ArticleJournal of health, population, and nutrition2025
Latent profiles of body composition indices and their associations with cardiovascular diseases, hypertension, and diabetes: results from the Fasa Adult Cohort study (FACS).
Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe body mass index (BMI) is a common obesity indicator; however, it has limitations in distinguishing between muscle and fat and does not consider fat distribution. This study examines the association between the latent profile of body composition indices and cardiovascular diseases, hypertension, and diabetes.
methodThis cross-sectional study utilized baseline data from the Fasa Adult Cohort Study (FACS), which included 4,661 participants aged 35 to 70 years. Body composition indices were assessed using bioelectrical impedance analysis (BIA). Latent profile analysis (LPA) was conducted to identify distinct body composition profiles, and the associations between these profiles and the presence of cardiovascular diseases, hypertension, and diabetes were evaluated using multivariable logistic regression models.
resultsAmong diabetes patients, 151 (26.44%) were male. Additionally, 1,218 (93.26%) of smokers were male. There were significant associations between gender and the prevalence of hypertension, diabetes, metabolic syndrome, and cardiovascular disease. The LPA identified five distinct latent profiles, with profiles characterized by higher body fat percentages demonstrating increased odds of diabetes (OR: 5.64, %95CI: 2.86 -to 11.11) and cardiovascular diseases (OR: 2.19, %95CI: 1.11 to 4.31) compared to a low-risk group. Additionally, profiles with higher body fat metrics were associated with significantly increased odds of hypertension (OR: 8.75, 95% CI: 4.60 to 16.65).
conclusionThe findings emphasize the complex interplay between body composition and the Odds of NCDs, highlighting the importance of detailed body composition assessments in public health initiatives. Understanding these relationships can inform targeted prevention and management strategies for NCDs.
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.