Body Adiposity Parameters Research Articles

Relationship between body adiposity parameters and insulin resistance: a preliminary study of surrogate markers in Japan.

According to the Japan National Health and Nutrition Survey 2019, the proportion of people with prediabetes is estimated to be 27.3%. Western-style dietary habits can lead to obesity and a functional abnormality of the adipose tissue, which can cause insulin resistance and predispose one to diabetes. We examined the relationship between insulin resistance using body adiposity parameters as surrogate markers. This study enrolled 248 healthy participants to determine the association of six body adiposity parameters, namely, body mass index (BMI), waist circumference (WC), visceral adiposity index (VAI), lipid accumulation product index (LAP), waist circumference-triglyceride index (WTI), and triglyceride (TG)/high-density lipoprotein (HDL) ratio with insulin resistance. Receiver operating characteristics curve analyses were performed to assess the accuracy of these parameters in identifying insulin resistance. The data of the 248 participants (women 79 and men 169) were examined in this study. WC showed the highest accuracy in the obese women group (cut-off value: 89.8 with sensitivity: 0.900 and specificity: 0.522, AUC: 0.680) and men group (cut-off value: 90.0 with sensitivity: 0.862 and specificity: 0.508, AUC: 0.701). The TG/HDL ratio showed the highest accuracy in men with non-obesity (cut-off value: 0.8 with sensitivity: 0.857 and specificity: 0.649, AUC: 0.780). Application of this finding should be useful in the early screening of obesity in men with non-obesity, such as during regular health check-up with the TG/HDL ratio in addition to the usually used WC, to assess insulin resistance and prevent lifestyle-related diseases that can lead to cardiovascular events.

Cardiorespiratory Fitness Cut-Points Related to Body Adiposity Parameters in Macedonian Children

Background and Objectives: There is a shortage of criteria referent standards for tests of logistic application meant to estimate the cardiorespiratory fitness (CRF) of children and adolescents in the Republic of North Macedonia. The goal of the research was twofold: (1) To identify the ability of CRF estimated by the 20-m shuttle-run test (20mSRT) to discriminate between “healthy” and “unhealthy” phenotypes (by adiposity measures such as WC and WHR) in children; (2) To determine the correlation between obesity and relatively maximum oxygen consumption (VO2 peak) tested on a relatively large respondents’ sample of Macedonian children. The research was conducted on a sample of 1,863 respondents, 957 (51.4%) of whom were boys, and 906 (48.6%) were girls at the age of 7 to 10 years. All of them were from 19 primary schools in the central and eastern parts of the Republic of North Macedonia. 
 Materials and Methods: The waist circumference (WC) and waist-to-height ratio (WHtR) were used to identify body adiposity markers. CRF was measured using the 20mSRT (VO2 peak). Receiver operating characteristic curves and logistic regression were applied in order to establish the discriminative power of CRF in anticipating the parameters of body adiposity markers. 
 Results: With regard both to the boys and girls, VO2 peak showed considerable predictive power of identifying the body adiposity (area under the curve [AUC] > 0.66). In boys, when considering the full sample (7-10 years), the best cut-point for VO2 peak to detect body fat by WC were 48.8 to mL•kg−1•min−1 and WHtR were 47.4 to mL•kg−1•min−1. For girls, when considering the full sample (7-10 years), the best cut-point to detect body fat by WC were 47.4 to mL•kg−1•min−1 and WHtR were 47.1 to mL•kg−1•min−1. 
 Conclusions: According to these cut-points, adolescents with low CRF were more likely to be obese either by WC or WHtR. The border values (cut-points) of CRF can be used as quantitative markers of children of healthier body characteristics from the Republic of North Macedonia.

Effects of probiotics on body adiposity and cardiovascular risk markers in individuals with overweight and obesity: A systematic review and meta-analysis of randomized controlled trials

Evidence suggests that gut microbiota is a potential factor in the pathophysiology of both obesity and related metabolic disorders. While individual randomized controlled trials (RCTs) have evaluated the effects of probiotics on adiposity and cardiovascular disease (CVD) risk factors in subjects with overweight and obesity, the results are inconsistent. Thus, this systematic review and meta-analysis aimed to evaluate the effects of probiotic supplementation on body weight, body adiposity and CVD risk markers in overweight and obese subjects. A systematic search for RCTs published up to December 2020 was conducted in MEDLINE (via PubMed), EMBASE, Scopus and LILACS. Meta-analysis using a random-effects model was chosen to analyze the impact of combined trials. Twenty-six RCTs (n=1720) were included. Data pooling showed a significant effect of probiotics in reducing body weight (MD:-0.70kg; 95%CI:-1.04,-0.35kg; P<0.0001), body mass index (BMI) (MD:-0.24kg/m2; 95%CI:-0.35,-0.12kg/m2; P=0.0001), waist circumference (WC) (MD:-1.13cm; 95%CI:-1.54,-0.73cm; P<0.0001), fat mass (MD:-0.71kg; 95%CI:-1.10,-0.32kg; P=0.0004), tumor necrosis factor-α (MD:-0.16pg/ml; 95%CI:-0.24,-0.08pg/ml; P=0.0001), insulin (MD:-0.85mcU/ml; 95%CI:-1.50,-0.21mcU/ml; P=0.010), total cholesterol (MD:-0.16mmol/l; 95%CI:-0.26,-0.05mmol/l; P=0.003) and LDL (MD:-0.09mmol/l; 95%CI:-0.16,-0.03mmol/l; P=0.006) compared with control groups. There was a significant decrease in body weight, BMI and WC in studies using both single and multi-bacterial species. Decreases in body adiposity parameters were only observed in studies using a probiotic dose of ≥ 1010CFU and for ≥8 weeks duration. The present meta-analysis suggests that probiotics consumption may be helpful for improving body weight, body adiposity and some CVD risk markers in individuals with overweight and obesity. The review was registered on PROSPERO (International prospective register of systematic reviews): CRD42020183136.

The Effect of Physical Activity Level and Body Adiposity on Fatty Infiltration of the Lumbar Multifidus in Apparently Healthy Individuals From an Urban African Setting

Background: Spine stability or core stability exercises are among the most recommended interventions in low back pain management. It is important to clarify whether physical activity and body adiposity affect lumbar muscle multifidus (LMM) among apparently healthy adults. Objectives: The current study aimed at investigating the effect of physical activity level (PAL) and body adiposity on fatty infiltration of LMM in apparently healthy individuals from an urban African setting. Methods: Fatty infiltration of LMM was visually graded as normal, slight, and severe using diagnostic ultrasound. Validated Hausa and English versions of IPAQ were employed to analyze PAL, and the bioelectrical impedance analysis machine was used to measure some of the body adiposity parameters and weight. Results: A slight fatty infiltration of LMM was observed in 40.3% of 196 participants. Slight fatty infiltration of LMM had a higher prevalence in female subjects (39.2%) than males (34.2%). Only two variables of age (P = 0.032; r = 0.153) and visceral fat (P = 0.0001; r = 0.308) had a relationship with fatty infiltration of LMM. Conclusions: Fatty infiltration of LMM was positively associated with visceral fat and weakly with age among the participants. However, fatty infiltration of LMM had no relationship with the PAL.

High levels of adiponectin attenuate the detrimental association of adiposity with insulin resistance in adolescents

Background and aimThis study aimed to: i) examine the differences in insulin resistance (IR) across adiposity levels; and ii) ascertain whether high levels of adiponectin attenuate the detrimental association of adiposity with IR in adolescents. Methods and resultsA total of 529 adolescents aged 12–18 years participated in this cross-sectional study (267 girls). Anthropometry and body adiposity parameters [body mass index (BMI), sum of skinfolds, body fat percentage (BF %) by bio-impedance analysis and waist circumference (WC)], were measured according to standardized procedures and categorized into age- and sex-specific quartiles. Socioeconomic status, pubertal stage and lifestyle determinants (Mediterranean diet adherence and cardiorespiratory fitness) were gathered and used as confounders. Serum adiponectin and IR (homeostasis model assessment of insulin resistance [HOMA-IR] estimated from fasting serum insulin and glucose were assessed. Analysis of covariance (ANCOVA) showed that HOMA-IR increased in a linear fashion throughout the quartiles of all adiposity measures (p < 0.001 for all), independently of age, sex, pubertal stage, socioeconomic status, adherence to the Mediterranean diet and cardiorespiratory fitness. Two-way ANCOVA showed that adolescents in the higher quartile of adiposity for BF%, BMI, WC and skinfolds sum (Q4) presented the highest adiponectin levels, and had 0.77 Standard Deviation (SD), 0.8 SD, 0.85 SD and 0.8 SD lower HOMA-IR, respectively (p < 0.01) than their low adiponectin group counterparts, after adjustments for potential confounders. ConclusionHigher adiponectin levels may attenuate the detrimental association between adiposity and IR, particularly in subjects with higher adiposity.

Cardiorespiratory Fitness Cut-Points are Related to Body Adiposity Parameters in Latin American Adolescents.

Background and Objectives: A deficiency exists in the criterion-referenced cut-points for field-based cardiorespiratory fitness (CRF) in Latin American youths. The aims of the present study were two-fold: (1) To identify the ability of CRF estimated by the 20-m shuttle-run test (20mSRT) to differentiate between “healthy” and “unhealthy” phenotypes (by adiposity) in adolescents; (2) to assess the association between obesity and relative peak oxygen uptake (VO2peak) in a large and diverse sample of Latin American youths. In total, 72,505 adolescents aged between 13 and 15 years were recruited from Chile and Colombia (47.5% girls). Materials and Methods: The waist circumference (WC) and waist-to-height ratio (WHtR) were used to identify body adiposity markers. CRF was measured using the 20mSRT (VO2peak). Receiver operating characteristic curves and logistic regression were used to determine the discriminatory ability of CRF to predict body adiposity parameters. Results: For boys and girls, VO2peak showed a significant predictive capacity to detect body fat (area under the curve [AUC] > 0.62). The sensitivity of VO2peak was medium (>63%) for all age- and sex-specific cut-points, with optimal cut-points in 13- to 15-year olds for obesity identified as 43.77 mL·kg−1·min−1 and 38.53 mL·kg−1·min−1 in boys and girls, respectively. Conclusions: According to these cut-points, adolescents with low CRF were more likely to be obese either by WC or WHtR. The CRF cut-points can be used as quantitative markers for a healthier body in Latin American adolescents.

Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study

BackgroundRational measures in estimating adiposity distribution in diabetic patients has yet to be validated. This study aims to provide insight about the possible links between routinely available body adiposity parameters and the development of both diabetes and insulin resistance.MethodsWe performed a population-based cross-sectional study in 9496 subjects aged 40 years or older. All of the body adiposity measures including body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), visceral adiposity index (VAI), body adiposity index (BAI) and lipid accumulation product index (LAP) were separately evaluated according to standard measurement methods. Diabetes was diagnosed according to the American Diabetes Association 2010 criteria.ResultsAll tested body adiposity measurements were significantly associated with fasting plasma glucose (FPG), oral glucose tolerance test (OGTT) 2 h glucose, HbA1c and fasting insulin. Compared with other adiposity phenotypes, LAP have shown the relatively strongest while BAI have shown the relatively weakest association with increased odds of both diabetes and insulin resistance across all logistic regression models. Additionally, LAP provided the best discrimination accuracy for diabetes [area under the curve (AUC): 0.658 95% confidence intervals (CI) 0.645–0.671] and insulin resistance (AUC: 0.781 95% CI 0.771–0.792) when compared with other body adiposity parameters.ConclusionsThe LAP index seems to be a better indicator than other adiposity measures tested in the study to evaluate the association of visceral fat mass with diabetes and insulin resistance, which should be given more consideration in the clinical practice.