Víctor Juan Vera-Ponce , Fiorella E. Zuzunaga-Montoya , Luisa Erika Milagros Vásquez-Romero , Joan A. Loayza-Castro , Cori Raquel Iturregui Paucar , Carmen Inés Gutiérrez De Carrillo , Mario J. Valladares-Garrido , Maritza Placencia Medina
{"title":"将肥胖的人体测量指标作为糖尿病前期的风险指标。系统回顾和荟萃分析","authors":"Víctor Juan Vera-Ponce , Fiorella E. Zuzunaga-Montoya , Luisa Erika Milagros Vásquez-Romero , Joan A. Loayza-Castro , Cori Raquel Iturregui Paucar , Carmen Inés Gutiérrez De Carrillo , Mario J. Valladares-Garrido , Maritza Placencia Medina","doi":"10.1016/j.deman.2024.100230","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Several previous studies have provided evidence that obesity is a significant risk factor for the increase in prediabetes, but there are discrepancies regarding whether all the classic ways of measuring obesity, the body mass index (BMI), the waist circumference (WC) or the Waist to height ratio (WHtR) present the same level of risk.</p></div><div><h3>Objective</h3><p>to carry out a systematic review (SR) with meta-analysis to determine the association between indicators of obesity and prediabetes.</p></div><div><h3>Methods</h3><p>A systematic review (SR) with a meta-analysis of observational studies was performed. The search was conducted in four databases: Pubmed/Medline, SCOPUS, Web of Science, and EMBASE. Association measures were presented as odds ratios (OR), relative risk (RR), or hazard ratio (HR), together with their 95% confidence intervals (95% CI).</p></div><div><h3>Results</h3><p>Of the total number of manuscripts chosen, 12 had an analytical cross-sectional design, and 4 were cohort studies. For the cross-sectional studies, together they presented a statistically significant association for BMI (OR: 1.99; 95% CI 1.65 – 1.34), WC (OR: 1.41; 95% CI 1.30 – 1.54), and WHtR (OR: 2.47 IC 95 % 1.50 – 4.06). In the meta-analysis of the cohort studies, an association was found with WC (RR: 4.95; 95% CI 3.42 – 7.17) but not with BMI (HR: 1.22; 95% CI 0.81 – 1.85). There were no studies with WHtR.</p></div><div><h3>Conclusions</h3><p>According to the results, considering cohort studies, WC could be the best risk indicator for prediabetes. There is a high degree of heterogeneity between the studies about the way obesity is measured, including the cut-off points used, so further longitudinal studies are needed to evaluate the association and confirm the results found.</p></div>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666970624000350/pdfft?md5=f6755fe212739b3c2af790ce9df1b1af&pid=1-s2.0-S2666970624000350-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Anthropometric measures of obesity as risk indicators for prediabetes. A systematic review and meta-analysis\",\"authors\":\"Víctor Juan Vera-Ponce , Fiorella E. Zuzunaga-Montoya , Luisa Erika Milagros Vásquez-Romero , Joan A. Loayza-Castro , Cori Raquel Iturregui Paucar , Carmen Inés Gutiérrez De Carrillo , Mario J. Valladares-Garrido , Maritza Placencia Medina\",\"doi\":\"10.1016/j.deman.2024.100230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Several previous studies have provided evidence that obesity is a significant risk factor for the increase in prediabetes, but there are discrepancies regarding whether all the classic ways of measuring obesity, the body mass index (BMI), the waist circumference (WC) or the Waist to height ratio (WHtR) present the same level of risk.</p></div><div><h3>Objective</h3><p>to carry out a systematic review (SR) with meta-analysis to determine the association between indicators of obesity and prediabetes.</p></div><div><h3>Methods</h3><p>A systematic review (SR) with a meta-analysis of observational studies was performed. The search was conducted in four databases: Pubmed/Medline, SCOPUS, Web of Science, and EMBASE. Association measures were presented as odds ratios (OR), relative risk (RR), or hazard ratio (HR), together with their 95% confidence intervals (95% CI).</p></div><div><h3>Results</h3><p>Of the total number of manuscripts chosen, 12 had an analytical cross-sectional design, and 4 were cohort studies. For the cross-sectional studies, together they presented a statistically significant association for BMI (OR: 1.99; 95% CI 1.65 – 1.34), WC (OR: 1.41; 95% CI 1.30 – 1.54), and WHtR (OR: 2.47 IC 95 % 1.50 – 4.06). In the meta-analysis of the cohort studies, an association was found with WC (RR: 4.95; 95% CI 3.42 – 7.17) but not with BMI (HR: 1.22; 95% CI 0.81 – 1.85). There were no studies with WHtR.</p></div><div><h3>Conclusions</h3><p>According to the results, considering cohort studies, WC could be the best risk indicator for prediabetes. There is a high degree of heterogeneity between the studies about the way obesity is measured, including the cut-off points used, so further longitudinal studies are needed to evaluate the association and confirm the results found.</p></div>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666970624000350/pdfft?md5=f6755fe212739b3c2af790ce9df1b1af&pid=1-s2.0-S2666970624000350-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666970624000350\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666970624000350","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
导言：以往的一些研究证明，肥胖是糖尿病前期发病率上升的一个重要风险因素，但对于所有测量肥胖的经典方法，即体重指数（BMI）、腰围（WC）或腰围与身高比（WHtR）是否具有相同的风险水平，却存在分歧。方法 对观察性研究进行了系统回顾（SR）和荟萃分析。在四个数据库中进行了检索：Pubmed/Medline、SCOPUS、Web of Science 和 EMBASE。结果 在所有被选中的稿件中，12 篇采用横断面分析设计，4 篇为队列研究。在横断面研究中，BMI（OR：1.99；95% CI 1.65 - 1.34）、WC（OR：1.41；95% CI 1.30 - 1.54）和 WHtR（OR：2.47 IC 95 % 1.50 - 4.06）在统计学上有显著关联。在队列研究的荟萃分析中，发现了与体重指数（BMI）（HR：1.22；95% CI 0.81 - 1.85）的关联（RR：4.95；95% CI 3.42 - 7.17）。结论根据研究结果，考虑到队列研究，WC 可能是糖尿病前期的最佳风险指标。不同研究对肥胖的测量方法（包括所用的截断点）存在很大程度的异质性，因此需要进一步的纵向研究来评估两者之间的关联并证实所发现的结果。
Anthropometric measures of obesity as risk indicators for prediabetes. A systematic review and meta-analysis
Introduction
Several previous studies have provided evidence that obesity is a significant risk factor for the increase in prediabetes, but there are discrepancies regarding whether all the classic ways of measuring obesity, the body mass index (BMI), the waist circumference (WC) or the Waist to height ratio (WHtR) present the same level of risk.
Objective
to carry out a systematic review (SR) with meta-analysis to determine the association between indicators of obesity and prediabetes.
Methods
A systematic review (SR) with a meta-analysis of observational studies was performed. The search was conducted in four databases: Pubmed/Medline, SCOPUS, Web of Science, and EMBASE. Association measures were presented as odds ratios (OR), relative risk (RR), or hazard ratio (HR), together with their 95% confidence intervals (95% CI).
Results
Of the total number of manuscripts chosen, 12 had an analytical cross-sectional design, and 4 were cohort studies. For the cross-sectional studies, together they presented a statistically significant association for BMI (OR: 1.99; 95% CI 1.65 – 1.34), WC (OR: 1.41; 95% CI 1.30 – 1.54), and WHtR (OR: 2.47 IC 95 % 1.50 – 4.06). In the meta-analysis of the cohort studies, an association was found with WC (RR: 4.95; 95% CI 3.42 – 7.17) but not with BMI (HR: 1.22; 95% CI 0.81 – 1.85). There were no studies with WHtR.
Conclusions
According to the results, considering cohort studies, WC could be the best risk indicator for prediabetes. There is a high degree of heterogeneity between the studies about the way obesity is measured, including the cut-off points used, so further longitudinal studies are needed to evaluate the association and confirm the results found.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
