Effects of Body Composition, Leptin, and Adiponectin on Bone Mineral Density in Prepubertal Girls

Body weight is positively associated with bone mineral density but the relationship between obesity and bone mineral density is unclear. Leptin and adiponectin are potential independent contributors to bone mineral density. We assessed the correlations of body composition, leptin and adiponectin with bone mineral density, and whether leptin, adiponectin and body composition determine bone mineral density independently in prepubertal girls. Forty-eight prepubertal girls were classified into obese and control groups by body mass index. Serum leptin and adiponectin levels were determined by enzyme immunoassay. Bone mineral density was measured using dual energy radiography absorptiometry and body composition was measured using bioelectrical impedance analysis. Lean and fat mass, and leptin were positively correlated with bone mineral density. Lean mass was a positive independent predictor of femoral and L-spine bone mineral density. Serum leptin was a postivie independent predictor of femoral bone mineral density. Fat mass was a negative independent predictor of femoral bone mineral density. In prepubertal girls, lean mass has a favorable effect on bone mineral density. Fat mass seems not to protect the bone structure against osteoporosis, despite increased mechanical loading. Serum leptin may play a biological role in regulating bone metabolism.     

多囊卵巢综合征高雄激素血症患者瘦素水平的检测及评价

目的探讨多囊卵巢综合征高雄激素血症进行患者瘦素(Leptin)水平及其与睾酮(T)、体重指数(BMI)的关系.方法采用放射免疫分析法(RIA)检测53例PCOS患者血清瘦素水平,其中非肥胖组PCOS患者36例,正常对照30例;肥胖组PCOS患者17例,正常对照20例.结果肥胖组及非肥胖组PCOS高雄激素血症患者血清瘦素水平均明显高于相当体重指数的正常对照组,有显著差异(p均＜0.01);两组瘦素水平分别与其睾酮水平进行相关性分析,均显著正相关(r=0.51,p＜0.01和r=0.58,p＜0.01);非肥胖组PCOS患者血清瘦素水平与其BMI相关分析显示,无相关性;肥胖组PCOS患者血清瘦素水平与其BMI进行相关分析,显著正相关(p=0.56,p＜0.01).结论高瘦素血症是PCOS患者的内分泌特征之一,PCOS高雄激素血症的形成与高瘦素水平有关;超重或肥胖的PCOS高雄激素血症患者存在瘦素抵抗现象.     

Comparison of leptin protein levels in Prader-Willi syndrome and control individuals

Prader-Willi syndrome (PWS) is characterized by early childhood obesity, mental deficiency, hypogonadism, hypotonia, hypopigmentation, short stature, small hands and feet, and a characteristic face. It is the most common genetic cause of obesity and obesity is the most significant health problem for PWS patients. Ob protein (leptin), which is produced by adipose tissue, is thought to play a significant role in obesity; thus, unusually low plasma leptin levels, or relative loss of sensitivity to leptin in PWS subjects, could be an important factor in their obesity. We measured plasma leptin levels in 19 obese and 14 non-obese PWS patients [mean body mass index (BMI) 37.2 and 22.0, respectively] and compared these levels to those of 28 obese controls (mean BMI 35.5) and 16 non-obese control individuals (mean BMI 21.6). The mean plasma leptin concentration (ng/ml) for obese PWS subjects was 33.4 and 23.6 for non-obese PWS subjects. Obese control leptin was 36.2 ng/ml and non-obese control was 9.9. Among the control groups, leptin levels in females were significantly higher than those in males; the obese males and females had significantly higher leptin than their respective non-obese counterparts. These differences did not hold true for the PWS subjects. Leptin levels in obese PWS males and females were similar, and the same was true of the non-obese PWS males and females. The differences between obese and non-obese PWS subjects of both sexes were small and not significant. Comparing control groups with their PWS counterparts revealed no significant differences, with one exception: circulating plasma leptin levels in non-obese PWS males were nearly five times higher than in non-obese control males with similar BMI. This difference may reflect a more female pattern of fat distribution and hypogonadism, which are characteristic of PWS males. Leptin levels in PWS patients were not obviously correlated with the chromosome 15 finding seen in the patients. Am. J. Med. Genet. 75:7–12, 1998. © 1998 Wiley-Liss, Inc.     

Role of Adipokines and Hormones of Obesity in Childhood Asthma

Purpose

The aim of this study was to evaluate serum levels of leptin, ghrelin, and adiponectin in obese and non-obese children with asthma and in healthy non-asthmatic children, and analyze their relationships with clinical outcomes.

Methods

This study enrolled 40 obese and 51 non-obese children with asthma and 20 healthy children. Body mass index and serum leptin, ghrelin, and adiponectin levels were determined in all children. Asthma symptom scores and lung function test results were recorded for subjects with asthma.

Results

Serum leptin levels (11.8±7.9, 5.3±6.8, and 2.1±2.4 ng/mL in the obese asthmatic, non-obese asthmatic, and control groups, respectively) and adiponectin levels (12,586.2±3,724.1; 18,089.3±6,452.3; and 20,297.5±3,680.7 ng/mL, respectively) differed significantly among the groups (P<0.001 for all). Mean ghrelin levels were 196.1±96.8 and 311.9±352.8 pg/mL in the obese and non-obese asthmatic groups, respectively, and 348.8±146.4 pg/mL in the control group (P=0.001). The asthma symptom score was significantly higher in the obese children with asthma than in the non-obese children with asthma (P<0.001). Leptin and adiponectin levels were correlated with the asthma symptom score in non-obese children with asthma (r=0.34 and r=-0.62, respectively).

Conclusions

Obesity leads to more severe asthma symptoms in children. Moreover, leptin, adiponectin, and ghrelin may play important roles in the inflammatory pathogenesis of asthma and obesity co-morbidity.     

Adipocytokine Levels in Obese and Non-obese Subjects: an Observational Study

We evaluated the levels of some inflammatory adipocytokines in 363 obese and 365 non-obese subjects. We measured: body mass index (BMI), waist circumference (WC), fasting plasma glucose, fasting plasma insulin (FPI), homeostasis model assessment (HOMA) index, blood pressure, lipid profile, retinol binding protein-4 (RBP-4), vaspin, omentin-1, leptin, interleukin-6 (IL-6), visfatin, resistin, adiponectin (ADN), adipsin, tumor necrosis factor-α (TNF-α), and high sensitivity C-reactive protein (Hs-CRP). We observed higher BMI, WC, FPI, HOMA index, TC, LDL-C, RBP-4, leptin, IL-6, adipsin, Hs-CRP, vaspin, resistin and TNF-α levels, and lower visfatin, and ADN levels in obese compared to non-obese subjects. Higher WC correlated with lower ADN and visfatin levels, and higher vaspin levels. Higher HOMA index correlated with higher resistin, adipsin, RBP-4, and leptin concentrations, while higher leptin levels correlated with higher TNF-α, Hs-CRP, and IL-6 concentration, and lower ADN values. We confirmed obese subjects’ predisposition to develop dysmetabolic disease and hormonal dysfunctions.     

Is there a role for leptin in the endocrine and metabolic aberrations of polycystic ovary syndrome?

Immunoreactive serum leptin was analysed in 49 women with polycystic ovary syndrome (PCOS) distributed on a wide range of body mass index (BMI; kg/m2) and in 32 normally menstruating women with comparable age, BMI, physical activity and dietary habits. All women with PCOS had increased androgen concentrations and obese women with PCOS (BMI > or = 25, n=24) also showed decreased insulin sensitivity and a preferential accumulation of truncal-abdominal body fat. Anthropometric and hormonal variables, insulin sensitivity, and pancreatic beta-cell activity were investigated in all women. Percentage body fat was calculated using gender-specific regression equations based on skinfold measurements. Serum leptin concentrations were higher in obese than in non-obese women (P < 0.001), but did not differ between the women with PCOS and controls, nor did they differ between glucose intolerant and glucose tolerant, or hirsute and non-hirsute women with PCOS. Both groups showed strong correlations between serum leptin concentrations and percentage body fat, BMI, body fat distribution, fasting plasma insulin and C-peptide, early insulin secretion, the free androgen index (FAI), and the degree of insulin resistance. After correcting for percentage body fat, only the FAI in the women with PCOS remained significant (P < 0.05). However, in a multiple regression analysis with both percentage body fat and the FAI as independent variables, the FAI increased only minimally (2%) the explained variation in leptin concentrations. Thus, serum leptin concentrations are almost exclusively determined by the total amount of body fat, independent of its location, and do not confirm the hypothesis that leptin is involved in the development of the hormonal and metabolic abnormalities in the PCOS.      

Plasma adipokine and inflammatory marker concentrations are altered in obese, as opposed to non-obese, type 2 diabetes patients

Elevated plasma free fatty acid (FFA), inflammatory marker, and altered adipokine concentrations have been observed in obese type 2 diabetes patients. It remains unclear whether these altered plasma concentrations are related to the diabetic state or presence of obesity. In this cross-sectional observational study, we compare basal plasma FFA, inflammatory marker, and adipokine concentrations between obese and non-obese type 2 diabetes patients and healthy, non-obese controls. A total of 20 healthy, normoglycemic males (BMI <30 kg/m²), 20 non-obese (BMI <30 kg/m²) and 20 obese (BMI >35 kg/m²) type 2 diabetes patients were selected to participate in this study. Groups were matched for age and habitual physical activity level. Body composition, glycemic control, and exercise performance capacity were assessed. Basal blood samples were collected to determine plasma leptin, adiponectin, resistin, tumor necrosis factor α (TNFα), interleukin-6 (IL-6), high-sensitivity C-reactive protein (hsCRP) and FFA concentrations. Plasma FFA, inflammatory marker (hsCRP, IL-6, TNFα), adipokine (adiponectin, resistin, leptin), and triglyceride concentrations did not differ between non-obese diabetes patients and healthy, normoglycemic controls. Plasma FFA, IL-6, hsCRP, leptin, and triglyceride levels were significantly higher in the obese diabetes patients when compared with the healthy normoglycemic controls (P < 0.05). Furthermore, plasma hsCRP and leptin levels were significantly higher in the obese versus non-obese diabetes patients (P < 0.05). Significant correlations between plasma parameters and glycemic control were observed, but disappeared after adjusting for trunk adipose tissue mass. Elevated plasma leptin, hsCRP, IL-6, and FFA concentrations are associated with obesity and not necessarily with the type 2 diabetic state.     

Independent associations of body-size adjusted fat mass and fat-free mass with the metabolic syndrome in Chinese

Background: Excess fat leads to adverse health outcomes. Most previous studies investigating body fatness using BMI or fat percentage, which contain both fat mass and fat-free mass, were not able to differentiate the exposure.

Aim: The present study assessed the independent association of fat and fat-free mass with metabolic syndrome (MetS) in Chinese.

Subjects and methods: A population-based study of 1144 subjects aged 50–70 from urban and rural areas of Shanghai in 2005–2006 was employed. Body composition was measured with DEXA. Fat mass index (FMI) and fat-free mass index (FFMI) were calculated. MetS was defined using the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria without waist circumference for its high correlation with body composition.

Results: Both FMI and FFMI were significantly related with higher odds of MetS (OR 3.97, 95% CI 2.58–6.09 for FMI; OR 2.67, 95% CI 1.70–4.18 for FFMI, the highest quartile vs the lowest group) after adjusting for age, residence, sex, smoking, drinking, physical activity, medication, family history of chronic diseases, and fat-free mass (for FMI) or fat mass (for FFMI).

Conclusion: Both FMI and FFMI are independently associated with increased MetS risks. Proper expression of body composition is essential in assessing body composition and disease risk association.     

Relationship between Birth Weight,Early Growth Rate,and Body Composition in 5- to 7-Year-Old Children

BackgroundPrograming of body composition during intrauterine growth may contribute to the higher risk for cardio-metabolic disease in individuals born small or large for gestational age (SGA, LGA). Compensations of intrauterine growth by catch-up or catch-down postnatal growth may lead to adverse consequences like a thin-fat phenotype.MethodsThe impact of (i) birth weight as well as (ii) the interaction between birth weight and catch-up or catch-down growth during the first 2 years of life on fat-free mass index (FFMI) and fat mass index (FMI) in 3,204 5–7-year-old children were investigated using Hattori''s body composition chart. Body composition results were compared to appropriate for gestational age (AGA) birth weight with the same body mass index (BMI).ResultsIn total, 299 children at age 5–7 years were categorized as SGA, 2,583 as AGA, and 322 as LGA. When compared to AGA-children, BMI at 5–7 years of age was higher in LGA-children (15.5 vs. 16.2 kg/m²; p < 0.001) but not different in SGA-children. Compared to AGA with the same BMI, LGA was associated with higher FMI and a lower FFMI in 5–7-year-old girls. This phenotype was also seen for both sexes with catch-down growth during the first 2 years of life whereas catch-up growth prevented the higher FMI and lower FFMI per BMI. By contrast, SGA was associated with a higher FFMI and lower FMI in 5–7-year-old boys compared to AGA boys with the same BMI. This phenotype was also seen with catch-down growth in both genders whereas catch-up growth in girls led to more gain in FMI per BMI.ConclusionLGA with a compensatory catch-down postnatal growth may be a risk factor for the development of disproportionate gain in fat over lean mass whereas SGA with a catch-down postnatal growth seems to favor the subsequent accretion of lean over fat mass. A higher propensity of lean mass accretion during postnatal growth in boys compared to girls explains sex differences in these phenotypes.     

Body Composition Characteristics of a Load-Capacity Model: Age-Dependent and Sex-Specific Percentiles in 5- to 17-Year-Old Children

IntroductionBody composition assessment is superior to the use of body mass index (BMI) to characterize the nutritional status in pediatric populations. For data interpretation, suitable reference data are needed; hence, we aimed to generate age-dependent and sex-specific body composition reference data in a larger population of children and adolescents in Germany.MethodsThis is a cross-sectional study on a representative group of 15,392 5- to 17-year-old children and adolescents. Body composition was assessed by bioelectrical impedance analysis using a population-specific algorithm validated against air displacement plethysmography. Age- and sex-specific percentiles for BMI, fat mass index (FMI), fat-free mass index (FFMI), and a “load-capacity model” (characterized by the ratios of fat mass [FM]/ fatt-free mass [FFM] and FM/FFM²) were modeled using the LMS method.ResultsBMI, FMI, FFMI, FM/FFM, and FM/FFM² curves showed similar shapes between boys and girls with steady increases in BMI, FMI, and FFMI, while FM/FFM²-centiles decreased during early childhood and adolescence. Sex differences were observed in FMI and FM/FFM percentiles with increases in FMI up to age 9 years followed by a steady decrease in FM/FFM during and after puberty with a fast-growing FFMI up to age 17 in boys. The prevalence of low FFM relative to FM reached more than 60% in overweight children and adolescents.ConclusionThese pediatric body composition reference data enable physicians and public health scientists to monitor body composition during growth and development and to interpret individual data. The data point out to an early risk of sarcopenia in overweight children and adolescents.     

Relationships between plasma leptin levels and body composition parameters measured by different methods in postmenopausal women

The aim of this study was to determine the effects of body composition measured by different methods with different measurement errors on fasting plasma leptin level in normal body mass and obese postmenopausal women. It was hypothesized that the relationship between plasma leptin concentration and body fat is higher using more sophisticated laboratory methods (dual energy X‐ray absorptiometry, DXA) in comparison with field methods (bioelectrical impedance analysis, BIA, or skinfold thickness) for body fat measurement because of the greater precision of DXA measurements. Thirty‐five postmenopausal (55–83 years of age) healthy Estonian women were divided into two groups: BMI < 27kg/m² as non obese (n = 18) and BMI> 27kg/m² as obese (n = 17). Body composition was determined using DXA (total body, arms, legs, and trunk fat percent, fat mass, and LBM) and BIA methods. Body fat percent was significantly higher using the DXA method. Subcutaneous adipose tissue distribution was determined by measuring nine skinfold thicknesses. Body fat distribution was defined as the ratio of waist‐to‐hip (WHR) and waist‐to‐thigh (WTR) circumferences. Leptin was determined by means of radioimmunoassays. Leptin concentration was not significantly different between groups (19.0 ± 13.3 and 21.5 ± 21.5ng/ml in non obese and obese groups, respectively). Body fat percent and fat weight measured by DXA or BIA methods and all measured skinfold thickness values, except biceps and abdominal, were higher in obese women. Body height did not correlate significantly with leptin concentrations. The relationships between leptin concentration were highest with body weight (r = 0.67) and BMI (r = 0.73) values in the obese group. All measured body fat parameters using DXA or BIA methods correlated significantly with plasma leptin concentration in the obese group. LBM did not influence the leptin concentration in postmenopausal women. Stepwise multiple regression analysis indicated that the body fat percent measured using the DXA method was highly related to plasma leptin concentration in the obese group (63.2%; R² × 100). When absolute fat mass parameters were considered, leptin concentration was related to the mass of arms fat tissue in the obese group of women (62.3%). Body fat percent measured by BIA was highly related to plasma leptin concentration in the obese group (63.3%). Only biceps skinfold thickness was related to leptin concentration (22.5% and 58.9%, in the nonobese and obese groups, respectively) from the nine measured skinfold thicknesses. WHR and WTR did not reflect leptin concentration in different groups of postmenopausal women. It was concluded that different methods of body composition estimation generate different correlations with plasma leptin concentration. Body fat percent and especially fat mass measured by DXA are the main predictors relating to plasma leptin concentration in obese, but not in nonobese, postmenopausal women. In addition, fat mass in arms measured by DXA and biceps skinfold thickness were also highly related to leptin concentration. Am. J. Hum. Biol. 15:628–636, 2003. © 2003 Wiley‐Liss, Inc.     

Serum leptin correlates with serum uric acid but not serum testosterone in non-obese male adolescents

To identify the serum factors that affect circulating leptin levels, we measured the serum concentrations of leptin, testosterone (T), estradiol (E), serum alanine aminotransferase, total cholesterol and uric acid (UA) in healthy male adolescents (age, 18.3 +/- 0.1 years, n=96). We also measured body mass index (BMI), percent body fat and thickness of skin fold to assess the effect of body constitution on serum leptin level. Since serum concentration of leptin significantly correlated with BMI (r=0.820, p<0.001), we analyzed the relation-ship between leptin/BMI ratio (L/BMI) and serum parameters. Analysis of data of subjects with normal serum T level showed a significant inverse correlation between L/BMI and serum T levels (n=96, r=-0.294, p<0.005), but no such correlation was present among non-obese subjects (n=70) with BMI of +/-20% of normal (22 kg/m2). There was no correlation between L/BMI and serum E level. Serum UA level significantly correlated with L/BMI in both the test group (n=96, r=0.520, p<0.001) and non-obese subjects (r=0.369, p<0.005). Stepwise multiple regression analysis showed that UA independently and significantly influenced serum leptin levels in both the test and control groups. Our results demonstrate that T weakly influences serum leptin concentration, and that UA concentrations strongly influences serum leptin in healthy male adolescents independent of their obesity level.     

Lower serum leptin concentrations in rugby players in comparison with healthy non-sporting subjects – relationships to anthropometric and biochemical parameters

Leptin is a protein hormone synthesized by adipocytes. Its serum concentrations reflect the total body fat content. Serum leptin concentrations are significantly higher in obese than in lean people and in women than in men. However little information about the influence of physical activity on serum leptin concentrations is available. We have compared the body weight, the body mass index (BMI), the body fat content (measured by caliper as skinfold thickness) and the serum concentrations of leptin, triglycerides, total, high density and low density lipoprotein (LDL) cholesterol in 14 top rugby players and 10 healthy controls. We found that serum leptin, total and LDL cholesterol concentrations were significantly lower in the rugby players group than in the control subjects. The body weight and BMI were significantly higher in the rugby players, while the body fat content was only slightly (non-significantly) higher in the control group. The serum leptin concentrations in both groups positively correlated with the?BMI and body fat content and also with LDL concentrations in the control group. The serum leptin concentrations in the rugby players were lower than in the non-sporting subjects despite a similar body fat content in both groups. We would therefore suggest the possibility that regular hard physical training decreases serum leptin concentrations not only by the decrease of total body fat content, but also by a separate mechanism, which is not directly dependent on the changes in the amount of body adipose tissue.     

Relevance of Physical Activities,Sedentary Behaviors,and Genetic Predisposition in Body Fatness: Population-Based Study on Chinese Adults

IntroductionLittle attention has been paid to the interacting effect of specific intensities of physical activities (PAs) and sedentary lifestyle, like television watching, and genetic predisposition on body composition indices among Chinese adults. Herein, we aimed to examine whether specific types of PAs and sedentary behaviors (SBs) were associated with body composition indices among Chinese adults and to further explore whether these associations interacted with the genetic predisposition to high BMI.MethodsCross-sectional data regarding PAs and time spent on SBs and dietary intake of 3,976 Chinese adults (54.9% women) aged 25–65 years in Southwest China were obtained via questionnaires in 2013–2015. Weight, height, and waist circumference (WC) were measured, and BMI, percentage of body fat (%BF), fat mass index (FMI), and fat-free mass index (FFMI) of the participants were calculated. Genetic risk score (GRS) was calculated on 9 established BMI-associated SNPs among Chinese adults.ResultsWhen the participants were stratified by GRS for BMI, significant associations were only found for adults with high GRS for BMI: moderate-to-vigorous physical activity (MVPA) was negatively associated with WC and %BF and positively related to FFMI. The adjusted positive relationship of time spent watching television with BMI, WC, %BF, and FMI were also just found between adults with high weighted GRS for high BMI: for every 1 h increment in television watching, the BMI, WC, %BF, and FMI of the participants increased by 0.2 kg/m², 0.9 cm, 0.3%, and 0.1 kg/m², respectively (p < 0.02).ConclusionMVPA may be a protective factor against obesity, and prolonged television watching may accentuate adiposity. These putative effects may be more pronounced among individuals with a high genetic risk of a high BMI.     

Is obesity associated with short-term revision after total knee arthroplasty? An analysis of 121,819 primary procedures from the Dutch Arthroplasty Register

BackgroundThe prevalence of obesity is increasing. The association with knee osteoarthritis is well documented, resulting in the population requesting total knee arthroplasty (TKA) for invalidating symptoms to be heavier in nature. The purpose of the current analysis was to assess the association between preoperative body mass index (BMI) and short-term revision rate after TKA. The secondary aim was to investigate the influence of implant fixation method on the association between BMI and survivorship.MethodsThis is a retrospective analysis of prospectively collected registry data (Dutch Arthroplasty Register; LROI). All primary TKA procedures in patients >18 years of age with registered BMI were selected (n = 121,819). Non-obese patients (BMI 18–25) were compared with overweight (BMI 25–30) and class I–III obese (BMI >30, >35, >40) patients. Crude all-cause revision rates were calculated using competing risk analysis. Adjusted hazard ratios (HRs) were determined with Cox multivariable regression analyses for all-cause, septic and aseptic revision and secondary patellar resurfacing.ResultsRevision rates were 3.3% for non-obese patients, 3.5% for overweight patients, 3.7% for class I obese patients, 3.6% for class II obese patients and 3.7% for class III obese patients. Class III obese patients had a significant higher risk for septic revision compared with non-obese patients (HR 1.53, 95% confidence interval (CI) 1.06–2.22). Class I obese patients had a higher risk for secondary patellar resurfacing (HR 1.52, 95% CI 1.12–2.08). All-cause and aseptic revision rates were similar between BMI groups.ConclusionsObesity appeared to be associated with some short-term revision risks after TKA, but was not associated with an overall increase in revision rate.     

Relationships between adiponectin,leptin, and blood lipids in physically active postmenopausal females

The aim of this study was to investigate the possible relationships between adiponectin and leptin with blood lipids (CHOL, HDL‐C, LDL‐C, and TG) in physically active postmenopausal women. One hundred and thirty‐four physically active practicing gymnastics (2–3 times per week) women between the ages of 51 to 85 years participated in this cross‐sectional study. Body height, body mass, waist‐to‐hip circumference ratio (WHR), and BMI were used as anthropometrical parameters. Body composition parameters (fat%, fat mass, fat free mass) were measured by DXA. The fasting adiponectin, leptin, CHOL, HDL‐C, LDL‐C, and TG were measured. From the anthropometrical and body composition parameters, only WHR correlated significantly with adiponectin (r = ?0.306). In addition, adiponectin correlated with TG (r = ?0.277) and leptin (r = ?0.381). Leptin was positively related to body mass (r = 0.261), and BMI (r = 0.274) from anthropometrical parameters and body fat% (r = 0.288) and fat mass (r = 0.298) from body composition variables. No relationships emerged between leptin and blood lipids. We found that there are some significant relationships between adiponectin, leptin and anthropometrical and body composition parameters in physically active postmenopausal females. From blood lipids, only TG correlated significantly with adiponectin. Am. J. Hum. Biol. 22:609–612, 2010. © 2010 Wiley‐Liss, Inc.     

Obese adolescents with eating disorders: analysis of metabolic and inflammatory states

ObjectiveThe purpose of the present investigation was to compare the effect of interdisciplinary therapy on the physical and metabolic profiles, including body composition, insulin resistance and sensitivity as well as adiponectin and leptin concentrations, of obese adolescents with and without eating disorder symptoms.MethodsA total of 83 obese adolescents (28 with and 55 without eating disorder symptoms) were enrolled for 1 year of interdisciplinary weight-loss therapy (clinical, nutritional, exercise, physiotherapy and psychological). Bulimic and binge eating symptoms were measured by the Bulimic Investigatory Test, Edinburgh, and the Binge Eating Scale, respectively. Leptin and adiponectin concentrations were measured with enzyme-linked immunosorbent assay kits. Visceral and subcutaneous fat were assessed by ultrasonography.ResultsBoth groups demonstrated improved body mass, body mass index, body fat (%), lean mass, visceral fat, subcutaneous fat, homeostasis model assessment insulin-resistance index (HOMA-IR), quantitative insulin sensitivity check index, total cholesterol, LDL-cholesterol, VLDL, triglycerides, adiponectin and leptin concentrations after therapy. We found a positive correlation between leptin concentrations and subcutaneous fat in the control group and a negative correlation between adiponectin concentrations and HOMA-IR and fat mass (%). The prevalence of obese adolescents with eating disorders was reduced by 89% after 1 year of interdisciplinary therapy.ConclusionThe eating disorder symptoms did not impair the metabolic state during weight loss therapy of obese adolescents. Additionally, long-term interdisciplinary therapy was effective in reducing the chances of developing several co-morbidities in both groups.     

Physical and Mental Factors Associated with Obesity in Individuals with Mental Disorders Attending Psychiatric Day-Care Facilities

Background

Individuals with mental disorders have increased rates of obesity and metabolic syndrome. Here we evaluated factors influencing obesity in individuals with mental disorders who were attending psychiatric day-care facilities on an outpatient basis.

Methods

The subjects (n = 108) were outpatients attending hospital-based rehabilitation programs. We assessed body fat, weight, height, waist circumference, body mass index (BMI), blood pressure, Geriatric Depression Scale-15 (GDS) scores, frequency of day-care visits, satisfaction with body shape, physical comorbidity and lifestyle habits. Lifestyle habits were evaluated using Breslow''s health index based on health-related choices.

Results

The subjects were divided into 2 groups: obese group (BMI ≥ 25 kg/m²) and non-obese group (BMI < 25 kg/m²). The physical parameters and attributes of both groups were compared, and factors related to BMI were statistically analyzed. The prevalence of obesity was 47.2% in all patients, 42.4% in males and 54.8% in females. Weight, waist circumference, body fat and systolic and diastolic blood pressure were significantly higher in the obese group than in the non-obese group. Body fat, waist circumference, systolic blood pressure and diastolic blood pressure exhibited significant positive correlations with BMI, whereas the frequency of day-care visits, satisfaction with body shape, GDS score and Breslow''s health index exhibited significant negative correlations with BMI.

Conclusion

The present results showed that the prevalence of obesity was high in outpatients with mental disorders. Improvement in lifestyle choices is necessary to prevent obesity and the onset of metabolic syndrome in such patients.