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

Carl, Johannes; Sudeck, Gorden; Geidl, Wolfgang; Schultz, Konrad; Pfeifer, Klaus

doi:10.1080/02701367.2020.1752885

Cited by 23 publications

(42 citation statements)

References 53 publications

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“…Second, there is currently no assessment of body awareness. In this context, it is worth mentioning that the exploratory analyses in the second sub-study of Carl et al (2020b) rejected a first operationalization of the body awareness aspect for both contentrelated and statistical reasons. Thus, it would be important to reconsider this factor without detaching from a competenceoriented operationalization.…”

Section: Theoretical Background and Purposementioning

confidence: 98%

“…In a first article, Sudeck and Pfeifer (2016) successfully tested three single aspects of PAHCO with two different samples from both the fields of rehabilitation and prevention ( Table 1). Inspired by this work, Carl et al (2020b) recently extended this questionnaire in two consecutive steps, resulting in a five-factor and lastly in an eight-factor measurement model. These measurement models, however, have been developed with two specific samples, which limit the generalizability of the assessment.…”

Section: Theoretical Background and Purposementioning

confidence: 99%

“…The previous step within the successive validation and assessment development strategy (Table 1) was conducted with a comparably healthy (apprentices) population (Carl et al, 2020b). Since the manageability of balance demands (MBD) factor has not been associated with indicators of PA in the last study (Carl et al, 2020b), we subsequently decided to examine pwMS who typically have problems with motor control (Kister et al, 2013;Rommer et al, 2019). Data were taken from a baseline online survey of the project "MS bewegt" [Engl.…”

Section: Participantsmentioning

confidence: 99%

“…Against the background of the frequent use of these two notions, a crucial question arises: What are those competencies and literacy aspects that have to be targeted when people want to adopt or maintain a healthy, physically active lifestyle? When overviewing the literature on healthenhancing physical activity (HEPA) and approaches underlying the two terms "literacy" and "competence, " it becomes apparent that the corresponding descriptions highlight multifaceted and multidimensional requirements for a physically active lifestyle as they integrate physical, motivational, and cognitive aspects (Whitehead, 2007;Sudeck and Pfeifer, 2016;Edwards et al, 2017;Gunnell et al, 2018;Tremblay et al, 2018;Cairney et al, 2019b;Carl et al, 2020b;Martins et al, 2020). In line with this understanding, the literacy and competence approaches assume that an isolated focus on physiological and motor aspects on the one hand (e.g., Lubans et al, 2010) or on motivational and self-regulatory components on the other (e.g., Rhodes et al, 2019) does not account for the complex interplay of personal factors involved when people perform activities on a regular basis.…”

Section: Introductionmentioning

confidence: 99%

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

2020

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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.

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Section: Theoretical Background and Purposementioning

confidence: 98%

Section: Theoretical Background and Purposementioning

confidence: 99%

Section: Participantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2020

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“…Weitere Herausforderungen ließen sich auf dem Gebiet der Messverfahren identifizieren. Zwar sind in letzter Zeit einige Messverfahren und Instrumente eingesetzt und auch getestet worden [21,24,48,53]…”

Section: Herausforderungen Auf Dem Gebiet Von Messverfahrenunclassified

Herausforderungen für die Kompetenzorientierung im Gesundheitssport

Carl

Gesundheitskompetenz²

2020

B&G Bewegungstherapie und Gesundheitssport

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ZusammenfassungWeltweit ist körperliche Inaktivität weit verbreitet. Das diesbezügliche Ziel der Weltgesundheitsorganisation ist eine deutliche Reduktion, wofür Maßnahmen zur Verbesserung von umwelt- und systembezogenen Bedingungen ebenso benötigt werden, wie eine Stärkung des individuellen Verhaltenspotenzials. Die gesundheitsbezogene Bewegungsförderung hat sich in den vergangenen Jahren einer zunehmenden Kompetenzorientierung angenommen, welche sich zum Beispiel in dem Bezug zu bewegungsbezogener Gesundheitskompetenz (BGK) ausdrückt. Dieses Modell nimmt an, dass das Vorliegen von Bewegungs-, Steuerungs- und Selbstregulationskompetenz eine Voraussetzung für die Aufrechterhaltung eines körperlich aktiven Lebensstils darstellt. Diese Arbeit berichtet zunächst von der Gründung eines Netzwerks mit Akteurinnen und Akteuren aus dem deutschsprachigen Raum, die sich gegenwärtig mit dem BGK-Modell oder dem verwandten Physical-Literacy-Ansatz befassen. Im Anschluss rücken zwei Auftaktveranstaltungen in den Vordergrund, bei welchen zukünftige Herausforderungen für den kompetenzorientierten Gesundheitssport in Forschung und Praxis identifiziert wurden. Dabei wurden für die Zukunft drei wichtige Themenfelder identifiziert: „Herausforderungen auf begrifflich-konzeptioneller Ebene“, „Herausforderungen auf dem Gebiet von Messverfahren“ und „Interventionelle und vermittlungsbezogene Aspekte“.

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A life span perspective on competencies for a healthy, physically active lifestyle: Findings of a data pooling initiative with over 7000 individuals

Carl,

Blaschke,

Sudeck

et al. 2024

European Journal of Sport Science

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Individuals are recommended to lead active lifestyles throughout the life course. The model of physical activity‐related health competence (PAHCO) adopts a competence approach by integrating physical, cognitive, and motivational determinants for health‐enhancing PA (movement competence, control competence, self‐regulation competence). Drawing on a comprehensive dataset pooling, the goal of the present study was to model the idiosyncratic courses of 10 PAHCO indicators over the life span. We identified studies that empirically operationalized PAHCO, combining data of 7134 individuals (age range: 15–97 years; 61% female) from 18 different populations (prevention and rehabilitation sectors). We applied a stepwise multilevel analysis approach with disjunct sub‐samples (n = 48) to examine linear and quadratic associations between age and PAHCO. Indicators of movement competence (i.e., manageability of endurance, strength, and balance demands; task‐specific self‐efficacy) congruently showed negative associations with age (0.054 ≤ ≤ 0.211). However, parameters of control competence remained stable across the life span (−0.066 ≤ β ≤ 0.028). The three indicators of self‐regulation competence revealed an inconsistent relationship with age, though uncovering positive associations for self‐control (β = 0.106) and emotional attitude toward PA (β = 0.088). The associations of some indicators varied significantly across sub‐samples. The results suggest differential analyses for associations between PAHCO and age. While the physically determined PAHCO indicators (movement competence) probably decline across the life span, the ability to ensure regularity of PA (self‐regulation competence) or align PAs with an individual's health (control competence) appear to remain constant or improve with increasing age. The findings reinforce a de‐stigmatizing approach for PA promotion practices with considerable space for aligning activities with health also in the elderly.

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

Cited by 23 publications

References 53 publications

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

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

Herausforderungen für die Kompetenzorientierung im Gesundheitssport

A life span perspective on competencies for a healthy, physically active lifestyle: Findings of a data pooling initiative with over 7000 individuals

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