Obesity Markers Research Articles

Dietary patterns, obesity markers and leukocyte telomere length among Brazilian civil servants: cross-sectional results from the Pro-Saude study - CORRIGENDUM.

Dietary patterns, obesity markers and leukocyte telomere length among Brazilian civil servants: cross-sectional results from the Pro-Saude study - CORRIGENDUM.

Study of the Effect of Intestinal Microbes on Obesity: A Bibliometric Analysis.

Obesity is a serious public health problem. According to statistics, there are millions of obese people worldwide. Research studies have discovered a complex and intricate relationship between the gut microbiota and obesity. Probing and summarizing the relationship between intestinal microbes and obesity has important guiding significance for the accurate control of the research direction and expanding the choice of obesity treatment methods. We used bibliometric analysis to analyze the published literature with the intention to reveal the research hotspots and development trends on the effects of intestinal microbes on obesity from a visualization perspective, both qualitatively and quantitatively. The results showed that current research is focusing on related mechanisms of the effects of intestinal microbes on obesity and therapeutic methods for obesity. Several noteworthy hotspots within this field have garnered considerable attention and are expected to remain the focal points of future research. Of particular interest are the mechanisms by which intestinal microbes potentially regulate obesity through metabolite interactions, as well as the role of microbiomes as metabolic markers of obesity. These findings strongly suggest that gut microbes continue to be a key target in the quest for effective obesity treatments. Co-operation and communication between countries and institutions should be strengthened to promote development in this field to benefit more patients with obesity.

Biomarkers of glucose homeostasis as mediators of the relationship of body mass index and waist circumference with COVID-19 outcomes among postmenopausal women: The Women’s Health Initiative

Systematic reviews, meta-analyses and Mendelian randomization studies suggest that cardiometabolic diseases may be associated with COVID-19 risk and prognosis, with evidence implicating insulin resistance (IR) as a common biological mechanism. As driving factors for IR, we examined body mass index (BMI) and waist circumference (WC) among postmenopausal women in association with COVID-19 outcomes (positivity and hospitalization), and the role of glucose homeostasis as a mediator of this relationship. Associations of BMI and WC at baseline (1993-1998) with COVID-19 outcomes collected at Survey 1 (June-December, 2020) and/or Survey 2 (September-December, 2021) were evaluated among 42,770 Women's Health Initiative (WHI) participants (baseline age: 59.36 years) of whom 16,526 self-reported having taken ≥1 COVID-19 test, with 1242 reporting ≥1 positive COVID-19 test and 362 reporting ≥1 COVID-19 hospitalization. We applied logistic regression and causal mediation analyses to sub-samples with available fasting biomarkers of glucose homeostasis (glucose, insulin, Homeostatic Model Assessment for Insulin Resistance, Homeostasis Model Assessment for β-cell function, Quantitative Insulin-sensitivity Check Index, Triglyceride-Glucose index (TyG)) at baseline, whereby 57 of 759 reported COVID-19 test positivity and 23 of 1896 reported COVID-19 hospitalization. In fully adjusted models, higher BMI, WC and TyG were associated with COVID-19 test positivity and hospitalization. Glucose concentrations mediated associations of BMI and WC with COVID-19 positivity, whereas TyG mediated BMI and WC's associations with COVID-19 hospitalization. Obesity and central obesity markers collected an average of 24 years prior were associated with COVID-19 outcomes among postmenopausal women. Glucose concentration and TyG partly mediated these associations.

Assessing the usefulness of a newly proposed metabolic score for visceral fat in predicting future diabetes: results from the NAGALA cohort study.

Visceral adipose tissue assessment holds significant importance in diabetes prevention. This study aimed to explore the association between the newly proposed Metabolic Score for Visceral Fat (METS-VF) and diabetes risk and to further assess the predictive power of the baseline METS-VF for the occurrence of diabetes in different future periods. This longitudinal cohort study included 15,464 subjects who underwent health screenings. The METS-VF, calculated using the formula developed by Bello-Chavolla etal., served as a surrogate marker for visceral fat obesity. The primary outcome of interest was the occurrence of diabetes during the follow-up period. Established multivariate Cox regression models and restricted cubic spline (RCS) regression models to assess the association between METS-VF and diabetes risk and its shape. Receiver operating characteristic (ROC) curves were used to compare the predictive power of METS-VF with body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), and visceral adiposity index (VAI) for diabetes, and time-dependent ROC analysis was conducted to assess the predictive capability of METS-VF for the occurrence of diabetes in various future periods. During a maximum follow-up period of 13 years, with a mean of 6.13 years, we observed that the cumulative risk of developing diabetes increased with increasing METS-VF quintiles. Multivariable-adjusted Cox regression analysis showed that each unit increase in METS-VF would increase the risk of diabetes by 68% (HR 1.68, 95% CI 1.13, 2.50), and further RCS regression analysis revealed a possible non-linear association between METS-VF and diabetes risk (P for non-linearity=0.002). In addition, after comparison by ROC analysis, we found that METS-VF had significantly higher predictive power for diabetes than other general/visceral adiposity indicators, and in time-dependent ROC analysis, we further considered the time-dependence of diabetes status and METS-VF and found that METS-VF had the highest predictive value for predicting medium- and long-term (6-10 years) diabetes risk. METS-VF, a novel indicator for assessing visceral adiposity, showed a significantly positive correlation with diabetes risk. It proved to be a superior risk marker in predicting the future onset of diabetes compared to other general/visceral adiposity indicators, particularly in forecasting medium- and long-term diabetes risk.

Enhanced Predictive Value of Lipid Accumulation Product for Identifying Metabolic Syndrome in the General Population of China.

The purpose of this research was to evaluate the lipid accumulation product (LAP)'s accuracy and predictive value for identifying metabolic syndrome (MS) in the general Chinese population compared with other obesity indicators. Baseline survey information from a population-based cohort study carried out in Shanghai's Songjiang District was used in this research. Odds ratios (OR) and a 95% confidence interval (CI) were obtained by logistic regression. The ability of each variable to detect MS was assessed using the receiver operating characteristic curve (ROC). The optimum cut-off point for each indicator was selected using Youden's index. The survey involved 35,446 participants in total. In both genders, the prevalence of MS rose as the LAP increased (p < 0.001). The LAP's AUC was 0.901 (95%CI: 0.895-0.906) in males and 0.898 (95%CI: 0.893-0.902) in females, making it substantially more predictive of MS than other variables (BMI, WC, WHR, WHtR). The optimal cutoff point of the LAP for men and women was 36.04 (Se: 81.91%, Sp: 81.06%) and 34.95 (Se: 80.93%, Sp: 83.04%). The Youden index of the LAP was 0.64 for both sexes. Our findings imply that the LAP, compared to other obesity markers in China, is a more accurate predictor of MS.

Elevated Serum Concentration of Adipocyte Fatty Acid-Binding Protein Correlates with the Markers of Abdominal Obesity Independently of Thyroid Hormones in Non-Obese Women with Polycystic Ovary Syndrome.

Adipocyte fatty acid-binding protein (A-FABP) is mainly expressed in adipocytes. The risk of abdominal obesity and autoimmune thyroid disease is increased in women with polycystic ovary syndrome (PCOS). The objective of this study was to explore the relationship of serum concentration of A-FABP with parameters of obesity, e.g., waist to hip ratio (WHR) and the amount of adipose tissue assessed by bioelectrical impedance analysis (BIA), and thyroid hormone homeostasis in women with PCOS. We examined 66 women with PCOS and 67 healthy women. Serum concentrations of A-FABP and thyroid hormones were measured; the FT3/FT4 ratio, thyroid-stimulating hormone index (TSHI), thyrotrope thyroxine resistance index (TT4RI) and thyroid feedback quantile-based index (TFQI) were calculated. In the PCOS group, serum concentrations of A-FABP, FT3 and the FT3/FT4 ratio were significantly higher in comparison to the control group (all p < 0.05). A correlation of A-FABP with WHR (r = 0.26, p = 0.04) and the percentage of adipose tissue (r = 0.33, p = 0.01) has been found only in women with PCOS. We observed no correlation between serum levels of A-FABP and TSHI, TT4RI or TFQI in women with PCOS (all p > 0.05). Our results indicate that A-FABP is an adipokine that may be connected with abdominal obesity independently of thyroid hormone homeostasis in PCOS patients.

Blood pressure variation and ultra-processed food consumption in children with obesity.

To investigate the influence of ultra-processed food (UPF) consumption on systolic (SBP) and diastolic (DBP) blood pressure in children with obesity, using dietary and urinary markers. We conducted a secondary analysis of a randomized clinical trial involving children with obesity, aged 7 to 12years. Over a period of six months, the children and their guardians attended monthly individual consultations and educational activities aimed at promoting a reduction in UPF consumption. During each visit, measurements of blood pressure, body weight, height, and 24-h dietary recall were recorded. Additionally, spot urine samples were collected at baseline, and at the second and fifth-month follow-ups. A total of 96 children were included in the analysis. Energy intake, UPF intake and blood pressure showed a quadratic pattern of change, with a decrease in the first two months and an increase thereafter. There was an association between UPF consumption and DBP. The intake of UPF was correlated with the urinary sodium-to-potassium (Na/K) ratio (r = 0.29; p = 0.008) and the dietary Na/K ratio (r = 0.40; p < 0.001). For every 100g increase in UPF, DBP increased by 0.28mmHg (p-value = 0.01). After further adjustment for changes in body mass index (BMI), and physical activity, the increase in DBP was 0.22mmHg. Conclusion: Our findings indicate that reducing UPF consumption may have an impact on blood pressure in children with obesity. Additional adjustment for BMI and physical activity did not influence the results. Therefore, reducing UPF consumption can be considered as a strategy against hypertension. What is Known: • Ultra-processed food consumption is associated with an increased risk of cardiovascular disease; however, this evidence is still limited in children. • Intake of calories from ultra-processed food in relation to the total calories is increasing worldwide. What is New: • Ultra-processed food consumption has an effect on the diastolic blood pressure, independent of changes in weight. • The intake of ultra-processed food was correlated to the dietary sodium-to-potassium ratio (r = 0.40; p < 0.001).

Consumption of some Nigerian local rice varieties and effect on development of insulin resistance and obesity in Drosophila melanogaster

There is evidence to suggest that the increased incidence of insulin resistance and obesity is associated with the consumption of energy-dense and highly processed foods like polished rice. This study, therefore, investigated the effects of consumption of selected local rice varieties on some markers of insulin resistance and obesity using Drosophila melanogaster. Five different local rice varieties (Jamila, Kwandala, Mai-bakin carki, Yar-katabore and Yar-washagi) were subjected to proximate composition analysis, which showed that the unpolished local varieties had a better deposit of nutrients. Thereafter, adult flies were raised on diets containing either polished or unpolished forms of the five different local rice varieties for seven days and thereafter, analysed for weight and locomotor ability, as well as the levels of glucose, trehalose, glycogen and triglycerides in the hemolymph and expression levels of ACC and Pepck genes. Drosophila melanogaster flies on the polished rice groups showed increased weight, hyperglycaemia and hyperlipidaemia, compared to those on the unpolished rice (p&lt;0.05). Changes in gene expression were in line with the biochemical changes. The study, thus, suggested that the substitution of polished with unpolished local rice may reduce the risk of insulin resistance and obesity, as well as their related complications.

Measurement of Erect and Supine Waist Circumference among Healthy Adults

Background: Erect waist circumference is a key marker of obesity. However, it is not possible to measure erect waist circumference in all patients. This study aims to formulate an equation to calculate erect waist circumference from supine waist circumference for both males and females in our population. Methods: Thirty female and thirty male volunteers were recruited. Erect and supine waist circumference measurements were taken as per WHO STEPS protocol. The measurements were made at the approximate midpoint between the lower margin of the last palpable rib and the top of the iliac crest at the end of a normal expiration. Results: Erect waist circumference was found to be greater than supine waist circumference with the mean difference in overall participants being 2.6 + 1.4 cm. The difference between erect and supine waist circumference was significantly higher in females (Mean difference 3.1 + 1.6 cm) than in males (Mean difference 2.2 + 0.9 cm). A simple correction formula was derived as corrected erect waist circumference = -2.757 + 0.9 x Gender + 1.048 x Supine waist circumference. Conclusion: This formula which has been derived can be used in situations where only supine waist circumference measurement is possible.

Traffic noise in the bedroom in association with markers of obesity: a cross-sectional study and mediation analysis of the respiratory health in Northern Europe cohort

BackgroundPrevious research suggests an association between road traffic noise and obesity, but current evidence is inconclusive. The aim of this study was to assess the association between nocturnal noise exposure and markers of obesity and to assess whether sleep disturbance might be a mediator in this association.MethodsWe applied data from the Respiratory Health in Northern Europe (RHINE) cohort. We used self-measured waist circumference (WC) and body mass index (BMI) as outcome values. Noise exposure was assessed as perceived traffic noise in the bedroom and/or the bedroom window’s location towards the street. We applied adjusted linear, and logistic regression models, evaluated effect modifications and conducted mediation analysis.ResultsBased on fully adjusted models we found that women, who reported very high traffic noise levels in bedroom, had 1.30 (95% CI 0.24–2.37) kg/m2 higher BMI and 3.30 (95% CI 0.39–6.20) cm higher WC compared to women, who reported no traffic noise in the bedroom. Women who reported higher exposure to road traffic noise had statistically significant higher odds of being overweight and have abdominal obesity with OR varying from 1.15 to 1.26 compared to women, who reported no traffic noise in the bedroom. For men, the associations were rather opposite, although mostly statistically insignificant. Furthermore, men, who reported much or very much traffic noise in the bedroom, had a statistically significantly lower risk of abdominal obesity. Sleep disturbance fully or partially mediated the association between noise in bedroom and obesity markers among women.ConclusionOur results suggest that self-reported traffic noise in the bedroom may be associated to being overweight or obese trough sleep disturbance among women, but associations were inconclusive among men.

Examining the associations between testosterone and biomarkers as men age.

Testosterone concentrations in men decline with advancing age. However, the cause of the decline is yet to be fully elucidated. Therefore, the aims of this study were to examine the associations between chronic diseases such as obesity and type 2 diabetes mellitus (T2DM) with total testosterone (TT) and sex hormone-binding globulin (SHBG), using a large nationally-representative data set (National Health and Nutrition Examination Survey; NHANES). NHANES is a cross-sectional survey, physical examination, and laboratory evaluation of a nationally-representative sample of a non-institutionalized United States population. Male participants aged ≥18 years during the NHANES 2013-2014 and NHANES 2015-2016 survey periods were selected for this analysis. The analysis included the following data: body mass index (BMI), oral glucose tolerance test (OGTT), homeostatic model assessment of insulin resistance (HOMA-IR), insulin, glucose, and age. An overweight or obese condition was significantly inversely associated with TT and SHBG, even after adjusting for other variables. Several variables associated with T2DM (OGTT, HOMA-IR, insulin, and glucose) were also inversely associated with TT; however, only the associations between OGTT and insulin with TT remained significant after adjusting for the other variables. Insulin and HOMA-IR levels were significantly inversely associated with SHBG; however, only the association between SHBG and pre-diabetic HOMA-IR levels remained significant after adjusting for the other variables. OGTT became significantly associated with SHBG after adjusting for the other variables. Age was significantly inversely associated with TT, but positively associated with SHBG, even after adjusting for other variables. The results of the present study, which is the largest to date, indicate that a marker of obesity, BMI, and some markers of T2DM are both independently and significantly inversely associated with TT and SHBG.

Tracking between cardiovascular-related measures at 4 and 8years of age in the INMA-Asturias cohort.

Identifying cardiovascular-related measures that track from early childhood into later ages may help inform early prevention targets for cardiovascular disease. In this study, the tracking of triglycerides (TG), high-density cholesterol (HDL-c), atherogenic coefficient (AC), waist circumference to height ratio (WC/Height), mean arterial pressure (MAP), and homeostatic model assessment of insulin resistance (HOMA-IR) was examined in the INMA-Asturias cohort between 4 and 8years of age. The analysis was conducted in 307 children who participated in the INMA-Asturias cohort (Spain) at 4 and at 8years of age. Quantile regression models were used to evaluate tracking between measures at both ages, with each measure at 8years as the dependent variable and the rank transformation of the same measure at 4years as the independent variable. We found a positive association between HDL-c rank at 4years and higher quantiles of the HDL-c distribution at 8years, with an increase of 2.93mg/dL (95% CI: 1.98, 3.87) per decile in the 0.9 quantile. A positive association was also found for WC/Height, with an increase of 0.008 (95% CI: 0.004, 0.012) per decile in the 0.9 quantile. We observed that tracking for AC increased in the higher quantiles of the distribution at 8years, with an increase of 0.11 (95% CI: 0.09, 0.14) in the 0.6 quantile compared to an effect of 0.15 (95% CI: 0.09, 0.21) in the 0.9 quantile. Conclusions: Adult markers of dyslipidemia and central obesity tracked between ages 4 and 8years. For AC, tracking increased in the higher quantiles of the distribution. What is Known: • Atherosclerosis begins in early life, so preventive efforts that start in childhood may delay progression to clinical disease. Determine what cardiovascular risk factors track into time since childhood bring the opportunity to identified those subjects at risk for later cardiovascular disease. • The study of risk factors in health populations and, particularly in children, copes with not clear and/or controversial thresholds definition. This makes it challenging to study tracking in pediatric ages. What is New: • Quantile regression is a useful tool for assessing the tracking of risk factors for which there are no clinically meaningful thresholds. The increasing trend observed in the tracking of dyslipidemia suggests the possible difficulty that children with abnormal values at 4 years of age might have in normalizing them in future years. • The findings of this article may help to determine which cardiovascular-related measures could be screened and followed-up in children.

Effect of Manual Lymphatic Drainage on the Concentrations of Selected Adipokines, Cytokines, C-Reactive Protein and Parameters of Carbohydrate and Lipid Metabolism in Patients with Abnormal Body Mass Index: Focus on Markers of Obesity and Insulin Resistance.

The aim of the study was to assess the impact of manual lymphatic drainage (MLD) on the parameters of carbohydrate metabolism, lipid metabolism and the level of selected adipokines and cytokines in people with abnormal body mass index (BMI). In addition, an attempt was made to assess the optimal cut-off values of serum concentrations of the biochemical parameters studied in identifying the risk of obesity and insulin resistance (IR). The study included 60 subjects who underwent 10 and 30 min long MLD sessions three times a week. The study group included 15 patients with a normal body mass index (group I; n = 15), overweight patients (group II; n = 15) and obese patients (group III; n = 10). The control group was IV; n = 20 subjects not undergoing MLD. Biochemical tests were carried out on all subjects at stage 0' (before MLD therapy) and at stage 1' (one month after MLD therapy). In the control group, the time between the sample collection at stage 0' and stage 1' was the same as in the study group. Our results showed that 10 MLD sessions may have a positive effect on the selected biochemical parameters, including insulin, 2h-PG, leptin and HOMA-IR values in normal weight and overweight patients. In addition, in the study group, the highest AUCROC values in identifying the risk of obesity were found for leptin (AUCROC = 82.79%; cut-off = 17.7 ng/mL; p = 0.00004), insulin (AUCROC = 81.51%; cut-off = 9.5 µIU/mL; p = 0.00009) and C-peptide (AUCROC = 80.68%; cut-off = 2.3 ng/mL; p = 0.0001) concentrations as well as for HOMA-IR values (AUCROC = 79.97%; cut-off = 1.8; p = 0.0002). When considering the risk of IR, we observed the highest diagnostic value for insulin (AUCROC = 93.05%; cut-off = 1.8 ng/mL; p = 0.053), which was followed by C-peptide (AUCROC = 89.35%; cut-off = 17.7 ng/mL; p = 0.000001), leptin (AUCROC = 79.76%; cut-off = 17.6 ng/mL; p = 0.0002) and total cholesterol (AUCROC = 77.31%; cut-off = 198 mg/dL; p = 0.0008). Our results indicate that MLD may have a positive effect on selected biochemical parameters, including insulin, 2h-PG, leptin and HOMA-IR, in normal weight and overweight patients. In addition, we successfully established optimal cut-off values for leptin in the assessment of obesity and insulin in the assessment of insulin resistance in patients with abnormal body mass index. Based on our findings, we hypothesize that MLD, when combined with caloric restriction and physical activity, may serve as an effective preventive intervention against the development of obesity and insulin resistance.

Which obesity index is the most useful marker for predicting hepatic steatosis in children and adolescents with obesity? A cross-sectional study using quantitative magnetic resonance imaging

IntroductionWe aimed to evaluate the relationships between hepatic steatosis and various indices of obesity, and to identify the most useful index for the prediction of hepatic steatosis in children and adolescents with obesity. MethodsA total of 226 children and adolescents with a mean body mass index (BMI) z-score of 2.65 and a mean age of 11.4 years were subjected to anthropometric and body composition measurements, laboratory testing, abdominal fat mass assessment, and hepatic fat accumulation by magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF). The participants were divided into quartiles according to the severity of their hepatic steatosis, and the presence of hepatic steatosis was defined using an MRI-PDFF ≥ 5%. ResultsThe multivariate ordinal regression analysis showed that the severity of hepatic steatosis was positively associated with BMI, waist circumference, waist-to-hip ratio, waist-to-height ratio, fat mass, fat-free mass, visceral adiposity, and abdominal subcutaneous adiposity. Higher activities of liver enzymes and higher concentrations of triglyceride, C-reactive protein, fasting insulin, and leptin were associated with more severe hepatic steatosis, whereas high-density lipoprotein-cholesterol and adiponectin were negatively associated with hepatic steatosis. The indices of obesity with areas under the receiver operating characteristic curves (AUCs) > 0.8 for the prediction of hepatic steatosis were liver enzymes, visceral adipose tissue area, waist-to-hip ratio, and waist-to-height ratio. ConclusionThe severity of hepatic steatosis significantly correlated with various indices of obesity and cardiometabolic markers in children and adolescents with obesity. The indices of abdominal obesity would be the most useful for the prediction of hepatic steatosis.

Investigation of the relationship between DNA methylation of PTH, ESRRA, FSHR and obesity: A single center study

Background: Obesity is a multifactorial disorder that is an important predisposing factor for a number of disorders. Genetic and epigenetic variations play important roles during the development of obesity. Method: DNA methylation is the most studied as one of the epigenetic modifications and is directly related to gene expression. Here, the methylation status of FSHR, PTH and ESRRA genes were investigated in obese patients to discover novel associations between DNA methylation and obesity phenotype. A total of 69 patients with obesity and 76 patients without obesity were enrolled in this study. DNA methylation in FSHR, PTH and ESRRA genes was analyzed. Result: There is a statistically significant association between the methylation status of ESRRA and fasting glucose (P=0.04) and BMI and methylation of the PTH gene (P=0.036) in obese subjects. In non-obese subjects, a statistically significant association was detected between adiponectin, resistin levels and FSHR methylation status. It is concluded that the methylation status of FSHR, PTH and ESRRA genes play an important role in obesity phenotype, adiponectin and resistin levels. These genes had previously been associated with obesity-related variables, but their methylation status was not highlighted. Conclusion: Our study will shed light on resolving the epigenetic contributions toward the development of obesity. Studies in the field of epigenetics will help discover predisposition markers for obesity. Based on the literature this was the first study that shows the interactions between FSHR, PTH and ESRRA methylation and obesity. Bangladesh Journal of Medical Science Vol. 22 No. 03 July’23 Page : 623-631

Body composition markers from classic anthropometry, bioelectrical impedance analysis, and magnetic resonance imaging are associated with inflammatory markers in the general population

Background and aimThe associations of body composition markers derived from different modalities with inflammatory markers are unclear. The aim of this study was to determine associations of the body composition markers from different modalities with inflammatory markers in a population-based study. Methods and resultsWe analyzed data from 4048 participants (2081 women, 51.4%) aged 20–84 years. Linear regression models adjusted for confounding were used to analyze the association of classic anthropometry markers, absolute and relative fat mass, absolute fat-free mass (FFM), and body cell mass (BCM) assessed by bioelectrical impedance analysis, subcutaneous, visceral, and liver fat from magnetic resonance imaging (MRI), with markers of inflammation. We found positive associations of classic anthropometry markers, total body fat, subcutaneous, visceral, and liver fat, with all inflammatory markers. Waist circumference (WC) showed the strongest association with high-sensitivity C-reactive protein (hsCRP) (β: 1.39; 95% confidence interval [CI]: 1.22 to 1.56) and white blood cell (WBC) (0.39; 0.29 to 0.48), whereas visceral fat showed the strongest association with ferritin (41.9; 34.7 to 49.0). Relative body fat was strongly associated with hsCRP (1.39; 1.20 to 1.58), fibrinogen (0.29; 0.27 to 0.32), and WBC (0.35; 0.25 to 0.46). Conversely, we found inverse associations of body height, FFM, and BCM with hsCRP, fibrinogen, and WBC. ConclusionsOur study indicates the importance of WC as an easily measured marker for early inflammation. MRI-assessed markers of central obesity seem to be most strongly related to ferritin.

IMPACT OF ANTHROPOMETRIC AND METABOLIC PARAMETERS ON LEFT VENTRICULAR MASS IN YOUTHS

Objective: Even though childhood obesity is an increasing epidemic, little is known about obesity on mediated organ damage. Left ventricular mass index (LVMI) is the main parameter assessing the presence of abnormalities on the heart in children and adolescents, however there is a lack of knowledge on its association with obesity status. Therefore, the objective of the study is to assess the impact of weight status, hemodynamic and metabolic parameters on LVMI. Design and method: Seventy-eight patients aged 5-16 yr attending the outpatient clinic of cardiovascular risk were enrolled and assessed for anthropometric variables, office blood pressure (OBP), laboratory blood tests (uric acid, lipid, and glycemic profile), and 2-D echocardiography was performed for cardiac mass and geometry evaluation. In addition, patients were classified based on the presence of insulin resistance. Results: The mean age of patients was 12.03 yr and males were 53.8%. Ten subjects were normal weight, 11 overweight, 39 obese, and 18 severely obese. No significant differences in values of OBP were observed among weight groups: 65 (83.3%) were normotensive, 7 high normal (9%), and 6 hypertensives (8%). A statistically significant positive correlation was observed between LVMI and obesity markers (BMI r = 0.383, waist circumference r = 0.461); Relative wall thickness and left atrial diameter were significantly correlated with BMI and waist circumference. BP parameters were not correlated to other variables, and differences in LVMI among BP phenotypes were non-significant, although a weak correlation was observed with systolic OBP (r = 0.291). When dividing the population by insulin resistance, adjusted by age, sex, and pubertal status, LVMI was significantly higher in the insulin-resistant group (32.34 g/m 2.7 (6.47) vs 37.27 g/m 2.7 (12.1), p = 0.037). Conclusions: Obesity and insulin resistance are the main determinants of LVMI in our population. In a cohort of children and adolescents with similar characteristics by laboratory parameters, obesity still appears to induce early preclinical damage at cardiac level in terms of mass and geometry irrespectively of the blood pressure phenotype.

P313 An overview of body composition and metabolic markers in adults with cystic fibrosis: a single centre analysis

To retrospectively assess the prevalence of overweight, obesity and sub-optimal cardio-metabolic markers in an adult cystic fibrosis (CF) cohort.

Association between the subcutaneous fat thickness of the knee and chondromalacia patella: a magnetic resonance imaging-based study.

Subcutaneous fat tissue thickness (SFTT) is a representative marker of obesity. This study was performed to determine the relationship between SFTT and chondromalacia patella (CP) through routine 1.5-Tesla magnetic resonance imaging (MRI) of the knee. In this retrospective cross-sectional study, 440 knee MRI scans were re-examined and divided into those with and without CP. A 1.5-Tesla MRI machine with a standard knee coil was used. Prepatellar SFTT (PSFTT) and medial SFTT (MSFTT) were measured on each MRI scan. PSFTT and MSFTT were compared between patients with and without CP. Both the PSFTT and MSFTT values were significantly higher in patients with than without CP. Women had significantly higher PSFTT and MSFTT values than men. A statistically significant correlation was found between the PSFTT and MSFTT values and the CP grades. The results of this study indicate an association between SFTT and CP. A positive correlation was also found between SFTT and CP severity.

0097 Sleep and Eating Rhythms are Associated with Metabolic Risk in Postmenopausal Women

Abstract Introduction Postmenopausal women are particularly vulnerable to metabolic dysfunction. Compelling evidence suggests that this is due to their lacking the protective effect of estrogens. We have shown that circulating estrogens regulate daily eating and sleep-activity rhythms in female mice and protect them from obesity and diabetes. However, few studies have investigated whether postmenopausal women have disrupted eating and sleep-activity rhythms that could contribute to their metabolic dysfunction. The purpose of this study was to investigate the relationship between eating rhythms, sleep, and metabolic risk in postmenopausal women. Methods During 7 days, we studied sedentary, postmenopausal women who were not taking hormones (estrogens ± progestin) and were metabolically unhealthy, defined as prediabetic or normal glucose tolerance with at least 1 feature of the metabolic syndrome. Women taking medications affecting sleep or eating were excluded. Sleep timing and quality were assessed by actigraphy and sleep logs. Times of first and last meals were collected from participants with a texting system. Body composition (DXA), body mass index (BMI), and waist circumference were collected as markers of obesity. Lipid metabolism and glycemic control were assessed by fasting lipid panel and HbA1c as well as oral glucose tolerance test. Results Eighteen postmenopausal women (mean ± SEM; 57.2 ± 1.1 years) participated in the study. Both sleep timing and quality were associated with metabolic risk in postmenopausal women. Specifically, later timing of sleep onset was associated with later meal timing and greater BMI and body fat percentage. Increased sleep fragmentation was associated with reduced HDL. In addition, both the timing and duration of eating were associated with worse metabolic measures. Longer eating duration was associated with larger waist circumference. Later eating time was associated with greater waist circumference and BMI. Conclusion We found that late timing and poor quality of sleep, as well as long eating duration, are associated with markers of metabolic risk in postmenopausal women. These data suggest that interventions that reduce eating duration and advance the timing of last meal and sleep onset may improve metabolic risk in postmenopausal women. Support (if any) This study is supported by NIH awards R01DK124774, T32 AG078110, and UL1TR001998.