Artikel ; Online: Males With Traumatic Lower Limb Loss Differ in Body Fat Distribution Compared to Those Without Limb Loss.
2021 Band 188, Heft 1-2, Seite(n) e140–e144
Abstract: Objectives: The primary objective was to examine body fat composition in males with traumatic lower limb loss and a comparison group without limb loss. A secondary objective was to determine if there are differences in body fat composition by traumatic ... ...
Abstract | Objectives: The primary objective was to examine body fat composition in males with traumatic lower limb loss and a comparison group without limb loss. A secondary objective was to determine if there are differences in body fat composition by traumatic limb loss level. Research methods and procedures: Cross-sectional analyses of baseline in-person intake data was completed at a large military medical center. Data were collected from 2011 to 2020, and analysis was conducted in 2020. Participants (n = 89) included males who sustained traumatic lower limb loss (n = 50) and an age-matched comparison group without limb loss (n = 39). Mean age of participants was 36.0 ± 13.2 years. Main outcomes measured included age, height, body mass index, weight, body fat mass and percent, android fat mass and percent, gynoid fat mass and percent, and android/gynoid percent fat ratio. Differences between groups were assessed using t-tests or Mann-Whitney U tests. Differences between limb loss levels were assessed using one-way ANOVA or Wilcoxon signed-rank test. Results: Body fat percent (P = .001), gynoid fat percent (P = .010), android fat mass (P = .01), and percent (P = .02) were higher in the group with limb loss. There were no differences in body fat composition between limb loss levels (P > .05). Conclusion: Males with traumatic lower limb loss had a higher body fat percent compared to those without limb loss. Given higher body fat composition in individuals with limb loss and the relationship between body fat composition and cardiovascular disease risk, including body composition analysis with clinical screening could identify changes and allow for early intervention. |
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Mesh-Begriff(e) | Male ; Humans ; Young Adult ; Adult ; Middle Aged ; Cross-Sectional Studies ; Absorptiometry, Photon ; Body Fat Distribution ; Body Composition ; Body Mass Index ; Lower Extremity |
Sprache | Englisch |
Erscheinungsdatum | 2021-06-14 |
Erscheinungsland | England |
Dokumenttyp | Journal Article |
ZDB-ID | 391061-1 |
ISSN | 1930-613X ; 0026-4075 |
ISSN (online) | 1930-613X |
ISSN | 0026-4075 |
DOI | 10.1093/milmed/usab237 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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