Lean body mass is the strongest anthropometric predictor of left ventricular mass in the obese paediatric population

Shea, James R; Henshaw, Melissa Howard; Carter, Janet; Chowdhury, Shahryar M

doi:10.1017/s1047951120000311

Cited by 6 publications

(5 citation statements)

References 29 publications

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“…Our analysis also confirms that scaling to LBM is best accomplished with a coefficient of 0.85 when derived from a reference group with normal body composition. This is in agreement with previous smaller studies which have found an allometric coefficient close of 0.9 (George et al 2009;Giraldeau et al 2015;Krysztofiak et al 2019;Martinho et al 2020;Shea et al 2020) . Compared to other body size metrics, LBM was more strongly associated with LVM and LVEDV and therefore had the lowest coefficient of variation.…”

Section: Discussionsupporting

confidence: 94%

Defining left ventricular remodeling using lean body mass allometry: a UK Biobank study

et al. 2023

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Purpose:The geometric patterns of ventricular remodeling are determined using indexed left ventricular mass (LVM), end-diastolic volume (LVEDV) and concentricity, most often measured using the mass to volume ratio (MVR). The aims of this study were to validate lean body mass (LBM) based allometric coefficients for scaling and to determine an index of concentricity that is independent of both volume and LBM.Methods: Participants from the UK Biobank who underwent both CMR and dual-energy x-ray absorptiometry (DXA) during 2014-2015 were considered (n=5064). We excluded participants aged ≥70 years or those with cardiometabolic risk factors. We determined allometric coefficients for scaling using linear regression of the logarithmically transformed ventricular remodeling parameters. We further defined a multiplicative allometric relationship for LV concentricity (LVC) adjusting for both LVEDV and LBM.Results: A total of 1638 individuals (1057 female) were included. In subjects with lower body fat percentage (<25% in males, <35% in females, n= 644), the LBM allometric coefficients for scaling LVM and LVEDV were 0.85±0.06 and 0.85±0.03 respectively (R 2 = 0.61 and 0.57, P<0.001) with no evidence of sex-allometry interaction. While the MVR was independent of LBM, it demonstrated a negative association with LVEDV in (females: r= -0.44, P<0.001; males: -0.38, P< 0.001). In contrast, LVC was independent of both LVEDV and LBM [LVC = LVM / (LVEDV 0.40 × LBM 0.50 )] leading to increased overlap between LV hypertrophy and higher concentricity.Conclusions. We validated allometric coefficients for LBM based scaling for CMR indexed parameters relevant for classifying geometric patterns of ventricular remodeling.

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Section: Discussionsupporting

confidence: 94%

Defining left ventricular remodeling using lean body mass allometry: a UK Biobank study

et al. 2023

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“…Lean body mass (LBM) or skeletal muscle mass plays a key role in energy metabolism, and the promotion of LBM and muscular strength is always advocated in preventing obesity‐related metabolic abnormalities, as well as geriatric sarcopenia and frailty 1–3 . Elevated blood pressure (BP) and hypertension are major risk factors of several cardiovascular diseases (CVDs), and generate huge health and economic burdens 4–6 . The unfavorable relationship between LBM and hypertension has been found in cross‐sectional studies, while opposite findings were also reported 7–10 .…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3] Elevated blood pressure (BP) and hypertension are major risk factors of several cardiovascular diseases (CVDs), and generate huge health and economic burdens. [4][5][6] The unfavorable relationship between LBM and hypertension has been found in cross-sectional studies, while opposite findings were also reported. [7][8][9][10] Such inconsistency was probably resulted from the variances of populations, as well as the utilities of different measurements of LBM.…”

Section: Introductionmentioning

confidence: 99%

A prospective cohort study on the association of lean body mass estimated by mid‐upper arm muscle circumference with hypertension risk in Chinese residents

Liu

Sun

2022

J of Clinical Hypertension

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The associations of lean body mass (LBM) with elevated blood pressure (BP) and hypertension were controversial, and the causalities have never been shown. Mid-upper arm muscle circumference (MAMC), an easily obtained anthropometric measurement, could provide an accurate estimate for LBM. Therefore, a prospective cohort study in general Chinese residents aiming to find out the relationship between LBM estimated using MAMC and hypertension risk was performed. Eight thousand one hundred eighty-five eligible participants were included in the baseline analysis, among whom 3442 were subsequently selected into cohort analysis. MAMC was calculated using mid-upper arm circumference (MUAC) and triceps skinfold thickness (TST). Associations of MAMC with BP values and hypertension prevalence were estimated by linear and logistic regression models. Associations with hypertension incidence were estimated by COX regression models, hazard ratio (HR) and 95% confidence interval (CI) were given. Nonlinear relationship between MAMC and hypertension risk was estimated using restricted cubic spline method. Standardized coefficients of MUAC and TST were compared to estimate their strengths of associations with hypertension.Baseline analysis showed that after adjusted for confounders, the increase of systolic

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“…where 𝒒 𝑖 (𝑠) is the basis of the i-th model term at s-th selection iteration. At the first iteration when 𝑠 = 1, the initial basis is selected as 𝒒 𝑖 (1) = 𝝋 𝑖 , 𝑖 = 1,2, … 𝑀. At each step, the significant term can be selected as 𝒒 𝑠 = 𝒒 𝑙 𝑠 (𝑠) ,…”

Section: The Proposed Tsf-narx Modelmentioning

confidence: 99%

“…Body Mass Index (BMI) describes the relationship between the mass and height of human. It is a critical indicator for the medical research and diagnosis, especially in the field of obesity, maturity and heritability [1][2][3]. The conventional measurement of human BMI is derived from the weight and the square of body height.…”

Section: Introductionmentioning

confidence: 99%

New Measurement of the Body Mass Index with Bioimpedance Using a Novel Interpretable Takagi-Sugeno Fuzzy NARX Predictive Model

He¹,

Gu²,

Wei³

et al. 2022

Recent Advances in AI-enabled Automated Medical Diagnosis

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Body Mass Index (BMI) is an important and useful indicator for medical diagnoses, accurate monitoring and forecasting of BMI are therefore crucial. However, the current measurement of BMI, which is usually highly correlated with the environmental and individual conditions, is inaccurate. Recent developments of bioelectrical impedance show that there is a great potential to improve the measurement of BMI. In this paper, we propose a novel interpretable Takagi-Sugeno Fuzzy NARX (TSF-NARX) model to predict BMI values from bioimpedance signals and anthropometric factors. The proposed model integrates the Nonlinear Auto Regressive Moving Average with Exogenous Input (NARMAX) method and Takagi-Sugeno fuzzy inference. An obvious novelty and advantage of the proposed method is that it provides a new framework, combining the capabilities of fuzzy inference and NARX representation empowered by nonlinear membership functions. The experimental results show that the TSF-NARX model outperforms other models in prediction accuracy and consistency. More importantly, the model identifies both the key 4 Book Title frequency bands and anthropometric factors that highly affect the BMI. The proposed model provides a tool for obtaining accurate, interpretable and robust measurement against the intra and extra uncertainty within the clinical diagnosis.

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Lean body mass is the strongest anthropometric predictor of left ventricular mass in the obese paediatric population

Cited by 6 publications

References 29 publications

Defining left ventricular remodeling using lean body mass allometry: a UK Biobank study

Defining left ventricular remodeling using lean body mass allometry: a UK Biobank study

A prospective cohort study on the association of lean body mass estimated by mid‐upper arm muscle circumference with hypertension risk in Chinese residents

New Measurement of the Body Mass Index with Bioimpedance Using a Novel Interpretable Takagi-Sugeno Fuzzy NARX Predictive Model

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