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Children's stress-related reports and stress biomarkers interact in their association with metabolic syndrome risk

(2018) STRESS AND HEALTH. 34(4). p.523-533
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Abstract
The purpose was to examine the cross-sectional associations of stress-related reports and stress biomarkers with metabolic syndrome (MetS) risk in children while also testing the interaction between stress biomarkers and stress reports. In 353 children (5-10years old, 7.9% overweight/obese), MetS risk was measured by blood pressure, waist circumference, glucose homeostasis, triglycerides, and high-density cholesterol. Stress was measured by stress-related reports (events, emotions, and internalizing/externalizing problems) and two biomarkers: salivary cortisol (total-day and morning output) and heart rate variability (percentage of consecutive normal RR intervals differing more than 50ms and low-to-high-frequency ratio). Cross-sectional regression analyses with z scored total MetS risk as outcome were adjusted for age, sex, and socio-economic status. Only internalizing problems were directly related to a higher MetS risk score (=0.236). Cortisol and heart rate variability were significant moderators: High cortisol morning output resulted in a positive (unfavourable) report-MetS relationship (=0.259-0.552), whereas low percentage of consecutive normal RR intervals differing more than 50ms resulted in a negative (favourable) report-MetS relationship (=-0.298) and low low-to-high-frequency ratio in a positive (unfavourable) report-MetS relationship (=0.478). In conclusion, stress can sometimes be a disadvantageous factor in metabolic health of otherwise healthy children. The cortisol biomarker seems relevant because metabolic risk was highest when stress-related reports were accompanied by high morning cortisol output.
Keywords
autonomic nervous system, cardiovascular disease prevention, cortisol, metabolic health, moderation, psychophysiology, psychosocial stress, HEART-RATE-VARIABILITY, PITUITARY-ADRENAL AXIS, BODY-MASS INDEX, SALIVARY CORTISOL, OBESE CHILDREN, HYPERCORTISOLEMIC DEPRESSION, PHYSICAL-ACTIVITY, SERUM CORTISOL, BLOOD-PRESSURE, ADOLESCENTS

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Citation

Please use this url to cite or link to this publication:

Chicago
Michels, Nathalie, Dante Matthys, Barbara Thumann, Staffan Marild, and Stefaan De Henauw. 2018. “Children’s Stress-related Reports and Stress Biomarkers Interact in Their Association with Metabolic Syndrome Risk.” Stress and Health 34 (4): 523–533.
APA
Michels, N., Matthys, D., Thumann, B., Marild, S., & De Henauw, S. (2018). Children’s stress-related reports and stress biomarkers interact in their association with metabolic syndrome risk. STRESS AND HEALTH, 34(4), 523–533.
Vancouver
1.
Michels N, Matthys D, Thumann B, Marild S, De Henauw S. Children’s stress-related reports and stress biomarkers interact in their association with metabolic syndrome risk. STRESS AND HEALTH. 2018;34(4):523–33.
MLA
Michels, Nathalie, Dante Matthys, Barbara Thumann, et al. “Children’s Stress-related Reports and Stress Biomarkers Interact in Their Association with Metabolic Syndrome Risk.” STRESS AND HEALTH 34.4 (2018): 523–533. Print.
@article{8568998,
  abstract     = {The purpose was to examine the cross-sectional associations of stress-related reports and stress biomarkers with metabolic syndrome (MetS) risk in children while also testing the interaction between stress biomarkers and stress reports. In 353 children (5-10years old, 7.9\% overweight/obese), MetS risk was measured by blood pressure, waist circumference, glucose homeostasis, triglycerides, and high-density cholesterol. Stress was measured by stress-related reports (events, emotions, and internalizing/externalizing problems) and two biomarkers: salivary cortisol (total-day and morning output) and heart rate variability (percentage of consecutive normal RR intervals differing more than 50ms and low-to-high-frequency ratio). Cross-sectional regression analyses with z scored total MetS risk as outcome were adjusted for age, sex, and socio-economic status. Only internalizing problems were directly related to a higher MetS risk score (=0.236). Cortisol and heart rate variability were significant moderators: High cortisol morning output resulted in a positive (unfavourable) report-MetS relationship (=0.259-0.552), whereas low percentage of consecutive normal RR intervals differing more than 50ms resulted in a negative (favourable) report-MetS relationship (=-0.298) and low low-to-high-frequency ratio in a positive (unfavourable) report-MetS relationship (=0.478). In conclusion, stress can sometimes be a disadvantageous factor in metabolic health of otherwise healthy children. The cortisol biomarker seems relevant because metabolic risk was highest when stress-related reports were accompanied by high morning cortisol output.},
  author       = {Michels, Nathalie and Matthys, Dante and Thumann, Barbara and Marild, Staffan and De Henauw, Stefaan},
  issn         = {1532-3005},
  journal      = {STRESS AND HEALTH},
  language     = {eng},
  number       = {4},
  pages        = {523--533},
  title        = {Children's stress-related reports and stress biomarkers interact in their association with metabolic syndrome risk},
  url          = {http://dx.doi.org/10.1002/smi.2813},
  volume       = {34},
  year         = {2018},
}

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