Medidas temporoespaciais indicativas de quedas em mulheres saudáveis entre 50 e 70 anos avaliadas pela análise tridimensional da marcha

Gervásio, Flávia Martins; Santos, Guilherme Augusto; Ribeiro, Darlan Martins; Menezes, Ruth Losada de

doi:10.1590/1809-2950/15661923042016

Cited by 9 publications

(4 citation statements)

References 33 publications

(24 reference statements)

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“…The required sample size was 145. The parameters used were based on previous studies with samples including the adult and older population 5,15,16 .…”

Section: Samplementioning

confidence: 99%

“…The number of adult and older adult women is higher than that of men in the general Brazilian population 3 It was demonstrated that women are at increased risk of more frequent tripping and falling than age-matched men 4 . However, there is lack of studies in Brazilian and international literature verifying changes in static postural balance related to the quality of therapeutic exercise performed by women in the transition between adult and older ages 5 .…”

Section: Introductionmentioning

confidence: 99%

“…As compared to men, adult and older women practice physical activities more frequently. This habit is beneficial in several bodily aspects and as a health indicator (5,6). As for motor performance, it is not yet clear whether the practice of physical activity influences plantar pressure variations and foot morphology.…”

Section: Introductionmentioning

confidence: 99%

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Effect of visual condition and physical activity on the plantar pressure distribution in adult and older women

Sousa

Vieira

Moreira

et al. 2021

Rev. bras. cineantropom. desempenho hum.

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The aging process causes changes in the physical and functional conditions, as well as in the foot structure and function. This study aimed to analyze the plantar pressure variation with respect to visual information and physical activity in adult and older women. This was a cross-sectional study that included 142 women (mean age of 67.8 years). Participants responded the anamnesis questionnaire, Mini Mental State Examination, and International Physical Activity Questionnaire. Plantar pressure was assessed using computerized baropodometry. Weight distribution was observed in semitandem positions for the right foot forward and then the left foot forward . Data analysis showed that foot type had no correlation with age (p = 0.37 right foot; p = 0.93 left foot) or level of physical activity (p = 0.28 right foot; p = 0.96 left foot). Moreover, plantar pressure variation showed no significant relationship with age (R2 = 0.2; p = 0.6). In conclusion, plantar pressure variation is not associated with the morphological foot type in women analyzed, as the visual condition did not generate plantar pressure variations when compared to its effect on the classification of plantar arches. Furthermore, level of physical activity was not associated with plantar pressure variation .

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“…The required sample size was 145. The parameters used were based on previous studies with samples including the adult and older population 5,15,16 .…”

Section: Samplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effect of visual condition and physical activity on the plantar pressure distribution in adult and older women

Sousa

Vieira

Moreira

et al. 2021

Rev. bras. cineantropom. desempenho hum.

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“…Previous studies have identified several gait related parameters as risk factors for falls. Fallers have been identified as having gait deficiencies on spatiotemporal gait parameters [4,8,14], gait stability [3], or on kinematic gait parameters as minimum toe clearance [9].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Machine Learning Models to Predict Risk of Falling in Osteoporosis Elderly

Cuaya-Simbro

Sanpablo²,

Muñoz-Meléndez

et al. 2020

Foundations of Computing and Decision Sciences

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AbstractFalls are a multifactorial cause of injuries for older people. Subjects with osteoporosis are more vulnerable to falls. The focus of this study is to investigate the performance of the different machine learning models built on spatiotemporal gait parameters to predict falls particularly in subjects with osteoporosis. Spatiotemporal gait parameters and prospective registration of falls were obtained from a sample of 110 community dwelling older women with osteoporosis (age 74.3 ± 6.3) and 143 without osteoporosis (age 68.7 ± 6.8). We built four different models, Support Vector Machines, Neuronal Networks, Decision Trees, and Dynamic Bayesian Networks (DBN), for each specific set of parameters used, and compared them considering their accuracy, precision, recall and F-score to predict fall risk. The F-score value shows that DBN based models are more efficient to predict fall risk, and the best result obtained is when we use a DBN model using the experts’ variables with FSMC’s variables, mixed variables set, obtaining an accuracy of 80%, and recall of 73%. The results confirm the feasibility of computational methods to complement experts’ knowledge to predict risk of falling within a period of time as high as 12 months.

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Slip Resistance of Footwear

Chanda,

Gupta,

Chatterjee

2023

Footwear Traction

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Medidas temporoespaciais indicativas de quedas em mulheres saudáveis entre 50 e 70 anos avaliadas pela análise tridimensional da marcha

Cited by 9 publications

References 33 publications

Effect of visual condition and physical activity on the plantar pressure distribution in adult and older women

Effect of visual condition and physical activity on the plantar pressure distribution in adult and older women

Comparison of Machine Learning Models to Predict Risk of Falling in Osteoporosis Elderly

Slip Resistance of Footwear

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