Predicting post-exertional malaise in Gulf War Illness based on acute exercise responses.
Life Sci
; 280: 119701, 2021 Sep 01.
Article
em En
| MEDLINE
| ID: mdl-34119538
ABSTRACT
AIMS:
Post-exertional malaise (PEM) is poorly understood in Gulf War Illness (GWI). Exercise challenges have emerged as stimuli to study PEM; however, little attention has been paid to unique cardiorespiratory and perceptual responses during exercise. This study tested whether select exercise parameters explained variability in PEM responses. MAINMETHODS:
Visual analog scale (0-100) versions of the Kansas questionnaire were used for daily symptom measurements one week before and one week after 30-min of cycling at 70% heart rate reserve in 43 Veterans with GWI and 31 Veteran controls (CON). Cardiopulmonary exercise testing (CPET) methods were used to measure oxygen (VO2), carbon dioxide (VCO2), ventilation (VE), heart rate, work rate, and leg muscle pain. Symptom changes and CPET parameters were compared between groups with independent samples t-tests. Linear regression (GLM) with VE/VCO2, cumulative work, leg muscle pain, and self-reported physical function treated as independent variables and peak symptom response as the dependent variable tested whether exercise responses predicted PEM. KEYFINDINGS:
Compared to CON, Veterans with GWI had greater ventilatory equivalent for oxygen (VE/VO2), peak leg muscle pain, fatigue, and lower VCO2, VO2, power, and cumulative work during exercise (p < 0.05), and greater peak symptom responses (GWI = 38.90 ± 29.06, CON = 17.84 ± 28.26, g = 0.70, p < 0.01). The final GLM did not explain significant variance in PEM (Pooled R2 = 0.15, Adjusted R2 = 0.03, p = 0.34).SIGNIFICANCE:
The PEM response was not related to the selected combination of cardiorespiratory and perceptual responses to exercise.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Exercício Físico
/
Síndrome do Golfo Pérsico
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article