Background: Fat-free mass index (FFMI) and fat mass index (FMI) are superior to BMI and fat percentage in evaluating nutritional status. However, existing references fail to account for racial/ethnic differences in body composition among children.
Objectives: Our goal was to produce age-based normative references for FFMI and FMI in children for specific racial/ethnic groups.
Methods: Body composition, weight, and height were measured in 1122 normal healthy children aged 2-21 y. Bone mineral content measured by DXA, total body water by deuterium dilution, and total body potassium by whole-body γ counting were combined to calculate fat-free mass (FFM) and fat mass (FM) using equations based on the Reference Child and Adolescent models. FFMI and FMI were calculated by dividing FFM and FM by height squared, respectively. After outlier removal, the LMS (Lambda-Mu-Sigma) function within R's GAMLSS package was used to produce age-based FFMI and FMI growth curves for black (B), white (W), and Hispanic (H) children for each sex. Combined models were produced in cases where outcomes did not differ by race/ethnicity. Resulting models were compared with previously published FFMI and FMI models.
Results: FFMI and FMI models based on 1079 children, aged 2-21 y, were created for both sexes. FFMI models for B children showed higher values throughout. W and H children were combined to produce FFMI models for each sex. H boys were modeled individually for FMI, whereas W and B boys were combined. FMI models for girls were created for each race/ethnicity. Models agreed well with those based on children from the United Kingdom of comparable race/ethnicity.
Conclusions: Race/ethnicity-specific references for FFMI and FMI will increase the accuracy of health and nutrition status assessment in children over race/ethnicity-generic references. The models allow the calculation of SD scores to assess health and nutrition status in children.
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http://dx.doi.org/10.1093/ajcn/nqaa128 | DOI Listing |
Pediatr Pulmonol
January 2025
Pulmonary and Sleep Medicine, DeVos Children's Hospital, Grand Rapids, Michigan, USA.
Objective: We prospectively monitored rates of change for growth, body mass and composition, muscle strength, and FEV1 in 6-11-year-olds initiating ETI therapy, comparing them to those of US reference children. We assessed factors potentially contributing to rate of change and report ranges of individual variation.
Methods: Body composition was assessed using bioelectrical impedance analysis (BIA), and rates of change were analyzed using linear mixed effects regression models.
Clin Endocrinol (Oxf)
December 2024
Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Background: Osteocalcin is a metabolic active hormone, which correlates positively with bone formation and inversely with body mass index and waist circumference in adults.
Objectives: To investigate whether osteocalcin in infancy and early childhood were related to childhood growth or body composition.
Methods: A Swedish longitudinal birth cohort with blood samples from 551 children from birth until 5 years of age.
Matern Child Nutr
December 2024
Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
The relationship between the famine and metabolic syndrome has been reported, but there is a lack of more detailed changes in metabolic profiles. It is unclear how famine affects body composition. This study included 21,142 participants from the China National Health Survey.
View Article and Find Full Text PDFClin Nutr
January 2025
Department of Endocrinology-Diabetology-Nutrition, Home Parenteral Nutrition Centre, CHU Rennes, Rennes, France; INRAE, INSERM, Univ Rennes, NuMeCan, Nutrition Metabolisms Cancer, Rennes, France. Electronic address:
Background & Aims: There is still some uncertainty towards the best method to diagnose the sarcopenic obesity, and specifically, altered body composition. A recent international consensus proposes the association of increased fat mass (FM) with reduced skeletal muscle mass adjusted by weight (SMM/W) (method 1). The ratio of fat mass index (FMI)/fat free mass index (FFMI) (method 2) has also been proposed.
View Article and Find Full Text PDFClin Endocrinol (Oxf)
December 2024
Department of Gastroenterology and Urology Medicine, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Objective: The triglyceride glucose (TyG) index, a novel and easily obtained marker of insulin resistance (IR), has been shown to predict metabolic diseases. Monitoring body composition is crucial in assessing disease states. This study aimed to investigate the relationship between body composition and IR as assessed by the TyG index.
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