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<dc:contributor>Puente López, Esteban</dc:contributor>
<dc:contributor>Universidad de Valladolid. Facultad de Comercio y Relaciones Laborales</dc:contributor>
<dc:creator>Soto Blanco, Daniel</dc:creator>
<dc:date>2025</dc:date>
<dc:description>Este Trabajo de Fin de Grado analiza cómo el entorno laboral influye en el &#xd;
bienestar emocional y la calidad de vida de trabajadores de la factoría Renault Palencia &#xd;
mediante un diseño cuantitativo, transversal y correlacional. Se encuestó a N=30 &#xd;
empleados con instrumentos validados: satisfacción laboral (Warr, Cook y Wall), &#xd;
bienestar psicológico (Ryff), estrés percibido (PSS-10), calidad del sueño (PSQI) y &#xd;
satisfacción con la vida (SWLS). Se calcularon descriptivos, correlaciones de Pearson y &#xd;
ANOVA por tipo de jornada (p&lt;0,05). Los resultados muestran asociaciones clave: &#xd;
satisfacción laboral–estrés (r=−0,59) y satisfacción laboral–satisfacción vital (r=0,62); &#xd;
el bienestar psicológico es el correlato más fuerte de la satisfacción vital (r=0,84). Los &#xd;
turnos rotativos especialmente a tres turnos (mañana, tarde y noche) se vinculan con &#xd;
menor satisfacción y mayor estrés frente a la jornada fija de mañana. El estudio propone &#xd;
intervenir en recursos laborales (autonomía, apoyo, reconocimiento), ergonomía, &#xd;
liderazgo y planificación de turnos para mitigar riesgos psicosociales y mejorar la calidad &#xd;
de vida. Limitaciones: muestra pequeña, muestreo no probabilístico, autoinforme y &#xd;
diseño transversa</dc:description>
<dc:description>This thesis analyzes how the work environment influences the emotional wellbeing and quality of life of workers at the Renault Palencia factory using a quantitative, &#xd;
cross-sectional, and correlational design. N=30 employees were surveyed using validated &#xd;
instruments: job satisfaction (Warr, Cook, and Wall), psychological well-being (Ryff), &#xd;
perceived stress (PSS-10), sleep quality (PSQI), and life satisfaction (SWLS). Descriptive &#xd;
statistics, Pearson correlations, and ANOVAs were calculated by type of shift (p&lt;0.05). &#xd;
The results show key associations: job satisfaction–stress (r=−0.59; p&lt;0.001/p=0.0006 &#xd;
(this means that, the higher the job satisfaction, the lower the stress, and that the &#xd;
probability of obtaining such a result by chance, if there were no relationship in the &#xd;
population, is very low) r²=0.35, sharing 35% of the variance) and job satisfaction–life &#xd;
satisfaction (r=0.62; p&lt;0.001/p=0.00026 (it is a positive and significant relationship; &#xd;
more job satisfaction is associated with greater life satisfaction) r²=0.38, sharing 38% of &#xd;
the variance); Psychological well-being is the strongest correlate of life satisfaction &#xd;
(r=0.84; p&lt;0.001/p=0.000000006 (this tells us that these two variables share a lot of &#xd;
6&#xd;
variance, that is, that a large part of the differences between people in one variable are &#xd;
associated with differences in the other) r²=0.71, sharing 71% of the variance). Rotating &#xd;
shifts, especially three shifts (morning, afternoon, and night), are associated with lower &#xd;
satisfaction and higher stress compared to fixed morning shifts. The study proposes to &#xd;
intervene in job resources (autonomy, support, recognition), ergonomics, leadership, and &#xd;
shift planning to mitigate psychosocial risks and improve quality of life. Limitations: &#xd;
small sample, non-probability sampling, self-report, and cross-sectional design</dc:description>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://uvadoc.uva.es/handle/10324/80664</dc:identifier>
<dc:language>spa</dc:language>
<dc:subject>6310.11 Bienestar Social</dc:subject>
<dc:subject>6307.03 Política Social</dc:subject>
<dc:title>El entorno laboral como factor determinante del  bienestar emocional y la calidad de vida</dc:title>
<dc:type>info:eu-repo/semantics/bachelorThesis</dc:type>
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