Your browser doesn't support javascript.
loading
Quantitative peripheral computed tomography to measure muscle area and assess lean soft tissue mass in children.
Córdoba-Rodríguez, Diana Paola; Iglesia, Iris; Gomez-Bruton, Alejandro; Miguel-Berges, María L; Flores-Barrantes, Paloma; Casajús, José Antonio; Moreno, Luis A; Rodríguez, Gerardo.
Afiliación
  • Córdoba-Rodríguez DP; Food, Nutrition, and Health Research Group, Faculty of Science, Pontificia Universidad Javeriana, Bogota, DC, Colombia.
  • Iglesia I; Growth, Exercise, Nutrition, and Development (GENUD) Research Group, Universidad de Zaragoza, Zaragoza, Spain.
  • Gomez-Bruton A; Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.
  • Miguel-Berges ML; Red de Salud Materno Infantil y del Desarrollo (SAMID), Instituto de Salud Carlos III, Madrid, Spain.
  • Flores-Barrantes P; Growth, Exercise, Nutrition, and Development (GENUD) Research Group, Universidad de Zaragoza, Zaragoza, Spain.
  • Casajús JA; Department of Physiatry and Nursing, Faculty of Health and Sport Sciences (FCSD), Universidad de Zaragoza, Zaragoza, Spain.
  • Moreno LA; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain.
  • Rodríguez G; Growth, Exercise, Nutrition, and Development (GENUD) Research Group, Universidad de Zaragoza, Zaragoza, Spain.
Ann Hum Biol ; 48(2): 93-100, 2021 Mar.
Article en En | MEDLINE | ID: mdl-33470135
ABSTRACT

BACKGROUND:

Skeletal muscle is one of the main components of lean soft tissue mass (LSTM). Low levels in children affect locomotion, posture, and increase the risk of metabolic syndrome.

AIM:

(1) To evaluate the association between muscle cross-sectional area (MCSA) of the lower left leg measured by peripheral quantitative computed tomography (pQCT) and total LSTM; namely, total left leg and left lower leg LSTM assessed by dual-energy X-ray absorptiometry (DXA) in a group of children, (2) to examine if MCSA is a predictor of LSTM, (3) to determine the ability of pQCT to identify children with low LSTM. SUBJECTS AND

METHODS:

Lower left leg MCSA and LSTM were measured using pQCT and DXA, respectively, in 396 children.

RESULTS:

Statistically significant positive correlations were found between the lower leg MCSA - total LSTM (r² = 0.789), total leg LSTM (r² = 0.79), and lower leg LSTM (r² = 0.791) (p < .01). MCSA explained 64-68% of the variance in LSTM. Receiver operator characteristic (ROC) curves determined the capacity of the lower left leg MCSA to identify low LSTM in girls (AUC 0.95) and boys (AUC 0.87).

CONCLUSIONS:

Our results showed that lower left leg MCSA, measured using pQCT, could be a tool to predict low LSTM in children.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Absorciometría de Fotón / Músculo Esquelético / Pierna Tipo de estudio: Prognostic_studies Límite: Child / Female / Humans / Male Idioma: En Revista: Ann Hum Biol Año: 2021 Tipo del documento: Article País de afiliación: Colombia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Absorciometría de Fotón / Músculo Esquelético / Pierna Tipo de estudio: Prognostic_studies Límite: Child / Female / Humans / Male Idioma: En Revista: Ann Hum Biol Año: 2021 Tipo del documento: Article País de afiliación: Colombia