anthropometric indices
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Author(s):  
Hamid Soori ◽  
Parinaz Rezapoor ◽  
Hadis Najafimehr ◽  
Toktam Alirezaei ◽  
Rana Irilouzadian

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Navin Suthahar ◽  
Laura M. G. Meems ◽  
Coenraad Withaar ◽  
Thomas M. Gorter ◽  
Lyanne M. Kieneker ◽  
...  

AbstractBody-mass index (BMI), waist circumference, and waist-hip ratio are commonly used anthropometric indices of adiposity. However, over the past 10 years, several new anthropometric indices were developed, that more accurately correlated with body fat distribution and total fat mass. They include relative fat mass (RFM), body-roundness index (BRI), weight-adjusted-waist index and body-shape index (BSI). In the current study, we included 8295 adults from the PREVEND (Prevention of Renal and Vascular End-Stage Disease) observational cohort (the Netherlands), and sought to examine associations of novel as well as established adiposity indices with incident heart failure (HF). The mean age of study population was 50 ± 13 years, and approximately 50% (n = 4134) were women. Over a 11 year period, 363 HF events occurred, resulting in an overall incidence rate of 3.88 per 1000 person-years. We found that all indices of adiposity (except BSI) were significantly associated with incident HF in the total population (P < 0.001); these associations were not modified by sex (P interaction > 0.1). Amongst adiposity indices, the strongest association was observed with RFM [hazard ratio (HR) 1.67 per 1 SD increase; 95% confidence interval (CI) 1.37–2.04]. This trend persisted across multiple age groups and BMI categories, and across HF subtypes [HR: 1.76, 95% CI 1.26–2.45 for HF with preserved ejection fraction; HR 1.61, 95% CI 1.25–2.06 for HF with reduced ejection fraction]. We also found that all adiposity indices (except BSI) improved the fit of a clinical HF model; improvements were, however, most evident after adding RFM and BRI (reduction in Akaike information criteria: 24.4 and 26.5 respectively). In conclusion, we report that amongst multiple anthropometric indicators of adiposity, RFM displayed the strongest association with HF risk in Dutch community dwellers. Future studies should examine the value of including RFM in HF risk prediction models.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Qiwei Ge ◽  
Min Li ◽  
Zhengcheng Xu ◽  
Zhigang Qi ◽  
Huiyan Zheng ◽  
...  

Abstract Background Obesity is associated with type 2 diabetes mellitus (T2DM). However, the obesity index that is most closely related to type 2 diabetes remains controversial. Therefore, the aim of this study was to compare the associations of five anthropometric indices (body mass index [BMI], body adiposity index, waist circumference [WC], waist-to-hip ratio, and waist-to-height ratio [WHtR]) with T2DM among Chinese adults divided into four groups according to sex and age. Methods A total of 4007 adult participants (1669 men and 2338 women) were included in the study. Odds ratios (ORs) and 95% confidence intervals were used with binary logistic regression models to estimate the risk of T2DM for each obesity index. Furthermore, we compared the area under the receiver operating characteristic curve (AUC) of each obesity index for the criterion of T2DM under the influence of risk factors. Results WC had the highest OR (3.211 and 1.452) and AUC (0.783 and 0.614) in both age groups of men. However, WHtR (OR = 2.366, AUC = 0.771) and BMI (OR = 1.596, AUC = 0.647) were the optimal criteria for predicting T2DM among females in the 18–59 and ≥ 60 years age groups, respectively. Conclusions This study suggests that there is a positive association between obesity-related anthropometric indices and T2DM in different sex and age groups. WC appears to be the optimal anthropometric index for predicting T2DM in men. The optimal obesity indices related to T2DM were WHtR and BMI for women aged 18–59 and ≥ 60 years, respectively.


2022 ◽  
Vol 12 (01) ◽  
pp. 35-49
Author(s):  
Bekzod Odilov ◽  
Danfeng Yu ◽  
Amir Muse Mohamud ◽  
Ruxing Zhao ◽  
Ying Zou ◽  
...  

2021 ◽  
Author(s):  
Sahar Saraf-Bank ◽  
Fatemeh Navab ◽  
Mohammad Hossein Rouhan ◽  
Zahra Hajhashemy ◽  
Nafiseh Shokri-mashhadi

Abstract Background: Several clinical studies emphasized the role of bio-diversities of gut microbiota in age-related disorders. Nevertheless, the effect of probiotic administration on sarcopenia indices are unclear. This meta-analysis aimed to investigate the effect of probiotic administration on muscle strength, muscle mass, and muscle function. Methods: We assessed all interventional studies through different electronic databases including PubMed, Scopus, ISI –Web of Science, and Cochrane library using defined keywords from inception to Jun 2021. Studies that investigated the effect of probiotic administration on at least one of the components of sarcopenia or anthropometric indices versus non- probiotics in old adults (>55 years) were included. Results: The initially overall effect of meta-analysis on 1393 participants declared a null effect of probiotic supplementation on main outcomes, including muscle mass (WMD: -0.05, 95% CI: -1.54, 1.43; I-square: 0.0%, P=0.985), and muscle strength (WMD: 0.7, 95% CI: -0.01, 1.40; I-square: 76.8%, P=0.005). Subgroup analysis showed that administration of probiotic supplementation for more than 12 weeks significantly increased muscle strength (WMD: 1.15, 95% CI: 0.86, 1.43; I-square: 0.0%, P=0.679). However, probiotic supplementation had no effect on anthropometric indices, including body mass and body mass index, (WMD: -0.05, 95% CI:-2.57, 1.56; I-square: 0.0%, P=0.976) and (WMD: 0.08, 95% CI:-0.16, 0.32; I-square: 0.0%, P=0.718), respectively. Conclusion: This study confirmed the positive impact of probiotic supplementation on the muscle strength (based on the last definitions by EWGSOP), in particular, probiotic administration for more than 12 weeks. More clinical trials on sarcopenic elderly subjects are wanted to confirm our findings.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monireh Panbehkar-Jouybari ◽  
Mehdi Mollahosseini ◽  
Asieh Panjeshahin ◽  
Mahdieh Hosseinzadeh

Purpose Garlic supplementation may be inversely contributed to body weight and composition; however, previous results have been inconsistent. This study aims to evaluate the effect of garlic supplementation on body weight and composition using a systematic review and meta-analysis. Design/methodology/approach Online databases of PubMed, ISI Web of Science, Scopus and Google Scholar were searched up to January 2020. The random-effects model was used to calculate the effect sizes of the included studies. The risk of bias of included studies was assessed using the Cochrane collaboration’s tool. Besides, the NutriGrade scoring system was applied to judge the credibility of the evidence. Findings In total, 18 studies (with 1,250 participants) were included in the meta-analysis. The pooled analysis revealed that garlic supplementation has a significant increase in body weight [weighted mean difference (WMD) = 0.31 Kg, 95% CI: 0.09, 0.53 Kg, P = 0.005, n = 12 effect sizes]. Waist circumference (WC) does remarkably reduce [WMD = −1.28 cm, 95% CI: −2.08, −0.47 cm, P = 0.002, n = 4 effect size]. However, body mass index, body fat percent and fat-free mass do not dramatically change (P > 0.05). Notably, the pooled analyses on body weight and WC were sensitive to two included studies. NutriGrade’s score was rated low for this meta-analysis. Originality/value Although garlic supplementation could slightly increase weight and simultaneously might decrease WC, these associations were not strong enough to corroborate the findings. Also, other anthropometric indices do not significantly change. Further well-designed randomized clinical trial studies are needed to confirm the results.


2021 ◽  
Author(s):  
Sahar Sobhani ◽  
Saba Vakili ◽  
Dina Javid Jam ◽  
Reihaneh Aryan ◽  
Majid Khadem‐Rezaiyan ◽  
...  

2021 ◽  
Author(s):  
Rezvan Azizi ◽  
Mohammad Azizi ◽  
Worya Tahmasebi ◽  
Hadi Abdollhzad

Abstract Background: Exercise intervention and dietary supplementation are considered as approaches to manage obesity, as well as, metabolic syndrome (MetS). The aim of the present study was to evaluate the effect of sodium alginate supplementation with high intensity interval training (HIIT) or moderate-intensity continuous training (MICT) on serum levels of glucagon and glucagon-like peptide-1 (GLP-1) in women with MetS.Methods: This randomized controlled clinical trial was performed on 46 women with MetS. Participants were randomly divided to six groups including: 1) HIIT+ sodium alginate (HS, n=8); 2) HIIT+ placebo (HP, n=8); 3) MICT+ sodium alginate (MS, n=8); 4) MICT+ placebo (MP, n=8); 5) sodium alginate (S, n=7); and 6) control group (P, n=7). Sodium alginate were prescribed 1.5 gram alone or along with HIIT or MICT sessions (3 times per week). Anthropometric indices, glycemic profile, serum level of glucagon and GLP-1 were measured before and after 8 weeks intervention. Results: In HS, HP, MS, and MP groups the mean of weight (p=0.000), body mass index (p=0.001), fasting blood sugar (p=0.003), insulin (p=0.000), insulin resistance (p=0.043), and glucagon (p=0.011) decreased significantly, however GLP_1 (p=0/01) level increased significantly after intervention.Conclusion: Since HIIT and MICT with or without sodium alginate supplementation leads to improvement in anthropometric indices, glycemic profile, serum GLP-1 and glucagon levels, it can be stated that the training method of the present study is suitable for improving and reducing complications associated with MetS in women.Trial registration: IRCT20191116045457N1. Registered 27 jan 2020, https://en.irct.ir/trial/43776


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