ArticleCommunications biology2024
Longitudinal associations of an exposome score with serum metabolites from childhood to adolescence.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- A Holistic Approach to Metabolic Health Assessment-Analysis of Bioimpedance, Blood, and Saliva Biochemistry in Population Studies-A Pilot Study.Metabolites · 2025Article
- Obesity: Clinical Impact, Pathophysiology, Complications, and Modern Innovations in Therapeutic Strategies.Medicines (Basel, Switzerland) · 2025Review
- Global research trends on the human exposome: a bibliometric analysis (2005-2024).Environmental science and pollution research international · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Environmental and lifestyle factors, including air pollution, impaired diet, and low physical activity, have been associated with cardiometabolic risk factors in childhood and adolescence. However, environmental and lifestyle exposures do not exert their physiological effects in isolation. This study investigated associations between an exposome score to measure the impact of multiple exposures, including diet, physical activity, sleep duration, air pollution, and socioeconomic status, and serum metabolites measured using LC-MS and NMR, compared to the individual components of the score. A general population of 504 children aged 6-9 years at baseline was followed up for eight years. Data were analysed with linear mixed-effects models using the R software. The exposome score was associated with 31 metabolites, of which 12 metabolites were not associated with any individual exposure category. These findings highlight the value of a composite score to predict metabolic changes associated with multiple environmental and lifestyle exposures since childhood.
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Registered trials
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