Gynoid Fat Mass Research Articles

8740 Visceral Adipose Tissue Assessment in Patients With Mild Autonomous Cortisol Secretion Using Dual-Energy X-Ray Absorptiometry: A Cross-Sectional Study

Abstract Disclosure: J. Saini: None. C.D. Zhang: None. V. Fell: None. E. Atkinson: None. S. Achenbach: None. I. Bancos: None. Background: Several studies employing computed tomography (CT) scans for body composition measurements have reported lower muscle mass and a higher proportion of visceral fat in patients with mild autonomous cortisol secretion (MACS) compared to referent subjects. While a CT scan assesses visceral adipose tissue (VAT) at a single slice level (L3), no studies have evaluated the overall VAT in patients with MACS using Dual-Energy X-ray absorptiometry (DXA). Objective: To determine the impact of MACS on VAT using DXA scan as compared to referent subjects. Methods: We conducted a single-center cross-sectional study of adults with 75 MACS and 75 referent subjects. MACS was defined as serum cortisol>1.8 mcg/dL after 1 mg dexamethasone suppression test in patients with adrenal adenomas and no features of overt hypercortisolism. Referent subjects were included if they had abdominal imaging and had no adrenal disorders. All the participants underwent a full body DXA scan between 04/2019 and 07/2022. We applied the CoreScan software to estimate the (1) total lean and fat mass (2) visceral fat mass and volume (3) lean android, fat android, and android mass, and compared measurements of patients and referent subjects using linear regression models adjusted for sex and BMI. Results: A total of 75 patients with MACS (median age 57.0 years, IQR 47.8-65.6, 67% women) and 75 referent subjects (median age 57.6 years, IQR 49.1-65.8, 67% women) were included. Patients had a higher BMI compared to referent subjects (median 31.7 kg/m2, IQR 27.4-37.9 vs 28.7, IQR, 25.4-33.8, P=0.004). The median post-DST cortisol in patients was 3.1 mcg/dL (IQR, 2.2-5.2). When compared to referent subjects, and after adjustment for sex and BMI, patients had a similar total body fat (estimate=846, p-value=0.28) and lean mass (estimate=-201, p-value=0.83), similar android fat mass (estimate=59, p-value=0.64) but lower gynoid fat mass (estimate=400, 0.007). Notably, sex and BMI-adjusted analysis also showed that patients had a higher VAT fat mass (estimate= -225, p-value=0.084) and a higher VAT fat mass/total mass ratio (estimate= -0.007, p-value=0.026). Conclusions: When adjusted for BMI and sex, patients with MACS do not demonstrate differences in overall fat and lean mass. However, we showed that MACS is associated with increased visceral adiposity, a known cardiovascular risk factor. Body composition assessment by DXA could be a safer and less expensive alternative in the evaluation and follow-up of patients with MACS. Presentation: 6/2/2024

The Subcutaneous Adipose Microenvironment as a Determinant of Body Fat Development in Polycystic Ovary Syndrome.

Adipose steroid metabolism modifies body fat development in polycystic ovary syndrome (PCOS). To determine whether subcutaneous (SC) abdominal adipose aldo-keto reductase 1C3 (AKR1C3; a marker of testosterone generation) is increased in normal-weight women with PCOS vs age- and body mass index (BMI)-matched normoandrogenic ovulatory women (controls) and is related to SC abdominal adipose activator protein-1 (AP-1; a marker of adipocyte differentiation) and/or androgen receptor (AR) protein expression in predicting fat accretion. Prospective cohort study. Academic center. Eighteen normal-weight PCOS women; 17 age- and BMI-matched controls. Circulating hormone/metabolic determinations, intravenous glucose tolerance testing, total body dual-energy x-ray absorptiometry, SC abdominal fat biopsy, immunohistochemistry. Clinical characteristics, hormonal concentrations, body fat distribution, SC adipose AKR1C3, AR, and AP-1 protein expression. Women with PCOS had significantly higher serum androgen levels and greater android/gynoid fat mass ratios than controls. SC adipose AKR1C3, AR, and AP-1 protein expressions were comparable between the study groups, but groups differed in correlations. In PCOS women vs controls, SC adipose AKR1C3 protein expression correlated positively with android and gynoid fat masses and negatively with SC adipose AP-1 protein expression. SC adipose AR protein expression correlated negatively with fasting serum free fatty acid and high-density lipoprotein levels. In both study groups, SC adipose AKR1C3 protein expression negatively correlated with serum cortisol levels. In normal-weight PCOS women, SC abdominal adipose AKR1C3 protein expression, in combination with intra-adipose AP-1 and AR-dependent events, predicts fat accretion in the presence of physiological cortisol levels.

Glucose Variability in People with Type 1 Diabetes: Associations with Body Weight, Body Composition, and Insulin Sensitivity.

The prevalence of overweight and obesity increases in people with type 1 diabetes (T1D). However, the impact of fat accumulation on glucose dynamics in T1D is poorly understood. We assessed continuous glucose monitoring (CGM) parameters in patients with T1D depending on their body weight, body composition, and insulin sensitivity. In 547 patients, including 238 overweight/obese individuals, CGM-derived time in range (TIR) and glucose variability (GV) were estimated. Body composition was assessed by DXA. Estimated glucose disposal rate (eGDR) was used as an indicator of insulin sensitivity. Overweight/obese patients, when compared to normal-weight ones, have a lower time below range (TBR) (<3 mmol/L), GV, and experienced fewer episodes of low glucose. In men, lower TIR, higher time above range (TAR), and GV reduction were associated with central adiposity assessed by total, trunk, and android fat mass. In women, gynoid fat mass only was associated with a lower TIR and higher TAR. The eGDR was a positive predictor of TIR and a negative predictor of TAR, TBR, and GV in men and women. In conclusion, adiposity in people with T1D is associated with a lower risk of CGM-confirmed hypoglycemia, higher TAR, and reduced GV. These features of daily glucose dynamics may be mediated by insulin resistance.

Type 2 diabetes: is obesity for diabetic retinopathy good or bad? A cross-sectional study

BackgroundThe relationship between obesity and diabetic retinopathy (DR) remains controversial, and the relationship between sarcopenic obesity and DR is still unclear. The purpose of this study is to investigate the relationship between obesity, sarcopenic obesity, and DR in patients with type 2 diabetes mellitus (T2DM).MethodsA cross-sectional study was conducted on patients with T2DM. Obesity was assessed by body mass index (BMI), fat mass index (FMI), android fat mass, gynoid fat mass, and visceral adipose tissue (VAT) mass. Sarcopenia was defined according to the criteria of Consensus of the Asian Working Group for Sarcopenia (AWGS 2019). Sarcopenic obesity was defined as the coexistence of sarcopenia and obesity. The association between obesity, sarcopenic obesity, and DR was examined using univariable and multivariable logistic regression models.ResultsA total of 367 patients with T2DM (mean age 58.3 years; 57.6% male) were involved in this study. The prevalence of DR was 28.3%. In total patients, significant adverse relationships between obesity and DR were observed when obesity was assessed by BMI (adjusted odds ratio [aOR] 0.54, 95% confidence interval [CI] 0.31 to 0.96, p = 0.036), FMI (aOR 0.49, 95% CI 0.28 to 0.85, p = 0.012), android fat mass (aOR 0.51, 95% CI 0.29 to 0.89, p = 0.019), gynoid fat mass (aOR 0.52, 95% CI 0.30 to 0.91, p = 0.021) or VAT mass (aOR 0.45, 95% CI 0.25 to 0.78, p = 0.005). In patients with T2DM and obesity, the prevalence of sarcopenic obesity was 14.8% (n = 23) when obesity was assessed by BMI, 30.6% (n = 56) when assessed by FMI, 27.9% (n = 51) when assessed by android fat mass, 28.4% (n = 52) when assessed by gynoid fat mass, and 30.6% (n = 56) when assessed by VAT mass. Sarcopenic obesity was associated with DR when obesity was assessed by BMI (aOR 2.61, 95% CI 1.07 to 6.37, p = 0.035), android fat mass (aOR 3.27, 95% CI 1.37 to 7.80, p = 0.007), or VAT mass (aOR 2.50, 95% CI 1.06 to 5.92, p = 0.037).ConclusionsPatients with T2DM showed a substantial inverse relationship between DR and obesity, and sarcopenic obesity was considerably favorably associated with DR. Detection of sarcopenia in patients with T2DM, especially in obese T2DM, is essential to guide clinical intervention in DR.

Full-body resistance training promotes greater fat mass loss than a split-body routine in well-trained males: A randomized trial.

While significant progress has been made in understanding the resistance training (RT) strategy for muscle hypertrophy increase, there remains limited knowledge about its impact on fat mass loss. This study aimed to investigate whether full-body is superior to split-body routine in promoting fat mass loss among well-trained males. Twenty-three participants were randomly assigned to 1 of 2 groups: full-body (n=11, training muscle groups 5days per week) and split-body (n=12, training muscle groups 1day per week). Both groups performed a weekly set volume-matched condition (75 sets/week, 8-12 repetition maximum at 70%-80 % of 1RM) for 8weeks, 5days per week with differences only in the routine. Whole-body and regional fat were assessed using DXA at the beginning and at the end of the study. Full-body RT elicited greater losses compared to split-body in whole-body fat mass (-0.775±1.120kg vs. +0.317±1.260kg; p=0.040), upper-limb fat mass (-0.085±0.118kg vs. +0.066±0.162kg; p=0.019), gynoid fat mass (-0.142±0.230kg vs. +0.123±0.230kg; p=0.012), lower-limb fat mass (-0.197±0.204kg vs. +0.055±0.328kg; p=0.040), and a trend in interaction in android fat mass (-0.116±0.153kg vs. +0.026±0.174kg; p=0.051), with large effects sizes (η2 p≥0.17). This study provides evidence that full-body is more effective in reducing whole-body and regional fat mass compared to split-body routine in well-trained males.

Pattern of body fat distribution in patients of PCOS using DEXA-based indices

BackgroundConsidering the close link between polycystic ovary syndrome (PCOS) and metabolic syndrome considerable research has been devoted to studying the pattern of fat distribution in PCOS.ObjectivesThe study aims to assess the usefulness of dual-energy X-ray absorptiometry (DEXA) based regional fat distribution indices as a predictor of the development of PCOS.MethodsThis case–control study recruited diagnosed cases of PCOS using Rotterdam Criteria (cases n = 86) and healthy age-matched controls (n = 90). DEXA was performed in both groups for assessment of total and regional body fat distribution after undergoing ultrasonography (USG) and baseline/biochemical evaluation.ResultsThe study revealed a significant difference between cases and controls in trunk fat percentage (40.2% ± 9.1% vs 26.5% ± 9.1%; p < 0.001), android fat percentage (42.4% ± 41%vs 27.8% ± 1.51%; p < 0.001), total fat percentage (43.8% ± 8% vs28.5% ± 1.6%; p < 0.001), fat mass/ht2 (fat mass index) (8.82 ± 3% vs 4.8 ± 1.7%; p < 0.001), android/gynoid ratio (1.05 ± 0.1 vs 0.7 ± 0.2; p < 0.001), and trunk/limb fat mass ratio (1.06 ± 0.3 vs 0.69 ± 0.3; p 0.001). Multivariate analysis revealed a significant relation of trunk fat mass with android % fat, gynoid fat mass, and android-gynoid ratio.ConclusionsThe study demonstrates that there is a central pattern of fat distribution in patients with PCOS while the overall fat might not be increased which is well analyzed by DEXA. Hence, we suggest its use in the initial diagnostic workup and follow-up of PCOS patients for their body fat distribution and content.

Effect of combined physical exercise on inflammatory markers and the relationship with body composition in young women

ObjectivesTo evaluate the effect of eight weeks of combined physical exercise of moderate intensity on inflammatory markers, as well as its relationship with body composition in young women recently admitted to a Public Institution of Higher Education. MethodsLongitudinal, intervention study, in which 59 female participants aged 18–25 years were evaluated before and after a combined physical exercise program for eight weeks. Blood samples were collected before and after the intervention for analysis of C-reactive protein and inflammatory cytokines. Weight and height were measured to calculate body mass index and body composition was evaluated by Dual Energy X-Ray Absorptiometry before and after the intervention. Statistical analyzes performed were t-test, Willcoxon test and Spearman's correlation. This study was approved by the Human Research Ethics Committee and the Free and Informed Consent Form was signed by all participants. ResultsAfter the intervention, there was a reduction in the pro-inflammatory cytokines (IL-1β, IL-6, TNF and IL-12), while the anti-inflammatory (IL-10) and CRP did not change; reduction in the total body gynoid fat mass and in the percentage of body fat; increased trunk and total muscle mass. Body composition was negatively correlated with the pro-inflammatory interleukins IL-1β and IL-6 and positively correlated with CRP. ConclusionsCombined physical exercise for eight weeks acted to reduce pro-inflammatory cytokines, fat mass and increase in muscle mass. Inflammatory markers correlated with body fat before the intervention, suggesting the participation of visceral adipose tissue in the release of these markers in female university students.

Body composition and respiratory outcomes in children: a population-based prospective cohort study

BackgroundBody composition might influence lung function and asthma in children, but its longitudinal relations are unclear. We aimed to identify critical periods for body composition changes during childhood and adolescence...

Cardiometabolic Effects of Denosumab in Premenopausal Women With Breast Cancer Receiving Estradiol Suppression: RCT.

Menopause is associated with changes in musculoskeletal, body composition, and metabolic parameters that may be amplified in premenopausal women receiving estradiol suppression for breast cancer. Denosumab offsets deleterious skeletal effects of estradiol suppression and has been reported to have effects on body composition and metabolic parameters in preclinical and observational studies, but evidence from double-blind randomized controlled trials is limited. To assess the effect of denosumab on body composition and metabolic parameters. In a prespecified secondary analysis of a 12-month randomized, double-blind, placebo-controlled trial, 68 premenopausal women with breast cancer initiating ovarian function suppression and aromatase inhibition were randomized to denosumab 60-mg or placebo administered at baseline and 6 months. Outcome measures were total and regional fat and lean mass (DXA), body mass index (BMI), waist and hip circumference, fasting glucose, HOMA-IR, and lipid profile. Using a mixed model, between-group mean adjusted differences over time are reported. Over 12 months, relative to placebo, android and gynoid fat mass decreased in the denosumab group (-266 g [95% CI -453 to -79], P = .02, and -452 g [-783 to -122], P = .03, respectively). Total fat mass and waist circumference were lower in the denosumab group but not significantly (-1792 g [-3346 to -240], P = .08 and (- 3.77 cm [-6.76 to -0.79], P = .06, respectively). No significant treatment effects were detected in lean mass, BMI, hip circumference, fasting glucose, HOMA-IR, or lipid profile. In premenopausal women receiving estradiol suppression, denosumab decreases some measures of fat mass with no detectable effects on other measures of body composition or metabolic parameters.

Effect of Chiglitazar and Sitagliptin on Bone Mineral Density and Body Composition in Untreated Patients with Type 2 Diabetes.

To evaluate the changes in bone mineral density (BMD) and body composition in untreated patients with type 2 diabetes mellitus (T2DM) before and after chiglitazar or sitagliptin treatment. A total of 81 patients with T2DM were randomly divided to receive chiglitazar or sitagliptin treatment for 24 weeks (54 in the chiglitazar group and 27 in the sitagliptin group). We measured the spine lumbar BMD, hip BMD, fat mass (FM), fat-free mass (FFM), percent body fat (%BF), android FM, gynoid FM and skeleton muscle mass (SMM) using dual-energy X-ray absorptiometry (DEXA) and examined serum adiponectin (ADP) levels at baseline and the end of the study. There were no significant changes in the BMD of the L2-4, femoral neck, trochanter or total hip as well as in the BMC after 24 weeks of treatment with chiglitazar or sitagliptin. After chiglitazar administration, the FM, gynoid FM and gynoid to total FM ratio were higher, while the android to total FM ratio and the android to gynoid FM ratio (AOI) were significantly lower. Sitagliptin intervention did not result in statistically significant differences in total fat loss, but it did cause significant decreases in %BF and AOI as well as increases in the FFM, gynoid to total FM ratio and SMM. The ADP levels had significantly negative associations with AOI in all eligible patients. The chiglitazar had no deleterious effects on BMD and resulted in body fat redistribution in untreated patients with T2DM. The trial is registered at ClinicalTrials.gov (CT.gov identifier: NCT02173457).

Association of body fat distribution with all-cause and cardiovascular mortality in US adults: a secondary analysis using NHANES

ObjectiveTo investigate the association of fat and lean mass in specific regions with all-cause and cardiovascular-related mortality.DesignPopulation based cohort study.SettingUS National Health and Nutrition Examination Survey (2003–2006 and 2011–2018).Participants22 652...

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&amp;gt;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...

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.

Gender-specific impacts of thigh skinfold thickness and grip strength for predicting osteoporosis in type 2 diabetes

BackgroundDiabetes with co-existing bone fragility or osteoporosis is common in elderly patients, whereas is frequently underestimated.MethodsWe conducted dual-energy x-ray absorptiometry (DXA) with 7-site skinfold (SF) and dominant hand grip strength measurements among patients with type 2 diabetes (T2DM) to assess their gender-specific associations. A total of 103 patients with T2DM (60 females and 43 males), aged between 50 and 80 years (median 68.0 years) were enrolled and 45 non-DM females were also included to compare with T2DM females.ResultsOur results revealed osteoporosis was negatively correlated with grip strength in both genders, negatively correlated with lean mass solely in males and negatively correlated with fat mass (particular the gynoid fat mass and thigh SF thickness) in females. Via performing multivariable stepwise logistic regression, we identified grip strength in both genders and thigh SF thickness in females as predictors for osteoporosis. Receiver operating characteristic curve analysis further disclosed 20.5 mm female thigh skinfold thickness, 18.1 kg female grip strength and 29.0 kg male grip strength as reasonable cutoff levels for predicting osteoporosis in the Taiwanese patients with T2DM.ConclusionsPatients with T2DM presented gender-specific associations between osteoporosis, body composition and grip strength. Grip strength and thigh SF thickness might serve as predictors for detection of osteoporosis in patients with T2DM.

CHARACTERISTICS OF FAT MASS, LEAN MASS, AND BONE MINERAL DENSITY BY DUAL-ENERGY X-RAY ABSORPTIOMETRY IN PEOPLE OVER 40 YEARS OLD WITH METABOLIC SYNDROME

Objectives: To determine the composition of lean mass (LM), fat mass (FM), and bone mineral density by Dual-energy X-ray absorptiometry (DXA) in people over 40 years old with metabolic syndrome (MetS). Subjects and methods: A cross-sectional study on 199 subjects with or without MetS (defined by the 2005 update NCEP ATP III criteria) who were examined and treated at Hai Phong Medical University Hospital from 2017 to 2022. The composition of LM, FM and bone mineral density were measured using DXA. Results: Total FM, total LM in individuals with MetS were higher than those in non-MetS (p &lt; 0.01). FM regions (trunks, android, arms) and A/G FM ratio, LM regions (trunks, android, gynoid), and FM% regions (trunks, android) of MetS subjects were higher than those without MetS (p &lt; 0.01). Nevertheless, legs FM, legs FM%, arms FM%, gynoid FM%, total FM %, legs LM, and arms LM were not different between both groups (p &gt; 0.05). The bone mineral density (BMD) of people with MetS was higher than that of subjects without MetS (p &lt; 0.05) at several positions: ribs and arms, however, stratified by BMI, there was no significant difference in BMD (p &gt; 0.05). Conclusion: Total LM and total FM in MetS subjects were higher than in non-MetS. FM regions (arms, android, trunks) and A/G FM ratio, LM regions (trunks, android, gynoid), and FM% regions (trunks, android) of MetS subjects were higher than those without MetS. Total and regional BMD (ribs, arms) of MetS subjects were higher than those without MetS. However, there was no difference in BMD stratified by BMI between the two groups.

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.

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.

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.