TY - JOUR
T1 - Evaluation of the relationship between heart rate and ventilation for epidemiologic studies
AU - Mermier, Christine M.
AU - Samet, Jonathan M.
AU - Lambert, William E.
AU - Chick, Thomas W.
N1 - Funding Information:
This research was supported by Contract 89-7 from the Health Effects Institute (HEI), an organization funded jointly by the United States Environmental Protection Agency (EPA) (Assistance Agreement X812059) and automotive manufacturers. The contents of this paper do not necessarily reflect the polices of the EPA, automotive manufacturers, or the HEI.
PY - 1993
Y1 - 1993
N2 - Estimation of pulmonary exposure and dose in air pollution epidemiology has been impaired by the lack of methods for directly measuring ventilation in ambulatory subjects. Heart-rate monitoring offers an approach to estimate ventilation by using ventilation-on-heart-rate (VE-H R) regressions established during exercise testing to estimate ventilation in the field. Conventional methods and protocols for testing were used to evaluate the relationship between VE and HR during three tasks: (1) exercising on a cycle ergometer, (2) lifting, and (3) vacuuming. The relationship between VE and HR was curvilinear and was best fit with linear regression models, using a natural log transformation of V., Considerable interindividual variability in slopes and intercepts was observed across all types of exercise tests. The variability about the fitted regression lines for individual subjects was minimal; for example, individual RZ values for the maximum exercise test on 15 men ranged from 0.90 to 0.99 (mean = 0.97). The regression slopes established during upper-body exercise were greater by approximately 30%, relative to those derived in lower-body exercise (paired t test, p <.001). However, VE-HR regression slopes derived from tests in which progressively increasing workloads were used were comparable to those obtained during variable and nonprogressive protocols. These findings indicate that predictive accuracy is maximized by deriving VE-HR regressions for individual subjects and for both lower- and upper-body activities.
AB - Estimation of pulmonary exposure and dose in air pollution epidemiology has been impaired by the lack of methods for directly measuring ventilation in ambulatory subjects. Heart-rate monitoring offers an approach to estimate ventilation by using ventilation-on-heart-rate (VE-H R) regressions established during exercise testing to estimate ventilation in the field. Conventional methods and protocols for testing were used to evaluate the relationship between VE and HR during three tasks: (1) exercising on a cycle ergometer, (2) lifting, and (3) vacuuming. The relationship between VE and HR was curvilinear and was best fit with linear regression models, using a natural log transformation of V., Considerable interindividual variability in slopes and intercepts was observed across all types of exercise tests. The variability about the fitted regression lines for individual subjects was minimal; for example, individual RZ values for the maximum exercise test on 15 men ranged from 0.90 to 0.99 (mean = 0.97). The regression slopes established during upper-body exercise were greater by approximately 30%, relative to those derived in lower-body exercise (paired t test, p <.001). However, VE-HR regression slopes derived from tests in which progressively increasing workloads were used were comparable to those obtained during variable and nonprogressive protocols. These findings indicate that predictive accuracy is maximized by deriving VE-HR regressions for individual subjects and for both lower- and upper-body activities.
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U2 - 10.1080/00039896.1993.9940371
DO - 10.1080/00039896.1993.9940371
M3 - Article
C2 - 8357278
AN - SCOPUS:0027171826
SN - 1933-8244
VL - 48
SP - 263
EP - 269
JO - Archives of Environmental and Occupational Health
JF - Archives of Environmental and Occupational Health
IS - 4
ER -