A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep.

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dc.citation.issue2
dc.citation.volume10
dc.contributor.authorCastro N
dc.contributor.authorZieff G
dc.contributor.authorBates LC
dc.contributor.authorPagan Lassalle P
dc.contributor.authorHiggins S
dc.contributor.authorFaulkner J
dc.contributor.authorLark S
dc.contributor.authorSkidmore P
dc.contributor.authorHamlin MJ
dc.contributor.authorSignal TL
dc.contributor.authorWilliams MA
dc.contributor.authorStoner L
dc.contributor.editorKambas A
dc.coverage.spatialSwitzerland
dc.date.accessioned2024-07-02T00:34:21Z
dc.date.available2024-07-02T00:34:21Z
dc.date.issued2023-02-09
dc.description.abstractBACKGROUND: Cardiometabolic disease (CMD) risk often begins early in life. Healthy lifestyle behaviors can mitigate risk, but the optimal combination of behaviors has not been determined. This cross-sectional study simultaneously examined the associations between lifestyle factors (fitness, activity behaviors, and dietary patterns) and CMD risk in preadolescent children. METHODS: 1480 New Zealand children aged 8-10 years were recruited. Participants included 316 preadolescents (50% female, age: 9.5 ± 1.1 years, BMI: 17.9 ± 3.3 kg/m2). Fitness (cardiorespiratory fitness [CRF], muscular fitness), activity behaviors (physical activity, sedentary, sleep), and dietary patterns were measured. Factor analysis was used to derive a CMD risk score from 13 variables (adiposity, peripheral and central hemodynamics, glycemic control, and blood lipids). RESULTS: Only CRF (β = -0.45, p < 0.001) and sedentary time (β = 0.12, p = 0.019) were associated with the CMD risk score in the adjusted multivariable analysis. CRF was found to be nonlinear (VO2 max ≤ ≈42 mL/kg/min associated with higher CMD risk score), and thus a CRF polynomial term was added, which was also associated (β = 0.19, p < 0.001) with the CMD risk score. Significant associations were not found with sleep or dietary variables. CONCLUSION: The findings indicate that increasing CRF and decreasing sedentary behavior may be important public health targets in preadolescent children.
dc.description.confidentialfalse
dc.edition.editionFebruary 2023
dc.format.pagination336-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/36832464
dc.identifier.citationCastro N, Zieff G, Bates LC, Pagan Lassalle P, Higgins S, Faulkner J, Lark S, Skidmore P, Hamlin MJ, Signal TL, Williams MA, Stoner L. (2023). A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep.. Children (Basel). 10. 2. (pp. 336-).
dc.identifier.doi10.3390/children10020336
dc.identifier.eissn2227-9067
dc.identifier.elements-typejournal-article
dc.identifier.issn2227-9067
dc.identifier.number336
dc.identifier.piichildren10020336
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70059
dc.languageeng
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/2227-9067/10/2/336
dc.relation.isPartOfChildren (Basel)
dc.rights(c) 2023 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectcardiometabolic disease
dc.subjectcardiovascular disease
dc.subjectchildhood
dc.subjectlifestyle factors
dc.subjectmetabolic disease
dc.titleA Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep.
dc.typeJournal article
pubs.elements-id460137
pubs.organisational-groupCollege of Health
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