ArticleInternational journal of endocrinology2013
How to estimate fat mass in overweight and obese subjects.
Article in International journal of endocrinology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06438900 (Fighting Western-diet Derived AGEs to Mitigate Muscle Wasting in Sarcobesity), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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.
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.
Fighting Western-diet Derived AGEs to Mitigate Muscle Wasting in Sarcobesity:Observational Study on the Relationship Between AGE Levels and Sarcobesity in an Adult Population Affected by Obesity and Type 2 Diabetes Mellitus
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The performance of anthropometric tools to determine obesity: a systematic review and meta-analysis.Scientific reports · 2020Pooled it
- Eating behavior patterns, metabolic parameters and circulating oxytocin levels in patients with obesity: an exploratory study.Eating and weight disorders : EWD · 2025Observational
- Association of anthropometric and obesity indices with abnormal blood lipid levels in young and middle-aged adults.Heliyon · 2025Article
- Article
- Estimation of Absolute and Relative Body Fat Content Using Noninvasive Surrogates: Can DXA Be Bypassed?Journal of clinical pharmacology · 2023Article
- Sex Difference in Cutoff and Prevalence of Sarcopenia among 300,090 Urban Korean Population: Association with Metabolic Syndrome.Medicina (Kaunas, Lithuania) · 2022Article
- Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project.Preventive medicine reports · 2022Article
- Relative Lean Body Mass and Waist Circumference for the Identification of Metabolic Syndrome in the Korean General Population.International journal of environmental research and public health · 2021Article
- Sarcopenia and Appendicular Muscle Mass as Predictors of Impaired Fasting Glucose/Type 2 Diabetes in Elderly Women.Nutrients · 2021Article
- Associations of vitamin D with novel and traditional anthropometric indices according to age and sex: a cross-sectional study in central southern China.Eating and weight disorders : EWD · 2020Article
- Influence of Body Composition on Arterial Stiffness in Middle-Aged Adults: Healthy UAL Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2019Article
- Evaluation of body composition using dual-energy X-ray absorptiometry in patients with non-functioning adrenal incidentalomas and an intermediate phenotype: Is there an association with metabolic syndrome?Journal of endocrinological investigation · 2019Article
- Sarcopenic obesity associated with high-sensitivity C-reactive protein in age and sex comparison: a two-center study in South Korea.BMJ open · 2018Observational
- Relationship between skeletal muscle mass and lung function in Korean adults without clinically apparent lung disease.Medicine · 2018Article
- Body Mass, Total Body Fat Percentage, and Visceral Fat Level Predict Insulin Resistance Better Than Waist Circumference and Body Mass Index in Healthy Young Male Adults in Indonesia.Journal of clinical medicine · 2018Article
- The associations between diet and physical activity with body composition and walking a timed distance in adults with Prader-Willi syndrome.Food & nutrition research · 2018Article
- Visceral adiposity index is strongly associated with hyperuricemia independently of metabolic health and obesity phenotypes.Scientific reports · 2017Article
- Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference.Public health nutrition · 2017Article
- Impact of body fat changes in mediating the effects of antiretroviral therapy on blood pressure in HIV-infected persons in a sub-Saharan African setting.Infectious diseases of poverty · 2016Article
- Severe growth hormone deficiency and empty sella in obesity: a cross-sectional study.Endocrine · 2015Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background. The prevalence of overweight and obesity is increasing and represents a primary health concern. Body composition evaluation is rarely performed in overweight/obese subjects, and the diagnosis is almost always achieved just considering body mass index (BMI). In fact, whereas BMI can be considered an important tool in epidemiological surveys, different papers stated the limitations of the use of BMI in single individuals. Aim. To assess the determinants of body composition in overweight and obese subjects. Methods. In 103 overweight or obese subjects (74 women, aged 41.5 ± 10 years, and 29 men, aged 43.8 ± 8 years), a multidimensional evaluation was performed including the assessment of body composition using Dual Energy X-Ray Absorptiometry (DXA), anthropometry, bioimpedance analysis (BIA), and biochemical parameters (total cholesterol, triacylglycerol, HDL- and LDL-cholesterol, free fatty acids and glycerol, glucose, insulin, C-reactive protein, plasma acylated and unacylated ghrelin, adiponectin, and leptin serum levels). Results. BMI does not represent the main predictor of FM estimated by DXA; FM from BIA and hip circumference showed a better association with FM from DXA. Moreover, models omitting BMI explained a greater part of variance. These data are confirmed by the predictive value analysis where BMI showed a performance similar to a "coin flip."
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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 OpenQuestion graph.