ArticleInternational journal of cardiology. Cardiovascular risk and prevention2025
Predicting circadian syndrome by obesity indices in middle-aged and older Chinese: evidence from the China Health and Retirement Longitudinal Study.
Article in International journal of cardiology. Cardiovascular risk and prevention, 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To predict the optimal cut-off values for screening and predicting circadian syndrome (CircS) in a middle-aged and older population using 11 obesity-related indices. Methods: Data was obtained from the China Health and Retirement Longitudinal Study (CHARLS) database, including 9265 middle-aged and older people. We examined 11 indices, including waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product index (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), weight-adjusted-waist index (WWI), and cardiometabolic index (CMI). The receiver operating characteristic curve (ROC) was used to determine the usefulness of indicators for screening for CircS in middle-aged. Binary logistic regression analysis was performed to analyze the correlations between 11 obesity-related indices and CircS as well as its components. Results: A total of 9265 middle-aged and older people were included in this study, and the CircS prevalence was 35.60 %. The percentage of males diagnosed with CircS was 25.99 %, and the females was 44.08 %. In males, CMI had the highest AUC. In females, CVAI was the best predictor. Logistic analysis revealed all obesity-related indices were significantly associated with CircS in both males and females (all Conclusion: All 11 obesity-related indices had good predictive power, with CMI and CVAI performing as the best predictor, and ABSI was the weakest predictor in males and females, respectively. In addition, the associations among all obesity-related indices and CircS were stronger in females than in males.
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.