Kinesiology and Integrative Physiology

Integrative Physiology—PhD

If you’re fascinated by health and human physiology and have a passion for fitness, bring your interests together with study in a doctorate of Integrative Physiology.

We take a system-level approach to understand the role of physiology in human health. Our work is conducted across the entire spectrum - fundamental basics at the molecular level, animal- and human-based research, and population studies - to translate research into tangible health outcomes.

What you’ll work on

We have many focus areas and laboratories to work with top faculty to do your research. For a more in-depth look at the areas we offer, our research focus page will show you more.

Cardiovascular Physiology

The human central nervous system regulates cardiovascular function, body fluid, and sodium homeostasis, research focuses on hypertension, congestive heart failure, obesity and diabetes.

Integrative Physiology Research

Understanding human cardiovascular disease and orthostatic hypotension by studying sympathetic neural control of circulation. 

Molecular Physiology

Focuses on the neurogenic mechanisms of hypertension and associated cardiovascular diseases, with emphasis on developing novel targets for disease treatment and management.

Sleep Research

Combines sleep analysis technologies and biomedical engineering signal processing techniques to explore the effects of sleep on cardiovascular health.

Exercise Physiology

Focuses on how the human nervous and musculoskeletal systems interact to give rise to coordinated locomotor movements.

Human Biomechanics

Focuses on how the laws of physics act on the human body to influence performance and injury risk.

Aging and Cognition Action

Understanding the nature of changes in cognitive function and motor behavior in healthy aging and dementia.

Tissue Interfaces Research

Concentration on understanding how the transient signalling molecule nitric oxide (NO) can mediate and control physiological response in both normal and pathological conditions.

Required Courses

Please select 10 credits of the following:

KIP 5000 - Advanced Exercise Physiology

This course focuses on exercise physiology in both humans and rodents. Topics include detailed muscle physiology, fatigue mechanisms, the autonomic nervous system, advanced cardiovascular adaptations with exercise, exercise metabolism, and environmental exercise physiology. The importance of translational reserach will be highlighted.

  • Credits: 3.0
  • Lec-Rec-Lab: (2-1-0)
  • Semesters Offered: Fall
  • Pre-Requisite(s): (EH 4210 or KIP 4100) and (EH 4211 or KIP 4110)

KIP 5500 - Systems Physiology

A comprehensive systemic study of the physiological functions of the adult human, including an introduction to the underlying etiologies and clinical indicators of molecular, cellular, and tissue bases for common organ system diseases in humans.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Fall
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

KIP 5510 - Molecular Physiology

Introduction on how different biochemical and molecular pathways of the cell work together to produce various physiological functions. Empahsis will be placed on the molecular and cellular mechanisms underlying physiological processes. Structure and function relationship will be addressed throughout the course.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Spring - Offered alternate years beginning with the 2018-2019 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

KIP 6100 - Doctoral Graduate Seminar in Integrative Physiology

The graduate seminar is designed to facilitate critical discussions of peer-reviewed research and student research projects in the field of integrative physiology. The presenter will provide an overview or seminar of the research of interest, which will establish the foundation for the discussion thereafter.

  • Credits: 1.0
  • Lec-Rec-Lab: (0-1-0)
  • Semesters Offered: Fall, Spring
  • Restrictions: Permission of department required; Must be enrolled in one of the following Level(s): Graduate; Must be enrolled in one of the following Major(s): Integrative Physiology

At least one of the following:

BE 5550 - Biostatistics for Health Science Research

An overview course of biostatistical methods used in the health sciences. Topics include a review of undergraduate statistical concepts, NIH, CDC, and FDA guidelines for clinical trial research, proper use of biostatistical methods including anova models, logistic regression, risk analysis, survivorship analysis and any other statistical methods that are common in the enrolled students' discipline.

  • Credits: variable to 4.0
  • Semesters Offered: On Demand
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate
  • Pre-Requisite(s): MA 2720 or MA 3710

MA 4710 - Regression Analysis

Covers simple, multiple, and polynomial regression; estimation, testing, and prediction; weighted least squares, matrix approach, dummy variables, multicollinearity, model diagnostics and variable selection. A statistical computing package is an integral part of the course.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Summer
  • Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715

MA 4720 - Design and Analysis of Experiments

Covers construction and analysis of completely randomized, randomized block, incomplete block, Latin squares, factorial, fractional factorial, nested and split-plot designs. Also examines fixed, random and mixed effects models and multiple comparisons and contrasts. The SAS statistical package is an integral part of the course.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Spring
  • Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715

MA 5701 - Statistical Methods

Introduction to design, conduct, and analysis of statistical studies, with an introduction to statistical computing and preparation of statistical reports. Topics include design, descriptive, and graphical methods, probability models, parameter estimation and hypothesis testing.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

PSY 5210 - Advanced Statistical Analysis and Design I

An overview of data analysis methods including visualization, data programming, and univariate statistics such as t-test and ANOVA.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-1)
  • Semesters Offered: Fall - Offered alternate years beginning with the 2018-2019 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

Remaining credits are dissertation research and/or electives. Talk with your advisor each semester about specific research and elective credits. For more-detailed information, see Degree Requirements and our Graduate Student Handbook.