Pediatric obesity · 2025
Relative Fat Mass as an Estimator of Abdominal Adiposity in Youth Across the BMI Spectrum from Normal Weight to Obesity.
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Cho Wonhee, Kim Joon Young, Arslanian Silva
Аннотация
BACKGROUND: Relative fat mass (RFM) has been used to estimate whole-body fat percentage (%BF). However, whether RFM can mirror abdominal adiposity is unknown.
OBJECTIVE: In youth, we examined if RFM reflects abdominal adiposity, if there are age/race/sex differences in the relationships between RFM and abdominal adiposity, and if our present-youth-cohort-derived RFM (RFM-Y) improves the prediction of %BF and abdominal adiposity.
METHODS: In 358 youth (aged 10-19 years; 168 black/198 white) with normal weight and overweight/obesity (without secondary or syndromic obesity), visceral (VAT), subcutaneous (SAT) and total abdominal adipose tissue (TAT) were assessed by MRI/CT and %BF with DXA. RFM was calculated for ages 10-14 years as [74 - (22 × height/waist circumference [WC]) + (5 × sex)] and 15-19 years as [64 - (20 × height/WC) + (12 × sex)]; sex = 0 for boys, 1 for girls. To develop and validate RFM-Y, linear regression, concordance correlation coefficient, Bland-Altman plots and intraclass correlation coefficient were conducted.
RESULTS: RFM associated with VAT, SAT and TAT (r = 0.66, 0.79, 0.79, respectively; all p < 0.001). The slope was significantly greater in (a) younger versus older youth for VAT, SAT and TAT; (b) whites versus blacks for VAT; and (c) girls versus boys for SAT and TAT. RFM-Y versus traditional RFM showed improved predictive ability for %BF (R 2 = 0.83 vs. 0.77) and abdominal adiposity (R 2 ranging from 0.51 to 0.80 vs. 0.37 to 0.63).
CONCLUSIONS: RFM reflects abdominal adiposity besides %BF and could be used in longitudinal/interventional youth trials, obviating the need for expensive imaging to assess changes in total and abdominal adiposity.
OBJECTIVE: In youth, we examined if RFM reflects abdominal adiposity, if there are age/race/sex differences in the relationships between RFM and abdominal adiposity, and if our present-youth-cohort-derived RFM (RFM-Y) improves the prediction of %BF and abdominal adiposity.
METHODS: In 358 youth (aged 10-19 years; 168 black/198 white) with normal weight and overweight/obesity (without secondary or syndromic obesity), visceral (VAT), subcutaneous (SAT) and total abdominal adipose tissue (TAT) were assessed by MRI/CT and %BF with DXA. RFM was calculated for ages 10-14 years as [74 - (22 × height/waist circumference [WC]) + (5 × sex)] and 15-19 years as [64 - (20 × height/WC) + (12 × sex)]; sex = 0 for boys, 1 for girls. To develop and validate RFM-Y, linear regression, concordance correlation coefficient, Bland-Altman plots and intraclass correlation coefficient were conducted.
RESULTS: RFM associated with VAT, SAT and TAT (r = 0.66, 0.79, 0.79, respectively; all p < 0.001). The slope was significantly greater in (a) younger versus older youth for VAT, SAT and TAT; (b) whites versus blacks for VAT; and (c) girls versus boys for SAT and TAT. RFM-Y versus traditional RFM showed improved predictive ability for %BF (R 2 = 0.83 vs. 0.77) and abdominal adiposity (R 2 ranging from 0.51 to 0.80 vs. 0.37 to 0.63).
CONCLUSIONS: RFM reflects abdominal adiposity besides %BF and could be used in longitudinal/interventional youth trials, obviating the need for expensive imaging to assess changes in total and abdominal adiposity.