Validation of two portable bioelectrical impedance analyses for the assessment of body composition in school age children

Lee, Li-Wen; Liao, Yi; Lu, Hsueh-Kuan; Hsiao, Pei-Lin; Chen, Yu-Yawn; Ching-Chi, Chi; Hsieh, Kuen-Chang

doi:10.1371/journal.pone.0171568

Cited by 66 publications

(80 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Body composition measurements were separated from the anthropometric and cardiovascular visits by a median of 1.0 year (range 0.05-2.32 years). Excellent agreement has previously been reported between bioimpedance and dual energy X-ray absorptiometry in adults, but a systematic bias with an underestimation of body fat percentage has been observed in children [13,14]. We checked the child lean body mass (LBM) measured with bioimpedance using a previously validated formula based on age, sex, height, weight and BMI Z-score [15].…”

Section: Body Compositionmentioning

confidence: 90%

Transgenerational effects of maternal obesity and gestational diabetes on offspring body composition and left ventricle mass: the Finnish Gestational Diabetes Prevention Study (RADIEL) 6‐year follow‐up

et al. 2019

View full text Add to dashboard Cite

Aim To investigate the influence of maternal adiposity and gestational diabetes on offspring body composition and left ventricle mass in early childhood. Methods The observational follow‐up study included 201 mother‐child pairs, a sub‐cohort from the Finnish Gestational Diabetes Prevention Study, who were recruited 6.1 ± 0.5 (mean ± SD) years postpartum, aiming for an equal number of mothers with and without gestational diabetes. Results Maternal pre‐pregnancy BMI (mean ± SD; 30.5 ± 5.6 kg/m2) was associated with child body fat percentage [0.26 (95% CI; 0.08, 0.44)% increase in child body fat per 1 kg/m2 increase in pre‐pregnancy BMI of mothers with obesity] and was reflected in child BMI Z‐score (mean ± SD; 0.45 ± 0.93). Left ventricle mass, left ventricle mass index and left ventricle mass Z‐score were not associated with gestational diabetes, pre‐pregnancy BMI or child body fat percentage. After adjusting for child sex, body fat percentage, systolic blood pressure, pre‐pregnancy BMI and maternal lean body mass, left ventricle mass increased by 3.08 (95% CI; 2.25, 3.91) g for each 1 kg in child lean body mass. Conclusions Left ventricle mass at 6 years of age is determined predominantly by lean body mass. Maternal pre‐gestational adiposity is reflected in child, but no direct association between left ventricle mass and child adiposity or evidence of left ventricle mass foetal programming related to gestational diabetes and maternal adiposity was observed in early childhood.

show abstract

Section: Body Compositionmentioning

confidence: 90%

Transgenerational effects of maternal obesity and gestational diabetes on offspring body composition and left ventricle mass: the Finnish Gestational Diabetes Prevention Study (RADIEL) 6‐year follow‐up

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Body composition was assessed by BIA using an InBody 230 device (Biospace Co., Shanghai, China), which measures BC indicators including body fat percentage (BF%), the mass and distribution of muscle and fat in trunk, and appendicular extremities. Appendicular skeletal muscle mass index (ASMI) was defined as appendicular skeletal muscle mass/height 2 (kg/m 2 ).…”

Section: Methodsmentioning

confidence: 99%

Myopenia is associated with joint damage in rheumatoid arthritis: a cross‐sectional study

Lin

Liang

et al. 2019

J cachexia sarcopenia muscle

View full text Add to dashboard Cite

Background The link between body mass index (BMI) and disease characteristics in rheumatoid arthritis (RA) remains controversial. Body composition (BC) has been more frequently recommended to be used instead of BMI for more accurate assessment. Our study aimed to investigate the characteristics of BC in RA patients and their associations with disease characteristics. Methods Body composition was assessed in consecutive Chinese RA patients and control subjects by bioelectric impedance analysis. Overfat was defined by body fat percentage (BF%) as ≥25% for men and ≥35% for women. Myopenia was defined by appendicular skeletal muscle mass index (ASMI) ≤7.0 kg/m 2 in men and ≤5.7 kg/m 2 in women. BMI and clinical data including disease activity, function, and radiographic assessment were collected. Active disease was defined by disease activity score in 28 joints with four variables including C‐reactive protein (DAS28‐CRP) ≥2.6. Functional limitation was defined as Stanford health assessment questionnaire disability index (HAQ‐DI) >1. Radiographic joint damage (RJD) was defined as the Sharp/van der Heijde modified sharp score (mTSS) >10. Results There were 457 RA patients (mean age 49.5 ± 13.1 years old with 82.7% women) and 1860 control subjects (mean age 34.3 ± 9.9 years old with 51.2% women) recruited. Comparisons of BMI and BC between RA patients and control subjects in age and gender stratification showed that lower BMI with 17.7% underweight and lower ASMI with 45.1% myopenia are the main characteristics in RA patients. Compared with those without myopenia, RA patients with myopenia had significantly higher DAS28‐CRP (median 3.5 vs. 3.0), higher HAQ‐DI (median 0.38 vs. 0.13) with higher rate of functional limitation (24.8% vs. 7.6%), and higher mTSS (median 22.3 vs. 9.0) with more RJD (71.8% vs. 45.8%) (all P < 0.001). Multivariate logistic regression analysis showed myopenia were positively associated with functional limitation (OR = 2.546, 95% CI: 1.043–6.217) and RJD (OR = 2.660, 95% CI: 1.443–4.904). All RA patients were divided into four BC subgroups according to overfat and myopenia. Those with both overfat and myopenia had the worst disease characteristics. After adjustment for confounding factors, significant additive interactions were observed between overfat and myopenia in active disease (AP = 0.528, 95% CI: 0.086–0.971), functional limitation (AP = 0.647, 95% CI: 0.356–0.937), and RJD (AP = 0.514, 95% CI: 0.139–0.890). Conclusions Myopenia is very common in RA patients that is associated with functional limitation and joint damage in RA. Further research on the underlying mechanism and the effect of skeletal muscle mass improvement in RA management are worth exploring in the future.

show abstract

“…BFP was calculated as (weight‐FFM)/weight * 100. BIA‐derived fat mass has been previously validated against several direct measures of body fat composition . Anthropometric measures included BMI‐for‐age z ‐scores; height (cm); arm, waist, and hip circumferences (cm); and SST (triceps, biceps, subscapular, and suprailiac, mm).…”

Section: Methodsmentioning

confidence: 99%

“…BIA-derived fat mass has been previously validated against several direct measures of body fat composition. 18 Anthropometric measures included BMI-for-age z-scores 19 ; height (cm); arm, waist, and hip circumferences (cm); and SST (triceps, biceps, subscapular, and suprailiac, mm). Height was measured in centimetre with the child standing erect on the floor board of a stadiometer with their back to the vertical backboard of a stadiometer or wall.…”

Section: Childhood Body Fat and Anthropometric Measurementsmentioning

confidence: 99%

Relationships of maternal body mass index and plasma biomarkers with childhood body mass index and adiposity at 6 years: The Children of SCOPE study

et al. 2019

View full text Add to dashboard Cite

Summary Background Maternal obesity has been implicated in the origins of childhood obesity through a suboptimal environment in‐utero. Objective We examined relationships of maternal early pregnancy body mass index (BMI), overweight/obesity, and plasma biomarkers of obesity, inflammation, insulin resistance, and placental function with measures of childhood BMI and adiposity. Methods BMI z‐score, sum of skinfold thicknesses (SST), body fat percentage (BFP, by bioelectrical impedance), and waist, arm, and hip circumferences were measured in 1173 6‐year‐old children of nulliparous pregnant women in the Screening for Pregnancy Endpoints (SCOPE) study, New Zealand. Relationships of maternal early pregnancy (15 weeks' gestation) BMI and biomarkers with these childhood anthropometric measures were assessed by linear regression, with appropriate adjustment. Results 28.1% of mothers were classified as overweight and 10.1% with obesity; compared with normal weight mothers, the BFP of their children were 5.3% higher (0.16 SD [95% CI, 0.04‐0.29] p = .01) and 7.8% higher (0.27 [0.08‐0.47] p = .006) with comparable values for BMI z‐score and arm, waist, and hip circumferences. Early pregnancy maternal BMI and plasma placental growth factor (PlGF) were associated with higher child's SST, BMI z‐score, hip circumference, and BFP. None of the metabolic or inflammatory maternal biomarkers were associated with childhood obesity. Conclusion In this contemporary large prospective cohort study with extensive maternal/childhood phenotyping and a high prevalence of maternal overweight/obesity, we found independent relationships of maternal early pregnancy BMI with childhood BMI and adiposity; similar associations were observed with PlGF, which may imply a role for placenta function in the developmental programming of childhood obesity risk.

show abstract

Validation of two portable bioelectrical impedance analyses for the assessment of body composition in school age children

Cited by 66 publications

References 31 publications

Transgenerational effects of maternal obesity and gestational diabetes on offspring body composition and left ventricle mass: the Finnish Gestational Diabetes Prevention Study (RADIEL) 6‐year follow‐up

Transgenerational effects of maternal obesity and gestational diabetes on offspring body composition and left ventricle mass: the Finnish Gestational Diabetes Prevention Study (RADIEL) 6‐year follow‐up

Myopenia is associated with joint damage in rheumatoid arthritis: a cross‐sectional study

Relationships of maternal body mass index and plasma biomarkers with childhood body mass index and adiposity at 6 years: The Children of SCOPE study

Contact Info

Product

Resources

About