scholarly journals Association between thyroid hormones and insulin resistance indices based on the Korean National Health and Nutrition Examination Survey

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yun Mi Choi ◽  
Min Kyung Kim ◽  
Mi Kyung Kwak ◽  
Dooman Kim ◽  
Eun-Gyoung Hong
Keyword(s):  
Insulin Resistance ◽  
National Health ◽  
Thyroid Dysfunction ◽  
Overt Hypothyroidism ◽  
Model Assessment ◽  
Nutrition Examination Survey ◽  
Free T4 ◽  
Tyg Index ◽  
Health And Nutrition ◽  
Post Menopausal

AbstractThyroid dysfunction has been implicated as a potential pathophysiological factor in glucose homeostasis and insulin resistance (IR). This study aimed to identify the correlation between thyroid dysfunction and IR. We used data from the sixth Korean National Health and Nutrition Examination Survey to evaluate a total of 5727 participants. The triglyceride glucose (TyG) index and homeostasis model assessment of insulin resistance (HOMA-IR) were calculated to represent IR. Correlation analysis was performed between thyroid dysfunction and IR. The log-transformed TSH (LnTSH) and free T4 were significantly correlated with the TyG index (TSH, beta coefficient 0.025, 95% confidence interval [CI] 0.014–0.036, p < 0.001; free T4, − 0.110 (− 0.166 to − 0.054), p < 0.001) but not HOMA-IR. Overt hypothyroidism is correlated with increased TyG index in pre-menopausal females (0.215 (0.122–0.309) p < 0.001). On the other hand, overt hyperthyroidism is correlated with increased HOMA-IR in males (0.304 (0.193–0.416), p < 0.001) and post-menopausal females (1.812 (1.717–1.907), p < 0.001). In euthyroid subjects, LnTSH and TyG index were significantly correlated in females. In conclusion, both hyperthyroidism and hypothyroidism might be associated with IR but by different mechanisms. It might be helpful to assess IR with appropriate indexes in patients with thyroid dysfunction.

scholarly journals Selenium Status Is Associated With Insulin Resistance Markers in Adults: Findings From the 2013 to 2018 National Health and Nutrition Examination Survey (NHANES)

2021 ◽  
Vol 8 ◽  
Author(s):  
Barbara R. Cardoso ◽  
Sabine Braat ◽  
Ross M. Graham
Keyword(s):  
Insulin Resistance ◽  
National Health ◽  
Smoking Status ◽  
Selenium Concentration ◽  
Model Assessment ◽  
Nutrition Examination Survey ◽  
Selenium Status ◽  
High Exposure ◽  
Health And Nutrition ◽  
Increased Risk

Although literature has been consistently showing an increased risk of type 2 diabetes (T2DM) in populations with high exposure to selenium, there is a lack of information quantifying the association between diabetes-related markers and the nutritional status of selenium. Therefore, we aimed to investigate the association between blood selenium concentration and glucose markers in a representative sample of the US population, which is known to have moderate to high exposure to selenium. This cross-sectional analysis included 4,339 participants ≥18 years from the 2013 to 2018 National Health and Nutrition Examination Survey (NHANES). All participants were assessed for whole blood selenium concentration, fasting plasma insulin and glucose, HbA1c, and HOMA-IR (Homeostatic Model Assessment for Insulin Resistance). In this cohort, all participants presented with adequate selenium status [196.2 (SD: 0.9) μg/L] and 867 (15%) had diabetes mellitus. Selenium was positively associated with insulin, glucose and HOMA-IR in models adjusted for age and sex. When the models were further adjusted for smoking status, physical activity, metabolic syndrome and BMI, the associations with insulin and HOMA-IR remained but the association with glucose was no longer significant. A 10 μg/L increase in selenium was associated with 1.5% (95% CI: 0.4–2.6%) increase in insulin and 1.7% (95% CI: 0.5–2.9%) increase in HOMA-IR in fully adjusted models. There was no evidence of an association between selenium and diabetes prevalence. Our findings corroborate the notion that selenium supplementation should not be encouraged in populations with high dietary intake of selenium.

scholarly journals Association between Frequency of Breakfast Consumption and Insulin Resistance Using Triglyceride-Glucose Index: A Cross-Sectional Study of the Korea National Health and Nutrition Examination Survey (2016–2018)

2020 ◽  
Vol 17 (9) ◽  
pp. 3322
Author(s):  
Hye Jin Joo ◽  
Gyu Ri Kim ◽  
Eun-Cheol Park ◽  
Sung-In Jang
Keyword(s):  
Insulin Resistance ◽  
National Health ◽  
Cross Sectional Study ◽  
Nutrition Examination Survey ◽  
Cross Sectional ◽  
Breakfast Consumption ◽  
Social Burden ◽  
Tyg Index ◽  
Health And Nutrition ◽  
Important Message

Diabetes mellitus is an important chronic disease causing economic and social burden. Insulin resistance is a determinant of diabetes, and regular eating patterns are an important factor in blood sugar control. This study investigated the association between breakfast frequency and the risk of increased insulin resistance in Koreans. Data for 12,856 participants without diabetes in the 2016–2018 Korea National Health and Nutrition Examination Survey were analyzed. Insulin resistance was assessed using the triglyceride-glucose (TyG) index, while the median TyG index value was used to define higher (≥8.5) vs. lower (<8.5) insulin resistance. Association between breakfast frequency and risk of increased insulin resistance was investigated using multiple logistic regression. Compared with those who had regular breakfast 5–7 times per week, the odds ratios (95% confidence intervals) of individuals who did not eat breakfast were the highest at 1.42 (95% CI = 1.24–1.64, p ≤ 0.0001). Those who had breakfast 1–4 times per week had an odds ratio of 1.17 (95% CI = 1.03–1.32, p = 0.0153). We found that a lower weekly breakfast consumption was associated with a higher risk of insulin resistance in Koreans. Promoting the benefits of breakfast can be an important message to improve the health of the population.

Low hydration status may be associated with insulin resistance and fat distribution: analysis of the Korea National Health and Nutrition Examination Survey (KNHANES) 2008–2010

2020 ◽  
Vol 124 (2) ◽  
pp. 199-208
Author(s):  
Hyang K. Min ◽  
Hyun Y. Ko ◽  
Jin T. Kim ◽  
Lise Bankir ◽  
Sung W. Lee
Keyword(s):  
Insulin Resistance ◽  
National Health ◽  
Fat Distribution ◽  
Hydration Status ◽  
Distribution Analysis ◽  
Model Assessment ◽  
Nutrition Examination Survey ◽  
Generalised Additive Model ◽  
Mediation Effects ◽  
Health And Nutrition

AbstractWe aimed to identify the association of hydration status with insulin resistance (IR) and body fat distribution. A total of 14 344 adults participated in the Korea National Health and Nutrition Examination Survey 2008–2010. We used urine specific gravity (USG) to indicate hydration status, and HOMA-IR (homoeostasis model assessment of IR) and trunk:leg fat ratio (TLR) as primary outcomes. In multivariate logistic regression, the OR per 0·01 increase in USG for high IR was 1·303 (95 % CI 1·185, 1·433; P < 0·001). In multivariate generalised additive model plots, increased USG showed a J-shaped association with logarithmic HOMA-IR, with the lowest Akaike’s information criterion score of USG 1·030. Moreover, increased USG was independently associated with increased trunk fat, decreased leg fat and increased TLR. In mediation analysis, the proportion of mediation effects of USG on TLR via IR was 0·193 (95 % CI 0·132, 0·285; P < 0·001), while the proportion of mediation effects of USG on IR via TLR was 0·130 (95 % CI 0·086, 0·188; P < 0·001). Increased USG, a sign of low hydration status and presumably high vasopressin, was associated with IR and poor fat distribution. Direct effect of low hydration status may be more dominant than indirect effect via IR or fat distribution. Further studies are necessary to confirm our findings.

The association between rest-activity rhythms and glycemic markers: the US National Health and Nutrition Examination Survey, 2011-2014

SLEEP ◽  
2021 ◽  
Author(s):  
Qian Xiao ◽  
Charles E Matthews ◽  
Mary Playdon ◽  
Cici Bauer
Keyword(s):  
National Health ◽  
Multinomial Logistic Regression ◽  
Oral Glucose ◽  
Model Assessment ◽  
Nutrition Examination Survey ◽  
Activity Rhythms ◽  
Health And Nutrition ◽  
Lower Amplitude ◽  
Glycemic Markers ◽  
Rest Activity

Abstract OBJECTIVES Previous studies conducted in mostly homogeneous sociodemographic samples have reported a relationship between weakened and/or disrupted rest-activity patterns and metabolic dysfunction. This study aims to examine rest-activity rhythm characteristics in relation to glycemic markers in a large nationally-representative and diverse sample of American adults. METHODS This study used data from the National Health and Nutrition Examination Survey 2011-2014. Rest-activity characteristics were derived from extended cosine models using 24-hour actigraphy. We used multinomial logistic regression and multiple linear regression models to assess the associations with multiple glycemic markers (i.e., glycated hemoglobin, fasting glucose and insulin, homeostatic model assessment of insulin resistance, and results from the oral glucose tolerance test), and compared the results across different categories of age, gender, race/ethnicity and body-mass index. RESULTS We found that compared to those in the highest quintile of F statistic , a model-fitness measure with higher values indicating a stronger cosine-like pattern of daily activity, participants in the lowest quintile (i.e, those with the weakest rhythmicity) were 2.37 times more likely to be diabetic (OR Q1 vs. Q5 2.37 (95% CI 1.72, 3.26), p-trend &lt;.0001). Similar patterns were observed for other rest-activity characteristics, including lower amplitude (2.44 (1.60, 3.72)), mesor (1.39 (1.01, 1.91)), and amplitude:mesor ratio (2.09 (1.46, 2.99)), and delayed acrophase (1.46 (1.07, 2.00)). Results were consistent for multiple glycemic biomarkers, and across different sociodemographic and BMI groups. CONCLUSIONS Our findings support an association between weakened and/or disrupted rest-activity rhythms and impaired glycemic control among a diverse US population.

scholarly journals STUDY OF INSULIN RESISTANCE AND THYROID PROFILE IN WOMEN WITH SPONTANEOUS ABORTIONS

2020 ◽  
pp. 1-3
Author(s):  
Annapoorani R ◽  
Nagasudha D
Keyword(s):  
Insulin Resistance ◽  
Thyroid Dysfunction ◽  
Previous History ◽  
Oral Glucose ◽  
Study Group ◽  
Thyroid Function Tests ◽  
Model Assessment ◽  
Spontaneous Abortions ◽  
Free T4 ◽  
Free T3

Thyroid dysfunction and insulin resistance are important endocrinological causes of spontaneous abortions. This study is resistancewith spontaneous abortions Thyroid dysfunction and Insulin resistance are common endocrinological causes of abortions.The present study is a case control study where 75 patients with spontaneous abortions below 20 weeks were taken as cases and 75 patients with normal on going pregnancy without previous history of miscarriage were taken as controls. Thyroid Function Tests (Free T3 ,Free T4,TSH) ,Oral Glucose Tolerance Test following 75 mg glucose load were done in cases and controls. Fasting glucose and insulin levels were measured and Insulin resistance was calculated using homeostatic model assessment method (HOMA- IR).Free T3 levels were signicantly lower and TSH levels were signicantly higher in study group indicating the presence of hypothyroidism in the abortus group. The HOMA-IR insulin resistance scores were apparently higher in the study group than in the controls, but it was not statistically signicant.

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