ArticleEuropean journal of medical research2025
S-shaped association between hs-CRP/HDL-C index and overweight/obesity in children and adolescents: a population-based study.
Article in European journal of medical research, 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity has become a growing public health problem worldwide, especially in children and adolescents. The ultrasensitive C-reactive protein (hs-CRP)/high-density lipoprotein cholesterol (HDL-C) index is a widely recognized marker of metabolic disorders and inflammatory responses. However, its connection to overweight or obesity in children and adolescents remains unclear. This study aimed to examine the association between the hs-CRP/HDL-C index and overweight or obesity, to identify its possible threshold effect, and to offer a new theoretical basis for prevention and control among youth.
methodsThis study investigated the relationship between hs-CRP/HDL-C index and overweight and obesity in children and adolescents aged 6-19 years, utilizing data from the 2015-2020 National Health and Nutrition Examination Survey (NHANES). This analysis employed t tests, Chi-square tests, multiple logistic regression, restricted cubic spline regression (RCS), and piecewise regression methods to validate the association between the hs-CRP/HDL-C index and overweight/obesity, and to explore potential nonlinear patterns and key thresholds between the two.
resultsThis study included 3853 children and adolescents. Multivariate logistic regression analysis revealed a significant positive relationship between the log-transformed indicator and overweight/obesity (OR = 5.81; 95% CI 5.02-6.75; P < 0.001). Furthermore, smoothed curve fitting revealed a nonlinear S-shaped dose-response relationship between the two variables. In addition, segmented regression analysis of hs-CRP/HDL-C identified two inflection points (0.653 and 1.593). Notably, except for household income, interaction p values across subgroups were all greater than 0.05, indicating high stability and consistency among subgroups. However, household income exerted a significant modifying effect.
conclusionThis study finds that the hs-CRP/HDL-C index is associated with overweight and obesity in children and adolescents in a manner that is not linear. There is a critical range (0.653-1.593) where higher values of the index are related to lower rates of overweight and obesity. Based on these results, it is recommended that pediatric healthcare providers use hs-CRP/HDL-C testing routinely, which may help identify children at risk and support early obesity prevention. Future studies should confirm these findings in additional groups and develop more effective interventions.
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.