Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study

Background Low relative fat free mass (FFM) is associated with a greater risk of chronic diseases and mortality. Unfortunately, FFM is currently not being measured regularly to allow for individuals therapy. Objective One reason why FFM is not being used may be related to additional equipment and re...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:BMC public health Ročník 24; číslo 1; s. 1079 - 11
Hlavní autoři: Dietzmann, Maximilian, Radke, Dörte, Markus, Marcello RP, Wiese, Mats, Völzke, Henry, Felix, Stephan B., Dörr, Marcus, Bahls, Martin, Ittermann, Till
Médium: Journal Article
Jazyk:angličtina
Vydáno: London BioMed Central 18.04.2024
BioMed Central Ltd
Springer Nature B.V
BMC
Témata:
Abdomen
Adipose tissue
Adult
Aged
Aged, 80 and over
Analysis
Anthropometry
Bioelectricity
Biostatistics
Blood pressure
Body Composition
Body fat
Body Height
Body Mass Index
Body surface scan, anthropometric parameters
Cardiovascular disease
Chronic diseases
Clinical medicine
Diabetes
Electric Impedance
Environmental Health
Epidemiology
Fat free mass
Fat-free body mass
Female
Glucose
Health aspects
Hip
Humans
Hypertension
Magnetic resonance imaging
Male
Medicine
Medicine & Public Health
Middle Aged
Optical scanners
Plethysmography
Population studies
Population-based studies
Population-based study
Prevention
Public Health
Radiation
Regression analysis
Regression models
Risk factors
Sarcopenia
Scanners
Scanning devices
Sex differences
Software
Vaccine
Germany
Body surface scan, anthropometric parameters
Fat free mass
Population-based study
Cardiovascular disease
Epidemiology
ISSN:1471-2458, 1471-2458
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Background Low relative fat free mass (FFM) is associated with a greater risk of chronic diseases and mortality. Unfortunately, FFM is currently not being measured regularly to allow for individuals therapy. Objective One reason why FFM is not being used may be related to additional equipment and resources, thus we aimed to identify easily accessible anthropometric markers related with FFM. Materials and methods We analyzed data of 1,593 individuals (784 women; 49.2%, age range 28–88 years) enrolled in the population-based Study of Health in Pomerania (SHIP-TREND 1). Forty-seven anthropometric markers were derived from a 3D optical body-scanner. FFM was assessed by bioelectrical impedance analysis (FFM BIA ) or air displacement plethysmography (FFM ADP ). In sex-stratified linear regression models, FFM was regressed on anthropometric measurements adjusted for body height and age. Anthropometric markers were ranked according to the coefficient of determination (R 2 ) derived from these regression models. Results Circumferences of high hip, belly, middle hip, waist and high waist showed the strongest inverse associations with FFM. These relations were stronger in females than in males. Associations of anthropometric markers with FFM APD were greater compared to FFM BIA . Conclusion Anthropometric measures were more strongly associated with FFM ADP compared to FFM BIA . Anthropometric markers like circumferences of the high or middle hip, belly or waist may be appropriate surrogates for FFM to aid in individualized therapy. Given that the identified markers are representative of visceral adipose tissue, the connection between whole body strength as surrogate for FFM and fat mass should be explored in more detail.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1471-2458
1471-2458
DOI:10.1186/s12889-024-18611-w