The impact of reduced muscular fitness on cardiometabolic risk factors in children aged 9-11 years

AIM

To analyse the relationships between muscular fitness (MF), fat mass (FM), fat-free mass (FFM) and its combined ratio with cardiometabolic risk (CMR) and whether the relationship between MF and CMR is mediated by body composition in schoolchildren.

METHODS

A cross-sectional study was conducted on schoolchildren from Cuenca, Spain, between September and November 2017. FM and FFM were estimated using bioimpedance analysis. The CMR index was calculated from triglycerides-HDL-c ratio, arterial pressure and fasting insulin. The MF index was assessed using handgrip and standing long jump tests. Analysis of covariance models assessed CMR index differences across the MF index and the FM/FFM ratio categories. Mediation analysis examined whether the MF index and the CMR index association were mediated by FM, FFM or FM/FFM ratio.

RESULTS

The analyses involved 485 schoolchildren aged 9-11 years (55.4% girls). Children with a higher MF index had a lower CMR index (p < 0.05). This association did not persist after controlling for FM/FFM. FM, FFM and FM/FFM ratio mediated the relationship between the MF index and the CMR index.

CONCLUSION

Better levels of MF are associated with better cardiometabolic profile, but a healthy body composition is determinant to improve future health.

Alternatives to continuous positive airway pressure treatment in sleep apnoeas and hypopnoeas syndrome related to myofunctional and postural reeducation therapy: protocol for a systematic review

INTRODUCTION

The main treatment for sleep apnoeas and hypopnoeas syndrome (SAHS) is continuous positive airway pressure (CPAP). However, patients sometimes do not adhere to the treatment protocol. Supplementary and complementary therapies have appeared as alternatives. Some of the therapies which are especially important are those related to myofunctional (MFT) and postural therapy (PT), as all of them are non-invasive, and their application is simpler than that of CPAP. We aim to present a protocol for a systematic review and meta-analysis for investigating new SAHS treatments, including the protocols and frequency of use and the effects they have on patient signs, symptoms and quality of life.

METHODS AND ANALYSIS

The literature search will be conducted using the Cochrane, Web of Science, Medline (via PubMed) and Scopus databases, from January 2020 to December 2020. All types of studies written in English and Spanish that investigate the use of alternative SAHS treatments related to MFT, or more importantly, the combination of MFT and PRT, will be selected. To evaluate their quality, the Critical Appraisal Checklist for Analytical Cross-Sectional will be applied. The primary factor valued in the studies will be the inclusion of MFT and PT reeducation in the treatment. Subgroup analyses will be carried out evaluating the specific type of treatments chosen and the improvements or deteriorations in the level of health and quality of life in the patients. Finally, several patient-related outcomes, namely sleep quality, quality of life and sleep Apnoeas and Hypoapnoeas Index, will be examined.

ETHICS AND DISSEMINATION

In this case, ethical approval is not necessary. The data used in the review will be exclusively obtained from published studies, implying there are no privacy concerns. The information obtained will be relevant to understand if the new treatments applied in SAHS are effective, and if postural and MFT therapy used together can be considered an appropriate approach to treat this disease.The results will be published in a peer-reviewed journal.

Movement behaviors and cardiometabolic risk in schoolchildren

Growing evidence has accumulated in recent years showing that movement behaviors have important implications for health in children, especially for cardiovascular health, whose risk factors could track from childhood to adulthood. However, these findings are mixed and inconsistent in children. The aim of this study was to examine the relationship between different movement behaviors (sedentary behavior, physical activity and sleep duration) and cardiometabolic risk in schoolchildren. The study shows cross-sectional results of baseline measurement from 146 Spanish schoolchildren, aged 8-to-11 years old, participating in the MOVI-2 study. Movement behaviors were determined using accelerometry combined with self-reported sleep time. Cardiometabolic risk was assessed using a validated metabolic syndrome index. Logistic regression analysis showed that higher levels of vigorous physical activity (OR = 0.110, p = 0.004) and sleeping more than 9 hours (OR = 0.269, p = 0.015) could be protective factors against metabolic syndrome risk in children. ANCOVA analysis showed associations between vigorous physical activity and waist circumference (p < 0.001), and sleep time with insulin resistance (p = 0.017) and lipid profile (p = 0.035). No association was observed between light and moderate physical activity, sedentary behavior and metabolic syndrome (index and components). No statistically significant differences were found for blood pressure and any of the movement behaviors. Our data suggest that both the amount of vigorous physical activity accumulated and sleep duration are independently associated with higher cardiometabolic risk in children.

Sleep patterns and cardiometabolic risk in schoolchildren from Cuenca, Spain

Sleep seems to have a significant influence on the metabolic syndrome (MetS). However, results in this association are still inconsistent in children. The aim of this study was to examine the influence of sleep characteristics in the MetS (index and factors) in Spanish children. Cross-sectional study including a sample of 210 children aged 8-to-11-years belonging to 20 schools from the province of Cuenca, Spain was conducted. Cardiometabolic risk and actigraphy sleep patterns were determined and analysed using correlation coefficients, ANCOVA models and a propensity score derivation model. Overall, children in the lower time in bed category and those who went to bed later (> 23:15h) showed worse values in the cardiometabolic profile and risk index. Differences were observed when the total time in bed was below 9h 15mins. Our study shows that short sleep duration could be a risk factor for cardiometabolic risk in children, and bedtime may independently influence this risk. In addition, our data suggests that children’s sleep hygiene should be incorporated in parenting educational programs.