Evidence map›Paper›PMID 38279175›Full record

ArticleThe international journal of behavioral nutrition and physical activity2024

Trajectories of lifestyle patterns from 2 to 8 years of age and cardiometabolic risk in children: the GUSTO study.

Airu Chia, Jia Ying Toh, Padmapriya Natarajan, Shirong Cai, Yi Ying Ong, Alexandra Descarpentrie, Sandrine Lioret, Jonathan Y Bernard, Falk Müller-Riemenschneider, Keith M Godfrey and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01174875 (Developmental Pathways to Health and Disease), which is not on this map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 4% of its field
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.

NCT01174875 active not recruitingnot on this map

Developmental Pathways to Health and Disease: Metabolic, Neurodevelopmental and Related Outcomes

TypeobservationalSponsorNational University Hospital, SingaporeRan2009 to 2029Enrolled1,247ConditionsMetabolic Diseases, Neurological and Mental Health Conditions, Genetic Predisposition, Skin Condition
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. Tracking and changes in the clustering of physical activity, sedentary behavior, diet, and sleep across childhood and adolescence: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
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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

14 authors at 6 institutions in 6 countries.

Airu ChiaSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore. airu-chia@nus.edu.sg.ORCID 0000-0003-1694-0235
Jia Ying TohSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Padmapriya NatarajanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore.
Shirong CaiSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Yi Ying OngDepartment of Social and Behavioural Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Alexandra DescarpentrieCentre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France.
Sandrine LioretCentre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France.
Jonathan Y BernardCentre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France.
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore.
Keith M GodfreyMRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Kok Hian TanDuke-NUS Medical School, Singapore, Singapore.
Yap Seng ChongSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Johan G ErikssonSingapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Mary F-F ChongSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore.
Agency for Science, Technology and Research · SGNational University of Singapore · SGUniversité Paris Cité · FRHarvard University · USKK Women's and Children's Hospital · SGUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

backgroundTracking combinations of lifestyle behaviours during childhood ("lifestyle pattern trajectories") can identify subgroups of children that might benefit from lifestyle interventions aiming to improve health outcomes later in life. However, studies on the critical transition period from early to middle childhood are limited. We aimed to describe lifestyle patterns trajectories in children from 2 to 8 years of age and evaluated their associations with cardiometabolic risk markers at age 8 years in a multi-ethnic Asian cohort.

methodsTwelve lifestyle behaviours related to child's diet, physical activity, screen use, and sleep were ascertained using questionnaires at ages 2, 5, and 8 years. Age-specific lifestyle patterns were derived using principal component analysis and trajectories were determined using group-based multi-trajectory modelling. Child cardiometabolic risk markers were assessed at age 8 years, and associations with trajectories examined using multiple regression, adjusted for confounders.

resultsAmong 546 children, two lifestyle patterns "healthy" and "unhealthy" were observed at ages 2, 5, and 8 years separately. Three trajectory groups from 2 to 8 years were identified: consistently healthy (11%), consistently unhealthy (18%), and mixed pattern (71%). Children in the consistently unhealthy group (vs. mixed pattern) had increased odds of pre-hypertension (OR = 2.96 [95% CI 1.18-7.41]) and higher levels of diastolic blood pressure (β = 1.91 [0.27-3.55] mmHg), homeostasis model assessment of insulin resistance (β = 0.43 [0.13-0.74]), triglycerides (β = 0.11 [0.00-0.22] mmol/L), and metabolic syndrome score (β = 0.85 [0.20-1.49]), but not with BMI z-score or any anthropometric measurements. The consistently healthy group showed no differences in cardiometabolic outcomes compared to the mixed pattern group.

conclusionThree distinct lifestyle pattern trajectories were identified from early to middle childhood. Children in the consistently unhealthy lifestyle group did not have a raised BMI but was associated with several elevated cardiometabolic risk markers. These findings suggest the potential benefits of initiating holistic lifestyle interventions to improve children's health and well-being from an early age.

trial registrationTrial registration number: NCT01174875. Name of registry: ClinicalTrials.gov. URL of registry: https://classic. CLINICALTRIALS: gov/ct2/show/NCT01174875 . Date of registration: August 4, 2010. Date of enrolment of the first participant to the trial: June 2009.

Indexed as

Cardiovascular DiseasesLife StyleBiomarkersBody Mass IndexChildDietHumansSurveys and QuestionnairesBiomarkersCardiometabolicChildhoodDietGroup-based trajectoryLifestyle patternsLongitudinalMetabolic syndromePhysical activityScreen timeSleep

Identifiers

PMID38279175
PMCPMC10811908
OpenAlexW4391271729

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.