scholarly journals Relationship between Birth Weight and Metabolic Status in Obese Adolescents

ISRN Obesity ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
David J. Hill ◽  
Harry Prapavessis ◽  
J. Kevin Shoemaker ◽  
Michelle Jackman ◽  
Farid H. Mahmud ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Birth Weight ◽  
Body Mass ◽  
Body Fat ◽  
Percent Body Fat ◽  
Model Assessment ◽  
Obese Adolescents ◽  
Peripheral Arterial

Objective. To examine the relationships between birth weight and body mass index, percent body fat, blood lipids, glycemia, insulin resistance, adipokines, blood pressure, and endothelial function in a cohort of obese adolescents. Design and Methods. Ninety-five subjects aged 10–16 years (mean age 13.5 years) with a body mass index >95th centile (mean [±SEM] 33.0 ± 0.6) were utilized from two prospective studies for obesity prevention prior to any interventions. The mean term birth weight was 3527 ± 64 g (range 1899–4990 g;). Results. Body mass index z-score correlated positively with birth weight (r2=0.05, P=0.03), but not percent body fat. Insulin resistance negatively correlated with birth weight (r2=0.05, P<0.001), as did fasting plasma insulin (r2=0.05, P<0.001); both being significantly greater for subjects of small versus large birth weight (Δ Homeostasis Model Assessment = 2.5 and Δ insulin = 10 pmol/L for birth weight <2.5 kg versus >4.5 kg). Adiponectin, but not leptin, blood pressure z-scores or peripheral arterial tomography values positively correlated with birth weight (r2=0.07, P=0.008). Conclusions. Excess body mass index in obese adolescents was positively related to birth weight. Birth weight was not associated with cardiovascular risk factors but represented a significant determinant of insulin resistance.

scholarly journals Associations between maternal anthropometric characteristics and infant birth weight in Iranian population

2016 ◽  
Vol 4 ◽  
pp. 205031211664669 ◽  
Author(s):  
Sormeh Nourbakhsh ◽  
Sepideh Ashrafzadeh ◽  
Ali Hafizi ◽  
Ali Naseh
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Birth Weight ◽  
Body Mass ◽  
Gestational Age ◽  
Serum Insulin ◽  
Maternal Body Mass Index ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

Objective: To examine the (1) normal ranges of anthropometric and insulin resistance/sensitivity indices (homeostatic model assessment for insulin resistance, homeostatic model assessment for insulin sensitivity, and quantitative insulin sensitivity check index) for Iranian pregnant women and their newborns and (2) associations between maternal anthropometric and metabolic values and infants’ birth weights among Iranian women. Methods: Anthropometric and metabolic values of 163 singleton non-diabetic pregnant women in Tehran, Iran (2014) were collected before and during pregnancy and at delivery. Linear regression, multivariable regression, and Student t tests were used to evaluate correlations between birth weight and maternal variables. Results: Linear regression modeling suggested that maternal serum glucose ( p = 0.2777) and age ( p = 0.6752) were not associated with birth weight. Meanwhile, maternal weight and body mass index before pregnancy ( p = 0.0006 and 0.0204, respectively), weight at delivery ( p = 0.0036), maternal height ( p = 0.0118), and gestational age ( p  = 0.0016) were positively associated with birth weight, while serum insulin ( p = 0.0300) and homeostatic model assessment for insulin resistance ( p = 0.0334) were negatively associated with infant’s birth weight. Using multivariate modeling, we identified severalconfounders: parity (multipara mothers delivered heavier babies compared to first-time mothers) explained as much as 24% of variation in birth weight ( p = 0.005), maternal height explained 20.7% ( p = 0.014), gestational age accounted for 19.7% ( p = 0.027), and maternal body mass index explained 19.1% ( p = 0.023) of the variation in the infant’s birth weight. Maternal serum insulin and infant’s sex were not observed to be associated with birth weight ( p = 0.342 and 0.669, respectively) in the overall model. Conclusion: Overweight/obese women may experience higher incidence of delivering larger babies. Multivariable regression analyses showed that maternal body mass index and height, parity, and gestational age are associated with newborn’s birth weight.

scholarly journals Body trunk fat and insulin resistance in post-pubertal obese adolescents

2008 ◽  
Vol 126 (2) ◽  
pp. 82-86 ◽  
Author(s):  
Luana Caroline dos Santos ◽  
Isa de Pádua Cintra ◽  
Mauro Fisberg ◽  
Lígia Araújo Martini
Keyword(s):  
Insulin Resistance ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Disease Risk ◽  
The Body ◽  
Model Assessment ◽  
Linear Regression Models ◽  
Obese Adolescents ◽  
Dietary Record

CONTEXT AND OBJECTIVE: Insulin resistance is a metabolic disorder commonly associated with excess body fat accumulation that may increase chronic disease risk. The present study was undertaken to evaluate the relationship between body composition and insulin resistance among obese adolescents. DESIGN AND SETTING: Cross-sectional study, at the Adolescence Center, Pediatric Department, Universidade Federal de São Paulo. METHODS: Body composition was assessed using dual-energy X-ray absorptiometry. Dietary intake was evaluated using a three-day dietary record. The biochemical evaluation comprised glucose, insulin, serum lipid, leptin and ghrelin measurements. Insulin resistance was calculated by means of the homeostasis model assessment of insulin resistance (HOMA-IR). RESULTS: Forty-nine post-pubertal obese adolescents participated in the study: 12 boys and 37 girls of mean age 16.6 (1.4) years and mean body mass index (BMI) of 35.0 (3.9) kg/m². The mean glucose, insulin and HOMA values were 90.3 (6.4) mg/dl, 16.6 (8.1) µIU/ml and 3.7 (1.9), respectively. Hyperinsulinemia and insulin resistance were observed in 40.2% and 57.1% of the subjects, respectively. Adolescents with insulin resistance had higher BMI and body trunk fat. There was a trend towards higher leptin concentration in obese individuals with insulin resistance. Insulin resistance was positively correlated with body trunk fat, BMI, body fat mass (kg), leptin and body fat percentage. Furthermore, there was a negative correlation between HOMA-IR and lean body mass. The body composition predicted 30% of the HOMA-IR levels, according to linear regression models. CONCLUSION: Body trunk fat was significantly associated with insulin resistance, demonstrating the clinical importance of abdominal obesity during adolescence.

Limitations of body mass index for counseling individuals with unilateral lower extremity amputation

2016 ◽  
Vol 41 (2) ◽  
pp. 186-193 ◽  
Author(s):  
Alexandra P Frost ◽  
Tracy Norman Giest ◽  
Allison A Ruta ◽  
Teresa K Snow ◽  
Mindy Millard-Stafford
Keyword(s):  
Body Mass Index ◽  
Lower Extremity ◽  
Health Risk ◽  
Body Mass ◽  
Body Fat ◽  
Lower Limb ◽  
Dual Energy ◽  
Limb Loss ◽  
Percent Body Fat ◽  
X Ray

Background: Body composition is important for health screening, but appropriate methods for unilateral lower extremity amputees have not been validated. Objectives: To compare body mass index adjusted using Amputee Coalition equations (body mass index–Amputee Coalition) to dual-energy X-ray absorptiometry in unilateral lower limb amputees. Study design: Cross-sectional, experimental. Methods: Thirty-eight men and women with lower limb amputations (transfemoral, transtibial, hip disarticulation, Symes) participated. Body mass index (mass/height2) was compared to body mass index corrected for limb loss (body mass index–Amputee Coalition). Accuracy of classification and extrapolation of percent body fat with body mass index was compared to dual-energy X-ray absorptiometry. Results: Body mass index–Amputee Coalition increased body mass index (by ~ 1.1 kg/m2) but underestimated and mis-classified 60% of obese and overestimated 100% of lean individuals according to dual-energy X-ray absorptiometry. Estimated mean percent body fat (95% confidence interval) from body mass index–Amputee Coalition (28.3% (24.9%, 31.7%)) was similar to dual-energy X-ray absorptiometry percent body fat (29.5% (25.2%, 33.7%)) but both were significantly higher ( p < 0.05) than percent body fat estimated from uncorrected body mass index (23.6% (20.4%, 26.8%)). However, total errors for body mass index and body mass index–Amputee Coalition converted to percent body fat were unacceptably large (standard error of the estimate = 6.8%, 6.2% body fat) and the discrepancy between both methods and dual-energy X-ray absorptiometry was inversely related ( r = −0.59 and r = −0.66, p < 0.05) to the individual’s level of body fatness. Conclusions: Body mass index (despite correction) underestimates health risk for obese patients and overestimates lean, muscular individuals with lower limb amputation. Clinical relevance Clinical recommendations for an ideal body mass based on body mass index–Amputee Coalition should not be relied upon in lower extremity amputees. This is of particular concern for obese lower extremity amputees whose health risk might be significantly underestimated based on body mass index despite a “correction” formula for limb loss.

scholarly journals The effects of metformin plus sulfonylurea therapy on clinical features of the metabolic syndrome

2010 ◽  
Vol 63 (9-10) ◽  
pp. 611-615 ◽  
Author(s):  
Branka Koprivica ◽  
Teodora Beljic-Zivkovic ◽  
Tatjana Ille
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Glycemic Control ◽  
Body Mass ◽  
Combined Therapy

Introduction. Insulin resistance is a well-known leading factor in the development of metabolic syndrome. The aim of this study was to evaluate metabolic effects of metformin added to sulfonylurea in unsuccessfully treated type 2 diabetic patients with metabolic syndrome. Material and methods. A group of thirty subjects, with type 2 diabetes, secondary sulfonylurea failure and metabolic syndrome were administered the combined therapy of sulfonylurea plus metformin for six months. Metformin 2000 mg/d was added to previously used sulfonylurea agent in maximum daily dose. Antihypertensive and hypolipemic therapy was not changed. The following parameters were assessed at the beginning and after six months of therapy: glycemic control, body mass index, waist circumference, blood pressure, triglycerides, total cholesterol and its fractions, homeostatic models for evaluation of insulin resistance and secretion (HOMA R, HOMA B) and C- peptide. Results. Glycemic control was significantly improved after six months of the combined therapy: (fasting 7.89 vs. 10.61 mmol/l. p<0.01; postprandial 11.12 vs. 12.61 mmol/l. p<0.01, p<0.01; glycosylated hemoglobin 6.81 vs. 8.83%. p<0.01). the body mass index and waist circumference were significantly lower (26.7 vs. 27.8 kg/m2, p<0.01 and 99.7 vs. 101.4 cm for men, p<0.01; 87.2 vs. 88.5 for women, p<0.01). Fasting plasma triglycerides decreased from 3.37 to 2.45 mmol/l (p<0.001) and HOMA R from 7.04 to 5.23 (p<0.001). No treatment effects were observed on blood pressure, cholesterol, and residual insulin secretion. Conclusion. Administration of metformin in type 2 diabetes with metabolic syndrome decreased cardiovascular risk factors by reducing glycemia, triglycerides, BMI, central obesity and insulin resistance.

scholarly journals Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentage in middle-aged and elderly Taiwanese

Medicine ◽  
2017 ◽  
Vol 96 (39) ◽  
pp. e8126 ◽  
Author(s):  
Yiu-Hua Cheng ◽  
Yu-Chung Tsao ◽  
I-Shiang Tzeng ◽  
Hai-Hua Chuang ◽  
Wen-Cheng Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Middle Aged ◽  
Fat Percentage ◽  
Total Body Fat ◽  
Total Body

scholarly journals Circulating Irisin in Relation to Insulin Resistance and the Metabolic Syndrome

2013 ◽  
Vol 98 (12) ◽  
pp. 4899-4907 ◽  
Author(s):  
Kyung Hee Park ◽  
Lesya Zaichenko ◽  
Mary Brinkoetter ◽  
Bindiya Thakkar ◽  
Ayse Sahin-Efe ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cvd Risk ◽  
Baseline Serum ◽  
The Metabolic Syndrome ◽  
Increased Risk

Context: Irisin, a recently identified hormone, has been proposed to regulate energy homeostasis and obesity in mice. Whether irisin levels are associated with risk of the metabolic syndrome (MetS), cardiometabolic variables, and cardiovascular disease (CVD) risk in humans remains unknown. Objective: Our objective was to assess the associations between baseline serum irisin levels and MetS, cardiometabolic variables, and CVD risk. Design, Setting, and Subjects: We conducted a comparative cross-sectional evaluation of baseline circulating levels of the novel hormone irisin and the established adipokine adiponectin with MetS, cardiometabolic variables, and CVD risk in a sample of 151 subjects. Results: Baseline irisin levels were significantly higher in subjects with MetS than in subjects without MetS. Irisin was associated negatively with adiponectin (r = −0.4, P &lt; .001) and positively with body mass index (r = 0.22, P = .008), systolic (r = 0.17, P = .04) and diastolic (r = 0.27, P = .001) blood pressure, fasting glucose (r = 0.25, P = .002), triglycerides (r = 0.25, P = .003), and homeostasis model assessment for insulin resistance (r = 0.33, P &lt; .001). After adjustment for potential confounders, including body mass index, subjects in the highest tertile of irisin levels were more likely to have MetS (odds ratio [OR] = 9.44, 95% confidence interval [CI] = 2.66–33.44), elevated fasting blood glucose (OR = 5.80, 95% CI = 1.72–19.60), high triglycerides (OR = 3.89, 95% CI = 1.16–13.03), and low high-density lipoprotein cholesterol (OR = 3.30, 95% CI = 1.18–9.20). Irisin was independently associated with homeostasis model assessment for insulin resistance and general Framingham risk profile in multiple linear regression analyses after adjustment for confounders. Adiponectin demonstrated the expected associations with outcomes. Conclusions: Irisin is associated with increased risk of MetS, cardiometabolic variables, and CVD in humans, indicating either increased secretion by adipose/muscle tissue and/or a compensatory increase of irisin to overcome an underlying irisin resistance in these subjects.

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