The role of organizational factors in promoting workers' health in the construction sector: A comprehensive analysis.

INTRODUCTION: The number of physical and mental problems caused by occupational accidents and diseases increases every year. To control them, the safety climate at work is a recognized critical factor. However, a widely applicable model to capture the safety climate for various industries and organizations is lacking. METHOD: This study proposes a theoretical model to measure the direct and indirect effects of safety climate on workers' physical and mental health, mediated by job satisfaction, in the construction sector. We propose a multidimensional construct of safety climate, considering the most salient factors from the literature, and including psychological capital as a new factor. Using data from the last wave of the European Working Conditions Survey (2015) in Spain, the proposed model was validated using structural equation modeling. RESULTS: Our findings suggest that to further improve the mental health of construction workers, work-life balance and job rewards and compensation must be prioritized along with safety climate. As for physical health, safety climate and work-life balance are crucial. Finally, we provide some recommendations for construction company managers based on a ranking of all the factors affecting the safety climate and the workers' health.

Ibiza dances to the rhythm of pedals: The motivations of mountain biking tourists competing in sporting events.

Renowned worldwide for its nightlife, Ibiza has been diversifying its portfolio of tourism products by actively committing to sports tourism. The primary objective of this study is to explore the profile of the mountain bikers participating in the 2016 IBIZA BTT, a medium-sized international sporting event, taking place in the Balearic Islands, Spain. The study addresses the analysis of visitor motivations. A sample of participants (n = 499) was segmented using cluster analysis to explore the differences between segments in terms of sociodemographic and behavioral variables. A factor analysis revealed four motivational dimensions: physiological-sensory, utilitarian purposes, hedonic and previous experience. The average values indicated that route signage, good weather, and the cost of the trip were the main motivations. The cluster analysis resulted in three groups of cyclists: multipurpose seekers, utility-prestige and sensory seekers. In order to refine the group profiles, they were crossed with socio-economic and behavioral variables.