ALEXANDRE LEOPOLD BUSSE
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/66, Hospital das Clínicas, Faculdade de Medicina
LIM/66, Hospital das Clínicas, Faculdade de Medicina
4 resultados
Resultados de Busca
Agora exibindo 1 - 4 de 4
- Short Assessment of Health Literacy for Portuguese-Speaking Adults(2012) APOLINARIO, Daniel; BRAGA, Rafaela de Castro Oliveira Pereira; MAGALDI, Regina Miksian; BUSSE, Alexandre Leopold; CAMPORA, Flavia; BRUCKI, Sonia; LEE, Shoou-Yih DanielOBJECTIVE: To develop and validate a short health literacy assessment tool for Portuguese-speaking adults. METHODS: The Short Assessment of Health Literacy for Portuguese-speaking Adults is an assessment tool which consists of 50 items that assess an individual's ability to correctly pronounce and understand common medical terms. We evaluated the instrument's psychometric properties in a convenience sample of 226 Brazilian older adults. Construct validity was assessed by correlating the tool scores with years of schooling, self-reported literacy, and global cognitive functioning. Discrimination validity was assessed by testing the tool's accuracy in detecting inadequate health literacy, defined as failure to fully understand standard medical prescriptions. RESULTS: Moderate to high correlations were found in the assessment of construct validity (Spearman's coefficients ranging from 0.63 to 0.76). The instrument showed adequate internal consistency (Cronbach's alpha=0.93) and adequate test-retest reliability (intraclass correlation coefficient=0.95). The area under the receiver operating characteristic curve for detection of inadequate health literacy was 0.82. A version consisting of 18 items was tested and showed similar psychometric properties. CONCLUSIONS: The instrument developed showed good validity and reliability in a sample of Brazilian older adults. It can be used in research and clinical settings for screening inadequate health literacy.
- Crash Risk Predictors in Older Drivers: A Cross-Sectional Study Based on a Driving Simulator and Machine Learning Algorithms(2023) SILVA, V. C.; DIAS, A. S.; GREVE, J. M. D.; DAVIS, C. L.; SOARES, A. L. D. S.; BRECH, G. C.; AYAMA, S.; JACOB-FILHO, W.; BUSSE, A. L.; BIASE, M. E. M. de; CANONICA, A. C.; ALONSO, A. C.The ability to drive depends on the motor, visual, and cognitive functions, which are necessary to integrate information and respond appropriately to different situations that occur in traffic. The study aimed to evaluate older drivers in a driving simulator and identify motor, cognitive and visual variables that interfere with safe driving through a cluster analysis, and identify the main predictors of traffic crashes. We analyzed the data of older drivers (n = 100, mean age of 72.5 ± 5.7 years) recruited in a hospital in São Paulo, Brazil. The assessments were divided into three domains: motor, visual, and cognitive. The K-Means algorithm was used to identify clusters of individuals with similar characteristics that may be associated with the risk of a traffic crash. The Random Forest algorithm was used to predict road crash in older drivers and identify the predictors (main risk factors) related to the outcome (number of crashes). The analysis identified two clusters, one with 59 participants and another with 41 drivers. There were no differences in the mean of crashes (1.7 vs. 1.8) and infractions (2.6 vs. 2.0) by cluster. However, the drivers allocated in Cluster 1, when compared to Cluster 2, had higher age, driving time, and braking time (p < 0.05). The random forest performed well (r = 0.98, R2 = 0.81) in predicting road crash. Advanced age and the functional reach test were the factors representing the highest risk of road crash. There were no differences in the number of crashes and infractions per cluster. However, the Random Forest model performed well in predicting the number of crashes.
- Muscle strength, postural balance, and cognition are associated with braking time during driving in older adults(2016) ALONSO, Angelica C.; PETERSON, Mark D.; BUSSE, Alexandre L.; JACOB-FILHO, Wilson; BORGES, Mauricio T. A.; SERRA, Marcos M.; LUNA, Natalia M. S.; MARCHETTI, Paulo H.; GREVE, Julia M. D. A.Background: Despite the well-known declines in driving performance with advancing age, there is little understanding of the specific factors that predict changes in key determinants such as braking time. Objectives: The aims of this study were to determine the extent to which age, muscle strength, cognition and postural balance are associated with braking performance in middle-aged and older adults. Methods: Male and female middle-aged adults (n = 62, age = 39.3 +/- 7.1 years) and older adults (n = 102, age = 70.4 +/- 5.8 years) were evaluated for braking performance, as well as in several motor and cognitive performance tasks. The motor evaluation included isokinetic ankle plantar flexor muscle strength, handgrip strength, and postural balance with and without a cognitive task. The cognitive assessment included the Mini Mental State Examination. Braking performance was measured using a driving simulator. Results: Older adults exhibited 17% slower braking time, lower strength, and poorer performance in the postural balance (p < 0.001). For both older and middle-aged adults, significant correlates of braking time included performance in the postural balance tests, muscle strength, and cognitive function. However, after full model adjustment, only postural balance and cognitive function were significantly associated. Conclusion: Muscle strength, postural balance, and cognition are associated with braking time, and may affect the safety of and driving performance in older adults. These findings may help to inform specific targeted interventions that could preserve driving performance during aging.
- Adaptation to the driving simulator and prediction of the braking time performance, with and without distraction, in older adults and middle-aged adults(2023) CANONICA, Alexandra Carolina; ALONSO, Angelica Castilho; BRECH, Guilherme Carlos; PETERSON, Mark; LUNA, Natalia Mariana Silva; BUSSE, Alexandre Leopold; JACOB-FILHO, Wilson; ROSA, Juliana Leme; SOARES-JUNIOR, Jose Maria; BARACAT, Edmund Chada; GREVE, Julia Maria D'AandreaContext: Many studies show the importance of evaluating the adaptation time of subjects in a virtual driving environment, looking forwards to a response as closest as a possible real vehicle. Objectives: This study aimed to identify and analyze the adaptation to the driving simulator in older adults and middle-aged adults with and without a distraction, and a secondary aim was to identify predictors of safe performance for older adults' drives.Design: Male and female middle-aged adults (n = 62, age = 30.3 +/- 7.1 years) and older adults (n = 102, age = 70.4 +/- 5.8 years) were evaluated for braking time performance in a driving simulator; cognition performance assessment included the Mini-Mental State Examination; motor evaluation included ankle flexor muscle strength with the isokinetic dynamometer and handgrip strength; the postural balance was evaluated with Timed Up and Go test, with and without a cognitive distraction task.Results: Older adults (men and women) and middle-aged adult women require more time to adapt to the driving simulator. The distractor increases the adaptation time for all groups. The main predictors of braking time for older women are age, muscle strength, and postural balance associated with distraction, and for older men, muscle strength.Conclusions: Age, sex, and distractor interfere in the adaptation of the virtual task of driving in a simulator. The evaluation model developed with multi-domains demonstrated the ability to predict which skills are related to braking time with and without the presence of the distractor.