ReviewAging and disease2014
Use of anthropometry for the prediction of regional body tissue distribution in adults: benefits and limitations in clinical practice.
Review in Aging and disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 30 citations in OpenAlex.
- Trial
- Novel MRI-Guided Ultrasound Equations for Whole-Body Muscle Mass in Caucasian Adults.Journal of cachexia, sarcopenia and muscle · 2026Article
- Attention-based graph neural network framework for non-invasive CAP score prediction in fatty liver disease via body modeling.Physical and engineering sciences in medicine · 2026Article
- Validity between dual-energy x-ray absorptiometry and bioelectrical impedance for segmental fat analysis and a novel low-cost model developed using anthropometry in young adults.Journal of translational medicine · 2025Article
- Association between body fat variation rate and risk of diabetic nephropathy - a posthoc analysis based on ACCORD database.BMC public health · 2024Article
- A Review of Anthropometric Measurements for Saudi Adults and Elderly, Directions for Future Work and Recommendations to Establish Saudi Guidelines in Line with the Saudi 2030 Vision.Healthcare (Basel, Switzerland) · 2023Review
- Change in Growth Status and Obesity Rates among Saudi Children and Adolescents Is Partially Attributed to Discrepancies in Definitions Used: A Review of Anthropometric Measurements.Healthcare (Basel, Switzerland) · 2023Review
- Evaluation of the Value of Waist Circumference and Metabolomics in the Estimation of Visceral Adipose Tissue.American journal of epidemiology · 2022Article
- Do overweight/obesity and low levels of leisure-time vigorous physical activity moderate the effect of occupational physical activity on self-rated health of construction workers?International archives of occupational and environmental health · 2022Article
- Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment.Frontiers in nutrition · 2022Article
- Non-linear Associations Between Visceral Adipose Tissue Distribution and Anthropometry-Based Estimates of Visceral Adiposity.Frontiers in nutrition · 2022Article
- Antimicrobial Dosing in Specific Populations and Novel Clinical Methodologies: Obesity.Clinical pharmacology and therapeutics · 2021Review
- Physical workload and obesity have a synergistic effect on work ability among construction workers.International archives of occupational and environmental health · 2019Article
- The Value of Anthropometric Measures in Nutrition and Metabolism: Comment on Anthropometrically Predicted Visceral Adipose Tissue and Blood-Based Biomarkers: A Cross-Sectional Analysis.Nutrition and metabolic insights · 2019Article
- Anthropometrically predicted visceral adipose tissue and blood-based biomarkers: a cross-sectional analysis.European journal of nutrition · 2018Article
- Adiponectin levels in the serum and cerebrospinal fluid of amyotrophic lateral sclerosis patients: possible influence on neuroinflammation?Journal of neuroinflammation · 2017Article
- Obesity and Cecal Intubation Time.Clinical endoscopy · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regional body composition changes with aging. Some of the changes in composition are considered major risk factors for developing obesity related chronic diseases which in turn may lead to increased mortality in adults. The role of anthropometry is well recognized in the screening, diagnosis and follow-up of adults for risk classification, regardless of age. Regional body composition is influenced by a number of intrinsic and extrinsic factors. Therapeutic measures recommended to lower cardiovascular disease risk include lifestyle changes. The aim of this review is to systematically summarize studies that assessed the relationships between anthropometry and regional body composition. The potential benefits and limitations of anthropometry for use in clinical practice are presented and suggestions for future research given.
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What OpenQuestion holds
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 OpenQuestion graph.