Sleep and mental health: discoveries from data mining
DOI:
https://doi.org/10.59681/2175-4411.v17.2025.1237Keywords:
sleep quality, mental disorders, data miningAbstract
Objective: to describe sleep characteristics of patients at a psychosocial care center and identify associations between sleep and mental health treatment variables. Method: cross-sectional, descriptive, quantitative study. The study included 41 patients undergoing treatment in a city in southern Brazil. Two instruments were used: the Pittsburgh Sleep Quality Index and a personal information questionnaire. The collected data were organized in an Excel® spreadsheet, with descriptive statistics extracted and Data Mining used to discover rules. Results: 40 participants (97.5%) had scores higher than five, indicating poor sleep quality; of these, 30 (73.1%) had scores higher than ten, indicating even lower levels of sleep quality. In data mining, the general rules demonstrate that the activities performed in the studied service tend not to interfere with sleep disorders. Conclusion: there is a need to include specific guidelines and activities to address sleep quality.
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