Trajectories of lifestyle patterns from 2 to 8 years of age and cardiometabolic risk in children: the GUSTO study
Trajectories of lifestyle patterns from 2 to 8 years of age and cardiometabolic risk in children: the GUSTO study
Background: Tracking 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. Methods: Twelve 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. Results: Among 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. Conclusion: Three 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 registration: Trial 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.
Cardiometabolic, Childhood, Diet, Group-based trajectory, Lifestyle patterns, Longitudinal, Metabolic syndrome, Physical activity, Screen time, Sleep
Chia, Airu
e9418079-22b3-4ea3-b13f-6b63105a7295
Toh, Jia Ying
bae40ae7-536e-451c-a758-b2b8674681ac
Padmapriya, Natarajan
7f1fdab4-18f7-4e81-a1cd-4050dfc5abb1
Cai, Shirong
0d23d2c5-889d-4f33-887f-b52e3d341ba4
Ong, Yi Ying
a474cc8c-f956-4d25-a06b-c0b655347823
Descarpentrie, Alexandra
d815ce2c-f0df-46c7-9984-168f5dd511d0
Lioret, Sandrine
02670f74-4ed5-4f58-a174-768549e41323
Bernard, Jonathan Y.
c831fc27-9e1a-46ca-b335-859e14c5083b
Müller-Riemenschneider, Falk
b308e28e-08ef-4eac-9eab-1cc0a4105c9f
Godfrey, Keith
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Tan, Kok Hian
4714c94d-334a-42ad-b879-f3aa3a931def
Chong, Yap-Seng
7043124b-e892-4d4b-8bb7-6d35ed94e136
Eriksson, Johan G.
eb96b1c5-af07-4a52-8a73-7541451d32cd
Chong, Mary Foong-Fong
1e188259-b1ab-4448-9e65-5b6a0fd99502
26 January 2024
Chia, Airu
e9418079-22b3-4ea3-b13f-6b63105a7295
Toh, Jia Ying
bae40ae7-536e-451c-a758-b2b8674681ac
Padmapriya, Natarajan
7f1fdab4-18f7-4e81-a1cd-4050dfc5abb1
Cai, Shirong
0d23d2c5-889d-4f33-887f-b52e3d341ba4
Ong, Yi Ying
a474cc8c-f956-4d25-a06b-c0b655347823
Descarpentrie, Alexandra
d815ce2c-f0df-46c7-9984-168f5dd511d0
Lioret, Sandrine
02670f74-4ed5-4f58-a174-768549e41323
Bernard, Jonathan Y.
c831fc27-9e1a-46ca-b335-859e14c5083b
Müller-Riemenschneider, Falk
b308e28e-08ef-4eac-9eab-1cc0a4105c9f
Godfrey, Keith
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Tan, Kok Hian
4714c94d-334a-42ad-b879-f3aa3a931def
Chong, Yap-Seng
7043124b-e892-4d4b-8bb7-6d35ed94e136
Eriksson, Johan G.
eb96b1c5-af07-4a52-8a73-7541451d32cd
Chong, Mary Foong-Fong
1e188259-b1ab-4448-9e65-5b6a0fd99502
Chia, Airu, Toh, Jia Ying, Padmapriya, Natarajan, Cai, Shirong, Ong, Yi Ying, Descarpentrie, Alexandra, Lioret, Sandrine, Bernard, Jonathan Y., Müller-Riemenschneider, Falk, Godfrey, Keith, Tan, Kok Hian, Chong, Yap-Seng, Eriksson, Johan G. and Chong, Mary Foong-Fong
(2024)
Trajectories of lifestyle patterns from 2 to 8 years of age and cardiometabolic risk in children: the GUSTO study.
International Journal of Behavioral Nutrition and Physical Activity, 21 (1), [9].
(doi:10.1186/s12966-024-01564-z).
Abstract
Background: Tracking 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. Methods: Twelve 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. Results: Among 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. Conclusion: Three 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 registration: Trial 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.
Text
s12966-024-01564-z
- Version of Record
More information
Accepted/In Press date: 19 January 2024
Published date: 26 January 2024
Additional Information:
Funding information:
The study is supported by the National Research Foundation (NRF) under the Open Fund-Large Collaborative Grant (OF-LCG; MOH-000504) administered by the Singapore Ministry of Health’s National Medical Research Council (NMRC) and the Agency for Science, Technology and Research (A*STAR). In RIE2025, GUSTO is supported by funding from the NRF’s Human Health and Potential (HHP) Domain, under the Human Potential Programme. KMG is supported by the UK Medical Research Council (MC_UU_12011/4), the National Institute for Health Research (NIHR Senior Investigator (NF-SI-0515-10042) and NIHR Southampton Biomedical Research Centre (NIHR203319)) and the European Union (Erasmus + Programme ImpENSA 598488-EPP-1-2018-1-DE-EPPKA2-CBHE-JP).
The funders had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript. For the purpose of Open Access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.
Publisher Copyright:
© 2024, The Author(s).
Keywords:
Cardiometabolic, Childhood, Diet, Group-based trajectory, Lifestyle patterns, Longitudinal, Metabolic syndrome, Physical activity, Screen time, Sleep
Identifiers
Local EPrints ID: 487329
URI: http://eprints.soton.ac.uk/id/eprint/487329
ISSN: 1479-5868
PURE UUID: cc6ae957-b8e6-41a7-89d6-eccf8813e09e
Catalogue record
Date deposited: 19 Feb 2024 17:01
Last modified: 17 Aug 2024 01:33
Export record
Altmetrics
Contributors
Author:
Airu Chia
Author:
Jia Ying Toh
Author:
Natarajan Padmapriya
Author:
Shirong Cai
Author:
Yi Ying Ong
Author:
Alexandra Descarpentrie
Author:
Sandrine Lioret
Author:
Jonathan Y. Bernard
Author:
Falk Müller-Riemenschneider
Author:
Kok Hian Tan
Author:
Yap-Seng Chong
Author:
Johan G. Eriksson
Author:
Mary Foong-Fong Chong
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics