ArticleScientific reports2023
Association between latent profile of dietary intake and cardiovascular diseases (CVDs): Results from Fasa Adults Cohort Study (FACS).
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Dietary patterns and protein density associations with fat-free mass in a cross-sectional analysis of rural Iranian adults with overweight and obesity.Scientific reports · 2026Article
- Development of an AI-Driven Computational Framework for Integrated Dietary Pattern Assessment: A Simulation-Based Proof-of-Concept Study.Nutrients · 2026Article
- Association between energy-adjusted dietary inflammatory index and sleep quality disorders: a cross-sectional study on fasa adult cohort.Journal of health, population, and nutrition · 2025Article
- Age of onset, sociodemographic, and clinical predictors of depression: a population-based study in Rural Southern Iran.BMC public health · 2025Article
- Investigating multimorbidity patterns and associated risk factors in the fasa adults cohort study (FACS): A latent class analysis.PloS one · 2025Article
- Nutrient deficiency patterns and all-cause and cardiovascular mortality in older adults with hypertension: a latent class analysis.BMC public health · 2024Article
- The association between energy-adjusted dietary inflammatory index and metabolic syndrome and its mediatory role for cardiometabolic diseases: a prospective cohort study.Frontiers in nutrition · 2024Article
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular diseases (CVDs) have been among the most significant non-communicable diseases. Dietary risks account for the most cause of CVDs mortalities. Evaluating overall dietary patterns (through the Latent profile of dietary intake) can provide a more accurate prediction regarding the prevalence of CVDs. The present cross-sectional study aimed to investigate the relationship between the latent profile of dietary intake and CVDs prevalence. The population of the Fasa Adults Cohort Study was employed to gather the data (n = 8319). A modified FFQ was employed to assess eating behaviors. Minerals, as well as the energy intake and total fiber, were measured using Nutritionist IV software (version 7.0). To estimate the prevalence of CVDs, accurate records of patients' histories were made. Individuals were clustered according to their dietary intake using latent profile analysis. The mean age was 48.75 ± 9.59 years, and 53.28% (4430) were women. 63.9% of participants with low Socioeconomic Status (SES) were in the low-intake profile (P < 0.001), and high SES increases the odds of being in the high-intake profile (OR
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