ArticleJournal of education and health promotion2024
Is fat-to-lean mass ratio a better predictor of heart variability than body mass index?
Article in Journal of education and health promotion, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Association analysis of metabolic score for visceral fat with cardiovascular disease: a prospective cohort study based on the China health and retirement longitudinal study.Cardiovascular diagnosis and therapy · 2026Article
- Autonomic Modulation and Body Composition in Educators: Physiological Associations in the Workplace Context.Brain and behavior · 2026Article
- Where Muscle Matters: How Regional Differences, Pain, and Gender Define Gamer Health.International journal of environmental research and public health · 2025Article
- Risk prediction of mechanical complications in acute myocardial infarction patients with prior malignancy.Frontiers in pharmacology · 2025Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBody mass index (BMI) may not accurately predict cardiometabolic risk due to confounders like age, gender, relatively high lean mass, and the "thin-fat phenotype" prevalent in south Asian populations. Fat-to-lean mass ratio (FTLM), which assesses the balance between fat and lean body mass, may provide a more complete assessment of cardiometabolic health. MATERIALS AND
methodsThis cross-sectional analytical study investigated the relationship between FTLM ratio, BMI, and heart rate variability (HRV) in apparently healthy male adults. 88 participants recruited through convenience sampling underwent anthropometric assessments, bioimpedance body composition analysis, and HRV testing. Pearson's or Spearman's correlation and linear regression analyses were performed where appropriate to assess the relationship between FTLM ratio, BMI, and HRV.
resultsBoth BMI and FTLM showed significant positive correlation with normalized LF power and LF-HF ratio and a negative correlation with normalized HF power, RMSSD, and pNN50. However, FTLM ratio showed a stronger association with HRV parameters than BMI and could explain a greater percentage of the variability in LF-HF ratio (32% compared to 18.4%,
conclusionAssessment of both fat and lean mass, expressed as a ratio, is a better index of quantifying adiposity and predicting the influence of altered body composition on cardiometabolic health.
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