Comparison of 24-h movement behavior, health-related quality of life, and waist to height ratio between adolescents with healthy body mass index (BMI) and adolescents with BMI in the cardiometabolic risk zone

Lemes, Vanilson Batista; Gaya, Adroaldo Cezar Araújo; Gaya, Anelise Reis

doi:10.1007/s11332-022-01023-x

Cited by 6 publications

(25 citation statements)

References 39 publications

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“…A cross-sectional study with a quantitative approach was conducted according to previous published work [17,[23][24][25].…”

Section: Study Design Sample and Ethical Proceduresmentioning

confidence: 99%

“…Four schools were selected using convenience criteria, which included factors such as the highest number of enrollments in the state elementary school system in the city, with approximately 1166 students, accounting for 74% of the total population of the seven schools. The selection also considered variations in educational development indexes (IDEB) among the schools and their distinct geographical distribution across the four regions of the city: north-center, southcenter, east, and west [17,[23][24][25].…”

Section: Study Design Sample and Ethical Proceduresmentioning

confidence: 99%

“…Participants were selected from the sixth to ninth grades of elementary school in 2017, encompassing adolescents aged 11 to 17 years (Mean: 13.22 ± 1.50). The distribution of participants across schools was determined based on the number of enrollments in each respective class, and the selection of subjects was made through a randomization process [17,24,27,29]. According to the enrollment proportions at each institution, a total of 470 participants were included in the present sample.…”

Section: Study Design Sample and Ethical Proceduresmentioning

confidence: 99%

“…According to the enrollment proportions at each institution, a total of 470 participants were included in the present sample. The distribution of participants across the schools is as follows: School 1, N = 135; School 2, N = 139; School 3, N = 51; and School 4, N = 145 [17,24,27,29].…”

Section: Study Design Sample and Ethical Proceduresmentioning

confidence: 99%

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Associations of sleep time, quality of life, and obesity indicators on physical literacy components: a structural equation model

Lemes,

Sehn,

Reuter

et al. 2024

BMC Pediatr

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Aim To verify the association between ideal sleep time and physical literacy components while also considering multiple mediators, such as quality of life and obesity, using a sample of adolescents. Methods This cross-sectional study consisted of 470 adolescents aged 11–17 years from southern Brazil. Sleep time, health-related quality of life, and physical literacy components (i.e., physical education enjoyment, sports participation, sedentary behavior, moderate to vigorous physical activity, sex, and age) were evaluated through self-reported questionnaires. In addition, body mass index (BMI), and waist circumference were determined. The theoretical/statistical support of the structural equation model was evaluated according to fit parameters and strength of association. Results A direct association was observed between more sleep time and lower levels of obesity. The obesity indicators also had a negative association with HqOL, and HqOL had a positive association with physical literacy. The indirect associations indicated that the ideal sleep time was positively associated with HqOL and physical literacy components, considering the negative mediation effect of obesity. The model explains physical literacy in 31% of the variance (R = 0.31). Conclusion There was an indirect association between ideal sleep duration and quality of life and between both variables with physical literacy. These relationships occur even considering the negative influence of obesity. Therefore, a child who sleeps adequately has a higher likelihood of being physically active, regardless of obesity, potentially enhancing overall quality of life across various domains.

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“…A cross-sectional study with a quantitative approach was conducted according to previous published work [17,[23][24][25].…”

Section: Study Design Sample and Ethical Proceduresmentioning

confidence: 99%

Section: Study Design Sample and Ethical Proceduresmentioning

confidence: 99%

Section: Study Design Sample and Ethical Proceduresmentioning

confidence: 99%

Section: Study Design Sample and Ethical Proceduresmentioning

confidence: 99%

See 2 more Smart Citations

Associations of sleep time, quality of life, and obesity indicators on physical literacy components: a structural equation model

Lemes,

Sehn,

Reuter

et al. 2024

BMC Pediatr

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“…[1,2] It needs to be mentioned though that a sedentary lifestyle during adolescence highly predisposes to an inactive life during adulthood, consequently affecting their level of health. [3][4][5] Inactivity is strongly associated with the onset of obesity from an early age. Nowadays obesity is reaching epidemic proportions in children and adolescents.…”

Section: Introductionmentioning

confidence: 99%

Correlation of Anthropometric Characteristics and Movement Behavior with Lower Extremity Muscle Power and Dynamic Knee Valgus in Adolescent Basketball Athletes

Stojiljkovic,

Karagianni,

Antoniou

et al. 2023

Preprint

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Obesity in adolescents combined with the increased exposure time to electronic devices, enhances a sedentary lifestyle and is linked to the risk of developing musculoskeletal injuries. The aim of this study was to identify possible correlations between anthropometric characteristics, body composition, exposure time to electronic devices or screen time (ST) and physical activity (PA) level along with muscle power and dynamic knee valgus (DKV) in young athletes to avoid future injuries. A total of 125 adolescent basketball athletes (66.4% boys), 12 to 17 years old (13.94±1.58 years) participated. Anthropometric and demographic characteristics were recorded. PA level was assessed through IPAQ and ST through a single question from the HELENA study. The Counter Movement Jump test was used for the evaluation of the lower limb muscle power, while the Single Leg Drop Jump test was used for the evaluation of the dynamic knee valgus via two-dimensional (2D) kinematic analysis. The Pearson index showed a statistically significant positive correlation between muscle power and height (r=0.788, p<0.001), while the Spearman index showed a smaller but equally statistically significant positive correlation with BMI (rs =0.651, p<0.001) and age (rs=0.579, p<0.001). The ST (rs= -0.194, p=0.03) showed a weak negative correlation with DKV, while PA (r=0.85, p<0.001) showed a high, statistically significant, positive correlation. The anthropometric characteristics of adolescent athletes can determine their ability to produce muscle power. A high level of physical activity could play a key role in compensating and thus reducing the negative effects of high exposure to screen time on the dynamic knee valgus

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Associations of Sleep Time, Quality of Life, and Obesity Indicators on Physical Literacy Components: A Structural Equation Model

Lemes,

Sehn,

Reuter

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Aim To verify the association between ideal sleep time and physical literacy components while also considering multiple mediators such as quality of life and obesity, using a sample of adolescents. Methods This was a cross-sectional study that consisted of 470 adolescents aged 11–17 years from southern Brazil. Sleep time, health-related quality of life, and physical literacy components (i.e., physical education enjoyment, sports participation, sedentary behavior, moderate to vigorous physical activity, sex, and age) were evaluated through self-reported questionnaires. In addition, body mass index (BMI) was obtained by dividing body mass by height (in meters) squared, and waist circumference was measured using a metallic tape. The theoretical/statistical support of the structural equation model was evaluated according to fit parameters and strength of association. Results A direct association was observed between more sleep time and lower levels of obesity. The obesity indicators also had a negative association with HqOL, and HqOL had a positive association with physical literacy. The indirect associations indicated that the ideal sleep time was positively associated with HqOL and physical literacy components, considering the negative mediation effect of obesity. The model explaining physical literacy explained 31% of the variance (R = 0.31). Conclusion There was an indirect association between ideal sleep duration and quality of life, and between both variables with physical literacy. These relationships occur even considering the negative influence of obesity. Therefore, a child who sleeps adequately has a higher likelihood of being physically active, regardless of obesity, potentially enhancing overall quality of life across various domains.

show abstract

Comparison of 24-h movement behavior, health-related quality of life, and waist to height ratio between adolescents with healthy body mass index (BMI) and adolescents with BMI in the cardiometabolic risk zone

Cited by 6 publications

References 39 publications

Associations of sleep time, quality of life, and obesity indicators on physical literacy components: a structural equation model

Associations of sleep time, quality of life, and obesity indicators on physical literacy components: a structural equation model

Correlation of Anthropometric Characteristics and Movement Behavior with Lower Extremity Muscle Power and Dynamic Knee Valgus in Adolescent Basketball Athletes

Associations of Sleep Time, Quality of Life, and Obesity Indicators on Physical Literacy Components: A Structural Equation Model

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