scholarly journals Expanded Normal Weight Obesity and Insulin Resistance in US Adults of the National Health and Nutrition Examination Survey

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.

2019 ◽  
Vol 25 (3) ◽  
pp. 256 ◽  
Author(s):  
Huijing He ◽  
Li Pan ◽  
Feng Liu ◽  
Jingang Ma ◽  
Zhiping Hu ◽  
...  

The study aimed to explore the independent association between expanded normal weight obesity categories and blood pressure among adults aged 20–80 years in China. By cross-sectional design, a total of 4279 adults living in Shaanxi Province, China, were selected from communities via multi-stage stratified cluster sampling in 2014. Information on anthropometric, body composition and blood pressure was collected and analysed. Expanded normal weight obesity (ENWO) categories were used to identify the level of bodyweight based on the combination of body mass index (BMI) and body fat percentage (BFP) categories. The age- and sex-standardised prevalence of hypertension increased within ENWO groups, from 10.12% in the underweight-low body fat group to 45.92% in the obesity-high body fat group. In under or normal weight participants, body fat percentage was found independently associated with hypertension in men, with an adjusted odds ratio of 3.69 in the fourth quartile of BFP compared with the first one. However, this effect was not observed in women. BFP was independently associated with increased risk of hypertension, especially in men. People with normal BMI should be re-identified as a high-risk population based on BFP level when it comes to hypertension prevention in primary healthcare settings.


2020 ◽  
Vol 9 (12) ◽  
pp. 3873
Author(s):  
José Ignacio Martínez-Montoro ◽  
María Molina-Vega ◽  
Maite Asenjo-Plaza ◽  
María Concepción García-Ruiz ◽  
Enrique Varea-Marineto ◽  
...  

Obesity is associated with decreased circulating testosterone levels, the main male sex hormone. However, there are a number of different male sex hormones whose dynamics remain poorly understood regarding this pathology. In this regard, 17 hydroxyprogesterone (17-OH progesterone), as an important precursor of testosterone synthetized in testes and adrenal glands, could play an essential role in testosterone deficiency in male obesity. Moreover, similarly to testosterone, 17-OH progesterone could be closely associated with visceral fat distribution and metabolic dysfunction. Thus, the aim of this study was to assess serum 17-OH progesterone levels in non-diabetic obese young men and to evaluate their relationship with clinical, analytical, and anthropometric parameters. We conducted a cross-sectional study including 266 non-diabetic men with obesity (BMI ≥ 30 kg/m2) aged 18–49 years; 17-OH progesterone and total testosterone (TT) were determined by high-performance liquid chromatography mass spectrometry. 17-OH progesterone levels were significantly lower in tertile 3 of body fat percentage in comparison with tertile 1 (0.74 ng/mL vs. 0.94 ng/mL, p < 0.01; Bonferroni correction) and in comparison with tertile 2 (0.74 ng/mL vs. 0.89 ng/mL, p = 0.02; Bonferroni correction). 17-OH progesterone levels correlated negatively with weight, BMI, waist circumference, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), and visceral fat, and positively with TT, free testosterone (FT), luteinizing hormone, and fat-free mass percentage. Multivariate linear-regression analysis showed that body fat percentage and HOMA-IR were inversely associated with 17-OH progesterone levels, while FT and ACTH were positively linked to circulating 17-OH progesterone levels. In conclusion, in a population of non-diabetic obese young men, 17-OH progesterone levels were inversely associated with adiposity. Body fat percentage and insulin resistance were negatively related to 17-OH progesterone levels, whereas FT and ACTH levels were positively associated with 17-OH progesterone levels.


2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jinkyung Cho ◽  
Haeryun Hong ◽  
Soohyun Park ◽  
Shinuk Kim ◽  
Hyunsik Kang

Background. This study investigated the association between insulin resistance (IR) and metabolic syndrome (MetS) in children. Methods. A cross-sectional study involving 1036 healthy children aged between 7 and 13 years was conducted. Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated as an index of IR. Participants were classified according to the HOMA-IR quartiles. Results. Incremental, linear trends were found in age (p<0.001), body mass index (BMI) (p<0.001), body fat (p<0.001), waist circumference (p<0.001), resting blood pressures (BP) (p<0.001), triglycerides (TG) (p<0.001), total cholesterol (TC) (p<0.001), high density lipoprotein-cholesterol (HDL-C) (p<0.001), FBG (p<0.001), and insulin (<0.001) according to incremental HOMA-IR categories (from the 1st to 4th quartile). Compared with children in the 1st HOMA-IR quartile, children in the 4th HOMA-IR quartile had significantly higher odd ratios (ORs) of abnormalities in systolic (p=0.051) and diastolic BP (p=0.005), FBG (p<0.001), TG (p<0.001), TC (p=0.016), and HDL-C (p=0.006) even after adjustments for age, gender, BMI, and body fat percentage. Children in the 3rd HOMA-IR quartile had significant abnormalities in FBG (p<0.001), TG (p=0.001), and HDL-C (p=0.010) even after adjustments for the covariates. Conclusion. The current findings suggest that IR is significantly associated with the clustering of MetS risk factors in children in Korea.


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.


Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yuan-Yuei Chen ◽  
Tung-Wei Kao ◽  
Wen-Hui Fang ◽  
Chung-Ching Wang ◽  
Yaw-Wen Chang ◽  
...  

2019 ◽  
Author(s):  
Qinpei Zou ◽  
Chang Su ◽  
Wenwen Du ◽  
Yifei Ouyang ◽  
Huijun Wang ◽  
...  

Abstract Background As with the unprecedented economic and social development in China, physical activity (PA) have decreased dramatically and body fat percentage (BF%) have varied. In the lasted large scale field investigation, we described the distribution of PA and BF%, and their association across the entire percentiles. Methods Based on data from China Health and Nutrition Surveys (CHNS) in 2015, 5763 participants aged 40-64 years coming from 15 provinces were included. PA was calculated as metabolic equivalent task hours per day (MET·h/d). BF% was measured by bioelectrical impedance analysis (BIA). Kruskal-Wallis test was used to test the difference of PA among gender, age, BMI groups, education, income, region and urbanization. Gender-Body mass index (BMI)-stratified quantile regression (QR) analyses were utilized to describe the association between PA and BF% distribution. Results A part of non-overweight/obese participants had high body fat. Older adults, overweight/obese group, higher education, higher income, residents of central China and higher urbanization had lower PA. Participants who engaged in vigorous PA had median BF% 2.0% and 1.5% lower than the slightly PA group (23.4%, 34.8%) for men and women, respectively. For every additional hour of moderate PA (4.5 MET·h/d), the total BF% was reduced by a median of 0.0290%, 0.0539% and 0.0699% in the 50th, 75th and 90th percentiles respectively, and 0.0490%, 0.0854% and 0.0998% in trunk BF% at the correspondingly percentiles respectively. The association between PA and total BF% was the strongest in normal weight obesity participants than others. Females and the non-overweight/obese group had more statistical significant coefficients at multiple percentiles than males and the overweight/obese group, respectively. Conclusions In middle-aged adults in China, a part of normal weight obesity persons were in non-overweight/obese group and women prone to gain fat mass with BMI increasing but muscle in men. Individuals with vigorous PA had lower BF% comparing with slightly active ones, and an extra moderate leisure PA per day was recommended, especially for normal weight obesity and abdominal adipose individuals.


Food Research ◽  
2020 ◽  
Vol 4 (S3) ◽  
pp. 13-17
Author(s):  
I. Mulyasari ◽  
Purbowati

New indicators have been proposed in order to detect obesity and body fat distribution, such as conicity index (CI). The previous study found that CI has a significant correlation with high body fat in adolescents. This study aimed to assess the association of Conicity Index (CI) with Body Mass Index (BMI) and Body Fat Percentage (%BF) and evaluated the accuracy of CI based on %BF as gold standard for identification of obesity in adolescents. This cross-sectional study consisted of 620 adolescents (283 boys and 337 girls) aged 14-18 years. The correlation was tested using Spearman analysis. Obesity was based on age-and-sex specific body fat percentage cut-off values of body fat reference curves for children from Growth Foundation. Receiver operating characteristic (ROC) curve analyses were used to assess the accuracy of CI as a diagnostic test of obesity in adolescents. This study showed that CI was significantly correlated with BMI (boys: r = 0.485, p<0.0001; girls: r = 0.302, p<0.0001) and %BF (boys: r = 0.544, p<0.0001; girls: r = 0.347, p<0.0001). The area under curve (AUC) of CI for the diagnostic of obesity were over 0.9 for boys and over 0.7 for girls. The cut-off values for defining obesity were 1.13 (Sensitivity (Se) and Specificity (Sp) > 0.8) for boys and 1.14 (Se and Sp > 0.6) for girls. In conclusion, CI positively associated with BMI and % BF. CI is more accurate in boys than girls for the screening of excess adiposity in adolescents.


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