Publications by authors named "Maria-Jose Serrano-Fernandez"

Background: The development of new technologies (ICTs), and specifically the invention of smartphones, has offered users enormous benefits. However, the use of this technology is sometimes problematic and can negatively affect people's lives. Nomophobia has been defined as the fear of being unreachable by means of a smartphone and is considered a disorder of the modern world.

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The Organizational Culture Assessment Instrument is a common instrument for measuring organizational culture in English-speaking countries based on four factors: Clan, , Market and Hierarchy. However, to date, there is no proper translation of the scale into Spanish. In this study, we describe the translation and adaptation of the instrument through Exploratory Factor Analysis with a Spanish sample ( = 246; 69.

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Organizational culture is a central concept in research due to its importance in organizational functioning and suffering of employees. To better manage suffering, it is necessary to better understand the intrinsic characteristics of each type of culture and also its relationships with the environment. In this study, we used the multiple regression analysis to analyze the capacity of eight environment variables, five business strategies, and eight organizational competencies to predict the presence of Clan, Market, and Hierarchy cultures (Cameron and Quinn, 1999) in a subsample of Spanish managers ( = 362) and a subsample of Peruvian managers ( = 1,317).

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In health and safety at work, two main groups of causes of occupational accidents have been identified: unsafe conditions or technical factors; and the causes related to safe behavior or the human factor. The objective of this study is to analyze the predictive variables (emotional intelligence, personality, impulsivity and safety of the work environment) for three factors of the CONS-32 scale (criterion variables: use of protections, personal risk behavior and personal physical workload) in the construction sector. Using a sample of 256 Spanish workers from this sector, we analyzed the significant correlations between the three criterion variables and a set of variables extracted from various instruments, as well as the regression models that explain most of the variance.

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Several studies have shown that one of the most common causes of collision is driver fatigue since fatigue causes drowsiness while driving and this decreases the driver's ability to maneuver the vehicle and increases the probability of their nodding off and falling asleep at the wheel. This may be due to a variety of personal reasons and specific factors connected to working conditions. In the present work we therefore intend to develop a predictive model for fatigue in professional drivers using the following indicators: age, gender, personality, burnout, characteristics and job content.

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Stress maintained over time leads to a state of exhaustion known as burnout syndrome. This syndrome constitutes an occupational health problem, leading to high absenteeism. It can also mean that workers come to the workplace feeling unwell, which increases occupational collisions and injuries at work.

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The study objective is to create a scale specifically for measuring driver fatigue and to analyze the scale's psychometric properties. The participants were 518 Spanish drivers. We carried out an exploratory factor analysis (EFA) and the first subsample obtained a single-item solution (eight items).

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. Professional drivers drive for many hours without rest. This factor, in addition to the characteristics of the job, the vehicle, the environment and the driver, causes driver fatigue.

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Background: A worker's work habits can affect their health, both physically and psychologically. Negative results have been associated with work demands (stress, anxiety and depression).

Objective: In the present research we carried out a predictive study of work addiction by applying three questionnaires on depression and anxiety.

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Professional drivers are considered prone to health risks. For this reason we have conducted a predictive study to analyze variables that may be predictors of stress in driving. Participating in this study were 372 drivers (93.

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