Research Outputs
Relationship Between Executive Function Subdomains and Postural Balance in Community-Dwelling Older Adults
Background: Executive function (EF) deficits are a significant risk factor for falls among older adults (OAs). However, relationship between EF subdomains (shifting, updating, and inhibition), postural balance (PB), and fall risk in healthy OAs, remains poorly understood. Objective: This study aimed to investigate the relationship between EF subdomains (shifting, updating, and inhibition) and PB, and to assess their impact on risk of falls in community-dwelling OAs. Methods: A cross-sectional study involving 50 OAs aged over 60 years (average age of 72 years) was conducted. Participants underwent assessments of EF subdomains and PB using validated tests. A correlation analysis was employed to examine the relationships between EF and PB. Results: The study revealed significant correlations between subdomains and PB. Mental set shifting (r = −.539; p < .001) and inhibition (r = −.395; p = .050) exhibited inverse relationships with PB. Stepwise multiple linear regression showed that Trail Making Test Part B was associated with the PB (R2 = .42, p < .001). Conclusion: These findings highlight the importance of assessing EF subdomains, particularly shifting and inhibition, to identify risk of falls. Trail Making Test Part B largely explains the variability of the PB. Integrating PB assessments and EF training, such as the Mini-BESTest, into routine care can be vital for fall prevention strategies. Significance/Implications: This knowledge underscores the need for cognitive training interventions focusing on shifting and inhibition to enhance PB and potentially reduce falls. Additionally, incorporation of EF assessment tools as Trail Making Test Part B and the Mini-BESTest into routine clinical practice for community-dwelling OAs is recommended to address fall prevention strategies.
Spanish version of the mini-BESTest: A translation, transcultural adaptation and validation study in patients with Parkinson’s disease
Balance is affected in numerous neurologic disorders, like stroke, multiple sclerosis and Parkinson’s disease contributing to falls, and diminishing quality of life and functionality. The mini-BESTest is one of the most recommended scales to detect balance disorders in people with Parkinson’s disease, which has solid psychometric properties. Unfortunately, this scale has not been validated in Chile and there are no other validated scales that can determine balance disorders in patients with Parkinson’s disease to date. The study objective was to validate the mini-BESTest scale in Chilean Parkinson’s disease patients. The translation and adaptation to Chilean Spanish of the mini-BESTest scale were made following a cross-cultural adaptation process, to then obtain face and content validity by an expert committee. Afterwards, the demographic data and psychometric properties of internal consistency and ceiling and floor effects were measured with a sample of 50 subjects with Parkinson’s disease. Furthermore, 10 subjects of the sample were evaluated with the purpose of measuring inter rater reliability. The scale presented a good internal consistency (Cronbach’s alpha = 0.845), and an excellent inter rater reliability (intraclass correlation coefficient = 0.97), no ceiling or floor effects were found. The results of the face and content validity and psychometric properties are adequate, achieving the validation of the mini-BESTest scale for balance in Chilean people with Parkinson’s disease.
SAS4P: Providing automatic smoking detection for a persuasive smoking cessation application
Smoking is the biggest avoidable health risk, causing millions of deaths per year worldwide. Persuasive applications are those designed to change a person’s behavior, usually in a specific way. Several mobile phone applications and messaging systems have been used to promote smoking cessation. However, most interventions use participants’ self-reports to track cigarette consumption and avoidance, which may not be accurate or objective. Previous proposals have used sensors to track hand movements and other contextual data to detect smoking or have used devices to detect smoke or breath carbon monoxide. This article proposes a low-cost wearable device that may be worn in a front shirt pocket or clipped to clothing to detect smoke and secondhand smoke. Furthermore, the device is integrated into a persuasive application to promote smoking cessation. The device was evaluated through an experiment to detect whether it may detect direct, passive, and no smoking conditions. The results are promising and may help improve tracking of cigarettes in persuasive applications.