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Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study.
Dietzmann, Maximilian; Radke, Dörte; Markus, Marcello Rp; Wiese, Mats; Völzke, Henry; Felix, Stephan B; Dörr, Marcus; Bahls, Martin; Ittermann, Till.
Afiliação
  • Dietzmann M; Institute for Community Medicine, University Medicine Greifswald, Walther Rathenau Str. 48, D-17475, Greifswald, Germany.
  • Radke D; Institute for Community Medicine, University Medicine Greifswald, Walther Rathenau Str. 48, D-17475, Greifswald, Germany.
  • Markus MR; German Centre for Cardiovascular Research (DZHK) partner site Greifswald, Greifswald, Germany.
  • Wiese M; Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
  • Völzke H; Department of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany.
  • Felix SB; Institute for Community Medicine, University Medicine Greifswald, Walther Rathenau Str. 48, D-17475, Greifswald, Germany.
  • Dörr M; German Centre for Cardiovascular Research (DZHK) partner site Greifswald, Greifswald, Germany.
  • Bahls M; German Centre for Cardiovascular Research (DZHK) partner site Greifswald, Greifswald, Germany.
  • Ittermann T; Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
BMC Public Health ; 24(1): 1079, 2024 Apr 18.
Article em En | MEDLINE | ID: mdl-38637778
ABSTRACT

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 (FFMBIA) or air displacement plethysmography (FFMADP). 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 (R2) 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 FFMAPD were greater compared to FFMBIA.

CONCLUSION:

Anthropometric measures were more strongly associated with FFMADP compared to FFMBIA. 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Estatura Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição Corporal / Estatura Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article