Previous studies have demonstrated the existence of pathologies that affect sleep quality in the university population. For this reason, sleep problems have been studied in Honduras using the Pittsburgh Sleep Quality Index Scale (PSQI) in its Spanish version, but there are no normative data that can be used in settings. clinical. The main objective of this study was the creation of normative data using percentiles and Z scores for the interpretation of the PSQI scale. A cross-sectional correlated study was carried out in the period from February to March 2024, using stratified probabilistic sampling, with a total of 1050 participants, institutionalized in public university centers in the northern region of Honduras. The main descriptive statistics and psychometric properties of the scale were analyzed; McDonald's omega Ω = 0.88 and Cronbach's alpha α = 0.83, and several models were tested using confirmatory factor analysis (CFA), the hierarchical model was the one that presented the best fit indices with a CFI = .962; NFI = .967; TLI = .954; SRMR = .054; RMSEA = .051, and finally normative data adjusted to the sociodemographic and clinical characteristics of the sample were generated. The PSQI scale presented adequate psychometric properties, and the normative data generated could be used in decisions making regarding the sleep health of college students. 

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