Use of the Sharpened Romberg as a Screening for Fall Risk: A Pilot Study

Design of a Sensor-Technology-Augmented Gait and Balance Monitoring System for Community-Dwelling Older Adults in Hong Kong: A Pilot Feasibility Study

Routine assessments of gait and balance have been recognized as an effective approach for preventing falls by issuing early warnings and implementing appropriate interventions. However, current limited public healthcare resources cannot meet the demand for continuous monitoring of deteriorations in gait and balance. The objective of this study was to develop and evaluate the feasibility of a prototype surrogate system driven by sensor technology and multi-sourced heterogeneous data analytics, for gait and balance assessment and monitoring. The system was designed to analyze users' multi-mode data streams collected via inertial sensors and a depth camera while performing a 3-m timed up and go test, a five-times-sit-to-stand test, and a Romberg test, for predicting scores on clinical measurements by physiotherapists. Generalized regression of sensor data was conducted to build prediction models for gait and balance estimations. Demographic correlations with user acceptance behaviors were analyzed using ordinal logistic regression. Forty-four older adults (38 females) were recruited in this pilot study (mean age = 78.5 years, standard deviation [SD] = 6.2 years). The participants perceived that using the system for their gait and balance monitoring was a good idea (mean = 5.45, SD = 0.76) and easy (mean = 4.95, SD = 1.09), and that the system is useful in improving their health (mean = 5.32, SD = 0.83), is trustworthy (mean = 5.04, SD = 0.88), and has a good fit between task and technology (mean = 4.97, SD = 0.84). In general, the participants showed a positive intention to use the proposed system in their gait and balance management (mean = 5.22, SD = 1.10). Demographic correlations with user acceptance are discussed. This study provides preliminary evidence supporting the feasibility of using a sensor-technology-augmented system to manage the gait and balance of community-dwelling older adults. The intervention is validated as being acceptable, viable, and valuable.

Incidence and risk factors associated with falls among women with breast cancer during taxane-based chemotherapy

PURPOSE

This study aims to evaluate the falling incidence density and examine the potential risk factors associated with falling among women with breast cancer during taxane-based chemotherapy.

METHODS

One hundred and twenty-three women with breast cancer participated in this study. The fall incidence density, taxane-induced peripheral neuropathy (TIPN) symptoms, and physical performance tests were evaluated at five time points throughout chemotherapy treatment. A fall diary was used to record fall incidence during treatment. The fall incidence density was calculated by dividing the number of first fall occurrences by person-time at risk. The risk factors associated with time to first fall were analyzed using the Cox proportional hazards model. The Kaplan-Meier curve illustrated the probability of survival from a fall during chemotherapy treatment.

RESULTS

Over the course of treatment, 29 (23.58%) participants reported falls. The fall incidence density was 3 per 1000 person-day. This study discovered a significant link between age (adjusted HR (HR_adj) = 1.07; 95% CI: 1.02-1.13) and BMI (HR_adj = 1.11; 95% CI: 1.02-1.21) and falling.

CONCLUSIONS

Women with breast cancer could fall for the first time at any time after starting chemotherapy until the end of the follow-up period. Furthermore, time to first fall was associated with age and BMI. Early detection of falling in women with breast cancer, particularly among older persons and those with a high BMI, may be essential to preventing falls.

Relationship between Associated Neuropsychological Factors and Fall Risk Factors in Community-Dwelling Elderly

This study examined whether neuropsychological factors could affect fall risk factors in the community-dwelling elderly via correlation analysis. A total of 393 older adults (76.69 ± 6.01) participated in this study. Cognitive function, depression, fall efficacy, balance confidence, balance, gait, and muscle strength were evaluated, and the correlation between psychological factors and fall risk factors was analyzed. Additionally, a multiple regression analysis was conducted to determine whether or not there was a significant effect between psychological factors and fall risk factors. Analysis showed that the psychological factors examined were all significantly correlated with the fall risk factors. A correlation analysis between cognitive function and fall risk factors showed that the correlation coefficient of the 6-Meter Walk Test was highest; for depression and fall risk factors, the correlation coefficient of gait speed was highest; for fall efficacy and fall risk factors, the correlation coefficient of the 6-Meter Walk Test was highest; and for confidence in balancing and fall risk factors, the correlation coefficient of the 6-Meter Walk Test was highest. This study suggests that psychological factors affect fall risk factors in the community-dwelling elderly, and a multifaceted approach that includes psychological factors would be helpful in providing interventions for falls.