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Improving Strength, Power, Muscle Aerobic Capacity, and Glucose Tolerance through Short-term Progressive Strength Training Among Elderly People

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Comparison of exercise models in an elderly population.

Jiska Cohen-Mansfield¹, Marcia S Marx, Jack M Guralnik

¹Hebrew Home of Greater Washington, Research Institute on Aging, Rockville, MD 20852, USA. cohen-mansfield@hebrew-home.org

Aging Clinical and Experimental Research

|October 26, 2006

Summary

This study validated exercise behavior models in older adults. Findings suggest a combined model may better explain exercise habits, highlighting the influence of health and psychological factors on older adults' physical activity.

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Area of Science:

Gerontology
Behavioral Science
Public Health

Background:

Previous models of exercise behavior in older adults exist (Schuster et al., 1995; Resnick et al., 2000).
Validation of these models with a new sample is needed.
Understanding factors influencing exercise behavior in older populations is crucial for public health initiatives.

Purpose of the Study:

To validate existing exercise behavior models in a new sample of older adults.
To determine if previously published models explain a significant proportion of variance in exercise behavior.
To explore demographic and psychological predictors of exercise behavior in community-dwelling older adults.

Main Methods:

A mailed questionnaire was administered to 324 community-dwelling individuals aged 74-85 years.
Data collected included demographics, exercise habits, health status, activities of daily living, mood, living situation, attitudes, self-efficacy, barriers, and enjoyment of exercise.
Path analysis was used to examine relationships between constructs.

Main Results:

The models explained some variance in exercise behavior, but less than previously reported.
Physical health, mental health, gender, and past enjoyment of exercise influenced self-efficacy, attitudes, and perceived barriers.
These psychological factors, in turn, predicted current exercise habits.

Conclusions:

The limited variance explained suggests other factors may influence older adults' exercise behavior or that current constructs are sensitive to measurement.
Results align with existing models but indicate a combined approach might be more effective.
Future research should investigate a combined model for predicting exercise behavior in older adults.