Association Between the Screen Time and the Cardiorespiratory Fitness With the Presence of Metabolic Risk in Schoolchildren

Silveira, João Francisco de Castro; Barbian, Cláudia Daniela; Burgos, Leandro Tibiriçá; Renner, Jane Dagmar Pollo; Paiva, Dulciane Nunes; Reuter, Cézane Priscila

doi:10.1590/1984-0462/2020/38/2019134

Cited by 11 publications

(3 citation statements)

References 27 publications

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“…Thus, CRF was determined by multiplying the number of laps by the metres covered. The sixminute walking and running test is commonly used for the evaluation of Brazilian youth due to ease of application, low cost of material, and the opportunity to evaluate a large number of participants simultaneously [ 20 , 21 ]. Children and adolescents were classified as Fit and Unfit according to the cut-off points proposed by Projeto Esporte Brasil for sex and age [ 19 ].…”

Section: Methodsmentioning

confidence: 99%

Fitness and fatness in children and adolescents: investigating their role in the association between physical activity and cardiometabolic health

Brand,

Sehn,

Fochesatto

et al. 2024

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To verify the role of the combination of fitness and fatness in the relationship between physical activity (PA) and cardiometabolic risk in children and adolescents. This is a cross-sectional study performed with 2786 children and adolescents (6 to 17 years). Fitness was determined by the cardiorespiratory fitness (CRF) six-minute walking and running test. Waist circumference (WC) was considered a fatness indicator. A selfreported questionnaire was used to determine PA practice, whereas the clustered cardiometabolic risk score (cMetS) was calculated by summing z-scores of triglycerides, total cholesterol/HDL-C ratio, systolic blood pressure, glucose, and WC. Considering the combination of CRF (fitness) and WC (fatness), the following phenotypes were created: Fit/Unfat, Fit/Fat, Unfit/Unfat and Unfit/Fat. Moderation analyses were tested using linear regression models. Significant interactions were found between PA and Unfit/Fat category (β = -0.001; p = 0.001) only for adolescents. The interaction observed in the Unfit/Fat phenotype indicated that adolescents who practise PA for 330 minutes per week presented lower cMetS compared to those who do not practise or practise for 60 minutes respectively. The combination of fitness and fatness moderates the relationship between PA and cardiometabolic risk, suggesting that adolescents, particularly those who are less fit and present high adiposity, should be encouraged to engage in regular PA to improve their metabolic health.

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Section: Methodsmentioning

confidence: 99%

Fitness and fatness in children and adolescents: investigating their role in the association between physical activity and cardiometabolic health

Brand,

Sehn,

Fochesatto

et al. 2024

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“…Evidence indicates that direct measures are more recommended for evaluating CRF related to cardiovascular disease [29], however, indirect measures, such as field tests are also considered as a useful alternative [30][31][32]. The six-minute running/walking test is commonly used for the evaluation of Brazilian schoolchildren, due to low operating costs, ease of application and the opportunity to evaluate a large number of individuals simultaneously [33,34]. It is also useful for tracking children and adolescents at risk of developing negative health outcomes [35,36].…”

Section: Introductionmentioning

confidence: 99%

Neck circumference and cardiometabolic risk in children and adolescents: the moderator role of cardiorespiratory fitness

et al. 2021

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Background The increased incidence of cardiometabolic risk factors has become a public health issue, especially in childhood and adolescence. Thus, early identification is essential to avoid or reduce future complications in adulthood. In this sense, the present study aimed to verify the influence of cardiorespiratory fitness (CRF) as a moderator in the association between neck circumference (NC) and cardiometabolic risk in children and adolescents. Methods Cross-sectional study that included 2418 randomly selected children and adolescents (52.5% girls), aged 6 to 17 years old. Anthropometric measurements, such as NC and body mass index (BMI), and CRF was measured by the six-minute running/walking test, as well as cardiometabolic risk (systolic blood pressure, glucose, HDL-C, and triglycerides), were assessed. Results For all age groups, NC showed a negative relationship with CRF. A significant interaction term was found for CRF x NC with cardiometabolic risk for children (6 to 9 years old), early adolescents (10 to 12 years old), and middle adolescents (13 to 17 years old). It was found that children who accomplished more than 1092.49 m in CRF test were protected against cardiometabolic risk when considering NC. In adolescents, protection against cardiometabolic risk was found when the CRF test was completed above 1424.14 m and 1471.87 m (early and middle stage, respectively). Conclusions CRF is inversely associated with NC and acts as a moderator in the relationship between NC and cardiometabolic risk in children and adolescents. Therefore, this detrimental health impact linked to fatness might be attenuated by improving CRF levels.

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“…Measures of abdominal obesity and WC in U.S. adolescents have increased in past decades, with current estimates (2011-2012) of abdominal obesity surpassing 30% and mean WC estimates surpassing 80 cm [5]. Cardiorespiratory fitness (CRF) is another risk factor for premature morbidity and mortality with known associations with abdominal obesity [6,7,8].…”

Section: Introductionmentioning

confidence: 99%

Health Insurance Moderates the Waist Circumference and Cardiorespiratory Fitness Relationship in U.S. Adolescents

Hart¹

2020

AJMSM

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Background: Abdominal obesity is a cardiometabolic risk factor and shown to be related to cardiorespiratory fitness (CRF). The purpose of this study was to examine the moderating effects of health insurance (HI) on the waist circumference (WC) and CRF relationship in U.S. adolescents. Methods: Data from youths 12 to 15 years of age participating in the 2012 NHANES National Youth Fitness Survey (NNYFS) were used. Both WC (cm) and CRF (ml/kg/min) were measured by trained medical personnel with HI status assessed via questionnaire by proxy. Binary variables were created at the median for WC and CRF. Multivariate logistic regression was used to examine the relationship between WC, HI and CRF while controlling for confounding variables. Results: The overall prevalence of no HI was 6.5% (95% CI: 2.78-10.20). Findings from the fully adjusted model predicting low CRF showed a significant (p = .020) WC-by-HI interaction. Slicing the model by HI status showed a significant decreased risk of low CRF for adolescents with HI and low WC (OR = 0.25, 95% CI: 0.19-0.33). Additionally, a significant decreased risk of low CRF was seen among those with no HI and low WC (OR = 0.50, 95% CI: 0.28-0.88). Slicing the model by WC status showed a significant increased risk of low CRF for adolescents with low WC and no HI (OR = 2.44, 95% CI: 1.22-5.32). However, no significant HI and CRF relationship was observed among adolescents with high WC. Conclusion: This study showed that HI moderates the WC and CRF relationship in U.S. adolescents. Specifically, having low WC appears to protect adolescents against low CRF. Whereas having HI looks as if to protect against low CRF only for those with low WC.

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Association Between the Screen Time and the Cardiorespiratory Fitness With the Presence of Metabolic Risk in Schoolchildren

Cited by 11 publications

References 27 publications

Fitness and fatness in children and adolescents: investigating their role in the association between physical activity and cardiometabolic health

Fitness and fatness in children and adolescents: investigating their role in the association between physical activity and cardiometabolic health

Neck circumference and cardiometabolic risk in children and adolescents: the moderator role of cardiorespiratory fitness

Health Insurance Moderates the Waist Circumference and Cardiorespiratory Fitness Relationship in U.S. Adolescents

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