Android Fat Mass Research Articles

SAT151 Assessments Of Body Composition In Women With Reactive Hypoglycemia

Abstract Disclosure: A. Adamska: None. A. Buczyńska: None. K. Łuka: None. A. Wiatr: None. K. Siewko: None. E. Duraj: None. A. Krętowski: None. A. Popławska-Kita: None. Introduction: Reactive hypoglycemia is characterized by low blood glucose level in non-diabetic patients. It manifests as a syndrome of adrenergic and neuroglycopenic symptoms in the postprandial period, and their resolution occurs after consuming carbohydrates. Reactive hypoglycaemia can also be seen in patients with insulin resistance and hyperinsulinism. In patients with reactive hypoglycemia can be observed disturbances in body composition. The aim of this study was to asses of body composition in women with reactive hypoglycaemia vs control group. Subjects and Methods: We examined 103 women: 49 subjects with RH and 54 control women matched for age and BMI. Four hours oral glucose tolerance test (OGTT) with 75 grams of glucose with estimation of serum glucose and insulin was performed. Body composition was analysed by dual-energy X-ray absorptiometry (DXA). Results: We did not observe differences in fat mass, fat free mass, android fat mass and fat free mass, gynoid fat mass and fat free mass and visceral adipose tissue estimated with DXA method between studied groups (all p>0.05). However, we have found positive relationship between fat mass and serum glucose concentration at 3rd hour of OGTT (r=0.29, p= 0.03) in the group of reactive hypoglycaemia. In the control group be observe relationships between android fat-free mass and serum glucose concentration at 3rd hour of OGTT (r=-0.3, p=0.02) and gynoid fat-free mass and serum glucose concentration at 3rd hour of OGTT (r=-0.27, p=0.04). Conclusions: Women with reactive hypoglycaemia is not differ in body composition estimated with DXA methods. However RH is connected in different manner with glucose homeostasis and fat and lean mass in comparison to control group. Presentation: Saturday, June 17, 2023

Anthropometric and DXA-derived measures of body composition in relation to pre-diabetes among adults

IntroductionAbdominal obesity is the most common risk factor of pre-diabetes and diabetes. Currently, several types of indices are used for the determination of visceral fat-related abdominal obesity. To better understand...

Physical Activity, Fitness, and Cardiovascular Disease Risk in Adolescent Childhood Cancer Survivors Compared to Controls: The Physical Activity in Childhood Cancer Survivors Study.

Purpose: Childhood cancer survivors have increased risk of cardiac late effects that can be potentially mitigated by physical activity and fitness. We aimed to (1) compare cardiovascular disease (CVD) risk between survivors and controls, and (2) examine whether the associations of moderate-to-vigorous physical activity (MVPA), cardiorespiratory fitness (CRF), and musculoskeletal fitness (MSF) with CVD risk factors differed between survivors and controls. Methods: Within the Physical Activity in Childhood Cancer Survivors (PACCS) study, we assessed CVD risk factors (android fat mass, systolic blood pressure [SBP], total cholesterol/high-density lipoprotein [HDL]-cholesterol, and glycosylated hemoglobin) in 157 childhood cancer survivors and 113 age- and sex-matched controls aged 9-18 years. We used multivariable mixed linear regression models to compare CVD risk factors between survivors and controls, and assess associations of MVPA, CRF, and MSF with CVD risk factors. Results: Compared with controls, survivors had more android fat mass (861 vs. 648 g, p = 0.001) and lower SBP (114 vs. 118 mmHg, p = 0.002). MVPA, CRF, and MSF were associated with lower levels of android fat mass and total cholesterol/HDL-cholesterol, and higher SBP in survivors. Associations of MVPA, CRF, and MSF with CVD risk factors were similar in survivors and controls (Pinteraction > 0.05), except the associations of CRF and MSF with android fat mass, which were stronger in survivors than in controls (Pinteraction ≤ 0.001). Conclusion: Owing to higher levels of android fat mass and its stronger association with physical fitness in childhood cancer survivors compared with controls, survivors should get targeted interventions to increase fitness to reduce future risk of CVD.

Eosinophils protect from metabolic alterations triggered by obesity.

Eosinophils are generally related to helminth infections or allergies. Their association with metabolic alterations and adipose tissue (AT) remodeling has been demonstrated mainly in animal models of obesity. However, their physiological role in driving metabolic features has not yet been well described. Herein, we aimed to evaluate the participation of eosinophils in metabolic and adipose tissue homeostasis in mice and humans, focusing on a translational perspective. Male BALB/c wild-type (WT) mice and GATA-1 knockout (Δdb/GATA-1-/-) mice were followed until 16-week-age in a regular diet or were fed with a high-refined-carbohydrate (HC) diet or high-fat (HF) diet for eight weeks. In subjects with obesity, clinical parameters and omental AT gene expression were evaluated. Eosinophils lack in mice fed a regular diet induced insulin resistance and increased adiposity. Their adipose tissue showed augmented cytokine levels, which could be attributed to increased leukocytes in the tissue, such as neutrophils and pro-inflammatory macrophages. Bone marrow transplant from WT mice to Δdb/GATA-1-/- mice showed some improvement in glucose metabolism with lower adipose tissue mass accretion. Upon an unhealthy diet challenge, Δdb/GATA-1-/- mice fed HC diet showed a mild degree of adiposity and glucose metabolic dysfunction severe in those mice fed HF diet. The expression of eosinophil markers in omental AT from humans with severe obesity was positively correlated to eosinophil cytokines and insulin sensitivity surrogate markers and negatively correlated to systemic insulin, HOMA-IR, and android fat mass. Eosinophils seem to have a physiological role by controlling systemic and adipose tissue metabolic homeostasis by modulating glucose metabolism, inflammation, and visceral fat expansion, even in lean mice. Indeed, eosinophils also seem to modulate glucose homeostasis in human obesity.

Menopausal symptoms and cardiometabolic risk factors in middle-aged women: A cross-sectional and longitudinal study with 4-year follow-up.

To study associations of menopausal symptoms with cardiometabolic risk factors. A cross-sectional and longitudinal study of a representative population sample of 1393 women aged 47-55years with a sub-sample of 298 followed for four years. The numbers of vasomotor, psychological, somatic or pain, and urogenital menopausal symptoms were ascertained at baseline through self-report. Their associations with cardiometabolic risk factors were studied using linear regression and linear mixed-effect models. Models were adjusted for age, menopausal status, body mass index, the use of hormonal preparations, education, smoking, and alcohol consumption. Cardiometabolic risk factors included total cholesterol, low-density and high-density lipoprotein cholesterol, blood pressure, glucose, triglycerides, total and android fat mass, and physical activity. All cholesterol and fat mass measures had modest positive associations with menopausal symptoms. The number of vasomotor symptoms, in particular, was associated with total cholesterol (B=0.13mmol/l, 95% CI [0.07, 0.20]; 0.15mmol/l [0.02, 0.28]) and low-density lipoprotein cholesterol (0.08mmol/l [0.03, 0.14]; 0.12mmol/l [0.01, 0.09]) in cross-sectional and longitudinal analyses, respectively. However, these associations disappeared after adjusting for confounders. The number of symptoms was not associated with blood pressure, glucose, triglycerides, and physical activity. Menopausal symptoms at baseline did not predict the changes in the risk factors during the follow-up. Menopausal symptoms may not be independently associated with cardiometabolic risk, and they do not seem to predict the changes in risk factors during the menopausal transition.

Weight loss does not affect the sit-to-stand metabolic cost in adolescents with obesity.

There is considerable interest in simple and effective methods to reduce sitting time and increase energy expenditure, and standing breaks have emerged as a realisable approach in individuals with obesity. The aim of the present study was to determine the extent to which energy expenditure in standing differs from sitting, and whether this energetic and metabolic-related responses are modified following a weight loss program in adolescents with obesity. After body composition assessment (DXA), cardiorespiratory and metabolic variables were continuously recorded (indirect calorimetry) during 10min while sitting and then during 5min standing posture before (n = 21; T1) and at the end of a multidisciplinary intervention (n = 17; T2) in adolescents with obesity. Before and after the intervention, energy expenditure and fat oxidation rates were significantly increased in standing compared with sitting. Weight loss did not change the relationship between sitting and standing energy expenditure. Sitting energy expenditure represented 1.0 and 1.1 Metabolic Equivalent of Task at T1 and T2, and increased to 1.1 and 1.2 during standing at T1 and T2, respectively. The percentage of change of android fat mass between T1 and T2 was positively associated with the percentage of change in energy expenditure from sitting to standing at T2. The vast majority of the adolescents with obesity significantly increased their energy expenditure between sitting and standing, both before and after a weight loss intervention. However, the standing posture did not allow breaking the sedentary threshold. Abdominal fat mass is associated with energic profile.

Interplay of Cortisol, Testosterone, and Abdominal Fat Mass in Normal-weight Women With Polycystic Ovary Syndrome.

Ovarian and adrenal steroidogenesis underlie endocrine-metabolic dysfunction in polycystic ovary syndrome (PCOS). Adipocytes express aldo-keto reductase 1C3 and type 1 11β-hydroxysteroid dehydrogenase, which modulate peripheral androgen and cortisol production. To compare serum adrenal steroids, including 11-oxygenated androgens (11-oxyandrogens), cortisol, and cortisone between normal-weight women with PCOS and body mass index- and age-matched ovulatory women with normal-androgenic profiles (controls), and assess whether adrenal steroids associate with abdominal adipose deposition. Prospective, cross-sectional, cohort study. Academic medical center. Twenty normal-weight women with PCOS and 20 body mass index-/age-matched controls. Blood sampling, IV glucose tolerance testing, and total-body dual-energy x-ray absorptiometry. Clinical characteristics, hormonal concentrations, and body fat distribution. Women with PCOS had higher serum total/free testosterone (T) and androstenedione (A4) levels and a greater android/gynoid fat mass than controls (androgens P < .001; android/gynoid fat mass ratio, P = .026). Serum total/free T and A4 levels correlated positively with android/gynoid fat mass ratio in all women combined (P < .025, all values). Serum 11ß-hydroxyA4, 11-ketoA4, 11ß-hydroxyT, 11-ketoT, cortisol, and cortisone levels were comparable between female types and unrelated to body fat distribution. Serum 11-oxyandrogens correlated negatively with % total body fat, but lost significance adjusting for cortisol. Serum cortisol levels, however, correlated inversely with android fat mass (P = .021), with a trend toward reduced serum cortisol to cortisone ratio in women with PCOS vs controls (P = .075), suggesting diminished 11β-hydroxysteroid dehydrogenase activity. Reduced cortisol may protect against preferential abdominal fat mass in normal-weight PCOS women with normal serum 11-oxyandrogens.

Adiposity and the risk of dementia: A population‐based study

AbstractBackgroundA higher body mass during mid‐life is a well‐established risk factor for dementia, while a higher body mass during late‐life has been linked to a decreased dementia risk. Yet, body mass may be an inaccurate measure of adiposity, especially in elderly. We therefore differentiated between body mass, fat mass, fat free mass, android fat mass and gynoid fat mass and examined the association between these measures and the risk of dementia. We also determined trajectories of body composition before the diagnosis of dementia.MethodIn the population‐based Rotterdam Study, body composition was measured using dual X‐ray absorptiometry every 4‐5 years between 2002‐2016. Incident dementia was recorded until 2020. We assessed the association between the first body composition measure and the risk of dementia using Cox models, adjusted for sex, age, height, education, smoking, alcohol intake, physical activity, depressive symptoms, and APOE ε4 status. Trajectories of body composition for patients before dementia diagnoses were constructed using linear mixed models and for dementia‐free participants, matched on birth year and sex. All analyses were done for men and women separately.ResultOf the 3,408 men (mean age 66.4 years) and 4,563 women (mean age 66.5 years) with at least one body composition measure available, 293 men and 526 women developed dementia during a mean follow‐up of 10.3 years. Higher body mass, fat mass, android fat mass and gynoid fat mass, but not fat free mass, tended to associate with a decreased risk of dementia in both men and women (Figure 1). After excluding the first five years of follow‐up only the association of gynoid fat mass in women remained statistically significant (hazard ratio [95% confidence interval]: 0.85 [0.75‐0.97]). No major differences in trajectories of body composition were observed, although a slight trend of a decrease in total, android and gynoid fat mass was observed in women up to 2 years before diagnosis.ConclusionA higher body mass, fat mass, android fat mass and gynoid fat mass were associated with a decreased risk of dementia. These results may be explained by reverse causality or competing risks, although a protective effect of adiposity cannot be excluded.

Association between android fat mass, gynoid fat mass and cardiovascular and all-cause mortality in adults: NHANES 2003-2007.

Evidence of the relationship between android fat mass and gynoid fat mass with the mortality prediction is still limited. Current study analyzed the NHANES database to investigate the relationship between android fat mass, gynoid fat mass and CVD, with all-cause mortality. The study subjects were NHANES participants over 20 years old, two indicators of regional body composition, android fat and gynoid fat were measured by Dual Energy x-ray Absorptiometry (DEXA). The other various covariates data obtained from the NHANES questionnaire and laboratory measurements, including age, gender, education, race/ethnicity, uric acid, total serum cholesterol, albumin, Vitamin C, folate, alcohol drinking, smoking status, history of diabetes, and hypertension. Mortality status was ascertained from a linked mortality file prepared by the National Center for Health Statistics. The study population was divided quartiles based on the distribution of android fat mass and gynoid fat mass. The relationship between these two indicators with cardiovascular and all-cause mortality was investigated by using Cox regression. The covariates age, gender, smoking status, drinking status, history of diabetes, and history of hypertension were stratified. In the fully adjusted model, Q3 had the lowest HR in android fat mass and gynoid fat mass. When examining the relationship between android fat mass and CVD mortality, current smokers and drinkers had the lowest CVD risk in Q2 [smoking: 0.21 (0.08, 0.52), drinking: 0.14 (0.04, 0.50)]. In diabetic patients, compared with Q1, other groups with increased android fat mass can significantly reduce the risk of CVD [Q4: 0.17 (0.04, 0.75), Q3: 0.18 (0.03, 1.09), Q2: 0.27 (0.09, 0.83)]. In ≥60 years old and female, the greater the gynoid fat mass, the smaller the HR of all-cause mortality [Q4 for ≥60 years old: 0.57 (0.33, 0.96), Q4 for female: 0.37 (0.23, 0.58)]. People <60 years old had a lower risk of all-cause mortality with gynoid fat mass in Q3 than those ≥60 years old [<60 years: 0.50 (0.27, 0.91), ≥60 years: 0.65 (0.45, 0.95)]. Among subjects without hypertension, the group with the largest android fat mass had the lowest risk of CVD mortality, and the group with the largest gynoid fat mass had the lowest risk of all-cause mortality [Android fat mass: 0.36 (0.16, 0.81), gynoid fat mass: 0.57 (0.39, 0.85)]. Moderate android fat mass and gynoid fat mass (Q3) had the most protective effect. Smokers and drinkers need to control their body fat. Being too thin is harmful to people with diabetes. Increased gynoid fat mass is a protective factor for all-cause mortality in older adults and females. Young people's gynoid fat mass is more protective in the moderate range than older people's. If no high blood pressure exists, people with more android and gynoid fat mass have a lower risk of CVD or all-cause mortality.

Fat Mass is Associated with Subclinical Left Ventricular Systolic Dysfunction in Patients with Type 2 Diabetes Mellitus Without Established Cardiovascular Diseases.

Left ventricular global longitudinal strain (GLS) is considered to be the first marker of diabetes mellitus-related subclinical cardiac dysfunction, but whether it is attributable to fat mass and distribution remains uncertain. In this study, we explored whether fat mass, especially fat mass in the android area, is associated with subclinical systolic dysfunction before the onset of cardiac disease. We conducted a single-center prospective cross-sectional study between November 2021 and August 2022 on inpatients of the Department of Endocrinology, Nanjing Drum Tower Hospital. We included 150 patients aged 18-70 years with no signs, symptoms, or history of clinical cardiac disease. Patients were evaluated with speckle tracking echocardiography and dual energy X-ray absorptiometry. The cutoff values for subclinical systolic dysfunction were set at a global longitudinal strain (GLS) < 18%. After adjusting for sex and age, patients with GLS < 18% had a higher mean (± standard deviation) fat mass index (8.06 ± 2.39 vs. 7.10 ± 2.09kg/m2, p = 0.02), higher mean trunk fat mass (14.9 ± 4.9 vs. 12.8 ± 4.3kg, p = 0.01), and higher android fat mass (2.57 ± 1.02 vs. 2.18 ± 0.86kg, p = 0.02) than those in the GLS ≥ 18%. Partial correlation analysis showed that the fat mass index, truck fat mass, and android fat mass were negatively correlated with GLS after adjusting for sex and age (all p < 0.05). Adjusted for traditional cardiovascular metabolic factors, fat mass index (odds ratio [OR] 1.27, 95% confidence interval [CI] 1.05-1.55, p = 0.02), trunk fat mass (OR 1.13, 95% CI 1.03-1.24, p = 0.01), and android fat mass (OR 1.77, 95% CI 1.16-2.82, p = 0.01) were independent risk factors for GLS < 18%. Among patients with type 2 diabetes mellitus without established clinical cardiac disease, fat mass, especially android fat mass, was associated with subclinical systolic dysfunction independently of age and sex.

Serum Levels of Myonectin Are Lower in Adults with Metabolic Syndrome and Are Negatively Correlated with Android Fat Mass.

Myonectin has shown beneficial effects on lipid regulation in murine models; therefore, it may have implications in the pathophysiology of metabolic syndrome (MS). We evaluated the relationship between serum myonectin and serum lipids, global and regional fat mass, intramuscular lipid content, and insulin resistance (IR) in adults with metabolic risk factors. This was a cross-sectional study in sedentary adults who were diagnosed with MS or without MS (NMS). Serum myonectin was quantified by enzyme-linked immunosorbent assay, lipid profile by conventional techniques, and free fatty acids (FFA) by gas chromatography. Body composition was assessed by dual-energy X-ray absorptiometry and intramuscular lipid content through proton nuclear magnetic resonance spectroscopy in the right vastus lateralis muscle. IR was estimated with the homeostatic model assessment (HOMA-IR). The MS (n = 61) and NMS (n = 29) groups were comparable in age (median (interquartile range): 51.0 (46.0-56.0) vs. 53.0 (45.5-57.5) years, p > 0.05) and sex (70.5% men vs. 72.4% women). MS subjects had lower serum levels of myonectin than NMS subjects (1.08 (0.87-1.35) vs. 1.09 (0.93-4.05) ng·mL-1, p < 0.05). Multiple linear regression models adjusted for age, sex, fat mass index and lean mass index showed that serum myonectin was negatively correlated with the android/gynoid fat mass ratio (R2 = 0.48, p < 0.01), but not with the lipid profile, FFA, intramuscular lipid content or HOMA-IR. In conclusion, serum myonectin is lower in subjects with MS. Myonectin negatively correlates with a component relevant to the pathophysiology of MS, such as the android/gynoid fat mass ratio, but not with other components such as FFA, intramuscular fat or IR.

Gender Differences in Relation to Body Composition, Insulin Resistance, and Islet Beta Cell Function in Newly Diagnosed Diabetic or Pre-Diabetic Patients.

To assess the correlation between body components with insulin resistance (IR) and islet beta cell function in patients with newly diagnosed type 2 diabetes mellitus (T2DM) or pre-diabetes mellitus (pre-DM) and to explore whether this correlation differs in males and females. 111 newly diagnosed diabetic or pre-diabetic patients were recruited in this cross-sectional study. 75g oral glucose tolerance test was used to determine the diagnosis of DM or pre-DM. Homeostasis model assessment of insulin resistance (HOMA-IR) and glucose disposition index (DI30) was calculated to assess IR and islet beta cell function, respectively. Whole-body and regional lean mass (LM) and fat mass (FM) were obtained by dual-energy X-ray absorptiometry (DEXA). Partial correlation and multiple linear regression analyses were used to determine the associations between body composition, IR, and islet beta cell function. More body fat and appendicular fat was observed in female patients than in male, though with similar BMI. Legs fat % was negatively correlated with HOMA-IR, whereas legs lean % was positively associated with HOMA-IR in females (r = -0.673, p = 0.017; r =0.664, p = 0.018, respectively). The regression analysis showed that legs LM was positively correlated with HOMA-IR in females. However, in male patients, android FM was positively correlated with HOMA-IR (r = 0.462, p = 0.007), and trunk LM was negatively associated with DI30 (r = -0.458, p = 0.007). Nevertheless, no significant correlation was observed between body composition and islet beta cell function in female patients. Android FM was positively correlated with IR only in male patients but not in females. Besides, relative legs fat and LM were independently associated with IR in female patients but not in males. Further studies are needed to explore the underlying mechanism.

Multicomponent recreational team handball training improves global health status in postmenopausal women at the long term – A randomised controlled trial

ABSTRACT We studied the long-term effects of a multicomponent exercise training protocol (recreational team handball training, RTH) on global health status in inactive postmenopausal women. Participants (n = 45; age 65 ± 6 years, stature 157 ± 6 cm, body mass 66.2 ± 9.4 kg, fat mass 41.4 ± 5.5%, VO2peak 25.7 ± 3.6 mL/min/kg) were randomised into a control group (CG; n = 14) and a multicomponent exercise training group (EXG; n = 31, performing two to three weekly 60-min RTH sessions). Attendance was 2.0 ± 0.4 sessions/week (first 16 weeks) and 1.4 ± 0.5 (following 20 weeks) and mean heart rate (HR) loading was 77 and 79% of maximal HR (p = .002) for the first 16 and the following 20 weeks, respectively. Cardiovascular, bone, metabolic health, body composition and physical fitness markers were evaluated at baseline, and after 16 and 36 weeks. An interaction (p ≤ .046) was shown for the 2-h oral glucose tolerance test, HDL, Yo-Yo intermittent endurance level 1 test (YYIE1) and knee strength, in favour of EXG. At 36 weeks, YYIE1 and knee strength were higher (p ≤ .038) for EXG vs CG. Also, within-group improvements (p ≤ .043) were observed after 36 weeks for EXG in VO2peak, lumbar spine bone mineral density, lumbar spine bone mineral content, P1NP, osteocalcin, total cholesterol, HDL, LDL, body mass, android fat mass, YYIE1, knee strength, handgrip strength and postural balance. At 36 comparatively to 16 weeks, EXG showed an increase (p ≤ .036) in fasting blood glucose, HDL, knee strength and handgrip strength, and a decrease (p ≤ .025) in LDL. Collectively, this multicomponent exercise training (RTH) induces beneficial changes in global health status in postmenopausal women. Highlights We evaluated the long-term effects of a recreational team handball-based multicomponent training on broad-spectrum health and physical fitness markers of inactive postmenopausal women. Improvements in VO2peak and aerobic performance achieved after 16 weeks of training were maintained at 36 weeks. The 20-week extension of the training intervention resulted in further improvements in lipid profile markers and physical fitness variables. Recreational team handball could be suggested as an effective and safe strategy to counteract postmenopausal health-related constrains.

Effect of aerobic exercise and low-carbohydrate high-fat diet on glucose tolerance and android/gynoid fat in overweight/obese women: A randomized controlled trial.

The study was designed to compare the effects of weight loss induced by a low-carbohydrate-high-fat diet or a normal diet, with and without exercise, on glucose tolerance measured as area under the curve (AUC), and android (A) and gynoid (G) fat distribution. The study was registered at clinicaltrials.gov; NCT04100356. In total, 57 women classified as overweight or obese (age 40 ± 3.5years, body mass index 31.1 ± 2.6kg/m2) were randomly assigned and completed a 10-week intervention using a low-carbohydrate high-fat diet or a normal diet, with or without aerobic interval exercise. An equal deficit of 700kcal/day was prescribed, either restricting the diet only, or moderately restricting diet and including three 50-min high-intensity bicycle sessions per week. There were thus four groups: normal diet (NORM); low-carbohydrate-high-fat diet (LCHF); normal diet with exercise (NORM-EX); and low-carbohydrate-high-fat diet with exercise (LCHF-EX). Linear mixed models was used to assess differences between groups. With all groups pooled, the intervention resulted in a weight loss of 6.7 ± 2.5% (p < 0.001). The intervention did not result in differences between groups in AUC glucose, nor in fasting glucose or indicis for insulin resistance such as Homeostatic Model Assessment, Matsuda Insulin Sensitivity Index, insulinogenic index and disposition index. Post-intervention android fat was lower in LCHF than NORM (3,223 ± 727 vs. 2,533 ± 535g, p = 0.041). LCHF reached a lower A/G ratio than NORM (0.94 ± 0.12 vs. 1.04 ± 0.09, p = 0.011) and LCHF-EX (0.94 ± 0.12 vs. 1.09 ± 0.09, p < 0.001) after the intervention. LCHF resulted in lower android fat mass compared to NORM and the lowest A/G ratio compared to the other matched groups, but with no accompanying improvement in AUC glucose. In conclusion, although all groups achieved improvements in glucose tolerance, no superior effect was observed with the LCHF diet, neither with nor without exercise.

The relationship between obesity and bone mineral density in children and adolescents: analysis of the National Health and Nutrition Examination Survey.

This study observed the relationship between fat mass and distribution, and areal bone mineral density (aBMD) in children and adolescents. A retrospective study was conducted on US children and adolescents aged 8-19years. Whole body (less head) aBMD was evaluated. Height (Ht) adjusted Z-scores for aBMD were calculated. After controlling for age, gender, race, and lean body mass index (LBMI) Z-score, there were significant negative associations between fat mass index (FMI) Z-score and aBMD Ht-Z-adjusted Z-score (β = - 0.272, P < 0.001, R2 = 0.033). In the linear regression models with aBMD Ht-Z-adjusted Z-score as the dependent variable, the regression coefficients of android fat mass were - 0.241 (P < 0.05, R2 = 0.002), - 0.473 (P < 0.001, R2 = 0.036), and - 0.474 (P < 0.001, R2 = 0.038) for healthy weight, overweight, and obesity group, respectively. The regression coefficients of visceral adipose tissue (VAT) mass were - 0.218 (P > 0.05, R2 = 0.001), - 2.025 (P < 0.001, R2 = 0.044), and - 1.826 (P < 0.001, R2 = 0.039), and the regression coefficients of subcutaneous adipose tissue (SAT) mass were - 0.467 (P < 0.001, R2 = 0.004), - 0.339 (P < 0.01, R2 = 0.024), and - 0.347 (P < 0.001, R2 = 0.018) for healthy weight, overweight, and obesity group, respectively. The present study suggests that fat mass has a slightly negative association with bone development in children and adolescents. Trunk fat accumulation, especially visceral adipose tissue, was correlated with the lower level of aBMD. This association was obvious in overweight and obese children.

Investigation of associations of European, African, Amerindian genomic ancestries and MC4R, FTO, FAIM2, BDNF loci with obesity-related traits in Rio de Janeiro, Brazil.

A complex web of causation is involved in adiposity, including environmental, social and genetic factors. We aimed to investigate associations between genetic factors such as ancestry and single nucleotide polymorphisms, and obesity-related traits in a sampled Brazilian population. A sample of 501 unrelated adults participating in 2013 at the longitudinal Pró-Saúde Study (EPS) in Rio de Janeiro, Brazil was selected. We analysed 46 AIM-InDels (insertion/deletion) as genetic ancestry markers and four single nucleotide polymorphisms located in the genes MC4R (rs17782313), FTO (rs9939609), FAIM2 (rs7138803) and BDNF (rs4074134), previously described as associated with obesity. The selected obesity-related markers were anthropometric parameters such as body mass index, waist circumference and waist-to-hip ratio, and body composition measurements namely body fat percentage, android fat mass and gynoid fat mass. The sample showed greater European ancestry (57.20%), followed by African (28.80%) and lastly Amerindian (14%). Our results suggest that the rs4074134 (BDNF) CC genotype was directly associated with gynoid fat mass, whereas body fat percentage, android fat mass and the anthropometric parameters seem not to be associated with neither ancestry nor the four polymorphisms in this population sample, most likely due to a stronger role of social, behavioural and environmental determinants.

The association of fasting plasma thiol fractions with body fat compartments, biomarker profile, and adipose tissue gene expression

People with high plasma total cysteine (tCys) have higher fat mass and higher concentrations of the atherogenic apolipoprotein B (apoB). The disulfide form, cystine, enhanced human adipogenesis and correlated with total fat mass in a Middle-Eastern cohort. In 35 European adults with overweight (88.6% women) and with dual-X-ray absorptiometry measurements of regional fat, we investigated how cystine compared to other free disulfides in their association with total regional adiposity, plasma lipid and glucose biomarkers, and adipose tissue lipid enzyme mRNA (n = 19). Most total plasma homocysteine (tHcy) (78%) was protein-bound; 63% of total glutathione (tGSH) was reduced. tCys was 49% protein-bound, 30% mixed-disulfide, 15% cystine, and 6% reduced. Controlling for age and lean mass, cystine and total free cysteine were the fractions most strongly associated with android and total fat: 1% higher cystine predicted 1.97% higher android fat mass (95% CI 0.64, 3.31) and 1.25% (0.65, 2.98) higher total fat mass (both p = 0.005). A positive association between tCys and apoB (β: 0.64%; 95% CI 0.17, 1.12%, p = 0.009) was apparently driven by free cysteine and cystine; cystine was also inversely associated with the HDL-associated apolipoprotein A1 (β: −0.57%; 95% CI −0.96, −0.17%, p = 0.007). No independent positive associations with adiposity were noted for tGSH or tHcy fractions. Plasma cystine correlated with CPT1a mRNA (Spearman’s r = 0.68, p = 0.001). In conclusion, plasma cystine—but not homocysteine or glutathione disulfides—is associated with android adiposity and an atherogenic plasma apolipoprotein profile. The role of cystine in human adiposity and cardiometabolic risk deserves investigation. ClinicalTrials.gov identifiers: NCT02647970 and NCT03629392.

Concurrent Exercise Training: Long-Term Changes in Body Composition and Motives for Continued Participation in Women with Obesity.

The purpose of this project was to examine the effect of a concurrent exercise program (sprint interval training and resistance exercise) on body composition in women with obesity and factors associated with continued exercise participation following the program. Twenty women (37.1 ± 7.4 y, height = 1.63 ± 0.09 m, weight = 98.22 ± 0.22 kg, BMI = 34.2 ± 2.50 kg/m2) participated in a 10-week exercise intervention consisting of a sprint interval treadmill protocol and resistance training three times a week totaling 30 sessions. Body composition was measured by dual-energy X-ray absorptiometry (iDXA) at pretest, 12 weeks, and six months post-intervention. Semi-structured interviews assessed participants' perception of the program at both 12 weeks and six months. Participants significantly reduced fat mass (p &lt; 0.001), gynoid fat mass (p &lt; 0.010), android fat mass (p = 0.003), and visceral fat mass (p = 0.003) at 12 weeks post-test. At six months, participants maintained their reductions in fat mass (p = 0.015), visceral fat (p = 0.040) and gynoid fat mass (p = 0.032). There were no significant main time effects in lean mass (p = 0.099) or caloric intake (p = 0.053) at 12 weeks or six months. Themes that emerged from the semi-structured interviews at 12 weeks reflected enjoyment in the training, increases in competence and knowledge, as well as apprehension of continuing training on their own. At six months, themes that emerged reflected overcoming barriers, competence regarding high-intensity training, and a lack of competence to engage in resistance training. Sprint interval training coupled with resistance training is a feasible exercise protocol for women with obesity and results in reduced fat mass over six months. Improving women's competence for training is imperative for continued participation.

Longitudinal comparison of insulin resistance and dyslipidemia in children with and without perinatal HIV infection in South Africa.

HIV infection is associated with insulin resistance and dyslipidaemia driven by HIV-associated immune dysregulation and antiretroviral therapy (ART). Children living with perinatally acquired HIV (CHIV) face many decades of exposure to these factors. We evaluated the longitudinal trajectory of insulin resistance and dyslipidaemia in CHIV and HIV-exposed uninfected children (CHEU), compared with children HIV-unexposed (CHU). Four hundred and eighty-five children (141 CHIV, 169 CHEU, 175 CHU) aged 5-16 years, previously part of CHER and P1060 trials, were followed annually at Tygerberg Children's Hospital, South Africa. The primary outcome was Homeostatic Model Assessment of Insulin Resistance (HOMA-IR). Secondary outcomes included low-density lipoprotein (LDL) cholesterol, triglyceride-to-HDL ratio, android fat mass and SBP. Outcomes were evaluated using linear mixed effects models, adjusting for potential confounders. CHIV had 73% greater HOMA-IR than CHU in ages 6-8 years (95% CI 15.9-158.2%, P < 0.001), and 24.7% greater HOMA-IR than CHU in ages 9-10 years (0.3-55.1%, P = 0.04). By 10-11 years, the difference was not significant (P = 0.161). Longitudinally, triglyceride-to-HDL was 47.94% (34.50-62.73%, P < 0.001) higher in CHIV vs. CHU; LDL was 0.25 mmol/l (0.10-0.39, P = 0.001) higher in CHIV vs. CHU; android fat mass was 11.57% (-21.11 to -0.87%, P = 0.035) lower in CHIV than CHU. No significant difference in SBP was found. CHEU and CHU had similar outcomes. Early-treated CHIV have elevated insulin resistance, which resolves with time. Triglyceride-to-HDL ratio and LDL cholesterol were elevated into puberty. CHIV should be monitored for insulin resistance, dyslipidaemia and subclinical cardiovascular disease.

Adiposity in the older population and the risk of dementia: The Rotterdam Study.

We determined associations of total and regional adiposity with incident dementia among older adults. Within the population-based Rotterdam Study, adiposity was measured as total, android, and gynoid fat mass using dual-energy X-ray absorptiometry in 3408 men and 4563 women, every 3 to 6 years between 2002 and 2016. Incident dementia was recorded until 2020. Higher adiposity measures were associated with a decreased risk of dementia in both sexes. After excluding the first 5 years of follow-up, only the association of gynoid fat among women remained significant (hazard ratio 0.85 [95% confidence interval 0.75-0.97] per standard deviation increase). No major differences in trajectories of adiposity measures were observed between dementia cases and dementia-free controls. Higher total and regional fat mass related to a decreased risk of dementia. These results may be explained by reverse causality, although a protective effect of adiposity cannot be excluded. Total and regional adiposity were assessed using dual-energy X-ray absorptiometry scans in 7971 older adults. All adiposity measures were associated with a decreased risk of dementia. The results suggest a beneficial effect of gynoid fat on the risk of dementia in women. Reverse causation and competing risk may explain these inverse associations.