A Proposed Mediation Model of the Effects of Motivation for a Healthy Lifestyle: Impacts on Emotional Exhaustion, Medication Regimens, and Low-Density Lipoprotein

Abstract

This research addressed the following question: "How are behavioral indicators related to physiological responses?" Three theories -- Conservation of Resources, Planned Behavior, and Achievement Motivation -- were employed to build a proposed model of the effects that an individual's motivation for a healthy lifestyle would have on his/her emotional exhaustion, daily medication usage, and low-density lipoproteins. Motivation for a healthy lifestyle was hypothesized to have a negative relationship with emotional exhaustion when using body mass index as a partial mediator. Emotional exhaustion was hypothesized to have positive relationships with daily medication usage and low-density lipoproteins. The model was tested using linear regression modeling and an archival dataset that contained a behavioral survey, anthropometric measurements, and blood samples. All the relationships except those between motivation for a healthy lifestyle and emotional exhaustion, and the partial mediation were supported. An alternate explanation for the lack of support for two of the hypotheses is discussed. This research is unique in that it incorporates behavioral constructs and physical outcomes, a combination that has been identified as underutilized in the realms of organizational and behavioral research.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA557565

Entities

People

  • Nathan M. Leuthold

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Analysis Of Variance
  • Body Weight
  • Cardiovascular Diseases
  • Cardiovascular Physiological Phenomena
  • Cardiovascular System
  • Factor Analysis
  • Health Services
  • Human Behavior
  • Hypertension
  • Information Science
  • Medical Personnel
  • Pain
  • Proteins
  • Psychology
  • Regression Analysis
  • Surveys

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