|
Summary
Apr 2006, Vol. 7, No. 3, Pages 467-473
, DOI 10.2217/14622416.7.3.467
(doi:10.2217/14622416.7.3.467)
Collaborative Study: chronic fatigue syndrome – Research Report Chronic fatigue syndrome and high allostatic load Elizabeth M Maloney 1†, Brian M Gurbaxani 1, James F Jones 1, Lucio de Souza Coelho 2, Cassio Pennachin 2 & Benjamin N Goertzel 2,31Centers for Disease Control and Prevention, 1600 Clifton Road, MS A-15, Atlanta, GA 30333, USA. evm3@cdc.gov 2Biomind LLC, Rockville, Maryland, USA 3Maryland and Virginia Tech, Arlington, VA, USA † Author for correspondence 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.
Cited byBenjamin N Goertzel, Cassio Pennachin, Lucio de Souza Coelho, Elizabeth M Maloney, James F Jones, Brian Gurbaxani. (2006) Allostatic load is associated with symptoms in chronic fatigue syndrome patients . Pharmacogenomics 7:3, 485-494 Online publication date: 1-Apr-2006. Summary
| Full Text
| PDF (159 KB)
| PDF Plus (184 KB) Benjamin N Goertzel, Cassio Pennachin, Lucio de Souza Coelho, Brian Gurbaxani, Elizabeth M Maloney, James F Jones. (2006) Combinations of single nucleotide polymorphisms in neuroendocrine effector and receptor genes predict chronic fatigue syndrome. Pharmacogenomics 7:3, 475-483 Online publication date: 1-Apr-2006. Summary
| Full Text
| PDF (139 KB)
| PDF Plus (166 KB) Brian M Gurbaxani, James F Jones, Benjamin N Goertzel, Elizabeth M Maloney. (2006) Linear data mining the Wichita clinical matrix suggests sleep and allostatic load involvement in chronic fatigue syndrome. Pharmacogenomics 7:3, 455-465 Online publication date: 1-Apr-2006. Summary
| Full Text
| PDF (214 KB)
| PDF Plus (212 KB)
|
|
|