ArticleNutrients2024
Association between Dietary Patterns and Cardiometabolic Multimorbidity among Chinese Rural Older Adults.
Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
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Who cites it
5 citing papers in PubMed.
- Association of dietary patterns with all-cause and cause-specific mortality in a high cardiovascular risk population in China.BMC cardiovascular disorders · 2026Article
- Interactions between serum uric acid and gut microbiota: implications for metabolic health.Metabolism open · 2026Review
- Article
- The impact of sensory impairment on cardiometabolic multimorbidity in middle-aged and older adults: the mediating role of depressive symptoms.European journal of medical research · 2025Article
- Obesity, composite dietary antioxidant index, and their interactive association with the risk of cardiometabolic multimorbidity in the elderly from a large national survey.Lipids in health and disease · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundThe global population is aging rapidly, leading to an increase in the prevalence of cardiometabolic multimorbidity (CMM). This study aims to investigate the association between dietary patterns and CMM among Chinese rural older adults.
methodsThe sample was selected using a multi-stage cluster random sampling method and a total of 3331 rural older adults were ultimately included. Multivariate logistic regression analysis was used to examine the association between the latent dietary patterns and CMM.
resultsThe prevalence of CMM among rural older adults was 44.64%. This study identified four potential categories: "Low Consumption of All Foods Dietary Pattern (C1)", "High Dairy, Egg, and Red Meat Consumption, Low Vegetable and High-Salt Consumption Dietary Pattern (C2)", "High Egg, Vegetable, and Grain Consumption, Low Dairy and White Meat Consumption Dietary Pattern (C3)" and "High Meat and Fish Consumption, Low Dairy and High-Salt Consumption Dietary Pattern (C4)". Individuals with a C3 dietary pattern (OR, 0.80; 95% CI, 0.66-0.98;
conclusionsRural older adults have diverse dietary patterns, and healthy dietary patterns may reduce the risk of CMM.
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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 Socratic graph.