Więch P, Chmiel Z, Bazaliński D, Sobolewski M, Sałacińska I. Body Composition and Selected Nutritional Indicators in Healthy Adults-A Cross-Sectional Study.
Glob Adv Health Med 2021;
10:21649561211021794. [PMID:
34158999 PMCID:
PMC8182172 DOI:
10.1177/21649561211021794]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 05/09/2021] [Accepted: 05/12/2021] [Indexed: 12/25/2022] Open
Abstract
Background
Body mass composition is subject to constant change and is multifactorially
determined. Its analysis in different age groups allows a better
understanding of the determinants of the human organism in health and
disease.
Aim
The study was aimed to conduct cross-sectional assessment of body composition
and selected nutritional indicators in healthy adults.
Methods
The cross-sectional study carried out from March 2016 to April 2018 was
preceded by a monthly pilot study. All 1333 adults (women 795, 59.6%) aged
20–59 included in the study were from the urban and rural area of the
Podkarpackie Province (Poland). These adults were classified into four
10-year age bands. To obtain reliable assessment, selected screening
(anthropometry) and in-depth (bioelectrical impedance including phase angle
and bioelectrical impedance vector analysis) methods were used.
Results
In women, the proportion of individuals affected by overweight and obesity
increases significantly with age, with a less pronounced trend in men, as
reflected in the observed differences in individual body composition
components. A slight (0.45–0.60) correlation was also observed between body
mass index (BMI) and percentage of fat mass (FM %) among men with an
increasing strength of the association with age, decreasing in the
50–59 years group. In the female group, the correlations described are at a
much higher level (0.80 or higher). The described changes in body
composition were reflected in body type from athletic to obese, measured by
means of the bioelectrical impedance vector analysis (BIVA) method.
Conclusions
Age and gender significantly differentiate body composition of the adult
human body. The body composition analysis should be considered as complement
screening assessment method, especially as a support for the assessment of
nutritional status expressed by BMI.
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