ArticleScientific reports2022
Total cholesterol and high density lipoprotein cholesterol ratio is associated with metabolic syndrome in a very elderly Chinese population.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Association between hypercholesterolemia and isolated and simultaneous consumption of ultra-processed foods in older adults.Journal of public health research · 2024Article
- Triceps skinfold thickness trajectories and the risk of all-cause mortality: A prospective cohort study.World journal of clinical cases · 2024Article
- Exploring the Potential Performance of Fibroscan for Predicting and Evaluating Metabolic Syndrome using a Feature Selected Strategy of Machine Learning.Metabolites · 2023Article
- Association betweenInternational journal of molecular sciences · 2023Article
- Geospatial analysis of type 2 diabetes mellitus and hypertension in South Sulawesi, Indonesia.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic syndrome (MetS) is currently a major public health challenge in young, middle aged and elderly population worldwide, but it is still not clear in very elderly population. This study was to investigate the potential association between total cholesterol and high density lipoprotein cholesterol ratio (THR) and MetS in a very elderly population in Chengdu. Totally, 1056 very elderly (aged ≥ 80 years) in Chengdu community were enrolled in this study. Geographic characteristics of participants were collected and laboratory measurement was performed. Metabolic syndrome (MetS) was defined according to the Chinese and the international diabetes federation (IDF) criteria, respectively. Logistic analysis was used to investigate the potential association between the THR and MetS. Receiver operating characteristic curve (ROC) analysis was used to evaluate the efficiency of THR in MetS predicting. Finally, 1038 participants were included in statistical analysis. The mean age was 83.6 ± 3.4 years and 52.6% participants were men and 21.6% suffered from MetS. Participants with MetS had relatively higher waist circumference, body weight, blood pressure, fast plasma glucose level, non-high density lipoprotein cholesterol level and THR. The logistic analysis revealed that the THR was associated with MetS according to both the Chinese (odds ratio (OR): 3.053, 95% confidence interval (CI) 2.464-3.782, P < 0.001) and the IDF criteria (OR: 2.458, 95% CI 2.016-2.995, P < 0.001). ROC analysis found that the area under curve of the THR was 0.800 (95% CI 0.749-0.852, P < 0.001) and 0.727 (95% CI 0.669-0.786, P < 0.001) for predicting MetS according to the Chinese and the IDF criteria, respectively. The THR is associated with MetS in this community very elderly population in Chengdu.
Indexed as
Identifiers
What Socratic 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 Socratic graph.