OBJECTIVE: The aim of the present study was to evaluate the influence of anthropometric characteristics and gender on postural balance in adults. One hundred individuals were examined (50 males, 50 females; age range 20-40 years). METHODS: The following body composition measurements were collected (using bone densitometry measurements): fat percentage (% fat), tissue (g), fat (g), lean mass (g), bone mineral content (g), and bone mineral density (g/cm2). In addition, the following anthropometric measurements were collected: body mass (kg), height (cm), length of the trunk-cephalic region (cm), length of the lower limbs (cm) and length of the upper limbs (cm). The following indices were calculated: body mass index (kg/m²), waist-hip ratio and the support base (cm²). Also, a postural balance test was performed using posturography variables with open and closed eyes. RESULTS: The analysis revealed poor correlations between postural balance and the anthropometric variables. A multiple linear regression analysis demonstrated that the whole group (female and male) height explained 12% of the medial-lateral displacement, 10% of the speed of oscillation, and 11% of the displacement area. The length of the trunk-cephalic length explained 6% of the displacement in the anteroposterior direction. With eyes closed, the support base and height explained 18% of the medial displacement, and the lateral height explained 10% of the displacement speed and 5% of the scroll area. CONCLUSION: Measured using posturography, the postural balance was only slightly influenced by the anthropometric variables, both with open and closed eyes. Height was the anthropometric variable that most influenced postural balance, both in the whole group and separately for each gender. Postural balance was more influenced by anthropometric factors in males than females.

OBJECTIVE: This study aimed to analyze the physical and pulmonary capacities of hospitalized patients with severe coronavirus disease and its correlation with the time of hospitalization and complications involved. METHODS: A total of 54 patients, aged ≥18 years of both sexes, were evaluated 2-4 months after hospital discharge in São Paulo, Brazil. The physical characteristics analyzed were muscle strength, balance, flexibility, and pulmonary function. The K-means cluster algorithm was used to identify patients with similar physical and pulmonary capacities, related to the time of hospitalization. RESULTS: Two clusters were derived using the K-means algorithm. Patients allocated in cluster 1 had fewer days of hospitalization, intensive care, and intubation than those in cluster 2, which reflected a better physical performance, strength, balance, and pulmonary condition, even 2-4 months after discharge. Days of hospitalization were inversely related to muscle strength, physical performance, and lung function: hand grip D (r=−0.28, p=0.04), Short Physical Performance Battery score (r=−0.28, p=0.03), and forced vital capacity (r=−0.29, p=0.03). CONCLUSION: Patients with a longer hospitalization time and complications progressed with greater loss of physical and pulmonary capacities.

The rapid shift to remote work due to the COVID-19 pandemic has profoundly impacted work environments, intensifying challenges related to mental health and burnout among university professors. This study aimed to evaluate the presence of Burnout Syndrome (BS) in university professors following the adoption of remote home work (RHw) mandated by COVID-19 health measures and to identify key predictors, including both risk and protective factors. Virtual questionnaires were administered to 345 professors of both genders, collecting data on biosociodemographic, clinical health and lifestyle screen. The Maslach Burnout Inventory was used to assess BS. Results showed high levels of emotional exhaustion, low levels of depersonalization, and moderate levels of reduced personal accomplishment among professors. Protective factors against emotional exhaustion included older age, lack of irritation with RHw, and regular physical activity, while risk factors included excessive workload, dissatisfaction, irritability, fatigue, changes in body mass, and physical inactivity. Older professors showed lower levels of depersonalization, while body mass changes and frequent alcohol consumption increased it. For reduced personal accomplishment, protective factors included older age, greater work experience, and employment in private institutions, whereas dissatisfaction was a risk factor. Findings indicate that RHw results in chronic stress for professors, primarily through emotional exhaustion. Key contributing factors include excessive workload, dissatisfaction, irritability, fatigue, and pandemic-related lifestyle changes, while protective factors include older age, positive attitudes toward RHw, and regular physical exercise.

ABSTRACT Objective: To evaluate the association between bone mineral density (BMD) and body composition in healthy older adults at different skeletal sites. Methods: We analyzed 87 medical records and BMD along with the body composition of men ranging from 60 to 87 years of age (mean: 68.5, standard deviation: 6.5). Inclusion criteria were normal BMD values (T-score greater than or equal to -1.0) and body mass index within normal or overweight range (18.5 to 29.5 kg/m2). Body composition was evaluated using bone densitometry with dual-energy X-ray absorptiometry (DEXA) in a LUNAR-DPX apparatus. Results: Greater lean mass, fat mass, and soft tissue was associated with better BMD values in older adults, and higher age was associated with poorer BMD. Conclusion: Body composition (lean and fat masses and soft tissue) in older men is positively associated with BMD at all body sites (arms, legs, and trunk). Level of Evidence II; Prognostic studies - Investigating the effect of a patient characteristic on the outcome of disease.

ABSTRACT Objective: To evaluate bone mineral density (BMD) and body composition over a six-year period in elderly long-distance runners. Methods: We analyzed the medical records of elderly athletes who were long-distance runners, were participants of the IOT-HCFMUSP Orthogeriatric Group, and had their BMD evaluated between 2001 and 2007; of these athletes, 11 were included in the study. Inclusion criteria: athletes should be long-distance runners, should not stop long-distance running during the six-year period, and should have undergone BMD and body composition evaluations. Body composition was evaluated using bone densitometry with dual-energy X-ray absorptiometry with a Lunar-DPX device. Results: Over the six-year period, body composition remained stable, but there was a significant increase only in the fat percentage (p = 0.003). Conclusion: Long-distance running may maintain BMD but may lead to an increase in the fat percentage in elderly runners. Level of Evidence II; Prognostic Study - Investigating the Effect of Patient Characteristics on Disease Outcome.

The aim of this study was to perform a literature review on different methods of postural balance assessment and to provide a theoretical framework for further study of this subject. Medline, PubMed and LILACS databases were used to find currently employed methods which show good reproducibility and reliability. Clinical examination and scale application or force platform testing, each one with their own advantages and limitations, can be used to assess postural balance. There is no common standard. The evaluator should be familiar with all available methods in order to be able to select the most appropriate for his specific requirements.

CONTEXT AND OBJECTIVE: Maintainance of postural balance requires detection of body movements, integration of sensory information in the central nervous system and an appropriate motor response. The purpose of this study was to evaluate whether lower-limb dominance has an influence on postural balance. DESIGN AND SETTING: This was a cross-sectional study conducted at Faculdade de Medicina da Universidade de São Paulo (FMUSP) and at Hospital do Coração (HCor). METHODS: Forty healthy sedentary males aged 20 to 40 years, without any injuries, were evaluated. A single-foot balance test was carried out using the Biodex Balance System equipment, comparing the dominant leg with the nondominant leg of the same individual. The instability protocols used were level 8 (more stable) and level 2 (less stable), and three instability indices were calculated: anteroposterior, mediolateral and general. RESULTS: The volunteers' mean age was 26 ± 5 years (range: 20-38), mean weight 72.3 ± 11 kg (range: 46-107) and mean height 176 ± 6 cm (range: 169-186). Thirty-four of them (85%) presented right-leg dominance (defined according to which leg they used for kicking) and six (15%) had left-leg dominance. There were no significant differences between the dominant and nondominant legs at the two levels of stability (eight and two), for any of the instability indices (general, anteroposterior and mediolateral). CONCLUSION: The lower-limb dominance did not influence single-foot balance among sedentary males.