Physical Activity Promotion for Apprentices in Nursing Care and Automotive Mechatronics–Competence Counts More than Volume

Carl, Johannes; Grüne, Eva; Popp, Johanna; Pfeifer, Klaus

doi:10.3390/ijerph17030793

Cited by 39 publications

(37 citation statements)

References 67 publications

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“…Adherence to ActiGraph and Fitbit: This was calculated by the proportion of participants who wore the ActiGraph at least 5 out of 7 days per week [ 35 , 36 ] for at least seven hours a day (≥80% excellent and ≥70% good) [ 23 ]. Similar criteria were used for wearing the Fitbit in the GetActive-Fitbit group.…”

Section: Methodsmentioning

confidence: 99%

A Mind-Body Physical Activity Program for Chronic Pain With or Without a Digital Monitoring Device: Proof-of-Concept Feasibility Randomized Controlled Trial

Greenberg¹,

Popok²,

Lin³

et al. 2020

JMIR Form Res

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Background Chronic pain is associated with poor physical and emotional functioning. Nonpharmacological interventions can help, but improvements are small and not sustained. Previous clinical trials do not follow recommendations to comprehensively target objectively measured and performance-based physical function in addition to self-reported physical function. Objective This study aimed to establish feasibility benchmarks and explore improvements in physical (self-reported, performance based, and objectively measured) and emotional function, pain outcomes, and coping through a pilot randomized controlled trial of a mind-body physical activity program (GetActive) with and without a digital monitoring device (GetActive-Fitbit), which were iteratively refined through mixed methods. Methods Patients with chronic pain were randomized to the GetActive (n=41) or GetActive-Fitbit (n=41) programs, which combine relaxation, cognitive behavioral, and physical restoration skills and were delivered in person. They completed in-person assessments before and after the intervention. Performance-based function was assessed with the 6-min walk test, and step count was measured with an ActiGraph. Results Feasibility benchmarks (eg, recruitment, acceptability, credibility, therapist adherence, adherence to practice at home, ActiGraph wear, and client satisfaction) were good to excellent and similar in both programs. Within each program, we observed improvement in the 6-min walk test (mean increase=+41 m, SD 41.15; P<.001; effect size of 0.99 SD units for the GetActive group and mean increase=+50 m, SD 58.63; P<.001; effect size of 0.85 SD units for the GetActive-Fitbit group) and self-reported physical function (P=.001; effect size of 0.62 SD units for the GetActive group and P=.02; effect size of 0.38 SD units for the GetActive-Fitbit group). The mean step count increased only among sedentary patients (mean increase=+874 steps for the GetActive group and +867 steps for the GetActive-Fitbit group). Emotional function, pain intensity, pain coping, and mindfulness also improved in both groups. Participants rated themselves as much improved at the end of the program, and those in the GetActive-Fitbit group noted that Fitbit greatly helped with increasing their activity. Conclusions These preliminary findings support a fully powered efficacy trial of the two programs against an education control group. We present a model for successfully using the Initiative on the Methods, Measurement, and Pain Assessment in Clinical Trials criteria for a comprehensive assessment of physical function and following evidence-based models to maximize feasibility before formal efficacy testing. Trial Registration ClinicalTrial.gov NCT03412916; https://clinicaltrials.gov/ct2/show/NCT03412916

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Section: Methodsmentioning

confidence: 99%

A Mind-Body Physical Activity Program for Chronic Pain With or Without a Digital Monitoring Device: Proof-of-Concept Feasibility Randomized Controlled Trial

Greenberg¹,

Popok²,

Lin³

et al. 2020

JMIR Form Res

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“…The PAHCO model has been the subject of some publications in the German-speaking area (e.g., Sudeck and Pfeifer, 2016;Pfeifer et al, 2013;Peters et al, 2013;Schmid et al, 2020;Gawlik et al, 2018) and on the international level (e.g., Carl et al, 2020;Carl et al, in press b;Sudeck et al, 2018;Haible et al, 2020). Also, this framework has already served as the theoretical foundation for interventions and programs (e.g., Haible et al, 2019;Bruland et al, 2019;Geidl et al, 2017;Ley et al, 2014;Streber and Pfeifer, 2018).…”

Section: Theoretical Background and Purposementioning

confidence: 99%

Competencies for a healthy physically active lifestyle: Second-order analysis and multidimensional scaling

Carl

Sudeck

Pfeifer

2020

Preprint

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The model of physical activity-related health competence (PAHCO) 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 ten 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 (CFI = 0.926, RMSEA = 0.048, 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 ten first-order factors was psychometrically justified. 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 relate the sub-competencies of PAHCO to indicators of health-enhancing physical activity in relevant target Groups.

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“…In den vergangenen Jahren hat die Kompetenzorientierung im Gesundheitssport auf der Basis des BGK-Modells zunehmend an Bedeutung gewonnen. So widmen sich aktuelle Vorhaben und Projekte in der Forschung beispielsweise der kompetenzorientierten Bewegungsförderung von Schülerinnen und Schülern [24,25], Auszubildenden [26,27], Menschen mit chronisch obstruktiver Lungenerkrankung [28,29], Kriegsüberlebenden [30], Personen mit Arthrose [31], Akteurinnen und Akteuren im Bereich Pflege [32], Menschen mit sogenannter geistiger Behinderung [33,34] oder Personen mit Multipler Sklerose [35]. Auch einzelne theoretische Annahmen der BGK wurden konzeptionell weiterentwickelt oder empirisch untermauert [22, 36 -38].…”

Section: Bewegungsbezogene Gesundheitskompetenz (Bgk)unclassified

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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Physical Activity Promotion for Apprentices in Nursing Care and Automotive Mechatronics–Competence Counts More than Volume

Cited by 39 publications

References 67 publications

A Mind-Body Physical Activity Program for Chronic Pain With or Without a Digital Monitoring Device: Proof-of-Concept Feasibility Randomized Controlled Trial

A Mind-Body Physical Activity Program for Chronic Pain With or Without a Digital Monitoring Device: Proof-of-Concept Feasibility Randomized Controlled Trial

Competencies for a healthy physically active lifestyle: Second-order analysis and multidimensional scaling

Herausforderungen für die Kompetenzorientierung im Gesundheitssport

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