Evidence map›Paper›PMID 40847072›Full record

ArticleInternational journal of obesity (2005)2025

Life-long body mass index trajectories and cardiometabolic biomarkers-the Danish diet, cancer, and health-next generations cohort.

Jie Zhang, Christina Andersen, Anja Olsen, Jytte Halkjær, Kristina Elin Petersen, Jonas Frey Rosborg Schaarup, Christian S Antoniussen, Daniel R Witte, Christina C Dahm

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Longitudinal trajectories of nutritional markers in patients with de novo Stage IV gastric cancer: a descriptive analysis using one-year survival as a reference.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jie ZhangDepartment of Public Health, Aarhus University, Aarhus, Denmark. jiezh@clin.au.dk.ORCID http://orcid.org/0000-0002-1985-5485
Christina AndersenDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Anja OlsenDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Jytte HalkjærDanish Cancer Institute, Copenhagen, Denmark.
Kristina Elin PetersenDanish Cancer Institute, Copenhagen, Denmark.
Jonas Frey Rosborg SchaarupDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Christian S AntoniussenDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Daniel R WitteDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-0481-2893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesHigher body mass index (BMI) is strongly associated with cardiovascular metabolic diseases, however, BMI changes across the lifespan may be complex and non-linear. Furthermore, heterogeneous BMI trajectories may exhibit different cardiometabolic traits. We aimed to identify BMI trajectories over up to 50 years and examine their associations with cardiometabolic biomarkers. SUBJECTS/

methodsIn total, 30,581 participants from the Danish Diet, Cancer and Health - Next Generations cohort were included in the study. Participants recalled their weight history for each decade through questionnaires. Weight and height were measured, and blood samples were collected during a clinic visit. Cardiometabolic biomarkers (Hemoglobin A1c, total cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein, C-reactive Protein, and creatinine) were determined. Latent class growth models were applied to model BMI trajectories from age 20 until the current age. The optimal number of groups was selected according to Bayesian Information Criteria, the integrated completed likelihood, and the mean posterior probability of each group. Linear and logistic regression models were used to examine the association between distinct BMI trajectories and cardiovascular biomarkers, with adjustment for age, sex, and smoking status.

resultsFour distinct BMI trajectories were identified: "Stable low BMI" group (32%, n = 9753), "Gradual BMI increase" (45%, n = 13,780), "Early high BMI" group (3%, n = 771), and "Steeper BMI increase" group (21%, n = 6277). Compared to the "Stable low BMI" group, all other trajectory groups showed significant associations with adverse cardiometabolic biomarkers. For instance, the "Steeper BMI increase" group was associated with elevated triglycerides (β = 0.36 mmol/L, 95% CI: 0.34, 0.38), followed by the "Early high BMI" group (β = 0.30 mmol/L, 95% CI: 0.26, 0.34) and the "Gradual BMI increase" group (β = 0.12 mmol/L, 95% CI: 0.11, 0.13).

conclusionBoth those with constant high BMI and steeply increased BMI trajectories from age 20 had more unfavorable cardiometabolic profiles compared to those maintaining lower BMI throughout adulthood.

Indexed as

Body Mass IndexCardiovascular DiseasesAdultAgedBiomarkersCardiometabolic Risk FactorsCohort StudiesDenmarkFemaleHumansMaleMiddle AgedNeoplasmsBiomarkers

Identifiers

PMID40847072
PMCPMC12583120

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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.