TY - JOUR
T1 - Physical activity behavior after total hip arthroplasty (THA): a prediction based on patient characteristics
AU - Stevens, Martin
AU - Wagenmakers, Robert
AU - Groothoff, Johan W.
AU - Bulstra, Sjoerd K.
AU - van den Akker-Scheek, Inge
AU - Zijlstra, Wiebren
PY - 2007
Y1 - 2007
N2 - Objective!!To determine to what extent aspects of patient characteristics (age, gender, family status, education and comorbidity) are predictive for the level of physical activity of persons with a total hip arthroplasty (THA).!!Methods!!A cross-sectional study including 372 patients. Demographics, comorbidity and physical activity behavior were assessed by means of a questionnaire and from medical records. Linear regression analysis was used to determine to what extent patient characteristics are predictive of level of physical activity. Binary logistic regression modeling was used to determine the extent to which patient characteristics are predictive in meeting international guidelines on health-enhancing physical activity.!!Results!!Age, education and family status significantly predict level of physical activity (R(2)=0.19). Only gender significantly predicts meeting international guidelines on health-enhancing physical activity (OR=2.06, 95% CI 1.20-3.54).!!Conclusion!!Patients at risk can be identified by means of patient characteristics. Increasing age, lower education and living alone are associated with a physically inactive lifestyle.!!Practice implications!!Health care workers involved in the treatment of THA patients should lay an emphasis on the beneficial aspects of physical activity.
AB - Objective!!To determine to what extent aspects of patient characteristics (age, gender, family status, education and comorbidity) are predictive for the level of physical activity of persons with a total hip arthroplasty (THA).!!Methods!!A cross-sectional study including 372 patients. Demographics, comorbidity and physical activity behavior were assessed by means of a questionnaire and from medical records. Linear regression analysis was used to determine to what extent patient characteristics are predictive of level of physical activity. Binary logistic regression modeling was used to determine the extent to which patient characteristics are predictive in meeting international guidelines on health-enhancing physical activity.!!Results!!Age, education and family status significantly predict level of physical activity (R(2)=0.19). Only gender significantly predicts meeting international guidelines on health-enhancing physical activity (OR=2.06, 95% CI 1.20-3.54).!!Conclusion!!Patients at risk can be identified by means of patient characteristics. Increasing age, lower education and living alone are associated with a physically inactive lifestyle.!!Practice implications!!Health care workers involved in the treatment of THA patients should lay an emphasis on the beneficial aspects of physical activity.
KW - Aged
KW - Analysis of Variance
KW - Arthroplasty, Replacement, Hip/psychology
KW - Arthroplasty, Replacement, Hip/rehabilitation
KW - Comorbidity
KW - Cross-Sectional Studies
KW - Educational Status
KW - Exercise Therapy
KW - Female
KW - Geriatric Assessment/methods
KW - Guideline Adherence
KW - Health Behavior
KW - Humans
KW - Linear Models
KW - Logistic Models
KW - Male
KW - Middle Aged
KW - Models, Psychological
KW - Netherlands
KW - Patient Compliance/psychology
KW - Patient Compliance/statistics numerical data
KW - Patient Education as Topic
KW - Predictive Value of Tests
KW - Questionnaires
KW - Residence Characteristics
KW - Risk Assessment/methods
KW - Self Care/psychology
M3 - Journal articles
SN - 0738-3991
VL - 69
SP - 196
EP - 199
JO - Patient Education and Counseling
JF - Patient Education and Counseling
IS - 1-3
ER -