SynthesisJournal of translational medicine2024
High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review.
Synthesis in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Anthropometric-based predictive equations developed with multi-component models for estimating body composition in athletes.European journal of applied physiology · 2025Pooled it
- Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Review
- Are Bioimpedance Parameters Altered in Adults With Down Syndrome? A Cross-Sectional Study.Journal of intellectual disability research : JIDR · 2026Article
- What is measured and what is estimated in body composition? A clarification framework for terminology and interpretation.Reviews in endocrine & metabolic disorders · 2026Review
- Body composition, geography and ethnicity: understanding the associations with health.European journal of clinical nutrition · 2026Review
- Bioimpedance: From Body Composition Assessment to Emerging Technologies in Clinical Nutrition.Nutrients · 2026Review
- Visceral Obesity and Its Complications: The Role of Bioelectrical Impedance Analysis in Longevity Medicine.Metabolites · 2026Review
- Metrology in Bioelectrical Impedance Analysis (BIA): From Measurement Science to Clinical and Research Applications.Sensors (Basel, Switzerland) · 2026Review
- Fat-Free Mass Predictions From Anthropometrics in South African Prepubertal Children.Journal of paediatrics and child health · 2026Article
- Assessment of cognitive load through photoplethysmography and bioimpedance responses during mental arithmetic tasks.Scientific reports · 2026Article
- Acute Resistance Exercise Temporarily Reduces Circulating Adiponectin in Trained Young Men: A Pilot Study.Biomolecules · 2026Article
- Evaluation of Skinfolds Based Predictive Equations for Estimating Body Fat Percentage in Older Adults: A Comparison Using Digital Adipometer (Lipowise) and Dual-Energy X-Ray Absorptiometry (DXA).Clinical obesity · 2026Article
- Analysis of body composition characteristics in patients with type 1 diabetes mellitus: a case-control study based on a bioelectrical impedance analyzer.Frontiers in medicine · 2026Article
- Association between the serum creatine kinase level and all-cause mortality in centenarians: a prospective cohort study in China.Frontiers in endocrinology · 2026Article
- Practical guidelines for exercise prescription in different clinical populations.Frontiers in sports and active living · 2026Review
- Recommendations for Optimizing Research Regarding the Effects of Dehydration on Athletic Performance.Sports medicine (Auckland, N.Z.) · 2026Review
- Body-composition phenotype axes provide additional explanatory information for cardiorespiratory fitness and liver-related metabolic risk within BMI strata.Frontiers in nutrition · 2026Article
- Examining within-session test-retest reliability of four bioimpedance devices among adults across a wide age range.Journal of electrical bioimpedance · 2026Article
- Effectiveness of a school-based intervention using alternative sports to improve physical and motor skills in elementary school students (RENUÉVATE Project): study protocol for a randomized controlled trial.Frontiers in public health · 2026Article
- Role of Bioelectrical Impedance Analysis in Detecting Nutritional Disorders in Institutionalized Psychogeriatric Patients.Nutrients · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The appropriate use of predictive equations in estimating body composition through bioelectrical impedance analysis (BIA) depends on the device used and the subject's age, geographical ancestry, healthy status, physical activity level and sex. However, the presence of many isolated predictive equations in the literature makes the correct choice challenging, since the user may not distinguish its appropriateness. Therefore, the present systematic review aimed to classify each predictive equation in accordance with the independent parameters used. Sixty-four studies published between 1988 and 2023 were identified through a systematic search of international electronic databases. We included studies providing predictive equations derived from criterion methods, such as multi-compartment models for fat, fat-free and lean soft mass, dilution techniques for total-body water and extracellular water, total-body potassium for body cell mass, and magnetic resonance imaging or computerized tomography for skeletal muscle mass. The studies were excluded if non-criterion methods were employed or if the developed predictive equations involved mixed populations without specific codes or variables in the regression model. A total of 106 predictive equations were retrieved; 86 predictive equations were based on foot-to-hand and 20 on segmental technology, with no equations used the hand-to-hand and leg-to-leg. Classifying the subject's characteristics, 19 were for underaged, 26 for adults, 19 for athletes, 26 for elderly and 16 for individuals with diseases, encompassing both sexes. Practitioners now have an updated list of predictive equations for assessing body composition using BIA. Researchers are encouraged to generate novel predictive equations for scenarios not covered by the current literature.Registration code in PROSPERO: CRD42023467894.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.