Competencies for a Healthy Physically Active Lifestyle-Validation of an Integrative Model.
Johannes Alexander CarlGorden SudeckWolfgang GeidlKonrad SchultzKlaus PfeiferPublished in: Research quarterly for exercise and sport (2020)
Purpose: The model of physical activity-related health competence (PAHCO) provides an integrative and interdisciplinary view on competencies that are necessary when people want to lead a healthy, physically active lifestyle. Given the need to accumulate potential further evidence on the validity of this model through the development of an assessment tool, the goal of the present study was to extend first measurement models on PAHCO. Method: In Study 1, a measurement model with five predictors on PAHCO was tested with 341 COPD patients undergoing inpatient rehabilitation. In Study 2, data from 745 apprentices were used to create an extended eight-factor measurement model. We undertook reliability analysis, confirmatory factor analysis (CFA), and structural equation modeling (SEM) to assess the validity of the models. Results: The analyses showed good results for the reliability and discriminant validity of the factors. Accordingly, the CFA demonstrated satisfactory overall fits for the five-factor as well as for the extended eight-factor measurement model. The associations with physical activity and physical health parameters indicated criterion validity for seven of the eight PAHCO factors. The explained variance of the multivariate models lay between 9.8% and 10.4% in Study 1 and between 9.5% and 21.3% in Study 2. Conclusion: In the present study, it was possible to extract a well-fitting, eight-factor measurement model and accumulate further evidence on the validity of the PAHCO model. Future research should strive for a cross-validation of the measurement model and more deeply investigate the internal structure of the eight factors.
Keyphrases
- physical activity
- healthcare
- mental health
- cardiovascular disease
- patients undergoing
- public health
- metabolic syndrome
- body mass index
- chronic obstructive pulmonary disease
- weight loss
- risk assessment
- type diabetes
- depressive symptoms
- health information
- air pollution
- cystic fibrosis
- social media
- big data
- health promotion
- nursing students