ArticleObesity science & practice2025
Body Composition Changes in Latino Population: Longitudinal Associations of Fat and Muscle Mass Indices.
Article in Obesity science & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: BMI has limitations in assessing metabolic health, especially in diverse populations. Fat mass index (FMI) and skeletal muscle mass (SMM) are more accurate predictors of obesity-related risks. Redefining obesity as a fat accumulation disease highlights the need for body composition-focused assessments in clinical practice. Objectives: This study assessed body composition changes in a Latino population over 6 months, evaluating the utility of fat mass index (FMI) and skeletal muscle mass (SMM) in detecting significant variations and exploring associations with baseline characteristics. Methods: In this retrospective observational study, 1571 Latino patients were categorized into hypocaloric-high protein (HHP) and eucaloric-high protein (EHP) groups based on baseline BMI. Body composition was measured using bioelectrical impedance analysis at baseline and after 6 months. Chi-square tests evaluated categorical shifts in classifications, while multinomial logistic and linear regression models identified factors associated with fat and muscle mass changes, adjusting for sex, age, and baseline composition metrics. Results: Over 6 months, participants experienced significant reductions in body fat mass (31.24-27.25 kg, Conclusions: FMI and SMM enhance clinical assessments by providing more individualized metrics for obesity management in Latino populations. These findings support the integration of body composition analysis into clinical practice for more precise evaluation of metabolic health beyond traditional BMI classifications.
Indexed as
Identifiers
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.