scholarly journals Independent associations of thyroid-related hormones with hepatic steatosis and insulin resistance in euthyroid overweight/obese Chinese adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Danyan Ma ◽  
Jinyang Zeng ◽  
Bingkun Huang ◽  
Fangfang Yan ◽  
Jiawen Ye ◽  
...  

Abstract Purpose The aim of the study is to explore the independent association of free triiodothyronine (FT3), free thyroxine (FT4) and thyroid stimulating hormone (TSH) with hepatic steatosis and insulin resistance. Methods A cross-sectional study of 88 overweight/obese adults who underwent anthropometric measurements [BMI, waist circumference (WC) and waist-to-height ratio (WHtR)], hepatic steatosis assessment (FibroScan) and thyroid-related hormones tests was conducted from 2018 to 2020 in Xiamen, China. Results Subjects with increasing tertiles of FT3 showed significantly higher levels of controlled attenuation parameter (CAP) ((295.4 ± 44.1, 290.1 ± 68.2 and 331.7 ± 43.6 (dB/m) for tertile 1–3, respectively, p = 0.007) and fatty liver index (FLI) score (47.7 (33.9–60.8), 61.5 (45.1–88.9) and 90.5 (84.5–94.8), respectively, p < 0.001). FT3 significantly and positively correlated with obesity index (BMI, WC, and WHtR), homeostatic model assessment of insulin resistance (HOMA-IR) and hepatic steatosis (CAP and FLI). Multivariable linear regression analyses with adjustment for potential confounding factors showed FT3 was independently associated with BMI (regression coefficient (β (95%CI): 0.024 (0.004–0.043), p = 0.020), HOMA-IR (β (95%CI): 0.091 (0.007–0.174), p = 0.034), CAP (β (95%CI): 25.45 (2.59–48.31), p = 0.030) and FLI (β (95%CI): 0.121 (0.049–0.194), p = 0.001). Neither FT4 nor TSH was significantly associated with any indicators of obesity, insulin resistance or hepatic steatosis. Conclusions Increased FT3, but not FT4 or TSH, was independently associated with higher risks of hepatic steatosis and insulin resistance in euthyroid overweight/obese Chinese adults. Trial registration Registration is not applicable for our study.

2021 ◽  
Author(s):  
Danyan Ma ◽  
Jinyang Zeng ◽  
Bingkun Huang ◽  
Fangfang Yan ◽  
Jiawen Ye ◽  
...  

Abstract Purpose: The aim of the study is to explore the independent association of free triodothyronine (FT3), free thyroxine (FT4) and thyroid stimulating hormone (TSH) with hepatic steatosis and insulin resistance.Methods: A cross-sectional study of 88 overweight/obese adults who underwent anthropometric measurements (BMI, waist circumference (WC) and waist-to-height ratio (WHtR)), hepatic steatosis assessment (FibroScan) and thyroid-related hormones tests was conducted from 2018 to 2020 in Xiamen, China.Results: Subjects with increasing tertiles of FT3 showed significantly higher levels of controlled attenuation parameter (CAP) ((295.4±44.1, 290.1 ± 68.2 and 331.7 ± 43.6 (dB/m) for tertile 1-3, respectively, p=0.007) and fatty liver index (FLI) score (47.7 (33.9-60.8), 61.5 (45.1-88.9) and 90.5 (84.5-94.8), respectively, p<0.001). FT3 significantly and positively correlated with obesity index (BMI, WC, and WHtR), homeostatic model assessment of insulin resistance (HOMA-IR) and hepatic steatosis (CAP and FLI). Multivariable linear regression analyses with adjustment for potential confounding factors showed FT3 was independently associated with BMI (regression coefficient (β(95%CI): 0.024(0.004-0.043), p=0.020), HOMA-IR (β(95%CI): 0.091(0.007-0.174), p=0.034), CAP (β(95%CI): 25.45(2.59-48.31), p=0.030) and FLI (β(95%CI): 0.121(0.049-0.194), p=0.001). Neither FT4 nor TSH was significantly associated with any indicators of obesity, insulin resistance or hepatic steatosis.Conclusions: Increased FT3, but not FT4 or TSH, was independently associated with higher risks of hepatic steatosis and insulin resistance in euthyroid overweight/obese Chinese adults.Trial registration: Registration is not applicable for our study.


Medicina ◽  
2021 ◽  
Vol 58 (1) ◽  
pp. 9
Author(s):  
Igor Lukic ◽  
Nikola Savic ◽  
Maja Simic ◽  
Nevena Rankovic ◽  
Dragica Rankovic ◽  
...  

Background and Objectives: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resistance in adolescents is monitored, they do not necessarily have hyperinsulinemia. It is considered a condition of pre-diabetes and represents a condition of increased risk of developing DM (diabetes mellitus); it can exist for many years without people having the appropriate symptoms. This study aims to determine the risk of developing hyperinsulinemia at an early age in adolescents by examining which factors are crucial for its occurrence. Materials and Methods: The cross-sectional study lasting from 2019 to 2021 (2 years) was realized at the school children’s department in the Valjevo Health Center, which included a total of 822 respondents (392 male and 430 female) children and adolescents aged 12 to 17. All respondents underwent a regular, systematic examination scheduled for school children. BMI is a criterion according to which respondents are divided into three groups. Results: After summary analyzes of OGTT test respondents and calculated values of HOMA-IR (homeostatic model assessment for insulin resistance), the study showed that a large percentage of respondents, a total of 12.7%, are at risk for hyperinsulinemia. The research described in this paper aimed to use the most popular AI (artificial intelligence) model, ANN (artificial neural network), to show that 13.1% of adolescents are at risk, i.e., the risk is higher by 0.4%, which was shown by statistical tests as a significant difference. Conclusions: It is estimated that a model using three different ANN architectures, based on Taguchi’s orthogonal vector plans, gives more precise and accurate results with much less error. In addition to monitoring changes in each individual’s risk, the risk assessment of the entire monitored group is updated without having to analyze all data.


2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
F.A. Gomes ◽  
P.V.d.S. Magalhães ◽  
M. Kunz ◽  
A. Andreazza ◽  
L. Silveira ◽  
...  

Aims:To evaluate insulin resistance (IR) among outpatients with bipolar disorder (BD) in order to determine clinical correlates of IR in this patient population.Method:We performed a cross-sectional study in sixty-five DSM-IV-TR BD patients consecutively assessed from January to August 2007 at the Bipolar Disorder Program, Hospital de Clínicas de Porto Alegre, Brazil. IR was diagnosed using the homeostatic model assessment - insulin resistance (HOMA-IR). Metabolic syndrome (MS) diagnosis and metabolic variables were assessed using three definitions: National Cholesterol Educational Program - Adult Treatment Panel III (NCEP-ATP III); NCEP-ATP III modified criteria and International Diabetes Federation (IDF).Results:IR was present in 43.1% of the sample (women 40%, men 44.4%). The prevalence of MS defined by the NCEP-ATP III criteria was 32.3%, NCEP-ATP III modified was 40% and IDF was 41.5%. NCEP-ATP III modified criteria showed the best trade-off between sensitivity (78.6%) and specificity (89.2%) to detect insulin resistance. Waist circumference was the best clinical parameter associated with IR in the linear regression model (B=0.014, SE 0.002, t=6.18, p< 0.001). Areas under ROC curves were similar for waist circumference and different MS definitions (chi2=2.98, df=3, p=0.39).Conclusion:Currently MS criteria may provide reasonable sensitivity and specificity for the detection of insulin resistance in patients with bipolar disorder. Waist circumference may be a simple and inexpensive means to predict insulin resistance in this population.


2015 ◽  
Vol 100 (7) ◽  
pp. 2640-2650 ◽  
Author(s):  
Teresa M. Attina ◽  
Leonardo Trasande

Context: Di-isononyl phthalate (DINP) and di-isodecyl phthalate (DIDP) are environmental chemicals increasingly used to replace di-2-ethylhexylphthalate (DEHP) and commonly found in processed foods. Phthalate exposures, in particular DEHP, have been associated with insulin resistance in adolescents, but there are no data regarding the two substitutes, DINP and DIDP. Objective: This study aimed to examine associations of DINP, DIDP, and DEHP with insulin resistance outcomes. Design, Setting, and Participants: This was a cross-sectional analysis of 2009–2012 National Health and Nutrition Examination Surveys (NHANES) composed of 356 fasting 12–19-year-olds. Main Outcome Measures: Insulin resistance as a categorical outcome expressed as homeostatic model assessment of insulin resistance (HOMA-IR), using a cut point of 4.39 to define insulin resistance. We also examined continuous HOMA-IR as an outcome in secondary analyses. Results: Controlling for demographic and behavioral factors, diet, age, body mass index, and urinary creatinine, for each log increase in DINP metabolite, a 0.08 (P = .001) increase in HOMA-IR was identified. Compared with the first tertile of DINP (23.4% adjusted prevalence), the third tertile was associated with a 34.4% prevalence (95% confidence interval [CI], 27.3–41.6%; P = .033) of insulin resistance. Similarly, compared with the first tertile of DEHP (20.5% adjusted prevalence), the third tertile had 37.7% prevalence (95% CI 29.8–45.6%; P = .003). Conclusions: Urinary DINP concentrations were associated with increased insulin resistance in this cross-sectional study of adolescents. The previously identified association of DEHP with insulin resistance was also confirmed. Further, longitudinal studies are needed to confirm these associations, with the possibility to assess opportunities for intervention.


Author(s):  
Mathuramat Seesen ◽  
Roberto G. Lucchini ◽  
Somkiat Siriruttanapruk ◽  
Ratana Sapbamrer ◽  
Surat Hongsibsong ◽  
...  

Insulin resistance is a risk factor for various diseases. Chronic organophosphate exposure has been reported to be a cause of insulin resistance in animal models. This cross-sectional study aimed to evaluate the association between organophosphate exposure and insulin resistance in pesticide sprayers and nonfarmworkers. Participants aged 40–60 years, consisting of 150 pesticide sprayers and 150 nonfarmworkers, were interviewed and assessed for their homeostatic model assessment of insulin resistance (HOMA-IR) level. Organophosphate (OP) exposure was measured in 37 sprayers and 46 nonfarmworkers by first morning urinary dialkyl phosphate (DAP) metabolites. The DAP metabolite levels were not different in either group except for diethylthiophosphate (DETP; p = 0.03), which was higher in sprayers. No significant association was observed between DAP metabolite levels and HOMA-IR. Wearing a mask while handling pesticides was associated with lower dimethyl metabolites (95% CI = −11.10, −0.17). Work practices of reading pesticide labels (95% CI = −81.47, −14.99) and washing hands after mixing pesticide (95% CI = −39.97, −3.35) correlated with lower diethyl alkylphosphate level. Overall, we did not observe any association between OP exposure and insulin resistance in pesticide sprayers and the general population. However, personal protective equipment (PPE) utilization and work practice were associated with OP exposure level in sprayers.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Keilah E. Martinez ◽  
Larry A. Tucker ◽  
Bruce W. Bailey ◽  
James D. LeCheminant

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 resistance. Mean ± SE values were BMI: 27.9 ± 0.2 (women) and 27.8 ± 0.1 (men); body fat percentage: 40.5 ± 0.2 (women) and 27.8 ± 0.2 (men); and HOMA-IR: 2.04 ± 0.05 (women) and 2.47 ± 0.09 (men). HOMA-IR differed systematically and in a dose-response fashion across all levels of the eNWO categories (F=291.3,P<0.0001). As BMI levels increased, HOMA-IR increased significantly, and within each BMI category, higher levels of body fat were associated with higher levels of HOMA-IR. Both high BMI and high BF% were strongly related to insulin resistance. Insulin resistance appears to increase incrementally according to BMI levels primarily and body fat levels secondarily. Including a precise measure of body fat with BMI adds little to the utility of BMI in the prediction of insulin resistance.


Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2979
Author(s):  
Minna F. Schleu ◽  
Beatriz Barreto-Duarte ◽  
Maria B. Arriaga ◽  
Mariana Araujo-Pereira ◽  
Ana Marice Ladeia ◽  
...  

Adult women are more likely to be obese than men. Moreover, there is evidence that obesity is a risk factor for increased insulin resistance (IR) and hypovitaminosis D (VITD), conditions related to metabolic and endocrinologic disturbance. We performed a cross-sectional study with 103 women diagnosed with obesity, recruited between 2009 and 2013, in an obesity referral outpatient clinic in Bahia, Brazil. Laboratory and clinical characteristics were compared between the groups according to the degree of obesity (I, II and III), and levels of 25-hydroxyvitamin D [25(OH)D] were used to define the VITD status (insufficiency and no insufficiency). We calculated the homeostatic model assessment-IR (HOMA-IR) index to assess insulin resistance in the groups. Our analyses revealed that HOMA-IR values and VITD levels were inversely correlated. Furthermore, we observed a distinct expression profile of values of laboratory markers according to 25(OH)D levels. Negative correlations were found between HOMA-IR and body mass index (BMI) in VITD insufficient participants but not in those with the sufficiency. Furthermore, multivariate regression demonstrated independent associations between lower levels of 25(OH)D and increased values of HOMA-IR. These findings suggests that lower levels of VITD are strongly associated with the increased IR in obese women.


2019 ◽  
Vol 67 (4) ◽  
pp. 447-450
Author(s):  
Consuelo Chang-Rueda ◽  
Ana Cañas-Urbina ◽  
Karina Trujillo-Murillo ◽  
Marisol Espinoza-Ruiz ◽  
Jorge Feliciano-Díaz ◽  
...  

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) percentile of 112 children (5-19 years old). Glucose and fasting insulin values were quantified and used for estimation of HOMA-IR.Results: The combined prevalence of obesity and overweight was 66%, with insulin (p=0.010) and HOMA-IR (p=0.015) values higher than those of the normal weight group. The HOMA-IR values correlated positively with age (r=0.636), weight (r=0.569), height (r=0.578) and BMI percentile (r=0.198).Conclusions: In the study population, HOMA-IR has a moderately significant correlation with an increase in BMI percentile.


2012 ◽  
Vol 97 (2) ◽  
pp. E223-E227 ◽  
Author(s):  
Tiange Wang ◽  
Mian Li ◽  
Bing Chen ◽  
Min Xu ◽  
Yu Xu ◽  
...  

Context: Bisphenol A (BPA) is one of the world's highest-volume chemicals in use today. Previous studies have suggested BPA disturbs body weight regulation and promotes obesity and insulin resistance. But epidemiological data in humans were limited. Objective: Our objective was to determine whether BPA associates with obesity and insulin resistance. Design, Setting, and Participants: This cross-sectional study included 3390 adults aged 40 yr or older, in Songnan Community, Baoshan District, Shanghai, China. Main Outcome Measures: Questionnaire, clinical and biochemical measurements, and urinary BPA concentration were determined. Generalized overweight was defined as body mass index (BMI) of 24 to less than 28 kg/m2 and obesity was defined as BMI of 28 kg/m2 or higher. Abdominal obesity was defined as waist circumference at least 90 cm for men and at least 85 cm for women. Insulin resistance was defined as the index of homeostasis model assessment of insulin resistance higher than 2.50. Results: The participants in the highest quartile of BPA had the highest prevalence of generalized obesity [odds ratio (OR) = 1.50; 95% confidence interval (CI) = 1.15–1.97], abdominal obesity (OR = 1.28; 95% CI = 1.03–1.60), and insulin resistance (OR = 1.37; 95% CI = 1.06–1.77). In participants with BMI under 24 kg/m2, compared with the lowest quartile, the highest quartile of BPA increased the prevalence of insulin resistance by 94% (OR = 1.94; 95% CI = 1.20–3.14), but this association was not observed in those with BMI of 24 kg/m2 or higher. Conclusions: BPA was positively associated with generalized obesity, abdominal obesity, and insulin resistance in middle-aged and elderly Chinese adults.


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