The Validity of Body Adiposity Indices in Predicting Metabolic Syndrome and Its Components among Egyptian Women

Zaki, Moushira Erfan; Kamal, Sanaa; Abdallah, Hanaa Reyad; Yousef, Walaa; Hassan, Nayera E.; Helwa, Iman; Kholoussi, Shams

doi:10.3889/oamjms.2016.036

Cited by 9 publications

(5 citation statements)

References 36 publications

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“…Although recent studies [ 9 , 31 , 32 , 33 ] have suggested that BAI-BF% can provide an estimate of BF% without the need for further adjustment, our results indicate that these estimates will be systematically biased by gender, level of adiposity, and diet. Additionally, BAI-BF% is claimed to have several advantages over BMI, in that it yields similar associations with BF% for men and women and may be more practical to assess in field studies, because it does not require weight measurement and can be used to reflect BF% in adults [ 15 ].…”

Section: Discussioncontrasting

confidence: 78%

“…Additionally, BAI-BF% is claimed to have several advantages over BMI, in that it yields similar associations with BF% for men and women and may be more practical to assess in field studies, because it does not require weight measurement and can be used to reflect BF% in adults [ 15 ]. In this line, Zaki et al [ 31 ] suggested that BAI-BF% could be used to mirror BF% for adult men and women of differing ethnicities without numerical correction. However, as observed by Freedman et al [ 32 ], analyses of body fat that do not control for sex should be interpreted very cautiously; due to the fact that women are generally shorter than men and have more body fat, an analysis of the association between height and body fat might greatly overstate the strength of the association.…”

Section: Discussionmentioning

confidence: 99%

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The Role of Body Adiposity Index in Determining Body Fat Percentage in Colombian Adults with Overweight or Obesity

Ramírez‐Vélez

Correa-Bautista

González-Ruíz

et al. 2017

IJERPH

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The aim of this study is to investigate the accuracy of body adiposity index (BAI) as a convenient tool for assessing body fat percentage (BF%) in a sample of adults with overweight/obesity using bioelectrical impedance analysis (BIA). The study population was composed of 96 volunteers (60% female, mean age 40.6 ± 7.5 years old). Anthropometric characteristics (body mass index, height, waist-to-height ratio, hip and waist circumference), socioeconomic status, and diet were assessed, and BF% was measured by BIA-BF% and by BAI-BF%. Pearson’s correlation coefficient was used to evaluate the correlation between BAI-BF% and BF% assessed by BIA-BF%, while controlling for potential confounders. The concordance between the BF% measured by both methods was obtained with a paired sample t-test, Lin’s concordance correlation coefficient, and Bland-Altman plot analysis. Overall, the correlation between BF% obtained by BIA-BF% and estimated by BAI-BF% was r = 0.885, p < 0.001, after adjusting for potential confounders (age, socioeconomic status, and diet). Lin’s concordance correlation coefficient was moderate in both sexes. In the men, the paired t-test showed a significant mean difference in BF% between the methods (−5.6 (95% CI −6.4 to −4.8); p < 0.001). In the women, these differences were (−3.6 (95% CI −4.7 to −2.5); p < 0.001). Overall, the bias of the BAI-BF% was −4.8 ± 3.2 BF%; p < 0.001), indicating that the BAI-BF% method significantly underestimated the BF% in comparison with the reference method. In adults with overweight/obesity, the BAI presents low agreement with BF% measured by BIA-BF%; therefore, we conclude that BIA-BF% is not accurate in either sex when body fat percentage levels are low or high. Further studies are necessary to confirm our findings in different ethnic groups.

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Section: Discussioncontrasting

confidence: 78%

Section: Discussionmentioning

confidence: 99%

The Role of Body Adiposity Index in Determining Body Fat Percentage in Colombian Adults with Overweight or Obesity

Ramírez‐Vélez

Correa-Bautista

González-Ruíz

et al. 2017

IJERPH

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“…Firstly, we observed that BMI, WC, and TG to steadily increased across the SUA quartiles, and secondly, we observed a significant inverse association with HDL-C. Our study findings are in line with previous studies that showed a positive association between SUA and adiposity such as overweight and obesity. Zaki et al 28 in a cross-sectional study among Egyptian women also reported that BMI and waist-tohip ratio to be correlated with metabolic syndrome. Among studies conducted in Asia, BMI 29 and central obesity 30 have been associated…”

Section: Discussionmentioning

confidence: 91%

“…Our study findings are in line with previous studies that showed a positive association between SUA and adiposity such as overweight and obesity. Zaki et al 28 in a cross‐sectional study among Egyptian women also reported that BMI and waist‐to‐hip ratio to be correlated with metabolic syndrome. Among studies conducted in Asia, BMI 29 and central obesity 30 have been associated with SUA among adults.…”

Section: Discussionmentioning

confidence: 92%

Association between elevated carotid intima‐media thickness and serum uric acid levels among patients with essential hypertension in primary care setting in Sungai Buloh, Malaysia

et al. 2021

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Aims Our study aimed to investigate the association between elevated carotid‐intima media thickness (CIMT) and serum uric acid (SUA) levels in hypertensive patients attending primary care clinics in Sungai Buloh, Malaysia. Methods We conducted a cross‐sectional study on 140 hypertensive patients attending outpatient follow‐up in two primary care clinics in Sungai Buloh, Malaysia, using a convenient sampling method. SUA levels were measured and divided into four quartiles. Two radiologist specialists performed B mode ultrasonography to assess the thickness of the right and left carotid intima media in all participants. Results Participants' mean SUA level was 355.75 ± 0.13. Their mean age was 53.44 (± 9.90), with a blood pressure control of 137.09 ± 13.22/81.89 ± 8.95. Elevated CIMT taken at ≥75th percentile was 0.666 for the left and 0.633 for the right common carotid arteries. By using a hierarchical method of multiple logistic regression, compared with the first quartile of the SUA level as reference group, the odd of elevated CIMT in quartile 4 in the common carotid artery was (OR = 2.00; 95% CI = 0.64‐6.27, P = .576) for the right and (OR = 0.62; 95% CI = 0.20‐2.00, P = .594) for the left. Waist circumference (P = .001), body mass index (P = .013), triglycerides (P < .001), and high‐density lipoprotein cholesterol (P = .001) were significantly associated with the SUA quartiles. Conclusion Although there was an increasing trend in the odd of elevated right CIMT across the SUA quartiles, this association, however, was not significant. Preventive effort to tackle the clustering effect of metabolic markers within this study population is needed to reduce the future risk of developing cardiovascular disease.

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“…However, among the variables used to determine the visceral adiposity index, there are MS diagnosis criteria. Therefore, a correlation between them could exist [ 27 , 31 ], and they should not be used to diagnose SM. Likewise, other authors have used VAI and LAP to establish the presence of T2DM and prediabetes [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Lipid Accumulation Product Is More Related to Insulin Resistance than the Visceral Adiposity Index in the Maracaibo City Population, Venezuela

et al. 2021

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Background. Visceral adiposity is related to insulin resistance (IR), a metabolic state considered as a risk factor for other cardiometabolic diseases. In that matter, mathematical indexes such as the visceral adiposity index (VAI) and the lipid accumulation product (LAP) could indirectly assess IR based on visceral adiposity. Objective. To evaluate the association and diagnostic accuracy of VAI and LAP to diagnose IR in the adult population of Maracaibo city. Methods. This is a cross-sectional descriptive study with multistage sampling. Receiver operating characteristic (ROC) curves were built to determine VAI and LAP cutoff points to predict IR. A set of logistic regression models was constructed according to sociodemographic, psychobiologic, and metabolic variables. Results. 1818 subjects were evaluated (51.4% women). The area under the curve (AUC) values for LAP and VAI were 0.689 (0.665–0.714) and 0.645 (0.619–0.670), respectively. Both indexes showed a higher IR risk in the upper tertile in bivariate analysis. However, in the logistic regression analysis for the IR risk, only the 2nd (OR: 1.91; 95% CI: 1.37–2.65; p < 0.01 ) and 3rd (OR: 5.40; 95% CI: 3.48–8.39; p < 0.01 ) LAP tertiles showed a significant increase. This behaviour was also observed after adjusting for hs-C-reactive protein (hs-CPR). Conclusion. Although both indexes show a low predictive capacity in individuals with IR in the Maracaibo city population, the LAP index was more strongly associated with IR.

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The Validity of Body Adiposity Indices in Predicting Metabolic Syndrome and Its Components among Egyptian Women

Cited by 9 publications

References 36 publications

The Role of Body Adiposity Index in Determining Body Fat Percentage in Colombian Adults with Overweight or Obesity

The Role of Body Adiposity Index in Determining Body Fat Percentage in Colombian Adults with Overweight or Obesity

Association between elevated carotid intima‐media thickness and serum uric acid levels among patients with essential hypertension in primary care setting in Sungai Buloh, Malaysia

Lipid Accumulation Product Is More Related to Insulin Resistance than the Visceral Adiposity Index in the Maracaibo City Population, Venezuela

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