Tiago Rodrigues de Lima1, Diego Augusto Santos Silva2. 1. Physical Education Department, Federal University of Santa Catarina, Professor Clementino de Britto Street, 362 ap 334 Capoeiras, Florianópolis, Santa Catarina, Brazil. tiagopersonaltrainer@gmail.com. 2. Physical Education Department, Federal University of Santa Catarina, Professor Clementino de Britto Street, 362 ap 334 Capoeiras, Florianópolis, Santa Catarina, Brazil.
Abstract
BACKGROUND: Good sleep quality is an essential component for growth, development, and physical and mental health of the individual, in addition to being a positive indicator of health and well-being. The objective of this study was to estimate the prevalence of poor sleep quality and to identify the association of poor sleep quality with sociodemographic factors, lifestyle, weight status, and associated aerobic fitness in adolescents. METHODS: This study included 1110 students aged 14-19 years from city of São José/SC, Brazil. Sleep quality of the subjects was assessed using a questionnaire and classified as adequate and low. Independent variables were gender, age, monthly household income, maternal education, school shift, global physical activity, proper diet, screen time, sleeping hours of full week, sleeping hours of weekdays, sleeping hours of weekends, weight status, and aerobic fitness. Binary logistic regression was used to estimate odds ratios and confidence intervals of 95%. RESULTS: Prevalence of poor sleep quality was 60.4%. More likely to have poor sleep quality were identified in female students (OR 1.68, 95% CI 1.11-2.55), whose mothers had higher levels of education (OR 1.44, 95% CI 1.20-1.73) and low aerobic fitness (OR 1.80, 95% CI 1.02-3.19). CONCLUSION: Adolescents who were most likely to report poor sleep quality were female, those whose mothers had a higher educational level and had low aerobic fitness. Students with sedentary risk behavior were less likely of reporting poor sleep quality.
BACKGROUND: Good sleep quality is an essential component for growth, development, and physical and mental health of the individual, in addition to being a positive indicator of health and well-being. The objective of this study was to estimate the prevalence of poor sleep quality and to identify the association of poor sleep quality with sociodemographic factors, lifestyle, weight status, and associated aerobic fitness in adolescents. METHODS: This study included 1110 students aged 14-19 years from city of São José/SC, Brazil. Sleep quality of the subjects was assessed using a questionnaire and classified as adequate and low. Independent variables were gender, age, monthly household income, maternal education, school shift, global physical activity, proper diet, screen time, sleeping hours of full week, sleeping hours of weekdays, sleeping hours of weekends, weight status, and aerobic fitness. Binary logistic regression was used to estimate odds ratios and confidence intervals of 95%. RESULTS: Prevalence of poor sleep quality was 60.4%. More likely to have poor sleep quality were identified in female students (OR 1.68, 95% CI 1.11-2.55), whose mothers had higher levels of education (OR 1.44, 95% CI 1.20-1.73) and low aerobic fitness (OR 1.80, 95% CI 1.02-3.19). CONCLUSION: Adolescents who were most likely to report poor sleep quality were female, those whose mothers had a higher educational level and had low aerobic fitness. Students with sedentary risk behavior were less likely of reporting poor sleep quality.
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