情况对MetS患病情况存在相加交互作用。有横断面研究显示,打鼾与TC水平的升高呈正相关关系[17]。间歇性缺氧是打鼾者的特征之一,其与硬脂酰辅酶A去饱和酶-1的生成、脂质过氧化和交感功能障碍等有关,而这些因素共同创造了一个促炎环境,可导致包含TC水平升高在内的血脂异常情况发生[18-19]。因此,在打鼾与TC水平≥5.20 mmol/L各自与MetS患病呈正相关关系的情况下,两者同时存在时,可能会增加对MetS患病产生的影响。当进行性别分层时,产生了不一致的结果,仅在女性人群观察到这种交互作用,这可能与女性体内激素水平的变化有关,其与内脏脂肪组织功能障碍和内脏肥胖均有着一定联系[20]
综上所述,本研究发现了在侗族人群中,打鼾、TC水平≥5.20 mmol/L均与MetS患病有关,且两者存在相加交互作用。这提示了在MetS的防控中,不仅要重视TC水平等生化指标,还应关注打鼾对于疾病的影响。通过培养健康的生活方式,降低TC水平,改善打鼾情况,以期为MetS的管理和控制起到积极作用。由于本研究为横断面研究,尚不能确认因果关系,未来仍需前瞻性研究来证实打鼾、TC水平及其交互作用与MetS关联性。
  • 国家重点研发计划课题(2017YFC0907301)
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2024年第51卷第20期
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doi: 10.20043/j.cnki.MPM.202406254
  • 接收时间:2024-06-17
  • 首发时间:2026-03-20
  • 出版时间:2024-10-25
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  • 收稿日期:2024-06-17
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国家重点研发计划课题(2017YFC0907301)
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    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,贵州贵阳 561113

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
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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