Comparison of performance and anthropometric parameters in paediatric competitive athletes during COVID-19 pandemic in the Czech Republic.

OBJECTIVES: In 2020, measures against the spread of COVID-19 were adopted, including nationwide school closures, restrictions on the free movement of persons and leisure time sports activities. The aim was to assess the impact of COVID-19-associated restrictions on the performance of paediatric and adolescent competitive athletes by comparing basic anthropometric and performance parameters. METHODS: The sample comprised 389 participants (115 girls, 274 boys). All participants were examined during regular preventive sports health checks from September to November 2019 and a year later. At the initial examination, the mean age of the entire sample was 12.2 ± 2.7 years (median 12.0, minimum 7.0; maximum 17.0). The examination consisted of a complete medical history and physical examination including maximal exercise testing on a leg cycle ergometer. RESULTS: In the entire sample, as well as in the boy and girl subgroups, body height, weight, body mass index (BMI), BMI percentile, and power output significantly increased according to a percentile graph for boys and girls in 2020. A reduction in power output (W/kg) was found. By 2020, W/kg dropped in 56.4% of the youngest participants (7-13 years), 75% of those aged 14-16 years and 64.9% of the oldest individuals (16-17 years). The percentage of the youngest children with power output reductions was statistically significantly lower than the percentages of the other age subgroups (p = 0.007). There were no significant differences in results between genders. CONCLUSIONS: Performance and anthropometric parameters worsened especially among older children. This should be reflected when planning epidemic measures in case of any similar situation in the future.

A multivariate analysis to propose linear models for the stature estimation in the Sabahan young adult population.

BACKGROUND: Stature is one of the significant parameters to confirm a biological profile besides sex, age, and ancestry. Sabah is in the Eastern part of Malaysia and is populated by multi-ethnic groups. To date, limited studies on stature estimation have been conducted in Sabah. Hence, this study aims to construct population-specific stature estimation equations for the large ethnic groups in Sabah, Malaysia. OBJECTIVE: The aim is to propose linear models using different hand dimensions (hand span, handbreadth, hand length, middle finger length, and the second inter-crease in the middle finger) for the young adult male and females of the major ethnic groups in Sabah. MATERIALS & METHODS: This cross-sectional study framework used stratified random sampling on 184 male and 184 female young adults. An unpaired t-test and a one-way ANOVA were used to assess the differences in the mean between sex and ethnicities, respectively. The link between the response variable and explanatory variables was initially investigated using simple linear regression, followed by multiple linear regression. RESULT: The present study demonstrated the highest association for the quantitative explanatory variables among hand length and stature (right side: r = 0.833; left side: r = 0.842). Simple equations were specifically developed without sex indicators, and ethnic and multiple linear regression was developed with sex and ethnic indicators. Multiple linear regression provided good estimation r2 = 0.7886 and adjusted r2 = 0.7853. The stature of 18 to 25 year old large ethnic groups in Sabah can be estimated using the developed models 90.218 + 3.845 LHL -5.950 Sex-2.308 Bajau -1.673 KadazanDusun + 2.676 L2ICL. While, formula for each ethnic and sex KadazanDusun Male: Stature = 88.545 + 3.845 LHL+ 2.676 L2ICL, KadazanDusun Female: Stature = 82.595 + 3.845 LHL+ 2.676 L2ICL, Bajau Male: Stature = 87.910 + 3.845 LHL+ 2.676 L2ICL, Bajau Female: Stature = 81.960 + 3.845 LHL+ 2.676 L2ICL, Malay Male: Stature = 90.218 + 3.845 LHL+ 2.676 L2ICL, Malay Female: Stature = 84.268 + 3.845 LHL+ 2.676 L2ICL, Chinese Male: Stature = 90.218 + 3.845 LHL+ 2.676 L2ICL, and Chinese Female: Stature = 84.268 + 3.845 LHL+ 2.676 L2ICL. CONCLUSION: The study reports anthropometric data and formulas for measuring the stature of major ethnic groups in Sabah, which can be used to compare future work.

Addition of Midthigh Circumference Improves Predictive Ability of Broselow Tape Weight Estimation.

OBJECTIVES: This study aimed to improve the accuracy of Broselow tape (BT) weight prediction by adding midthigh circumference (MTC) and to compare and standardize the methods for measuring MTC. METHODS: This prospective, observational study was conducted in a pediatric emergency department of a tertiary care children's hospital. Children up to 12 years of age presenting to emergency department were included. Children were excluded if obtaining the data would interfere with their acute management. The data collected included MTC, height, BT weight, and actual weight. Three models were built. Broselow tape-only model and MTC plus BT model used 2 methods for MTC measurements: visual approximation of thigh midpoint (visual MTC1) and Centers for Disease Control and Prevention (CDC)-defined method (CDC MTC2). RESULTS: A total of 430 children were enrolled during pre-coronavirus disease era. Of these, 234 were boys (54.4%) and 196 (45.6%) were girls. Data were categorized into children younger than 2 years (224 [52.1%]) and older than 2 years (206 [47.9%]). African American constituted 250 (58%); White, 136 (31%); and unspecified, 27 (6%). For the entire cohort, both models that included MTC were significantly better at weight prediction with larger adjusted R2 (visual MTC1, 0.921; CDC MTC2, 0.928) and smaller root mean squared (RMSE) (visual MTC1, 2.70; CDC MTC2, 2.56) compared with BT-only model (adjusted R2 = 0.843; RMSE, 3.80). Midthigh circumference plus BT models performed even better in children older than 2 years compared with BT-only model with adjusted R2 (visual MTC1, 0.859; CDC MTC2, 0.872 vs 0.616) and RMSE (visual MTC1, 3.18; CDC MTC2, 3.03 vs 5.27). CONCLUSIONS: The inclusion of MTC with BT resulted in a more accurate weight prediction in children especially greater than 2 years old. Midthigh circumference model using CDC-defined method was slightly better predictor of actual weight than visual approximation.

A Multidomain Approach to Assessing the Convergent and Concurrent Validity of a Mobile Application When Compared to Conventional Methods of Determining Body Composition.

Determining body composition via mobile application may circumvent limitations of conventional methods. However, the accuracy of many technologies remains unknown. This investigation assessed the convergent and concurrent validity of a mobile application (LS) that employs 2-dimensional digital photography (LS2D) and 3-dimensional photonic scanning (LS3D). Measures of body composition including circumferences, waist-to-hip ratio (WHR), and body fat percentage (BF%) were obtained from 240 healthy adults using LS and a diverse set of conventional methods-Gulick tape, bioelectrical impedance analysis (BIA), and skinfolds. Convergent validity was consistently high-indicating these methods vary proportionally and can thus reliably detect changes despite individual measurement differences. The span of the Limits of Agreement (LoA) using LS were comparable to the LoA between conventional methods. LS3D exhibited high agreement relative to Gulick tape in the measurement of WHR, despite poor agreement with individual waist and hip circumferences. In BF%, LS2D exhibited high agreement with BIA and skinfold methods, whereas LS3D demonstrated low agreement. Interestingly, the low inferred bias between LS3D and DXA using existing data suggests that LS3D may have high agreement with dual-energy x-ray absorptiometry. Overall, the suitability of LS2D and LS3D to replace conventional methods must be based on an individual user's criteria.

The validity of the global leadership initiative on malnutrition criteria for diagnosing malnutrition in critically ill patients with COVID-19: A prospective cohort study.

BACKGROUND AND AIM: We conducted the present study to investigate the nutritional status of critically ill COVID-19 patients and validate the GLIM criteria with respect to the SGA. METHODS: In this prospective cohort study, 109 ICU patients were assessed for malnutrition based on GLIM and SGA criteria. The relation between nutrition assessment tools and duration of hospitalization and mortality were also evaluated. The sensitivity and specificity of GLIM criteria concerning the detection of malnutrition was assessed based on the area under the curve. RESULTS: Malnutrition, according to the SGA and GLIM criteria, was found in 68 (62.4%) and 66 (61.5%) of our subjects. There was an optimal agreement between the GLIM criteria and the SGA criteria regarding malnutrition diagnosis (K = 0.85, P < 0.001). The area under curve for the GLIM was stratified based on the SGA results and was 0.927 (95% CI: 0.868-0.985) with a sensitivity and specificity of 92% and 93%, respectively. CONCLUSION: Malnutrition is frequently observed in critically ill COVID-19 patients. GLIM criteria is a valid tool and has a strong association with mortality and longer duration of ICU stay.

Predicting Obesity Using Facial Pictures during COVID-19 Pandemic.

BACKGROUND: Sedentary lifestyle and work from home schedules due to the ongoing COVID-19 pandemic in 2020 have caused a significant rise in obesity across adults. With limited visits to the doctors during this period to avoid possible infections, there is currently no way to measure or track obesity. METHODS: We reviewed the literature on relationships between obesity and facial features, in white, black, hispanic-latino, and Korean populations and validated them against a cohort of Indian participants (n = 106). The body mass index (BMI) and waist-to-hip ratio (WHR) were obtained using anthropometric measurements, and body fat mass (BFM), percentage body fat (PBF), and visceral fat area (VFA) were measured using body composition analysis. Facial pictures were also collected and processed to characterize facial geometry. Regression analysis was conducted to determine correlations between body fat parameters and facial model parameters. RESULTS: Lower facial geometry was highly correlated with BMI (R 2 = 0.77) followed by PBF (R 2 = 0.72), VFA (R 2 = 0.65), WHR (R 2 = 0.60), BFM (R 2 = 0.59), and weight (R 2 = 0.54). CONCLUSIONS: The ability to predict obesity using facial images through mobile application or telemedicine can help with early diagnosis and timely medical intervention for people with obesity during the pandemic.

Impact of the COVID-19 pandemic on phase 2 cardiac rehabilitation patients in Japan.

This study aimed to clarify the effects of the interruption of cardiac rehabilitation (CR) and refraining from going outside due to the COVID-19 pandemic on hemodynamic response and rating of perceived exertion (RPE) during exercise including differences by age in phase 2 CR outpatients. Among 76 outpatients participating in consecutive phase 2 CR in both periods from March to April and June to July 2020, which were before and after CR interruption, respectively, at Sanda City Hospital were enrolled. The inclusion criterion was outpatients whose CR was interrupted due to COVID-19. We compared the data of hemodynamic response and RPE during exercise on the last day before interruption and the first day after interruption when aerobic exercise was performed at the same exercise intensity in the < 75 years group and ≥ 75 years group. Fifty-three patients were enrolled in the final analysis. Post-CR interruption, peak heart rate increased significantly (p = 0.009) in the < 75 years group, whereas in the ≥ 75 years group, weight and body mass index decreased significantly (p = 0.009, 0.011, respectively) and Borg scale scores for both dyspnea and lower extremities fatigue worsened significantly (both, p < 0.001). CR interruption and refraining from going outside due to the COVID-19 pandemic affected the hemodynamic response, RPE during exercise and body weight in phase 2 CR outpatients. In particular, patients aged ≥ 75 years appeared to be placed at an increased risk of frailty.

Anthropometric assessment in ambulatory nutrition amid the COVID-19 pandemic: Possibilities for the remote and in-person care.

BACKGROUND AND AIMS: The COVID-19 pandemic has caused many changes in the nutritional care process as a result of the social distancing measures imposed, especially in the assessment of nutritional status, in which obtaining anthropometric measures is necessary. METHODS: Critical review of the international anthropometry literature, in the light of the recent scientific evidence of COVID-19. RESULTS: This paper presents recommendations for anthropometric assessment of the nutritional status of people in ambulatory settings for both remote and in-person assessment. The most appropriate measures to the current pandemic scenario are also discussed, in order to contribute to the monitoring of nutritional status and to minimize health impacts.results CONCLUSION: When sanitary conditions cannot be guaranteed during in-person encounters or when the person cannot attend the office of the professional, the remote anthropometric assessment can be a useful strategy to nutritional surveillance.