Since 1988, Pittsburgh Sleep Quality Index has been used to evaluate sleep quality in healthy subjects and patients with sleep disorders and comorbidity; however have different faults concerned to items that ask about insomnia complaints caused by climatic issues, and PSQI have not categories of severity apart from good or bad sleep quality. The aim was to determine reliability and validity of the Mexican Scale of Sleep Quality (MSSQ). This was a prospective, psychometric research. In a consensus of experts were selected 18 items as a first version of the MSSQ. The MSSQ includes items related to nocturnal and diurnal symptoms; it was applied to 70 students in a pilot study in Xalapa city, Mexico. The first studied group was integrated by 35, male and female, between 18 and 24 years old; and 35 subjects older than 25 years. With these data we delete some items and corrected format of answers. In a second pilot study we applied the corrected scale to 60 participants between 18 and 50 years old. With the aim to determine the most adequate items we developed a logistic regression model, performed a exploratory factorial analysis (principal component analysis) and evaluate reliability with the Cronabch’s alpha test. In the MSSQ, the total lowest score is 0 (the best sleep quality) until 65 indicating the worst sleep quality. We propose the following 5 categories according the total score: Good Sleep Quality, and Bad Sleep Quality (BSQ) of mild, moderate, severe and extremely severe intensity. According to reliability, in the first pilot study we determined an acceptable but low Cronbach‘s alpha of 0.68, but with the second sample Cronbach‘s alpha was 0.81. Concerned to construct validity, with an exploratory factorial analysis we found that only three factors obtained an eigenvalue equal or more than one; and explains 61.7% of the variance. These three factors were named diurnal symptoms, sleep quality and nocturnal sleep duration. MSSQ has been developed with a consensus of experts, classical psychometrics procedures and mathematical models. With relatively two small samples of students the new scale obtained very acceptable psychometric values. We pretend to increase sample size, including patients with diagnosis of sleep disorders (using PSG records), and test concurrent validity performing correlations with another good accepted scales such as Epworth Sleepiness Scale, Athens Insomnia Scale and the SF-36. National council of science and technology, México, Veracruzana University and National Autonomous University of Mexico.
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