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 t...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 S?o 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.展开更多
Background We investigate the association between different muscle strength(MS)indices with cardiometabolic variables in adolescents.Methods Cross-sectional study comprising 351 adolescents(male 44.4%,age 16.6±1....Background We investigate the association between different muscle strength(MS)indices with cardiometabolic variables in adolescents.Methods Cross-sectional study comprising 351 adolescents(male 44.4%,age 16.6±1.0 years)from Brazil.MS was assessed by handgrip strength and analyzed in live difrerent ways:absolute MS and MS normalized for body weight,body mass index(BMI),height,and fat mass,respectively.Cardiometabolic variables investigated as outcomes were systolic and diastolic blood pressure(DBP),waist circumference(WC),high-sensitive C-reactive protein(hs-CRP),lipid and glucose metabolism markers.Multiple linear regression models adjusted for confounding factors were used.Results Absolute MS and/or MS normalized for height was directly associated with WC[up to 32.8 cm.standard error(SE)=4.7]and DBP(up to 8.8 mmHg,SE=0.8),and inversely associated with high-density lipoprotein cholesterol(up to-8.0 mg/dL.SE=14.1).MS normalized for body weight.BMI or fat inass was inversely associated with WC(up to-17.5 cm,SE=2.2).According tesex,MS normalized for fat mass was inversely associated with triglycerides(male:0.02 times lower,SE=0.01;female:0.05 times lower,SE=0.01)and homeostatic model assessment for insulin resistance(male:0.02 times lower,SE=0.01;female:0.06 times lower.SE=0.01).and inversely associated with hs-CRP only among male(0.03 times lower,SE=0.01).Conclusion When normalized for body weight,BMI or fat mass,MS was superior to absolute MS or MS normalized for height in representing adequately cardiometabolic variables among adolescents.展开更多
文摘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 S?o 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.
文摘Background We investigate the association between different muscle strength(MS)indices with cardiometabolic variables in adolescents.Methods Cross-sectional study comprising 351 adolescents(male 44.4%,age 16.6±1.0 years)from Brazil.MS was assessed by handgrip strength and analyzed in live difrerent ways:absolute MS and MS normalized for body weight,body mass index(BMI),height,and fat mass,respectively.Cardiometabolic variables investigated as outcomes were systolic and diastolic blood pressure(DBP),waist circumference(WC),high-sensitive C-reactive protein(hs-CRP),lipid and glucose metabolism markers.Multiple linear regression models adjusted for confounding factors were used.Results Absolute MS and/or MS normalized for height was directly associated with WC[up to 32.8 cm.standard error(SE)=4.7]and DBP(up to 8.8 mmHg,SE=0.8),and inversely associated with high-density lipoprotein cholesterol(up to-8.0 mg/dL.SE=14.1).MS normalized for body weight.BMI or fat inass was inversely associated with WC(up to-17.5 cm,SE=2.2).According tesex,MS normalized for fat mass was inversely associated with triglycerides(male:0.02 times lower,SE=0.01;female:0.05 times lower,SE=0.01)and homeostatic model assessment for insulin resistance(male:0.02 times lower,SE=0.01;female:0.06 times lower.SE=0.01).and inversely associated with hs-CRP only among male(0.03 times lower,SE=0.01).Conclusion When normalized for body weight,BMI or fat mass,MS was superior to absolute MS or MS normalized for height in representing adequately cardiometabolic variables among adolescents.