Adiposity Index Research Articles

The effect of the COVID-19 pandemic lockdown on the distribution of fat tissue and skinfold thickness in adolescents from Kraków (Poland).

The COVID-19 pandemic has significantly changed the lifestyle and dietary habits of societies worldwide. The aim of the study was to assess changes in the distribution of fat tissue and skinfold thickness in adolescents (aged 11-15) from Kraków during the COVID-19 pandemic period. Two cross-sectional studies conducted in 2020 and 2022 (before and after the pandemic) involved 1662 adolescents from the Kraków population. Skinfold thickness measurements were taken. The trunk adiposity index, limbs-to-trunk fat ratio and limbs-to-total skinfold ratio were calculated. Statistical analysis employed a two-way ANOVA, Tukey's HSD test and the Kruskal-Wallis test, depending on the normality of the distribution. Higher skinfold thicknesses were observed in the majority of age groups in both sexes from the 2022 cohort in comparison with the 2020 cohort. Additionally, higher values of the trunk adiposity index and the limbs-to-total skinfold ratio in most age groups were observed. However, an inverse trend was observed in the limbs-to-trunk fat radio. The introduced restrictions such as lockdown, remote learning, reduced physical activity and changes in dietary habits could have influenced the distribution of fat tissue and skinfold thickness amongst adolescents from Kraków.

Prevalence and Predictors of Normal-Weight Obesity among Women.

The present study aimed to (a) assess normal-weight obesity (NWO) and general obesity prevalence among women of different ages residing in urban areas, (b) evaluate subcutaneous fat thickness (SFT) in women with NWO, (c) establish SFT cutoff points for distinguishing NWO, and (d) explore eating habits linked to NWO. This cross-sectional study with 184 women aged 18-65 with NWO, normal weight without obesity (NWNO), overweight and general obesity included evaluation of body composition, SFT assessment using 2.5 MHz A-mode ultrasound (ISAK protocol, 7 sites) and lifestyle inquiries. The curvilinear relationship between body fat and BMI rendered BMI an unreliable indicator of adiposity in women with normal weight (BMI < 25 kg/m2). Almost 30% of women with a high body fat percentage (BFP ≥ 30%) were misclassified when BMI was used to measure adiposity. The overall obesity prevalence defined by BFP was almost four times higher than that defined by BMI (56.0 vs. 18.0%, p = 1 × 10-4). Women with NWO, overweight and general obesity shared a similar SFT profile and eating habits, setting them apart from those with NWNO. The mean SFT was the most reliable NWO predictor, with a threshold set at 12 mm equal to the 66th percentile. Mean SFT accurately classified 85% of women with NWO. While age did not significantly affect subcutaneous fat accumulation, total fat levels increased with age (R2 = 0.07 and R2 = 0.19, padj = 0.1 and padj = 9 × 10-4). Higher NWO prevalence in middle-aged women was linked to age-related increase in fat mass and decrease in fat-free mass. Engaging in regular physical activity and reducing snack consumption effectively countered age-related changes in body composition (padj < 0.05). Women under 45 years who consumed sweet bakery items, fast food, and snacks more frequently showed higher BFP and NWO status (padj < 0.05). Prevention strategies should focus on monitoring body composition and promoting healthy behaviors, particularly among young women transitioning into adulthood and women over 45 years.

The association between visceral adipose accumulation and hyperuricemia risk among Chinese elder individuals: A nationwide prospective cohort study

BackgroundLipid accumulation product (LAP), visceral adiposity index (VAI) and Chinese visceral adiposity index (CVAI) are proposed indices of visceral adipose accumulation. This study aimed to explore their relationship and temporal changes with hyperuricemia (HUA) development in a Chinese population. MethodsA total of 4268 participants aged ≥45 years from the baseline survey of the China Health and Retirement Longitudinal Study were followed up for 4 years (from 2011 to 2015). The relationships among VAI, LAP, CVAI and HUA were analyzed using logistic regression. The predictive abilities of the VAI, LAP and CVAI for HUA were compared using receiver operating characteristic curves. Nonlinear relationships between the indices and HUA were analyzed using restricted cubic spline regression. ResultsDuring the four-year follow-up, 415 (9.72 %) patients experienced incident HUA . Elevated baseline VAI (odds ratio (OR): 1.19 (95 % confidence interval (95 %CI: 1.10, 1.29)), LAP (OR: 1.21 (95 % CI: 1.09, 1.34)) and CVAI (OR: 1.19 (95 % CI: 1.02, 1.40)) were significantly correlated with increased HUA risk (all P < 0.05). Compared to individuals with consistently low VAI,CVAIor LAP levels, those with elevated or consistently high levels of these indicators are more likely to have HUA. The area under curve (AUC) was slightly greater and more significant for the CVAI (AUC=0.641) than for the VAI (AUC=0.604) and LAP (AUC=0.628) (P < 0.05). ConclusionVAI, LAP and CVAI can predict HUA, with CVAI more efficient than VAI and LAP. Early management can lessen the burden of HUA in Chinese people aged 45 years or older with elevated CVAI levels.

Association between visceral adiposity index and incidence of diabetic kidney disease in adults with diabetes in the United States

Visceral adiposity index (VAI) is a reliable indicator of visceral adiposity. However, no stu-dies have evaluated the association between VAI and DKD in US adults with diabetes. Theref-ore, this study aimed to explore the relationship between them and whether VAI is a good pr-edictor of DKD in US adults with diabetes. Our cross-sectional study included 2508 participan-ts with diabetes who were eligible for the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. Univariate and multivariate logistic regression were used to an-alyze the association between VAI level and DKD. Three models were used to control for pot-ential confounding factors, and subgroup analysis was performed for further verification. A tot-al of 2508 diabetic patients were enrolled, of whom 945 (37.68%) were diagnosed with DKD. Overall, the VAI was 3.36 ± 0.18 in the DKD group and 2.76 ± 0.11 in the control group. VAI was positively correlated with DKD (OR = 1.050, 95% CI 1.049, 1.050) after fully adjusting for co-nfounding factors. Compared with participants in the lowest tertile of VAI, participants in the highest tertile of VAI had a significantly increased risk of DKD by 35.9% (OR = 1.359, 95% CI 1.355, 1.362). Through subgroup analysis, we found that VAI was positively correlated with the occurrence of DKD in all age subgroups, male(OR = 1.043, 95% CI 1.010, 1.080), participants wit-hout cardiovascular disease(OR = 1.038, 95% CI 1.011, 1.069), hypertension (OR = 1.054, 95% CI 1.021, 1.090), unmarried participants (OR = 1.153, 95% CI 1.036, 1.294), PIR < 1.30(OR = 1.049, 95% CI 1.010, 1.094), PIR ≧ 3 (OR = 1.085, 95% CI 1.021, 1.160), BMI ≧ 30 kg/m2 (OR = 1.050, 95% CI 1.016, 1.091), former smokers (OR = 1.060, 95% CI 1.011, 1.117), never exercised (OR = 1.033, 95% CI 1.004, 1.067), non-Hispanic white population (OR = 1.055, 95% CI 1.010, 1.106) and non-Hipanic black population (OR = 1.129, 95% CI 1.033, 1.258). Our results suggest that elevated VAI levels are closely associated with the development of DKD in diabetic patients. VAI may be a simpl-e and cost-effective index to predict the occurrence of DKD. This needs to be verified in furt-her prospective investigations.

Body Mass Index is Not an Appropriate Proxy for the Condition of Peri-Incisional Adiposity in Primary Total Joint Arthroplasty Patients

BackgroundThe American Academy of Orthopaedic Surgeons defined the acceptable threshold for elective safe surgery as a body mass index (BMI) under 40 due to the increased risk of complications. A consequence of this recommendation has been a hard cutoff based on BMI, which restricts access to care for an increasingly large and diverse population. There is an improved understanding that excess adipose tissue confers additional risk for postoperative complications, including infection, through mechanical and physiologic mechanisms. But, it is unclear if BMI is an accurate indicator of adiposity in total joint arthroplasty (TJA) patients and, thus, whether BMI is capturing clinically relevant information in obese patients. Our objective was to determine the relationship between peri-incisional adiposity (PIA) and BMI in a consecutive series of diverse primary TJA patients. MethodsA consecutive series of patients indicated for primary TJA were preoperatively evaluated. For each patient, the following variables were collected: BMI and measures of PIA on radiographs and ultrasounds. ResultsIn THA patients (N = 99), Pearson’s correlation coefficient (r) = 0.436, which indicates a moderate correlation between BMI and adiposity. In total knee arthroplasty patients (N = 271), r = 0.395 for femoral PIA (FPIA) and r = 0.249 for tibial PIA, which indicates a weak correlation between BMI and adiposity measured on radiography. In total knee arthroplasty patients, r = 0.560 for femoral PIA and r = 0.544 for tibial PIA, which indicates a moderate correlation between BMI and adiposity measured on ultrasound. ConclusionsQuantification of obesity has become a common practice in the preoperative evaluation of primary TJA patients. The intent is to determine the magnitude of adipose tissue, which is one of the main drivers of postoperative complications in obesity. The BMI is ubiquitously used as a proxy for obesity due to its simplicity of attainment and calculation. We report that BMI has a weak-to-moderate association with PIA in this population. These findings indicate that BMI may not accurately represent the condition of peri-incisional adipose tissue and, thus, is not capturing the relevant obesity data for preoperative risk stratification in primary TJA patients. Level of evidenceIII.

Long-term health after hypertensive pregnancy complications: Associations between adverse adiposity indices and dyslipidemia 1–3 years postpartum

Long-term health after hypertensive pregnancy complications: Associations between adverse adiposity indices and dyslipidemia 1–3 years postpartum

КАРДИОМЕТАБОЛИЧЕСКИЙ ПРОФИЛЬ С УЧЕТОМ СТАДИРОВАНИЯ ПО CMDS У ЛИЦ МОЛОДОГО ВОЗРАСТА

Abstract. Introduction. The burden of cardiovascular disease, diabetes mellitus, and the associated mortality remains high. One classification system that predicts the development of cardiovascular events and type 2 diabetes mellitus is Cardiometabolic Disease Staging (CMDS). The study of new cardiometabolic profile parameters is relevant in the context of their association with residual cardiovascular risk. The aim of the study was to evaluate the cardiometabolic profile, including extended parameters, in young adults, while taking into account the CMDS. Materials and Methods. 185 male and female subjects aged 35.0 [30.0–39.0] years were examined. The participants were divided into groups according to the CMDS classification: Stage 0, metabolically healthy; Stage 1 (low risk), one or two risk factors (RFs) other than prediabetes; Stage 2 (intermediate risk), presence of ≥3 risk factors or prediabetes; Stage 3 (high risk), presence of ≥3 risk factors and prediabetes. The study examined visceral adiposity index, visceral fat level, insulin resistance, leptinemia, hyperuricemia, glomerular filtration rate, C–reactive protein, and N–terminal brain natriuretic peptide concentrations. The data were processed in SPSS Statistics 26. Results and Discussion. The cardiometabolic profile demonstrated unfavorable alterations with the progression of CMDS stages. Across the spectrum from CMDS 0 to CMDS 3, we observed a significant rise in the prevalence of abdominal obesity (0% to 100%, p&lt;0,001), body mass index ≥25 kg/m2 (16.2% to 100%, p&lt;0.001), and excess visceral fat level (0% to 23.8%, p&lt;0.001). Simultaneously, the prevalence of hypercholesterolemia demonstrated a significant rise (24.3% to 52.4%, p=0.025), as did elevated low–density lipoprotein cholesterol (32.4% to 76.1%, p=0.014), insulin resistance (2.7% to 66.7%, p&lt;0.001), leptinemia (45.9% to 90.5%, p=0.009), C–reactive protein (2.7% to 57.1%, p&lt;0.001) and hyperuricemia (16.2% to 61.9%, p&lt;0.001). The median values of these parameters also increased. Conclusions. Our data confirm the simultaneous increase in both the quantity and intensity of risk factors, manifestations of adiposopathy associated with increasing residual cardiovascular risk. Our results substantiate the feasibility of using the CMDS classification at the stage of primary prevention of cardiometabolic diseases to identify groups with the most significant metabolism disorders of lipid, carbohydrate and purine metabolism in young adults.

Association Between Osteoporosis and Adiposity Index Reveals Nonlinearity Among Postmenopausal Women and Linearity Among Men Aged over 50 Years

PurposePrevious research shows conflicting views on the relationship between obesity and osteoporosis, partly due to variations in obesity classification and the nonlinear nature of these relationships. This study investigated the association between adiposity indices and osteoporosis, diagnosed using dual-energy X-ray absorptiometry (DXA), employing nonlinear models and offering optimal thresholds to prevent further bone mineral density decline.MethodsIn 2019, a prospective study enrolled males over 50 years and postmenopausal women. Anthropometric measurements, blood biochemistry, and osteoporosis measured by DXA were collected. Associations between adiposity indices and osteoporosis were analyzed using a generalized additive model and segmented regression model.ResultsThe study included 872 women and 1321 men. Indices such as abdominal volume index (AVI), visceral adiposity index (VAI), waist circumference (WC), hip circumference, body mass index (BMI), waist-to-hip ratio, and waist-to-height ratio (WHtR) were inversely associated with osteoporosis. In women, the relationship between the risk of osteoporosis and the adiposity indices was U-shaped, with thresholds of WC = 94 cm, AVI = 17.67 cm2, BMI = 25.74 kg/m2, VAI = 4.29, and WHtR = 0.61, considering changes in bone mineral density. Conversely, men exhibited a linear patterns for the inverse association.ConclusionThe impact of obesity and adiposity on osteoporosis varies significantly between women and men. In postmenopausal women, the relationship is nonlinear (U-shaped), with both very low and very high adiposity linked to higher osteoporosis risk. In men over 50, the relationship is linear, with higher adiposity associated with lower osteoporosis risk. The study suggests that maintaining specific levels of adiposity could help prevent osteoporosis in postmenopausal women.

Effect of Replacing Sucrose in Beverages with Nonnutritive Sweetener Sucralose on Cardiometabolic Risk Factors Among Asian Indian Adults with Type2 Diabetes: A 12-Week Randomized Controlled Trial.

Country-specific evidence-based research is crucial for understanding the role of nonnutritive sweeteners (NNS) in managing type2 diabetes (T2D). The main aim of this study was to explore the effect of replacing sucrose with sucralose in coffee/tea in Asian Indians with type2 diabetes (T2D). This 12-week, parallel-arm randomized controlled trial included 210 participants with T2D, assigned to the intervention group, where sugar/sucrose in coffee or tea was substituted with sucralose, or the control group, where sugar/sucrose was continued. Lifestyle factors remained unchanged. The primary outcome was change in HbA1c. Secondary outcomes were changes in body weight (BW), body mass index (BMI), waist circumference (WC), lipid profiles, and inflammatory markers. At the end of 12weeks, no change was observed in HbA1c, fasting plasma glucose, lipid profile, and inflammatory markers between or within groups. There was a small but significant reduction in BW (- 0.5kg [95%CI - 1.0, - 0.1]; p = 0.02), BMI (- 0.2kg/m2 [- 0.4, 0.0]; p = 0.03), and WC (- 0.8cm [- 1.4, - 0.3]; p = 0.002) in the intervention group. Improvements were also observed in lipid accumulation product (p = 0.01), visceral adiposity index (p = 0.04), triglyceride/glucose index (p = 0.04), total energy intake (p = 0.04), and carbohydrate intake (p < 0.0001). In Asian Indians with T2D, replacing about 60kcal of added sucrose with sucralose in coffee/ tea had no benefit on glycemia but resulted in a small reduction in body weight, body mass index, and waist circumference. Clinical Trials Registry of India (CTRI/2021/04/032686).

The optimal measurement period of actigraphy for circadian rhythm in relation to adiposity: A retrospective case-control study

BackgroundThis study focused on the relationship between adiposity and Rest-Activity Rhythms (RAR), utilizing both parametric cosine-based models and non-parametric algorithms. The emphasis was on the impact of varying measurement periods (7–28 days) on this relationship. MethodsWe retrieved actigraphy data from two datasets, encompassing a diverse cohort recruited from an obesity outpatient clinic and a workplace health promotion program. Participants were required to wear a research-grade wrist actigraphy device continuously for a minimum of four weeks. The final dataset included 115 individuals (mean age 40.7 ± 9.5 years, 51 % female). We employed both parametric and non-parametric methods to quantify RAR using six standard variables. Additionally, the study evaluated the correlations between three key adiposity indices — Body Mass Index (BMI), Visceral Adipose Tissue (VAT) area, and Body Fat Percentage (BF%) — and circadian rhythm indicators, controlling for factors like physical activity, age, and gender. ResultsThe obesity group displayed a significantly lower relative amplitude (RA) as per non-parametric algorithm findings, with a decreased amplitude noted in the parametric algorithm analysis, in comparison to the overweight and control groups. The relationship between circadian rhythm indicators and adiposity metrics over 7- to 28-day periods was examined. A notable negative correlation was observed between RA and both BMI and VAT, while correlation coefficients between adiposity indicators and non-parametric circadian parameters increased with extended durations of actigraphy data. Specifically, RA over a 28-day period was significantly correlated with BF%, a trend not seen in the 7-day measurement (p = 0.094) in multivariate linear regression. The strength of the correlation between BF% and 28-day RA was more pronounced than that in the 7-day period (p = 0.044). However, replacing RA with amplitude as per parametric cosinor fitting yielded no significant correlations for any of the measurement periods. ConclusionThe study concludes that a 28-day measurement period more effectively captures the link between disrupted circadian rhythms and adiposity. Non-parametric algorithms, in particular, were more effective in characterizing disrupted circadian rhythms, especially when extending the measurement period beyond the standard 7 days.

Relationship of anthropometrics and blood pressure to identify people at risk of hypertension and obesity-related conditions in Nigerian rural areas.

The prevalence of obesity and hypertension is increasing, particularly in the urban areas. However, there is limited research on the relationship between obesity and hypertension in the rural areas of southeastern Nigeria. The present study aimed to investigate the association between anthropometric parameters and adiposity indicators and the risk of hypertension with obesity-related conditions, based on a descriptive study of people living in the southeastern rural areas of Nigeria. The cluster sampling procedure randomly recruited study participants. Finally, 200 participants (100 male and 100 female) aged 18 to 25 years were included in the study. A simplified correlation analysis was used to derive the adjusted indicators in relation to age and sex. This study found that females generally had a higher body mass index (BMI), waist circumference (WC), and Z-score, whereas systolic blood pressure (SBP) was higher in men. A high correlation was found between the body shape index (ABSI) and BMI (r = -.529, P < .001), WC (r = .399, P < .001) and Z-score (r = .982, P < .001) in male participants. In females, there was a high correlation between ABSI and BMI, blood pressure (BP), and Z score in female participants (r = -.481, P < .000; r = -.267, P = .007; r = .941, P < .000). In male participants, BMI was correlated with diastolic blood pressure (DBP; r = .236, P = .018), SBP (r = .282, P = .005), Z score (r = -.539, P < .000), and WC (r = .541, P < .001). This study highlights the importance of considering a range of anthropometric measurements and health parameters when assessing health risks and identifying potential interventions. In addition, the body shape index may be a particularly useful tool for predicting health risks in both men and women. In contrast, correlations between various health parameters can provide insights into the underlying mechanisms and risk factors.

Association of breakfast skipping on nutrient intake and adiposity in Malaysian children: Findings from SEANUTS II

Malaysian children often skip breakfast, an important meal providing essential nutrients for optimal growth and maintaining proper nutritional status. Therefore, this study aims to investigate the associations between breakfast skipping with dietary intake, diet quality, and adiposity indicators among primary schoolchildren aged 6.0–12.9 years. This study involved 1383 children from the South East Asian Nutrition Surveys (SEANUTS II) Malaysia. Information collected through questionnaires included sociodemography and breakfast consumption, defined as the first meal before noon. Breakfast skipping was identified as skipping breakfast at least once a week. Anthropometric measures, including height, body weight, and waist circumference, as well as percentage of body fat, were collected. Body mass index (BMI) and waist-to-height ratio were calculated, and BMI-for-age-z-scores was determined using WHO (2007) growth reference. A one-day 24-hour dietary recall was employed to assess dietary intake, and diet quality was analyzed using Malaysian Healthy Eating Index. Binary logistic regression was applied to examine relationship between breakfast skipping on diet quality and adiposity indicators. Over one-third (36.0%) of children skipped breakfast at least once a week, resulting in lower intakes of energy, nutrients, cereals/grains, vegetables, and milk/dairy products, though not affecting total diet quality score. Breakfast skipping was associated with higher odds of overweight/obesity (aOR 2.04, 95%CI: 1.52–2.76) and central obesity (aOR 1.87, 95%CI 1.34–2.61). In conclusion, primary schoolchildren in Peninsular Malaysia who skipped breakfast tended to have lower consumption of nutrients and specific basic food groups, as well as increased body fat. This study highlights the importance of continuing to educate parents and children about healthy eating habits, especially the need to adhere to dietary recommendations, with an emphasis on breakfast consumption.

The association between visceral adiposity index and risk of type 2 diabetes mellitus

Relationships between the visceral adiposity index (VAI) and type 2 diabetes mellitus (T2DM) have been underexplored. The purpose of this study is to explore association between VAI and T2DM in adults in the US. Based on the National Health and Nutrition Examination Survey 2007–2018, 11,214 participants aged 20 years or older were included in a cross-sectional study. Multifactorial logistic regression analysis and smoothed curve fitting analysis were performed to investigate links between VAI and the prevalence of T2DM, as well as the stability and incidence between subgroups. In a fully adjusted continuous model, the aggregate population risk of T2DM increased 0.43-fold with each 1-unit increase in VAI [odds ratio (OR) = 1.43; 95% confidence interval (CI) 1.35–1.50]. In the fully adjusted categorical model with VAI scores stratified by quartiles, results showed a higher T2DM advantage among participants in the second, third, and fourth quartiles (Q2: OR 1.35, 95% CI 1.06–1.71; Q3: OR 2.46, 95% CI 1.95–3.11; Q4: OR 4.42, 95% CI 3.55–05.50). Compared with Q1, the prevalence of T2DM in the total population increased 3.42-fold in Q4. The above results indicated that VAI was positively associated with the prevalence of T2DM, which was consistent and nonlinear with the smoothed curve-fitting analysis (P for non-linear = 0). Subgroup analyses after adjusting for covariates showed that keeping with the overall population results, it also was found that there was an interaction between sex and hypertension in the subgroups. VAI was positively associated with the prevalence of T2DM and was more prevalent in women, non-hypertensive than in men, hypertensive populations.

High Obesity Indices Are Associated with Gastroesophageal Reflux Disease, but Low Obesity Indices Are Associated with Peptic Ulcer Disease in a Large Taiwanese Population Study

Introduction: Gastroesophageal reflux disease (GERD) and peptic ulcer disease (PUD) are prevalent in Taiwan. Few studies have investigated the associations between obesity indices with GERD and PUD simultaneously. This study aimed to investigate the correlations among obesity indices with GERD and PUD in a large cohort of participants, around 120,000, in the Taiwan Biobank (TWB). Methods: A total of 121,583 participants (male: 43,698; female: 77,885; mean age 49.9 ± 11.0 years) were included to analyze the associations among obesity indices, including body mass index (BMI), waist-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), abdominal volume index (AVI), lipid accumulation product (LAP), visceral adiposity index (VAI), and triglyceride-glucose index (TyG index), with GERD and PUD. Self-reported GERD and PUD were obtained by questionnaires. Multivariate logistic regression analysis was employed to analyze the relationship between obesity indices with GERD and PUD. Results: The prevalence of GERD and PUD was 13.7% and 14.6%, respectively. After multivariable analysis, high WHR (odds ratio [OR] = 1.009, p < 0.001), WHtR (OR = 1.005, p = 0.003), BRI (OR = 1.022, p = 0.005), AVI (OR = 1.013, p < 0.001), LAP (OR = 1.001, p < 0.001), TyG index (OR = 1.068, p < 0.001), and VAI (OR = 1.013, p = 0.002) were significantly associated with GERD, except BMI (p = 0.384). On the other hand, low BMI (OR = 0.984; p < 0.001) and AVI (OR = 0.994; p = 0.036) were significantly associated with PUD. However, the values of WHR (p = 0.151), WHtR (p = 0.304), BRI (p = 0.452), LAP (p = 0.799), VAI (p = 0.347), and TyG index (p = 0.642) were not. Conclusion: This study found that high obesity indices are associated with GERD, but low obesity indices are associated with PUD in a large Taiwanese population study. Our findings may alert physicians to notice that different obesity index may be associated with different gastrointestinal disorder.

Neck Circumference and Its Relation with Body Fat Percentage in Children 5-10 Years Old.

Neck circumference (NC) has been proposed as an indicator of upper trunk adiposity and a potential indicator of metabolic risk. The objective was to evaluate NC and its correlation with body fat percentage (BF%) and other indicators of adiposity in children with normal weight, overweight, and obesity. In a cross-sectional study, 112 children 5 to 10 years of age were included in the outpatient clinic from a public hospital. Measures of weight and height to calculate BMI (kg/m2), NC, mid-upper arm circumference, waist circumference, and tricipital skinfold thickness. Body composition measurements were performed using an electrical bioimpedance device (BIA). The relationship between anthropometric variables and BF% obtained by BIA was determined using Spearman correlation tests. Multivariate models were constructed with BF% as the dependent variable and anthropometric parameters as independent. In the entire group, there was a direct correlation between NC and BF% (r = 0.50, p < 0.001), but lost statistical significance in the case of normal weight. The relationship maintained its significance in subjects from the overweight and obesity groups. In multivariate models, BMI exhibited the highest correlation with BF%, followed by waist circumference and mid-upper arm circumference; for NC, the R2 value was 0.30 (p < 0.001). Neck circumference is useful in the screening of population groups with the advantage of not requiring any specialized instruments for its measurement other than a tape measure. BMI and waist circumference were the best indicators of general and central adiposity, respectively.

Adiponectin and visfatin as potential biomarkers of cardiovascular disease in postmenopausal women

Abstract Background Adiponectin and visfatin are involved in many changes associated with obesity and metabolic disorders so may be related to metabolic syndrome and cardiovascular disease. During the perimenopausal period, the risk of obesity and cardiometabolic diseases increases. Therefore, the aim of this study was to assess the relationship between cardiometabolic parameters and circulating levels of visfatin and adiponectin in perimenopausal women with regard to their obesity status. Material and methods This survey-based study was conducted among 168 perimenopausal women. It involved the use of questionnaires, anthropometric measurements, blood pressure measurements, and venous blood collection. Results Our study found that visceral adiposity index (VAI) and lipid accumulation product (LAP) were negatively correlated with adiponectin levels. Preliminary multivariate linear regression analysis revealed a positive correlation between circulating visfatin and IL-6 levels. Adiponectin was negatively correlated with HbA1C, fasting blood glucose, insulin, and triglycerides. Furthermore, circulating adiponectin was positively correlated with HDL, and negatively with HOMA-IR. Conclusions In the women studied, some adipokines may have played a significant role in the development of obesity, metabolic syndrome, and cardiometabolic diseases.

Association of Visceral Adiposity Index and Handgrip Strength with Cardiometabolic Multimorbidity among Middle-Aged and Older Adults: Findings from Charls 2011-2020.

The visceral adiposity index (VAI) and handgrip strength (HGS) are identified as important objectives for the prevention of illness. Nevertheless, there is limited understanding regarding the impact of the VAI and HGS on cardiometabolic multimorbidity (CMM). We aimed to ascertain the impact of the VAI and HGS on CMM among middle-aged and older people. Data spanning from 2011 to 2020 were derived from the China Health and Retirement Longitudinal Study (CHARLS). In total, 7909 individuals aged 45 years and older were included. Cox proportional hazard regression was utilized to examine the correlation among the VAI, HGS, and CMM. Throughout the 10-year follow-up, we determined that both the VAI (HR = 1.330; 95%CI = 1.179-1.500) and HGS (HR = 0.745, 95%CI = 0.645-0.861) exhibited significant associations with CMM risk. Individuals exposed to both a high VAI and low HGS were found to have higher hazards of CMM (HR = 1.377, 95%CI = 1.120-1.694) in contrast to participants exposed to one or none of these conditions. The older (HR = 1.414; 95%CI = 1.053-1.899) and male (HR = 1.586; 95%CI = 1.114-2.256) groups are more likely to experience CMM risk. Our findings suggest that both the VAI and HGS have significant effects on CMM risk. Appropriate interventions focused on vulnerable groups are recommended to prevent the incidence of CMM.

Impact of baseline body composition on prognostic outcomes in urological malignancies treated with immunotherapy: a pooled analysis of 10 retrospective studies

ObjectiveNumerous epidemiological investigations have explored the impact of body composition on the effectiveness of immune checkpoint inhibitors (ICIs) in urological malignancies (UM) patients, yielding conflicting findings. As a result, our study aims to elucidate the influence of baseline body composition on the long-term prognosis of UM patients treated with ICIs.MethodsWe employed a rigorous systematic search across various databases, including PubMed, Embase, the Cochrane Library, and Google Scholar, to identify studies meeting our inclusion criteria. Our primary endpoints of interest encompassed overall survival (OS) and progression-free survival (PFS).ResultsThis analysis included a total of 10 articles with a combined patient cohort of 707 individuals. Our findings revealed a noteworthy association between several body composition parameters and unfavorable OS outcomes, including low psoas muscle index (PMI; HR: 3.88, p < 0.001), low skeletal muscle index (SMI; HR: 1.63, p < 0.001), sarcopenia (HR: 1.88, p < 0.001), low visceral adipose index (VAI; HR: 1.38, p = 0.018) and low subcutaneous adipose index (SAI; HR: 1.37, p = 0.018). Furthermore, our analysis demonstrated that low PMI (HR: 2.05, p = 0.006), low SMI (HR: 1.89, p = 0.002), sarcopenia (HR: 1.80, p < 0.001), and low VAI (HR:1.59, p = 0.005) were significantly correlated with inferior PFS. Conversely, SAI did not manifest a pronounced association with PFS in UM patients treated with ICIs.ConclusionCollectively, our study findings underscore a substantial relationship between baseline body composition and reduced clinical efficacy in UM patients undergoing ICI therapy.

Evidence of gene-nutrient interaction association with waist circumference, cross-sectional analysis

Background and aimsWaist circumference (WC) is a significant indicator of body adiposity and is associated with increased mortality and morbidity of cardiovascular diseases. Although, single nutrient intake and candidate genes were previously associated with WC. Little is known about WC association with overall diet quality, genetic risk score and gene-nutrient interaction. This study aims to investigate the influence of overall diet quality and multiple WC-associated single nucleotide polymorphisms on WC. In addition to investigating gene-nutrient interaction association with WC.MethodsThis study explored cross-sectional data from two large sample-size studies, to provide reproducible results. As a representation of the UK population, the Airwave Health Monitoring Study (n = 6,502) and the UK-Biobank Cohort Study (n = 171,129) were explored for factors associated with WC. Diet quality was evaluated based on the Mellen Index for Dietary Approaches to Stop Hypertension (Mellen-DASH). The genetic risk score for WC (GRS-Waist) was calculated by screening the population genotype for WC-associated single nucleotide polymorphisms. Multivariate linear regression models were built to explore WC association with diet quality and genetic risk score. Gene-nutrient interaction was explored by introducing the interaction term (GRS-Waist X Mellen-DASH score) to multivariate linear regression analysis.ResultsThe prevalence of high WC (Female > 80 cm, Male > 94 cm) was 46.5% and 51.7% in both populations. Diet quality and genetic risk score of WC were significantly associated with WC. There was no evidence of interaction between GRS-Waist, DASH diet scores and nutrient intake on WC.ConclusionThis study’s findings provided reproducible results on waist circumference association with diet and genetics and tested the possibility of gene-nutrient interaction. These reproducible results are successful in building the foundation for using diet and genetics for early identification of those at risk of having high WC and WC-associated diseases. In addition, evidence on gene-diet interactions on WC is limited and lacks replication, therefore our findings may guide future research in investigating this interaction and investigating its application in precision nutrition.

Prediction of visceral adipose tissue magnitude using a new model based on simple clinical measurements.

Waist circumference (WC) is a reliable obesity surrogate but may not distinguish between visceral and subcutaneous adipose tissue. Our aim was to develop a novel sex-specific model to estimate the magnitude of visceral adipose tissue measured by computed tomography (CT-VAT). The model was initially formulated through the integration of anthropometric measurements, laboratory data, and CT-VAT within a study group (n=185), utilizing the Multivariate Adaptive Regression Splines (MARS) methodology. Subsequently, its correlation with CT-VAT was examined in an external validation group (n=50). The accuracy of the new model in estimating increased CT-VAT (>130 cm2) was compared with WC, body mass index (BMI), waist-hip ratio (WHR), visceral adiposity index (VAI), a body shape index (ABSI), lipid accumulation product (LAP), body roundness index (BRI), and metabolic score for visceral fat (METS-VF) in the study group. Additionally, the new model's accuracy in identifying metabolic syndrome was evaluated in our Metabolic Healthiness Discovery Cohort (n=430). The new model comprised WC, gender, BMI, and hip circumference, providing the highest predictive accuracy in estimating increased CT-VAT in men (AUC of 0.96 ± 0.02), outperforming other indices. In women, the AUC was 0.94 ± 0.03, which was significantly higher than that of VAI, WHR, and ABSI but similar to WC, BMI, LAP, BRI, and METS-VF. It's demonstrated high ability for identifying metabolic syndrome with an AUC of 0.76 ± 0.03 (p<0.001). The new model is a valuable indicator of CT-VAT, especially in men, and it exhibits a strong predictive capability for identifying metabolic syndrome.