Temporal stability of cardiometabolic risk factors from the perspective of primordial disease prevention in children
Clicks: 3
ID: 321807
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
3 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #91 of 359 articles by views in the journal of clinical endocrinology & metabolism
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 359 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
CONTEXT AND OBJECTIVE: Excess adiposity and circulating lipoprotein lipids in childhood are predictive of cardiometabolic disease in adulthood. We analysed temporal tracking for body mass and lipid biomarkers using population-based time-series to assess the statistical feasibility of primordial prediction and prevention. DESIGN AND PARTICIPANTS: Individuals born between 1962-1992 were included from four European local community cohorts. Serial measurements of weight, height, waist and lipoprotein lipids were analysed for 12,212 participants (ages 5-49 years, follow-ups 15-31 years depending on cohort). Longitudinal tracking was quantified by autocorrelation R2 over the same individuals between any two visits in the series; the weakening of R2(Δt) with increasing follow-up time was modelled by exponential decay. RESULTS: Based on the decay model, we calculated autocorrelation for two surveys fifteen years apart as a simplified tracking indicator: R2(15) = 35.7% for body-mass index, R2(15) = 28.1% for waist-height ratio and R2(15) = 32.5% for low-density lipoprotein (LDL) cholesterol. Total and high-density lipoprotein cholesterol were comparable to LDL cholesterol. Triglycerides exhibited weak tracking. The detection rate (DR5) at 5% false positive rate (FPR) of children who were in the top risk decile as adults was DR5(15) = 38.9% for body mass index and DR5(15) = 30.9% for LDL cholesterol. CONCLUSIONS: Individualised biomarker screening at low FPR misclassifies the majority of children who will have high values as adults (low statistical feasibility). Biomarker tracking is more useful for guiding broad population-based primordial prevention programmes that can be extended to all children at risk without harm from false positives.
| Reference Key |
openalex_W7169854408
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Ville‐Petteri Mäkinen, Kähönen Mt, Terho Lehtimäki, Nina Hutri, T Rönnemaa, Jorma Viikari, Katja Pahkala, Suvi Rovio, Harri Niinikoski, Juha Mykkänen, Olli T. Raitakari, Mika Ala‐Korpela |
| Journal | the journal of clinical endocrinology & metabolism |
| Year | 2026 |
| DOI |
10.1210/clinem/dgag285
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.