Skip to main content
Article
Older women and exercise: theory of planned behavior beliefs
Public Health Nursing
  • V. S. Conn, University of Iowa
  • Toni Tripp-Reimer, University of Iowa
  • Meridean Maas, University of Iowa
Document Type
Article
Peer Reviewed
1
Publication Date
1-1-2003
NLM Title Abbreviation
Public Health Nurs
PubMed ID
12588432
Abstract

Despite well-documented benefits of exercise, aging women remain largely sedentary. Further understanding of beliefs associated with exercise could result in more-effective public health interventions to increase exercise in this vulnerable population. This study examined the relationships between theory of planned behavior constructs and exercise behavior and exercise intention in older women. Constructs from the theory of planned behavior (behavioral beliefs, perceived control beliefs, and normative beliefs) were examined in a sample of 225 women aged 65 and older. Exercise was measured with the Baecke Physical Activity Scale. All women were interviewed, to prevent literacy and vision problems from hampering participation. Significant predictors of exercise behavior were perceived control beliefs and behavioral beliefs. Significant predictors of exercise intentions were perceived control beliefs, behavioral beliefs, and normative beliefs. Specific belief items predicting exercise behavior were that exercise is good for health and that exercise is difficult because of tiredness, as well as the lack of commitment and time. These findings provide partial support for the application of the theory of planned behavior to exercise in older women. The findings suggest that interventions should focus on increasing women's confidence that they can overcome barriers to exercise.

Keywords
  • Women -- Psychosocial Factors -- In Old Age,
  • Health Beliefs -- In Old Age,
  • Health Behavior -- In Old Age,
  • Exercise -- Psychosocial Factors -- In Old Age,
  • Psychological Theory,
  • Female,
  • Aged,
  • Aged,
  • 80 and Over,
  • Interviews,
  • Qualitative Studies,
  • Control (Psychology),
  • Cross Sectional Studies,
  • Descriptive Research,
  • Convenience Sample,
  • Instrument Construction,
  • Clinical Assessment Tools,
  • Summated Rating Scaling,
  • Coefficient Alpha,
  • Correlation Coefficient,
  • Step-Wise Multiple Regression,
  • Logistic Regression,
  • P-Value,
  • Descriptive Statistics,
  • Odds Ratio,
  • Power Analysis,
  • Human
Published Article/Book Citation
Public Health Nursing, 20:2 (2003) pp.153-163.
Disciplines
Citation Information
Public Health Nursing. 2003 Jan;20(2):153-163.