Relación entre la calidad del sueño y factores sociodemográficos: un análisis mediante el algoritmo K-Modes

Pamela Alejandra  Ruiz Polit

doi:10.59169/pentaciencias.v6i7.1294

Authors

Pamela Alejandra Ruiz Polit [email protected] https://orcid.org/0009-0005-3543-3791

DOI:

https://doi.org/10.59169/pentaciencias.v6i7.1294

Keywords:

sleep quality; sociodemographic factors; educational level; Cluster; K-Modes

Abstract

Sleep quality is essential for physical and mental health, influenced by factors such as gender, age, and environment. Lack of sleep can cause chronic diseases and reduce quality of life, highlighting the importance of analyzing its determinants. The study seeks to explore the relationship between sleep quality and sociodemographic factors using the K-Modes algorithm, highlighting patterns in the adult population. A cross-sectional study was conducted with 102 participants. Variables such as sleep quality, latency, duration, gender, age, place of origin and educational level were analyzed. The K-Modes algorithm was used to group categorical data into clusters. The analysis revealed three main clusters with distinctive characteristics in terms of sleep quality and sociodemographic factors. Younger women reported better sleep conditions, while older people, especially from rural areas and with lower educational level, tended to have worse sleep quality. The findings highlight the influence of gender, age, place of origin and educational level on sleep quality. Women, young people and people with higher educational levels tended to report better sleep quality. Older adults and those living in rural areas are more likely to report poor sleep quality. Sleep quality is influenced by sociodemographic factors such as gender, age, and place of residence. The use of tools such as the K-Modes algorithm allows the identification of patterns to develop personalized interventions to improve sleep quality in vulnerable populations.

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