Body composition and musculoskeletal fitness : A cluster analysis for the identification of risk phenotypes for pediatric sarcopenia
Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved..
BACKGROUND AND AIM: Sarcopenia is primarily a disease in older people characterized by reduced muscle mass and strength. Nevertheless, sarcopenia may, at least partially, have pediatric origins. The study aimed to identify risk phenotypes for sarcopenia in healthy young people using clustering analysis procedures based on body composition and musculoskeletal fitness.
METHODS: We conducted a cluster cross-sectional analysis of data from 529 youth aged 10-18 yr. Body composition was assessed using whole-body dual-energy x-ray absorptiometry (DXA), determining: lean body mass index (LBMI, kg/m2), fat body mass index (FBMI, kg/m2), abdominal FBMI (kg/m2), and lean body mass/fat body mass ratio (LBM/FBM); body mass index was also calculated (BMI, kg/m2). Musculoskeletal fitness was assessed using handgrip strength (kg) and vertical jump power (W) tests. Results were presented as absolute values and adjusted by body mass. Plank endurance (s) was also assessed. All variables were sex and age in years standardized (Z-score). LBMI or LBM/FBM ratio ≤ -1 SD were used to identify participants at risk for sarcopenia. Maturity was estimated as the years of distance from the peak height velocity (PHV) age.
RESULTS: Using the Z-score means for body composition and musculoskeletal fitness and having LBMI or LBM/FBM ratio as the categorical variables (at risk vs. not at risk), the cluster analyses indicated three homogeneous groups (phenotypes, P): P1, risk body composition and unfit; P2, non-risk body composition and non-fit, and P3, non-risk body composition and fit. With the LBMI as a categorical variable, the ANOVA models showed that the body composition and absolute values of musculoskeletal fitness were in P1 < P2 < P3 and the estimated PHV age of P1 > P3 in both sexes (p < 0.001). Having the LBM/FBM as a categorical variable, higher values of BMI, FBMI, and abdominal FBMI, and lower values of handgrip strength and vertical jump power both adjusted for body mass and plank endurance were observed in P1 than in P2 and/or P3 and the P2 than in the P3 in boys and girls (p < 0.001).
CONCLUSIONS: Two risk phenotypes for sarcopenia were identified in apparently healthy young people: I. a low LBMI phenotype with low BMI and II. a low LBM to FBM phenotype with high BMI and FBMI. In both risk phenotypes I and II, musculoskeletal fitness was low. For screening, we suggest using absolute measures of handgrip strength and vertical jump power in phenotype I and body mass adjusted measures of these markers, as well as the plank endurance time in phenotype II.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:42 |
|---|---|
| Enthalten in: |
Clinical nutrition (Edinburgh, Scotland) - 42(2023), 7 vom: 27. Juli, Seite 1151-1158 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Torres-Costoso, Ana [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Adolescents |
|---|
| Anmerkungen: |
Date Completed 19.06.2023 Date Revised 24.11.2023 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1016/j.clnu.2023.05.008 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM357469720 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM357469720 | ||
| 003 | DE-627 | ||
| 005 | 20231226072647.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.clnu.2023.05.008 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1191.xml |
| 035 | |a (DE-627)NLM357469720 | ||
| 035 | |a (NLM)37244754 | ||
| 035 | |a (PII)S0261-5614(23)00150-4 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Torres-Costoso, Ana |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Body composition and musculoskeletal fitness |b A cluster analysis for the identification of risk phenotypes for pediatric sarcopenia |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 19.06.2023 | ||
| 500 | |a Date Revised 24.11.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved. | ||
| 520 | |a BACKGROUND AND AIM: Sarcopenia is primarily a disease in older people characterized by reduced muscle mass and strength. Nevertheless, sarcopenia may, at least partially, have pediatric origins. The study aimed to identify risk phenotypes for sarcopenia in healthy young people using clustering analysis procedures based on body composition and musculoskeletal fitness | ||
| 520 | |a METHODS: We conducted a cluster cross-sectional analysis of data from 529 youth aged 10-18 yr. Body composition was assessed using whole-body dual-energy x-ray absorptiometry (DXA), determining: lean body mass index (LBMI, kg/m2), fat body mass index (FBMI, kg/m2), abdominal FBMI (kg/m2), and lean body mass/fat body mass ratio (LBM/FBM); body mass index was also calculated (BMI, kg/m2). Musculoskeletal fitness was assessed using handgrip strength (kg) and vertical jump power (W) tests. Results were presented as absolute values and adjusted by body mass. Plank endurance (s) was also assessed. All variables were sex and age in years standardized (Z-score). LBMI or LBM/FBM ratio ≤ -1 SD were used to identify participants at risk for sarcopenia. Maturity was estimated as the years of distance from the peak height velocity (PHV) age | ||
| 520 | |a RESULTS: Using the Z-score means for body composition and musculoskeletal fitness and having LBMI or LBM/FBM ratio as the categorical variables (at risk vs. not at risk), the cluster analyses indicated three homogeneous groups (phenotypes, P): P1, risk body composition and unfit; P2, non-risk body composition and non-fit, and P3, non-risk body composition and fit. With the LBMI as a categorical variable, the ANOVA models showed that the body composition and absolute values of musculoskeletal fitness were in P1 < P2 < P3 and the estimated PHV age of P1 > P3 in both sexes (p < 0.001). Having the LBM/FBM as a categorical variable, higher values of BMI, FBMI, and abdominal FBMI, and lower values of handgrip strength and vertical jump power both adjusted for body mass and plank endurance were observed in P1 than in P2 and/or P3 and the P2 than in the P3 in boys and girls (p < 0.001) | ||
| 520 | |a CONCLUSIONS: Two risk phenotypes for sarcopenia were identified in apparently healthy young people: I. a low LBMI phenotype with low BMI and II. a low LBM to FBM phenotype with high BMI and FBMI. In both risk phenotypes I and II, musculoskeletal fitness was low. For screening, we suggest using absolute measures of handgrip strength and vertical jump power in phenotype I and body mass adjusted measures of these markers, as well as the plank endurance time in phenotype II | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Adolescents | |
| 650 | 4 | |a Children | |
| 650 | 4 | |a Fat mass | |
| 650 | 4 | |a Handgrip strength | |
| 650 | 4 | |a Lean mass | |
| 650 | 4 | |a Sarcopenia | |
| 650 | 4 | |a Vertical jump power | |
| 700 | 1 | |a Zymbal, Vera |e verfasserin |4 aut | |
| 700 | 1 | |a Janz, Kathleen F |e verfasserin |4 aut | |
| 700 | 1 | |a Martínez Vizcaíno, Vicente |e verfasserin |4 aut | |
| 700 | 1 | |a Baptista, Fátima |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Clinical nutrition (Edinburgh, Scotland) |d 1982 |g 42(2023), 7 vom: 27. Juli, Seite 1151-1158 |w (DE-627)NLM08284366X |x 1532-1983 |7 nnns |
| 773 | 1 | 8 | |g volume:42 |g year:2023 |g number:7 |g day:27 |g month:07 |g pages:1151-1158 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.clnu.2023.05.008 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 42 |j 2023 |e 7 |b 27 |c 07 |h 1151-1158 | ||