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

Nathalie Michels (UGent) , Dante Matthys (UGent) , Barbara Thumann, Staffan Marild and Stefaan De Henauw (UGent)
(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

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MLA
Michels, Nathalie, et al. “Children’s Stress-Related Reports and Stress Biomarkers Interact in Their Association with Metabolic Syndrome Risk.” STRESS AND HEALTH, vol. 34, no. 4, 2018, pp. 523–33, doi:10.1002/smi.2813.
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. https://doi.org/10.1002/smi.2813
Chicago author-date
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): 523–33. https://doi.org/10.1002/smi.2813.
Chicago author-date (all authors)
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. doi:10.1002/smi.2813.
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.
IEEE
[1]
N. Michels, D. Matthys, B. Thumann, S. Marild, and S. De Henauw, “Children’s stress-related reports and stress biomarkers interact in their association with metabolic syndrome risk,” STRESS AND HEALTH, vol. 34, no. 4, pp. 523–533, 2018.
@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}},
  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}},
  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://doi.org/10.1002/smi.2813}},
  volume       = {{34}},
  year         = {{2018}},
}
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