Importance of Measured Body Fat, Visceral Adiposity Index, and Lipid Accumulation Product Index in Predicting Cardiometabolic Risk Factors

Demirbaş, Nur; Kutlu, Ruhuşen

doi:10.1089/met.2020.0098

Cited by 12 publications

(8 citation statements)

References 16 publications

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“…Moreover, Godinho-Mota et al (2020) reported a visceral fat dysfunction among breast cancer patients after chemotherapy 15 . Considering visceral fat accumulation, the adiposity indices as the visceral adiposity index (VAI), lipid accumulation product index (LAP), and triglyceride glucose index (TyG), could be important metabolic alterations tracking tools [16][17][18][19][20] . Furthermore, in a previous study, our research group found a metabolic syndrome prevalence of more than 50% of breast cancer survivors 21 , and the combination of those alterations with unhealthy body composition and improperly food intake might lead to the development of secondary illness, for instance, the cardiovascular diseases in breast cancer survivors [22][23][24] , reflecting directly to the survival rates and clinical evolution after the cancer care.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of metabolic, dietetic, and nutritional status reveals impaired nutritional outcomes in breast cancer patients undergoing chemotherapy compared with a matched control group

Silva

Rufato

Mialich

et al. 2022

Preprint

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Purpose Nutritional status changes in breast cancer patients during treatment are prevalent, and those alterations can increase non-cancer-related comorbidities. In addition, the metabolic implications of those alterations are poorly understood. We aimed to characterize body composition, lipids, glucose levels, and indices that express cardiovascular risk in breast cancer patients after completion of chemotherapy and then to compare those results with a matched control group. Methods A cross-sectional study was performed. Women who completed their chemotherapy were recruited (BC group) and compared with a group of non-malignant age- and body mass index-matched (MC group), as well as a group of healthy, non-malignant women (HC group). Body composition by bioelectrical impedance analysis, handgrip strength, and blood sample were collected. Visceral adiposity, triglyceride glucose and lipid accumulation product indices were calculated. Food consumption was assessed. Results 88 women were included (BC=36, MC=36, HC=16). BC patients demonstrated worse values of phase angle, nutritional risk index, extracellular body water to total body water ratio and lower handgrip strength. Additionally, those women had impairments in lipids, worst glucose levels, visceral fat dysfunction and consequently higher cardiovascular risk, presenting important unhealthy dietary patterns with higher carbohydrate and caloric intake and insufficient protein and fiber ingestion. No differences were observed between MC and HC. Conclusion Breast cancer patients present unhealthy metabolic, nutritional, and dietetic features when compared to a group of age- and BMI-matched non-malignant females. Also, breast cancer patients had higher levels of cardiovascular risk. Further investigations are required to examine the underlying mechanisms and the potential longitudinal changes during surveillance time.

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Section: Introductionmentioning

confidence: 99%

An evaluation of metabolic, dietetic, and nutritional status reveals impaired nutritional outcomes in breast cancer patients undergoing chemotherapy compared with a matched control group

Silva

Rufato

Mialich

et al. 2022

Preprint

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“…One of the most important criteria of MetS is visceral obesity that is associated with the severity of MetS (5,6). Immunomodulatory adipokines secreted from adipose tissue can cause inflammation (7).…”

Section: Introductionmentioning

confidence: 99%

“…Both adipose tissue function and distribution depend on age and gender. Although methods such as computed tomography, magnetic resonance imaging, dual-energy X-ray absorptiometry, and bioelectrical impedance analysis are used to evaluate visceral fat, because of the high cost of these methods they are not routinely used, so practical and cost-effective methods should be defined (5,6). Body mass index (BMI) and waist circumference (WC) are common and effective indicators of obesity, but they cannot differentiate between visceral fat, subcutaneous fat, and lean muscle (fat-free) mass (10,11).…”

Section: Introductionmentioning

confidence: 99%

Predicting metabolic syndrome by visceral adiposity index, body roundness index, dysfunctional adiposity index, lipid accumulation product index, and body shape index in adults

Göçer¹,

Baş²,

Biçer³

et al. 2022

Nutr Hosp

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Introduction: the increasing prevalence of metabolic syndrome draws attention to the importance of detecting metabolic syndrome with practical methods in the early period.Objectives: to compare anthropometric measurements and indexes for prediction of metabolic syndrome (MetS) in adults.Methods: the study was conducted with adults classified as MetS (n = 92) and a control group (n = 137) according to the International Diabetes Federation. Anthropometric measurements, visceral adiposity index (VAI), dysfunctional adiposity index (DAI), A body shape index (ABSI), lipid accumulation product (LAP), body roundness index (BRI), glucose, lipid biomarkers, and blood pressure (BP) levels were compared. A ROC analysis was performed.Results: MetS frequency was determined to be 40.2 % (n = 92). All biochemical parameters except high-density lipoprotein-cholesterol and BP levels, all anthropometric measurements, and all index values except ABSI of the MetS group were higher than in the control group (p < 0.001). DAI had the highest discriminatory ability for MetS (AUC = 0.921). While the discriminatory ability of LAP was slightly lower (AUC = 0.915), ABSI had the lowest ability for MetS (AUC = 0.606). Conclusion:according to the study findings, MetS was found in almost half of individuals, and the LAP index and DAI can be used as predictive tools for early detection of MetS.

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“…At present, the underlying mechanism for determining different metabolic phenotypes was unclear, which may be related to visceral fat accumulation 12 , inflammatory factors 13 , genetics 14 , dietary intake behaviors and lifestyle habits 15 . Some studies showed that visceral adipose tissue (VAT) was positively correlated with cardiometabolic risk factors 16 . As the gold standard for measuring visceral obesity, computed tomography and magnetic resonance imaging were characterized by radiation hazards and high costs, therefore, these techniques were not suitable for large-scale epidemiological investigations 17 .…”

Section: Introductionmentioning

confidence: 99%

Visceral adiposity index performed better than traditional adiposity indicators in predicting unhealthy metabolic phenotype among Chinese children and adolescents

Dong

Bai

Cai

et al. 2021

Sci Rep

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The relationship between visceral adiposity index (VAI) and unhealthy metabolic phenotype remained unclear in children and adolescents. This study aimed to investigate their association and compared the ability of VAI and traditional adiposity indicators (body mass index, waist circumference and waist-to-height ratio) to predict metabolically unhealthy phenotype among normal-weight, overweight and obese children and adolescents. In this cross-sectional study, 1722 children and adolescents aged 12–18 years were selected by cluster random sampling, underwent a questionnaire survey, physical examination and biochemical tests. Participants were divided into four phenotypes according to the combination of the weight status determined by body mass index (BMI) and metabolic syndrome components. Receiver operating characteristic (ROC) analysis and multivariate logistic regression were used to compare the predictive capacity between VAI and traditional adiposity indicators and their relationship with metabolically unhealthy phenotype. We found that VAI had better performance in predicting metabolically unhealthy phenotype than traditional adiposity indicators, the area under the receiver-operating characteristic curve (AUC) were 0.808 and 0.763 for boys and girls with normal-weight, 0.829 and 0.816 for boys and girls with overweight and obese (all P < 0.001). VAI was most strongly related to metabolically unhealthy phenotype whether or not to adjust the age, the adjusted OR and 95%CI was 6.15 (4.13–9.14) in boys with normal weight, and 5.90 (3.06–11.36), 4.95 (2.35–10.41) in boys and girls with overweight and obese, respectively (all P < 0.001). Our findings suggested VAI could be used as a comprehensive predictor to identify unhealthy metabolic phenotype in children and adolescents.

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Importance of Measured Body Fat, Visceral Adiposity Index, and Lipid Accumulation Product Index in Predicting Cardiometabolic Risk Factors

Cited by 12 publications

References 16 publications

An evaluation of metabolic, dietetic, and nutritional status reveals impaired nutritional outcomes in breast cancer patients undergoing chemotherapy compared with a matched control group

An evaluation of metabolic, dietetic, and nutritional status reveals impaired nutritional outcomes in breast cancer patients undergoing chemotherapy compared with a matched control group

Predicting metabolic syndrome by visceral adiposity index, body roundness index, dysfunctional adiposity index, lipid accumulation product index, and body shape index in adults

Visceral adiposity index performed better than traditional adiposity indicators in predicting unhealthy metabolic phenotype among Chinese children and adolescents

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