Background The World Health Organization's Global Action Plan on Physical Activity 2018-2030 states that physical activity interventions should strengthen peoples' competencies for health. Yet, frameworks that bundle pivotal competencies for a healthy and physically active lifestyle have not been extensively discussed in the past. Results In the present article, the authors therefore present the model of Physical Activity-related Health Competence (PAHCO), an integrative structure model including the 3 areas of movement competence, control competence, and self-regulation competence. After providing a rationale for the use of the competence concept, the authors focus on implications from the PAHCO model to guide interventions for the promotion of a healthy and physically active lifestyle. The authors argue that the PAHCO model is located at the interface between health literacy and physical literacy, research areas that have gained increasing scholarly attention in recent years. In addition, PAHCO appears to be compatible with the concept of health capability because it can represent the important aspect of agency. Conclusions The article concludes with a scientific positioning of model components and some empirical results that have been accumulated so far.

Competencies for a Healthy Physically Active Lifestyle-Reflections on the Model of Physical Activity-Related Health Competence.

(1) Background: Individuals have to effectively manage their physical activity in order to optimize the associated physical and psychological health benefits. Control competence allows the individual to structure and pace physical activity in a health-enhancing way. The concept was developed within a model of physical activity-related health competence, and is related to the concepts of health literacy and physical literacy. Therefore, the study firstly aimed to validate a self-report scale to measure the physical and psychological facets of control competence in adolescents. Secondly, relationships between control competence and its basic elements, knowledge and motivation, as well as between control competence, sport activity, and fitness, were investigated. (2) Methods: In two cross-sectional studies, ninth grade adolescents (study A: n = 794, 51% female; study B: n = 860, 52% female) were tested using self-report scales (study A and B), a test for health-related fitness knowledge (study B), and cardiovascular and muscular fitness tests (study B). (3) Results: Confirmatory factor analyses confirmed the two-factor structure of the self-report scale for control competence in studies A and B. In addition, the results of structural equation modeling in study B showed a relationship between motivation (via control competence) and sport activity, and a relationship between control competence and fitness. (4) Conclusion: The questionnaire extends the ability to assess control competence in adolescents. Moreover the findings support the importance of control competence in order to achieve health benefits through physical activity.

Physical Activity-Related Health Competence, Physical Activity, and Physical Fitness: Analysis of Control Competence for the Self-Directed Exercise of Adolescents

We investigated the cardiovascular individual response to 6 weeks (3×/week) of work-matched within the severe-intensity domain (high-intensity interval training, HIIT) or moderate-intensity domain (moderate-intensity continuous training, MICT). In addition, we analyzed the cardiovascular factors at baseline underlying the response variability. 42 healthy sedentary participants were randomly assigned to HIIT or MICT. We applied the region of practical equivalence-method for identifying the levels of responders to the maximal oxygen uptake (VO2max) response. For investigating the influence of cardiovascular markers, we trained a Bayesian machine learning model on cardiovascular markers. Despite that HIIT and MICT induced significant increases in VO2max, HIIT had greater improvements than MICT (p < 0.001). Greater variability was observed in MICT, with approximately 50% classified as “non-responder” and “undecided”. 20 “responders”, one “undecided” and no “non-responders” were observed in HIIT. The variability in the ∆VO2max was associated with initial cardiorespiratory fitness, arterial stiffness, and left-ventricular (LV) mass and LV end-diastolic diameter in HIIT; whereas, microvascular responsiveness and right-ventricular (RV) excursion velocity showed a significant association in MICT. Our findings highlight the critical influence of exercise-intensity domains and biological variability on the individual VO2max response. The incidence of “non-responders” in MICT was one third of the group; whereas, no “non-responders” were observed in HIIT. The incidence of “responders” was 11 out of 21 participants in MICT, and 20 out of 21 participants in HIIT. The response in HIIT showed associations with baseline fitness, arterial stiffness, and LV-morphology; whereas, it was associated with RV systolic function in MICT.

/pdf/individual-cardiovascular-responsiveness-to-work-matched-1itdhfam6m.pdf

Individual cardiovascular responsiveness to work-matched exercise within the moderate- and severe-intensity domains

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, p...

Competencies for a Healthy Physically Active Lifestyle-Validation of an Integrative Model.

The physical activity-related health competence (PAHCO) model assumes that individuals require movement competence, control competence, and self-regulation competence to lead a healthy, physically active lifestyle. Although previous research has already established some measurement factors (n = 8) of the three dimensions, no attempts have so far been made to statistically aggregate them on the sub-competence level. Therefore, the goal of the present study was to test two additional factors for PAHCO and subsequently model the second-order structure with two samples from the fields of rehabilitation and prevention. We conducted two questionnaire surveys with persons with multiple sclerosis (n = 475) and teaching students undergoing a basic qualification course in physical education (n = 502). After performing exploratory items analysis, we used second-order confirmatory factor analysis (CFA) and multidimensional scaling to investigate whether the scales could be bundled in accordance with the PAHCO model. The CFAs with 10 factors (42 items) demonstrated a good model fit. In contrast, the second-order analysis with a simple loading structure on the three sub-competencies revealed an unacceptable model fit. Instead, a second-order model variant was preferred [comparative fit index (CFI) = 0.926, root mean square error of approximation (RMSEA) = 0.048, standardized root mean square residual (SRMR) = 0.065] in which body awareness and self-efficacy had theory-conform cross-loadings. The results of multidimensional scaling (two-dimensional solution) were in line with the extracted second-order structure. The present results suggested that the extension of the measurement instrument to 10 first-order factors was psychometrically justified for the two populations. The results from the second-order analyses provided the basis for the creation of sum scores, representing manifest indicators of movement competence, control competence, and self-regulation competence. Future studies are needed that cross-validate the extended measurement model with other populations and that relate the sub-competencies of PAHCO to indicators of health-enhancing physical activity.

/pdf/competencies-for-a-healthy-physically-active-lifestyle-spmedrw7rw.pdf

Competencies for a Healthy Physically Active Lifestyle: Second-Order Analysis and Multidimensional Scaling

Background Physical activity is a substantial promoter for health and well-being. Yet, while an increasing number of studies shows that the responsiveness to physical activity is highly individual, most studies focus this issue from only one perspective and neglect other contributing aspects. In reference to a biopsychosocial framework, the goal of our study is to examine how physically inactive individuals respond to two distinct standardized endurance trainings on various levels. Based on an assessment of activity- and health-related biographical experiences across the life course, our mixed-method study analyzes the responsiveness to physical activity in the form of a transdisciplinary approach, considering physiological, epigenetic, motivational, affective, and body image-related aspects. Methods Participants are randomly assigned to two different training programs (High Intensity Interval Training vs. Moderate Intensity Continuous Training) for six weeks. After this first training period, participants switch training modes according to a two-period sequential-training-intervention (STI) design and train for another six weeks. In order to analyse baseline characteristics as well as acute and adaptive biopsychosocial responses, three extensive mixed-methods diagnostic blocks take place at the beginning (t0) of the study and after the first (t1) and the second (t2) training period resulting in a net follow-up time of 15 weeks. The study is divided into five modules in order to cover a wide array of perspectives. Discussion The study's transdisciplinary mixed-method design allows to interlace a multitude of subjective and objective data and therefore to draw an integrated picture of the biopsychosocial efficacy of two distinct physical activity programs. The results of our study can be expected to contribute to the development and design of individualised training programs for the promotion of physical activity. Trial registration The study was retrospectively registered in the German Clinical Trials Register on 12 June 2019 (DRKS00017446).

The iReAct study - A biopsychosocial analysis of the individual response to physical activity.

Physical activity (PA) is positively associated with affective well-being in adults This study investigated the moderating role of the competence for PA-related affect regulation in the PA–affect association in real-life situations A total of 37 women and 27 men completed an ecological momentary assessment study in which the authors used accelerometers to record PA and e-diaries to collect data on affective well-being on 4 study days They applied multilevel analyses to estimate the within-person effects of PA on affective well-being and cross-level interactions between PA (within person) and PA-related affect regulation (between persons) Results revealed cross-level interaction effects between within-person PA variations and competence for PA-related affect regulation on the affect dimensions of calmness (p < 01) and valence (p = 04) Thus, the competence for PA-related affect regulation moderates the PA–affect association in real-life situations Therefore, individual-based PA promotion should cons

Individual Differences in the Competence for Physical-Activity-Related Affect Regulation Moderate the Activity-Affect Association in Real-Life Situations

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The iReAct study - A biopsychosocial analysis of the individual response to physical activity.

Individual Differences in the Competence for Physical-Activity-Related Affect Regulation Moderate the Activity-Affect Association in Real-Life Situations