Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome.

Body composition Health personnel Metabolic syndrome Sedentary behavior

Journal

Journal of diabetes and metabolic disorders
ISSN: 2251-6581
Titre abrégé: J Diabetes Metab Disord
Pays: Switzerland
ID NLM: 101590741

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 07 03 2021
accepted: 16 06 2021
pubmed: 20 7 2021
medline: 20 7 2021
entrez: 19 7 2021
Statut: epublish

Résumé

Metabolic syndrome is one of the outcomes of a sedentary lifestyle in the modern world. In this study, we want to introduce the predictors of metabolic syndrome using anthropometric indices and Bio-Electrical Impedance Analysis (BIA) test values. This cross-sectional study was performed on 2284 employees of Tehran University of Medical Sciences in different job categories. Metabolic syndrome was determined according to IDF criteria. Anthropometric dimensions, para-clinical tests, basic information were collected from the participants. Also, the body analysis of the participants was performed using a BIA method. The prevalence of metabolic syndrome in this study was 23.2% based on IDF criteria, which was 21% and 26.6% in men and women, respectively. The most important factor among the components of IDF criteria was HDL deficiency. In this study, neck circumference, fat mass, visceral fat, muscle mass percentage and waist to height ratio were observed as predictors of metabolic syndrome. This study realized that there is association between fat mass, fat-free mass, visceral fat and muscle mass which all are some elements of body composition analysis and metabolic syndrome as a major health issue.

Identifiants

pubmed: 34277496
doi: 10.1007/s40200-021-00836-w
pii: 836
pmc: PMC8275900
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1169-1178

Informations de copyright

© Springer Nature Switzerland AG 2021.

Déclaration de conflit d'intérêts

Conflict of interestOn behalf of all authors, the corresponding author states that there is no conflict of interest.

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Auteurs

Hamidreza Pouragha (H)

Center for Research on Occupational Diseases, Tehran University of Medical Sciences, Tehran, Iran.

Mehdi Amiri (M)

Occupational Medicine Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Maryam Saraei (M)

Department of Occupational Medicine, School of Medicine Baharlou Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Gholamreza Pouryaghoub (G)

Center for Research on Occupational Diseases, Tehran University of Medical Sciences, Tehran, Iran.

Ramin Mehrdad (R)

Center for Research on Occupational Diseases, Tehran University of Medical Sciences, Tehran, Iran.

Classifications MeSH