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Related Experiment Video

Updated: Jun 14, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

LBNP tolerance analyzed retrospectively using a structural equation model.

Juliane P Wallace1, Galen T Trail, Warren D Franke

  • 1Department of Kinesiology, Southern Illinois University, Carbondale, IL, USA. juliane@siu.edu

Aviation, Space, and Environmental Medicine
|April 10, 2010
PubMed
Summary
This summary is machine-generated.

Predicting lower body negative pressure (LBNP) tolerance is possible using easily measured variables. Factors like male gender, higher heart rate response, and lower body fat improve LBNP tolerance.

Related Experiment Videos

Last Updated: Jun 14, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Area of Science:

  • Physiology
  • Cardiovascular Research
  • Human Factors

Background:

  • Lower body negative pressure (LBNP) tolerance is linked to orthostatic tolerance.
  • Predictive models for LBNP tolerance are valuable for clinical and research applications.

Purpose of the Study:

  • To assess the efficacy of noninvasively measured laboratory variables in modeling tolerance to lower body negative pressure (LBNP).
  • To develop a predictive model for LBNP tolerance using structural equation modeling (SEM).

Main Methods:

  • 125 participants (college-age and older adults) underwent graded LBNP to presyncope.
  • LBNP tolerance index (LTI) quantified tolerance.
  • Noninvasive resting and presyncope variables were used in SEM to predict LTI.

Main Results:

  • Structural equation modeling (SEM) identified gender, body fat percentage, maximal heart rate change (delta HR), and resting total peripheral conductance (TPC) as significant predictors of LTI, explaining 40% of the variance.
  • % body fat mediated gender and age effects; delta HR mediated TPC effects.
  • An exaggerated heart rate response to LBNP was associated with increased LBNP tolerance.

Conclusions:

  • Approximately 40% of LBNP tolerance variability can be predicted using readily available measurements.
  • Increased LBNP tolerance is associated with male gender, a potentiated heart rate response, higher resting TPC, older age, and lower body fat.