ArticleAmerican journal of human biology : the official journal of the Human Biology Council2023
Fit-Fat Index is better associated with heart rate variability compared to fitness and fatness alone as indicators of cardiometabolic human health.
Article in American journal of human biology : the official journal of the Human Biology Council, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Associations of Fitness, Fatness Indices and Fit-Fat Index Variants With Cardiovascular and All-Cause Mortality in Men.Obesity science & practice · 2026Article
- Fitness-Fatness Index on Predicting Cardiovascular Outcomes in College-Aged Students.International journal of exercise science · 2026Article
- Effects of six traditional Chinese mind-body exercises on obesity and cardiovascular risk factors in middle-aged and elderly hypertensive patients: a network Meta-Analysis of 49 RCTs.BMC cardiovascular disorders · 2025Article
- Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation.European journal of clinical investigation · 2025Review
- Acute Response of Different High-Intensity Interval Training Protocols on Cardiac Auto-Regulation Using Wearable Device.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
objectivesCardiorespiratory fitness and fatness indicators have been related to heart rate variability (HRV) parameters. The Fit-Fat Index (FFI) is a single index combining cardiorespiratory fitness and fatness indicators. To the best of our knowledge, no studies have previously analyzed whether FFI are related to cardiac autonomic nervous system activity assessed through HRV parameters. This study aimed (i) to examine the association of cardiorespiratory fitness, fatness indicators, and FFI with HRV parameters; and (ii) to report what of the different fatness indicators included in FFI is better associated with HRV parameters in sedentary adults.
methodsOne hundred and fifty healthy adults (74 women; 76 men), aged between 18 and 65 years old, participated in this cross-sectional study. We measured cardiorespiratory fitness (maximal oxygen consumption) and fatness indicators (waist-to-height ratio [WHR], fat mass percentage [FM%] and visceral adipose tissue [VAT]). Three FFIs were calculated as the quotient between cardiorespiratory fitness and one out of three possible fatness indicators: Fit-Fat Index calculated waist-to-height ratio (FFI
resultsFFI
conclusionOur study suggests that compound FFIs are better predictors of HRV parameters than either cardiorespiratory fitness or fatness indicators alone. The FFI
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Registered trials
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