Waist Circumference to Height Ratio: Better Correlation with Fat Mass Than Other Anthropometric Indices During Dietary Weight Loss in Different Rates

Ashtary‐Larky, Damoon; Daneghian, Sevana; Alipour, Meysam; Rafiei, Hossein; Ghanavati, Matin; Tahamtan, R A Mohammadpour; Kooti, Wesam; Ashtary-Larky, Pouya; Afrisham, Reza

doi:10.5812/ijem.55023

Cited by 40 publications

(29 citation statements)

References 33 publications

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“…Traditionally, the use of dietary interventions has been shown as a priority method for losing BFP (12) . However, evidence has shown that energy restriction may decrease resting and total energy expenditure due to a reduction in LBM, which in turn stops BW decrements (13,14) . Indeed, Renzo et al (15) reported that women with NWO display lower RMR compared with lean, overweight and obese individuals due to the significant differences in LBM.…”

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The effect of 12 weeks of euenergetic high-protein diet in regulating appetite and body composition of women with normal-weight obesity: a randomised controlled trial

et al. 2020

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Normal weight obesity (NWO) syndrome is associated with metabolic diseases. The present study aimed to investigate the effects of 12 weeks of a high-protein (HP) versus a standard protein (SP) diet on appetite, anthropometry, and body composition in NWO women. In this clinical trial, 50 NWO women were randomly allocated to an HP (n=25) or an SP (n=25) diet groups. Women in the HP and SP groups consumed 25% and 15% of their total energy intake from protein for 12 weeks. Weight, fat mass (FM), lean body mass (LBM), waist circumference (WC), and appetite were evaluated at baseline and following their three-month intervention. After 12 weeks, the LBM was higher in HP compared to no significant changes in the SP group [mean between-group difference= 1.5 kg (95% confidence interval {CI}, 3.1 to 0.01, effect size {d}= 0.4)]. Furthermore, the HP group had lower FM [mean between-group difference, -1.1 kg (95% CI, 1 to -3.3; d= -0.2)], body fat percentage (BFP) [mean between-group difference, -2 % (95% CI, 0.7 to -5.2; d= -0.3)] and WC [mean between-group difference, -1.4 cm (95% CI, 0.6 to -3.6; d= -0.2)] at the end of the study in comparison to the SP group. In both groups, weight and appetite were unchanged over time without significant differences between groups. 12 weeks of eucaloric diets with different dietary protein content resulted in no significant weight loss in women with NWO. However, an HP diet significantly improved body composition (LBM, FM, BFP, and WC) in this population.

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The effect of 12 weeks of euenergetic high-protein diet in regulating appetite and body composition of women with normal-weight obesity: a randomised controlled trial

et al. 2020

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“…This index is closely related to metabolic risk factors and mortality, independent of body weight. 19,20 Body composition differs among all ethnic groups and different populations worldwide. Thus, what is the best way to assess the obesity associated with metabolic diseases using anthropometric indices is still controversial.…”

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What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios

Tutunchi

Ebrahimi-Mameghani

Ostadrahimi

et al. 2020

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Background: Planning for obesity prevention is an important global health priority. Our aim in this study was to find the optimal cut-off points of waist circumference (WC), waist- to- hipratio (WHR) and waist- to- height ratio (WHtR), as three anthropometric indices, for prediction of overweight and obesity. We also aimed to compare the predictive ability of these indices to introduce the best choice. Methods: In this cross-sectional study, a total of 500 subjects were investigated. Anthropometric indicators were measured using a standard protocol. We considered body mass index (BMI) as the simple and most commonly used index for measuring general obesity as the comparison indicator in the present study to assess the diagnostic value for other reported obesity indices.We also performed receiver operating characteristic (ROC) curve analysis to define the optimal cut-off points of the anthropometric indicators and the best indices for overweight and obesity. Results: The proposed optimal cut-offs for WC, WHtR, and WHR were 84 cm, 0.48 and 0.78for women and 98 cm, 0.56 and 0.87 for men, respectively. The area under the ROC curve ofWHtR (women: AUC=0.97, 95% CI: 0.96-0.99 vs. men: AUC=0.97, 95%CI: 0.96-0.99) and WC(women: AUC=0.97, 95% CI, 0.95-0.99 vs. men: AUC=0.98, 95% CI: 0.97-0.99) were greater than WHR (women: AUC=0.79, 95% CI =0.74-0.85 vs. men: AUC=0.84, 95% CI=0.79-0.88). Conclusion: This study demonstrated that the WC and WHtR indicators are stronger indicators compared to the others. However, further studies using desirable and also local cutoffs against more accurate techniques for body fat measurement such as computerized tumor (CT) scans and dual-energy x-ray absorptiometry (DEXA) are required.

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“…WHO defines obesity as an excessive accumulation of fat to the extent that health may be impaired (7) . Therefore, in addition to weight loss (WL) in general, preferential reduction of fat mass (FM) may be the best way to manage obesity and its complications (8) . As such, the relationships between FM and fat-free mass (FFM) during WL are worthy of consideration.…”

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Effects of gradual weight loss v. rapid weight loss on body composition and RMR: a systematic review and meta-analysis

et al. 2020

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This systematic review and meta-analysis compared the effects of different rates of weight loss (WL), but equivalent total WL, on body composition and resting metabolic rate (RMR). Studies examining gradual vs. rapid WL on body composition and RMR in participants with overweight/obesity published up to October 2019 were identified through PubMed, the Cochrane Library, Web of Science, Embase, SCOPUS, and Ovid databases. Meta-analysis was carried out using a fixed or random-effects model as appropriate. Although the magnitude of WL was similar (mean difference: 0.03 kg, 95% CI [-0.65, 0.71]), gradual WL promoted greater reductions in fat mass (FM) (-1 kg, 95% CI [-1.70, -0.29]) and body fat percentage (BFP) (-0.83%, 95% CI [-1.49, -0.17]). Gradual WL significantly preserved RMR compared with rapid WL (97.39 kcal, 95% CI [76.76, 118.01]). However, there was no significant difference in waist and hip circumferences, waist-to-hip ratio (WHR), and fat-free mass (FFM) between gradual and rapid WL. The present systematic review and meta-analysis indicates beneficial effects of gradual WL, as compared to rapid WL, on FM, BFP, and RMR in individuals with overweight/obesity. However, FFM changes and anthropometric indices did not significantly differ following different rates of WL.

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Waist Circumference to Height Ratio: Better Correlation with Fat Mass Than Other Anthropometric Indices During Dietary Weight Loss in Different Rates

Cited by 40 publications

References 33 publications

The effect of 12 weeks of euenergetic high-protein diet in regulating appetite and body composition of women with normal-weight obesity: a randomised controlled trial

The effect of 12 weeks of euenergetic high-protein diet in regulating appetite and body composition of women with normal-weight obesity: a randomised controlled trial

What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios

Effects of gradual weight loss v. rapid weight loss on body composition and RMR: a systematic review and meta-analysis

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