Two recent examinations reported a strong association between blood pressure (BP) and resting energy expenditure (REE), independent of body mass and body composition. Both reports postulate that neurohumoral processes that contribute to variation in REE may partly mediate the body mass effect on BP. Therefore, we examined the relationship of REE and BP in 108 asymptomatic women (a) to confirm previous findings in a novel population and (b) to examine the impact of a marker of sympathetic tone on this relationship, as this was indicated as a potentially salient intermediary in previous reports. All testing was performed during a 4-day admission to the General Clinical Research Center. Resting energy expenditure was measured by indirect calorimetry, body composition was determined by dual-energy x-ray absorptiometry, and 24-hour fractionated urinary norepinephrine was determined by high-performance liquid chromatography. Multiple linear regression revealed REE as a significant predictor of systolic BP (β = 0.30, P = .04), independent of race (β = 0. 28, P = .01), age (β = -0.02, P = .80), height (β = -0.38, P = .08), fat mass (β = 0.22, P = .20), fat-free mass (β = 0.08, P = .65), and 24-hour fractionated urinary norepinephrine (β = 0.06, P = .57); and the same model using diastolic BP as the dependent variable approached significance (β = 0.24, P = .09). This study affirms previous findings that REE may be a potential mediator in resting BP, independent of many well-cited factors and, additionally, a marker of sympathetic tone.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3213288PMC
http://dx.doi.org/10.1016/j.metabol.2011.06.019DOI Listing

Publication Analysis

Top Keywords

resting energy
12
energy expenditure
12
body mass
12
marker sympathetic
12
sympathetic tone
12
blood pressure
8
independent body
8
body composition
8
previous findings
8
24-hour fractionated
8

Similar Publications

Recognizing human body motions opens possibilities for real-time observation of users' daily activities, revolutionizing continuous human healthcare and rehabilitation. While some wearable sensors show their capabilities in detecting movements, no prior work could detect full-body motions with wireless devices. Here, we introduce a soft electronic textile-integrated system, including nanomaterials and flexible sensors, which enables real-time detection of various full-body movements using the combination of a wireless sensor suit and deep-learning-based cloud computing.

View Article and Find Full Text PDF

Introduction: Ultraviolet-induced fluorescence dermoscopy (UVF dermoscopy) is a novel diagnostic technique for identifying and diagnosing numerous skin tumors, inflammatory dermatoses, and infectious diseases. The ultraviolet (UV) band has a wavelength ranging from 10 to 400 nm. When intense UV radiation with shorter wavelengths strikes a target chromophore, visible light (VL) with a longer wavelength and lower energy is produced in the skin.

View Article and Find Full Text PDF

Accelerating Fock Build via Hybrid Analytical-Numerical Integration.

J Phys Chem A

January 2025

Qingdao Institute for Theoretical and Computational Sciences and Center for Optics Research and Engineering, Shandong University, Qingdao 266237, P. R. China.

A hybrid analytical-numerical integration scheme is introduced to accelerate the Fock build in self-consistent field (SCF) and time-dependent density functional theory (TDDFT) calculations. To evaluate the Coulomb matrix [], the density matrix is first decomposed into two parts, the superposition of atomic density matrices and the rest = -. While [] is evaluated analytically, [] is evaluated fully numerically [with the multipole expansion of the Coulomb potential (MECP)] during the SCF iterations.

View Article and Find Full Text PDF

Investigating the intrinsic top-down dynamics of deep generative models.

Sci Rep

January 2025

Department of General Psychology and Padova Neuroscience Center, University of Padova, Padova, Italy.

Hierarchical generative models can produce data samples based on the statistical structure of their training distribution. This capability can be linked to current theories in computational neuroscience, which propose that spontaneous brain activity at rest is the manifestation of top-down dynamics of generative models detached from action-perception cycles. A popular class of hierarchical generative models is that of Deep Belief Networks (DBNs), which are energy-based deep learning architectures that can learn multiple levels of representations in a completely unsupervised way exploiting Hebbian-like learning mechanisms.

View Article and Find Full Text PDF

A Miniaturized Wireless, Battery-free Implant for In Vivo Musculoskeletal Stimulation.

Conf Proc (Midwest Symp Circuits Syst)

August 2024

Department of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona, USA.

We developed a miniaturized (8 × 8 mm) wireless and battery-free implant for musculoskeletal stimulation. The implant generates an monophasic voltage of up to 11.9 V in a benchtop test with an air link, and it can produce any desired stimulation protocol by responding to the reception of a 2.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!