{"title":"肥胖或非肥胖育龄年轻女性的心脏代谢指数、脂质累积乘积、内脏脂肪指数和腰围与大腿比例对早期诊断糖尿病的效果","authors":"","doi":"10.1016/j.cegh.2024.101783","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><p>To explore the effectiveness of the cardiometabolic index (CMI), lipid accumulation product (LAP), and waist-to-thigh ratio (WTR) in identifying insulin resistance (IR) in females who are clinically not having diabetes mellitus (DM).</p></div><div><h3>Methods</h3><p>This cross-sectional study was conducted in Sri Lanka between 2020 and 2023. A total of 282 female participants aged 18 to 35 were recruited. Their anthropometric measurements, fasting blood sugar (FBS) levels, IR by HOMA-IR, lipid profile, and blood pressure were assessed. All females with FBS levels >100 mg/dl were excluded from the study.</p></div><div><h3>Results</h3><p>The study participants were divided into two groups, normal-weight controls (N = 142, BMI:18.0–22.9 kg/m<sup>2</sup>) and overweight/obese cases (N = 140, BMI:23.0–24.9 kg/m<sup>2</sup>, Obesity: >25 kg/m<sup>2</sup>), based on their BMI values. The mean values of CMI, LAP, and WTR in cases were 3.56 ± 0.63, 49.97 ± 17.75, and 1.88 ± 0.17, respectively. Significant associations were identified between all adiposity indexes, IR and lipid profile parameters (p < 0.05). In this female cohort, despite being clinically non DM, the prevalence of IR was significantly higher (52.83 %). ROC analysis results showed greater sensitivities for detecting IR with higher AUC as follows: CMI = 0.854(0.811–0.899), LAP = 0.869(0.829–0.910), and WTR = 0.828(0.779–0.877). The normal-weight controls were assessed to check the prevalence of metabolically-obese normal-weights (MONW,65.5 %) and metabolically-healthy normal-weights (MHNW,35.5 %) among the population, given the higher prevalence of IR. The detection accuracy of MONW females in the ROC assay was; CMI > LAP > WTR > VAI.</p></div><div><h3>Conclusions</h3><p>CMI had the highest accuracy for detecting IR, with the accuracy of all four indexes ranked as follows: CMI > LAP > WTR > VAI.</p></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221339842400280X/pdfft?md5=59869fae5da6f40257792c0585e5e1c2&pid=1-s2.0-S221339842400280X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Effectiveness of cardiometabolic index, lipid accumulation product, visceral adiposity index and waist-to-thigh ratio for the early diagnosis of diabetes in young females at childbearing age who were obese or non-obese\",\"authors\":\"\",\"doi\":\"10.1016/j.cegh.2024.101783\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><p>To explore the effectiveness of the cardiometabolic index (CMI), lipid accumulation product (LAP), and waist-to-thigh ratio (WTR) in identifying insulin resistance (IR) in females who are clinically not having diabetes mellitus (DM).</p></div><div><h3>Methods</h3><p>This cross-sectional study was conducted in Sri Lanka between 2020 and 2023. A total of 282 female participants aged 18 to 35 were recruited. Their anthropometric measurements, fasting blood sugar (FBS) levels, IR by HOMA-IR, lipid profile, and blood pressure were assessed. All females with FBS levels >100 mg/dl were excluded from the study.</p></div><div><h3>Results</h3><p>The study participants were divided into two groups, normal-weight controls (N = 142, BMI:18.0–22.9 kg/m<sup>2</sup>) and overweight/obese cases (N = 140, BMI:23.0–24.9 kg/m<sup>2</sup>, Obesity: >25 kg/m<sup>2</sup>), based on their BMI values. The mean values of CMI, LAP, and WTR in cases were 3.56 ± 0.63, 49.97 ± 17.75, and 1.88 ± 0.17, respectively. Significant associations were identified between all adiposity indexes, IR and lipid profile parameters (p < 0.05). In this female cohort, despite being clinically non DM, the prevalence of IR was significantly higher (52.83 %). ROC analysis results showed greater sensitivities for detecting IR with higher AUC as follows: CMI = 0.854(0.811–0.899), LAP = 0.869(0.829–0.910), and WTR = 0.828(0.779–0.877). The normal-weight controls were assessed to check the prevalence of metabolically-obese normal-weights (MONW,65.5 %) and metabolically-healthy normal-weights (MHNW,35.5 %) among the population, given the higher prevalence of IR. The detection accuracy of MONW females in the ROC assay was; CMI > LAP > WTR > VAI.</p></div><div><h3>Conclusions</h3><p>CMI had the highest accuracy for detecting IR, with the accuracy of all four indexes ranked as follows: CMI > LAP > WTR > VAI.</p></div>\",\"PeriodicalId\":46404,\"journal\":{\"name\":\"Clinical Epidemiology and Global Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S221339842400280X/pdfft?md5=59869fae5da6f40257792c0585e5e1c2&pid=1-s2.0-S221339842400280X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Epidemiology and Global Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221339842400280X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epidemiology and Global Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221339842400280X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Effectiveness of cardiometabolic index, lipid accumulation product, visceral adiposity index and waist-to-thigh ratio for the early diagnosis of diabetes in young females at childbearing age who were obese or non-obese
Aim
To explore the effectiveness of the cardiometabolic index (CMI), lipid accumulation product (LAP), and waist-to-thigh ratio (WTR) in identifying insulin resistance (IR) in females who are clinically not having diabetes mellitus (DM).
Methods
This cross-sectional study was conducted in Sri Lanka between 2020 and 2023. A total of 282 female participants aged 18 to 35 were recruited. Their anthropometric measurements, fasting blood sugar (FBS) levels, IR by HOMA-IR, lipid profile, and blood pressure were assessed. All females with FBS levels >100 mg/dl were excluded from the study.
Results
The study participants were divided into two groups, normal-weight controls (N = 142, BMI:18.0–22.9 kg/m2) and overweight/obese cases (N = 140, BMI:23.0–24.9 kg/m2, Obesity: >25 kg/m2), based on their BMI values. The mean values of CMI, LAP, and WTR in cases were 3.56 ± 0.63, 49.97 ± 17.75, and 1.88 ± 0.17, respectively. Significant associations were identified between all adiposity indexes, IR and lipid profile parameters (p < 0.05). In this female cohort, despite being clinically non DM, the prevalence of IR was significantly higher (52.83 %). ROC analysis results showed greater sensitivities for detecting IR with higher AUC as follows: CMI = 0.854(0.811–0.899), LAP = 0.869(0.829–0.910), and WTR = 0.828(0.779–0.877). The normal-weight controls were assessed to check the prevalence of metabolically-obese normal-weights (MONW,65.5 %) and metabolically-healthy normal-weights (MHNW,35.5 %) among the population, given the higher prevalence of IR. The detection accuracy of MONW females in the ROC assay was; CMI > LAP > WTR > VAI.
Conclusions
CMI had the highest accuracy for detecting IR, with the accuracy of all four indexes ranked as follows: CMI > LAP > WTR > VAI.
期刊介绍：
Clinical Epidemiology and Global Health (CEGH) is a multidisciplinary journal and it is published four times (March, June, September, December) a year. The mandate of CEGH is to promote articles on clinical epidemiology with focus on developing countries in the context of global health. We also accept articles from other countries. It publishes original research work across all disciplines of medicine and allied sciences, related to clinical epidemiology and global health. The journal publishes Original articles, Review articles, Evidence Summaries, Letters to the Editor. All articles published in CEGH are peer-reviewed and published online for immediate access and citation.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
