预测罹患 2 型糖尿病的风险:越南高棉少数民族的标准化糖尿病风险评分。

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES
Tuyen Thi Hong Nguyen, Lam Phuc Duong
{"title":"预测罹患 2 型糖尿病的风险:越南高棉少数民族的标准化糖尿病风险评分。","authors":"Tuyen Thi Hong Nguyen, Lam Phuc Duong","doi":"10.7416/ai.2024.2652","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Predicting the risk of progression to type 2 diabetes, as well as identifying the factors that increase this risk, helps the population adjust the modifiable risk factors, improve quality of life, and reduce the disease burden.</p><p><strong>Subjects and methods: </strong>A cross-sectional study was conducted on 918 ethnic Khmer minority people aged 40 and above in Vietnam who had never been diagnosed with type 2 diabetes.</p><p><strong>Objective: </strong>To predict the 10-year risk of type 2 diabetes, the Finnish Diabetes Risk Scoring Scale, adjusted for the Asian population with modification of the waist circumpherence and Body Mass Index Cut-Offs, was used.</p><p><strong>Results: </strong>The 10-year predicted risk of progression to type 2 diabetes in ethnic Khmer people aged 40 years and older in southern Vietnam, using the Asian-modified Finnish Diabetes Risk Scoring Scale, resulted 10.54% in the total population study, females have a higher risk at 12.62% compared to 8.01% of males. Among the items that make up the Finnish Diabetes Risk Scoring Scale, age, waist circumference, BMI, family history of diabetes, history of high blood glucose, and use of blood pressure medication were the most accurate predictors, with the area under the Receiver operating characteristic (ROC) curve at 0.83, 0.81, 0.77, 0.75, 0.74 and 0.73 respectively. The optimal cut-off score to identify progression to tipe 2 diabetes was 13.5 points (Se = 1.00, Sp = 1.00, p < 0.001). The multivariable logistic regression model shows that factors associated with high risk of type 2 diabetes progression in 10 years are age, gender, occupation, economic status, education level and regular alcohol consumption (p < 0.05). The study results provide a basis for proposing potential solutions to reduce modifiable risk factors for type 2 diabetes in the population. These include providing culturally appropriate health education and changing behavior to address alcohol consumption.</p><p><strong>Discussion and conclusions: </strong>The use of the Asian-modified Finnish Diabetes Risk Scoring Scale to predict the risk of progression to type 2 diabetes and as a screening tool for undiagnosed type 2 diabetes is appropriate for the Vietnamese Khmer population.</p>","PeriodicalId":7999,"journal":{"name":"Annali di igiene : medicina preventiva e di comunita","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the risk of type 2 diabetes: Standardized diabetes risk score among the Khmer ethnic minority in Vietnam.\",\"authors\":\"Tuyen Thi Hong Nguyen, Lam Phuc Duong\",\"doi\":\"10.7416/ai.2024.2652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Predicting the risk of progression to type 2 diabetes, as well as identifying the factors that increase this risk, helps the population adjust the modifiable risk factors, improve quality of life, and reduce the disease burden.</p><p><strong>Subjects and methods: </strong>A cross-sectional study was conducted on 918 ethnic Khmer minority people aged 40 and above in Vietnam who had never been diagnosed with type 2 diabetes.</p><p><strong>Objective: </strong>To predict the 10-year risk of type 2 diabetes, the Finnish Diabetes Risk Scoring Scale, adjusted for the Asian population with modification of the waist circumpherence and Body Mass Index Cut-Offs, was used.</p><p><strong>Results: </strong>The 10-year predicted risk of progression to type 2 diabetes in ethnic Khmer people aged 40 years and older in southern Vietnam, using the Asian-modified Finnish Diabetes Risk Scoring Scale, resulted 10.54% in the total population study, females have a higher risk at 12.62% compared to 8.01% of males. Among the items that make up the Finnish Diabetes Risk Scoring Scale, age, waist circumference, BMI, family history of diabetes, history of high blood glucose, and use of blood pressure medication were the most accurate predictors, with the area under the Receiver operating characteristic (ROC) curve at 0.83, 0.81, 0.77, 0.75, 0.74 and 0.73 respectively. The optimal cut-off score to identify progression to tipe 2 diabetes was 13.5 points (Se = 1.00, Sp = 1.00, p < 0.001). The multivariable logistic regression model shows that factors associated with high risk of type 2 diabetes progression in 10 years are age, gender, occupation, economic status, education level and regular alcohol consumption (p < 0.05). The study results provide a basis for proposing potential solutions to reduce modifiable risk factors for type 2 diabetes in the population. These include providing culturally appropriate health education and changing behavior to address alcohol consumption.</p><p><strong>Discussion and conclusions: </strong>The use of the Asian-modified Finnish Diabetes Risk Scoring Scale to predict the risk of progression to type 2 diabetes and as a screening tool for undiagnosed type 2 diabetes is appropriate for the Vietnamese Khmer population.</p>\",\"PeriodicalId\":7999,\"journal\":{\"name\":\"Annali di igiene : medicina preventiva e di comunita\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annali di igiene : medicina preventiva e di comunita\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7416/ai.2024.2652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annali di igiene : medicina preventiva e di comunita","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7416/ai.2024.2652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

背景:预测发展为2型糖尿病的风险,并确定增加这种风险的因素,有助于人们调整可改变的风险因素,提高生活质量,减轻疾病负担:对越南 918 名 40 岁及以上从未确诊为 2 型糖尿病的高棉少数民族进行了横断面研究:为了预测 2 型糖尿病的 10 年风险,采用了芬兰糖尿病风险评分表,并根据亚洲人群的情况对腰围和体重指数临界值进行了调整:结果:使用经亚洲人调整的芬兰糖尿病风险评分量表,越南南部 40 岁及以上高棉族人群 10 年内罹患 2 型糖尿病的预测风险为总人口的 10.54%,女性的风险较高,为 12.62%,而男性为 8.01%。在芬兰糖尿病风险评分量表的各项指标中,年龄、腰围、体重指数、糖尿病家族史、高血糖史和使用降压药是最准确的预测指标,其接收者工作特征曲线(ROC)下的面积分别为 0.83、0.81、0.77、0.75、0.74 和 0.73。识别进展为 2 型糖尿病的最佳临界值为 13.5 分(Se = 1.00,Sp = 1.00,p < 0.001)。多变量逻辑回归模型显示,与 10 年内 2 型糖尿病进展高风险相关的因素有年龄、性别、职业、经济状况、教育水平和经常饮酒(P < 0.05)。研究结果为提出潜在的解决方案以减少人群中可改变的 2 型糖尿病风险因素提供了依据。这些方案包括提供与文化相适应的健康教育和改变饮酒行为:讨论和结论:在越南高棉人口中,使用亚洲改良版芬兰糖尿病风险评分量表来预测发展为2型糖尿病的风险,并将其作为筛查未确诊2型糖尿病的工具是合适的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting the risk of type 2 diabetes: Standardized diabetes risk score among the Khmer ethnic minority in Vietnam.

Background: Predicting the risk of progression to type 2 diabetes, as well as identifying the factors that increase this risk, helps the population adjust the modifiable risk factors, improve quality of life, and reduce the disease burden.

Subjects and methods: A cross-sectional study was conducted on 918 ethnic Khmer minority people aged 40 and above in Vietnam who had never been diagnosed with type 2 diabetes.

Objective: To predict the 10-year risk of type 2 diabetes, the Finnish Diabetes Risk Scoring Scale, adjusted for the Asian population with modification of the waist circumpherence and Body Mass Index Cut-Offs, was used.

Results: The 10-year predicted risk of progression to type 2 diabetes in ethnic Khmer people aged 40 years and older in southern Vietnam, using the Asian-modified Finnish Diabetes Risk Scoring Scale, resulted 10.54% in the total population study, females have a higher risk at 12.62% compared to 8.01% of males. Among the items that make up the Finnish Diabetes Risk Scoring Scale, age, waist circumference, BMI, family history of diabetes, history of high blood glucose, and use of blood pressure medication were the most accurate predictors, with the area under the Receiver operating characteristic (ROC) curve at 0.83, 0.81, 0.77, 0.75, 0.74 and 0.73 respectively. The optimal cut-off score to identify progression to tipe 2 diabetes was 13.5 points (Se = 1.00, Sp = 1.00, p < 0.001). The multivariable logistic regression model shows that factors associated with high risk of type 2 diabetes progression in 10 years are age, gender, occupation, economic status, education level and regular alcohol consumption (p < 0.05). The study results provide a basis for proposing potential solutions to reduce modifiable risk factors for type 2 diabetes in the population. These include providing culturally appropriate health education and changing behavior to address alcohol consumption.

Discussion and conclusions: The use of the Asian-modified Finnish Diabetes Risk Scoring Scale to predict the risk of progression to type 2 diabetes and as a screening tool for undiagnosed type 2 diabetes is appropriate for the Vietnamese Khmer population.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Annali di igiene : medicina preventiva e di comunita
Annali di igiene : medicina preventiva e di comunita HEALTH CARE SCIENCES & SERVICES-
CiteScore
3.40
自引率
0.00%
发文量
69
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信