2026-04-14T19:38:31Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/806642025-12-16T20:08:42Zcom_10324_38col_10324_852
Soto Blanco, Daniel
2025-12-16T10:43:41Z
2025-12-16T10:43:41Z
2025
https://uvadoc.uva.es/handle/10324/80664
Este Trabajo de Fin de Grado analiza cómo el entorno laboral influye en el
bienestar emocional y la calidad de vida de trabajadores de la factoría Renault Palencia
mediante un diseño cuantitativo, transversal y correlacional. Se encuestó a N=30
empleados con instrumentos validados: satisfacción laboral (Warr, Cook y Wall),
bienestar psicológico (Ryff), estrés percibido (PSS-10), calidad del sueño (PSQI) y
satisfacción con la vida (SWLS). Se calcularon descriptivos, correlaciones de Pearson y
ANOVA por tipo de jornada (p<0,05). Los resultados muestran asociaciones clave:
satisfacción laboral–estrés (r=−0,59) y satisfacción laboral–satisfacción vital (r=0,62);
el bienestar psicológico es el correlato más fuerte de la satisfacción vital (r=0,84). Los
turnos rotativos especialmente a tres turnos (mañana, tarde y noche) se vinculan con
menor satisfacción y mayor estrés frente a la jornada fija de mañana. El estudio propone
intervenir en recursos laborales (autonomía, apoyo, reconocimiento), ergonomía,
liderazgo y planificación de turnos para mitigar riesgos psicosociales y mejorar la calidad
de vida. Limitaciones: muestra pequeña, muestreo no probabilístico, autoinforme y
diseño transversa
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,
cross-sectional, and correlational design. N=30 employees were surveyed using validated
instruments: job satisfaction (Warr, Cook, and Wall), psychological well-being (Ryff),
perceived stress (PSS-10), sleep quality (PSQI), and life satisfaction (SWLS). Descriptive
statistics, Pearson correlations, and ANOVAs were calculated by type of shift (p<0.05).
The results show key associations: job satisfaction–stress (r=−0.59; p<0.001/p=0.0006
(this means that, the higher the job satisfaction, the lower the stress, and that the
probability of obtaining such a result by chance, if there were no relationship in the
population, is very low) r²=0.35, sharing 35% of the variance) and job satisfaction–life
satisfaction (r=0.62; p<0.001/p=0.00026 (it is a positive and significant relationship;
more job satisfaction is associated with greater life satisfaction) r²=0.38, sharing 38% of
the variance); Psychological well-being is the strongest correlate of life satisfaction
(r=0.84; p<0.001/p=0.000000006 (this tells us that these two variables share a lot of
6
variance, that is, that a large part of the differences between people in one variable are
associated with differences in the other) r²=0.71, sharing 71% of the variance). Rotating
shifts, especially three shifts (morning, afternoon, and night), are associated with lower
satisfaction and higher stress compared to fixed morning shifts. The study proposes to
intervene in job resources (autonomy, support, recognition), ergonomics, leadership, and
shift planning to mitigate psychosocial risks and improve quality of life. Limitations:
small sample, non-probability sampling, self-report, and cross-sectional design
spa
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
El entorno laboral como factor determinante del bienestar emocional y la calidad de vida
info:eu-repo/semantics/bachelorThesis