What moves truck drivers? A person-centered perspective on workplace physical activity promotion.

Objectives. In developing physical activity (PA) promotion measures in the workplace, individual needs of the target groups must be considered. For this reason, this study aimed to qualitatively identify the individual needs for an increase of PA in truck drivers, representing a neglected working group in terms of PA promotion. Methods. Semi-structured interviews were conducted (N = 19; mean age 50.5 years, SD 11.4 years; 10.5% female). The interview guide was based on the COM-B model to identify needs related to PA behavior in terms of capabilities, opportunities and motivation. The interviews were transcribed and coded by two independent investigators. Results. Altogether, the codes encompassed 395 statements, and the code system contained 14 codes. Three additional codes described further individual needs related to other health behaviors (nutrition, recreation) or external incentives for health interventions. Conclusion. The results reveal a variety of needs that are fundamental to the development of PA-promoting interventions for truck drivers. These needs appear to be closely linked, so a combination of capabilities, opportunities and/or motivation should be considered when developing holistic interventions. An example would be linking automatic motivation and psychological capabilities that encompass motivational techniques combined with information for psychoeducation of truck drivers.

Early Risk Detection of Burnout: Development of the Burnout Prevention Questionnaire for Coaches.

Introduction: Previous research has shown that burnout develops as the result of a continuous imbalance between chronic stress and appropriate coping resources. Hence, the essential factors to measure burnout encompassed the factors stress and recovery within our studies. However, the Burnout Prevention Questionnaire for Coaches (BPQ-C) does not represent a new questionnaire from scratch, but rather a re-evaluated, condensed, and subsequently combined instrument with scales derived from validated psychometric instruments. Methods: The objective of study 1 (N = 233) was to create and evaluate the psychometric structure of the BPQ-C. The aim of study 2 (N = 473) consisted in the validation of the BPQ-C via a Confirmatory Factor Analysis. Results: The Exploratory Factor Analysis resulted in a model with three dimensions (Pre-Burnout, Resources, and Burnout). Via the subsequent Confirmatory Factor Analysis, the model could be confirmed with good fit indices (χ2 = 96.898, df = 19, p < 0.001, CFI = 0.973, SRMR = 0.044, RMSEA = 0.093, LO90 = 0.075, HI90 = 0.112). Conclusion: The BPQ-C includes a number of previously established risk and protective factors within a single psychometric instrument. The systematic application of the BPQ-C can help to detect critical conditions at an early stage in order to derive individualized and beneficial interventions for the respective coaches.