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Journal articles on the topic 'BMI and IR'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Gannon, Jessica M., Marcos Sanchez, Katherine Lines, et al. "Predicting Conversion to Insulin Sensitivity With Metformin." Journal of Clinical Psychopharmacology 44, no. 2 (2024): 157–60. http://dx.doi.org/10.1097/jcp.0000000000001818.

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Abstract Background Insulin resistance (IR) changes the trajectory of responsive bipolar disorder to a treatment-resistant course. A clinical trial conducted by our group demonstrated that IR reversal by metformin improved clinical and functional outcomes in treatment-resistant bipolar depression (TRBD). To aid clinicians identify which metformin-treated TRBD patients might reverse IR, and given strong external evidence for their association with IR, we developed a predictive tool using body mass index (BMI) and homeostatic model assessment–insulin resistance (HOMA-IR). Methods The predictive

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Tian, Mei, Xiaoyan Ma, Jianxi Liu, Lingling Tong, and Wenqing Ding. "RELATIONSHIP BETWEEN NEW SURROGATE MARKS OF INSULIN RESISTANCEAND AND BONE MINERAL CONTENT IN CHINESE ADOLESCENTS." Journal of Hypertension 42, Suppl 1 (2024): e100. http://dx.doi.org/10.1097/01.hjh.0001020288.06957.73.

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Objective: To analyze the relationship between the new simplified insulin resistance index and bone mineral content (BMC) in adolescents and its evaluation effect on low bone mass, so as to provide scientific basis for early identification and prevention of skeletal-related diseases in adolescents. Design and method: A total of 1594 adolescents aged 12-18 years in Yinchuan were selected by stratified cluster sampling. Binary Logistic regression was used to analyze the relationship between insulin resistance index and low bone mass, and receiver operating characteristic (ROC) curve was construc

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Callahan, Makenzie, Samantha Martin, Jessica Bahorski, Gregory Pavela, W. Timothy Garvey, and Paula C. Chandler-Laney. "Insulin Resistance Moderates the Association Between BMI and Metabolic Syndrome Severity in Women 4–10 Years After Pregnancy, Independent of Gestational Diabetes Status." Journal of the Endocrine Society 5, Supplement_1 (2021): A17—A18. http://dx.doi.org/10.1210/jendso/bvab048.032.

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Abstract Objective: Obesity and gestational diabetes mellitus (GDM) increase the risk for metabolic syndrome (MetS). Insulin resistance (IR) is associated with obesity, contributes to risk for GDM, and persists after pregnancy even when glucose tolerance returns. Further, IR may enhance the risk of MetS associated with obesity and GDM. The purpose of this study was to test the hypothesis that IR moderates the relationship between BMI and MetS severity 4–10 years after pregnancy, independent of prior GDM, such that the positive association between BMI and MetS severity is stronger among women w

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Mueller, Noel T., Mark A. Pereira, Adriana Buitrago-Lopez, et al. "Adiposity indices in the prediction of insulin resistance in prepubertal Colombian children." Public Health Nutrition 16, no. 2 (2012): 248–55. http://dx.doi.org/10.1017/s136898001200393x.

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AbstractObjectiveTo compare BMI with abdominal skinfold thickness (ASF), waist circumference and waist-to-height ratio in the prediction of insulin resistance (IR) in prepubertal Colombian children.DesignWe calculated age- and sex-specific Z-scores for BMI, ASF, waist circumference, waist-to-height ratio and three other skinfold-thickness sites. Logistic regression with stepwise selection (P = 0·80 for entry and P = 0·05 for retention) was performed to identify predictors of IR and extreme IR, which were determined by age- and sex-specific Z-scores to identify the ≥ 90th and ≥ 95th percentile

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Azócar-Gallardo, Jairo, Alex Ojeda-Aravena, Eduardo Báez-San Martín, et al. "Influence of Body Composition on Cardiorespiratory Fitness and Metabolic Markers in Physically Inactive Individuals with Insulin Resistance: An Observational Study." Applied Sciences 13, no. 4 (2023): 2238. http://dx.doi.org/10.3390/app13042238.

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The aim of this study was to determine body composition influence on cardiorespiratory fitness and metabolic markers in physically inactive individuals with insulin resistance (IR). Nineteen overweight and obese (body mass index [BMI] 25.0–29.9 kg·m−2; ≥ 30.0 kg·m−2, respectively) patients diagnosed with IR (5 men and 14 women; age: 32.74 ± 10.07 years; BMI: 32.5 ± 4.60 kg·m−2). The body composition included BMI, fat mass, and fat-free mass. Cardiorespiratory fitness was measured by maximal oxygen uptake (VO2max). Metabolic markers included maximal fat oxidation, fasting glucose, and insulin.

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Martinez, Keilah E., Larry A. Tucker, Bruce W. Bailey, and James D. LeCheminant. "Expanded Normal Weight Obesity and Insulin Resistance in US Adults of the National Health and Nutrition Examination Survey." Journal of Diabetes Research 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/9502643.

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This study aims to expand the evaluation of normal weight obesity (NWO) and its association with insulin resistance using an NHANES (1999–2006) sample of US adults. A cross-sectional study including 5983 men and women (50.8%) was conducted. Body fat percentage (BF%) was assessed using dual-energy X-ray absorptiometry. Expanded normal weight obesity (eNWO) categories, pairings of BMI and body fat percentage classifications, were created using standard cut-points for BMI and sex-specific median for BF%. Homeostatic model assessment-insulin resistance (HOMA-IR) levels were used to index insulin r

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Zhao, Laiping, and Lichun Huang. "Predictive Value of Homeostasis Model Assessment of Insulin Resistance, Visceral Fat Index, and Prepregnancy Body Mass Index in Gestational Metabolic Syndrome." Evidence-Based Complementary and Alternative Medicine 2021 (September 24, 2021): 1–7. http://dx.doi.org/10.1155/2021/6709725.

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Objective. To explore the diagnostic value of homeostasis model assessment of insulin resistance (HOMA-IR), visceral fat index (VAI), and prepregnancy body mass index (BMI) in gestational metabolic syndrome (GMS). Methods. From December 2019 to March 2021,122 GMS high-risk pregnant women who received routine antenatal clinic visits and planned to give birth in our hospital were selected as the research objects. Pregnant women were divided into the GMS group (n = 79) and the control group (n = 43) according to GMS diagnostic criteria during the gestation period of 32–36 weeks. The general infor

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Chang-Rueda, Consuelo, Ana Cañas-Urbina, Karina Trujillo-Murillo, et al. "Correlation of HOMA-IR with BMI-for-age percentile in children and adolescents from the Soconusco region of Chiapas, Mexico." Revista de la Facultad de Medicina 67, no. 4 (2019): 447–50. http://dx.doi.org/10.15446/revfacmed.v67n4.67159.

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Introduction: Insulin resistance (IR) is a major risk factor for developing diabetes mellitus type 2 and cardiovascular diseases. In pediatrics, morbidity and mortality associated with these diseases highlights the diagnostic importance of IR for primary care.Objective: To determine Homeostatic Model Assessment Insulin Resistance (HOMA-IR) values and their correlation with BMI-for-age percentile in children and adolescents of the Soconusco region of Chiapas, Mexico.Materials and methods: Cross-sectional study. Overweight and obesity prevalence was determined based on the Body Mass Index (BMI)

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Akwo, Elvis, Aseel Alsouqi, Edward Siew, Alp Ikilzer, and Adriana Hung. "3574 Effect modification between kidney function and adiposity in the association with central and peripheral insulin sensitivity among Nondiabetic patients with moderate Chronic Kidney Disease and Healthy Controls." Journal of Clinical and Translational Science 3, s1 (2019): 38–39. http://dx.doi.org/10.1017/cts.2019.94.

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OBJECTIVES/SPECIFIC AIMS: The main aim of this study was to investigate the interaction between glomerular filtration rate (GFR) and body mass index (as well as serum leptin) as determinants of peripheral and central insulin sensitivity (IS). METHODS/STUDY POPULATION: This was a cross-sectional investigation of 140 nondiabetic participants – 56 with CKD (GFR = 15-59 ml/min/1.73m2) and 94 with normal GFR (≥ 60 ml/min/1.73m2) – recruited as part of the relationship of insulin sensitivity in kidney disease and vascular health (RISKD) study. Peripheral (skeletal muscle) and central (hepatic) IS we

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Luo, Ping, Yaoquan Cao, Pengzhou Li, et al. "TyG Index Performs Better Than HOMA-IR in Chinese Type 2 Diabetes Mellitus with a BMI < 35 kg/m2: A Hyperglycemic Clamp Validated Study." Medicina 58, no. 7 (2022): 876. http://dx.doi.org/10.3390/medicina58070876.

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Background and objectives: Chinese type 2 diabetes mellitus (T2DM) patients are characterized by a low body mass index (BMI), and significant insulin resistance (IR). The triglyceride glucose (TyG) index has not been studied as a means of assessing IR in Chinese T2DM patients with a BMI < 35 kg/m2. Materials and Methods: An open-label cross-sectional study recruited 102 Chinese T2DM patients with a BMI < 35 kg/m2. The hyper-insulinemic euglycemic clamp, homeostatic model assessment of IR (HOMA-IR), and TyG index were used to determine the level of IR. Based on Pearson’s correlations, glu

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Yang, Yumei, Baomin Wang, Haoyue Yuan, and Xiaomu Li. "Triglycerides to High-Density Lipoprotein Cholesterol Ratio Is the Best Surrogate Marker for Insulin Resistance in Nonobese Middle-Aged and Elderly Population: A Cross-Sectional Study." International Journal of Endocrinology 2021 (April 30, 2021): 1–8. http://dx.doi.org/10.1155/2021/6676569.

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Objective. Insulin resistance (IR) is closely associated with metabolic profiles, including obesity and dyslipidemia. The aim of the present study was to examine how lipid profiles were associated with IR in nonobese middle-aged and elderly Chinese population. Methods. This cross-sectional study included 1608 subjects. IR was defined by homeostasis model assessment of insulin resistance (HOMA-IR) of at least 2.5. Results. In nonobese subjects (body mass index (BMI) < 25 kg/m2, n = 996), triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio (odds ratio (OR) = 1.43, 95% conf

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Mota-Sanhuaa, Vanessa, José Alberto Rojas Jiménez, Diana Martínez Castañeda, et al. "Prediabetic patients evaluated with Quantose™ IR and their relationship with anthropometric measurements through bioelectrical impedance analysis." Proceedings of Scientific Research Universidad Anáhuac. Multidisciplinary Journal of Healthcare 2, no. 3 (2022): 5–10. http://dx.doi.org/10.36105/psrua.2022v2n3.01.

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Introduction: New metabolomic biomarkers as Quantose™ IR and anthropometric measurements using bioelectrical impedance analysis (BIA) provide relevant information on patients with insulin resistance and prediabetes. QuantoseTM IR is a novel metabolomic test to assess insulin resistance for screening and monitoring. Establishing a correlation between these variables is useful in clinical practice and, to our knowledge, there are no published studies that explore the relationship between Quantose™ IR and anthropometric measurements using BIA in patients with prediabetes. Objective: To evaluate t

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Scott, Elizabeth M., Joanne S. Carpenter, Frank Iorfino, et al. "What is the prevalence, and what are the clinical correlates, of insulin resistance in young people presenting for mental health care? A cross-sectional study." BMJ Open 9, no. 5 (2019): e025674. http://dx.doi.org/10.1136/bmjopen-2018-025674.

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ObjectivesTo report the distribution and predictors of insulin resistance (IR) in young people presenting to primary care-based mental health services.DesignCross-sectional.SettingHeadspace-linked clinics operated by the Brain and Mind Centre of the University of Sydney.Participants768 young people (66% female, mean age 19.7±3.5, range 12–30 years).Main outcome measuresIR was estimated using the updated homeostatic model assessment (HOMA2-IR). Height and weight were collected from direct measurement or self-report for body mass index (BMI).ResultsFor BMI, 20.6% of the cohort were overweight an

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Gawade, Gayatri Chandrashekhar, Geeta Shripad Wadadekar, and Meghana Khandu Padwal. "Correlation between TyG (Fasting Triglyceride-glucose) Index, TyG BMI Index & Liver Transaminases in Women with Polycystic Ovary Disease Syndrome." International Journal of Research and Review 8, no. 5 (2021): 193–201. http://dx.doi.org/10.52403/ijrr.20210527.

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Background: Polycystic Ovary Disease Syndrome (PCOS) and NAFLD are interlinked with the common culprit i.e. Insulin resistance (IR). The triglyceride and glucose index (TyG) has been recommended as a reliable and simple surrogate index for IR. So we evaluated TyG index, TyG–BMI index as a marker of IR and its correlation with liver transaminases (ALT, AST) to detect NAFLD in women with PCOS. Aim and Objectives: Correlation of TyG index and TyG-BMI index and liver transaminases (ALT, AST) in study groups. Materials and methods: A prospective study was done on 25 participants (14 controls and 11

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Boccardi, Virginia, Francesca Mancinetti, Marta Baroni, et al. "Metabolic Score for Insulin Resistance (METS-IR) and Circulating Cytokines in Older Persons: The Role of Gender and Body Mass Index." Nutrients 14, no. 15 (2022): 3228. http://dx.doi.org/10.3390/nu14153228.

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Background: Inflammation, along with aging processes, contributes to the development of insulin resistance (IR), but the roles of different inflammatory and other cytokines in this process remain unclear. Thus, we aimed to analyze the association between several plasma cytokines with IR as evaluated by the metabolic score for insulin resistance, METS-IR. Methods: We measured the plasma concentrations of thirty cytokines from a cohort of older persons and analyzed their role as independent factors for IR. We used regression analyses adjusted for known IR-associated factors (including age, gende

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Lee, Kayoung. "Food Security Moderates the Relationships of Muscle Mass with Metabolic Syndrome and Insulin Resistance." Journal of Bone Metabolism 29, no. 1 (2022): 23–33. http://dx.doi.org/10.11005/jbm.2022.29.1.23.

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Background: This study aimed to determine whether food security moderates the relationship of skeletal muscle mass with metabolic syndrome (MetS) and insulin resistance (IR).Methods: This study analyzed the data of 10,680 adults using the Korea National Health and Nutrition Examination Survey from 2008 to 2011. The food security reported by households, appendicular skeletal muscle mass (ASM) divided by body mass index (BMI) (ASM/BMI), weight (ASM/weight), or height squared (ASM/height2) as muscle mass indicators, MetS (defined as presence of at least 3 components of MetS), and IR (defined as s

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Elbarky, Amany, Manal Mahmoud, Yousef F. Yousef, and Doaa S. E. Elsawy. "Hidden indicators of insulin resistance in childhood obesity." Alexandria Journal of Pediatrics 38, no. 1 (2025): 96–103. https://doi.org/10.4103/ajop.ajop_8_25.

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Background Insulin resistance (IR) is a significant health concern that is associated with childhood obesity. Traditional indicators like BMI may not accurately reflect body composition, necessitating alternative measures like fat mass index (FMI), fat mass percentage (FM %), and visceral adiposity index (VAI). Objective To determine whether anthropometric or adiposity-related measures best predict IR in obese children who tested positive using the homeostatic model assessment for insulin resistance. Patients and methods A cross-sectional study was conducted involving 100 children (50 obese ch

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Livadas, Sarantis, Anastasios Kollias, Dimitrios Panidis, and Evanthia Diamanti-Kandarakis. "Diverse impacts of aging on insulin resistance in lean and obese women with polycystic ovary syndrome: evidence from 1345 women with the syndrome." European Journal of Endocrinology 171, no. 3 (2014): 301–9. http://dx.doi.org/10.1530/eje-13-1007.

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BackgroundPolycystic ovary syndrome (PCOS) represents a moving spectrum of hormonal to metabolic abnormalities, as women with the syndrome are aging. Hormonal abnormalities, anovulation, and hyperandrogenic signs were predominant during the early years of PCOS and fade away with the years. Metabolic abnormalities and insulin resistance (IR) remain throughout the PCOS life cycle; however, it is unclear as to how they change, as women with the syndrome are aging.ObjectiveTo evaluate the changes in IR and its associations with clinical, biochemical, hormonal, and ultrasound findings in a large co

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Ba, Hong-Jun, Ling-Ling Xu, You-Zhen Qin, and Hong-Shan Chen. "Serum Chemerin Levels Correlate With Determinants of Metabolic Syndrome in Obese Children and Adolescents." Clinical Medicine Insights: Pediatrics 13 (January 2019): 117955651985378. http://dx.doi.org/10.1177/1179556519853780.

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Objectives: This study aimed to investigate serum chemerin concentrations in obese children and adolescents and to investigate the associations of chemerin with body mass index (BMI), lipid levels, and insulin sensitivity. Methods: Forty-eight obese and 40 nonobese Chinese children and adolescents were included in the study. BMI and levels of chemerin, lipids, glucose, and insulin were measured following an overnight fast. The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) and BMI standard deviation score (BMI-SDS) were determined for all participants. Results: Serum chemerin lev

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Gadd, Gustaf, Daniel Åberg, Alexander Wall, et al. "A Nonlinear Relation between Body Mass Index and Long-Term Poststroke Functional Outcome—The Importance of Insulin Resistance, Inflammation, and Insulin-like Growth Factor-Binding Protein-1." International Journal of Molecular Sciences 25, no. 9 (2024): 4931. http://dx.doi.org/10.3390/ijms25094931.

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Both high serum insulin-like growth factor-binding protein-1 (s-IGFBP-1) and insulin resistance (IR) are associated with poor functional outcome poststroke, whereas overweight body mass index (BMI; 25–30) is related to fewer deaths and favorable functional outcome in a phenomenon labeled “the obesity paradox”. Furthermore, IGFBP-1 is inversely related to BMI, in contrast to the linear relation between IR and BMI. Here, we investigated s-IGFBP-1 and IR concerning BMI and 7-year poststroke functional outcome. We included 451 stroke patients from the Sahlgrenska Study on Ischemic Stroke (SAHLSIS)

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Tan, Susanne, Susanne Hahn, Sven Benson, et al. "Metformin improves polycystic ovary syndrome symptoms irrespective of pre-treatment insulin resistance." European Journal of Endocrinology 157, no. 5 (2007): 669–76. http://dx.doi.org/10.1530/eje-07-0294.

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AbstractObjectiveInsulin resistance (IR) and obesity are common features of the polycystic ovary syndrome (PCOS). Insulin-sensitizing agents have been shown to improve both reproductive and metabolic aspects of PCOS, but it remains unclear whether it is also beneficial in lean patients without pre-treatment IR. The aim of this study was to determine the influence of metformin on the clinical and biochemical parameters of PCOS irrespective of the presence of basal obesity and IR.DesignThe effect of 6 months of metformin treatment was prospectively assessed in 188 PCOS patients, divided into thr

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Newbern, Dorothee, Pinar Gumus Balikcioglu, Metin Balikcioglu, et al. "Sex Differences in Biomarkers Associated With Insulin Resistance in Obese Adolescents: Metabolomic Profiling and Principal Components Analysis." Journal of Clinical Endocrinology & Metabolism 99, no. 12 (2014): 4730–39. http://dx.doi.org/10.1210/jc.2014-2080.

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Objective Obesity and insulin resistance (IR) predispose to type 2 diabetes mellitus. Yet only half of obese adolescents have IR and far fewer progress to type 2 diabetes mellitus. We hypothesized that amino acid and fatty acid metabolites may serve as biomarkers or determinants of IR in obese teens. Research Design and Methods Fasting blood samples were analyzed by tandem mass spectrometry in 82 obese adolescents. A principal components analysis and multiple linear regression models were used to correlate metabolic components with surrogate measures of IR: homeostasis model assessment index o

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Wang, Haiyan, Haozhe Cao, Jing Cao, and Li Zhang. "The Visceral Adiposity Index (VAI) and Lipid Accumulation Product (LAP) Are Predictors of Insulin Resistance and Hyperandrogenaemia in Obesity/Overweight Women with Polycystic Ovary Syndrome." BioMed Research International 2023 (February 13, 2023): 1–9. http://dx.doi.org/10.1155/2023/1508675.

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Objective. Hyperandrogenaemia and insulin resistance (IR) are the main characteristics of polycystic ovary syndrome (PCOS). Here, we study to find appropriate markers predicting IR and hyperandrogenaemia of women with PCOS in northwest China. Methods. According to body mass index (BMI), 953 patients with PCOS were divided into two groups. All the patients underwent physical examination and ultrasonography and collected elbow vein blood. Their BMI, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), LAP, VAI, homeostasis model assessment index of insulin resistance (HOMA-IR), and free andro

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Kanat, Burak, Kenan Topal, Hüseyin Aksoy, Ayşenur Kanat, and Çiğdem Gereklioğlu. "Comparison of Oral Glcose Tolerance Test and HOMA-IR in Screening for Gestational Diabetes Mellitus in Pregnant Women." European Journal of Human Health 1, no. 1 (2024): 22–31. http://dx.doi.org/10.29228/ejhh.73194.

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Comparison of Oral Glcose Tolerance Test and HOMA-IR in Screening for Gestational Diabetes Mellitus in Pregnant Women Aim: The Oral Glucose Tolerance Test (OGTT) is used for the screening of Gestational Diabetes Mellitus (GDM) and is a difficult test for some patients to tolerate. Insulin resistance (IR) can also be checked in pregnant women by using the fasting glucose and fasting insulin values. In this study, we aimed to compare the effectiveness of OGTT and HOMA-IR for GDM screening in pregnant women. Methods: This cross-sectional study was carried out on all pregnant women who underwent G

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Arcari, Andrea J., Analía V. Freire, María E. Escobar, et al. "One-year treatment with gonadotropin-releasing hormone analogues does not affect body mass index, insulin sensitivity or lipid profile in girls with central precocious puberty." Journal of Pediatric Endocrinology and Metabolism 32, no. 2 (2019): 181–86. http://dx.doi.org/10.1515/jpem-2018-0290.

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Abstract Background Puberty is associated with a physiological decline in insulin sensitivity (IS). Overweight (OW) and obesity (OB) are common among girls with central precocious puberty (CPP). CPP is considered a risk factor for metabolic diseases. The aim of this study was to assess surrogate measures of IS, body mass index (BMI) and other metabolic parameters in CPP girls at diagnosis and during treatment with gonadotropin-releasing hormone analogues (GnRHa). Methods We present a prospective longitudinal study of CPP girls. The standard oral glucose tolerance test, homeostatic model assess

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Mohana, Choman Abdullah, Susmita Paul, Md Shahed Morshed, et al. "Relationship of leptin with insulin indices in gestational diabetes mellitus." Journal of Association of Clinical Endocrinologist and Diabetologist of Bangladesh 2, no. 2 (2025): 46–51. https://doi.org/10.3329/jacedb.v2i2.78440.

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Background: Leptin is thought to increase and affect glucose and insulin homeostasis in gestational diabetes mellitus (GDM). Objectives: To see the relationships among leptin, insulin indices (homeostatic model of insulin assessment, HOMA-IR), and obesity among women with GDM. Methods: Women (n=107) with 24-28 weeks gestation were tested by 75 gm oral glucose (OGTT) to divide into GDM [n=45, age: 27.80±3.98 years, mean±SD; BMI: 27.88(24.46, 30.43) kg/m2, median] and normal glucose tolerance [NGT; n=62, age: 26.19±5.30 years, mean±SD; BMI: 25.80(23.65,28.42) kg/m2, median] following WHO-2013 di

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Calcaterra, Valeria, Elvira Verduci, Laura Schneider, et al. "Sex-Specific Differences in the Relationship between Insulin Resistance and Adiposity Indexes in Children and Adolescents with Obesity." Children 8, no. 6 (2021): 449. http://dx.doi.org/10.3390/children8060449.

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New indexes of adiposity have been introduced to evaluate body-fat distribution and cardiometabolic risk. However, data on the correlation between Insulin Resistance (IR) and these new indexes are limited. We therefore evaluated the relationship between IR and adiposity indexes in children and adolescents with obesity, focusing on gender differences. We retrospectively enrolled 586 patients with obesity (10.80 ± 2.63; 306F/279M). As adiposity indexes we considered body mass index (BMI), BMI-z score, WC, waist-to-height ratio (WHtR), a body shape index (ABSI), triponderal mass index (TMI), visc

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Camero, Astrid, José Luis Muriel, Neus Morell, et al. "Risk of insulin resistance applying 3 different scales in 703,472 spanish workers: Associated variables." International Journal of Clinical Trials and Experimental Investigations 3, no. 4 (2024): 125–35. https://doi.org/10.5281/zenodo.14590496.

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<strong>Objective:</strong> Insulin resistance (IR) is a highly prevalent condition that causes significant morbidity and has a multifactorial etiology. The objective of this study is to assess the risk of developing IR by applying three different criteria, and to determine how IR is associated with various sociodemographic variables, tobacco consumption, and obesity using the Body Mass Index (BMI) and the Clínica Universidad de Navarra Body Adiposity Estimator (CUN BAE) criteria. <strong>Materials and methods: </strong>A cross-sectional descriptive study of 703,472 Spanish workers, eva

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Lee, Heng, Rong-Nan Chien, Li-Heng Pao, Chia-Jung Kuo, Po-Han Huang, and Ming-Ling Chang. "Decoupled Glucose and Lipid Metabolic Recovery after Viral Clearance in Direct-Acting Antiviral-Treated HCV Patients: A 3-Year Prospective Cohort Study." Cells 10, no. 11 (2021): 2934. http://dx.doi.org/10.3390/cells10112934.

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Background/Aim: The recovery pattern of hepatitis C virus (HCV)-associated metabolic alteration after sustained virological response (SVR) following direct-acting antivirals (DAAs) remains elusive. Methods: A prospective cohort study of chronic HCV-infected (CHC) patients (n = 415) receiving DAAs (n = 365) was conducted. Metabolic profiles were examined in SVR patients (n = 360) every 3–6 months after therapy and compared with those of sex- and age-matched controls (n = 470). Results: At baseline, of 415, 168 (40.5%) had insulin resistance (IR). The following were associated: levels of high-de

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Satyanarayana Raju P, Pyda Vijaya Radhika, Ch. BS Srinivas, Ritu Vaish, and Usha Rani P. "Assessing the impact of body mass index on insulin resistance and metabolic risk factors in pre-diabetic individuals: A comprehensive cross-sectional study." Asian Journal of Medical Sciences 15, no. 5 (2024): 77–81. http://dx.doi.org/10.3126/ajms.v15i5.62793.

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Background: Insulin resistance plays a crucial role in the onset of type 2 diabetes, with body mass index (BMI) being a significant determinant. Aims and Objectives: This study examines the link between BMI and insulin resistance in pre-diabetic individuals to inform strategies for early diabetes intervention. Materials and Methods: This cross-sectional study involved 100 pre-diabetic participants. Data on demographic characteristics, BMI, insulin resistance (measured by the Homeostatic Model Assessment for Insulin Resistance, HOMA-IR), lipid profiles, and blood pressure (BP) were collected. P

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Calcaterra, Valeria, Daniela Larizza, Annalisa De Silvestri, et al. "Gender-based differences in the clustering of metabolic syndrome factors in children and adolescents." Journal of Pediatric Endocrinology and Metabolism 33, no. 2 (2020): 279–88. http://dx.doi.org/10.1515/jpem-2019-0134.

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AbstractBackgroundWe depicted gender-differences in metabolic syndrome (MS) clustering before and after puberty in pediatrics, in order to develop gender specific preventive strategies for childhood obesity.MethodsWe considered 1079 children and adolescents (529 females and 550 males; mean age 11.5 ± 2.8 year). According to body mass index (BMI) percentiles the subjects were classified as normal weight BMI <75th, overweight BMI 75–95th and with obesity BMI >95th. MS was diagnosed when three of the following criteria for age and sex percentiles were met: BMI >95th, triglycerides (TGs)

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Gordito Soler, María, Pedro Juan Tárraga López, Ángel Arturo López-González, et al. "Is Measuring BMI and Waist Circumference as Good in Assessing Insulin Resistance as Using Bioelectrical Impedance to Measure Total Body Fat and Visceral Fat?" Diabetology 6, no. 4 (2025): 32. https://doi.org/10.3390/diabetology6040032.

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Background: Insulin resistance (IR) is a metabolic disorder linked to type 2 diabetes and cardiovascular diseases. Visceral fat is a better predictor of IR than BMI and waist circumference due to its metabolic and inflammatory impact. Methods such as DEXA and bioimpedance (BIA) estimate body fat, while scales such as METS-IR, SPISE, and TyG assess IR risk. This study analyzes the utility of visceral and body fat measured by BIA compared to other indicators. Methods: A cross-sectional study was conducted on 8590 workers in the Balearic Islands, analyzing anthropometric, clinical, and analytical

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Wiegand, Susanna, Dagmar l'Allemand, Hanna Hübel, et al. "Metformin and placebo therapy both improve weight management and fasting insulin in obese insulin-resistant adolescents: a prospective, placebo-controlled, randomized study." European Journal of Endocrinology 163, no. 4 (2010): 585–92. http://dx.doi.org/10.1530/eje-10-0570.

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ObjectiveTo study whether metformin reduces obesity, homeostasis model assessment for insulin resistance index (HOMA-IR), and the metabolic syndrome (MtS) in obese European adolescents in addition to previous unsuccessful lifestyle intervention.Design and methodsAfter 6 months of multiprofessional lifestyle intervention, 70 out of 86 adolescents without improvement in body mass index (BMI) and HOMA-IR were randomized into either the placebo (n=34) or the metformin group (2×500 mg/day,n=36) in addition to ongoing lifestyle intervention for another 6 months.ResultsAge was 13.8 years, BMI was 33.

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Lentferink, Yvette E., Marieke A. J. Elst, Catherijne A. J. Knibbe, and Marja M. J. van der Vorst. "Predictors of Insulin Resistance in Children versus Adolescents with Obesity." Journal of Obesity 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/3793868.

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Introduction. Obesity is a risk factor to develop metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM). Insulin resistance (IR) plays a major part in both. With increasing incidence of childhood obesity, this retrospective study aimed to identify predictors of IR in children/adolescents with obesity to optimize screening for IR. Method. Patients aged ≥ 2–≤ 18 years with obesity (BMI-SDS > 2.3) were included. IR was defined as HOMA-IR ≥ 3.4, and MetS if ≥3 of the following criteria were present: waist circumference and blood pressure ≥ 95th age percentile, triglycerides ≥ 1.7 mmol/l

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Kurniawan, Liong Boy, Bachtiar Syamsir, Ilham Akbar Rahman, et al. "Anthropometric features in predicting insulin resistance among non-menopausal Indonesian adult females." Romanian Journal of Internal Medicine 58, no. 3 (2020): 168–72. http://dx.doi.org/10.2478/rjim-2020-0015.

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AbstractIntroduction. The prevalence of obesity is increasing worldwide in high, low, and middle-income countries such as Indonesia. Obesity rate is higher in females in Indonesia. Obesity has important contribution in the occurrence of insulin resistance (IR) and type 2 diabetes mellitus. Several anthropometric measurements such as waist circumference (WC), body mass index (BMI), body mass (BM), total body fat percentage (Fat%) and visceral fat (VF) are related to IR. This study aimed to investigate which of those measurements could be used as a better predictor of IR in non-menopausal Indone

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Balcázar-Hernandez, Lourdes, Lourdes Basurto, Leticia Manuel-Apolinar, et al. "Pattern of Adiponectin, Osteocalcin, Irisin, FGF-21, and MCP-1 According to the Body Size Phenotype: Could They Be Markers of Metabolic Health in Mexican-Mestizo Middle-Aged Women?" Metabolites 11, no. 11 (2021): 771. http://dx.doi.org/10.3390/metabo11110771.

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Variations in levels of some adipokines, myokines, osteokines, hepatokines and inflammatory cytokines contribute to abnormal glucose and lipid metabolism. The aim of this study was to determine the pattern of adiponectin, osteocalcin (OCN), irisin, FGF-21, and MCP-1 according to the body size phenotype of middle-aged women, and their associations with BMI, visceral adipose tissue (VAT), and HOMA-IR. A cross-sectional study in 265 women aged from 40 to 65 years was performed. The biochemical characteristics were evaluated in metabolically healthy normal weight, metabolically unhealthy normal we

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Cree-Green, Melanie, Ninghe Cai, Laura Pyle, et al. "Insulin Resistance in Youth Without Diabetes Is Not Related to Muscle Mitochondrial Dysfunction." Journal of Clinical Endocrinology & Metabolism 102, no. 5 (2017): 1652–60. http://dx.doi.org/10.1210/jc.2016-3912.

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Abstract Context: Obesity, insulin resistance (IR), and diabetes are increasing in youth, especially in girls. IR is associated with muscle mitochondrial dysfunction in youth and adults with diabetes. However, it is unknown whether this relationship is present in youth prior to development of diabetes. Objective: Assess IR and mitochondrial function, including sex differences, in nondiabetic youth. Design: Cross-sectional study of youth in the Exploring Perinatal Outcomes among Children, Resistance to InSulin in Type 1 And Type 2 diabetes, and Androgens and Insulin Resistance Study cohorts. Se

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Hu, Huan, Tohru Nakagawa, Toru Honda, Shuichiro Yamamoto та Tetsuya Mizoue. "Should insulin resistance (HOMA-IR), insulin secretion (HOMA-β), and visceral fat area be considered for improving the performance of diabetes risk prediction models". BMJ Open Diabetes Research & Care 12, № 1 (2024): e003680. http://dx.doi.org/10.1136/bmjdrc-2023-003680.

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IntroductionInsulin resistance and defects in pancreatic beta cells are the two major pathophysiologic abnormalities that underlie type 2 diabetes. In addition, visceral fat area (VFA) is reported to be a stronger predictor for diabetes than body mass index (BMI). Here, we tested whether the performance of diabetes prediction models could be improved by adding HOMA-IR and HOMA-β and replacing BMI with VFA.Research design and methodsWe developed five prediction models using data from a cohort study (5578 individuals, of whom 94.7% were male, and 943 had incident diabetes). We conducted a baseli

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Duo, Yanbei, Shuoning Song, Yuemei Zhang, et al. "Predictability of HOMA-IR for Gestational Diabetes Mellitus in Early Pregnancy Based on Different First Trimester BMI Values." Journal of Personalized Medicine 13, no. 1 (2022): 60. http://dx.doi.org/10.3390/jpm13010060.

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Objective: To investigate the ability of homeostasis model assessment of insulin resistance (HOMA-IR) in early pregnancy for predicting gestational diabetes mellitus (GDM) in Chinese women with different first-trimester body mass index (FT-BMI) values. Methods: Baseline characteristics and laboratory tests were collected at the first prenatal visit (6–12 weeks of gestation). GDM was diagnosed by a 75 g oral glucose tolerance test (OGTT) at 24–28 weeks of gestation. Partial correlation analysis and binary logistic regression were applied to identify the association between HOMA-IR and GDM. The

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Grasso, Alessandro, Federica Malfatti, Gabriella Andraghetti, et al. "HOMA, BMI, and Serum Leptin Levels Variations during Antiviral Treatment Suggest Virus-Related Insulin Resistance in Noncirrhotic, Nonobese, and Nondiabetic Chronic Hepatitis C Genotype 1 Patients." Gastroenterology Research and Practice 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/975695.

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Objective. To investigate the relationship between insulin resistance and viral load decay in nondiabetic and noncirrhotic genotype 1 chronic HCV patients during peginterferon and ribavirin treatment and the possible influence of BMI and leptin as metabolic confounders.Methods. 75 consecutive noncirrhotic, nonobese, and nondiabetic patients with genotype 1 chronic hepatitis C treated with peginterferon alpha 2a plus ribavirin were evaluated. HOMA-IR, serum leptin, and BMI were measured in all patients at baseline and at weeks 12 and 48, whereas viral load was measured at the same time points a

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Cherniaieva, Anna. "FEATURES OF INSULIN RESISTANCE ASSESSMENT IN PATIENTS WITH TYPE 2 DIABETES MELLITUS WITH HYPERURICEMIA." Problems of Endocrine Pathology 77, no. 3 (2021): 83–90. http://dx.doi.org/10.21856/j-pep.2021.3.12.

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Topicality. The link between hyperuricemia (HUA) and insulin resistance (IR) has been established in many studies, but the traditional «insulin» indices used to assess the severity of IR, although there are the most informative, sensitive and specific, have not been widely used in clinical practice. The aim of the research is to evaluate the possibility to use calculated «non-insulin» indices in clinical practice to assess IR in patients with type 2 diabetes (T2DM) with HUA. Materials and methods. We examined 395 patients with type 2 diabetes (231 women and 164 men) aged 39 to 81 years, the av

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Cherniaieva, Anna. "FEATURES OF INSULIN RESISTANCE ASSESSMENT IN PATIENTS WITH TYPE 2 DIABETES MELLITUS WITH HYPERURICEMIA." Problems of Endocrine Pathology 77, no. 3 (2021): 83–90. http://dx.doi.org/10.21856/j-pep.2021.3.12.

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Topicality. The link between hyperuricemia (HUA) and insulin resistance (IR) has been established in many studies, but the traditional «insulin» indices used to assess the severity of IR, although there are the most informative, sensitive and specific, have not been widely used in clinical practice. The aim of the research is to evaluate the possibility to use calculated «non-insulin» indices in clinical practice to assess IR in patients with type 2 diabetes (T2DM) with HUA. Materials and methods. We examined 395 patients with type 2 diabetes (231 women and 164 men) aged 39 to 81 years, the av

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Salihefendic, Dzenita. "Eating and Lifestyle Habits in Underweight Patients with Insulin Resistance." Materia Socio Medica 35, no. 1 (2023): 18. http://dx.doi.org/10.5455/msm.2023.35.18-12.

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Background: In recent years, there has been a significant increase in the prevalence of insulin resistance (IR) which has become a global health problem. Obesity is the typical clinical presentation of IR. The connection between underweight and IR is less known. Objective: The study aimed to investigate the characteristics of eating habits in underweight and obese patients with IR. After the obtained results, propose suitable dietary instructions specific to 2 subject groups. The task was to determine the difference in the nutritional status of underweight and obese patients with proven IR. Th

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Frosch, Olivia H., Po Lai Yau, Ricardo S. Osorio, Henry Rusinek, Pippa Storey, and Antonio Convit. "Insulin resistance among obese middle-aged is associated with decreased cerebrovascular reactivity." Neurology 89, no. 3 (2017): 249–55. http://dx.doi.org/10.1212/wnl.0000000000004110.

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Objective:To evaluate differences in cerebrovascular reactivity (CVR) to mild hypercapnia in obese/overweight individuals with and without insulin resistance (IR) compared to comparable lean controls.Methods:A total of 60 cognitively normal participants (20 lean controls and 24 obese/overweight individuals with and 16 without IR) were evaluated using a high spatial resolution arterial spin labeling MRI technique at rest and during mild hypercapnia. We analyzed group differences in CVR in cerebral cortex and ascertained the relationships between CVR, IR, and body mass index (BMI).Results:Obese/

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YAMAMOTO, Yukihiro, Hiroshi HIROSE, Ikuo SAITO, et al. "Correlation of the adipocyte-derived protein adiponectin with insulin resistance index and serum high-density lipoprotein-cholesterol, independent of body mass index, in the Japanese population." Clinical Science 103, no. 2 (2002): 137–42. http://dx.doi.org/10.1042/cs1030137.

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Adiponectin, which is secreted specifically by adipose tissue, has been shown to act as an anti-atherosclerotic protein by direct effects on endothelial cells. Clinical studies have shown that adiponectin levels are lower in individuals with obesity, diabetes and coronary artery disease. The present study investigated relationships between serum adiponectin levels and body mass index (BMI), blood pressure, insulin resistance index, lipid profile, uric acid and high-sensitivity C-reactive protein levels in a large number of Japanese subjects not taking any medication for metabolic disease and w

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Dr, Sajjad Safdar Dr Muhammad Ahmed Dr Hira Khan. "RELATIONSHIP BETWEEN BODY MASS INDEX, INSULIN RESISTANCE AND THYROID HORMONE LEVELS." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 05, no. 12 (2018): 15919–23. https://doi.org/10.5281/zenodo.2190997.

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<strong><em>Objective: </em></strong><em>Previous studies have shown an association between thyroid function and insulin resistance and obesity. We compared insulin resistance and body mass index (BMI) in patients with normal TSH levels (2.5–4.2 µIU/mL), patients diagnosed with subclinical hypothyroidism, and healthy control subjects. </em> <strong><em>Methods:  </em></strong><em>The study included 104 subjects and was conducted at the DHQ teaching hospital Gujranwala. The subjects were divided into three groups according to TSH levels: Group 1 (high-normal), TSH levels were 2

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Wanderley, Miriam, Lara Pereira, Carla Santos, Vinícius Cunha, and Mariam Neves. "Association between Insulin Resistance and Cardiovascular Risk Factors in Polycystic Ovary Syndrome Patients." Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics 40, no. 04 (2018): 188–95. http://dx.doi.org/10.1055/s-0038-1642634.

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Objective To analyze the association between the indirect methods of evaluating insulin resistance (IR) and blood pressure, anthropometric and biochemical parameters in a population of polycystic ovary syndrome (PCOS) patients. Methods Cross-sectional study performed at the Hospital Universitário de Brasília (HUB, in the Portuguese acronym) involving PCOS patients diagnosed from January 2011 to January 2013. Four indirect methods, namely, fasting blood insulin level, fasting glucose/insulin ratio (G/I), homeostatic model-assessment-insulin resistance (HOMA-IR), and the quantitative insulin sen

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McLaughlin, Tracey, Cindy Lamendola, Alice Liu, and Fahim Abbasi. "Preferential Fat Deposition in Subcutaneous Versus Visceral Depots Is Associated with Insulin Sensitivity." Journal of Clinical Endocrinology & Metabolism 96, no. 11 (2011): E1756—E1760. http://dx.doi.org/10.1210/jc.2011-0615.

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Abstract Background: Studies on the relationship between regional fat and insulin resistance yield mixed results. Our objective was to determine whether regional fat distribution, independent of obesity, is associated with insulin resistance. Design: Subjects included 115 healthy, overweight/moderately obese adults with body mass index (BMI) 25–36.9 kg/m2 who met predetermined criteria for being insulin resistant (IR) or insulin sensitive (IS) based on the modified insulin suppression test. Computerized tomography was used to quantify visceral adipose tissue (VAT), sc adipose tissue (SAT), and

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Zhang, Guohui, Juan Xu, Qiong Peng, Yalei Xu, and Shaochang Ma. "Analysis of the Correlation Between Visceral Fat Area and Insulin Resistance in Patients with Type 2 Diabetes and Abdominal Obesity." Journal of Clinical and Nursing Research 8, no. 4 (2024): 243–47. http://dx.doi.org/10.26689/jcnr.v8i4.6542.

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Objective: To analyze the correlation between visceral fat area and insulin resistance index (HOMA-IR) in patients with type 2 diabetes mellitus (T2DM) and abdominal obesity and to provide a reference for screening and related research of such patients. Methods: Two hundred patients with T2DM admitted to Guandu People’s Hospital of Kunming were included. The study was carried out from October 2022 to December 2023. The patients were divided into three groups according to different abdominal visceral fat areas (VFA): Group A (n = 65) was less than 75cm2, Group B (n = 75) was 75–100 cm2, and Gro

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Rzepa, Łukasz, Michał Peller, Ceren Eyileten, et al. "Resistin is Associated with Inflammation and Renal Function, but not with Insulin Resistance in Type 2 Diabetes." Hormone and Metabolic Research 53, no. 07 (2021): 478–84. http://dx.doi.org/10.1055/a-1492-3077.

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AbstractThe aim of the study was to investigate the association of adipokines (resistin, leptin and adiponectin) with obesity, insulin resistance (IR) and inflammation in type 2 diabetes mellitus (T2DM). A total of 284 patients with T2DM were included. Concentrations of resistin, leptin, adiponectin, and inflammatory markers [high sensitivity C-reactive protein (hsCRP), tumor necrosis factor α (TNF-α), and interleukin 6 (IL-6)] were measured and homeostatic model assessment for IR (HOMA-IR) index was calculated. Resistin correlated negatively with estimated glomerular filtration rate (eGFR) an

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