Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution

Objectives. Body fat content, fat distribution, and adiponectin level are important variables in the development of obesity related complications. Anthropometric indices may provide an economic and faster method in measuring the risk for complications through their predictive effect of fat distribut...

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Autores principales: Abdalla Mona Mohamed Ibrahim, Soon S. C.
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Lenguaje:EN
Publicado: Sciendo 2017
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Acceso en línea:https://doaj.org/article/a2ae27f936864d7d853f34d225eea527
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spelling oai:doaj.org-article:a2ae27f936864d7d853f34d225eea5272021-12-02T16:33:01ZSalivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution1336-032910.1515/enr-2017-0019https://doaj.org/article/a2ae27f936864d7d853f34d225eea5272017-10-01T00:00:00Zhttps://doi.org/10.1515/enr-2017-0019https://doaj.org/toc/1336-0329Objectives. Body fat content, fat distribution, and adiponectin level are important variables in the development of obesity related complications. Anthropometric indices may provide an economic and faster method in measuring the risk for complications through their predictive effect of fat distribution and adiponectin concentration. We aimed to determine, which of the waist circumference (WC), waist-to-hip ratio (WHR), and body mass index (BMI) may be the best predictor for the total fat percentage (WF), visceral fat level (VF), and subcutaneous whole-body fat (SCWBF). We aimed also to investigate the potential use of the anthropometric measures and fat distribution as predictors for the salivary adiponectin level in the healthy adult males. Subjects. A total of 88 adult males aged between 18−25 years with a wide range of BMI were studied. Anthropometric indices were measured using standardized methods and salivary adiponectin level was assessed using an enzyme-linked immunosorbent assay. Results. In path analysis of the Structural Equation Model (SEM) using IBM@SPSS AMOS, version22, BMI and WC, but not WHR, were strong predictors for WF and SCWBF (p<0.05). BMI but not WC was a strong predictor for VF (p<0.001). WF was strong predictor for SCWBF (p<0.001), but not for VF. BMI, WC, WHR, WF, VF, and SCWBF were poor predictors of the salivary adiponectin level. Conclusion. BMI is the best predictor for the total body fat and fat distribution. However, WHR seems to be of a little value and the salivary adiponectin level independent of BMI and body fat in healthy adult Malay males.Abdalla Mona Mohamed IbrahimSoon S. C.Sciendoarticleadiponectinbody mass indexwaist-to-hip ratiovisceral fatsubcutaneous fatstructural equation modelingDiseases of the endocrine glands. Clinical endocrinologyRC648-665ENEndocrine Regulations, Vol 51, Iss 4, Pp 185-192 (2017)
institution DOAJ
collection DOAJ
language EN
topic adiponectin
body mass index
waist-to-hip ratio
visceral fat
subcutaneous fat
structural equation modeling
Diseases of the endocrine glands. Clinical endocrinology
RC648-665
spellingShingle adiponectin
body mass index
waist-to-hip ratio
visceral fat
subcutaneous fat
structural equation modeling
Diseases of the endocrine glands. Clinical endocrinology
RC648-665
Abdalla Mona Mohamed Ibrahim
Soon S. C.
Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution
description Objectives. Body fat content, fat distribution, and adiponectin level are important variables in the development of obesity related complications. Anthropometric indices may provide an economic and faster method in measuring the risk for complications through their predictive effect of fat distribution and adiponectin concentration. We aimed to determine, which of the waist circumference (WC), waist-to-hip ratio (WHR), and body mass index (BMI) may be the best predictor for the total fat percentage (WF), visceral fat level (VF), and subcutaneous whole-body fat (SCWBF). We aimed also to investigate the potential use of the anthropometric measures and fat distribution as predictors for the salivary adiponectin level in the healthy adult males. Subjects. A total of 88 adult males aged between 18−25 years with a wide range of BMI were studied. Anthropometric indices were measured using standardized methods and salivary adiponectin level was assessed using an enzyme-linked immunosorbent assay. Results. In path analysis of the Structural Equation Model (SEM) using IBM@SPSS AMOS, version22, BMI and WC, but not WHR, were strong predictors for WF and SCWBF (p<0.05). BMI but not WC was a strong predictor for VF (p<0.001). WF was strong predictor for SCWBF (p<0.001), but not for VF. BMI, WC, WHR, WF, VF, and SCWBF were poor predictors of the salivary adiponectin level. Conclusion. BMI is the best predictor for the total body fat and fat distribution. However, WHR seems to be of a little value and the salivary adiponectin level independent of BMI and body fat in healthy adult Malay males.
format article
author Abdalla Mona Mohamed Ibrahim
Soon S. C.
author_facet Abdalla Mona Mohamed Ibrahim
Soon S. C.
author_sort Abdalla Mona Mohamed Ibrahim
title Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution
title_short Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution
title_full Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution
title_fullStr Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution
title_full_unstemmed Salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution
title_sort salivary adiponectin concentration in healthy adult males in relation to anthropometric measures and fat distribution
publisher Sciendo
publishDate 2017
url https://doaj.org/article/a2ae27f936864d7d853f34d225eea527
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