scholarly journals Idiopathic Hirsutism and Insulin Resistance

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Afsaneh Talaei ◽  
Zahra Adgi ◽  
Mahnaz Mohamadi Kelishadi
Keyword(s):  
Insulin Resistance ◽  
Basal Insulin ◽  
Polycystic Ovary ◽  
Insulin Level ◽  
Cross Sectional Study ◽  
Control Group ◽  
Model Assessment ◽  
Cross Sectional ◽  
Insulin Resistant ◽  
Idiopathic Hirsutism

Background and Objectives. Polycystic ovary syndrome (PCOS) and idiopathic hirsutism (HI) are the two most common causes of hirsutism. Insulin resistance plays a key role in PCOS, but there are not enough data showing that patients with HI also have insulin resistance. This study was designed to evaluate the presence of insulin resistance in women with HI.Methods. Based on a cross-sectional study, two groups of age-BMI matched, hirsute women were compared to age-BMI matched, nonhirsute women. Sixty nonobese women with PCOS, thirty nonobese women with HI, and sixty nonobese control women were included in the study. Samples of hormones including androgens were measured. Insulin resistance based on homeostasis model assessment of insulin resistance (HOMA-IR) was compared between three groups by the Kruskal-Wallis test.Results. Patients with PCOS had significantly higher basal insulin level (16.04±1.4versus7.32±6.85 μIu/mL) and HOMA-IR score (3.7±3.36versus1.75±1.67) than patients with HI (P  0.001). Patients with HI also had significantly higher basal insulin level and HOMA-IR score than control group (P  0.001).Conclusion. Our data suggest that both PCOS and HI are associated with insulin resistance and these patients are more insulin resistant than healthy control people.

scholarly journals A cross sectional study of fasting and post prandial insulin level as a predictor of insulin resistance with hyperinsulinemia with HOMA-IR >2.5 among overweight and obese prepubertal children in a tertiary care Hospital of Bangalore, India

2018 ◽  
Vol 5 (4) ◽  
pp. 1382
Author(s):  
Sujith K. R. ◽  
Kiran Raj H.
Keyword(s):  
Insulin Resistance ◽  
Blood Glucose ◽  
Basal Insulin ◽  
Tertiary Care ◽  
Insulin Level ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional

Background: Overweight and obesity has reached epidemic proportions in developed countries and is rapidly increasing. The proportion of children in the general population who are overweight and obese has doubled over the past two decades in developed and developing countries including India and have a rising prevalence of diabetes. Insulin resistance if detected early, we can intervene early to slow or halt the progression of the associated co morbidities. Dynamic phase of juvenile obesity is initially characterized by an abnormal postprandial profile of plasma insulin, even when fasting insulin levels are still normal and insulin sensitivity is slightly increased. Objective of present study was to find out the occurrence of hyperinsulinemia and Insulin Resistance Markers among   overweight and obese children between 7 to 11 years.Methods: A cross sectional study was carried out in the Bangalore Baptist Hospital, Hebbal, Bangalore from September 2013 to May 2014. Children in the age group of 7 to 11 years who are overweight or obese admitted in the as per WHO Growth Charts were included in the study.A total of 51 Cases were included.Results: In present study the 21 (41.2%) of the study subjects were classified as Overweight and 30 (58.8%) were Obese. The association between level of HOMA-IR and the study variables like age, weight, Height, BMI, FBS, PPBS were found to not significant statistically with p value being more than 0.5. The Pearson Corelation between HOMA-IR and Fasting Blood Glucose, Post Prandial Blood Glucose level, Fasting Basal Insulin Level and Post Prandial Basal Insulin Level were found to statistically significant.Conclusions: Hyperinsulinism and insulin resistance is a concern not only in obese but also in overweight children as shown by the occurrence of insulin resistance.

scholarly journals Retinol binding protein 4, obesity, and insulin resistance in adolescents

2017 ◽  
Vol 57 (1) ◽  
pp. 1
Author(s):  
Ronaldi Noor ◽  
Eka Agustria Rini ◽  
Eti Yerizel
Keyword(s):  
Insulin Resistance ◽  
Binding Protein ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Retinol Binding Protein ◽  
Model Assessment ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Insulin Resistant ◽  
Significant Difference

Background Obesity is a global problem. Even in poor and developing countries, obesity has reached alarming levels. In childhood, obesity may lead to insulin resistance. Retinol binding protein (RBP4), secreted primarily by liver and adipose tissues, was recently proposed as a link between obesity and insulin resistance. The role of RBP4 in pediatric obesity and its relationship with insulin resistance have not been well elucidated.Objective To compare RBP4 levels in obese and lean adolescents and to assess for a relationship between RBP4 levels and insulin resistance. Method This cross-sectional study was conducted in three senior high schools in Padang, West Sumatera, Indonesia. Subjects were adolescents aged 14-18 years, who were obese or normal weight (n=56). We measured subjects’ body mass index (BMI) and serum RBP4 concentrations. Insulin resistance was assessed using the homeostasis model assessment of insulin resistance (HOMA-IR) index.Results Similar RBP4 levels were found in the obese and normoweight groups (P>0.05). Higher RBP4 levels were found in the insulin resistant compared to the non-insulin resistant group, but the difference was not significant (P > 0.05).Conclusion There is no significant difference in mean RBP4 levels in obese adolescents compared to normoweight adolescents. Nor are mean RBP4 levels significantly different between obese adolescents with and without insulin resistance.  

scholarly journals Myoinositol and D-Chiro Inositol in Improving Insulin Resistance in Obese Male Children: Preliminary Data

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Mario Mancini ◽  
Alice Andreassi ◽  
Michela Salvioni ◽  
Fiore Pelliccione ◽  
Gianna Mantellassi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Basal Insulin ◽  
Polycystic Ovary ◽  
Insulin Level ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Insulin Resistant ◽  
Insulin Mimetic ◽  
Glucose Intake ◽  
Improve Insulin Resistance

Myoinositol and D-chiro inositol, which are inositol isomers, have been shown to possess insulin-mimetic properties and to improve insulin resistance, especially in women with polycystic ovary syndrome. However, it has not been determined if this relationship exists also in children. Based on these previous findings, we hypothesized that inositol could be effective in improving insulin sensitivity in children with insulin resistance. To evaluate this hypothesis, we administered both inositol formulations before carrying out an oral glucose tolerance test (OGTT) in a group of obese insulin-resistant male children with high basal insulin levels and compared the values obtained with an OGTT previously conducted without inositol, in the same group, with unchanged BMI. Our results confirm that myoinositol and D-chiro inositol acutely reduce insulin increase after glucose intake mainly in children with high basal insulin level.

scholarly journals Vitamin D status is not related to insulin resistance in different phenotypes of moderate obesity

2017 ◽  
Vol 42 (4) ◽  
pp. 438-442 ◽  
Author(s):  
Manal Al Masri ◽  
Ahmed Jerome Romain ◽  
Catherine Boegner ◽  
Laurent Maimoun ◽  
Denis Mariano-Goulart ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Vitamin D ◽  
Plasma Lipids ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Vitamin D Status ◽  
Cross Sectional ◽  
Insulin Resistant ◽  
Metabolically Healthy Obese ◽  
N 93

Low plasma 25-hydroxy-vitamin D (25OHD) and high levels of parathyroid hormone (PTH) are associated with obesity and could play a role in the occurrence of complications such as insulin resistance. The objective of the study was to evaluate whether the relationship between 25OHD status and phosphocalcic parameters differs between metabolically healthy obese (MHO) and insulin-resistant obese (IRO). This cross-sectional study included 158 consecutive adults (121 females) with obesity (body mass index (BMI) 35.15 ± 2.8 kg/m2), aged 43.21 ± 13.6 years. Serum 25OHD, calcemia, phosphatemia, PTH, plasma lipids, fasting plasma glucose, insulin levels, and body composition were measured. Participants were classified as MHO (n = 65) or IRO (n = 93) based on homeostatic model assessment insulin-resistance value. IRO patients had a higher BMI (p = 0.001), waist circumference (p = 0.03), and trunk fat mass (p = 0.007) than MHO patients. Mean HbA1c (p = 0.03), triglycerides (p = 0.02), and hsCRP (p = 0.04) plasmatic levels were increased in the IRO group. No between-group difference was found on 25OHD, PTH, calcium, or phosphorus plasmatic levels. Only age-predicted 25OHD levels were identified among IRO participants, whereas no factors were identified in MHO. No predictive factors of PTH plasmatic level were identified in the IRO and MHO groups. Although MHO and IRO patients have different metabolic profiles, we did not detect any difference regarding either 25OHD or PTH. Insulin resistance was not a predictive factor of vitamin D status. Our results confirm the absence of link between vitamin D status and insulin resistance in moderate obesity.

scholarly journals Serum Asprosin Level in Different Subtypes of Polycystic Ovary Syndrome: A Cross-sectional Study

2020 ◽  
Author(s):  
yonghui jiang ◽  
yue liu ◽  
zhiheng yu ◽  
ping yang ◽  
lei xie ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Laboratory Data ◽  
Control Group ◽  
Model Assessment ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Significant Difference ◽  
Pcos Group

Abstract Objective Polycystic ovary syndrome (PCOS) can be divided into different subtypes, including insulin resistance (IR) and hyperandrogenism (HA). Asprosin is a novel hormone associated with IR; however, the role of asprosin in women with PCOS has not been investigated. Thus, the aim of this study was to investigate the relationship between serum asprosin levels and PCOS subtypes. Methods Ninety-three women with PCOS and 77 healthy women as controls were selected for this study. Clinical and laboratory data were compared between the PCOS group and the control group. The PCOS group was further divided into subgroups: 1) women with or without HA (PCOS HA and PCOS NHA, respectively); 2) women with or without IR (PCOS IR and PCOS NIR, respectively). Serum asprosin was measured by ELISA. Results Serum asprosin levels showed no significant difference between the PCOS and control groups. However, it was significantly lower in the PCOS HA and IR groups compared to the respective PCOS NHA and NIR groups (P < .05). In the PCOS group, serum asprosin was negatively correlated with body mass index, luteinizing hormone, testosterone, basal antral follicles, fasting insulin, Homeostatic Model Assessment of Insulin Resistance, and triglycerides. After adjusting for BMI, the correlations were not significant and asprosin was only positively correlated with prolactin (r = 0.426, P < .001). Conclusions Our study shows that women with PCOS HA or IR exhibit significantly lower serum asprosin levels compared to controls, and the lower asprosin level directly correlated with PRL level.

scholarly journals Indexes of Insulin Resistance in Hyperinsulinemic Polycystic Ovary Syndrome in a Macedonian Cohort of Women of Reproductive Age: A Cross-Sectional Study

2016 ◽  
Vol 4 (4) ◽  
pp. 607-612
Author(s):  
Sasha Jovanovska-Mishevska ◽  
Aleksandra Atanasova-Boshku ◽  
Iskra Bitoska ◽  
Irfan Ahmeti ◽  
Biljana Todorova ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Control Group ◽  
Oral Glucose ◽  
Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional

BACKGROUND: Polycystic ovary syndrome (PCOS) is complex hormonal, metabolic and reproductive disorder and is a leading cause of female infertility. Hyperinsulinemia secondary to insulin resistance plays important role in the pathogenesis of PCOS.AIM: To assess the sensitivity of different indices of insulin resistance and their relevance in a clinical setting.MATERIAL AND METHODS: A cross-sectional study of 43 patients with PCOS and 29 noromo ovulatory women as a control group was conducted. Standard clinical, anthropometrical and hormonal testing for hyperandrogenism was conducted, as well as oral glucose tolerance test with determination of basal and stimulated glucose and insulin values.RESULTS: The dynamic I/G index showed the highest sensitivity and specificity, but the static indexes HOMA-IR and QUICKI, although based on only basal glycemic and insulinemic values, showed good sensitivity, 90.38% and 94.01% respectively. HOMA-IR showed significant positive correlation with the stimulated insulin values.CONCLUSIONS: Our results support the use of static indexes in the evaluation of insulin resistance in women with PCOS in a clinical setting, offering a simple assessment of insulin resistance in PCOS, which holds great prognostic and treatment implications.

Investigating the relationship between insulin resistance and adipose tissue in a randomized Tehrani population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Body Fat ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Body Fat Percent ◽  
The Relationship

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.

scholarly journals Inverse association between soya food consumption and insulin resistance in Japanese adults

2014 ◽  
Vol 18 (11) ◽  
pp. 2031-2040 ◽  
Author(s):  
Mariko Nakamoto ◽  
Hirokazu Uemura ◽  
Tohru Sakai ◽  
Sakurako Katsuura-Kamano ◽  
Miwa Yamaguchi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Rural Communities ◽  
Food Consumption ◽  
Dose Response ◽  
Cross Sectional Study ◽  
Soya Protein ◽  
Model Assessment ◽  
Inverse Association ◽  
Cross Sectional ◽  
Soya Product

AbstractObjectiveThe purpose of the present study was to examine the association between soya food consumption and insulin resistance using baseline data of the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study in Tokushima, Japan.DesignThis cross-sectional study included 1274 subjects, aged 34–70 years at baseline, living in Tokushima Prefecture between 2008 and 2013. Fasting blood samples were collected and information on lifestyle characteristics including soya food intake and medical history were obtained using a structured self-administered questionnaire. The homeostasis model assessment of insulin resistance (HOMA-IR) was measured and those with HOMA-IR≥2·5 were defined as having insulin resistance. Multiple logistic regression models were used to analyse the association between soya product intake and the prevalence of insulin resistance.SettingRural communities located in Tokushima Prefecture, Japan, between 2008 and 2013.SubjectsA total of 1148 adults (565 men and 583 women), aged 34–70 years.ResultsThe frequency of intake of miso soup, total non-fried soya products and total soya products showed significant inverse dose–response relationships with insulin resistance, after adjustments for potential confounders. When soya product intake was calculated as soya protein and isoflavone, the odds ratios of insulin resistance decreased significantly as the estimated intake of soya protein increased. Furthermore, significant inverse dose–response relationships were observed for total non-fried soya products and total soya products, after adjustment for total vegetable or total fibre consumption.ConclusionsThe present results indicate that the intake of soya products and non-fried soya products is associated with reduced insulin resistance in the Japanese population.

scholarly journals Interleukin-6 and insulin resistance in obese adolescents

2016 ◽  
Vol 53 (5) ◽  
pp. 268
Author(s):  
Raynald Takumansang ◽  
Sarah M. Warouw ◽  
Hesti Lestari
Keyword(s):  
Insulin Resistance ◽  
Interleukin 6 ◽  
Cross Sectional Study ◽  
Normal Body Mass Index ◽  
Model Assessment ◽  
Tissue Mass ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Glucose Levels ◽  
The Mean

Background Obesity has become a rapidly growing epidemic worldwide, increasing the risk of morbidity and mortality in adolescents. Obesity is due to an expansion of adipose tissue mass, which is an important source of cytokines and contributes to an increase in pro-inflammatory cytokines, such as interleukin-6 (IL-6). Interleukin-6 is significantly increased in obesity and may lead to a state of insulin resistance.Objective To assess for a correlation between IL-6 levels and insulin resistance in obese adolescentsMethods We conducted a cross-sectional study from January to April 2012 in Manado, North Sulawesi. Subjects were either obese or normal body mass index (BMI) teens aged 13-18 years. Data collected were anthropometric status, BMI, and blood specimens for fasting plasma glucose levels, fasting insulin levels, and IL-6 levels. Insulin resistance was expressed as homeostatic model assessment of insulin resistance (HOMA-IR) level >2.77. Data was analyzed by Pearson’s correlation and linear regression tests to assess for a possible correlation between IL-6 levels and insulin resistance.Results The mean BMI in the obese group was 31.21 (SD 3.61) kg/m2 while the mean BMI in the normal group was 19.52 (SD 2.38) kg/m2. There was no significant association between IL-6 and the occurrence of insulin resistance (P=0.309). The log regression coefficient value of IL-6 was negative (b = -0.329).Conclusion There is no correlation between IL-6 levels and incidence of insulin resistance in obese adolescents.

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