Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Feb 24;12(2):591.
doi: 10.3390/nu12020591.

The Clustering of Low Diet Quality, Low Physical Fitness, and Unhealthy Sleep Pattern and Its Association with Changes in Cardiometabolic Risk Factors in Children

Affiliations

The Clustering of Low Diet Quality, Low Physical Fitness, and Unhealthy Sleep Pattern and Its Association with Changes in Cardiometabolic Risk Factors in Children

Xianwen Shang et al. Nutrients. .

Abstract

The clustering of diet quality, physical activity, and sleep and its association with cardiometabolic risk (CMR) factors remains to be explored. We included 5315 children aged 6-13 years in the analysis. CMR score (CMRS) was computed by summing Z-scores of waist circumference, an average of systolic and diastolic blood pressure, fasting glucose, high-density lipoprotein cholesterol (multiplying by -1), and triglycerides. Low diet quality and low cardiorespiratory fitness (CRF) were more likely to be seen in a pair, but low diet quality was less likely to be clustered with unhealthy sleep patterns. Low diet quality, low CRF, and unhealthy sleep pattern was associated with a 0.63, 0.53, and 0.25 standard deviation (SD) higher increase in CMRS, respectively. Compared to children with no unhealthy factor (-0.79 SD), those with ≥1 unhealthy factor had a higher increase (-0.20 to 0.59 SD) in CMRS. A low diet quality-unhealthy sleep pattern resulted in the highest increase in CMRS, blood pressure, and triglycerides. A low diet quality-low CRF-unhealthy sleep pattern resulted in the highest increase in fatness and fasting glucose. Unhealthy factor cluster patterns are complex; however, their positive associations with changes in CMR factors are consistently significant in children. Some specific patterns are more harmful than others for cardiometabolic health.

Keywords: cardiometabolic risk factors; cardiorespiratory fitness; children; clustering; diet quality; sleep.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Similar articles

Cited by

References

    1. Spring B., Moller A.C., Coons M.J. Multiple health behaviours: Overview and implications. J. Public Health. 2012;34(Suppl. S1):i3–i10. doi: 10.1093/pubmed/fdr111. - DOI - PMC - PubMed
    1. Leech R.M., McNaughton S.A., Timperio A. The clustering of diet, physical activity and sedentary behavior in children and adolescents: A review. Int. J. Behav. Nutr. Phys. Act. 2014;11:4. doi: 10.1186/1479-5868-11-4. - DOI - PMC - PubMed
    1. Voracova J., Badura P., Hamrik Z., Holubcikova J., Sigmund E. Unhealthy eating habits and participation in organized leisure-time activities in Czech adolescents. Eur. J. Pediatr. 2018;177:1505–1513. doi: 10.1007/s00431-018-3206-y. - DOI - PubMed
    1. Condello G., Puggina A., Aleksovska K., Buck C., Burns C., Cardon G., Carlin A., Simon C., Ciarapica D., Coppinger T., et al. Behavioral determinants of physical activity across the life course: A “Determinants of Diet and Physical Activity” (DEDIPAC) umbrella systematic literature review. Int. J. Behav. Nutr. Phys. Act. 2017;14:58. doi: 10.1186/s12966-017-0510-2. - DOI - PMC - PubMed
    1. Sleddens E.F., Kroeze W., Kohl L.F., Bolten L.M., Velema E., Kaspers P.J., Brug J., Kremers S.P. Determinants of dietary behavior among youth: An umbrella review. Int. J. Behav. Nutr. Phys. Act. 2015;12:7. doi: 10.1186/s12966-015-0164-x. - DOI - PMC - PubMed