Noise and sleep quality: study among physical education instructors

Abstract

This study investigated the association between noise and impaired sleep quality in 150 physical education instructors, in bodybuilding gyms. Two questionnaires were applied: evaluation of subjective sleep quality and analysis of explanatory variables. Noise exposure was analyzed. For the data analysis, was used the technique of non-conditional logistic regression, to obtain the values of the adjusted odds ratios (OR) of the significant variables. Two proper adjustment models stood out. The first model presented the significant variables: incorrect performance of the meals (OR = 2.58, 95% CI 1.08 to 6.02); skin color – black ou brown (OR = 0.53, 95% CI 0.25 to 1.12) and exposure to noise level above or equal to 80 dB(A) (OR = 1.90; 95% CI 0.87 to 4.12). The second model presented the significant variables: incorrect performance of the meals (OR = 2.35, 95% CI 0.1 to 5.56); exposure level standardized above or equal to 80 dB(A) (OR = 2.03, 95% CI 0.92 to 4.47) and use 0of drugs for depression/anxiety (OR = 0.26; 95% CI 0.53 to 1.33). This research identified the variables that were significantly associated with impaired sleep quality, as exposure to noise, contributing to the adoption of preventive measures.

Importance of Integrating Traditional Physical Education into Physical Education Teaching Using Big Data

“…e correlation of each explanatory variable, taking correlation degree is analyzed, ambiguity degree, fitness degree, and matching degree as the constraint characteristic quantity [8], and the analytical distribution of variables is obtained, as shown in Table 1.…”

“…Furthermore, the information entropy of the significance evaluation of classical sports integration into institution physical schooling instruction is obtained conferring to the parameter adjustment method of the influencing factors. is relationship is mathematically illustrated as given in (8):…”

Can social support compensate for missing family support? An examination of dropout rates in Italy

“…Noise could be one of the causes that influence students' academic performance by disturbing their concentration. It could be assumed, in this regard, that the environment surrounding the students would favour (or not) learning (Silva & da Penha Carnevali, 2020). Crime and dropout are phenomena that can have many connections in the life paths of young people and especially those who are marginalized (Freeman, 1991).…”