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Chronic fatigue syndrome and high allostatic load
Elizabeth M Maloney1, Brian M Gurbaxani, James F Jones
1Centers for Disease Control and Prevention, 1600 Clifton Road, MS A-15, Atlanta, GA 30333, USA. evm3@cdc.gov
Insights
Chronic fatigue syndrome (CFS) is linked to higher allostatic load, a measure of the body's wear and tear. Key indicators include waist-to-hip ratio, aldosterone, and urinary cortisol levels.
Area of Science:
- Physiology
- Medical Research
- Public Health
Background:
- Chronic Fatigue Syndrome (CFS) is a complex disorder characterized by profound fatigue.
- Allostatic load quantifies the cumulative physiological burden on the body.
Purpose of the Study:
- To investigate the association between chronic fatigue syndrome and allostatic load.
- To identify specific biomarkers contributing to this relationship.
Main Methods:
- A population-based case-control study involving 43 CFS patients and 60 healthy controls.
- Calculation of an allostatic load index using laboratory and clinical data.
- Logistic regression analysis to determine odds ratios and 95% confidence intervals.
Main Results:
- CFS patients demonstrated a 1.9-times higher likelihood of having a high allostatic load index compared to controls.
- A significant linear trend was observed in the association between allostatic load categories and CFS.
- Waist:hip ratio, aldosterone, and urinary cortisol were the strongest discriminators between CFS cases and controls.
Conclusions:
- A high level of allostatic load is associated with chronic fatigue syndrome.
- Specific physiological markers, including waist:hip ratio, aldosterone, and urinary cortisol, are significantly linked to CFS.
Study Population:
We examined the relationship between chronic fatigue syndrome (CFS) and allostatic load in a population-based, case-control study of 43 CFS patients and 60 nonfatigued, healthy controls from Wichita, KS, USA.
Methods:
An allostatic load index was computed for all study participants using available laboratory and clinical data, according to a standard algorithm for allostatic load. Logistic regression analysis was used to compute odds ratios (ORs) as estimates of relative risk in models that included adjustment for matching factors and education; 95% confidence intervals (CIs) were computed to estimate the precision of the ORs.
Results:
CFS patients were 1.9-times more likely to have a high allostatic load index than controls (95% CI = 0.75, 4.75) after adjusting for education level, in addition to matching factors. The strength of this association increased in a linear trend across categories of low, medium and high levels of allostatic load (p = 0.06).
Conclusion:
CFS was associated with a high level of allostatic load. The three allostatic load components that best discriminated cases from controls were waist:hip ratio, aldosterone and urinary cortisol.
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