&lt;p&gt;Visceral Adiposity Index and Chronic Kidney Disease in a Non-Diabetic Population: A Cross-Sectional Study&lt;/p&gt;

Xiong, Chengliang; Shao, Xiaofei; Gao, Peichun; Chen, Haishan; Ning, Jing; Chen, Yunying; Zou, Zhong‐Mei; Hong, Guobao; Li, Xiaolin; You, Xu; Sheng, Jieli; Wu, Fan; Wang, Xin; Zou, Hequn

doi:10.2147/dmso.s231656

Cited by 21 publications

(29 citation statements)

References 37 publications

(41 reference statements)

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“…CI reflects central obesity and has also been reported to be a good indicator of MetS status [ 63 ]. VAI is a surrogate of visceral fat accumulation, and it can also be used to assess central obesity [ 64 ]. LAP can be used to assess visceral fat and TG levels, and it has been shown to reflect the risk of MetS and cardiovascular disease [ 65 ].…”

Section: Discussionmentioning

confidence: 99%

Associations between Metabolic Syndrome and Obesity-Related Indices and Bone Mineral Density T-Score in Hemodialysis Patients

Wung

Chung

et al. 2021

JPM

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Previous studies have reported inconsistent results regarding the associations between metabolic syndrome (MetS) and obesity-related indices and bone mineral density (BMD). However, no previous studies have reported these associations among hemodialysis (HD) patients. The aims of this study were to investigate associations between MetS and its components and BMD T-score in HD patients and also between obesity-related indices and BMD T-score in HD patients with and without MetS. MetS was defined according to the Adult Treatment Panel III for Asians, and BMD T-score was calculated using dual-energy X-ray absorptiometry. Eight obesity-related indices were evaluated, including lipid accumulation product (LAP), visceral adiposity index (VAI), body adiposity index, conicity index (CI), body roundness index (BRI), abdominal volume index (AVI), waist-to-height ratio (WHtR), waist–hip ratio, and body mass index (BMI). One hundred and sixty-four patients undergoing HD were enrolled, and the prevalence of MetS was 61.6%. MetS was significantly associated with high lumbar spine and total hip T-scores. Regarding the MetS components, abdominal obesity and low HDL-C were significantly associated with high lumbar spine, femoral neck, and total hip T-scores; hypertriglyceridemia was significantly associated with high lumbar spine and total hip T-scores; hyperglycemia was significantly associated with a high lumbar spine T-score, whereas high blood pressure was not associated with T-score at any site. In the patients with MetS, BMI, WHtR, AVI, and BRI were significantly associated with T-score at all sites, and high CI, VAI, and LAP were also related to a high lumbar T-score. However, these indices were not associated with T-score at any site in patients without MetS. This study demonstrated positive associations between MetS and its five components and BMD T-score among HD patients. MetS, abdominal obesity, hypertriglyceridemia, and low HDL-cholesterol were associated with low risk of osteoporosis among the HD patients. Furthermore, we found that some obesity-related indices were associated with BMD T-score among HD patients with MetS but not in those without MetS. Our study highlights the importance of BMI, WHtR, AVI, and BRI in predicting the risk of osteoporosis among HD patients with MetS. In clinical practice, they can be easily calculated through simple anthropometric measurements and routine laboratory examinations and be used to quickly and conveniently assess the risk of osteoporosis among HD patients.

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Section: Discussionmentioning

confidence: 99%

Associations between Metabolic Syndrome and Obesity-Related Indices and Bone Mineral Density T-Score in Hemodialysis Patients

Wung

Chung

et al. 2021

JPM

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“…Visceral fat is usually considered to be more metabolically active than subcutaneous fat, and thereby a better predictor of cardiometabolic risk [ 11 ]. It is therefore reasonable to believe that individuals with more visceral abdominal obesity could also run a higher risk of developing CKD [ 27 ]. A recent study by Miyasato et al .…”

Section: Discussionmentioning

confidence: 99%

“…A validation study of the equipment used in the present study concluded that the validity and reliability was acceptable, and that the method could be of value both for clinical use and field studies [ 33 ]. However, others have questioned the precision of the bioelectrical impedance method, especially for individuals with body mass indices greater than 34 kg/m 2 [ 27 ]. These individuals often have a relatively high amount of extracellular water and total body water, which might result in an overestimation of fat-free mass and an underestimation of fat mass.…”

Section: Discussionmentioning

confidence: 99%

The risk of chronic kidney disease in relation to anthropometric measures of obesity: A Swedish cohort study

et al. 2021

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Background It has been shown that individuals with obesity have a higher risk for chronic kidney disease (CKD). However, it is unclear which measure of obesity is most useful for prediction of CKD in the general population. The aim of this large prospective study was to explore the association between several anthropometric measures of obesity, i. e., body mass index (BMI), waist circumference (WC), waist circumference to height ratio (WHtR), waist-to-hip ratio (WHR), percentage of body fat (BF%), weight, height and incidence of hospitalizations due to CKD, in a population-based cohort study. Methods The ‘Malmö Diet and Cancer Study (MDCS)’ cohort in Sweden was examined during 1991 to 1996. A total of 28,449 subjects underwent measurement of anthropometric measures and blood pressure and filled out a questionnaire. Incidence of in- and outpatient hospital visits for CKD was monitored from the baseline examination over a mean follow-up of 18 years. Cox proportional hazards regression was used to explore the association between anthropometric measures and incidence of CKD, with adjustments for risk factors. Results The final study population included 26,723 subjects, 45-73 years old at baseline. Higher values of BMI, WC, WHR, WHtR and weight were associated with an increased risk of developing CKD in both men and women. Only in women, higher values of BF% was associated with higher risk of CKD. Comparing the 4th vs 1st quartile of the obesity measure, the highest hazard ratio (HR) for CKD in men was observed for BMI, HR 1.51 (95% CI: 1.18-1.94) and weight (HR 1.52 (95% CI: 1.19-1.94). For women the highest HR for CKD was observed for BF%, HR 2.01 (95% CI: 1.45-2.78). Conclusions In this large prospective study, all anthropometric measures of obesity were associated with a substantially increased incidence of CKD, except for BF% in men. Some measures were slightly more predictive for the risk of CKD than others such as BMI and weight in men and BF% in women. In clinical daily practice use of all anthropometric measures of obesity might be equally useful to assess the risk of developing CKD. This study supports the strong evidence for an association between obesity and CKD.

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“…In addition, some previous studies showed that prevalence of CKD is significantly associated with both VAI and LAPI. 20,21 Excess fat can indirectly induce kidney damage by increasing the prevalence of atherosclerosis, hypertension, or type 2 diabetes. 22,23 Furthermore, excess fat can directly exacerbate kidney injury via the inflammatory response, which produces adipokines such as TNF-α and IL-6 leading to change in renal hemodynamics.…”

Section: <0001mentioning

confidence: 99%

<p>Association Between Hypertriglyceridemic Waist Phenotype and Increased Urinary Albumin–Creatinine Ratio in Chinese Adults: The REACTION Study</p>

Su¹,

Wang²,

Mu³

2020

DMSO

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The hypertriglyceridemic waist (HTGW) phenotype can predict cardiovascular disease (CVD) risk. Additionally, strong evidence indicates that elevated urinary albumincreatinine ratio (UACR) is associated with increased prevalence of CVD. However, few studies have explored the association between the HTGW phenotype and UACR. Patients and Methods: In this cross-sectional descriptive study, a total of 40,674 subjects (28,562 women and 12,112 men older than 40 years) were recruited from seven different geographic regional centres. The HTGW phenotype was defined as increased triglyceride levels (triglyceride ≥ 1.5 mmol/L for female and ≥2.0 mmol/L for male) and waist circumference (WC; WC ≥ 85 for female and WC ≥ 90 cm for male). Logistic regression analyses were performed to assess the relationship between UACR and the HTGW phenotype. Results: Subjects with the HTGW phenotype showed a more significant trend towards increased excretion of UACR [among all subjects, odds ratio (OR) = 1.303, 95% CI: 1.132-1.499, P < 0.001; among men, OR = 1.406, 95% CI: 1.057-1.870, P = 0.019; among women, OR = 1.268, 95% CI: 1.074-1.496, P = 0.005]. Furthermore, the stratified analysis showed that the OR for high-risk significantly increased in individuals in the HTGW group aged below 65 years, with 5.6 ≤ fasting blood glucose < 7.0 or 7.8 ≤ post-load blood glucose <11.1 mmol/L, 120 ≤ systolic blood pressure < 140 or 80 ≤ diastolic blood pressure < 90, 24 ≤ body mass index < 28 kg/m 2 , and estimated globular filtration rate > 90 mL/min per 1.73 m 2. Conclusion: This study has advanced the understanding of visceral obesity and our results supported the fact that the HTGW phenotype is associated with elevated UACR excretion among general Chinese adults.

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<p>Visceral Adiposity Index and Chronic Kidney Disease in a Non-Diabetic Population: A Cross-Sectional Study</p>

Cited by 21 publications

References 37 publications

Associations between Metabolic Syndrome and Obesity-Related Indices and Bone Mineral Density T-Score in Hemodialysis Patients

Associations between Metabolic Syndrome and Obesity-Related Indices and Bone Mineral Density T-Score in Hemodialysis Patients

The risk of chronic kidney disease in relation to anthropometric measures of obesity: A Swedish cohort study

<p>Association Between Hypertriglyceridemic Waist Phenotype and Increased Urinary Albumin–Creatinine Ratio in Chinese Adults: The REACTION Study</p>

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